Skip Navigation

Medical Expenditure Panel Survey
Medical Provider Component (MEPS-MPC)

Methodology Report 2022 Data Collection

Deliverable OP2-4
Version 2.0
June 2024

Prepared for:
Agency for Healthcare Research and Quality
Emily Mitchell, PhD
AHRQ Project Officer
AHRQ, Center for Financing, Access & Cost Trends
5600 Fishers Lane
Rockville, Maryland 20857

Prepared by:
RTI International
3040 Cornwallis Road
PO Box 12194
Research Triangle Park, NC 27709-2194

RTI Project Number 0218180.002
AHRQ Contract Number 75Q80121C00005


Table of Contents

1 Introduction
1.1 Changes from 2021 MPC to 2022 MPCC
2 Preparations for the 2022 MPC
2.1 Sample Preparations
2.2 Sample Maintenance
2.3 Integrated Data Collection System
2.4 Enhanced Security Network
2.5 Recruiting and Training
3 Data Collection
3.1 Provider Recruitment and Data Collection Procedures
3.2 Data Abstraction
3.3 Coding Text Fields Collected in the 2022 MPC
3.4 Data Collection Schedule
3.5 Data Collection Results
Appendix A: Acronyms and Definitions
Appendix B: MPC Data Collection Summary Tables
Appendix C: Critical Items

Table 2-1 Household Component Design Features Related to the MPC
Table 3-1 Percent of Participating Contact Groups that Provided Records, 2019-2022
Table 3-2 MPC Data Collection Schedule 2019-2022
Table 3-3 Provider-Level Completion Rates, MPC 2019-2022
Table 3-4 Pair-level Completion Rates, MPC 2019-2022
Table 3-5 SBD Node-Level Completion Rate, MPC 2019-2022
Table 3-6 Refusal Conversation Outcomes: Final Disposition of Contact Groups Initially Coded as Refusal, MPC 2019-2022
Table 3-7 Hours per Completed Pair/Node, 2019-2022

Figure 3-1 Hospital providers: Response factors over time
Figure 3-2 Office-Based providers: Response factors over time
Figure 3-3 SBD providers: Response factors over time
Figure 3-4 Pharmacy providers: Response factors over time


1. Introduction

The Medical Expenditure Panel Survey (MEPS) has been conducted by the Agency for Healthcare Research and Quality (AHRQ) each year since 1996. MEPS is a set of large-scale surveys of families and individuals, their medical providers, and their employers across the United States. MEPS collects data on specific health services, including frequency of use, costs, and sources of payment for services, and on the cost and scope of health insurance covering U.S. workers.

This report describes the methodology of the 2022 Cycle of the MEPS Medical Provider Component (MPC1) . The MEPS-MPC collects data from Hospitals, Office-Based Doctors (OBD), Home Health Agencies, Institutions (such as long-term care facilities) and Pharmacies reported by MEPS Household Component (HC) respondents as well as doctors who provide services for patients in Hospitals but bill separately from the Hospital (referred to as Separately Billing Doctors or SBDs). (See Section 2.1 for additional information about provider types.) The MEPS-HC is conducted by Westat, Inc. and the MEPS-MPC is conducted by RTI International and Social & Scientific Systems, Inc. (SSS, a DLH Holdings Corp. Company).

For each cycle, providers for the MPC sample are identified in three rounds of HC data collection for two HC panels (see Table 2-1). Overall the HC panel design features five core rounds of interviewing over the course of two full calendar years. The HC collects data from a sample of families and individuals in selected communities across the United States, drawn from a nationally representative subsample of households that participated in the prior year's National Health Interview Survey (conducted by the National Center for Health Statistics, Centers for Disease Control and Prevention).

During the household interviews, the HC collects detailed information for each person in the household including demographic characteristics, health conditions, health status, use of medical services, charges and source of payments, access to care, satisfaction with care, health insurance coverage, income, and employment.

The 2022 MPC cycle was conducted by RTI International and SSS under the second option year of the 2021-2024 contract awarded by AHRQ to RTI in 2021. RTI completed data collection for Hospitals, Office-Based Doctors, Institutions, Home Health Agencies, and Separately Billing Doctors (SBDs), while SSS completed data collection for Pharmacies.

1 Following convention, the 2022 MPC refers to the data collected about calendar year 2022 which are matched with data from the 2022 Household Component (HC) of MEPS. Data collection for 2022 MPC began in January 2023 and continued through January, 2024 (see Section 3.4).

Return to Table of Contents

1.1 Changes from 2021 MPC to 2022 MPC

Prior to data collection beginning, a number of recommended Contact Guide and Event Form changes was submitted to AHRQ for review and approval. This included the routine change of updating the reference year from 2021 to 2022. There were also changes to the Contact Guide, designed to assist newer data collection specialists (DCSs) with becoming acclimated to the Contact Guide and Point of Contact (POC) Module while working OBD cases by improving the overall flow. Many of these changes improved flow for other provider types, as well. These changes included:

A number of changes was also made to the Event Forms, including:

Detailed information about item wording and instrument flow was provided to AHRQ in Deliverable OP2-11, MPC 2022 Final Data Collection Instruments.

The onset of the COVID-19 pandemic in the U.S. in mid-March 2020 required the 2019 cycle data collection team to substantially alter plans and assumptions to accommodate remote operations that helped ensure the safety and health of project staff. The team transitioned to remote data collection in March 2020, following facility closure. Systems enhancements and overhauls took place from April through September of 2020 that allowed for offsite abstraction and improved records management for remote staff. For the 2021 cycle, with the re-opening of on-site facilities, the MPC team shifted to a hybrid work environment with a blend of remote and in-person work. This general work model was maintained for the 2022 cycle. There were several groups of staff who worked on-site, in-person During the 2022 cycle including: 1) various clerical and management staff who previously received clearance as “business essential” to remain on-site to receive and process incoming records for data collection, 2) newly-hired DCSs who worked post New-to-Project (NTP) training incubation on-site before transitioning to remote work from home (and their supervisors), and 3) select DCSs struggling to maintain project standards for quality and efficiency who were required to work on-site to receive additional coaching (with their supervisors).

Even with the shift to a hybrid work environment, enhancements and improvements implemented during the 2019-2021 cycles were again utilized in the 2022 cycle, including:

Similar to the team's experience in the 2019-2021 cycles, due to the lingering impact from COVID-19, POCs for the 2022 cycle remained more difficult to reach and still struggled to overcome system and fax access issues, staff shortages, and reduced hours onsite, among other impacts and thus the data collection team experienced a continuation of lengthy turnaround times for receiving records throughout the data collection cycle.

Return to Table of Contents

2. Preparations for the 2022 MPC

This section describes the 2022 MPC provider sample and preparations for data collection, including grouping patient-provider pairs by provider, grouping providers for the purpose of contacting facilities, and updating locating information.

Return to Table of Contents

2.1 Sample Preparations

Respondents in the HC are asked to identify all medical providers associated with healthcare services received by each member of the household for the reference period associated with the time period of the interview date. Thus, the basic sample unit in the MPC is a patient-provider pair (referred to as a “pair”) where the patient is a member of a household participating in the HC and the provider is identified in the household survey as one associated with a medical event, that is, an office visit, a Hospital stay or visit to an outpatient or emergency department, a prescription for medicine, or other healthcare event. To facilitate the MPC contacting medical providers household members are asked to sign an AF indicating their agreement to allow providers to release information about the event to the MPC. This form is compliant with the Health Insurance Portability and Accountability Act (HIPAA) implemented in 2003.

Within the HC, the term “medical provider” is intended to include any type of practitioner contacted by the household for what the household considers to be healthcare—hospitals, clinics, long-term care institutions, HMOs, medical doctors and doctors of osteopathy, dentists, home care providers, optometrists, podiatrists, chiropractors, psychologists, and other practitioners.

Eligibility for the MPC is restricted to services rendered in a hospital or by a medical doctor or doctor of osteopathy (MD or DO) or under the supervision of a MD or DO. The MPC excludes services provided by dentists, optometrists, psychologists, podiatrists, chiropractors, and other kinds of healthcare practitioners who do not provide care under the supervision of a MD or DO.  Care provided by home care agencies is an exception to this criterion; the sample design includes all care provided through a home care agency. Pharmacies reported as sources of prescription medicines obtained by household respondents make up a fifth group of MPC pairs generated from the MEPS-HC. However, the MPC excludes pharmacies that provided durable medical equipment (DME) only and no prescriptions.  Finally, additional pairs identified during the MPC data collection as SBDs are identified in medical records obtained from Hospitals and Institutions.

In summary, provider types included in the MPC are:

Hospitals—Providers associated with an inpatient stay as well as hospital outpatient department or emergency room

Institutions—Long-term care providers

Pharmacies—Pharmacies (corporate and non-corporate) where household respondents obtained or purchased prescription medicines

Office-Based Doctors (OBDs)—Physicians (MDs and DOs) associated with non-Hospital care.

Home Health—Providers associated with care provided in the home of the household respondent, including either healthcare (Health Agencies) or other services excluding healthcare (Non-Health Agencies)

Separately Billing Doctors (SBDs)—Providers added to the MPC sample during abstraction of medical and patient account records of Hospitals and Institutions. Charges and payments for their services are not included in the Hospital or Institution financial records and must be obtained by contacting the offices of the SBDs.

Return to Table of Contents

2.1.1 Sample files in the 2022 MPC

The HC contractor prepared pair data from the computer assisted personal interview (CAPI) survey instrument used in the HC. For Non-Pharmacy pairs, the file includes pairs with eligible dates of utilization (that is, calendar year 2022). In the file for Pharmacy pairs, the events (prescriptions) are not dated. Files for all provider types include the AF signed by the household respondents. AHRQ subsampled OBDs at the HC Reporting Unit (RU) level, and delivered the extracted MPC sample files to RTI.  The 2022 MPC OBD subsampling rate was 65%. Table 2-1 summarizes design features of the HC related to the MPC.

Table 2-1. Household Component Design Features related to the MPC

  2019 2020 2021 2022
  Panel 23,
Year 2
(Round 5)
Panel 24,
Year 1
(Round 3)
Panel 24,
Year 2
(Round 5)
Panel 25,
Year 1
(Round 3)
Panel 25,
Year 2
(Round 5)

Panel 26,
Year 1
(Round 3)

Panel 26,
Year 2
(Round 5)

Panel 27,
Year 1
(Round 3)

No. of PSUs for household sample 143 139 139 139 139 150 150 150
No. of household interviews 6,503 6,812 5,510 5,190 3,712 4,882 na 1 na 1
Subsampling of Office-Based Doctors in CAPI No No No No No No No No
Subsampling of Office-Based Doctors after CAPI Yes Yes Yes Yes Yes Yes Yes Yes

Sources: MEPS Household Component Annual Methodology Report (June 30, 2023) Westat, Inc, Table 1.1 and Table 4.2.

1 The number of completed household interviews for these Panels/Rounds was not available in Table 4.3 of the June 30, 2023 Household Component Methodology Report

Input to the MPC sample was provided in six separate files.

  1. Records in the main sample file were identified at the pair (PAIRID) level. All other files used to construct and load the sample were merged with this file. This file identified the MPC cases loaded into the Integrated Data Collection System (IDCS) Control System (CS) and tracked throughout the MPC data collection period. For the purposes of data collection in the MPC, the CS tracked at the event level, pair level, and provider level. During the matching process, the MPC data collected was linked back to the pairs from this original HC sample file.
  2. The person file contained identifying information for every household member associated with a pair in the main sample file. The file can be merged with the main sample using the person ID (PERSID).
  3. Provider contact information is contained in the NPI provider directory used by HC interviewers and the monthly non-matched files delivered by Westat containing providers not found in the NPI directory.  For providers identified in the NPI directory, the provider ID (PDDIRID) is the NPI ID (NPIPRVID) from the NPI directory.  For providers not identified in the directory, the provider ID (PDDIRID) is the PROVID assigned by Westat in the monthly files of non-matched providers. Both files contain provider name and contact information. For the non-matched providers, the contact information is the provider name and address that was provided by the HC respondent. The contact information was then loaded into the control system as part of the MPC case.
  4. The Pharmacy directory file can be merged with the main sample file using PHADIRID (same as PDDIRID) so that the name and contact information of the Pharmacy can be loaded as part of the Pharmacy case.
  5. Beginning with the 2017 HC, a Pharmacy NPI directory was used by the HC interviewers to assign IDs to pharmacies. If a match was found, a pharmacy NPI ID was assigned to the pharmacy reported by the HC respondent. The pharmacy NPI directory was delivered with the sample files and was merged with the main sample file using the Pharmacy NPI ID (NPIPHAID).
  6. Beginning with the 2018 cycle, RTI developed code for assigning pharmacy chain codes by searching for text strings in the pharmacy names.

Return to Table of Contents

2.1.2 MPC Sample Delivery from Household Component

For the 2022 MPC, Westat extracted the sample files used for inclusion in the MPC sample in three waves. Westat delivered the Pharmacy sample files directly to RTI. The Non-Pharmacy files were first delivered to AHRQ for OBD subsampling and then forwarded to RTI for processing. The waves of sample files were delivered to RTI in January (Wave 1), April (Wave 2), and July (Wave 3). A total of 49,115 pairs were in the 2022 MPC sample files delivered to RTI: 37,977 (77.3%) in Wave 1 of sample delivery; 6,499 (13.2%) in Wave 2; and 4,639 (9.4%) in Wave 3.

Beginning with the 2020 cycle, pairs with Veterans Administration (VA) providers were held back from the MPC sample releases. The data for these pairs were extracted from agency databases by the Health Economics Resource Center (HERC). The 2022 MPC sample contained a total of 721 VA pairs across provider types. Because of this and other sample processing steps, the number of pairs in the sample files delivered to RTI in the paragraph above is not equal to the number of pairs fielded.

The following data elements were included in the MPC sample in order to identify each pair:

These data elements are necessary to define a pair, a key data collection unit of the MPC. The extracted file records were sorted so that all pairs for a provider were listed together, thereby creating provider-level records.  (For more information about the data elements included in the extraction files, see the deliverable OP2-7 - Consolidated Non-SBD Sample Preparation and Implementation Report).

Return to Table of Contents

2.2 Sample Maintenance

In order to facilitate data collection, RTI sorted providers into contact groups, that is, groups where several providers share the same contact information (e.g., telephone number, practice name, street number, and provider name). Potential groups were carefully reviewed to confirm that grouping was appropriate. In the formation of contact groups, provider identification numbers and other detailed information from the HC were preserved to assure accurate linkages back to the initial sample files. During the MPC data collection, the IDCS enabled contact groups to change as facilities could be restructured, bought out by other entities, or change location of the medical and/or patient account records.

Return to Table of Contents

2.2.1 Contact Groups

All pairs were assigned to contact groups. A pair was assigned to a contact group first by checking whether the provider in the 2022 MPC sample was in a previous cycle’s MPC sample. If so, the pair was assigned to the provider’s most recent contact group. Providers not found in a previous MPC sample were grouped to form a new contact group based on the provider’s contact information. An automated process grouped pairs by telephone number, address fields, and a SOUNDEX program in SAS to identify similar practice or provider names.

As in prior cycles, before delivery of sampled pairs, Westat checked for duplicate pairs based on unique identification numbers assigned to each person (PERSID) and provider (PROVID). The sample preparation process at RTI included further checking for duplicate pairs by searching the sample files for pairs that had the same PERSID and NPI identifier but a different PROVID. When duplicate pairs were identified, one pair was assigned a code that indicated the pair had been merged. This merged code was used to prevent the pair from being fielded. The other pair was fielded for data collection.

An additional check searched pairs within the same RU for instances where pairs had the same provider telephone number (reasoning that in these situations, providers with the same telephone numbers might be the same individual). Suspected duplicate providers were confirmed through manual review of provider names and addresses and, if associated with the same person, merged as above.

HMO providers were grouped together and assigned to a small team to coordinate contacts with common corporate offices rather than with the individual providers. This grouping facilitated efficient contacts for recruiting HMO providers into the study and helped to make records abstraction more consistent and efficient.

Return to Table of Contents

2.2.2 Provider Type Classification

Provider type classification in the MPC is critically important operationally for several reasons. Because Hospital events are likely to be associated with high expenditures, it is important to track provider type participation to assure that Hospital providers are responsive to the survey. Hospitals are often complex environments, especially for data collection projects, and thus the MPC data collection instruments are designed to assist the data collection staff in dealing with multiple points of contact within the Hospital and with potentially more complicated medical records and patient account information. The MPC Hospital data collection forms are also designed to facilitate the collection of SBD information associated with Hospital events.

Provider type was assigned at both the pair level and the provider level. The initial provider type for the pair was assigned during the HC interview when the household respondent identifies the type of medical events associated with a medical provider. During sample processing, the household provider type is updated. First, labs and dialysis centers, imaging centers, and surgery centers are assigned a Hospital provider type. Second, providers are assigned a Hospital provider type if they were in a Hospital contact group in the previous wave.

Note that the provider type assigned during the HC could have been incorrect because of a household respondent’s misunderstanding about a provider’s status. Typically, this occurred when a household respondent confused Hospital and Office-Based Doctors. Efforts were made to correct the classification during sample preparation and during the field period.

Following the sorting of provider pairs into contact groups, RTI reviewed the composition of contact groups to see if provider classification at the pair level was consistent within contact group. Inconsistencies, such as an OBD pair in a Hospital contact group, were resolved by creating a new contact group, so that all providers within a contact group were consistent.

In addition, during data collection, staff periodically learned that the provider type was incorrect and the field was updated so that the appropriate event form could be administered. The most common change was to a Hospital provider from another provider type, typically an OBD provider. This provider type change was important so that the appropriate Hospital Event Form could be used to collect SBD information. Updating provider type was uncommon among other provider types.

As a result of such provider type changes during sample preparation and during data collection, in the 2022 MPC, the count of Hospital pairs increased by 1163 pairs, an increase of 12% between the count of Hospital pairs in the HC sample and the count at the close of the field period. Among changes to Hospital provider type, 18% occurred during sample preparation and 82% during data collection. The overall count of Home Health pairs increased by 47, an increase of approximately 6%. The overall count of Institution pairs stayed the same and the overall count of OBD pairs decreased by 1,214 (6.1%).

Return to Table of Contents

2.2.3 Priority Code

Starting in the 2022 cycle, patients were flagged as high priority if they had one or more in-patient hospital stay for any length of time. Cases (contact groups) with patients having a high priority flag are contacted and worked earlier by the data collection staff when working MPC cases. Once the priority flag is set at the person-level, it is rolled up to the provider and contact group levels. That is, any contact group that includes at least one high-priority person will be a high-priority contact group, regardless of the characteristics of other persons associated with that contact group. These priority cases are closely tracked and monitored during MPC data collection using production reports that track the progress of completing these priority cases.

Return to Table of Contents

2.2.4 Fielding the 2022 MPC Sample

The 2022 MPC sample (consisting of Hospital, Institution, OBD, Pharmacy, and Home Health pairs identified in the HC) was fielded in three waves following the receipt of each wave from Westat and AHRQ. Given the HC data collection procedures, it is possible for a pair to be included in more than one wave of the MPC sample. Before fielding each subsequent wave, the sample was reviewed to identify pairs that had been included in an earlier wave. When a pair in the new wave matched a pair from an earlier wave and the same event types were reported in both (or all three) waves, the pair was not fielded in the later wave. If different event types are reported, the case is reviewed to determine whether additional data collection is necessary. (Fielding the SBD sample is discussed in Section 3.1 below.)

Return to Table of Contents

2.3 Integrated Data Collection System

The MPC IDCS supported the 2022 MPC data collection and tracking requirements. Its main purposes were to:

The IDCS is a Windows .Net MVVM based system that facilitated obtaining Points of Contact, call scheduling, contact information, appointment times, and event/status information. This system was tightly integrated with Blaise based MEPS-MPC Event Forms for data capture either during telephone calls or record abstraction.

The components of the IDCS are described in the following paragraphs.

Return to Table of Contents

2.3.1 Components of the Integrated Data Collection System

Case Management System (CMS)

The CMS provided oversight and control over the MPC sample by tracking pending and final disposition for individual cases and for the aggregate sample. The CMS imported the provider sample files and arranged information about providers and patient into contact groups to facilitate provider recruiting efforts and data collection. For individual cases, the CMS tracked the completion of data collection by individual medical events, patients, providers and provider practices (contact groups), providing production supervisors and project staff a tool for measuring progress in completing the varied data collection units in the MPC. The CMS triggered the production of materials (including AFs) faxed, mailed, or sent via the webportal to providers. It notified data collection staff that these materials had been sent to providers and generated notices for follow-up. At the aggregate level, the CMS produced daily standard or customized reports to track performance of the data collection activity. The CMS was used to monitor production of cases completed via record abstraction as well as by telephone.

Contact Guide

The Contact Guide was programmed as an aid for recruiting providers across all provider types. The Contact Guide was used to record contact information for several points of contact within a provider organization (e.g., a group practice or Hospital) and results of each contact. The Contact Guide included the capability to generate packages of materials, including copies of a patient’s signed AF that were then either faxed or mailed to providers. Starting with the 2017 cycle, a secure portal was also used for sending AF packets to providers and receiving scanned medical records from them. The Contact Guide interacted with the CMS to prompt follow-up contacts with providers after an appropriate time (24 hours for faxed material or material sent via the webportal; 5 days for mailed material).

Event Forms

Event Forms were used for collecting information either during telephone calls with providers or by abstracting medical or patient account records. The Event Forms were designed to be adaptable to the particular format of medical and patient account records maintained by providers. The Event Forms featured edit checks on individual items and were also programmed to alert users to inconsistencies that may be resolved either with telephone respondents or by further investigation in hard copy records. As each Event Form was completed, it was checked for critical items and, if missing, the Form was flagged for follow-up.

Completion of Event Forms was tracked automatically in the CMS to record progress in completing information about medical events, patients, providers, and provider contact groups.

Assignment Transfer

The Assignment Transfer System was used to assign cases among the data collection staff. It was also used to reassign a reluctant provider to a more skilled negotiator on the data collection team or to balance and adjust workloads following staffing changes. Results of all previous call attempts or entered data were accessible to the new user.

Automated Fax/Mail/Web portal

Prior to data collection and using the contact information collected from the provider during initial contact, providers were sent (by fax, mail, or web portal) the following materials:

Return to Table of Contents

2.4 Enhanced Security Network

All files containing personally identifiable information (PII) or protected health information (PHI) were stored and managed within the FIPS-Moderate Enhanced Security Network (ESN), a network developed by RTI to meet the security requirements of NIST SP 800-53, Rev.4, Recommended Security Controls for Federal Information Systems and Organizations at the Moderate level (http://nvlpubs.nist.gov/nistpubs/SpecialPublications/NIST.SP.800-53r4.pdf). A key IDCS security feature provided access to the MEPS MPC desktop based on the login attributes assigned to individual users.

Return to Table of Contents

2.5 Recruiting and Training

DCSs were the “front-line” staff charged with contacting medical providers and abstracting medical event data from medical and payment records. Abstracting this information could be completed either over the telephone in interviews with provider staff or by abstracting records sent in by providers. Separate training modules were conducted to emphasize the different skills necessary to complete data collection in either mode. Although some DCSs developed expertise in either one or the other mode, many DCSs were cross-trained for either telephone or records abstraction methods.

Return to Table of Contents

3. Data Collection

In the 2022 MPC, the project team continued to follow a core protocol for collecting information from providers. The protocol was customized in the Event Forms to address the unique challenges of each provider type. Project procedures were designed to make data collection as efficient as possible for the providers and DCSs.

As noted in Section 2.1, the pairs in the sample files were sorted by provider. In addition, providers who appeared to work in the same practice were sorted into contact groups to minimize the number of contact attempts with individual providers.

As part of the initial communication with each contact group, the DCS identified appropriate POCs to facilitate data collection completion. The Contact Guide was designed to enable DCSs to record the outcome of each contact attempt and to give supervisors and project staff the ability to review the provider group contact history prior to subsequent contact attempts. DCSs were assigned a set of provider contact groups to establish rapport with contacts in each group. If any cooperation or staffing issues arose, cases were reassigned to refusal converters or another DCS. During initial contacts, DCSs performed several tasks:

Depending on the size and complexity of the provider practice, these tasks may have been completed in a single call or over several calls with different POCs.

Return to Table of Contents

3.1 Provider Recruitment and Data Collection Procedures

While the MPC includes data collection procedures common to all provider types, each provider type also has unique features and specific procedures DCSs are required to follow. The sections below describe the MPC data collection protocols and procedures for each provider type.

Return to Table of Contents

3.1.1 Hospitals

Data collection procedures were designed adapt to particular situations in provider facilities while maintaining consistency in the data collected. DCSs typically contacted three Hospital departments: medical records, patient accounts, and the administrative office. After the Hospital received a provider information packet, the DCS re-contacted the medical records department. Because of the length and complexity of Hospital records and because Hospital providers were often associated with multiple pairs, standard protocol requires sending records. This mode was also a preference so that records were available for quality assurance purposes. In a small percentage of cases (about 10.3% of medical records and 4% of patient accounts, see Table 3-1) was collected by telephone.

Four key pieces of information were obtained from the Hospital medical records:

Concurrent with the request for this information, the DCS also contacted the patient accounts department to collect the services provided, charges, and sources and amounts of payment for each event identified. Finally, after records abstraction was completed, a DCS contacted the Hospital’s administrative offices (AO) to obtain the billing status of each health professional identified in the medical records and contact information for confirmed SBDs.

Return to Table of Contents

3.1.2 Institutions

The procedures for Institutional care settings were similar to that for Hospital. The Institution sample consisted of long-term healthcare facilities, such as skilled nursing or rehabilitation facilities. Non-profit organizations are excluded.

Return to Table of Contents

3.1.3 Office Based Doctors (OBDs)

Compared with Hospital providers, the information required from OBD practices was often less complicated. In addition, OBDs were typically associated with fewer pairs than Hospital providers. For both reasons, OBD data collection was more amenable to telephone data collection and DCSs encouraged OBD providers to give information during the telephone contact when they had few patient records or only a few events to report. The Contact Guide was designed to factor in OBDs who use off-site billing services. DCSs were trained to collect information from off-site billing services during their contacts.

Return to Table of Contents

3.1.4 Home Health Providers

Data collection for Home Health providers followed the same basic protocol as the OBD sample. In certain cases, the DCSs contacted social service agencies or corporate offices in order to locate the necessary records. The Home Health Event Form was programmed to conform to Medicare Home Health Prospective Payment System. The system allowed the option of collecting payment data in 2-month or 1-month time frames as appropriate.

Return to Table of Contents

3.1.5 Pharmacy

For small retail Pharmacies unassociated with a chain, and for Pharmacies associated with small chains, the DCS contacted the Pharmacy to explain the study purpose and determine if patient profiles were available. If they were, the DCS verified the profile contained required data elements. If patient profiles were not available or if the profiles did not contain all required data, the DCS collected the information by telephone or requested supplemental reports from the pharmacist. Pharmacy data were received in any format including hardcopy patient profiles, electronic files with patient profile data, and/or collecting or supplementing the profiles by telephone data collection.

For large retail Pharmacy chains, individual pharmacies were grouped by chain using a unique code. Historical contact information from previous data collection years was reviewed for each chain to develop a contact approach. Specially trained negotiators followed up in one of two ways:

Return to Table of Contents

3.1.6 Separately Billing Doctors (SBDs)

Hospital, Institution, OBD, Home Health, and Pharmacy providers were all identified by household respondents during the HC. The balance of the MPC sample consisted of physicians (reported by Hospitals and Institutions) who provided services during a Hospital- or Institution-based event. These events often resulted in charges from providers who may or may not have direct patient contact (e.g., pathologists or radiologists) and whose fees may or may not have been included in the Hospital charge. These charges are a key part of Hospital event costs, and this information can only be obtained from the MPC.

For all doctor names abstracted from the medical record, DCSs contacted the Hospital medical records or professional staffing department to confirm the SBD status. Either working with medical records personnel by telephone or from records, the DCS recorded each provider who provided any services and whose charge might not have been included in the Hospital charge. The DCS then contacted the Hospital’s administrative office to verify the SBD billed separately. If there was any possibility of a separate charge, the DCS obtained complete contact information and created a link within the IDCS to connect the Hospital provider, patient, event type, event date, and SBD. This link is referred to as a node, that is, a unique combination of Hospital, patient, event type, event date, and SBD provider.

Similar to prior MPC cycles, fielded SBD nodes were based on a priority status where higher priorities were expected to yield nodes more likely to be eligible and to be associated with higher charges.  Physician’s role, specialty, and location of service were used to define SBD fielding priority. In 2018 and earlier, three priority levels (High, Medium, and Low) were used.  The priority categories were revised in 2019 and four levels (High, Medium, Low, and Extra Low) were assigned to the 2022 SBD nodes, as follows.

High priority was assigned when the physician’s role was Active Physician/Providing Direct Care, Don’t know, blank or missing, and the physician specialty and Hospital location of service was one of the following combinations: 

Medium priority was assigned when the physician’s role was Active Physician/Providing Direct Care, Don’t know, blank or missing and the physician specialty, location of service, and Hospital event CPT codes were one of the following combinations:

Low priority was assigned when the physician’s role was Active Physician/Providing Direct Care, Don’t know, blank or missing and the physician specialty, location of service, and Hospital event CPT codes were one of the following combinations

Low priority was also assigned for all other roles where the physician specialty was Surgery, Radiology, OB/GYN, or Anesthesiology.

Extra Low priority was assigned for all other roles and specialties (that is, the physician role was something other than Active Physician/Providing Direct Care, Don’t know, blank or missing and the physician specialty was Pathologist, Internal Medicine, Psychiatry, Pediatrics, General/Family Practice, or Other).

These criteria for assigning priority status were applied to the 2022 MPC. All High and Medium priority nodes and subsamples of the Low and Extra Low priority nodes were fielded. Low and Extra Low priority nodes were undersampled relative to the High and Medium priority nodes. The sample was constructed such that all nodes in a pair were fielded. Release of SBD pairs emphasized High priority nodes so that SBD providers and billing services would have ample time to respond. Five waves were used in the 2022 SBD cycle.

Prior to SBD sample release and data collection a computer algorithm was used to identify instances of overlapping OBD and SBD providers. The OBD and SBD provider identification numbers were required to be the same in order to be considered a match by the computer algorithm. Nodes identified as directly overlapping an OBD were excluded from subsequent subsampling and from SBD data collection. Four situations were considered.

  1. Direct node match—As in recent previous cycles, nodes were filled using the overlap pair with an S-code event (that is, an inpatient, ER, or outpatient event) on the same date at the node. The following situations were also used to automatically link OBD and SBD nodes: 
    1. Events where the OBD location of service is a physician‘s office and the SBD location is outpatient, dates of service are the same, and charges and payments are not the same;
    2. Events where the SBD location is an inpatient and the OBD date of service is within the range of the inpatient stay (excluding first and last day); and
    3. Events where the SBD location of service is either outpatient or inpatient, the CPT4 codes for the OBD are associated with Hospital events and are not used in ambulatory settings, and the date of service is either the same for an outpatient event or within the date range of the inpatient event, including the first and last day of the stay.

      In the 2022 cycle, 74 nodes were identified as a direct node match.
  2. Systematic coding of obvious disavowal nodes—For a large proportion of the nodes associated with an OBD pair with various types of specialty services with a date close to or the same as an OBD event, often the role of the SBD is Referring or copied doc. Some examples of this situation are an office visit with an OB/GYN followed closely by a mammogram; an office visit with an internist preceded by a blood panel; and an office visit with an orthopedist followed closely by an x-ray.

    The specifications used to identify the disavowal nodes were as follows:

    The node was automatically coded as a referring/copied doc when all three of these conditions were met.

    If all OBD events have location of service as physician office, all OBD events have CPT 4 codes that are part of the evaluation/management series, and the SBD role is anything other than department head/follow-up, the SBD was coded as a referring/copied doc.

    If all OBD events have location of service as physician office, all OBD events have CPT 4 codes that are part of the evaluation/management series, and the SBD role is specified as department head/follow-up-doc, then the SBD node was coded as department head/follow-up doc. In the 2022 cycle, 367 nodes were coded as disavowals.

  3. If the overlap pair was a refusal during OBD data collection, the SBD node was automatically coded as a refusal. In the 2022 cycle, 2 nodes were identified as refusals based on a match to a refusing OBD.
  4. Nodes were also reviewed to determine if any were abstracted in error. The logic for identifying these was when the OBD location of service is physician’s office, the SBD location is outpatient, the dates of services are the same, and the charges and payments are identical. In the 2022 cycle, no nodes were identified as abstracted in error.

Remaining nodes where the SBDs and OBDs were associated with different provider IDs but possibly overlapped were reviewed by senior project staff to determine whether to field the node or not and, if not fielded, the code to describe the node’s status. In the 2022 cycle, 709 nodes that were subsampled to be fielded were reviewed and, of these, 340 (48.0%) were not fielded and resolved as follows:

These procedures for identifying SBD-OBD overlap in the manual review were similar to those used for the automated review, except the manual review looked across the entire SBD contact group (instead of being restricted to OBD and SBD providers with the same provider identification number).  In addition to these rules, the SBD was coded as abstracted in error if the SBD should not have been recorded during the Hospital stay because the specialty (such as “nurse”) was included in the Hospital event charges. 

As a step in the preparation of the SBD sample, attempts are made to match all SBD providers to a National Provider Identifier (NPI) in order to assign an identification number. In many instances, the provider’s NPI was included in the records and was abstracted into the Event Form. If the NPI was not in the record, DCSs looked up the number in the NPI Registry. SBD providers that could not be associated with an NPI were assigned a unique identifier in the same format as the NPI. The NPI Registry includes both individual and organizational providers.

Return to Table of Contents

3.2 Data Abstraction

Once the provider acknowledged receipt of the AFs, the DCS either collected information over the telephone through electronic Event Forms specific to each provider type or made arrangements to receive medical records and patient account information, either by hardcopy or electronically.

Prior to the 2019 cycle (and the onset of the COVID-19 pandemic) when the abstractors worked on-site exclusively, hardcopy records were receipted, labeled, and assigned to abstractors. When the data collection staff transitioned to a remote work environment in the 2019 cycle, the abstraction work was performed using electronic PDF files of the records. Two new tools were also developed in the 2019 cycle to accommodate the abstraction of the electronic PDF records: one allowed abstractors to highlight the PDF files and another was an eANF used for entering abstraction notes. Records that arrived via hardcopy were scanned and converted to PDF format to allow for remote abstraction. Abstractors were able to access the PDF records and highlight and save the abstracted version for future review. Once all data elements were successfully highlighted, the abstractor could proceed with keying the data elements into the newly developed eANF. The data abstracted into the eANF were automatically loaded into the Blaise Event Forms for manual review and verification by the abstractor.  These same processes and procedures were used for the 2022 cycle.

Table 3.1 displays the proportion of participating Hospital, OBD, and SBD contact groups2 that elected to participate by sending in medical records and patient account information for abstraction. Reflecting the preference for collecting Hospital records for abstraction, in the 2022 cycle most Hospital contact groups, 91.6%, provided medical records for abstraction and 88.1% provided patient account records. In both OBD and SBD contact groups, protocols concerning collecting data by telephone were more flexible than in Hospitals. Close to half (47.1%) of OBD contact groups provided records and 21.9% of SBD contact groups provided records.

The distribution for the 2022 cycle reflects emphasis on Hospital records abstraction, and on telephone data collection for OBDs. Because Hospital records tend to be lengthy and because of the number of patients involved in the record requests, Hospitals generally prefer to participate in the MPC by sending records rather than providing data over the telephone. This is also beneficial from a data quality perspective because the Hospital protocol can result in a great deal of information and availability of records for review is helpful to assure comprehensive and accurate abstraction. In the 2022 cycle, the data collection team had to exhibit more flexibility with regard to completing eligible Hospital pairs by phone, given the constraints some POCs faced with availability of data and access to systems when working remotely.

Information obtained from OBD and SBD contact groups is more straightforward and more amenable to telephone data collection which can be less burdensome to providers as well as a more efficient mode for uncomplicated billing situations.

2 Note that these counts and percentages are based on participation at the contact group level, not individual providers. As noted in section 2, contact groups may consist of multiple providers as, for example, a group practice that employs a number of physicians or a healthcare system that may contain several Hospitals. Note as well that contact group is a different metric than the concept of "provider wave" reported in the MPC prior to 2009. In a provider wave, a provider is counted once for each wave of the sample in which it is represented. Table 3.1 reports the percentage of contact groups that provided medical and patient account records.

Return to Table of Contents

Table 3-1. Percent of Participating Contact Groups that Provided Records 2019-2022

2019
Provider Type Participating Contact Groups Groups Providing Records Percent
Hospital—Medical Records 2,296 2,092 91.1%
Hospital—Patient Accounts 2,296 1,920 83.6%
Office-Based Doctors 9,091 4,187 46.1%
Separately Billing Doctors 2,622 740 28.2%
2020
Provider Type Participating Contact Groups Groups Providing Records Percent
Hospital—Medical Records 2,779 2,512 90.4%
Hospital—Patient Accounts 2,779 2,241 80.6%
Office-Based Doctors 8,528 4,183 49.1%
Separately Billing Doctors 2,225 662 29.8%
2021
Provider Type Participating Contact Groups Groups Providing Records Percent
Hospital—Medical Records 2,766 2,398 86.7%
Hospital—Patient Accounts 2,766 2,459 88.9%
Office-Based Doctors 7,704 3,737 48.5%
Separately Billing Doctors 2,331 684 29.3%
2022
Provider Type Participating Contact Groups Groups Providing Records Percent
Hospital—Medical Records 2,493 2,283 91.6%
Hospital—Patient Accounts 2,493 2,196 88.1%
Office-Based Doctors 7,167 3,376 47.1%
Separately Billing Doctors 2,827 618 21.9%

Return to Table of Contents

3.3 Coding Text Fields Collected in the 2022 MPC

Standard coding systems supported the coding of free text for the following types of data:

Sources of payment (SOP) and SBD information were coded by RTI staff using coding schemes developed and used in previous MPC cycles; sources of payment data (RxSOP) for Pharmacy was coded by SSS staff. RTI also completed location of service and CCSR and CCSRMATCH coding as part of file preparations prior to matching. Coding of text descriptions for conditions (ICD-10), and procedures and supplies (BETOS) was completed by Health Care Resolution Service (HCRS), a firm in Laurel, MD, with extensive medical coding experience. SSS was responsible for coding prescribed drugs. More detailed discussions may be found in Deliverable OP2-24 2022 Cycle Data Collection Coding and Work Processes Plan and OP2-26 2022 Cycle MPC to HC Events Matching Plan.

Return to Table of Contents

3.4 Data Collection Schedule

Table 3-2 summarizes the 2019-2022 MPC data collection schedules. The MPC sample is provided from the HC in three waves and fielded as such. Since the 2013 MPC cycle, the SBD sample, developed during MPC data collection, has been fielded in four waves except for the 2021 cycle which was fielded in five waves.

Table 3-2. MPC Data Collection Schedule 2019-2021

2019
Provider Type Start of first MPC wave Start of last MPC Wave End of MPC data collection Number of Waves Total Weeks
Hospital 02/03/2020 07/30/2020 10/23/2020 3 38
Office-Based Doctors 02/03/2020 07/30/2020 10/16/2020 4 37
Institution 03/04/2020 08/04/2020 10/16/2020 3 33
Home Health Agencies 03/05/2020 08/04/2020 10/16/2020 3 33
Pharmacies 01/29/2020 07/24/2020 10/30/2020 3 39
SBDs 10/21/2020 12/18/2020 01/08/2021 3 12
2020
Provider Type Start of first MPC wave Start of last MPC Wave End of MPC data collection Number of Waves Total Weeks
Hospital 2/1/2021 8/3/2021 10/21/2021 3 38
Office-Based Doctors 2/5/2021 8/3/2021 10/21/2021 4 38
Institution 3/3/2021 8/3/2021 10/15/2021 3 33
Home Health Agencies 3/2/2021 8/3/2021 10/15/2021 3 33
Pharmacies 2/1/2021 7/27/2021 10/22/2021 3 38
SBDs 8/25/2021 12/2/2021 1/12/2022 3 20
2021
Provider Type Start of first MPC wave Start of last MPC Wave End of MPC data collection Number of Waves Total Weeks
Hospital 2/1/2022 7/28/2022 10/25/2022 3 38
Office-Based Doctors 2/1/2022 7/28/2022 10/14/2022 3 37
Institution 3/7/2022 8/2/2022 9/23/2022 3 29
Home Health Agencies 3/4/2022 8/2/2022 10/14/2022 3 32
Pharmacies 2/1/2022 7/27/2022 10/21/2022 3 38
SBDs 8/17/2022 12/5/2022 1/10/2023 5 21
2022
Provider Type Start of first MPC wave Start of last MPC Wave End of MPC data collection Number of Waves Total Weeks
Hospital 1/30/2023 7/26/2023 10/13/2023 3 37
Office-Based Doctors 1/30/2023 7/26/2023 10/13/2023 3 37
Institution 3/7/2023 8/12/2023 10/13/2023 3 31
Home Health Agencies 3/2/2023 8/1/2023 10/13/2023 3 32
Pharmacies 1/30/2023 7/25/2023 10/20/2023 3 38
SBDs 8/16/2023 11/28/2023 1/10/2024 4 21

Following data collection, additional editing of the files preceded file preparation and matching tasks. These steps have been implemented to assure data quality and consistency in the data across survey years.

Return to Table of Contents

3.5 Data Collection Results

3.5.1 Completion Rates

The MPC applies the following criteria to assess or determine whether an event is complete or partially complete (see Appendix C for a full discussion of critical items). The final event level codes determine the final pair disposition.

Criteria for Non-Pharmacy Providers. In order for a pair to be considered partially complete, at least one event in that pair had to have a valid response for all critical items, that is, no critical item in that event could contain a don’t know, refusal, or missing response entry. If one critical item in the event had a don’t know, refusal, or missing entry, the event was assigned a new disposition code “final critical item missing.” If all the events in a pair had this new disposition, the pair was considered a partial complete and became eligible for matching. As pairs roll up to the provider level, some providers that would have a final disposition of non-response under the former criteria would have a final disposition of partial complete under the revised criteria.

Criteria for Pharmacy Providers. As with other providers, for a pair to be considered partially completed, it must have included an event where critical items contained valid data. Three additional categories took account of response to three data elements: Patient Amount, Third Party Payment Source, and Third Party Payment Amount.

The 2022 MPC cycle target pair-level completion rates were the same as the 2021 goals, with pair target completion rates of 88% for Hospital, 80% for OBD, Home Health, and Institution, and 85% for Pharmacy providers. The target SBD completion rate goal was 60% of fielded SBD nodes, which was estimated at baseline to be 12,000 completed nodes. Table 3-3 displays the provider-level results and Table 3-4 the pair-level results for the 2019 through 2022 MPC cycles. The pair-level completion rates increased for all provider types.

The final pair completion rates are shown in Table 3-4. Deliverable OP2-17 MPC Evaluation of 2022 Cycle Non-SBD and SBD Data Collection Plan addresses key factors that likely contributed to the actual 2022 cycle completion rates.

Return to Table of Contents

Table 3-3. Provider-Level Completion Rates, MPC 2019-2022

Provider Initial sample after subsampling Final eligible sample Completion rate Refusal rate Other nonresponse rate1
2019
Hospitals 6,948 6,595
0.584
0.009
0.407
Office-based providers 17,537 16,000 0.658 0.004 0.339
HMOs 341 308 0.711 0.000 0.289
Home care providers 891 815 0.804 0.000 0.196
Institutions 142 131 0.824 0.000 0.176
SBDs 16,602 12,162 0.474 0.002 0.524
Pharmacies 8,969 7,998 0.810 0.007 0.184
Total 51,430 44,009      
2020
Hospitals 6,291 5,575 0.791 0.009 0.200
Office-based providers 16,765 14,880 0.691 0.006 0.303
HMOs 326 292 0.911 0.000 0.089
Home care providers 819 763 0.743 0.000 0.257
Institutions 115 107 0.822 0.000 0.178
SBDs 17,497 12,495 0.466 0.001 0.532
Pharmacies 8,465 7,446 0.832 0.024 0.144
Total 50,278 41,558      
2021
Hospitals 8,630 7,918 0.613 0.026 0.361
Office-based providers 16,911 14,950 0.642 0.033 0.325
HMOs 418 384 0.516 0.000 0.484
Home care providers 979 886 0.719 0.021 0.260
Institutions 120 118 0.847 0.000 0.153
SBDs 17,162 12,690 0.491 0.046 0.462
Pharmacies 10,538 9,079 0.826 0.020 0.157
Total 54,758 46,025      
2022
Hospitals 6,900 6,080 0.702 0.027 0.272
Office-based providers 16,772 14,486 0.637 0.047 0.316
HMOs 393 339 0.602 0.000 0.398
Home care providers 814 752 0.786 0.015 0.199
Institutions 109 102 0.892 0.020 0.088
SBDs 14,555 9,524 0.638 0.020 0.341
Pharmacies 8,610 7,400 0.869 0.018 0.113
Total 48,153 38,683      

1 "Other nonresponse" includes unlocatable, type 1 disavowal, and other nonresponse.

Return to Table of Contents

Table 3-4. Pair-level Completion Rates, MPC 2019-2022

Patient-provider pair Initial sample after subsampling Final eligible sample Completion rate Refusal rate Other nonresponse rate1
2019
Hospitals 11,473
10,665
0.572
0.032
0.396
Office-based providers 21,458 19,527 0.653 0.024 0.323
HMOs 565 484 0.702 0.000 0.298
Home care providers 959 880 0.802 0.026 0.172
Institutions 144 133 0.820 0.053 0.128
SBDs 19,283 14,091 0.473 0.046 0.481
Pharmacies 18,263 15,917 0.771 0.062 0.167
Total 72,145 61,697      
2020
Hospitals 10,105 8,776 0.775 0.031  0.194
Office-based providers 20,355 17,983 0.686 0.050 0.264
HMOs 596 465 0.892 0.000 0.108
Home care providers 876 816  0.749  0.032 0.219
Institutions 117 109  0.817 0.092 0.092
SBDs 20,299 14,379  0.479 0.008 0.513
Pharmacies 16,858 14,607  0.816  0.068  0.116
Total 69,206 57,135      
2021
Hospitals 13,112 11,960 0.600 0.026  0.374
Office-based providers 19,810 17,470 0.640 0.037 0.324
HMOs 742 652 0.463 0.000 0.537
Home care providers 1,069 965  0.730  0.042 0.228
Institutions 121 119  0.849 0.025 0.126
SBDs 20,158 14,760  0.495 0.053 0.451
Pharmacies 21,106 17,698  0.812  0.112  0.076
Total 76,118 63,624      
2022
Hospitals 10,134 8,869 0.700 0.046 0.254
Office-based providers 19,819 17,088 0.642 0.051 0.306
HMOs 681 538 0.578 0.022 0.400
Home care providers 859 794  0.773  0.050 0.176
Institutions 109 102  0.892 0.029 0.078
SBDs 16,723 10,953  0.634 0.033 0.332
Pharmacies 16,566 13,940  0.842  0.097  0.060
Total 64,891 52,284      

1 "Other nonresponse" includes unlocatable, type 1 disavowal, and other nonresponse.

Table 3-5 presents SBD node-level results. A total of 22,486 nodes were released for data collection in the 2022 cycle. Of these, 38.6% were confirmed as ineligible nodes (that is, no charges were recorded for that provider). Of the remaining 13,878 nodes (61.4% of the total), additional information was obtained for 7,789 nodes for a completion rate of 56.1%. Among eligible High priority nodes, the completion rate was 60.6% (n =1,911); among Medium priority nodes, the completion rate was 62.3% (n =5,480); among Low priority nodes, 34.4% (n=332); and among the Extra Low priority nodes, 29.1% (n=66).

Return to Table of Contents

Table 3-5. SBD Node-Level Completion Rate, MPC 2019 - 2022

  2019 2020 2021 2022
Total nodes released 25,793 27,420 27,827 22,486
Ineligible nodes 8,452 9,267 8,295 8,719
Eligible nodes 17,341 18,153 19,532 13,878
Completed nodes 7,544 7,782 8,224 7,789
Nonresponse7 9,797 10,371 11,308 5,978
Eligibility rate 69.20% 68.01% 70.31% 61.42%
Completion rate 39.73% 39.49% 41.86% 56.12%

7 In the reports for previous cycles, nodes with a pending disposition at the close of data collection (empty nodes) were reported separately. In this table, nodes with final dispositions of “pending” and “refusal” are combined into the “Nonresponse” row.

Veterans Administration Pairs

Beginning with the 2020 cycle, RTI generated Excel files containing pairs with Veteran Administration (VA) providers for each wave and transmitted those files to AHRQ. Those files were then used by the Health Economics Research Center (HERC) to extract the MPC data for the pairs from the VA files. VA providers that are either state administered or CHAMPVA are excluded from the files.

For the 2022 cycle, there were 396 unique Non-Pharmacy VA pairs and 325 Pharmacy VA pairs. Data was extracted by HERC for 366 Non-Pharmacy pairs and 312 Pharmacy pairs, resulting in a Non-Pharmacy completion rate of 97.9% and 96.3% for Pharmacy.

Return to Table of Contents

3.5.2 Refusal Conversion

Table 3-6 provides additional information about refusal conversion for the 2019-2022 MPC cycles. The analytic unit in this table is contact group, an operational unit which may consist of several providers who share facilities for medicals records and billing (e.g., a medical group practice with several physicians or a healthcare system with several hospitals). The final column in this table displays the percent of initial refusals that were converted to a participating or partially participating contact group (i.e., provided all or some of the requested information). The 2022 MPC cycle refusal conversion rates by provider type were: 39.8% for Hospital, 19.4 for OBD, 23.8% for Pharmacy, 22.6% for Home Health, and 18.5% for SBD.

Return to Table of Contents

Table 3-6. Refusal Conversion Outcomes: Final Disposition of Contact Groups Initially Coded as Refusal, MPC 2019-2022

Contact Group Provider Type Initial Sample1 Ever coded Refusal Ineligible Final Refusal Other Nonresponse Complete
  N N Pct of Initial Sample Pct of Ever Coded Refusal N Pct of Ever Coded Refusal N Pct of Ever Coded Refusal N Pct of Ever Coded Refusal N Pct of Ever Coded Refusal
2019
Hospital 3,951 300 7.6% 100.0% 6 2.0% 28 9.3% 162 54.0% 104 34.7%
Office-based 14,369 1028 7.2% 100.0% 31 3.0% 3 0.3% 682 66.3% 312 30.4%
Pharmacy 2,039 104 5.1% 100.0% 2 1.9% 31 29.8% 64 61.5% 7 6.7%
Home Health 871 28 3.2% 100.0% 0 0.0% 0 0.0% 18 64.3% 10 35.7%
SBDs 7,760 546 7.0% 100.0% 48 8.8% 2 0.4% 407 74.5% 89 16.3%
2020
Hospital 3,588 410 11.4% 100.0% 25 6.1% 10 2.4% 150 36.6% 225 54.9%
Office-based 12,955 969 7.5% 100.0% 17 1.8% 28 2.9% 677 69.9% 247 25.5%
Pharmacy 1,958 102 5.2% 100.0% 3 2.9% 73 71.6% 13 12.7% 13 12.7%
Home Health 792 31 3.9% 100.0% 6 19.4% 0 0.0% 24 77.4% 1 3.2%
SBDs 7,112 391 5.5% 100.0% 23 5.9% 3 0.8% 268 68.5% 97 24.8%
2021
Hospital 4,695 337 7.2% 100.0% 6 1.8% 124 36.8% 88 26.1% 119 35.3%
Office-based 12,844 872 6.8% 100.0% 19 2.2% 386 44.3% 127 14.6% 340 39.0%
Pharmacy 2,407 1.8% 11.4% 100.0% 8 2.9% 95 34.5% 132 48.0% 40 14.5%
Home Health 792 39 4.9% 100.0% 2 5.1% 17 43.6% 20 51.3% 0 0.0%
SBDs 7,128 342 4.8% 100.0% 14 4.1% 208 60.8% 81 23.7% 39 11.4%
2022
Hospital 3,563 352 9.9% 100.0% 10 2.8% 120 34.1% 82 23.3% 140 39.8%
Office-based 12,240 726 5.9% 100.0% 10 1.4% 508 70.0% 67 9.2% 141 19.4%
Pharmacy 1908 227 11.9% 100.0% 12 5.3% 49 21.6% 112 49.3% 54 23.8%
Home Health 762 53 7.0% 100.0% 3 5.7% 11 20.8% 26 49.1% 12 22.6%
SBDs 7,373 523 7.1% 100.0% 27 5.2% 54 10.3% 338 64.6% 97 18.5%

1 Note counts in this table are of contact groups, not individual providers.

Return to Table of Contents

3.5.3 Components of MPC Data Collection

Figures 3-1 through 3-4 display historical MPC data collection information at the provider level for Hospitals, OBDs, SBDs, and Pharmacies (corporate and non-corporate).  Each graph displays:

For Hospitals, (Figure 3-1), the sample size decreased from the previous year, the provider completion rate and ineligibility rate increased, and the provider refusal rate stayed about the same.

For Office-Based Doctors (Figure 3-2), the sample size and provider completion rate decreased slightly from the previous year and the provider ineligibility rate and provider refusal rate increased slightly.

For Separately-Billing Doctors (Figure 3-3), the sample size of eligible providers and provider refusal rate decreased and the provider completion rate and ineligibility rate were higher.

For Pharmacies (Figure 3-4), the sample size decreased, the provider completion rate increased, and the provider ineligibility and refusal rates stayed about the same.

Return to Table of Contents

Figure 3-1. Hospital providers: Response factors over time

Image displaying response factors over time, from 1996 through 2022 for Hospital providers

Year 1996 1997 1998 1999 2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010
Sample Rel to 2002 0.526 0.658 0.513 0.519 0.548 0.822 1.000 0.882 0.897 0.885 0.867 0.842 0.755 1.018 0.802
Ineligibility Rate 0.023 -0.024 0.064 0.068 0.078 0.074 0.067 0.074 0.069 0.076 0.068 0.067 0.068 0.129 0.088
Completion Rate 0.951 0.894 0.939 0.926 0.910 0.912 0.900 0.898 0.920 0.931 0.941 0.944 0.946 0.890 0.846
Final Refusal Rate 0.021 0.058 0.025 0.036 0.037 0.038 0.048 0.047 0.027 0.026 0.022 0.023 0.022 0.012 0.034

Year 2011 2012 2013 2014 2015 2016 2017 2018 2019 2020 2021 2022
Sample Rel to 2002 0.859 0.932 0.915 0.954 1.000 0.975 1.035
1.157 1.043
0.881 1.252 0.961
Ineligibility Rate 0.099 0.050 0.054 0.064 0.059 0.066 0.068 0.081 0.051 0.114 0.083 0.119
Completion Rate 0.900 0.870 0.877 0.848 0.811 0.861 0.878 0.881 0.584 0.791 0.613 0.702
Final Refusal Rate 0.016 0.015 0.036 0.001 0.053 0.024 0.006 0.005 0.009 0.009 0.026 0.027

Return to Table of Contents

Figure 3-2. Office-Based providers: Response factors over time

Image displaying response factors over time, from 1996 through 2022 for office based providers

Year 1996 1997 1998 1999 2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010
Sample Rel to 2002 0.568 0.516 0.539 0.592 0.818 1.324 1.000 1.011 1.324 1.238 0.884 0.988 0.698 0.670 0.765
Ineligibility Rate 0.256 0.271 0.125 0.122 0.138 0.125 0.103 0.101 0.106 0.107 0.105 0.117 0.114 0.106 0.118
Completion Rate 0.881 0.871 0.861 0.888 0.864 0.850 0.837 0.835 0.864 0.859 0.869 0.875 0.891 0.801 0.806
Final Refusal Rate 0.069 0.053 0.043 0.053 0.071 0.069 0.097 0.095 0.076 0.086 0.074 0.077 0.067 0.003 0.062

Year 2011 2012 2013 2014 2015 2016 2017 2018 2019 2020 2021 2022
Sample Rel to 2002 0.745 1.030 0.970 1.165 0.876 0.945 1.106
1.002 1.172
1.090 1.095 1.061
Ineligibility Rate 0.117 0.110 0.110 0.112 0.084 0.082 0.103 0.115 0.088 0.112 0.116 0.136
Completion Rate 0.889 0.876 0.890 0.865 0.849 0.869 0.824 0.820 0.658 0.691 0.642 0.637
Final Refusal Rate 0.023 0.028 0.036 0.001 0.039 0.020 0.007 0.003 0.004 0.006 0.033 0.047

Return to Table of Contents

Figure 3-3. SBD providers: Response factors over time

Image displaying response factors over time, from 1996 through 2022 for SBD providers

Year 1996 1997 1998 1999 2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010
Sample Rel to 2002 0.623 0.379 0.551 0.521 0.503 0.922 1.000 0.870 0.946 0.928 0.931 0.888 0.813 1.422 1.493
Ineligibility Rate 0.300 0.659 0.280 0.318 0.370 0.376 0.346 0.347 0.342 0.345 0.384 0.361 0.410 0.179 0.200
Completion Rate 0.949 0.885 0.862 0.842 0.840 0.795 0.773 0.828 0.840 0.846 0.823 0.874 0.860 0.683 0.565
Final Refusal Rate 0.042 0.104 0.063 0.061 0.065 0.094 0.121 0.104 0.076 0.075 0.111 0.072 0.097 0.081 0.101

Year 2011 2012 2013 2014 2015 2016 2017 2018 2019 2020 2021 2022
Sample Rel to 2002 1.518 1.437 1.572 1.562 1.416 1.615 0.917 0.846 0.870
0.894 0.908 0.681
Ineligibility Rate 0.298 0.376 0.365 0.340 0.407 0.348 0.387 0.409 0.267 0.286 0.261 0.346
Completion Rate 0.443 0.598 0.578 0.539 0.591 0.549 0.670 0.682 0.474 0.466 0.491 0.638
Final Refusal Rate 0.000 0.000 0.008 0.001 0.000 0.036 0.000 0.001 0.002 0.001 0.046 0.020

Return to Table of Contents

Figure 3-4. Pharmacy providers: Response factors over time

Image displaying response factors over time, from 1996 through 2022 for pharmacy providers

Year 1996 1997 1998 1999 2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010
Sample Rel to 2002 0.574 0.791 0.558 0.546 0.556 0.878 1.000 0.874 0.827 0.817 0.808 0.837 0.758 0.858 0.768
Ineligibility Rate 0.129 0.145 0.099 0.113 0.106 0.107 0.091 0.088 0.110 0.099 0.116 0.100 0.099 0.110 0.106
Completion Rate 0.722 0.700 0.838 0.822 0.820 0.761 0.790 0.729 0.794 0.787 0.799 0.797 0.756 0.689 0.610
Final Refusal Rate 0.061 0.068 0.084 0.079 0.078 0.113 0.122 0.200 0.159 0.167 0.149 0.165 0.271 0.050 0.015

Year 2011 2012 2013 2014 2015 2016 2017 2018 2019 2020 2021 2022
Sample Rel to 2002 0.801 0.914 0.913 0.872 0.885 0.943 1.006 1.212 0.863 0.803 0.980 0.798
Ineligibility Rate 0.110 0.106 0.103 0.233 0.085 0.083 0.088 0.097 0.115 0.120 0.138 0.141
Completion Rate 0.749 0.805 0.846 0.852 0.881 0.906 0.872 0.896 0.810 0.832 0.826 0.869
Final Refusal Rate 0.015 0.016 0.013 0.011 0.003 0.001 0.000 0.013 0.007 0.024 0.020 0.018

Return to Table of Contents

3.5.4 Timing

Table 3-7 presents the hours per completed pair (or node) by provider type for the 2019-2022 MPC cycles.  These timings include telephone and record abstraction as well as recruiting efforts.

Table 3-7. Hours per Completed Pair/Node, 2019-2022 MPC

  Provider Type
Year Hospital Office-Based Doctor Home Health Institution Pharmacy Separately Billing Doctor (nodes)
2019 9.1 5.2 3.5 3.5 0.8 3.1
2020 8.7 4.5 2.5 2.3 0.95 2.5
2021 7.5 4.7 3.1 2.4 0.85 2.4
2022 9.0 3.5 3.0 2.3 0.81 2.9

Return to Table of Contents

Appendix A: Acronyms and Definitions

AF: Authorization Form
AHRQ: Agency for Healthcare Research and Quality
BETOS: Berenson-Eggers Type of Service Codes
CMS: Case Management System
Contact Guide: Forms used to collect and manage information about contacts at provider facilities
CS: Control System
CPT: Current Procedural Terminiology Codes
DCS: Data Collection Specialist
ESN: Enhanced Security Network, developed by RTI to meet requirements of NIST Moderate Security
Event Forms: Forms used to record information about medical events identified in the HC
GPI: General Product Identifier
HC: Household Component of the MEPS
HIPAA: Health Insurance Portability and Accountability Act
ICD: International Classification of Diseases
IDCS: Integrated Data Collection System
MEPS: Medical Expenditure Panel Survey
MEPS-HC (HC): Household Component of the MEPS
MEPS-MPC (MPC): Medical Provider Component of the MEPS
NPI: National Provider Identifier
OBD: Office-Based Doctor
PHI: Protected Health Information
PII: Personally Identifiable Information
POC: Point of Contact in the provider facility
RU: Reporting Unit
SOP: Source of Payment
SBD: Separately-Billing Doctor

Return to Table of Contents

Appendix B: MPC Data Collection Summary Tables

Table B-1. MPC Sample Sizes, Provider Level, 1996-2022

  1996 1997 1998 1999 2000 2001 2002 2003 2004 2005
Hospital
Initial Sample 3,301 6,045 4,844 3,520 3,760 6,801 8,811 7,806 7,567 7,461
Sample after subsampling n/a 4,065 3,468 n/a 3,760 5,616 6,780 6,023 6,094 6,059
Final in-scope sample 3,330 4,163 3,247 3,284 3,467 5,201 6,325 5,580 5,671 5,600
HMO
Initial Sample 296 396 228 247 118 476 559 607 420 422
Sample after subsampling n/a 350 171 n/a 118 334 290 280 300 301
Final in-scope sample 628 467 155 225 113 287 256 218 250 241
Institution
Initial Sample 59 81 63 52 63 83 114 81 92 121
Sample after subsampling n/a 80 69 n/a 63 82 110 81 92 116
Final in-scope sample 50 75 65 45 60 76 103 73 89 108
Home Health
Initial Sample 415 674 456 393 319 520 631 588 568 606
Sample after subsampling n/a 653 420 n/a 319 509 611 586 556 593
Final in-scope sample 375 579 384 293 281 436 537 527 509 539
Office-based physician
Initial Sample 10,118 14,646 10,483 9,202 12,962 26,344 32,889 28,946 27,617 26,972
Sample after subsampling n/a 9,663 8,403   12,962 20,651 15,222 15,361 20,212 18,933
Final in-scope sample 7,758 7,047 7,356 8,076 11,167 18,078 13,652 13,808 18,069 16,898
SBD
Initial Sample 10,323 14,730 10,711 10,680 11,144 20,644 21,385 18,613 20,094 19,810
Sample after subsampling n/a 7,365 10,711 n/a 11,144 20,644 21,385 18,613 20,094 19,810
Final in-scope sample 8,705 5,297 7,704 7,288 7,026 12,891 13,976 12,154 13,225 12,971
Pharmacy
Initial Sample 6,109 8,547 5,734 5,703 5,762 9,118 10,200 8,882 8,608 8,404
Sample after subsampling n/a 8,547 5,734 n/a 5,762 9,118 10,200 8,882 8,608 8,404
Final in-scope sample 5,321 7,335 5,168 5,058 5,152 8,141 9,268 8,101 7,663 7,568

Return to Table of Contents

Table B-1. MPC Sample Sizes, Provider Level, 1996-2022 (continued)

  2006 2007 2008 2009 2010 2011 2012 2013 2014 2015
Hospital
Initial Sample 7,447 7,110 6,470 n/a n/a n/a n/a n/a n/a n/a
Sample after subsampling 5,884 5,708 5,126 7,391 5,564 6,034 6,207 6,119 6,442 6,719
Final in-scope sample 5,484 5,328 4,776 6,436 5,072 5,435 5,896 5,788 6,031 6,323
HMO
Initial Sample 333 501 517 n/a n/a n/a n/a n/a n/a n/a
Sample after subsampling 284 316 243 249 378 327 412 336 410 358
Final in-scope sample 238 247 198 249 309 275 380 300 366 343
Institution
Initial Sample 80 76 81 n/a n/a n/a n/a n/a n/a n/a
Sample after subsampling 80 75 77 105 106 93 157 136 143 140
Final in-scope sample 78 72 72 101 92 88 151 128 132 129
Home Health
Initial Sample 655 534 505 n/a n/a n/a n/a n/a n/a n/a
Sample after subsampling 648 516 498 664 511 568 655 760 794 890
Final in-scope sample 602 464 446 603 454 487 573 646 677 728
Office-based physician
Initial Sample 27,620 25,052 25,537 n/a n/a n/a n/a n/a n/a n/a
Sample after subsampling 13,473 15,273 10,762 10,234 11,841 11,522 15,797 14,608 17,906 13,056
Final in-scope sample 12,062 13,492 9,533 9,148 10,441 10,169 14,065 13,236 15,904 11,957
SBD
Initial Sample 21,126 19,435 19,262 24,208 26,093 30,235 42,756 34,590 33,092 33,351
Sample after subsampling 21,126 19,435 19,262 24,208 26,093 30,235 29,168 34,590 33,092 33,351
Final in-scope sample 13,013 12,410 11,364 19,874 20,868 21,222 20,080 21,968 21,829 19,786
Pharmacy
Initial Sample 8,471 8,619 7,799 n/a n/a n/a n/a n/a n/a n/a
Sample after subsampling 8,471 8,619 7,799 8,935 7,960 8,270 9,250 9,246 8,812 9,001
Final in-scope sample 7,489 7,760 7,026 7,949 7,118 7,420 8,472 8,463 8,085 8,206

Return to Table of Contents

Table B-1. MPC Sample Sizes, Provider Level, 2016-2022 (continued)

  2016 2017 2018 2019 2020 2021 2022
Hospital
Initial Sample n/a n/a n/a n/a n/a n/a
Sample after subsampling 6,609 7,026 7,970 6,948 6,291 8,630 6,900
Final in-scope sample 6,170 6,551 7,321 6,595 5,575 7,918 6,080
HMO
Initial Sample n/a n/a n/a n/a n/a n/a n/a
Sample after subsampling 375 369 331 341 326 418 393
Final in-scope sample 323 323 299 308 292 384 339
Institution
Initial Sample n/a n/a n/a n/a n/a n/a n/a
Sample after subsampling 131 168 184 142 115 120 109
Final in-scope sample 128 161 166 131 107 118 102
Home Health
Initial Sample n/a n/a n/a n/a n/a n/a n/a
Sample after subsampling 908 858 952 891 819 979 814
Final in-scope sample 763 713 838 815 763 886 752
Office-based physician
Initial Sample n/a n/a n/a n/a n/a n/a n/a
Sample after subsampling 14,055 16,839 15,449 17,537 16,765 16,911 16,772
Final in-scope sample 12,903 15,105 13,677 16,000 14,880 14,950 14,486
SBD
Initial Sample n/a n/a n/a n/a n/a n/a n/a
Sample after subsampling 34,627 20,936 20,002 16,602 17,497 17,162 14,555
Final in-scope sample 22,573 12,825 11,827 12,162 12,495 12,690 9,524
Pharmacy
Initial Sample n/a n/a n/a n/a n/a n/a n/a
Sample after subsampling 8,457 10,531 12,763 8,969 8,465 10,538 8,610
Final in-scope sample 7,637 9,324 11,234 7,998 7,446 9,079 7,400

Return to Table of Contents

Table B-2. MPC Sample Sizes, Pair Level, 1996-2022

  1996 1997 1998 1999 2000 2001 2002 2003 2004 2005
Hospital
Initial Sample 6,729 11,694 7,922 6,712 7,849 11,798 16,481 13,876 13,175 12,933
Sample after subsampling n/a 8,192 6,434 n/a 7,849 11,377 14,477 13,094 12,772 12,601
Final in-scope sample 6,570 7,938 5,825 6,163 7,016 10,155 12,805 11,532 11,589 11,279
HMO
Initial Sample 534 809 436 555 382 965 1,134 939 791 804
Sample after subsampling n/a n/a n/a n/a 382 791 567 625 665 685
Final in-scope sample 924 911 346 472 324 637 477 466 514 514
Institution
Initial Sample 63 85 64 53 66 86 116 86 94 123
Sample after subsampling n/a 85 70 n/a 66 86 115 85 94 123
Final in-scope sample 53 80 70 45 63 79 107 77 90 113
Homecare
Initial Sample 461 750 520 394 367 607 713 652 610 689
Sample after subsampling n/a 750 491 n/a 367 601 682 641 610 689
Final in-scope sample 385 662 445 340 317 471 606 579 555 619
Office-based physician
Initial Sample 13,681 19,157 12,641 11,974 17,407 33,518 42,327 36,804 34,611 33,854
Sample after subsampling n/a 12,635 10,747 n/a 17,407 26,886 19,309 19,731 26,392 24,517
Final in-scope sample 10,251 9,632 9,334 10,409 14,935 23,376 17,198 17,692 23,446 21,821
SBD
Initial Sample 12,488 17,394 13,658 14,906 15,955 28,905 30,780 26,965 29,271 28,930
Sample after subsampling n/a 8,697 13,658 n/a 15,955 28,930 30,780 26,965 29,271 28,930
Final in-scope sample 9,187 6,301 9,691 10,100 9,893 17,529 19,977 17,566 18,694 18,720
Pharmacy
Initial Sample 14,531 20,248 12,321 13,183 14,847 22,165 26,046 22,438 21,720 21,077
Sample after subsampling n/a n/a n/a n/a 14,847 22,165 26,046 22,438 21,720 21,077
Final in-scope sample 12,146 16,241 10,386 11,317 12,728 19,256 23,057 19,649 18,571 18,159

Return to Table of Contents

Table B-2. MPC Sample Sizes, Pair Level, 1996-2022 (continued)

  2006 2007 2008 2009 2010 2011 2012 2013 2014 2015
Hospital
Initial Sample 13,071 11,220 11,374              
Sample after subsampling 11,911 10,646 10,672 14,199 9,960 10,404 11,361 11,017 10,909 11,225
Final in-scope sample 10,830 9,611 9,600 12,262 8,664 8,978 10,534 10,314 10,048 10,412
HMO
Initial Sample 694 852 968              
Sample after subsampling 594 621 572 601 624 595 764 610 794 833
Final in-scope sample 476 459 449 601 478 458 702 541 667 752
Institution
Initial Sample 80 78 81              
Sample after subsampling 80 78 80 113 108 95 159 140 148 147
Final in-scope sample 78 75 75 109 92 90 152 132 136 134
Home Health
Initial Sample 719 574 566              
Sample after subsampling 719 572 564 728 512 609 712 820 842 957
Final in-scope sample 661 513 502 656 454 505 615 694 710 773
Office-based physician
Initial Sample 37,576 30,812 32,546              
Sample after subsampling 17,139 19,201 16,713 13,386 14,256 14,583 19,945 16,921 21,280 16,727
Final in-scope sample 15,274 16,713 12,281 11,954 12,378 12,663 17,639 15,279 18,879 15,338
SBD
Initial Sample 31,058 26,407 27,496 27,480 30,584 38,873 49,782 43,568 41,670  
Sample after subsampling 31,058 26,407 27,496 27,480 30,584 38,873 35,182 43,568 41,670 41,981
Final in-scope sample 18,699 16,660 16,144 22,417 23,958 26,802 23,406 27,346 27,064 24,610
Pharmacy
Initial Sample 20,990 19,052 19,678 22,587 18,761 19,807 22,731      
Sample after subsampling 20,990 19,052 19,678 22,587 18,761 19,807 22,731 22,192 20,405 20,826
Final in-scope sample 17,418 16,313 17,038 19,683 16,261 17,414 20,510 20,028 18,424 18,415

Return to Table of Contents

Table B-2. MPC Sample Sizes, Pair Level, 1996-2022 (continued)

  2016 2017 2018 2019 2020 2021 2022
Hospital
Initial Sample n/a n/a n/a n/a
n/a n/a n/a
Sample after subsampling 11,088 11,059 12,979 11,473 10,105 13,112 10,134
Final in-scope sample 10,162 10,171 11,689 10,665 8,776 11,960 8,869
HMO
Initial Sample n/a n/a n/a n/a n/a n/a n/a
Sample after subsampling 905 704 576 565 596 742 681
Final in-scope sample 790 577 490 484 465 652 538
Institution
Initial Sample n/a n/a n/a n/a n/a n/a n/a
Sample after subsampling 134 173 191 144 117 121 109
Final in-scope sample 131 166 169 133 109 119 102
Home Health
Initial Sample n/a n/a n/a n/a n/a n/a n/a
Sample after subsampling 984 920 1,032 959 876 1,069 859
Final in-scope sample 817 768 906 880 816 965 794
Office-based physician
Initial Sample n/a n/a n/a n/a n/a n/a n/a
Sample after subsampling 18,445 19,382 18,256 21,458 20,355 19,810 19,819
Final in-scope sample 16,927 17,370 16,166 19,527 17,983 17,470 17,088
SBD
Initial Sample n/a n/a n/a n/a n/a n/a n/a
Sample after subsampling 42,951 23,603 22,775 91,283 20,299 20,158 16,723
Final in-scope sample 27,490 14,437 13,313 14,091 14,379 14,760 10,953
Pharmacy
Initial Sample n/a n/a n/a   n/a n/a n/a
Sample after subsampling 20,218 19,262 20,872 18,263 16,858 21,106 16,566
Final in-scope sample 17,366 16,735 17,744 15,917 14,607 17,698 13,940

Table B-3. MPC Data Collection Results, Provider Level, 1996-2022

  Initial Sample Sub-sample Eligible Sample Completion Rate Refusal Rate Other Nonresponse Rate
1996 Providers
Hospitals 3,301 3,301 3,224 0.951 0.021 0.028
Office-based providers 10,118 10,118 7,530 0.881 0.069 0.051
HMOs 296 296 601 0.805 0.085 0.110
Home care providers 415 415 353 0.875 0.062 0.062
Institutions 59 59 50 0.960 0.040 -
SBDs 10,323 10,323 7,223 0.949 0.042 0.009
Pharmacies 6,109 6,109 5,321 0.722 0.061 0.217
Total 30,621 30,621 24,302      
1997 Providers
Hospitals 4,768 4,065 4,163 0.894 0.058 0.048
Office-based providers 10,095 9,666 7,047 0.871 0.053 0.069
HMOs 350 350 467 0.717 0.090 0.193
Home care providers 653 653 579 0.834 0.090 0.076
Institutions 80 80 75 0.827 0.107 0.067
SBDs 14,730 14,730 5,026 0.885 0.104 0.012
Pharmacies 8,574 8,574 7,335 0.700 0.068 0.232
Total 39,250 38,118 24,692      
1998 Providers
Hospitals 3,468 3,468 3,247 0.939 0.025 0.037
Office-based providers 10,483 8,403 7,356 0.861 0.043 0.096
HMOs 228 171 155 0.871 0.103 0.026
Home care providers 456 420 384 0.820 0.089 0.091
Institutions 63 69 65 0.754 0.169 0.077
SBDs 10,711 10,711 7,707 0.862 0.063 0.075
Pharmacies 5,734 5,734 5,167 0.838 0.084 0.079
Total 31,143 28,976 24,081      
1999 Providers
Hospitals 3,520 3,520 3,282 0.926 0.036 0.037
Office-based providers 9,202 9,202 8,075 0.888 0.053 0.058
HMOs 247 247 225 0.876 0.080 0.044
Home care providers 338 338 293 0.840 0.082 0.078
Institutions 52 52 44 0.773 0.182 0.045
SBDs 10,680 10,680 7,289 0.842 0.061 0.097
Pharmacies 5,703 5,703 5,058 0.822 0.079 0.099
Total 29,742 29,742 24,266      
2000 Providers
Hospitals 3,760 3,760 3,467 0.910 0.037 0.054
Office-based providers 12,962 12,962 11,167 0.864 0.071 0.065
HMOs 118 118 113 0.929 0.035 0.035
Home care providers 319 319 281 0.858 0.068 0.075
Institutions 63 63 60 0.850 0.067 0.083
SBDs 11,144 11,144 7,026 0.840 0.065 0.094
Pharmacies 5,762 5,762 5,152 0.820 0.078 0.102
Total 34,128 34,128 27,266      
2001 Providers
Hospitals 6,801 5,616 5,201 0.912 0.038 0.050
Office-based providers 26,344 20,651 18,078 0.850 0.069 0.081
HMOs 476 334 287 0.899 0.021 0.066
Home care providers 520 509 436 0.851 0.060 0.046
Institutions 83 82 76 0.934 0.079 -
SBDs 20,644 20,644 12,891 0.795 0.094 0.111
Pharmacies 9,118 9,118 8,141 0.761 0.113 0.126
Total 63,986 56,954 45,110      
2002 Providers
Hospitals 8,811 6,780 6,325 0.900 0.048 0.045
Office-based providers 32,889 15,222 13,652 0.837 0.097 0.066
HMOs 559 290 256 0.899 0.055 0.047
Home care providers 631 611 537 0.823 0.093 0.084
Institutions 114 110 103 0.913 0.058 0.029
SBDs 21,385 21,385 13,976 0.773 0.121 0.106
Pharmacies 10,200 10,200 9,268 0.790 0.122 0.088
Total 74,589 54,598 44,117      
2003 Providers
Hospitals 7,806 6,023 5,580 0.898 0.047 0.055
Office-based providers 28,946 15,361 13,808 0.835 0.095 0.070
HMOs 506 280 218 0.876 0.032 0.092
Home care providers 607 586 527 0.850 0.068 0.082
Institutions 83 81 73 0.945 0.027 0.027
SBDs 18,613 18,613 12,154 0.828 0.104 0.068
Pharmacies 8,882 8,882 8,101 0.729 0.200 0.106
Total 65,443 49,826 40,461      
2004 Providers
Hospitals 7,567 6,094 5,671 0.920 0.027 0.053
Office-based providers 27,617 20,202 18,069 0.864 0.076 0.060
HMOs 420 300 250 0.892 0.056 0.052
Home care providers 568 556 509 0.809 0.108 0.083
Institutions 93 92 89 0.910 0.056 0.034
SBDs 20,094 20,094 13,225 0.840 0.076 0.084
Pharmacies 8,608 8,608 7,663 0.794 0.159 0.047
Total 64,967 55,946 45,476      
2005 Providers
Hospitals 7,461 6,059 5,600 0.931 0.026 0.043
Office-based providers 26,972 18,933 16,898 0.859 0.086 0.055
HMOs 422 301 241 0.963 0.012 0.025
Home care providers 606 593 539 0.810 0.111 0.080
Institutions 121 116 108 0.963 0.009 0.028
SBDs 19,810 19,810 12,971 0.846 0.075 0.077
Pharmacies 8,404 8,404 7,568 0.787 0.167 0.046
Total 63,796 54,216 43,925      
2006 Providers
Hospitals 7,447 5,884 5,484 0.941 0.022 0.037
Office-based providers 27,620 13,473 12,062 0.869 0.074 0.057
HMOs 333 284 238 0.920 0.042 0.038
Home care providers 655 648 602 0.856 0.080 0.065
Institutions 80 80 78 0.808 0.115 0.077
SBDs 21,126 21,126 13,013 0.823 0.111 0.066
Pharmacies 8,471 8,471 7,489 0.799 0.149 0.052
Total 65,732 49,966 38,966      
2007 Providers
Hospitals 7,110 5,708 5,328 0.944 0.023 0.033
Office-based providers 25,052 15,273 13,492 0.875 0.077 0.048
HMOs 501 316 247 0.923 0.036 0.041
Home care providers 534 516 464 0.883 0.060 0.057
Institutions 76 76 72 0.930 0.042 0.028
SBDs 19,435 19,435 12,410 0.874 0.072 0.054
Pharmacies 8,619 8,619 7,760 0.797 0.165 0.038
Total 61,327 49,943 39,773      
2008 Providers
Hospitals 6,470 5,126 4,776 0.946 0.022 0.035
Office-based providers 25,537 10,762 9,533 0.891 0.067 0.054
HMOs 517 243 198 0.970 - 0.031
Home care providers 505 498 446 0.901 0.077 0.032
Institutions 81 77 72 0.944 0.044 0.015
SBDs 19,262 19,262 11,364 0.860 0.097 0.066
Pharmacies 7,799 7,799 7,026 0.756 0.271 0.050
Total 60,171 43,767 33,415      
2009 Providers
Hospitals n/a 7,391 6,436 0.890 0.012 0.098
Office-based providers n/a 10,234 9,148 0.801 0.003 0.227
HMOs n/a 249 249 - - -
Home care providers n/a 664 603 0.861 0.053 0.086
Institutions n/a 105 101 0.921 0.030 0.050
SBDs n/a 24,208 19,874 0.683 0.081 0.236
Pharmacies n/a 8,935 7,949 0.689 0.050 0.262
Total n/a 51,786 44,366      
2010 Providers
Hospitals n/a 5,564 5,072 0.846 0.034 0.119
Office-based providers n/a 11,841 10,441 0.806 0.062 0.132
HMOs n/a 378 309 0.832 - 0.168
Home care providers n/a 511 454 0.775 0.097 0.128
Institutions n/a 106 92 0.880 0.054 0.065
SBDs n/a 26,093 20,868 0.565 0.101 0.335
Pharmacies n/a 7,960 7,118 0.610 0.015 0.283
Total n/a 52,453 44,354      
2011 Providers
Hospitals n/a 6,034 5,435 0.919 0.016 0.065
Office-based providers n/a 11,522 10,169 0.890 0.023 0.086
HMOs n/a 327 275 0.869 - 0.131
Home care providers n/a 568 487 0.893 0.035 0.072
Institutions n/a 93 88 0.920 0.023 0.057
SBDs n/a 30,235 21,222 0.447 0.000 0.553
Pharmacies n/a 8,270 7,420 0.749 0.015 0.237
Total n/a 57,049 45,096      
2012 Providers
Hospitals n/a 6,207 5,896 0.870 0.015 0.115
Office-based providers n/a 15,797 14,065 0.876 0.028 0.096
HMOs n/a 412 380 0.776 0.042 0.182
Home care providers n/a 655 573 0.843 0.019 0.080
Institutions n/a 157 151 0.894 0.053 0.053
SBDs 42,756 29,168 20,080 0.598 0.000 0.402
Pharmacies n/a 9,250 8,472 0.805 0.016 0.230
Total n/a 64,676 49,617      
2013 Providers
Hospitals n/a 6,119 5,788 0.877 0.036 0.087
Office-based providers n/a 14,608 13,236 0.890 0.036 0.073
HMOs n/a 336 300 0.687 - 0.313
Home care providers n/a 760 646 0.862 0.025 0.113
Institutions n/a 136 128 0.914 0.023 7.586
SBDs n/a 34,590 21,968 0.578 0.008 0.414
Pharmacies n/a 9,246 8,463 0.846 0.013 0.138
Total   65,795 50,529      
2014 Providers
Hospitals n/a 6,442 6,031 0.848 0.001 0.151
Office-based providers n/a 17,906 15,904 0.865 0.001 0.134
HMOs n/a 410 366 0.719 - 0.281
Home care providers n/a 794 677 0.861 - 0.139
Institutions n/a 143 132 0.924 - 0.076
SBDs n/a 33,092 21,829 0.539 0.001 0.460
Pharmacies n/a 8,812 8,085 0.852 0.011 0.137
Total   67,599 53,024      
2015 Providers
Hospitals n/a 6,719 6,323 0.811 0.053 0.136
Office-based providers n/a 13,056 11,957 0.849 0.039 0.113
HMOs n/a 358 343 0.813 - 0.187
Home care providers n/a 890 728 0.794 0.008 0.198
Institutions n/a 140 129 0.884 - 0.116
SBDs n/a 33,351 19,786 0.591 0.000 0.408
Pharmacies n/a 9,001 8,206 0.881 0.003 0.116
Total   63,515 47,472      
2016 Providers
Hospitals n/a 6,609 6,170 0.861 0.024 0.116
Office-based providers n/a 14,055 12,903 0.869 0.020 0.111
HMOs n/a 375 323 0.833 0.000 0.167
Home care providers n/a 908 763 0.847 0.007 0.147
Institutions n/a 131 128 0.906 0.000 0.094
SBDs n/a 34,627 22,573 0.549 0.036 0.415
Pharmacies n/a 8,457 7,637 0.906 0.001 0.093
Total   65,162 50,497      
2017 Providers
Hospitals n/a 7,026 6,551 0.879 0.006 0.115
Office-based providers n/a 16,839 15,105 0.824 0.007 0.168
HMOs n/a 369 323 0.910 0.000 0.090
Home care providers n/a 858 713 0.851 0.000 0.149
Institutions n/a 168 161 0.913 0.000 0.087
SBDs n/a 20,936 12,825 0.670 0.000 0.330
Pharmacies n/a 10,531 9,324 0.872 0.000 0.128
Total   56,727 45,002      
2018 Providers
Hospitals n/a 7,970 7,321 0.881 0.005 0.114
Office-based providers n/a 15,449 13,677 0.820 0.003 0.177
HMOs n/a 331 299 0.890 0.000 0.110
Home care providers n/a 952 838 0.850 0.001 0.149
Institutions n/a 184 166 0.910 0.000 0.090
SBDs n/a 20,002 11,827 0.682 0.001 0.317
Pharmacies n/a 12,763 11,234 0.896 0.013 0.091
Total n/a 57,651 45,362      
2019 Providers
Hospitals n/a 6,948
6,595
0.584
0.009
0.407
Office-based providers n/a 17,537 16,000 0.658 0.004 0.339
HMOs n/a 341 308 0.711 0.000 0.289
Home care providers n/a 891 815 0.804 0.000 0.196
Institutions n/a 142 131 0.824 0.000 0.176
SBDs n/a 16,602 12,162 0.474 0.002 0.524
Pharmacies n/a 8,969 7,998 0.810 0.007 0.184
Total n/a 51,430 44,009      
2020 Providers
Hospitals n/a 6,291 5,575 0.791 0.009 0.200
Office-based providers n/a 16,765 14,880 0.691 0.006 0.303
HMOs n/a 326 292 0.911 0.000 0.089
Home care providers n/a 819 763 0.743 0.000 0.257
Institutions n/a 115 107 0.822 0.000 0.178
SBDs n/a 17,497 12,495 0.466 0.001 0.532
Pharmacies n/a 8,465 7,446 0.665 0.008 0.325
Total n/a 50,278 41,558      
2021 Providers
Hospitals n/a 8,630 7,918 0.613 0.026 0.361
Office-based providers n/a 16,911 14,950 0.642 0.033 0.325
HMOs n/a 418 384 0.516 0.000 0.484
Home care providers n/a 979 886 0.719 0.021 0.260
Institutions n/a 120 118 0.847 0.000 0.153
SBDs n/a 17,162 12,690 0.491 0.046 0.462
Pharmacies n/a 10,538 9,079 0.826 0.020 0.157
Total n/a 54,758 46,025      
2022 Providers
Hospitals n/a 6,900 6,080 0.702 0.027 0.272
Office-based providers n/a 16,772 14,486 0.637 0.047 0.316
HMOs n/a 393 339 0.602 0.000 0.398
Home care providers n/a 814 752 0.786 0.015 0.199
Institutions n/a 109 102 0.892 0.020 0.088
SBDs n/a 14,555 9,524 0.638 0.020/td> 0.341
Pharmacies n/a 8,610 7,400 0.869 0.018 0.113
Total n/a 48,153 38,683      

Return to Table of Contents

Table B-4. MPC Data Collection Results, Pair Level, 1996-2022

  Initial Sample Sub-sample Eligible Sample Completion Rate Refusal Rate Other Nonresponse Rate
1996 Pairs
Hospitals 6,729 6,729 6,570 0.932 0.038 0.030
Office-based providers 13,681 13,681 10,251 0.865 0.079 0.056
HMOs 534 534 924 0.803 0.105 0.092
Home care providers 461 461 385 0.875 0.057 0.068
Institutions 63 63 53 0.943 0.057 0.000
SBDs 12,488 12,488 8,689 0.937 0.056 0.007
Pharmacies 14,531 14,531 12,146 0.671    
Total 48,487 48,487 39,018      
1997 Pairs
Hospitals 11,694 8,192 7,938 0.874 0.070 0.056
Office-based providers 19,157 12,635 10,062 0.862 0.062 0.076
HMOs 809 809 911 0.626 0.156 0.218
Home care providers 750 750 662 0.823 0.095 0.082
Institutions 85 85 80 0.825 0.113 0.063
SBDs 17,397 8,697 5,964 0.865 0.123 0.013
Pharmacies 20,248 20,248 16,241 0.672 0.075 0.253
Total 70,140 51,416 41,858      
1998 Pairs
Hospitals 7,922 6,434 5,824 0.925 0.031 0.044
Office-based providers 12,641 10,747 9,334 0.852 0.050 0.098
HMOs 436 436 346 0.832 0.133 0.035
Home care providers 520 491 445 0.825 0.085 0.090
Institutions 64 70 65 0.754 0.169 0.077
SBDs 13,658 13,658 9,687 0.836 0.084 0.080
Pharmacies 12,321 12,321 10,388 0.793 0.116 0.091
Total 47,562 44,157 36,089      
1999 Pairs
Hospitals 6,712 6,712 6,160 0.909 0.053 0.039
Office-based providers 11,974 11,974 10,409 0.879 0.061 0.060
HMOs 555 555 472 0.886 0.068 0.047
Home care providers 394 394 340 0.818 0.088 0.094
Institutions 53 53 45 0.756 0.200 0.044
SBDs 14,907 14,907 10,101 0.808 0.091 0.100
Pharmacies 13,183 13,183 11,317 0.788 0.099 0.113
Total 47,778 47,778 38,844      
2000 Pairs
Hospitals 7,849 7,849 7,016 0.891 0.056 0.053
Office-based providers 17,407 17,407 14,935 0.854 0.079 0.067
HMOs 382 382 324 0.873 0.059 0.068
Home care providers 367 367 317 0.864 0.063 0.073
Institutions 66 66 63 0.825 0.095 0.079
SBDs 15,955 15,955 9,893 0.823 0.094 0.084
Pharmacies 14,847 14,847 12,728 0.768 0.105 0.127
Total 56,873 56,873 45,276      
2001 Pairs
Hospitals 11,798 11,377 10,155 0.899 0.023 0.051
Office-based providers 33,518 26,886 23,376 0.843 0.077 0.081
HMOs 965 791 637 0.878 0.028 0.094
Home care providers 607 601 471 0.847 0.064 0.089
Institutions 86 86 79 0.937 0.051 0.013
SBDs 28,905 28,905 17,529 0.778 0.127 0.095
Pharmacies 22,165 22,165 19,256 0.703 0.144 0.153
Total 98,044 90,811 71,503      
2002 Pairs
Hospitals 16,481 14,477 12,805 0.895 0.061 0.045
Office-based providers 42,327 19,309 17,198 0.832 0.104 0.065
HMOs 1,134 567 477 0.870 0.052 0.078
Home care providers 713 682 606 0.820 0.100 0.081
Institutions 116 115 107 0.907 0.056 0.037
SBDs 30,780 30,780 19,977 0.745 0.160 0.095
Pharmacies 26,046 26,046 23,057 0.734 0.156 0.110
Total 117,597 91,976 74,227      
2003 Pairs
Hospitals 13,876 13,094 11,532 0.895 0.052 0.054
Office-based providers 36,804 19,731 17,692 0.828 0.103 0.070
HMOs 939 625 466 0.852 0.054 0.094
Home care providers 652 641 579 0.853 0.067 0.079
Institutions 86 85 77 0.948 0.026 0.026
SBDs 26,965 26,965 17,566 0.804 0.152 0.045
Pharmacies 22,438 22,438 19,649 0.671 0.251 0.078
Total 101,760 83,579 67,561      
2004 Pairs
Hospitals 13,175 12,772 11,589 0.922 0.028 0.050
Office-based providers 34,611 26,392 23,446 0.858 0.084 0.058
HMOs 791 665 514 0.813 0.088 0.099
Home care providers 610 610 555 0.805 0.115 0.080
Institutions 94 94 90 0.911 0.056 0.033
SBDs 29,271 29,271 18,694 0.827 0.103 0.070
Pharmacies 21,720 21,720 18,571 0.715 0.214 0.071
Total 100,272 91,524 73,459      
2005 Pairs
Hospitals 12,933 12,601 11,279 0.923 0.036 0.041
Office-based providers 33,854 24,517 21,821 0.852 0.094 0.054
HMOs 804 685 514 0.955 0.014 0.031
Home care providers 689 689 619 0.816 0.113 0.071
Institutions 123 123 113 0.965 0.009 0.027
SBDs 28,930 28,930 18,720 0.824 0.114 0.063
Pharmacies 21,077 21,077 18,159 0.711 0.214 0.075
Total 98,410 88,622 71,225      
2006 Pairs
Hospitals 13,071 11,911 10,830 0.934 0.031 0.035
Office-based providers 37,576 17,139 15,274 0.861 0.082 0.056
HMOs 694 594 476 0.903 0.059 0.038
Home care providers 719 719 661 0.847 0.082 0.071
Institutions 80 80 78 0.808 0.115 0.077
SBDs 31,058 31,058 18,699 0.807 0.144 0.049
Pharmacies 20,990 20,990 17,418 0.734 0.196 0.070
Total 104,188 82,491 63,436      
2007 Pairs
Hospitals 11,220 10,646 9,611 0.929 0.032 0.039
Office-based providers 30,812 19,021 16,713 0.870 0.083 0.047
HMOs 852 621 459 0.919 0.046 0.035
Home care providers 574 572 513 0.887 0.057 0.056
Institutions 78 78 75 0.933 0.040 0.027
SBDs 26,407 26,407 16,660 0.864 0.046 0.090
Pharmacies 19,052 19,052 16,313 0.737 0.217 0.046
Total 88,995 76,397 60,344      
2008 Pairs
Hospitals 11,374 10,672 9,600 0.943 0.026 0.034
Office-based providers 32,546 13,917 12,281 0.884 0.077 0.054
HMOs 968 572 449 0.958 0.002 0.042
Home care providers 566 564 502 0.902 0.077 0.031
Institutions 81 80 75 0.947 0.042 0.014
SBDs 27,496 27,496 16,144 0.846 0.133 0.049
Pharmacies 19,678 19,678 17,038 0.706 0.356 0.060
Total 92,709 72,979 56,089      
2009 Pairs
Hospitals n/a 14,199 12,262 0.877 0.014 0.109
Office-based providers n/a 13,386 11,954 0.798 0.055 0.136
HMOs n/a 601 601 - - -
Home care providers n/a 728 656 0.854 0.055 0.087
Institutions n/a 113 109 0.927 0.028 0.046
SBDs n/a 27,480 22,417 0.683 0.084 0.233
Pharmacies n/a 22,587 19,683 0.632 0.260 0.108
Total n/a 79,094 67,682      
2010 Pairs
Hospitals n/a 9,960 8,664 0.825 0.055 0.120
Office-based providers n/a 14,256 12,378 0.801 0.073 0.126
HMOs n/a 624 478 0.791 - 0.209
Home care providers n/a 512 454 0.773 0.106 0.121
Institutions n/a 108 92 0.880 0.054 0.065
SBDs n/a 30,584 23,958 0.552 0.112 0.336
Pharmacies n/a 18,761 16,261 0.661 0.020 0.319
Total n/a 74,805 62,285      
2011 Pairs
Hospitals n/a 10,404 8,978 0.909 0.043 0.047
Office-based providers n/a 14,583 12,663 0.887 0.057 0.056
HMOs n/a 595 458 0.856 - 0.144
Home care providers n/a 609 505 0.889 0.036 0.075
Institutions n/a 95 90 0.900 0.056 0.044
SBDs n/a 38,873 26,802 0.441 0.033 0.525
Pharmacies n/a 19,807 17,414 0.730 0.022 0.248
Total n/a 84,966 66,910      
2012 Pairs
Hospitals n/a 11,361 10,534 0.846 0.032 0.122
Office-based providers n/a 19,945 17,639 0.868 0.056 0.076
HMOs n/a 764 702 0.715 0.056 0.229
Home care providers n/a 712 615 0.849 0.080 0.072
Institutions n/a 159 152 0.895 0.053 0.053
SBDs 49,782 35,182 23,406 0.576 0.019 0.405
Pharmacies n/a 22,731 20,510 0.743 0.030 0.226
Total n/a 90,854 73,558      
2013 Pairs
Hospitals n/a 11,017 10,314 0.865 0.074 0.061
Office-based providers n/a 16,921 15,279 0.886 0.060 0.054
HMOs n/a 610 541 0.643 0.331 0.023
Home care providers n/a 820 694 0.846 0.097 0.058
Institutions n/a 140 132 0.902 0.045 0.053
SBDs n/a 43,568 27,346 0.555 0.035 0.410
Pharmacies n/a 22,192 20,028 0.763 0.072 0.165
Total   95,268 74,334      
2014 Pairs
Hospitals n/a 10,909 10,048 0.835 0.045 0.120
Office-based providers n/a 21,280 18,879 0.863 0.051 0.000
HMOs n/a 794 667 0.705 - 0.295
Home care providers n/a 842 710 0.856 0.075 0.069
Institutions n/a 148 136 0.919 0.037 0.044
SBDs n/a 41,670 27,064 0.509 0.034 0.457
Pharmacies n/a 20,405 18,424 0.792 0.029 0.179
Total   96,048 75,928      
2015 Pairs
Hospitals n/a 11,225 10,412 0.805 0.093 0.102
Office-based providers n/a 16,727 15,338 0.845 0.082 0.073
HMOs n/a 833 752 0.742 - 0.258
Home care providers n/a 957 773 0.796 0.106 0.098
Institutions n/a 147 134 0.888 0.052 0.060
SBDs n/a 41,981 24,610 0.567 0.048 0.385
Pharmacies n/a 20,826 18,415 0.832 0.023 0.145
Total   92,696 70,434      
2016 Pairs
Hospitals n/a 11,088 10,162 0.851 0.081 0.068
Office-based providers n/a 18,445 16,927 0.861 0.070 0.069
HMOs n/a 905 790 0.766 - 0.234
Home care providers n/a 984 817 0.841 0.111 0.048
Institutions n/a 134 131 0.908 0.046 0.046
SBDs n/a 42,951 27,490 0.539 0.050 0.412
Pharmacies n/a 20,218 17,366 0.850 0.067 0.083
Total n/a 94,725 73,683      
2017 Pairs
Hospitals n/a 11,059 10,171 0.870 0.048 0.082
Office-based providers n/a 19,382 17,370 0.820 0.036 0.144
HMOs n/a 704 577 0.896 - 0.104
Home care providers n/a 920 768 0.850 0.073 0.077
Institutions n/a 173 166 0.916 0.018 0.066
SBDs n/a 23,063 14,437 0.661 0.072 0.267
Pharmacies n/a 19,262 16,735 0.858 0.025 0.117
Total n/a 75,103 60,224      
2018 Pairs
Hospitals n/a 12,979 11,689 0.877 0.028 0.095
Office-based providers n/a 18,256 16,166 0.824 0.036 0.140
HMOs n/a 576 490 0.855 0.043 0.102
Home care providers n/a 1,032 906 0.849 0.044 0.107
Institutions n/a 191 169 0.905 0.018 0.077
SBDs n/a 22,775 13,313 0.680 0.050 0.270
Pharmacies n/a 20,872 17,744 0.878 0.050 0.072
Total n/a 76,681 60,477      
2019 Pairs
Hospitals n/a 11,473
10,665
0.572 0.032 0.396
Office-based providers n/a 21,458 19,527 0.653 0.024 0.323
HMOs n/a 565 484 0.702 0.000 0.298
Home care providers n/a 959 880 0.802 0.026 0.172
Institutions n/a 144 133 0.820 0.053 0.128
SBDs n/a 19,283 14,091 0.473 0.046 0.481
Pharmacies n/a 18,263 15,917 0.771 0.062 0.167
Total n/a 72,145 61,697      
2020 Pairs
Hospitals n/a 10,105 8,776 0.775 0.031 0.194
Office-based providers n/a 20,355 17,983 0.686 0.050 0.264
HMOs n/a 596 465 0.892 0.000 0.108
Home care providers n/a 876 816 0.749 0.032 0.219
Institutions n/a 117 109 0.817 0.092 0.092
SBDs n/a 20,299 14,379 0.479 0.008 0.513
Pharmacies n/a 16,858 14,607 0.816 0.068 0.116
Total n/a 69,206 57,135      
2021 Pairs
Hospitals n/a 13,112 11,960 0.600 0.026 0.374
Office-based providers n/a 19,810 17,470 0.640 0.037 0.324
HMOs n/a 742 652 0.463 0.000 0.537
Home care providers n/a 1,069 965 0.730 0.042 0.228
Institutions n/a 121 119 0.849 0.025 0.126
SBDs n/a 20,158 14,760 0.495 0.053 0.451
Pharmacies n/a 21,106 17,698 0.812 0.112 0.076
Total n/a 76,118 63,624      
2022 Pairs
Hospitals n/a 10,134 8,869 0.700 0.046 0.254
Office-based providers n/a 19,819 17,088 0.642 0.051 0.306
HMOs n/a 681 538 0.578 0.022 0.400
Home care providers n/a 859 794 0.773 0.050 0.176
Institutions n/a 109 102 0.882 0.029 0.078
SBDs n/a 16,723 10,953 0.634 0.033 0.332
Pharmacies n/a 16,566 13,940 0.842 0.097 0.060
Total n/a 64,891 52,284      

Return to Table of Contents

Appendix C: Critical Items

Event level

Answers are required for the following in order to be a full complete event:

An event can still be a full complete if we have “don't know” in any of the following:

Pair-level

Critical Items

Table C-1. Critical Items

Item Item is complete if: Hospital OBD Home Health Agency
HCH-Health
HCN-Non-Health
Institution SBD
  1. Admit and discharge dates for inpatient stays
Valid dates
Don't Know
Refusal
A2a     A1  
  1. Date of visit for outpatient visits
Valid date
Don't Know
Refusal
A2c B1      
  1. Dates of service
Valid dates
Don't Know
Refusal
    E1 (HCH)
D1 (HCN)
  B2b
  1. Diagnosis
Verbatim description or ICD-9 code
Don't Know
Refusal
    E2    
  1. Home health-care personnel type and hours:
    • Home health aide
    • Homemaker
    • IV/Infusion Therapist
    • Nurse/Nurse Practitioner
    • Nurse's aide
    • Occupational therapist
    • Personal care attendant
    • Physical therapist
    • Respiratory therapist
    • Social worker
    • Speech therapist
    • Yard worker
    • Driver
    • Babysitter
    • Other
Number of hours for each type (includes 0)
Don't Know
Refusal
    E3(HCH)
D2(HCN)
   
  1. (IF GLOBAL FEE) Dates of other services covered by fee
Valid dates
Don't Know
Refusal
A5d B2b      
  1. Location of service
    • Physician office
    • Hospital, Inpatient
    • Hospital, Outpatient
    • Hospital, Emergency Room
    • Somewhere else
(For each location)
Yes
No
Don't Know
Refusal
  B3      
  1. Services Provided
Description or CPT code
Don&339;t Know
Refusal
A6a B5a E4    
  1. DRG
Valid DRG
None
Don't Know
Refusal
A8        
  1. Surgical procedures
Description or CPT code
Don't Know
Refusal
A10a       B5a
  1. Fee-For-Service or Capitated
Fee or capitated C3 C3   Q5 C5
  1. Total charge
Dollar value
Don't Know
Refusal
      Q6  
  1. Dollar payment by payer:
    • Patient or patient's family
    • Medicare
    • Medicaid
    • Private insurance
    • VA/CHAMPVA
    • Tricare
    • Worker's compensation
(For each source)
Dollar value (includes 0)
Don't Know
Refusal
C4 C4 C4a Q7
Q11a
Q13
Q16
C4
  1. Other payment source and amount
Dollar value (includes 0)
Don't Know
Refusal
C4
Other Loop
C4
Other Loop
C4
Other Loop
C7, Q11a, Q13, Q16
Other Loop
C4
Other Loop
  1. What kind of insurance plan covered the patient for (this visit/these visits/this stay)?
    • Medicare
    • Medicaid
    • Private insurance
    • VA/CHAMPVA
    • Tricare
    • Worker's compensation
(For each source)
Yes
No
Don't Know
Refusal
C7a C7a      
  1. Payment source for ancillary charges
    • Patient or patient's family
    • Medicare
    • Medicaid
    • Private insurance
    • VA/CHAMPVA
    • Tricare
    • Worker's compensation
Dollar value (includes 0)
Don't Know
Refusal
      Q20  
  1. Other payment source for ancillary charges
Dollar value (includes 0)
Don't Know
Refusal
      Q20 Other Loop  
  1. Who paid co-payment?
    • Patient or patient's family
    • Medicare
    • Medicaid
    • Private insurance
Yes
No
Don't Know
Refusal
      Q21f  

Non-Pharmacy Providers. For hospital, OBD, HMO, Home Health, Institution, and SBD providers, the definition of partially complete events was expanded. In the 2010 MPC data collection and earlier, for a pair to be considered partially complete at least one event had to have a valid response for all critical items (no "don't know," "refusal," or missing entries). At the event level, if one critical item has a "don't know," "refusal," or missing entry, the event is coded as "final critical item missing." Because of a modification in the procedures for matching MPC events to HC events in the 2010 MPC, events coded as "final critical item missing" are included as events that could be matched. For this reason, beginning with the 2011 data collection and in subsequent cycles, criteria for partially complete events were revised to include events with at least one critical item answered.

Pharmacy Critical Items

Item Item is complete if: Item Number
  1. NDC or Drug Name
NDC: 11 DIGITS
Don't Know
Refusal
Drug Name: Text
Don't Know
Refusal
Q2a / Q2b
  1. If Drug Name:
    • Strength
Numeric value
Don't Know
Refusal
Q2c / Q2c1
  1. If Drug Name:
    • Strength Unit
Range of Units & Other Specify
Don't Know
Refusal
Q2d / Q2d2
  1. If Drug Name:
    • Dosage Form
Range of Forms & Other Specify Q2e
  1. Quantity
Numeric value up to 3 decimal points
Don't Know
Refusal
Q3a
  1. Patient Payment
Dollar Value
$0 - $500
Don't Know
Refusal
Q5
  1. Third party payer type
Range of Types & Other Specify
Don't Know
Refusal
Q6
  1. Third party payment
Dollar value
$0 - $5000
Don't Know
Refusal
Q7

Return to Table of Contents