Any Use and Frequent Use of Opioids among Elderly Adults in 2015–2016, by Socioeconomic Characteristics

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STATISTICAL BRIEF #515:
Any Use and Frequent Use of Opioids among Elderly Adults in 2015–2016, by Socioeconomic Characteristics

September 2018

Asako S. Moriya, PhD and G. Edward Miller, PhD

Highlights

In 2015–2016, 19.3 percent of elderly adults, on average, filled at least 1 outpatient opioid prescription, and 7.1 percent obtained 4 or more prescription fills during the year.
Elderly adults who were poor (9.5 percent) or low income (11.3 percent) were more likely than middle-income (6.8 percent) and high-income (4.5 percent) elderly adults to obtain 4 or more opioid prescription fills during the year.
In 2015–2016, the average annual rates of any outpatient opioid use increased as health status declined, ranging from 8.8 percent for those in excellent health to 39.4 percent for those in poor health. Similarly, rates of frequent use increased from 1.6 percent to 21.8 percent as health status declined from excellent to poor.
Elderly adults with Medicare and other public insurance coverage were more likely to fill at least 1 opioid prescription (24.4 percent) and to have 4 or more opioid prescription fills (11.2 percent) than those with Medicare only (18.8 and 7.6 percent) and those with Medicare and private insurance coverage (18.9 and 6.1 percent).

Introduction

Currently in the United States, prescription opioids are commonly used to treat both chronic and acute pain. These drugs can help manage some types of pain, but due to serious risks of opioid use disorder and overdose—particularly with high dosages and long-term use—opioids are not recommended as the first-line treatment for most types of pain.¹ Examining patterns of use of prescribed opioids can contribute to efforts to make appropriate use of these drugs.

This Statistical Brief presents estimates from the 2015 and 2016 Medical Expenditure Panel Survey Household Component (MEPS-HC) of fills of prescriptions for opioid medications that are commonly used to treat pain. Only prescriptions purchased or obtained in an outpatient setting are included in these estimates. Prescription medicines administered in an inpatient setting or in a clinic or physician's office are excluded.

The sample includes all elderly adults (ages 65 and older) in the U.S. civilian noninstitutionalized population. (Statistical Brief #516 presents estimates of opioid use for non-elderly adults ages 18 to 64.) We examine the average annual percentages of elderly adults in 2015–2016 with any opioid use (1 or more prescription fills during year) and with frequent opioid use, which we define as having 4 or more prescription fills or refills during the year.² We present overall estimates for the full population of elderly adults and for subgroups defined by sex, race/ethnicity, poverty status, insurance coverage, perceived health status, Census region, and MSA status. All differences mentioned in the text are significant at the p<0.05 level, or better.

Because of methodological and definitional differences, readers should use caution when comparing MEPS data with data from other sources. Details on the MEPS methodology and differences with other sources are included in the Definitions section of this Statistical Brief.

Findings

Overall and by sex
In 2015–2016, an average annual total of 9.8 million elderly adults, or 19.3 percent of the 50.5 million elderly adults in the U.S. civilian noninstitutionalized population, filled at least 1 opioid prescription, and 3.6 million or 7.1 percent of elderly adults had 4 or more opioid prescription fills or refills during the year (figure 1). There was no statistically significant difference in the rate of any use, or the rate of frequent use, between elderly men and women.

Race/Ethnicity
Any use and frequent use of outpatient opioid prescriptions differed across some racial and ethnic groups (figure 2). In 2015–2016, non-Hispanic whites (20.2 percent) were more likely, on average, than Hispanics (16.3 percent) and individuals of other races (14.3 percent) to fill an opioid prescription at least once during the year. A similar pattern was observed for frequent use of opioid prescriptions as non-Hispanic whites (7.5 percent) were more likely to obtain 4 or more opioid prescription fills during the year than Hispanics (5.2 percent) and individuals of other races (5.1 percent).

Poverty status
The likelihood of any use and frequent use of outpatient prescription opioids tended to be higher among elderly adults with lower incomes (figure 3). On average in 2015–2016, elderly adults with low-incomes (22.5 percent) and middle incomes (20.3 percent) were more likely to fill at least 1 opioid prescription during the year than those with high incomes (16.9 percent). Further, elderly adults who were poor (9.5 percent), low income (11.3 percent), or middle income (6.8 percent), were all more likely than high-income elderly adults (4.5 percent) to obtain 4 or more opioid prescription fills during the year. The average annual rate of frequent opioid use was also higher for poor and low-income elderly adults than for the middle-income elderly.

Insurance coverage
In 2015–2016, elderly adults with Medicare and other public insurance (24.4 percent) were more likely, on average, to fill at least 1 opioid prescription than elderly adults with Medicare only (18.8 percent) or Medicare and private insurance (18.9 percent) (figure 4). Similarly, elderly adults with Medicare and other public insurance (11.2 percent) were more likely than those with Medicare only (7.6 percent) and Medicare and private insurance (6.1 percent) to have 4 or more opioid prescription fills during the year.

Perceived health status
Any use and frequent use of outpatient opioids increased in a step-by-step fashion across health status categories as perceived health declined (figure 5). In 2015–2016, the average annual percentage of elderly adults who filled at least 1 outpatient opioid prescription during the year increased as their level of perceived health declined from excellent (8.8 percent), to very good (13.1 percent), to good (22.4 percent), to fair (29.4 percent), and finally to poor (39.4 percent). Similarly, the average annual percentage of elderly adults who had 4 or more opioid prescription fills also increased as their reported health status declined (1.6 percent for excellent health, 3.0 percent for very good health, 8.0 percent for good health, 13.9 percent for fair health, and 21.8 percent for poor health).

Census region
In 2015–2016, elderly adults in the Northeast Census region were less likely, on average, to fill any opioid prescriptions (13.3 percent) or to have 4 or more opioid prescription fills (4.0 percent) than those in other Census regions (23.1 and 8.7 percent in the Midwest, 20.1 and 7.6 percent in the South, and 19.3 and 7.2 percent in the West) (figure 6). The average annual rate of any opioid use was also lower in the West (19.3 percent) than in the Midwest (23.1 percent).

Metropolitan Statistical Area (MSA) status
Elderly adults living in MSAs were less likely than those living in non-MSAs to fill any outpatient opioid prescriptions (18.2 versus 24.6 percent) and to obtain 4 or more opioid prescription fills during the year (6.2 versus 11.1 percent) (figure 7).

Data Source

This Statistical Brief uses data from the 2015 and 2016 MEPS Full-Year Consolidated Data Files (HC-181 and HC-192) and non-public versions of the 2015 and 2016 Prescribed Medicines Files (HC-178A and HC-188A).

Definitions

Opioids
In this Statistical Brief, we examine outpatient prescription fills of opioids that are commonly used to treat pain. These opioids are identified using generic drug names for narcotic analgesics and narcotic analgesic combinations in the Multum Lexicon database from Cerner Multum, Inc. We identify slightly more opioids commonly used for pain than one would find in the MEPS public use files due to methods used to preserve the confidentiality of sample members. Opioids that are excluded from our analysis include respiratory agents, antitussives, and drugs commonly used in Medication Assisted Treatment.

Opioid prescription fills
We examine the percentage of elderly adults with any outpatient opioid prescription fills during the year ("any use") and the percentage with 4 or more fills or refills ("frequent use"). Acquisition of 4 fills or refills represents the 75^th percentile of the distribution of prescription fills among all adults (elderly and non-elderly) with any fills during the year.

MEPS estimates of opioid use may differ from estimates based on other data sources for several reasons. For example, MEPS and the Substance Abuse and Mental Health Services Administration's (SAMSHA) National Survey on Drug Use and Health (NSDUH) have substantial differences in methodologies and objectives. The NSDUH any use estimates comprise both prescribed use and misuse. Misuse includes taking medications for the feeling and any way the doctor did not prescribe. NSDUH respondents report use in inpatient, as well as outpatient, settings. Moreover, NSDUH includes targeted questions with show cards for specific drugs, is self-reported using audio computer assisted self-interviewing (ACASI), surveys persons ages 12 and older, and questions are asked based on a 12-month recall period.

In contrast, MEPS includes only prescribed drugs purchased in outpatient settings. Prescription medicines administered in an inpatient setting or in a clinic or physician's office are excluded. MEPS data are household reported, and one respondent reports for the entire household. MEPS uses computer assisted personal interviewing (CAPI), and questions are asked using a recall period of 3–6 months. Finally, this Statistical Brief examines opioid use among adults ages 65 and older.

Elderly adults
For this Brief, elderly adults are individuals ages 65 and older. The age variable used to identify elderly adults is based on the sample person's age as of the end of the year. If data were not collected during a round because the sample person was out of scope (e.g., deceased or institutionalized), then age at the time of the previous round was used.

Race/Ethnicity
Classification by race/ethnicity was based on information reported for each family member. First, respondents were asked if the person's main national origin or ancestry was Puerto Rican; Cuban; Mexican, Mexican-American, or Chicano; other Latin American; or other Spanish. All persons whose main national origin or ancestry was reported in one of these Hispanic groups, regardless of racial background, were classified as Hispanic. All other persons were classified according to their reported race. For this analysis, the following classification by race and ethnicity was used: Hispanic, non-Hispanic black, non-Hispanic white, and non-Hispanic other. The other category includes American Indian, Alaska Native, Asian or Pacific Islander, other race, and multiple races.

Poverty status
Each sample person was classified according to the total annual income of his or her family. Possible sources of income included annual earnings from wages, salaries, bonuses, tips, and commissions; business and farm gains and losses; unemployment and Worker's Compensation; interest and dividends; alimony, child support, and other private cash transfers; private pensions, individual retirement account (IRA) withdrawals, Social Security, and Department of Veterans Affairs payments; Supplemental Security Income and cash welfare payments from public assistance, Aid to Families with Dependent Children, and Aid to Dependent Children; gains or losses from estates, trusts, partnerships, S corporations, rent, and royalties; and a small amount of "other" income. Poverty status is the ratio of family income to the corresponding federal poverty thresholds, which control for family size and age of the head of family. Categories are defined as follows:

Poor: Household income below the federal poverty line.
Low income: Household income over the poverty line through 200 percent of the poverty line.
Middle income: Household income over 200 percent to 400 percent of the poverty line.
High income: Household income over 400 percent of the poverty line.

Insurance coverage

Medicare Only: Individuals covered by Medicare only during the year.
Medicare and Private: Individuals are classified as having Medicare and any private health insurance coverage if they were covered by Medicare and had private insurance that provided coverage for hospital and physician care (including Medigap coverage and TRICARE) at some point during the year.
Medicare and Public Only: Individuals are classified as having Medicare and public only insurance if they were covered by Medicare, they were not covered by private insurance or TRICARE at any point during the year, and they were covered by Medicaid or other public hospital and physician coverage at some point during the year.
No Medicare: Elderly adults who reported no Medicare coverage during the year comprise <2 percent of the sample and were excluded from the analysis.

Perceived health status
The MEPS respondent was asked to rate the health of each person in the family at the time of the interview according to the following categories: excellent, very good, good, fair, and poor. For persons with missing health status in a round, the response for health status at the previous round was used, if available. A small percentage of persons (<1 percent) had a missing response for perceived health status.

Census region
The Census region variable is based on the location of the household at the end of the year. If missing, the most recent location available is used.

Northeast: Maine, New Hampshire, Vermont, Massachusetts, Rhode Island, Connecticut, New York, New Jersey, and Pennsylvania.
Midwest: Ohio, Indiana, Illinois, Michigan, Wisconsin, Minnesota, Iowa, Missouri, North Dakota, South Dakota, Nebraska, and Kansas.
South: Delaware, Maryland, District of Columbia, Virginia, West Virginia, North Carolina, South Carolina, Georgia, Florida, Kentucky, Tennessee, Alabama, Mississippi, Arkansas, Louisiana, Oklahoma, and Texas.
West: Montana, Idaho, Wyoming, Colorado, New Mexico, Arizona, Utah, Nevada, Washington, Oregon, California, Alaska, and Hawaii.

Metropolitan Statistical Area
The Metropolitan Statistical Area (MSA) variable is based on the location of the household at the end of the year and reflects the most recent delineations of MSAs established by Office of Management and Budget (OMB).

About MEPS-HC

The Medical Expenditure Panel Survey Household Component (MEPS-HC) collects nationally representative data on health care use, expenditures, sources of payment, and insurance coverage for the U.S. civilian noninstitutionalized population. The MEPS-HC is cosponsored by the Agency for Healthcare Research and Quality (AHRQ) and the National Center for Health Statistics (NCHS). More information about the MEPS-HC can be found on the MEPS Web site at http://www.meps.ahrq.gov/.

References

For a detailed description of the MEPS-HC survey design, sample design, and methods used to minimize sources of nonsampling error, see the following publications:

Cohen, J. Design and Methods of the Medical Expenditure Panel Survey Household Component. MEPS Methodology Report No. 1. AHCPR Pub. No. 97-0026. Rockville, MD: Agency for Health Care Policy and Research, 1997. https://meps.ahrq.gov/data_files/publications/mr1/mr1.shtml.

Cohen, S. Sample Design of the 1996 Medical Expenditure Panel Survey Household Component. MEPS Methodology Report No. 2. AHCPR Pub. No. 97-0027. Rockville, MD: Agency for Health Care Policy and Research, 1997. https://meps.ahrq.gov/data_files/publications/mr2/mr2.shtml.

Suggested Citation

Moriya, A.S. and Miller, G.E. Any Use and Frequent Use of Opioids among Elderly Adults in 2015–2016, by Socioeconomic Characteristics. September 2018. Statistical Brief #515. Agency for Healthcare Research and Quality, Rockville, MD. https://meps.ahrq.gov/mepsweb/data_files/publications/st515/stat515.shtml

* * *
AHRQ welcomes questions and comments from readers of this publication who are interested in obtaining more information about access, cost, use, financing, and quality of health care in the United States. We also invite you to tell us how you are using this Statistical Brief and other MEPS data and tools and to share suggestions on how MEPS products might be enhanced to further meet your needs. Please email us at MEPSProjectDirector@ahrq.hhs.gov or send a letter to the address below:

Joel Cohen, PhD, Director
Center for Financing, Access, and Cost Trends
Agency for Healthcare Research and Quality
5600 Fishers Lane, Mailstop 07W41A
Rockville, MD 20857

¹ U.S. Department of Health and Human Services, Centers for Disease Control and Prevention. CDC Guidelines for Prescribing Opioids for Chronic Pain. https://www.cdc.gov/drugoverdose/pdf/guidelines_at-a-glance-a.pdf
² Acquisition of 4 fills or refills represents the 75^th percentile of the distribution of prescription fills among all adults (elderly and non-elderly) with any fills during the year.

The figure contains the average annual percent of elderly adults who filled outpatient opioid prescriptions in 2015–2016, overall and by sex

Figure 1. Average annual percent of elderly adults who filled outpatient opioid¹ prescriptions in 2015–2016, overall and by sex
Overall and by sex	Elderly adults with any opioid prescription fills during the year Percentage (95% CI)	Elderly adults with 4 or more opioid prescription fills during the year² Percentage (95% CI)
Overall	19.3 (17.9, 20.7)	7.1 (6.3, 7.8)
Male	18.2 (16.3, 20.2)	6.9 (5.7, 8.1)
Female	20.2 (18.7, 21.7)	7.2 (6.3, 8.1)

¹ Comprised of all opioids commonly used to treat pain.
² Acquisition of 4 fills or refills represents the 75^th percentile of the distribution of prescription fills among all adults (elderly and non-elderly) with any fills during the year.
The vertical lines in the chart indicate the 95% confidence intervals for the estimates.
Source: Center for Financing, Access, and Cost Trends, AHRQ, Household Component of the Medical Expenditure Panel Survey, 2015–2016.

The figure contains the average annual percent of elderly adults who filled outpatient opioid prescriptions in 2015–2016, by race/ethnicity

Figure 2. Average annual percent of elderly adults who filled outpatient opioid¹ prescriptions in 2015–2016, by race/ethnicity
Race/Ethnicity	Elderly adults with any opioid prescription fills during the year Percentage (95% CI)	Elderly adults with 4 or more opioid prescription fills during the year² Percentage (95% CI)
Non-Hispanic white	20.2 (18.7, 21.8)	7.5 (6.6, 8.4)
Non-Hispanic black	17.8 (15.4, 20.2)	6.5 (5.1, 7.9)
Hispanic	16.3 (13.9, 18.7)	5.2 (3.7, 6.8)
Non-Hispanic other	14.3 (10.9, 17.8)	5.1 (3.1, 7.1)

The figure contains the average annual percent of elderly adults who filled outpatient opioid prescriptions in 2015–2016, by poverty status

Figure 3. Average annual percent of elderly adults who filled outpatient opioid¹ prescriptions in 2015–2016, by poverty status
Poverty status	Elderly adults with any opioid prescription fills during the year Percentage (95% CI)	Elderly adults with 4 or more opioid prescription fills during the year² Percentage (95% CI)
Poor	19.9 (16.9, 23.0)	9.5 (7.3, 11.8)
Low income	22.5 (19.8, 25.2)	11.3 (9.3, 13.3)
Middle income	20.3 (18.1, 22.4)	6.8 (5.6, 8.0)
High income	16.9 (14.9, 18.8)	4.5 (3.5, 5.4)

The figure contains the average annual percent of elderly adults who filled outpatient opioid prescriptions in 2015–2016, by insurance coverage

Figure 4. Average annual percent of elderly adults who filled outpatient opioid¹ prescriptions in 2015–2016, by insurance coverage
Insurance coverage	Elderly adults with any opioid prescription fills during the year Percentage (95% CI)	Elderly adults with 4 or more opioid prescription fills during the year² Percentage (95% CI)
Medicare only	18.8 (16.9, 20.6)	7.6 (6.3, 8.9)
Medicare and private	18.9 (17.0, 20.8)	6.1 (5.0, 7.1)
Medicare and other public	24.4 (21.5, 27.2)	11.2 (9.1, 13.3)

The figure contains the average annual percent of elderly adults who filled outpatient opioid prescriptions in 2015–2016, by perceived health status

Figure 5. Average annual percent of elderly adults who filled outpatient opioid¹ prescriptions in 2015–2016, by perceived health status
Perceived health status	Elderly adults with any opioid prescription fills during the year Percentage (95% CI)	Elderly adults with 4 or more opioid prescription fills during the year² Percentage (95% CI)
Excellent	8.8 (6.8, 10.9)	1.6 (0.9, 2.2)
Very good	13.1 (11.4, 14.8)	3.0 (2.1, 3.8)
Good	22.4 (20.2, 24.6)	8.0 (6.6, 9.3)
Fair	29.4 (26.3, 32.6)	13.9 (11.6, 16.2)
Poor	39.4 (33.8, 45.0)	21.8 (17.6, 25.9)

The figure contains the average annual percent of elderly adults who filled outpatient opioid prescriptions in 2015–2016, by census region

Figure 6. Average annual percent of elderly adults who filled outpatient opioid¹ prescriptions in 2015–2016, by Census region
Census region	Elderly adults with any opioid prescription fills during the year Percentage (95% CI)	Elderly adults with 4 or more opioid prescription fills during the year² Percentage (95% CI)
Northeast	13.3 (11.7, 14.9)	4.0 (3.2, 4.8)
Midwest	23.1 (20.2, 26.0)	8.7 (6.8, 10.6)
South	20.1 (17.4, 22.9)	7.6 (6.1, 9.1)
West	19.3 (17.0, 21.6)	7.2 (5.7, 8.7)

The figure contains the average annual percent of elderly adults who filled outpatient opioid prescriptions in 2015–2016, by Metropolitan Statistical Area (MSA) status

Figure 7. Average annual percent of elderly adults who filled outpatient opioid¹ prescriptions in 2015–2016, by Metropolitan Statistical Area (MSA) status
MSA status	Elderly adults with any opioid prescription fills during the year Percentage (95% CI)	Elderly adults with 4 or more opioid prescription fills during the year² Percentage (95% CI)
MSA	18.2 (16.7, 19.7)	6.2 (5.4, 7.0)
Non-MSA	24.6 (21.1, 28.0)	11.1 (9.0, 13.1)

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STATISTICAL BRIEF #515: Any Use and Frequent Use of Opioids among Elderly Adults in 2015–2016, by Socioeconomic Characteristics