RESEARCH FINDINGS #50: Understanding Veterans' Healthcare Use and Experience,
2018–2019
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November 2022 |
Didem M. Bernard, Ph.D., Abigail Woodroffe, Ph.D., and Siying Lui, Ph.D.
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- The average annual population of Veterans was 16.4 million during the 2-year period
2018–2019. Among all Veterans, 62.4 percent (10.2 million) did not have VA coverage, and 37.6 percent (6.2
million) had VA coverage.
- Non-Hispanic White Veterans; Veterans with private coverage, higher income, higher
education, and excellent or very good physical and mental health; and Veterans living in the South
Atlantic region and metropolitan areas were less likely to have VA coverage. Non-Hispanic Black Veterans;
Veterans with public coverage, lower income, and fair or poor physical and mental health; and Veterans
living in rural areas were more likely to have VA coverage.
- Of 15 conditions assessed on the VSAQ, 11 conditions were more prevalent among
Veterans with VA coverage than those without VA coverage. The conditions that were more prevalent in
Veterans with VA coverage were chronic obstructive pulmonary disease (COPD), hearing loss, back pain,
gout, neck pain, osteoarthritis, alcohol abuse, any mental health condition, depression, other mood
disorders, and post-traumatic stress disorder (PTSD).
- Among all Veterans, in the past 12 months, 83.0 percent had at least one healthcare
visit, 10.2 percent had only VA care visits, 55.0 percent had only non-VA care visits, and 17.8 percent
had both VA and non-VA care visits. Veterans with VA coverage were more likely to have any healthcare
visits than those without VA coverage (88.6 percent and 79.6 percent, respectively).
- Veterans with VA coverage were significantly more likely to have all services that
the VSAQ asked about (caregiver support, group counseling for mental healthcare, individual mental
healthcare, assistive mobility device, prosthesis, rehabilitation services, and prescription medications)
than Veterans without VA coverage.
- Among Veterans with VA coverage, the top three major factors in choosing a PCP were
the reputation of the personal doctor (44.9%), whether the doctor understands the special needs of
Veterans (41.1%), and whether the doctor is in the health plan's network (39.6%). For Veterans without VA
coverage, the top three major factors were whether the doctor is in the health plan's network (52.3%), the
reputation of the personal doctor (50.8%), and the location of the doctor's practice (39.6%).
- Full satisfaction with patient experience for Veterans visiting a VA PCP/PACT ranged
from 41.1 percent reporting that their VA PCP/PACT provider "always" knew about tests or results from
other VA providers to 70.2 percent reporting that their VA PCP/PACT provider "always" kept health
information complete and up to date.
- Among all Veterans visiting a VA PCP/PACT, 44.6 percent reported that they "always"
got a referral to see non-VA providers from their VA PCP/PACT provider as soon as they needed it.
- Among all Veterans visiting a non-VA provider, 50.6 percent reported that their
non-VA provider "always" knew about their past health problems and treatments, and 62.2 percent reported
that their non-VA provider "always" kept health information complete and up to date.
- Veterans rate VA providers higher than non-VA providers for two measures: knowledge
about past problems and keeping health information complete and up to date. Among all Veterans visiting a
VA PCP/PACT, 67.6 percent reported that their VA provider "always" had knowledge about their past health
problems, compared with 50.6 percent among Veterans visiting a non-VA provider. Among all Veterans
visiting a VA PCP/PACT, 70.2 percent reported that their VA provider "always" kept health information
complete and up to date, compared with 62.2 percent among Veterans visiting a non-VA provider.
- Among all Veterans visiting a VA specialist, 90.1 percent reported that their VA
specialist had enough information about their medical history.
- Among Veterans with care from both a VA PCP and a non-VA provider, 63.2 percent said
their VA PCP was aware of their healthcare services outside the VA. Among Veterans receiving care from
both a VA specialist and a non-VA provider, 40.8 percent said their VA specialist was aware of their
healthcare services outside the VA. Among Veterans receiving care from both a VA provider and a non-VA
provider, 64.8 percent said their non-VA provider was aware of their healthcare services at the VA.
- Among Veterans receiving care from both VA and non-VA providers who were not aware
of care received from other providers, roughly 85 percent reported that the lack of awareness was not a
problem. Among Veterans whose VA PCP/PACT was not aware of services from a non-VA provider, 83.0 percent
reported that the lack of awareness was not a problem. Among Veterans receiving care from a VA specialist
who was not aware of services from a non-VA provider, 89.6 percent reported that the lack of awareness was
not a problem. Among Veterans whose non-VA provider was not aware of services received at the VA, 84.2
percent reported that the lack of awareness was not a problem.
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Abstract
This report examines the prevalence of selected medical conditions, use of healthcare both inside and outside of the
healthcare system of the Department of Veterans Affairs (VA), and experience with VA and non-VA healthcare providers
among Veterans in the U.S. civilian non-institutionalized population. We use the Veteran Self-Administered Questionnaire
(VSAQ) fielded in 2018 and 2019 as part of the Medical Expenditure Panel Survey (MEPS). In the first section of this
report, we present sociodemographic characteristics, medical conditions, service use, and factors that affect primary
care provider choice among all Veterans. In addition to estimates for all Veterans, we also present separate estimates
for Veterans with and without VA coverage in the year they completed the VSAQ to identify differences and similarities
in health status and reliance on the VA between Veterans with and without VA coverage. Reliance on the VA is defined as
use of any healthcare services provided by the VA in the past 12 months. In the second section of this report, we
present results on patient experience with VA and non-VA providers and care coordination between VA and non-VA
providers.
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Introduction
Examining Veterans' use of healthcare and patient experience both inside and outside of the healthcare
system of the Department of Veterans Affairs (VA) provides helpful information for predicting Veterans'
future demand for VA healthcare as the demographics and needs of the Veteran population change. Predicting
such demand is important for ensuring that adequate resources and capabilities will be available to meet the
unique and varying healthcare needs of Veterans. This report uses pooled data from the Veteran
Self-Administered Questionnaire (VSAQ) fielded in 2018 and 2019 as part of the Medical Expenditure Panel
Survey (MEPS). Since the VSAQ contains information on healthcare use and patient experience both inside and
outside of the VA health system, it is a unique data source for analyzing Veterans' healthcare needs.
Veterans' eligibility for VA healthcare use is based on many factors, including active duty military
service, type of military discharge, service-connected disabilities, medical conditions incurred while in
the service, locations and dates of military service, and deployments. Veterans' reliance on VA healthcare
versus outside care is also based on multiple factors, such as whether Veterans are eligible to receive free
VA care, whether they have private or public health insurance coverage, the generosity of their insurance
coverage relative to the cost of receiving VA care, their proximity to a VA healthcare facility, wait times
at the nearest VA healthcare facility, and perceived quality of care at VA and non-VA healthcare facilities.
In the first section of this report, we present descriptive statistics on sociodemographic
characteristics, medical conditions, service use, and factors that affect primary care provider (PCP) choice
among Veterans. In addition to estimates for all Veterans, we present separate estimates for Veterans with
and without VA coverage to identify differences and similarities in sociodemographics, health status, and
reliance on VA healthcare. Since Veteran women are younger than Veteran men and differ from them in terms of
healthcare use and medical conditions, we also present sociodemographic characteristics separately for men
and women Veterans. In addition, to assess unique characteristics of Veterans, Veteran men are compared with
non-Veteran men in terms of sociodemographics and the prevalence of priority medical conditions collected in
the non-VSAQ sections of the MEPS questionnaire. The rest of the estimates in this report, such as service
use, factors that affect primary care choice, and patient experience, are not broken down by gender or
Veteran status.
In the second section of this report, we present results on patient experience with VA and non-VA
providers and care coordination among VA and non-VA providers. The patient experience measures were
collected for the VA PCPs or Patient Aligned Care Teams (PACTs), VA specialists, and non-VA providers who
Veterans saw most often. A PACT includes a PCP, nurse care manager, clinical associate, and administrative
clerk.
These estimates represent average annual estimates for the 2018–2019 period. Only differences that are
statistically significant at the 0.10 level or better are described in the text unless otherwise noted.
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Findings
Sociodemographic characteristics of Veterans by VA coverage (table 1a)
The average annual population of non-institutionalized Veterans was 16.4 million during the 2-year period
2018–2019 (table 1a), as estimated by MEPS1. Among all Veterans, 62.4
percent (10.2 million) did not have VA coverage and 37.6 percent (6.2 million) had VA coverage (table 1a).
There was no significant difference between Veterans with and without VA coverage in terms of sex and
region. Veterans with VA coverage were significantly more likely to be in the youngest age group; 10.5
percent of Veterans with VA coverage were 18-34 years old, compared with 6.9 percent of Veterans without VA
coverage. The majority of Non-Hispanic White Veterans did not have VA coverage; 35.5 percent had VA coverage
and 64.5 percent did not have VA coverage. In contrast, Non-Hispanic Black Veterans were more likely than
not to have VA coverage; 52.1 percent had VA coverage and 47.9 percent did not have VA coverage (results not
shown). Those with VA coverage were less likely to have private health insurance and more likely to have
public health insurance than Veterans without VA coverage. Those with higher income, with higher education,
living in the South Atlantic region, and living in metropolitan areas were less likely to have VA coverage.
Veterans with worse physical and mental health were more likely to have VA coverage. The differences in
sociodemographic characteristics were similar for male Veterans with VA coverage and male Veterans without
VA coverage.
Sociodemographic characteristics of males by Veteran status (table 1b)
Veteran men account for 8.6 percent of the male population age 18 and above (table 1b). Veteran men are
older than non-Veteran men; 55.2 percent of Veteran men are 65 years or older, compared with 16.8 percent of
non-Veteran men. Compared with the general male population, Veteran men are more likely to be non-Hispanic
White and less likely to be non-Hispanic Asian and Hispanic. Among the elderly, Veteran men are more likely
to have Medicare and private coverage than non-Veteran men. Veteran men are more likely to have some college
education and less likely to have incomes below the Federal poverty level. Veteran men are less likely to
live in the Northeast and in metropolitan areas and more likely to live in the South than the civilian male
population. Veteran men are also more likely to report fair/poor physical and mental health than non-Veteran
men.
Sociodemographic characteristics of all Veterans by gender (table 1c)
Veteran women account for 8.9 percent of the Veteran population (table 1c). They are younger than Veteran
men; only 26.5 percent of women Veterans are aged 65 or older, compared with 53.6 percent of Veteran men.
Compared with Veteran men, Veteran women are less likely to be non-Hispanic White and more likely to be
non-Hispanic Black. Veteran women are more likely to have private health insurance, have some college
education, live in the South Atlantic region, and have better self-reported physical health than Veteran
men. There was no significant difference between male and female Veterans in terms of poverty level, region,
urbanicity, and self-reported mental health.
Prevalence of selected medical conditions common among Veterans by VA coverage (table 2a)
Fifteen conditions were selected based on the recommendations of an expert panel, including conditions that
have a higher prevalence among Veterans than in the non-Veteran population. For each condition, the VSAQ
asked if the Veterans had ever been told by a doctor or another healthcare provider that they have had the
condition. The 15 conditions include four general conditions, seven musculoskeletal conditions, and four
mental health conditions. One musculoskeletal and three mental health conditions were removed from the
analysis because their low prevalence made estimation problematic. "Any mental health diagnosis" includes
schizophrenia, bipolar disorder, depression, and other mood disorder. Eleven conditions—COPD, hearing loss,
back pain, gout, neck pain, osteoarthritis, alcohol abuse, any mental health condition, depression, other
mood disorders, and post-traumatic stress disorder (PTSD)—were more prevalent among Veterans with VA
coverage than Veterans without VA coverage (table 2a).
Prevalence of selected medical condition common among males by Veteran status (table 2b)
Due to potential differences in the prevalence of health conditions by gender, in this section we focus on
the prevalence of selected medical conditions among Veteran and non-Veteran men. The sample size was too
small for an accurate comparison of Veteran and non-Veteran women. This section presents priority conditions
collected in the non-VSAQ sections of the MEPS questionnaire. The conditions are selected because of their
high prevalence and/or cost. For each condition, MEPS respondents were asked if they had ever been told by a
doctor or another heath care provider that they have had the condition. The prevalence of the following
conditions were higher among Veteran men than non-Veteran men: coronary heart disease, angina, heart attack,
other heart disease, any heart disease, stroke, arthritis, cancer, chronic bronchitis, diabetes, emphysema,
high blood pressure, high cholesterol, and joint pain. Similarly, the prevalence of the following
limitations were higher among Veteran men than non-Veteran men: limitations with instrumental activities of
daily living (IADL); limitations with activities of daily living (ADL); cognitive limitations; limitations
with work, housework, or school; any limitations; serious difficulty hearing; and serious difficulty seeing
with glasses (table 2b). All of these conditions, with the exception of limitations with IADL and ADL, were
statistically more prevalent in non-elderly Veteran men than non-elderly non-Veteran men. In elderly men,
the following conditions were more prevalent in Veterans than non-Veterans: coronary heart disease, angina,
heart attack, other heart disease, any heart disease; stroke; cancer; diabetes; emphysema; limitations with
IADL; limitations with work, housework, or school; any imitations; and serious difficulty hearing (results
not shown).
Number and percentage of Veterans with only VA, only non-VA, and both VA and non-VA healthcare use by VA
coverage (table 3)
Among all Veterans, 83.0 percent had at least one healthcare visit, 10.2 percent had only VA care visits,
55.0 percent had only non-VA care visits, and 17.8 percent had both VA and non-VA care visits in the past 12
months (table 3). Probability of any use was higher among elderly Veterans (87.7%) than non-elderly Veterans
(77.6%) (results not shown). Veterans with VA coverage were more likely to have any healthcare visits than
those without VA coverage (88.6 percent and 79.6 percent, respectively). Among those with VA coverage, 24.7
percent had VA care only within the calendar year, 26.1 percent had non-VA care only, and 37.8 percent had
both VA and non-VA care. Among those without VA coverage, 1.5 percent had VA care only within the calendar
year, 72.4 percent had non-VA care only, and 5.8 percent had both VA and non-VA care. VA coverage was
reported for the calendar year 2018 or 2019, whereas the VSAQ collected data on care in the "past 12
months," which may account for VA use among Veterans without VA coverage.
Use of selected health services common among Veterans (table 4)
The VSAQ collected data on the use of seven selected health services and whether they were received from
the VA or outside of the VA since discharge from military service. These services are caregiver support,
group counseling for mental healthcare, individual mental healthcare, assistive mobility device, prosthesis,
rehabilitation services, and prescription medications. For all seven types of services, Veterans with VA
coverage were more likely to have any care and more likely to have VA services only. Among Veterans with VA
coverage, 20.8 percent had any individual mental healthcare and 17.1 percent had VA care only (table 4).
Among Veterans without VA coverage, 8.5 percent had any individual mental healthcare and 5.7 percent had
non-VA care only. Among Veterans with VA coverage, 69.2 percent had any prescription medications and 51.9
percent had VA prescription medications only. Among Veterans without VA coverage, 46.2 percent had any
prescription medications and 39.3 percent had non-VA prescription medications only. For these seven
services, most Veterans either used VA care only or non-VA care only. Among Veterans with VA coverage, the
majority used only VA care for these services. Prescription medications had the highest rate of both VA and
non-VA care use among Veterans. Among Veterans with VA coverage, 6.6 percent obtained prescription
medications both from the VA and from non-VA sources.
Importance of factors for choosing a primary care provider (table 5)
As shown in table 5, among Veterans with VA coverage, the top three major factors in choosing a PCP were
the reputation of the personal doctor (ranked as major by 44.9 percent), whether the doctor understands the
special needs of Veterans (41.1 percent), and whether the doctor is in their health plan's network (39.6
percent). Among Veterans without VA coverage, the top three major factors were whether the doctor is in
their health plan's network (52.3 percent), the reputation of the personal doctor (50.8 percent), and the
location of the doctor's practice (39.6 percent). Whether the doctor understands the special needs of
Veterans was significantly more important for Veterans with VA coverage than those without VA coverage; 41.1
percent and 18.8 percent ranked it as a major factor, respectively.
Patient experience with VA primary care provider or Patient Aligned Care Team (table 6)
Patient experience with providers is presented in tables 6, 7, and 8. The questions concern healthcare
received within the past 12 months. Among all Veterans visiting a VA PCP/PACT in the past 12 months, 67.6
percent reported that their VA PCP/PACT provider "always" knew about their past health problems and
treatments, 41.1 percent reported that their VA PCP/PACT provider "always" knew about tests or results from
other VA providers, and 70.2 percent reported that their VA PCP/PACT provider "always" kept health
information complete and up to date (table 6). Among all Veterans visiting a VA PCP/PACT who needed their
medical records, 54.9 percent reported that they "always" got their medical records from their VA PCP/PACT
provider as soon as they needed them. Among all Veterans visiting a VA PCP/PACT who needed a referral, 44.6
percent reported that they "always" got a referral to see non-VA providers from their VA PCP/PACT provider
as soon as they needed it. On all five measures, elderly Veterans were significantly more likely to rate
their patient experience higher than non-elderly Veterans (results not shown).
Patient experience with non-VA providers (table 7)
Among all Veterans visiting a non-VA provider, 50.6 percent reported that their non-VA provider "always"
knew about their past health problems and treatments and 62.2 percent reported that their non-VA provider
"always" kept health information complete and up to date (table 7). Among all Veterans visiting a non-VA
provider who needed their medical records, 41.2 percent reported that they "always" got their medical
records from their non-VA provider as soon as they needed it. On all three measures, elderly Veterans were
significantly more likely to rate their patient experience higher than non-elderly Veterans (results not
shown).
Patient experience with VA specialists (table 8)
Among all Veterans with care from a VA specialist, 90.1 percent reported that the VA specialist had enough
information about their medical history (table 8). This satisfaction rate was significantly higher among
elderly Veterans than non-elderly Veterans (94.1 percent and 86.2 percent, respectively).
Number and percent of Veterans with health care use from multiple types of providers (table 9)
The VSAQ collected data on patients who visited three types of providers, VA PCP/PACT, VA specialist, and
non-VA providers. Patient experience questions regarding care coordination between VA and non-VA providers
are relevant only to Veterans who received care from VA and non-VA providers. Similarly, obtaining medical
records and getting referrals to non-VA providers are only relevant for a subset of Veterans. Therefore,
table 9 presents the number and percentage of Veterans with healthcare visits by type of provider, with
multiple provider types, who asked for their medical records, and who needed referrals to non-VA providers
from a VA PCP/PACT. Among all Veterans, 23.5 percent had at least one visit with a VA PCP, 14.5 percent had
at least one visit with a VA specialist, and 72.8 percent had at least one visit with a non-VA provider.
Among all Veterans, 14.8 percent had visits with both a VA PCP and a non-VA provider, and 9.8 percent had
visits with both a VA specialist and a non-VA provider. Among all Veterans, 20.8 percent had healthcare from
at least two types of providers. Among all Veterans, 5.1 percent asked for his/her medical records from a VA
PCP/PACT, and 17.1 percent asked for his/her medical records from a non-VA provider. Among all Veterans, 7.6
percent needed referral from a VA PCP/PACT to see a non-VA provider.
Care coordination between VA and non-VA providers (table 10)
Among Veterans with care from both a VA PCP/PACT and a non-VA provider, 63.2 percent said their VA PCP/PACT
was aware of their healthcare services outside the VA. Among Veterans with care from both a VA specialist
and a non-VA provider, 40.8 percent said their VA specialist was aware of healthcare services they received
outside the VA. Among Veterans with care from both a VA provider and a non-VA provider, 64.8 percent said
their non-VA provider was aware of healthcare services they received at the VA.
Care coordination problems between VA and non-VA providers (table 11)
Among Veterans who received care from both a VA PCP/PACT and a non-VA provider but whose VA PCP/PACT was
not aware of the services from the non-VA provider, 83.0 percent reported that the lack of awareness was not
a problem. Among Veterans who received care from both a VA specialist and a non-VA provider but whose VA
specialist was not aware of the services from the non-VA provider, 89.6 percent reported that the lack of
awareness was not a problem. Among Veterans who received care from both a non-VA provider and a VA provider
but whose non-VA provider was not aware of the services received at the VA, 84.2 percent reported that the
lack of awareness was not a problem.
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Data Source
The estimates in the research findings are based on data from the MEPS 2018 and 2019 Full Year Consolidated
Data Files (HC-209, HC-216).
These files are available at
https://meps.ahrq.gov/mepsweb/data_stats/download_data_files.jsp . The MSA variable is available
through the AHRQ Data Center.
The VSAQ was fielded during Panel 22 Round 5, Panel 23 Round 3, and Panel 24 Round 1. The VSAQ data for
Panels 22 and 23 were included in the 2018 FY file with weight VSAQW18F, and the data for Panels 23 and 24
were included in the 2019 FY file with weight VSAQW19F. The data for these three panels were combined to
produce more accurate estimates of VSAQ variables. This was done by pooling 2018 FY and 2019 FY files and
dividing each year's VSAQ weight by 2 to derive a VSAQ weight for the pooled file, as is done in the usual
2-year pooling of MEPS FY files. However, for variance estimation, the common variance structure was
obtained from the pooled linkage public use file HC-036.
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Definitions
Veterans Veterans are defined as people who reported as having been honorably discharged
from active duty in the Armed Forces.
Health insurance status Individuals ages 18-64 were classified in the following three
insurance categories based on household responses to health insurance status questions:
- Any private health insurance: Individuals who, at any time during the year, had insurance that
provided coverage for hospital and physician care (other than Medicare, Medicaid, or other public
hospital/physician coverage) were classified as having private insurance. Coverage by TRICARE (Armed
Forces-related coverage) was treated as private health insurance coverage. Insurance that provided
coverage for a single service only, such as dental or vision coverage, was not included.
- Public coverage only: Individuals were considered to have public coverage only if they met
both of the following criteria: (1) they were not covered by private insurance at any time during the year
and (2) they were covered by any of the following public programs at any point during the year: Medicare,
Medicaid, or other public hospital/physician coverage.
- Uninsured: The uninsured were defined as people not covered by private hospital/physician
insurance, Medicare, TRICARE, Medicaid, or other public hospital/physician programs at any time during the
entire year or period of eligibility for the survey.
Individuals ages 65 and over were classified in the following three insurance categories based on household
responses to health insurance status questions:
- Medicare only (65+): Individuals who are 65 years old or more and are covered by Medicare only.
- Medicare and private (65+): Individuals who are 65 years old or more and are covered by
Medicare and private insurance or TRICARE/CHAMPVA.
- Medicare and other public only (65+): Individuals who are 65 years old or more and are covered
by Medicare and Medicaid/SCHIP or another public program.
Race/Ethnicity Classification by race/ethnicity is 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 people
whose main national origin or ancestry was reported as being in one of these Hispanic groups, regardless of
racial background, were classified as Hispanic. All other people were classified according to their reported
race. For this analysis, the following classification by race/ethnicity was used: Hispanic (any race), Black
non-Hispanic only, White/other.
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About the Medical Expenditure Panel Survey-Household Component The Medical
Expenditure Panel Survey-Household Component (MEPS-HC) collects nationally representative data on healthcare
use, expenditures, sources of payment, and insurance coverage for the U.S. civilian non-institutionalized
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 MEPS-HC can be found on the MEPS website
at https://www.meps.ahrq.gov/.
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Suggested Citation Bernard D, Woodroffe A, Liu S. Understanding Veterans' Healthcare
Needs, 2018–2019. Research Findings #50. Rockville, MD: Agency for Healthcare Research and Quality; November
2022. https://meps.ahrq.gov/data_files/publications/rf50/rf50.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 healthcare 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 W. Cohen, PhD, Director Center for Financing, Access and Cost
Trends Agency for Healthcare Research and Quality 5600 Fishers Lane, Mailstop 07W41A
Rockville, MD 20857
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Table 1a. Sociodemographic characteristics of Veterans by VA coverage, 2018–2019
Coverage |
Veterans |
VA Coverage |
No VA Coverage |
Sociodemographic characteristics |
n |
Population (in thousands) (SE) |
Percent (SE) |
n |
Population (in thousands) (SE) |
Percent (SE) |
n |
Population (in thousands) (SE) |
Percent (SE) |
All Veterans |
2,295 |
16,388 |
100.0% |
887 |
6,158 |
37.6% |
1,408 |
10,230 |
62.4% *** |
|
(751) |
(0.0) |
|
(328) |
(1.3) |
|
(544) |
(1.3) |
|
|
|
|
|
|
|
|
|
Sex |
|
|
|
|
|
|
|
|
|
Male |
2,087 |
14,923 |
91.1 |
815 |
5,695 |
92.5 |
1,272 |
9,228 |
90.2 |
|
|
(680) |
(0.8) |
|
(308) |
(1.2) |
|
(492) |
(1.0) |
Female |
208 |
1,465 |
8.9 |
72 |
463 |
7.5 |
136 |
1,002 |
9.8 |
|
|
(154) |
(0.8) |
|
(78) |
(1.2) |
|
(122) |
(1.0) |
|
|
|
|
|
|
|
|
|
|
Age |
|
|
|
|
|
|
|
|
|
18-34 |
147 |
1,357 |
8.3 |
68 |
649 |
10.5 |
79 |
708 |
6.9 * |
|
|
(200) |
(1.1) |
|
(109) |
(1.6) |
|
(124) |
(1.1) |
35-44 |
182 |
1,463 |
8.9 |
60 |
512 |
8.3 |
122 |
951 |
9.3 |
|
|
(162) |
(0.8) |
|
(95) |
(1.5) |
|
(126) |
(1.1) |
45-54 |
275 |
2,190 |
13.4 |
104 |
794 |
12.9 |
171 |
1,397 |
13.7 |
|
|
(192) |
(1.0) |
|
(109) |
(1.6) |
|
(148) |
(1.2) |
55-64 |
395 |
2,984 |
18.2 |
151 |
1,077 |
17.5 |
244 |
1,907 |
18.6 |
|
|
(229) |
(1.2) |
|
(120) |
(1.8) |
|
(175) |
(1.5) |
65+ |
1,296 |
8,392 |
51.2 |
504 |
3,126 |
50.8 |
792 |
5,266 |
51.5 |
|
|
(430) |
(1.7) |
|
(228) |
(2.5) |
|
(309) |
(1.9) |
|
|
|
|
|
|
|
|
|
|
Race and ethnicity |
|
|
|
|
|
|
|
|
|
Non-Hispanic White |
1,760 |
12,657 |
77.2 |
641 |
4,496 |
73.0 |
1,119 |
8,161 |
79.8 ** |
|
|
(638) |
(1.4) |
|
(290) |
(2.2) |
|
(461) |
(1.5) |
Non-Hispanic Black |
295 |
1,799 |
11.0 |
158 |
937 |
15.2 |
137 |
862 |
8.4 *** |
|
|
(183) |
(1.0) |
|
(105) |
(1.6) |
|
(119) |
(1.0) |
Non-Hispanic Asian |
35 |
282 |
1.7 |
9 |
85 |
1.4 |
26 |
197 |
1.9 |
|
|
(71) |
(0.4) |
|
(61) |
(1.0) |
|
(41) |
(0.4) |
Hispanic (all races) |
120 |
1,056 |
6.4 |
48 |
453 |
7.4 |
72 |
603 |
5.9 |
|
|
(137) |
(0.8) |
|
(84) |
(1.4) |
|
(91) |
(0.8) |
Non-Hispanic other or multiple race |
85 |
593 |
3.6 |
31 |
186 |
3.0 |
54 |
407 |
4.0 |
|
|
(88) |
(0.5) |
|
(44) |
(0.7) |
|
(73) |
(0.7) |
|
|
|
|
|
|
|
|
|
|
Insurance coverage (ages 18-64) |
|
|
|
|
|
|
|
|
|
Any private |
745 |
6,156 |
77.0 |
223 |
1,890 |
62.3 |
522 |
4,266 |
85.9 *** |
|
|
(373) |
(1.6) |
|
(162) |
(3.1) |
|
(295) |
(1.9) |
Public only |
215 |
1,535 |
19.2 |
160 |
1,142 |
37.7 |
55 |
392 |
7.9 *** |
|
|
(142) |
(1.6) |
|
(124) |
(3.1) |
|
(61) |
(1.3) |
Uninsured |
39 |
305 |
3.8 |
0 |
0 |
0.0 |
39 |
305 |
6.1 *** |
|
|
(72) |
(0.9) |
|
(0) |
(0.0) |
|
(72) |
(1.4) |
|
|
|
|
|
|
|
|
|
|
Insurance coverage (ages 65+) 1
|
|
|
|
|
|
|
|
|
|
Medicare only |
265 |
1,740 |
20.7 |
0 |
0 |
0.0 |
265 |
1,740 |
33.0 *** |
|
|
(158) |
(1.5) |
|
(0) |
(0.0) |
|
(158) |
(2.3) |
Medicare and private |
761 |
4,979 |
59.3 |
256 |
1,570 |
50.2 |
505 |
3,409 |
64.7 *** |
|
|
(276) |
(1.8) |
|
(124) |
(2.5) |
|
(231) |
(2.3) |
Medicare and other public only |
262 |
1,612 |
19.2 |
242 |
1,508 |
48.2 |
20 |
104 |
2.0 *** |
|
|
(135) |
(1.3) |
|
(132) |
(2.5) |
|
(27) |
(0.5) |
|
|
|
|
|
|
|
|
|
|
Poverty level |
|
|
|
|
|
|
|
|
|
Under 100% FPL |
176 |
1,169 |
7.1 |
94 |
621 |
10.1 |
82 |
548 |
5.4 *** |
|
|
(110) |
(0.6) |
|
(85) |
(1.3) |
|
(81) |
(0.8) |
100% to 199% FPL |
340 |
2,454 |
15.0 |
171 |
1,207 |
19.6 |
169 |
1,246 |
12.2 *** |
|
|
(198) |
(1.0) |
|
(98) |
(1.3) |
|
(132) |
(1.1) |
200% to 399% FPL |
687 |
4,705 |
28.7 |
319 |
2,098 |
34.1 |
368 |
2,607 |
25.5 *** |
|
|
(321) |
(1.2) |
|
(198) |
(2.3) |
|
(215) |
(1.4) |
400% FPL and over |
1,092 |
8,061 |
49.2 |
303 |
2,232 |
36.2 |
789 |
5,829 |
57.0 *** |
|
|
(426) |
(1.5) |
|
(167) |
(2.2) |
|
(351) |
(1.7) |
|
|
|
|
|
|
|
|
|
|
Education level |
|
|
|
|
|
|
|
|
|
Less than high school |
142 |
883 |
5.4 |
72 |
468 |
7.6 |
70 |
415 |
4.1 *** |
|
|
(113) |
(0.6) |
|
(82) |
(1.2) |
|
(66) |
(0.6) |
High school or GED |
695 |
4,706 |
28.8 |
305 |
2,013 |
32.8 |
390 |
2,693 |
26.4 ** |
|
|
(304) |
(1.4) |
|
(190) |
(2.4) |
|
(198) |
(1.6) |
Some college |
1,453 |
10,754 |
65.8 |
507 |
3,658 |
59.6 |
946 |
7,096 |
69.5 *** |
|
|
(548) |
(1.4) |
|
(223) |
(2.3) |
|
(436) |
(1.7) |
|
|
|
|
|
|
|
|
|
|
Census division |
|
|
|
|
|
|
|
|
|
New England |
117 |
615 |
3.8 |
41 |
218 |
3.6 |
76 |
397 |
3.9 |
|
|
(135) |
(0.8) |
|
(59) |
(1.0) |
|
(98) |
(0.9) |
Middle Atlantic |
194 |
1,381 |
8.5 |
73 |
527 |
8.7 |
121 |
853 |
8.4 |
|
|
(183) |
(1.1) |
|
(79) |
(1.3) |
|
(150) |
(1.4) |
East North Central |
284 |
2,084 |
12.8 |
116 |
832 |
13.7 |
168 |
1,252 |
12.4 |
|
|
(198) |
(1.2) |
|
(102) |
(1.6) |
|
(137) |
(1.3) |
West North Central |
211 |
1,327 |
8.2 |
108 |
618 |
10.1 |
103 |
709 |
7.0 |
|
|
(158) |
(1.0) |
|
(114) |
(1.8) |
|
(77) |
(0.8) |
South Atlantic |
517 |
3,973 |
24.5 |
156 |
1,089 |
17.9 |
361 |
2,884 |
28.5 *** |
|
|
(417) |
(2.1) |
|
(144) |
(2.1) |
|
(320) |
(2.5) |
East South Central |
174 |
1,322 |
8.2 |
86 |
629 |
10.3 |
88 |
694 |
6.8 * |
|
|
(207) |
(1.2) |
|
(94) |
(1.5) |
|
(146) |
(1.4) |
West South Central |
205 |
1,612 |
9.9 |
97 |
682 |
11.2 |
108 |
931 |
9.2 |
|
|
(282) |
(1.6) |
|
(149) |
(2.2) |
|
(185) |
(1.7) |
Mountain |
272 |
1,867 |
11.5 |
107 |
814 |
13.4 |
165 |
1,053 |
10.4 |
|
|
(285) |
(1.6) |
|
(125) |
(1.9) |
|
(196) |
(1.8) |
Pacific |
295 |
2,036 |
12.6 |
92 |
682 |
11.2 |
203 |
1,354 |
13.4 |
|
|
(215) |
(1.3) |
|
(96) |
(1.5) |
|
(168) |
(1.6) |
|
|
|
|
|
|
|
|
|
|
Region |
|
|
|
|
|
|
|
|
|
Northeast |
319 |
2,054 |
12.5 |
116 |
753 |
12.2 |
203 |
1,301 |
12.7 |
|
|
(235) |
(1.4) |
|
(101) |
(1.6) |
|
(182) |
(1.7) |
Midwest |
499 |
3,432 |
20.9 |
226 |
1,462 |
23.7 |
273 |
1,970 |
19.3 |
|
|
(254) |
(1.5) |
|
(155) |
(2.2) |
|
(158) |
(1.6) |
South |
902 |
6,945 |
42.4 |
342 |
2,418 |
39.3 |
560 |
4,527 |
44.3 |
|
|
(557) |
(2.3) |
|
(229) |
(2.7) |
|
(402) |
(2.7) |
West |
575 |
3,956 |
24.1 |
203 |
1,525 |
24.8 |
372 |
2,431 |
23.8 |
|
|
(356) |
(1.9) |
|
(150) |
(2.2) |
|
(264) |
(2.2) |
|
|
|
|
|
|
|
|
|
|
Urbanicity |
|
|
|
|
|
|
|
|
|
Metropolitan area |
1,827 |
13,253 |
81.7 |
642 |
4,558 |
74.8 |
1,185 |
8,696 |
85.9 *** |
|
|
(676) |
(1.7) |
|
(278) |
(2.4) |
|
(504) |
(1.7) |
Non-metropolitan, adjacent |
262 |
1,791 |
11.0 |
122 |
817 |
13.4 |
140 |
974 |
9.6 |
|
|
(301) |
(1.8) |
|
(151) |
(2.4) |
|
(186) |
(1.8) |
Non-metropolitan, non-adjacent |
180 |
1,173 |
7.2 |
112 |
715 |
11.7 |
68 |
457 |
4.5 ** |
|
|
(263) |
(1.6) |
|
(165) |
(2.6) |
|
(120) |
(1.2) |
|
|
|
|
|
|
|
|
|
|
Self-reported physical health |
|
|
|
|
|
|
|
|
|
Excellent/very good |
1,142 |
8,299 |
50.6 |
367 |
2,627 |
42.7 |
775 |
5,672 |
55.5 *** |
|
|
(435) |
(1.3) |
|
(196) |
(2.2) |
|
(340) |
(1.5) |
Good |
733 |
5,116 |
31.2 |
310 |
2,117 |
34.4 |
423 |
2,999 |
29.3 ** |
|
|
(299) |
(1.2) |
|
(157) |
(2.0) |
|
(214) |
(1.4) |
Fair/poor |
420 |
2,972 |
18.1 |
210 |
1,414 |
23.0 |
210 |
1,558 |
15.2 *** |
|
|
(220) |
(1.0) |
|
(129) |
(1.6) |
|
(147) |
(1.2) |
|
|
|
|
|
|
|
|
|
|
Self-reported mental health |
|
|
|
|
|
|
|
|
|
Excellent/very good |
1,395 |
10,045 |
61.3 |
463 |
3,357 |
54.5 |
932 |
6,687 |
65.4 *** |
|
|
(513) |
(1.3) |
|
(214) |
(2.0) |
|
(403) |
(1.6) |
Good |
645 |
4,569 |
27.9 |
292 |
1,914 |
31.1 |
353 |
2,655 |
26.0 ** |
|
|
(278) |
(1.1) |
|
(152) |
(1.8) |
|
(193) |
(1.4) |
Fair/poor |
255 |
1,774 |
10.8 |
132 |
887 |
14.4 |
123 |
887 |
8.7 *** |
|
|
(167) |
(0.9) |
|
(105) |
(1.5) |
|
(110) |
(1.0) |
|
|
|
|
|
|
|
|
|
|
Source: Medical Expenditure Panel Survey-Household Component, 2018 and
2019.
Note: Standard errors are in parentheses. *, **, and *** indicate that the differences from
Veterans with VA coverage are significant at the p<0.10, p<0.05, and p<0.01 levels, respectively.
Abbreviations: n=unweighted count; SE=standard error; FPL=Federal Poverty Level;
GED=Graduate Equivalency Degree.
1. Results for elderly with no Medicare coverage are not presented due to sample size
restrictions. Therefore, the population by insurance coverage for the elderly will not add up to the
population total.
|
Table 1b. Sociodemographic characteristics of males by Veteran status, 2018–2019
Veteran status |
All males |
Male Veterans |
Male non-Veterans |
Sociodemographic characteristics |
n |
Population (in thousands) (SE) |
Percent (SE) |
n |
Population (in thousands) (SE) |
Percent (SE) |
n |
Population (in thousands) (SE) |
Percent (SE) |
All males |
20,192 |
121,813 |
100.0% |
2,087 |
10,534 |
8.6% |
18,105 |
111,279 |
91.4% *** |
|
(3,707) |
(0.0) |
|
(500) |
(0.4) |
|
(3,486) |
(0.4) |
|
|
|
|
|
|
|
|
|
Age |
|
|
|
|
|
|
|
|
|
18-34 |
5,337 |
37,059 |
30.4 |
129 |
732 |
7.0 |
5,208 |
36,327 |
32.6 *** |
|
|
(1,296) |
(0.5) |
|
(100) |
(0.9) |
|
(1,287) |
(0.6) |
35-44 |
3,253 |
20,177 |
16.6 |
151 |
830 |
7.9 |
3,102 |
19,348 |
17.4 *** |
|
|
(851) |
(0.4) |
|
(90) |
(0.8) |
|
(831) |
(0.4) |
45-54 |
3,230 |
20,020 |
16.4 |
223 |
1,377 |
13.1 |
3,007 |
18,643 |
16.8 *** |
|
|
(762) |
(0.4) |
|
(133) |
(1.0) |
|
(725) |
(0.4) |
55-64 |
3,475 |
20,014 |
16.4 |
345 |
1,778 |
16.9 |
3,130 |
18,236 |
16.4 |
|
|
(814) |
(0.4) |
|
(152) |
(1.2) |
|
(775) |
(0.4) |
65+ |
4,897 |
24,543 |
20.1 |
1,239 |
5,816 |
55.2 |
3,658 |
18,727 |
16.8 *** |
|
|
(840) |
(0.5) |
|
(309) |
(1.7) |
|
(686) |
(0.4) |
|
|
|
|
|
|
|
|
|
|
Race and ethnicity |
|
|
|
|
|
|
|
|
|
Non-Hispanic White |
11,714 |
76,642 |
62.9 |
1,635 |
8,388 |
79.6 |
10,079 |
68,254 |
61.3 *** |
|
|
(2,668) |
(1.0) |
|
(437) |
(1.4) |
|
(2,439) |
(1.0) |
Non-Hispanic Black |
2,667 |
13,613 |
11.2 |
245 |
1,088 |
10.3 |
2,422 |
12,525 |
11.3 |
|
|
(749) |
(0.5) |
|
(122) |
(1.1) |
|
(703) |
(0.6) |
Non-Hispanic Asian |
1,053 |
7,205 |
5.9 |
34 |
196 |
1.9 |
1,019 |
7,009 |
6.3 *** |
|
|
(614) |
(0.4) |
|
(55) |
(0.5) |
|
(616) |
(0.5) |
Hispanic (all races) |
4,118 |
20,586 |
16.9 |
99 |
524 |
5.0 |
4,019 |
20,062 |
18.0 *** |
|
|
(1,198) |
(0.9) |
|
(82) |
(0.8) |
|
(1,199) |
(0.9) |
Non-Hispanic other or multiple race |
640 |
3,767 |
3.1 |
74 |
338 |
3.2 |
566 |
3,429 |
3.1 |
|
|
(259) |
(0.2) |
|
(55) |
(0.5) |
|
(258) |
(0.2) |
|
|
|
|
|
|
|
|
|
|
Insurance coverage (ages 18-64) |
|
|
|
|
|
|
|
|
|
Any private |
10,608 |
72,526 |
74.6 |
624 |
3,575 |
75.8 |
9,984 |
68,950 |
74.5 |
|
|
(2,618) |
(0.8) |
|
(252) |
(1.9) |
|
(2,554) |
(0.8) |
Public only |
2,674 |
13,436 |
13.8 |
187 |
946 |
20.1 |
2,487 |
12,490 |
13.5 *** |
|
|
(622) |
(0.6) |
|
(99) |
(1.8) |
|
(597) |
(0.6) |
Uninsured |
2,013 |
11,309 |
11.6 |
37 |
196 |
4.2 |
1,976 |
11,113 |
12.0 *** |
|
|
(575) |
(0.5) |
|
(47) |
(0.9) |
|
(572) |
(0.5) |
|
|
|
|
|
|
|
|
|
|
Insurance coverage (ages 65+) 1
|
|
|
|
|
|
|
|
|
|
Medicare only |
1,550 |
7,905 |
32.2 |
255 |
1,212 |
20.8 |
1,295 |
6,693 |
35.7 *** |
|
|
(365) |
(0.9) |
|
(115) |
(1.6) |
|
(331) |
(1.1) |
Medicare and private |
2,366 |
12,360 |
50.4 |
719 |
3,425 |
58.9 |
1,647 |
8,935 |
47.7 *** |
|
|
(483) |
(1.0) |
|
(205) |
(1.8) |
|
(394) |
(1.2) |
Medicare and other public only |
889 |
3,798 |
15.5 |
257 |
1,139 |
19.6 |
632 |
2,659 |
14.2 *** |
|
|
(214) |
(0.7) |
|
(104) |
(1.4) |
|
(174) |
(0.8) |
|
|
|
|
|
|
|
|
|
|
Poverty level |
|
|
|
|
|
|
|
|
|
Under 100% FPL |
2,375 |
10,919 |
9.0 |
154 |
625 |
5.9 |
2,221 |
10,293 |
9.2 *** |
|
|
(455) |
(0.3) |
|
(66) |
(0.6) |
|
(446) |
(0.3) |
100% to 199% FPL |
3,449 |
17,776 |
14.6 |
314 |
1,568 |
14.9 |
3,135 |
16,207 |
14.6 |
|
|
(651) |
(0.4) |
|
(128) |
(1.0) |
|
(610) |
(0.4) |
200% to 399% FPL |
5,944 |
34,821 |
28.6 |
627 |
3,042 |
28.9 |
5,317 |
31,779 |
28.6 |
|
|
(1,137) |
(0.5) |
|
(212) |
(1.3) |
|
(1,068) |
(0.6) |
400% FPL and over |
8,424 |
58,298 |
47.9 |
992 |
5,298 |
50.3 |
7,432 |
53,000 |
47.6 |
|
|
(2,298) |
(0.8) |
|
(293) |
(1.6) |
|
(2,184) |
(0.9) |
|
|
|
|
|
|
|
|
|
|
Education level |
|
|
|
|
|
|
|
|
|
Less than high school |
3,326 |
16,533 |
13.7 |
139 |
613 |
5.8 |
3,187 |
15,921 |
14.4 *** |
|
|
(754) |
(0.5) |
|
(80) |
(0.7) |
|
(744) |
(0.5) |
High school or GED |
6,444 |
35,425 |
29.3 |
661 |
3,040 |
28.9 |
5,783 |
32,386 |
29.4 |
|
|
(1,154) |
(0.6) |
|
(201) |
(1.4) |
|
(1,056) |
(0.6) |
Some college |
10,218 |
68,888 |
57.0 |
1,282 |
6,852 |
65.2 |
8,936 |
62,036 |
56.2 *** |
|
|
(2,449) |
(0.8) |
|
(360) |
(1.4) |
|
(2,313) |
(0.8) |
|
|
|
|
|
|
|
|
|
|
Census division |
|
|
|
|
|
|
|
|
|
New England |
944 |
5,434 |
4.5 |
108 |
408 |
3.9 |
836 |
5,026 |
4.5 |
|
|
(1,036) |
(0.8) |
|
(101) |
(0.9) |
|
(969) |
(0.8) |
Middle Atlantic |
2,276 |
15,517 |
12.8 |
180 |
899 |
8.6 |
2,096 |
14,618 |
13.2 *** |
|
|
(1,444) |
(1.1) |
|
(130) |
(1.2) |
|
(1,377) |
(1.1) |
East North Central |
2,863 |
17,848 |
14.7 |
262 |
1,300 |
12.5 |
2,601 |
16,547 |
14.9 |
|
|
(1,147) |
(0.9) |
|
(134) |
(1.3) |
|
(1,081) |
(0.9) |
West North Central |
1,412 |
7,569 |
6.2 |
199 |
881 |
8.4 |
1,213 |
6,688 |
6.0 ** |
|
|
(465) |
(0.4) |
|
(113) |
(1.1) |
|
(421) |
(0.4) |
South Atlantic |
4,032 |
24,149 |
19.9 |
445 |
2,515 |
24.1 |
3,587 |
21,634 |
19.5 * |
|
|
(1,636) |
(1.2) |
|
(277) |
(2.2) |
|
(1,481) |
(1.2) |
East South Central |
1,075 |
7,260 |
6.0 |
163 |
895 |
8.6 |
912 |
6,366 |
5.8 ** |
|
|
(435) |
(0.4) |
|
(147) |
(1.3) |
|
(395) |
(0.4) |
West South Central |
2,299 |
13,992 |
11.6 |
185 |
1,028 |
9.8 |
2,114 |
12,965 |
11.7 |
|
|
(1,603) |
(1.2) |
|
(174) |
(1.6) |
|
(1,505) |
(1.2) |
Mountain |
1,750 |
9,582 |
7.9 |
248 |
1,201 |
11.5 |
1,502 |
8,381 |
7.6 ** |
|
|
(1,169) |
(0.9) |
|
(182) |
(1.6) |
|
(1,074) |
(0.9) |
Pacific |
3,422 |
19,788 |
16.3 |
274 |
1,308 |
12.5 |
3,148 |
18,480 |
16.7 ** |
|
|
(1,238) |
(1.0) |
|
(158) |
(1.4) |
|
(1,248) |
(1.1) |
|
|
|
|
|
|
|
|
|
|
Region |
|
|
|
|
|
|
|
|
|
Northeast |
3,244 |
21,075 |
17.3 |
296 |
1,345 |
12.8 |
2,948 |
19,730 |
17.7 ** |
|
|
(1,796) |
(1.3) |
|
(166) |
(1.5) |
|
(1,702) |
(1.3) |
Midwest |
4,299 |
25,532 |
21.0 |
465 |
2,194 |
20.8 |
3,834 |
23,337 |
21.0 |
|
|
(1,239) |
(1.0) |
|
(175) |
(1.6) |
|
(1,164) |
(1.0) |
South |
7,454 |
45,698 |
37.5 |
798 |
4,462 |
42.4 |
6,656 |
41,236 |
37.1 * |
|
|
(2,358) |
(1.5) |
|
(363) |
(2.4) |
|
(2,174) |
(1.5) |
West |
5,195 |
29,509 |
24.2 |
528 |
2,533 |
24.0 |
4,667 |
26,976 |
24.2 |
|
|
(1,731) |
(1.3) |
|
(240) |
(2.0) |
|
(1,674) |
(1.3) |
|
|
|
|
|
|
|
|
|
|
Urbanicity |
|
|
|
|
|
|
|
|
|
Metropolitan area |
16,984 |
104,685 |
86.4 |
1,659 |
8,596 |
82.4 |
15,325 |
96,090 |
86.8 ** |
|
|
(3,563) |
(0.8) |
|
(454) |
(1.8) |
|
(3,365) |
(0.8) |
Non-metropolitan, adjacent |
1,895 |
9,939 |
8.2 |
239 |
1,092 |
10.5 |
1,656 |
8,847 |
8.0 |
|
|
(1,304) |
(1.1) |
|
(202) |
(1.9) |
|
(1,146) |
(1.1) |
Non-metropolitan, non-adjacent |
1,194 |
6,515 |
5.4 |
166 |
748 |
7.2 |
1,028 |
5,767 |
5.2 |
|
|
(1,369) |
(1.1) |
|
(179) |
(1.7) |
|
(1,225) |
(1.1) |
|
|
|
|
|
|
|
|
|
|
Self-reported physical health |
|
|
|
|
|
|
|
|
|
Excellent/very good |
11,371 |
72,588 |
59.7 |
1,026 |
5,251 |
49.8 |
10,345 |
67,337 |
60.6 *** |
|
|
(2,407) |
(0.5) |
|
(286) |
(1.3) |
|
(2,285) |
(0.5) |
Good |
6,058 |
34,576 |
28.4 |
667 |
3,353 |
31.8 |
5,391 |
31,224 |
28.1 *** |
|
|
(1,074) |
(0.4) |
|
(198) |
(1.2) |
|
(1,017) |
(0.4) |
Fair/poor |
2,738 |
14,506 |
11.9 |
394 |
1,931 |
18.3 |
2,344 |
12,576 |
11.3 *** |
|
|
(570) |
(0.3) |
|
(144) |
(1.0) |
|
(511) |
(0.3) |
|
|
|
|
|
|
|
|
|
|
Self-reported mental health |
|
|
|
|
|
|
|
|
|
Excellent/very good |
12,724 |
80,291 |
66.0 |
1,256 |
6,417 |
60.9 |
11,468 |
73,874 |
66.5 *** |
|
|
(2,622) |
(0.5) |
|
(341) |
(1.3) |
|
(2,479) |
(0.5) |
Good |
5,666 |
31,847 |
26.2 |
598 |
3,012 |
28.6 |
5,068 |
28,835 |
25.9 ** |
|
|
(1,045) |
(0.4) |
|
(188) |
(1.2) |
|
(990) |
(0.4) |
Fair/poor |
1,777 |
9,533 |
7.8 |
233 |
1,104 |
10.5 |
1,544 |
8,429 |
7.6 *** |
|
|
(395) |
(0.3) |
|
(111) |
(1.0) |
|
(369) |
(0.3) |
|
|
|
|
|
|
|
|
|
|
Source: Medical Expenditure Panel Survey-Household Component, 2018 and
2019.
Note: Standard errors are in parentheses. *, **, and *** indicate that the differences from
male Veterans are significant at the p<0.10, p<0.05, and p<0.01 levels, respectively.
Abbreviations: n=unweighted count; SE=standard error; FPL=Federal Poverty Level;
GED=Graduate Equivalency Degree.
1. Results for elderly with no Medicare coverage are not presented due to sample size
restrictions. Therefore, the population by insurance coverage for the elderly will not add up to the
population total.
|
Table 1c. Sociodemographic characteristics of all Veterans by gender, 2018 & 2019
Gender |
All Veterans |
Female Veterans |
Male Veterans |
Sociodemographic characteristics |
n |
Population (in thousands) (SE) |
Percent (SE) |
n |
Population (in thousands) (SE) |
Percent (SE) |
n |
Population (in thousands) (SE) |
Percent (SE) |
All Veterans |
2,295 |
16,388 |
100.0% |
208 |
1,465 |
8.9% |
2,087 |
14,923 |
91.1% *** |
(751) |
(0.0) |
(154) |
(0.8) |
(680) |
(0.8) |
Age |
|
|
|
|
|
|
|
|
|
18-34 |
147 |
1,357 |
8.3 |
18 |
177 |
12.1 |
129 |
1,180 |
7.9 |
(200) |
(1.1) |
(64) |
(3.9) |
(162) |
(1.0) |
35-44 |
182 |
1,463 |
8.9 |
31 |
257 |
17.6 |
151 |
1,206 |
8.1 ** |
(162) |
(0.8) |
(66) |
(3.8) |
(137) |
(0.8) |
45-54 |
275 |
2,190 |
13.4 |
52 |
332 |
22.6 |
223 |
1,859 |
12.5 *** |
(192) |
(1.0) |
(62) |
(3.6) |
(171) |
(1.0) |
55-64 |
395 |
2,984 |
18.2 |
50 |
310 |
21.2 |
345 |
2,674 |
17.9 |
(229) |
(1.2) |
(56) |
(3.7) |
(216) |
(1.2) |
65+ |
1,296 |
8,392 |
51.2 |
57 |
388 |
26.5 |
1,239 |
8,004 |
53.6 *** |
(430) |
(1.7) |
(74) |
(4.4) |
(409) |
(1.6) |
|
|
|
|
|
|
|
|
|
|
Race and ethnicity |
|
|
|
|
|
|
|
|
|
Non-Hispanic White |
1,760 |
12,657 |
77.2 |
125 |
913 |
62.4 |
1,635 |
11,744 |
78.7 *** |
(638) |
(1.4) |
(102) |
(4.2) |
(591) |
(1.4) |
Non-Hispanic Black |
295 |
1,799 |
11.0 |
50 |
327 |
22.3 |
245 |
1,472 |
9.9 *** |
(183) |
(1.0) |
(77) |
(4.1) |
(161) |
(1.0) |
Non-Hispanic Asian |
35 |
282 |
1.7 |
1 |
10 |
0.7 |
34 |
271 |
1.8 |
(71) |
(0.4) |
(10) |
(0.7) |
(70) |
(0.5) |
Hispanic (all races) |
120 |
1,056 |
6.4 |
21 |
125 |
8.5 |
99 |
931 |
6.2 |
(137) |
(0.8) |
(33) |
(2.1) |
(128) |
(0.8) |
Non-Hispanic other or multiple race
|
85 |
593 |
3.6 |
11 |
89 |
6.1 |
74 |
504 |
3.4 |
(88) |
(0.5) |
(33) |
(2.1) |
(79) |
(0.5) |
|
|
|
|
|
|
|
|
|
|
Insurance coverage (ages 18-64) |
|
|
|
|
|
|
|
|
|
Any private |
745 |
6,156 |
77.0 |
121 |
892 |
82.9 |
624 |
5,264 |
76.1 * |
(373) |
(1.6) |
(120) |
(3.7) |
(316) |
(1.8) |
Public only |
215 |
1,535 |
19.2 |
28 |
159 |
14.8 |
187 |
1,375 |
19.9 |
(142) |
(1.6) |
(38) |
(3.5) |
(135) |
(1.7) |
Uninsured |
39 |
305 |
3.8 |
2 |
25 |
2.3 |
37 |
280 |
4.1 |
(72) |
(0.9) |
(18) |
(1.6) |
(64) |
(0.9) |
|
|
|
|
|
|
|
|
|
|
Insurance coverage (ages 65+) 1
|
|
|
|
|
|
|
|
|
|
Medicare only |
265 |
1,740 |
20.7 |
10 |
65 |
16.7 |
255 |
1,675 |
20.9 |
|
(158) |
(1.5) |
(26) |
(6.3) |
(153) |
(1.5) |
Medicare and private |
761 |
4,979 |
59.3 |
42 |
295 |
75.9 |
719 |
4,684 |
58.5 ** |
|
(276) |
(1.8) |
(64) |
(6.7) |
(258) |
(1.8) |
Medicare and other public only |
262 |
1,612 |
19.2 |
5 |
29 |
7.4 |
257 |
1,583 |
19.8 *** |
(135) |
(1.3) |
(13) |
(3.2) |
(134) |
(1.4) |
|
|
|
|
|
|
|
|
|
|
Poverty level |
|
|
|
|
|
|
|
|
|
Under 100% FPL |
176 |
1,169 |
7.1 |
22 |
150 |
10.2 |
154 |
1,019 |
6.8 |
(110) |
(0.6) |
(40) |
(2.7) |
(106) |
(0.7) |
100% to 199% FPL |
340 |
2,454 |
15.0 |
26 |
183 |
12.5 |
314 |
2,270 |
15.2 |
(198) |
(1.0) |
(54) |
(3.4) |
(179) |
(1.0) |
200% to 399% FPL |
687 |
4,705 |
28.7 |
60 |
397 |
27.1 |
627 |
4,307 |
28.9 |
(321) |
(1.2) |
(68) |
(3.6) |
(292) |
(1.2) |
400% FPL and over |
1,092 |
8,061 |
49.2 |
100 |
734 |
50.1 |
992 |
7,326 |
49.1 |
(426) |
(1.5) |
(103) |
(4.5) |
(388) |
(1.5) |
|
|
|
|
|
|
|
|
|
|
Education level |
|
|
|
|
|
|
|
|
|
Less than high school |
142 |
883 |
5.4 |
3 |
17 |
1.1 |
139 |
866 |
5.8 *** |
(113) |
(0.6) |
(12) |
(0.8) |
(112) |
(0.7) |
High school or GED |
695 |
4,706 |
28.8 |
34 |
216 |
14.8 |
661 |
4,490 |
30.2 *** |
(304) |
(1.4) |
(50) |
(2.9) |
(288) |
(1.4) |
Some college |
1,453 |
10,754 |
65.8 |
171 |
1,232 |
84.1 |
1,282 |
9,522 |
64.0 *** |
(548) |
(1.4) |
(131) |
(2.9) |
(489) |
(1.4) |
|
|
|
|
|
|
|
|
|
|
Census division |
|
|
|
|
|
|
|
|
|
New England |
117 |
615 |
3.8 |
9 |
52 |
3.6 |
108 |
562 |
3.8 |
(135) |
(0.8) |
(27) |
(1.9) |
(123) |
(0.8) |
Middle Atlantic |
194 |
1,381 |
8.5 |
14 |
106 |
7.3 |
180 |
1,274 |
8.6 |
(183) |
(1.1) |
(40) |
(2.6) |
(173) |
(1.1) |
East North Central |
284 |
2,084 |
12.8 |
22 |
195 |
13.5 |
262 |
1,889 |
12.8 |
(198) |
(1.2) |
(65) |
(4.1) |
(184) |
(1.2) |
West North Central |
211 |
1,327 |
8.2 |
12 |
72 |
5.0 |
199 |
1,255 |
8.5 |
(158) |
(1.0) |
(29) |
(2.0) |
(151) |
(1.0) |
South Atlantic |
517 |
3,973 |
24.5 |
72 |
511 |
35.3 |
445 |
3,462 |
23.4 ** |
(417) |
(2.1) |
(96) |
(5.1) |
(368) |
(2.1) |
East South Central |
174 |
1,322 |
8.2 |
11 |
82 |
5.7 |
163 |
1,240 |
8.4 |
(207) |
(1.2) |
(21) |
(1.4) |
(204) |
(1.3) |
West South Central |
205 |
1,612 |
9.9 |
20 |
140 |
9.7 |
185 |
1,472 |
10.0 |
(282) |
(1.6) |
(55) |
(3.6) |
(243) |
(1.5) |
Mountain |
272 |
1,867 |
11.5 |
24 |
153 |
10.6 |
248 |
1,714 |
11.6 |
(285) |
(1.6) |
(43) |
(2.9) |
(257) |
(1.6) |
Pacific |
295 |
2,036 |
12.6 |
21 |
134 |
9.2 |
274 |
1,903 |
12.9 |
(215) |
(1.3) |
(42) |
(2.8) |
(215) |
(1.4) |
|
|
|
|
|
|
|
|
|
|
Region |
|
|
|
|
|
|
|
|
|
Northeast |
319 |
2,054 |
12.5 |
23 |
158 |
10.8 |
296 |
1,896 |
12.7 |
(235) |
(1.4) |
(48) |
(3.1) |
(219) |
(1.4) |
Midwest |
499 |
3,432 |
20.9 |
34 |
267 |
18.2 |
465 |
3,165 |
21.2 |
(254) |
(1.5) |
(71) |
(4.3) |
(239) |
(1.5) |
South |
902 |
6,945 |
42.4 |
104 |
742 |
50.6 |
798 |
6,204 |
41.6 |
(557) |
(2.3) |
(115) |
(5.3) |
(491) |
(2.3) |
West |
575 |
3,956 |
24.1 |
47 |
298 |
20.3 |
528 |
3,658 |
24.5 |
(356) |
(1.9) |
(58) |
(3.7) |
(332) |
(1.9) |
|
|
|
|
|
|
|
|
|
|
Urbanicity |
|
|
|
|
|
|
|
|
|
Metropolitan area |
1,827 |
13,253 |
81.7 |
168 |
1,176 |
81.3 |
1,659 |
12,077 |
81.8 |
(676) |
(1.7) |
(142) |
(3.9) |
(612) |
(1.7) |
Non-metropolitan, adjacent |
262 |
1,791 |
11.0 |
23 |
179 |
12.4 |
239 |
1,613 |
10.9 |
(301) |
(1.8) |
(52) |
(3.4) |
(286) |
(1.9) |
Non-metropolitan, non-adjacent |
180 |
1,173 |
7.2 |
14 |
91 |
6.3 |
166 |
1,081 |
7.3 |
(263) |
(1.6) |
(31) |
(2.1) |
(250) |
(1.7) |
|
|
|
|
|
|
|
|
|
|
Self-reported physical health |
|
|
|
|
|
|
|
|
|
Excellent/very good |
1,142 |
8,299 |
50.6 |
116 |
865 |
59.1 |
1,026 |
7,434 |
49.8 ** |
(435) |
(1.3) |
(113) |
(4.0) |
(391) |
(1.3) |
Good |
733 |
5,116 |
31.2 |
66 |
407 |
27.8 |
667 |
4,709 |
31.6 |
(299) |
(1.2) |
(69) |
(3.7) |
(274) |
(1.3) |
Fair/poor |
420 |
2,972 |
18.1 |
26 |
193 |
13.1 |
394 |
2,779 |
18.6 * |
(220) |
(1.0) |
(46) |
(3.0) |
(206) |
(1.0) |
|
|
|
|
|
|
|
|
|
|
Self-reported mental health |
|
|
|
|
|
|
|
|
|
Excellent/very good |
1,395 |
10,045 |
61.3 |
139 |
962 |
65.7 |
1,256 |
9,082 |
60.9 |
(513) |
(1.3) |
(125) |
(4.5) |
(466) |
(1.3) |
Good |
645 |
4,569 |
27.9 |
47 |
333 |
22.7 |
598 |
4,237 |
28.4 |
(278) |
(1.1) |
(61) |
(3.6) |
(255) |
(1.1) |
Fair/poor |
255 |
1,774 |
10.8 |
22 |
170 |
11.6 |
233 |
1,604 |
10.7 |
(167) |
(0.9) |
(49) |
(3.1) |
(157) |
(0.9) |
|
|
|
|
|
|
|
|
|
|
Source: Medical Expenditure Panel Survey-Household Component, 2018 and
2019.
Note: Standard errors are in parentheses. *, **, and *** indicate that the differences from
female Veterans are significant at the p<0.10, p<0.05, and p<0.01 levels, respectively.
Abbreviations: n=unweighted count; SE=standard error; FPL=Federal Poverty Level;
GED=Graduate Equivalency Degree.
1. Results for elderly with no Medicare coverage are not presented due to sample size
restrictions. Therefore, the population by insurance coverage for the elderly will not add up to the
population total.
|
Table 2a. Prevalence of selected medical conditions common among Veterans by VA coverage, 2018–2019
Coverage |
All Veterans |
VA coverage |
No VA coverage |
Medical condition |
n |
n |
n |
Population (in thousands) |
Population (in thousands) |
Population (in thousands) |
Percent |
Percent |
Percent |
(SE) |
(SE) |
(SE) |
All Veterans |
2,295 |
887 |
1,408 |
16,388 |
6,158 |
10,230 |
100.0% |
37.6% |
62.4%*** |
(0.0) |
(1.3) |
(1.3) |
COPD |
184 |
91 |
93 |
1,308 |
664 |
644 |
8.0% |
10.8% |
6.3%*** |
(0.9) |
(1.5) |
(0.9) |
Dermatological conditions |
361 |
138 |
223 |
2,473 |
893 |
1,581 |
15.1% |
14.5% |
15.5% |
(0.9) |
(1.4) |
(1.2) |
GERD |
388 |
163 |
225 |
2,669 |
1,069 |
1,599 |
16.3% |
17.4% |
15.6% |
(1.1) |
(1.9) |
(1.3) |
Hearing loss |
799 |
388 |
411 |
5,532 |
2,598 |
2,935 |
33.8% |
42.2% |
28.7%*** |
(1.4) |
(2.3) |
(1.8) |
Back pain |
896 |
407 |
489 |
6,289 |
2,829 |
3,461 |
38.4% |
45.9% |
33.8%*** |
(1.3) |
(2.3) |
(1.5) |
Fibromyalgia |
34 |
21 |
13 |
225 |
131 |
94 |
1.4% |
2.1% |
0.9% |
(0.4) |
(0.7) |
(0.4) |
Gout |
204 |
94 |
110 |
1,457 |
659 |
798 |
8.9% |
10.7% |
7.8%* |
(0.8) |
(1.4) |
(0.9) |
Neck pain |
440 |
209 |
231 |
3,098 |
1,399 |
1,699 |
18.9% |
22.7% |
16.6%*** |
(1.2) |
(1.7) |
(1.4) |
Osteoarthritis |
391 |
190 |
201 |
2,773 |
1,331 |
1,442 |
16.9% |
21.6% |
14.1%*** |
(1.1) |
(1.9) |
(1.3) |
TMD |
49 |
24 |
25 |
308 |
132 |
176 |
1.9% |
2.1% |
1.7% |
(0.3) |
(0.5) |
(0.4) |
Alcohol abuse |
107 |
60 |
47 |
724 |
422 |
302 |
4.4% |
6.9% |
2.9%*** |
(0.6) |
(1.1) |
(0.6) |
Any mental health diagnosis1 |
420 |
209 |
211 |
2,857 |
1,408 |
1,450 |
17.4% |
22.9% |
14.2%*** |
(1.1) |
(1.8) |
(1.2) |
Depression |
385 |
190 |
195 |
2,605 |
1,266 |
1,339 |
15.9% |
20.6% |
13.1%*** |
(1.1) |
(1.8) |
(1.2) |
Other mood disorder2 |
152 |
82 |
70 |
1,049 |
569 |
480 |
6.4% |
9.2% |
4.7%*** |
(0.7) |
(1.2) |
(0.7) |
PTSD |
287 |
187 |
100 |
1,952 |
1,257 |
695 |
11.9% |
20.4% |
6.8%*** |
(0.9) |
(1.8) |
(0.9) |
Source: Medical Expenditure Panel Survey-Household Component, 2018 and
2019.
Note: Standard errors are in parentheses. *, **, and *** indicate the differences from
Veterans with VA coverage are significant at the p<0.10, p<0.05, and p<0.01 levels, respectively.
Abbreviations: n=unweighted count; SE=standard error; VA=Department of Veterans Affairs;
COPD=chronic obstructive pulmonary disease; GERD=gastroesophageal reflux disease; TMD=temporomandibular
joint dysfunction; PTSD=post-traumatic stress disorder.
1 The "any mental health diagnosis" category includes bipolar disorder, depression,
schizophrenia, or other mood disorder.
2 The "other mood disorder" category includes mood disorders other than bipolar disorder,
depression, and schizophrenia.
|
Table 2b. Prevalence of selected medical conditions common among males by Veteran status, 2018–2019
Veteran status for males |
All males |
Male Veterans |
Male non-Veterans |
Priority condition |
Population |
Population |
Population |
Percent |
Percent |
Percent |
(SE) |
(SE) |
(SE) |
All Veterans |
121,813,172 |
10,533,764 |
111,279,408 |
100.0% |
8.6% |
91.4% |
(0.0) |
(0.4) |
(0.4) |
Coronary heart disease |
7,700 |
1,802 |
5,898 |
6.3% |
17.1% |
5.3%*** |
(0.2) |
(1.2) |
(0.2) |
Angina |
2,877 |
722 |
2,156 |
2.4% |
6.9% |
1.9%*** |
(0.2) |
(0.9) |
(0.1) |
Heart attack |
5,697 |
1,269 |
4,429 |
4.7% |
12.0% |
4.0%*** |
(0.2) |
(0.9) |
(0.2) |
Other heart disease |
12,926 |
2,474 |
10,452 |
10.6% |
23.5% |
9.4%*** |
(0.3) |
(1.2) |
(0.3) |
Any heart disease1 |
18,085 |
3,508 |
14,578 |
14.8% |
33.3% |
13.1%*** |
(0.4) |
(1.4) |
(0.3) |
Stroke |
4,544 |
1,049 |
3,494 |
3.7% |
10.0% |
3.1%*** |
(0.2) |
(0.9) |
(0.2) |
Arthritis |
23,752 |
4,368 |
19,384 |
19.5% |
41.5% |
17.4%*** |
(0.5) |
(1.3) |
(0.4) |
Asthma |
14,268 |
934 |
13,334 |
11.7% |
8.9% |
12.0%*** |
(0.3) |
(0.9) |
(0.4) |
Cancer |
12,102 |
2,586 |
9,516 |
9.9% |
24.5% |
8.6%*** |
(0.3) |
(1.2) |
(0.3) |
Chronic bronchitis |
1,316 |
213 |
1,102 |
1.1% |
2.0% |
1.0%*** |
(0.1) |
(0.3) |
(0.1) |
Diabetes |
13,942 |
2,248 |
11,694 |
11.4% |
21.3% |
10.5%*** |
(0.3) |
(1.3) |
(0.3) |
Emphysema |
2,218 |
484 |
1,734 |
1.8% |
4.6% |
1.6%*** |
(0.1) |
(0.6) |
(0.1) |
High blood pressure |
41,238 |
5,806 |
35,433 |
33.9% |
55.1% |
31.8%*** |
(0.5) |
(1.7) |
(0.6) |
High cholesterol |
37,050 |
5,483 |
31,567 |
30.4% |
52.1% |
28.4%*** |
(0.5) |
(1.5) |
(0.5) |
Joint pain |
51,702 |
6,880 |
44,822 |
42.4% |
65.3% |
40.3%*** |
(0.6) |
(1.4) |
(0.6) |
Limitations with IADL |
3,462 |
597 |
2,865 |
2.8% |
5.7% |
2.6%*** |
(0.1) |
(0.8) |
(0.2) |
Limitations with ADL |
1,895 |
330 |
1,565 |
1.6% |
3.1% |
1.4%*** |
(0.1) |
(0.5) |
(0.1) |
Cognitive limitations |
6,004 |
1,077 |
4,927 |
4.9% |
10.2% |
4.4%*** |
(0.2) |
(0.9) |
(0.2) |
Any limitation in work/housework/school |
10,391 |
1,933 |
8,458 |
8.5% |
18.3% |
7.6%*** |
(0.3) |
(1.1) |
(0.3) |
Any limitation |
22,495 |
4,339 |
18,155 |
18.5% |
41.2% |
16.3%*** |
(0.4) |
(1.4) |
(0.4) |
Serious difficulty hearing |
7,724 |
1,972 |
5,752 |
6.3% |
18.7% |
5.2%*** |
(0.3) |
(1.2) |
(0.2) |
Serious difficulty seeing with glasses |
2,608 |
420 |
2,187 |
2.1% |
4.0% |
2.0%*** |
(0.2) |
(0.6) |
(0.2) |
Number of observations |
20,192 |
2,087 |
18,105 |
Source: Medical Expenditure Panel Survey-Household Component, 2018–2019.
Note: Standard errors are in parentheses. *, **, and *** indicate that the differences from
male Veterans are significant at the p<0.10, p<0.05, and p<0.01 levels, respectively.
Abbreviations: SE = standard error; IADL = Instrumental Activities of Daily Living; ADL =
Activities of Daily Living.
1. The "any heart disease" category includes angina, coronary heart disease, heart attack,
or other heart disease.
|
Table 3. Number and percentage of Veterans with only VA, only non-VA, and both VA and non-VA health care
use by VA coverage, 2018–2019
Type of care |
All Veterans |
VA coverage |
No VA coverage |
Healthcare use |
Population (in thousands) |
Population (in thousands) |
Population (in thousands) |
Percent |
Percent |
Percent |
(SE) |
(SE) |
(SE) |
All Veterans |
16,388 |
6,158 |
10,230 |
100.0% |
37.6% |
62.4%*** |
(0.0) |
(1.3) |
(1.3) |
Any care |
13,603 |
5,456 |
8,147 |
83.0% |
88.6% |
79.6%*** |
(1.1) |
(1.5) |
(1.5) |
Only VA care |
1,672 |
1,520 |
153 |
10.2% |
24.7% |
1.5%***1 |
(0.8) |
(1.9) |
(0.3) |
Only non-VA care |
9,014 |
1,610 |
7,404 |
55.0% |
26.1% |
72.4%*** |
(1.4) |
(1.9) |
(1.6) |
Both VA and non-VA care |
2,917 |
2,327 |
590 |
17.8% |
37.8% |
5.8%***1 |
(1.1) |
(2.3) |
(0.9) |
No care |
2,785 |
702 |
2,083 |
17.0% |
11.4% |
20.4%*** |
(1.1) |
(1.5) |
(1.5) |
Source: Medical Expenditure Panel Survey-Household Component, 2018–2019.
Note: Standard errors are in parentheses. *, **, and *** indicate that the differences from
male Veterans are significant at the p<0.10, p<0.05, and p<0.01 levels, respectively. Sample sizes
for all Veterans, VA coverage, and no VA coverage are 2,295, 887, and 1,408, respectively.
Abbreviations: n = unweighted count; SE = standard error; VA = Department of Veterans
Affairs.
1. VA coverage was reported for the calendar year 2018 or 2019, whereas the VSAQ collected
data on care in the "past 12 months," which may account for VA use among Veterans without VA coverage.
|
Table 4. Use of selected health services common among Veterans by VA coverage, 2018–2019
Survey response |
Any care |
VA only |
Non-VA only |
VA and non-VA |
Health service |
Percent |
Percent |
Percent |
Percent |
(SE) |
(SE) |
(SE) |
(SE) |
All Veterans |
Caregiver support |
5.9 |
2.1 |
3.8 |
0.1 |
(0.7) |
(0.4) |
(0.6) |
(0.1) |
Group counseling for mental healthcare |
6.7 |
4.5 |
2.0 |
0.2 |
(0.7) |
(0.6) |
(0.4) |
(0.1) |
Individual mental healthcare |
13.0 |
7.9 |
4.4 |
0.7 |
(0.9) |
(0.8) |
(0.6) |
(0.3) |
Assistive mobility device |
12.2 |
4.4 |
7.6 |
0.2 |
(1.1) |
(0.6) |
(0.9) |
(0.1) |
Prosthesis |
3.1 |
1.7 |
1.3 |
0.0 |
(0.6) |
(0.4) |
(0.4) |
(0.0) |
Rehabilitation services |
12.3 |
5.6 |
6.4 |
0.3 |
(1.0) |
(0.7) |
(0.7) |
(0.1) |
Prescription medications |
54.6 |
22.5 |
28.8 |
3.4 |
(1.3) |
(1.2) |
(1.3) |
(0.6) |
VA coverage |
Caregiver support |
10.1 |
5.3 |
4.6 |
0.2 |
(1.5) |
(1.0) |
(1.0) |
(0.2) |
Group counseling for mental healthcare |
12.6 |
9.9 |
2.6 |
0.1 |
(1.7) |
(1.5) |
(0.7) |
(0.1) |
Individual mental healthcare |
20.8 |
17.1 |
2.2 |
1.4 |
(2.0) |
(1.8) |
(0.7) |
(0.6) |
Assistive mobility device |
18.8 |
10.7 |
7.5 |
0.6 |
(2.2) |
(1.6) |
(1.3) |
(0.3) |
Prosthesis |
5.9 |
4.4 |
1.5 |
0.0 |
(1.3) |
(1.0) |
(0.6) |
(0.0) |
Rehabilitation services |
19.0 |
12.4 |
5.9 |
0.7 |
(1.9) |
(1.5) |
(1.1) |
(0.3) |
Prescription medications |
69.2 |
51.9 |
10.7 |
6.6 |
(2.4) |
(2.4) |
(1.4) |
(1.3) |
No VA coverage |
Caregiver support |
3.5*** |
0.2*** |
3.3 |
0.0 |
(0.7) |
(0.1) |
(0.7) |
(0.0) |
Group counseling for mental healthcare |
3.1*** |
1.3*** |
1.7 |
0.2 |
(0.5) |
(0.4) |
(0.4) |
(0.2) |
Individual mental healthcare |
8.5*** |
2.5*** |
5.7*** |
0.3* |
(1.0) |
(0.7) |
(0.8) |
(0.2) |
Assistive mobility device |
8.3*** |
0.6*** |
7.7 |
0.0* |
(1.0) |
(0.2) |
(1.0) |
(0.0) |
Prosthesis |
1.4*** |
0.2*** |
1.2 |
0.0 |
(0.5) |
(0.1) |
(0.5) |
(0.0) |
Rehabilitation services |
8.3*** |
1.5*** |
6.7 |
0.1** |
(1.0) |
(0.4) |
(0.9) |
(0.1) |
Prescription medications |
46.2*** |
5.5*** |
39.3*** |
1.5*** |
(1.6) |
(0.8) |
(1.5) |
(0.4) |
Source: Medical Expenditure Panel Survey-Household Component, 2018–2019.
Note: Standard errors are in parentheses. *, **, and *** indicate that the differences from
male Veterans are significant at the p<0.10, p<0.05, and p<0.01 levels, respectively.
Abbreviations: SE = standard error; VA = Department of Veteran Affairs.
|
Table 5. Importance of factors for choosing a primary care provider by VA coverage, 2018–2019
Survey response |
Major factor |
Minor factor |
Not a factor |
Don't know |
No response |
Factor |
Percent |
Percent |
Percent |
Percent |
Percent |
(SE) |
(SE) |
(SE) |
(SE) |
(SE) |
All Veterans |
Cost of care |
28.6% |
17.4% |
38.7% |
8.0% |
7.3% |
(1.5) |
(1.2) |
(1.6) |
(0.7) |
(0.7) |
Recommendation by MD |
30.2 |
23.4 |
30.1 |
9.0 |
7.2 |
(1.4) |
(1.1) |
(1.3) |
(0.8) |
(0.7) |
Reputation of MD |
48.6 |
16.3 |
20.4 |
7.4 |
7.3 |
(1.5) |
(1.1) |
(1.2) |
(0.8) |
(0.7) |
Wait time for appt |
26.4 |
31.4 |
29.0 |
5.8 |
7.3 |
(1.2) |
(1.4) |
(1.3) |
(0.6) |
(0.7) |
Location of MD |
37.9 |
27.0 |
22.5 |
5.1 |
7.4 |
(1.3) |
(1.4) |
(1.2) |
(0.6) |
(0.7) |
In network |
47.5 |
12.9 |
23.9 |
8.5 |
7.2 |
(1.5) |
(1.0) |
(1.3) |
(0.7) |
(0.7) |
Understands Veterans |
27.2 |
16.8 |
38.2 |
10.4 |
7.4 |
(1.3) |
(1.1) |
(1.4) |
(0.8) |
(0.7) |
VA Coverage |
Cost of care |
29.4 |
13.2 |
40.1 |
8.5 |
8.8 |
(2.1) |
(1.9) |
(2.3) |
(1.3) |
(1.2) |
Recommendation by MD |
27.4 |
19.8 |
33.4 |
11.1 |
8.2 |
(2.0) |
(1.8) |
(2.3) |
(1.5) |
(1.1) |
Reputation of MD |
44.9 |
12.0 |
25.6 |
8.8 |
8.7 |
(2.5) |
(1.4) |
(2.0) |
(1.4) |
(1.2) |
Wait time for appt |
27.8 |
27.1 |
30.2 |
6.7 |
8.2 |
(2.0) |
(1.9) |
(2.0) |
(1.2) |
(1.1) |
Location of MD |
35.0 |
23.9 |
26.8 |
6.1 |
8.2 |
(2.0) |
(2.0) |
(2.0) |
(1.1) |
(1.1) |
In network |
39.6 |
12.3 |
27.5 |
11.5 |
9.0 |
(2.4) |
(1.6) |
(2.0) |
(1.4) |
(1.2) |
Understands Veterans |
41.1 |
13.6 |
27.9 |
8.9 |
8.5 |
(2.3) |
(1.6) |
(2.0) |
(1.2) |
(1.1) |
No VA Coverage |
Cost of care |
28.1 |
19.9*** |
37.8 |
7.7 |
6.5* |
(1.7) |
(1.6) |
(1.9) |
(0.9) |
(0.8) |
Recommendation by MD |
31.9* |
25.6** |
28.2* |
7.7** |
6.7 |
(1.8) |
(1.4) |
(1.5) |
(0.9) |
(0.8) |
Reputation of MD |
50.8* |
18.9*** |
17.3*** |
6.6 |
6.5 |
(1.8) |
(1.4) |
(1.3) |
(0.9) |
(0.8) |
Wait time for appt |
25.6 |
34.1*** |
28.3 |
5.2 |
6.8 |
(1.5) |
(1.7) |
(1.5) |
(0.7) |
(0.8) |
Location of MD |
39.6* |
28.9* |
19.9*** |
4.6 |
7.0 |
(1.7) |
(1.7) |
(1.4) |
(0.7) |
(0.9) |
In network |
52.3*** |
13.3 |
21.7** |
6.7*** |
6.0** |
(1.9) |
(1.3) |
(1.5) |
(0.8) |
(0.8) |
Understands Veterans |
18.8*** |
18.6** |
44.4*** |
11.3 |
6.8 |
(1.5) |
(1.4) |
(1.9) |
(1.0) |
(0.8) |
Source: Medical Expenditure Panel Survey-Household Component, 2018–2019.
Note: Standard errors are in parentheses. *, **, and *** indicate that the differences from
male Veterans are significant at the p<0.10, p<0.05, and p<0.01 levels, respectively. Sample sizes
for all Veterans, VA coverage, and no VA coverage are 2,295, 887, and 1,408, respectively.
Abbreviations: SE = standard error; VA = Department of Veteran Affairs; MD = Medical doctor.
|
Table 6. Patient experience with VA primary care provider or Patient Aligned Care Team, 2018–2019
Survey response |
Always |
Usually |
Sometimes |
Never |
No response |
Survey question |
n |
n |
n |
n |
n |
Population (in thousands) |
Population (in thousands) |
Population (in thousands) |
Population (in thousands) |
Population (in thousands) |
Percent |
Percent |
Percent |
Percent |
Percent |
(SE) |
(SE) |
(SE) |
(SE) |
(SE) |
How often VA PCP/PACT knew about past health problems or treatments (Q21)
|
392 |
120 |
41 |
20 |
9 |
2,606 |
725 |
303 |
147 |
74 |
67.6% |
18.8% |
7.9% |
3.8% |
1.9% |
(2.9) |
(1.9) |
(1.8) |
(0.8) |
(1.0) |
How often VA PCP/PACT knew about tests or results from other VA providers
(Q23) |
228 |
62 |
18 |
35 |
210 |
1,511 |
392 |
157 |
228 |
1,392 |
41.1% |
10.7% |
4.3% |
6.2% |
37.8% |
(2.5) |
(1.6) |
(1.1) |
(1.2) |
(2.4) |
How often VA PCP/PACT kept health information complete and up-to-date (Q24)
|
414 |
89 |
32 |
15 |
32 |
2,708 |
589 |
245 |
113 |
200 |
70.2% |
15.3% |
6.4% |
2.9% |
5.2% |
(2.8) |
(2.2) |
(1.4) |
(0.8) |
(1.2) |
How often got medical records as soon as you needed it (Q26) |
76 |
22 |
12 |
26 |
1 |
459 |
137 |
66 |
164 |
10 |
54.9% |
16.4% |
7.9% |
19.7% |
1.2% |
(3.9) |
(3.3) |
(1.0) |
(3.9) |
(0.1) |
How often got referral to see non-VA provider as soon as needed it (Q28)
|
85 |
54 |
15 |
45 |
2 |
555 |
271 |
101 |
298 |
20 |
44.6% |
21.8% |
8.1% |
23.9% |
1.6% |
(3.4) |
(2.2) |
(2.9) |
(3.0) |
(1.6) |
Source: Medical Expenditure Panel Survey-Household Component, 2018–2019.
Note: Standard errors are in parentheses. Note that sample size is restricted to either
Veterans receiving any VA PCP/PACT care in the past 12 months or a subset and thus may vary across
questions.
Abbreviations: N = unweighted count; SE = standard error; VA = Department of Veterans
Affairs; PCP = primary care provider; PACT = Patient Aligned Care Team.
|
Table 7. Patient experience with non-VA providers, 2018–2019
Survey response |
Always |
Usually |
Sometimes |
Never |
No response |
Survey Question |
n |
n |
n |
n |
n |
Population (in thousands) |
Population (in thousands) |
Population (in thousands) |
Population (in thousands) |
Population (in thousands) |
Percent |
Percent |
Percent |
Percent |
Percent |
(SE) |
(SE) |
(SE) |
(SE) |
(SE) |
How often non-VA provider knew about past health problems or treatments
(Q13) |
868 |
308 |
197 |
273 |
54 |
6,035 |
2,100 |
1,428 |
1,993 |
375 |
50.6% |
17.6% |
12.0% |
16.7% |
3.1% |
(1.6) |
(1.3) |
(1.2) |
(1.2) |
(0.6) |
How often non-VA provider kept health information complete and up-to-date
(Q14) |
1,053 |
281 |
100 |
188 |
78 |
7,416 |
1,809 |
788 |
1,339 |
579 |
62.2 |
15.2 |
6.6 |
11.2 |
4.9 |
(1.6) |
(1.1) |
(0.9) |
(1.0) |
(0.7) |
How often got medical records from non-VA provider as soon as you needed it
(Q16) |
166 |
65 |
38 |
136 |
5 |
1,151 |
464 |
278 |
864 |
38 |
41.2 |
16.6 |
9.9 |
30.9 |
1.4 |
(2.7) |
(2.0) |
(2.2) |
(3.1) |
(0.8) |
Source: Medical Expenditure Panel Survey-Household Component, 2018–2019.
Note: Standard errors are in parentheses.
Note that sample size is restricted to Veterans receiving care from a non-VA provider in the
past 12 months or a subset and thus may vary across questions.
Abbreviations: n = unweighted count; SE = standard error; VA = Department of Veterans
Affairs.
|
Table 8. Patient experience with VA specialists by age, 2018–2019
Did the VA specialist have enough information about your medical
history (Q32)? |
All |
Yes |
No |
No response |
No VA specialist care |
n |
n |
n |
n |
n |
Population (in thousands) |
Population (in thousands) |
Population (in thousands) |
Population (in thousands) |
Population (in thousands) |
Percent |
Percent |
Percent |
Percent |
Percent |
(SE) |
(SE) |
(SE) |
(SE) |
(SE) |
All Veterans |
2,295 |
332 |
33 |
1 |
1,929 |
16,388 |
2,139 |
234 |
3 |
14,012 |
100.0% |
90.1% |
9.8% |
0.1% |
— |
(0.0) |
(1.6) |
(1.6) |
(0.0) |
— |
Non-elderly Veterans (ages 18–64) |
999 |
144 |
23 |
0 |
832 |
7,996 |
1,049 |
167 |
0 |
6,779 |
100.0% |
86.2% |
13.8% |
0.0% |
— |
(0.0) |
(2.7) |
(2.7) |
(0.0) |
— |
Elderly Veterans (ages 65+) |
1,296 |
188 |
10 |
1 |
1,097 |
8,392 |
1,090 |
66 |
3 |
7,234 |
100.0 |
94.1 |
5.7 |
0.2 |
— |
(0.0) |
(1.9)** |
(1.9)** |
(0.0) |
— |
Source: Medical Expenditure Panel Survey-Household Component, 2018–2019.
Note: Standard errors are in parentheses. *, **, and *** indicate that the differences from
male Veterans are significant at the p<0.10, p<0.05, and p<0.01 levels, respectively.
Abbreviations: N = unweighted count; SE = standard error; VA = Department of Veterans
Affairs.
|
Table 9. Number and percent of Veterans with health care use from multiple types of providers, 2018–2019
Number of Veterans |
n |
Population (in thousands) |
Percent |
(SE) |
(SE) |
Number of all Veterans |
2,295 |
16,388 |
100.0% |
(751) |
(0.0) |
Number with care from a VA provider (Q19=1) |
695 |
4,589 |
28.0% |
(279) |
(1.2) |
Number with any VA PCP or PACT visit (Q20=1) |
582 |
3,855 |
23.5% |
(251) |
(1.2) |
Number with any VA specialist visit (Q31=1) |
366 |
2,375 |
14.5% |
(172) |
(0.9) |
Number with any non-VA provider visit (Q12=1) |
1,700 |
11,931 |
72.8% |
(549) |
(1.3) |
Number with care from a VA PCP or PACT and another VA provider (Q20=1 and
Q22=1) |
553 |
3,680 |
22.5% |
(246) |
(1.2) |
Number with both VA PCP/PACT and VA specialist visit (Q20=1, Q31=1) |
316 |
2,083 |
12.7% |
(159) |
(0.9) |
Number with both VA PCP/PACT and non-VA provider visit (Q20=1, Q12=1) |
372 |
2,426 |
14.8% |
(193) |
(1.1) |
Number with both VA specialist and non-VA provider visit (Q31=1, Q12=1)
|
251 |
1,612 |
9.8% |
(152) |
(0.9) |
Number with visit to at least two types of providers (Q20=1, Q31=1, Q12=1)
|
519 |
3,401 |
20.8% |
(217) |
(1.1) |
Number with visits with all three provider types (Q20=1, Q31=1, Q12=1)
|
210 |
1,360 |
8.3% |
(139) |
(0.8) |
Number who asked for his/her medical records from VA PCP (Q20=1 and Q25=1)
|
137 |
836 |
5.1% |
(97) |
(0.5) |
Number who asked for his/her medical records from non-VA provider (Q12=1
and Q15=1) |
410 |
2,796 |
17.1% |
(223) |
(1.0) |
Number who needed a referral from VA PCP/PACT to see a non-VA provider
(Q20=1 and Q27=1) |
201 |
1,245 |
7.6% |
(124) |
(0.7) |
Source: Medical Expenditure Panel Survey-Household Component, 2018–2019.
Note: Standard errors are in parentheses.
Abbreviations: N = unweighted count; SE = standard error; VA = Department of Veterans
Affairs; PCP = Primary Care Provider; PACT = Patient Aligned Care Team.
|
Table 10. Care coordination between VA and non-VA providers, 2018–2019
Survey response |
Conditional yes |
Conditional no |
Yes |
No |
Did not receive health care |
No response |
Survey Question |
n |
n |
n |
n |
n |
n |
Population |
Population |
Population |
Population |
Population |
Population |
Percent4 |
Percent |
Percent5 |
Percent |
Percent |
Percent |
(SE) |
(SE) |
(SE) |
(SE) |
(SE) |
(SE) |
Is VA PCP/PACT aware of health care services outside the VA (Q29)?1
|
206 |
130 |
206 |
130 |
23 |
13 |
1,402,848 |
816,349 |
1,402,848 |
816,349 |
151,419 |
55,838 |
63.2% |
36.8% |
57.8% |
33.6% |
6.2% |
2.3% |
(3.1) |
(3.1) |
(3.0) |
(2.9) |
(1.1) |
(0.8) |
Is VA specialist aware of health care services outside the VA (Q33)?2
|
99 |
142 |
99 |
142 |
7 |
3 |
634,213 |
921,631 |
634,213 |
921,631 |
45,388 |
10,720 |
40.8% |
59.2% |
39.3% |
57.2% |
2.8% |
0.7% |
(3.4) |
(3.4) |
(3.3) |
(3.3) |
(0.7) |
(0.0) |
Is non-VA provider aware of health care services at the VA (Q17)?3
|
285 |
162 |
285 |
162 |
0 |
0 |
1,889,530 |
1,027,507 |
1,889,530 |
1,027,507 |
0 |
0 |
64.8% |
35.2% |
64.8% |
35.2% |
0.0% |
0.0% |
(2.7) |
(2.7) |
(2.7) |
(2.7) |
(0.0) |
(0.0) |
Source: Medical Expenditure Panel Survey-Household Component, 2018–2019.
Note: Standard errors are in parentheses. Sample size is restricted to Veterans receiving
care from the two provider types (mentioned in each question) in the past 12 months and thus varies across
questions.
Abbreviations: n = unweighted count; SE = standard error; VA = Department of Veterans
Affairs; PCP = primary care provider; PACT = Patient Aligned Care Team.
1. 6.2% of Veterans with care from a VA PCP/PACT and non-VA provider reported they did not
receive care outside the VA.
2. 2.8% of Veterans with care from a VA specialist and non-VA provider reported they did not
receive care outside the VA.
3. 0.0% of Veterans with care from a non-VA provider and VA provider reported they did not
receive care at the VA.
4. For the first two columns, the denominator for the percent is the number of Veterans who
received care from both types of providers and also responded with yes or no to the question (i.e., the sum
of conditional yes and conditional no).
5. For Columns 3 through 6, the denominator for the percent is the number of Veterans who
received care from both types of providers.
|
Table 11. Care coordination problems between VA and non-VA providers, 2018–2019
Survey response |
Not a problem |
Small problem |
Big problem |
No response |
Survey Question |
n |
n |
n |
n |
Population |
Population |
Population |
Population |
Percent |
Percent |
Percent |
Percent |
(SE) |
(SE) |
(SE) |
(SE) |
Problem with VA PCP/PACT not being aware of services outside the VA (Q30)
|
108 |
15 |
7 |
0 |
677,365 |
75,860 |
63,125 |
0 |
83.0% |
9.3% |
7.7% |
0.0% |
(3.9) |
(0.6) |
(4.2) |
(0.0) |
Problem with VA specialist not being aware of services outside the VA (Q34)
|
125 |
10 |
5 |
2 |
825,967 |
50,068 |
29,889 |
15,706 |
89.6% |
5.4% |
3.2% |
1.7% |
(2.1) |
(0.5) |
(1.9) |
(0.6) |
Problem with non-VA provider not being aware of services at the VA (Q18)
|
137 |
18 |
2 |
5 |
864,934 |
110,007 |
26,817 |
25,748 |
84.2% |
10.7% |
2.6% |
2.5% |
(2.4) |
(2.1) |
(0.1) |
(1.1) |
Source: Medical Expenditure Panel Survey-Household Component, 2018–2019.
Note: Standard errors are in parentheses. Note that sample size is restricted to Veterans
receiving care from multiple provider types in the past 12 months and thus varies across questions.
Abbreviations: n = unweighted count; SE = standard error; VA = Department of Veterans
Affairs; PCP = primary care provider; PACT = Patient Aligned Care Team.
|
|