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Statistical Brief (Medical Expenditure Panel Survey (US)) [Internet]. Rockville (MD): Agency for Healthcare Research and Quality (US); 2001-.
Asako S. Moriya , PhD and Zhengyi Fang , MS.
Published online: September 2023.
In 2020–2021, 12.8 percent of adults aged 65 and older, on average, filled at least one outpatient opioid prescription, and 4.4 percent had four or more prescription fills during the year.
Non-Hispanic White (14.0 percent) and non-Hispanic Black (12.9 percent) older adults were more likely to fill any opioid prescriptions than were Hispanic older adults (7.2 percent) and non-Hispanic older adults of other races (7.0 percent).
Older adults who were poor (6.1 percent), low income (6.6 percent), or middle income (5.2 percent) were more likely than high-income (2.6 percent) older adults to obtain four or more opioid prescription fills during the year.
Older adults with Medicare and other public insurance coverage were more likely to have four or more opioid prescription fills (7.2 percent) than those with Medicare only (4.2 percent) and those with Medicare and private insurance coverage (3.8 percent).
In 2020–2021, the average annual percentages of older adults who had any use or frequent use of prescription opioids during the year were lowest for those in excellent health (6.7 percent and 1.7 percent) and highest for those in poor health (27.0 percent and 14.4 percent).
Prescription opioids are commonly used to treat both chronic and acute pain in the United States. However, they are not recommended as first-line treatment for most types of pain due to the serious risk of opioid use disorder (OUD) and overdose. 1 As OUD and opioid overdose deaths continue to be major public health concerns, 2 , 3 examining the patterns and trends in the use of prescribed opioids can contribute to efforts to promote safer and more effective treatments for pain management.
This Statistical Brief presents estimates of prescription fills for opioid medicines that are commonly used to treat pain. These data were obtained from the Agency for Healthcare Research and Quality (AHRQ) 2020–2021 Medical Expenditure Panel Survey Household Component (MEPS-HC). These estimates are an update to the 2018–2019 estimates presented in the previous AHRQ Statistical Brief #541. The estimates only include prescriptions purchased or obtained in an outpatient setting. Prescription medicines administered in an inpatient setting or in a clinic or physician’s office are not included.
The sample includes all adults aged 65 and older in the U.S. civilian noninstitutionalized population. Statistical Brief 552 presents estimates of opioid use for adults aged 18–64. We examine the average annual percentages of adults aged 65 and older in 2020–2021 with (1) any opioid use (defined as one or more prescription fills during the year) and (2) frequent opioid use (defined as having four or more prescription fills or refills during the year). 4 We present overall estimates for the full population of adults aged 65 and older and for subgroups defined by sex, race/ethnicity, poverty status, insurance coverage, perceived health status, census region, and metropolitan statistical area (MSA) status. All differences mentioned in the text are significant at the p
Because of differences in methodology and in the definitions of opioid prescription fills, readers should use caution when comparing MEPS data with data from other sources. See the “Definitions” section of this Statistical Brief for details.
In 2020–2021, an average annual total of 7.5 million adults aged 65 and older, or 12.8 percent of the 58.5 million older adults in the U.S. civilian noninstitutionalized population, filled at least one opioid prescription. During the same period, 2.6 million or 4.4 percent of older adults obtained four or more opioid prescription fills or refills annually. Older women were more likely to fill at least one opioid prescription (14.0 percent) and to have four or more opioid prescription fills (5.3 percent) than older men (11.3 percent and 3.4 percent).
In 2020–2021, non-Hispanic White (14.0 percent) and non-Hispanic Black (12.9 percent) older adults were more likely, on average, to fill any opioid prescriptions than Hispanic older adults (7.2 percent) and non-Hispanic older adults of other races (7.0 percent). Non-Hispanic White (4.7 percent) and non-Hispanic Black (4.7 percent) older adults were also more likely to fill four or more opioid prescriptions than Hispanic older adults (2.9 percent).
In 2020–2021, the average annual percentage of older adults with any opioid prescription fills was higher for those in families with low incomes (15.0 percent) and middle incomes (13.6 percent) than for those in families with high incomes (11.2 percent). Older adults whose families were poor (6.1 percent), low income (6.6 percent), or middle income (5.2 percent) were, on average, more likely to have four or more opioid prescription fills than those who with high family incomes (2.6 percent).
In 2020–2021, the average annual percentage of older adults who had at least one outpatient opioid prescription fill did not differ significantly by insurance type (12.0 percent, 13.4 percent, and 13.8 percent, for those with Medicare only, Medicare and private insurance, and Medicare and other public insurance, respectively). Older adults with Medicare and other public insurance (7.2 percent) were, on average, more likely to have four or more opioid prescriptions filled than those with Medicare coverage only (4.2 percent) or Medicare and private coverage (3.8 percent).
Any use and frequent use of outpatient prescription opioids tended to be higher for those with worse perceived health. In 2020–2021, older adults whose perceived health was fair or poor were more likely to fill any opioid prescriptions (20.1 percent and 27.0 percent, respectively) or to have four or more opioid prescription fills (9.1 percent and 14.4 percent, respectively) compared with those who reported better perceived health. In comparison, older adults whose perceived health was excellent or very good were less likely, on average, to fill any opioid prescriptions (6.7 percent and 9.8 percent, respectively) or to have four or more opioid prescription fills (1.7 percent and 2.3 percent, respectively) than those who reported worse perceived health.
In 2020–2021, any use and frequent use of outpatient prescription opioids were higher for older adults in the South (13.7 percent and 5.3 percent) and West (12.6 percent and 4.5 percent) census regions than for those in the Northeast census region (9.2 percent and 2.8 percent). Older adults in the Midwest census region were more likely (14.3 percent), on average, to fill any opioid prescriptions than those in the Northeast census region.
Older adults living in MSAs were less likely than those living in non-MSAs to fill any outpatient opioid prescriptions (12.1 percent vs. 16.1 percent) and to obtain four or more opioid prescription fills (4.1 vs. 5.9 percent) during the year.
This Statistical Brief uses data from the 2020–2021 MEPS Full-Year Consolidated Data Files (HC-224 and HC-233) and non-public versions of the 2020–2021 Prescribed Medicines Files (HC-220A and HC-229A). The MSA variables are from 2020 and 2021 MEPS internal data files.
In this Statistical Brief, we examine outpatient prescription fills of opioids that are commonly used to treat pain. These opioids are identified by generic drug names for narcotic analgesics and narcotic analgesic combinations in the Multum Lexicon database from Cerner Multum, Inc. We identify slightly more of the opioids that are commonly used for pain than one would find in the MEPS public use files due to the 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.
We examine the percentage of adults aged 65 and older with any outpatient opioid prescription fills during the year (“any use”) and the percentage with four or more fills or refills (“frequent use”). The acquisition of four fills or refills represents the 75th percentile of the distribution of prescription fills among all adults aged 18 and older with any fills during the year in 2020–2021.
MEPS estimates of opioid use may differ from estimates based on other data sources. For example, MEPS and the Substance Abuse and Mental Health Services Administration National Survey on Drug Use and Health (NSDUH) have substantially different methodologies and objectives. The NSDUH estimates on any use of opioids include both prescribed use and misuse. Misuse includes taking medications for the resulting feeling and in any way that a doctor did not prescribe. NSDUH respondents report use in both inpatient and outpatient settings. In addition, the NSDUH includes targeted questions with show cards for specific drugs, is self-reported using audio-computer assisted self-interviews (ACASI), surveys people 12 years of age and older, and has questions that are based on a 12-month recall period.
In contrast, MEPS includes only prescribed drugs that are purchased or obtained in outpatient settings. Prescription medicines administered in an inpatient setting or in a clinic or physician’s office are not included. 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 aged 65 and older.
The age variable used to identify adults aged 65 and older was based on the sample person’s age at 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 the age at the time of the previous round was used.
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.
Low income: Household income greater than or equal to the poverty line and less than 200 percent of the poverty line
Middle income: 200 percent to less than 400 percent of the poverty line High income: Greater than or equal to 400 percent of the poverty lineMedicare only: A person was classified as Medicare only if they were covered by Medicare only during the year.
Medicare and private: A person was classified as having Medicare and 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: A person was 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: A person was classified as having no Medicare if they were aged 65 and older and reported no Medicare coverage during the year. They comprise less than 2 percent of the sample and were excluded from the analysis.
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 (
The census region variable was based on the location of the household at the end of the year. If missing, the most recent location available was used.
Northeast: Connecticut, Maine, Massachusetts, New Hampshire, New Jersey, New York, Pennsylvania, Rhode Island, and Vermont
Midwest: Illinois, Indiana, Iowa, Kansas, Michigan, Minnesota, Missouri, Nebraska, North Dakota, Ohio, South Dakota, and Wisconsin
South: Alabama, Arkansas, Delaware, District of Columbia, Florida, Georgia, Kentucky, Louisiana, Maryland, Mississippi, North Carolina, Oklahoma, South Carolina, Tennessee, Texas, Virginia, and West Virginia
West: Alaska, Arizona, California, Colorado, Hawaii, Idaho, Montana, Nevada, New Mexico, Oregon, Utah, Washington, and Wyoming
The MSA variable was based on the location of the household at the end of the year and reflects the most recent delineations of MSAs established by the Office of Management and Budget (OMB). An MSA contains a core urban area with a population of 50,000 or more. All counties that are not part of an MSA are considered rural.
The MEPS-HC collects nationally representative data on healthcare use, expenditures, sources of payment, and insurance coverage for the U.S. civilian noninstitutionalized population. The MEPS-HC is cosponsored by AHRQ and the National Center for Health Statistics. More information about the MEPS-HC can be found on the MEPS website at https://www.meps.ahrq.gov/.
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. Agency for Health Care Policy Research Pub. No. 97-0026. Rockville, MD: Agency for Health Care Policy and Research; 1997. https://www .meps.ahrq .gov/data_files/publications/mr1/mr1 .pdf.
Cohen S. Sample Design of the 1996 Medical Expenditure Panel Survey Household Component. MEPS Methodology Report No. 2. Agency for Health Care Policy and Research Pub. No. 97-0027. Rockville, MD: Agency for Healthcare Research and Quality, 1997. https://www .meps.ahrq .gov/data_files/publications/mr2/mr2 .pdf
Moriya AS and Fang Z. Any Use and “Frequent Use” of Opioids among Adults Aged 65 and Older in 2020–2021, by Socioeconomic Characteristics. Statistical Brief #551. Rockville, MD: Agency for Healthcare Research and Quality; September 2023. https://meps.ahrq.gov/data_files/publications/st551/stat551.pdf
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 vog.shh.qrha@rotceriDtcejorPSPEM or send a letter to the address below:
