U.S. flag

An official website of the United States government

NCBI Bookshelf. A service of the National Library of Medicine, National Institutes of Health.

National Health Statistics Reports [Internet]. Hyattsville (MD): National Center for Health Statistics (US); 2024 Jul-. doi: 10.15620/cdc/160016

Cover of National Health Statistics Reports

National Health Statistics Reports [Internet].

Show details

Number 209Prescription Medication Use, Coverage, and Nonadherence Among Adults Age 65 and Older: United States, 2021–2022

, Ph.D. and , Ph.D.

Published online: September 5, 2024.

Objectives:

This report provides a comprehensive look at prescription medication use, prescription drug coverage, and cost-related nonadherence among adults age 65 and older (older adults).

Methods:

Data from the 2021–2022 National Health Interview Survey were used to report prescription medication use in the past 12 months, prescription drug coverage at the time of interview, and cost-related nonadherence in the past 12 months among older adults. Two types of cost-related nonadherence are reported: 1) not getting needed prescription medication due to cost; and 2) not taking medication as prescribed due to cost (skipping doses, delaying filling a prescription, and taking less medication than prescribed) in the past 12 months. All estimates are presented by sex, age group, race and Hispanic origin, family income, food insecurity, urbanization, education, marital status, health insurance coverage, health status, disability status, and number of chronic conditions.

Results:

In 2021–2022, 88.6% of older adults took prescription medication, 82.7% had prescription drug coverage, 3.6% did not get needed prescription medication due to cost, and 3.4% did not take medication as prescribed due to cost. Older adults with no prescription drug coverage were more likely to not get prescription medication and to not take needed medication as prescribed than older adults with private or public prescription drug coverage. For both measures, cost-related nonadherence was six times higher among older adults who were food insecure compared with those who were food secure, and more than twice as likely among older adults reporting fair or poor health or with disabilities compared with those in excellent, very good, or good health, or without disabilities.

Keywords:

prescription drug cost, health insurance coverage, cost-related nonadherence (CRN), National Health Interview Survey

Introduction

Prescription drug costs in the United States are a major concern for Americans (1). According to a recent study from RAND, prescription drug prices in the United States are nearly three times higher than for those living in 33 other Organisation for Economic Co-operation and Development countries (2). Out-of-pocket costs for retail drugs rose 4.8% to $63 billion between 2020 and 2021 (3). Rising prescription costs may be particularly challenging for older adults. Previous research has found that most adults age 65 and older (older adults) report taking prescription medication, and nearly one-quarter have reported difficulty affording prescription medications (4).

Although Medicare provides nearly universal health coverage for older adults, prescription coverage for adults age 65 and older is not universal. Some older adults enroll in prescription drug coverage through Medicare Part D. Adults enrolled in Medicare Part D typically pay a premium for coverage and are also responsible for any copays associated with prescription medication costs. Low-income adults may be eligible for a Medicare Part D subsidy, which covers the premium cost and reduces their copays (5,6). Other older adults have prescription drug coverage through their private health plans or may purchase supplemental coverage for prescription medication costs. Having prescription drug coverage through Part D, private health plans, or supplemental coverage may reduce the cost of medications for older adults. However, many older adults with prescription coverage may still face high prescription costs due to cost-sharing requirements such as premiums and deductibles. Previous research has found that nearly one in five older adults do not have prescription drug coverage at all (4,7).

Access to prescription drugs among older adults is complex and the type of prescription drug coverage, changing prescription drug formularies, cost-sharing requirements, and complicated medication regimes may impact out-of-pocket medication costs and cause older adults to use strategies to reduce costs like skipping doses or delaying filling a prescription (4,6,8–11). High out-of-pocket costs may not only deter older adults from using medication as prescribed, but also from getting needed medication. Moreover, the cost of prescription drugs may necessitate tradeoffs between taking medications and meeting other needs, such as food or housing costs (7).

Much of the literature on cost-related nonadherence (CRN) among older adults focuses on identifying its correlates (9–17). Less attention has been paid to differences in prescription drug use or coverage, or the varying strategies used to reduce prescription costs by older adults’characteristics.

This report provides a more complete picture of prescription drug coverage, use of prescription drugs, and CRN among older, community-dwelling adults in the United States that may inform research and policy making. This report explores two types of CRN: 1) not getting prescription medication due to cost in the past 12 months; and 2) not taking medication as prescribed due to cost (skipping doses, delaying filling a prescription, and taking less medication than prescribed) in the past 12 months.

Methods

Data source

Data from the 2021 and 2022 National Health Interview Survey (NHIS) were pooled for this analysis. Two years of data were used to increase the number of reliable estimates that can be presented. NHIS is a multipurpose health survey of the U.S. civilian noninstitutionalized population conducted continuously throughout the year by the National Center for Health Statistics. The NHIS interview begins by identifying everyone who usually lives in the household. One sample adult, age 18 and older, and one sample child, age 17 and younger (if any children live in the household) are randomly selected to be part of the NHIS sample. This report is based only on the Sample Adult interviews. The selected sample adult answers detailed questions about their health insurance, health status, health-related behaviors, and healthcare access and use. Information about the sample adult is collected from the sample adults themselves unless they are physically or mentally unable to report, in which case a knowledgeable proxy can answer for them. Interviews are typically conducted in respondents’ homes, but follow-ups to complete interviews may be conducted over the telephone when necessary. Due to the COVID-19 pandemic, in both 2021 and 2022, 62.8% and 55.7%, respectively, of Sample Adult interviews were conducted at least partially by telephone (18,19). The response rate for the Sample Adult component was 50.9% in 2021 and 47.7% in 2022 (18,19). Detailed information regarding the design, content, and use of NHIS, and annual sample sizes and response rates of NHIS, are available in the annual NHIS Survey Description document (18,19). This report is limited to adults age 65 and older. In this report, the term “older adult” refers to people age 65 and older. Estimates in this report are based on 17,706 sample adults age 65 and older.

Prescription drug use

Took prescription medication in the past 12 months—Based on a positive response to the question, “At any time in the past 12 months, did you take prescription medication?”

Prescription drug coverage

Adults were considered to have private prescription drug coverage if, at the time of interview, they had coverage through either a single-service plan, a private health insurance plan, or Medicare Part D. Adults were considered to have public prescription drug coverage if they were covered by Medicaid, other public coverage, or military coverage.

Cost-related prescription medication nonadherence

Two types of CRN were explored: 1) not getting prescription medication due to cost in the past 12 months; and 2) not taking medication as prescribed due to cost (skipping doses, delaying filling a prescription, and taking less medication than prescribed) in the past 12 months. These two types of CRN were examined separately, as adults who do not get prescription medication are forgoing needed medication completely, while those who are not taking medication as prescribed are taking at least some needed medication.

Did not get prescription medication due to cost—Based on a positive response to the question, “During the past 12 months, was there any time when you needed prescription medication, but did not get it because of cost?” This measure includes older adults who reported that they did not take medication in the past 12 months.

Did not take medication as prescribed to reduce costs—Based on a positive response to any of the following questions, “During the past 12 months, are any of the following true for you? 1) You skipped medication doses to save money; 2) You took less medication to save money; and 3) You delayed filling a prescription to save money.” Adults were asked these questions only if they reported taking medication prescribed by a doctor or other health care provider during the past 12 months. For this report, older adults who reported that they did not take medication in the past 12 months were considered to be a “no” response for these questions and were included in the denominators. This report also presents the individual components of this measure (skipped medication doses, took less medication, and delayed filling a prescription).

Statistical analysis

All estimates of prescription drug use, coverage, and CRN are presented by sex, age group, race and Hispanic origin, family income, food insecurity, urbanization, education, marital status, health insurance coverage, health status, disability status, and number of chronic conditions (see Technical Notes for more details about these variables). Additionally, estimates of prescription drug use and CRN are also shown by type of prescription drug coverage.

Estimates of the percentage of adults age 65 and older who have taken prescription medication in the past 12 months, have prescription drug coverage at the time of interview, and have not taken prescription medication due to cost in the past 12 months are presented overall and by selected characteristics. Estimates that did not meet National Center for Health Statistics presentation standards were suppressed (20). The 95% confidence intervals were generated using the Korn–Graubard method for complex surveys (21). Statistical significance was set at p < 0.05 for all tests. No adjustments were made for multiple comparisons. Estimates were calculated using the NHIS survey weights and are representative of the U.S. civilian noninstitutionalized population (18,19). Point estimates and their corresponding variances were calculated using SUDAAN software version 11.0.0 (RTI International, Research Triangle Park, N.C.), to account for the complex sampling design of NHIS. Respondents with missing data or unknown information were excluded from the analysis unless specifically noted.

Trends by family income (as a percentage of the federal poverty level [FPL]), education level, age group, and urbanization level for adults age 65 and older were evaluated using orthogonal polynomials in logistic regression. Terms such as “more likely” and “less likely,” or specific group comparisons, indicate a statistically significant difference unless noted otherwise. Lack of comment regarding the difference between any two estimates does not necessarily mean that the difference was tested and found to be not statistically significant.

Results

Prescription medication use

In 2021–2022, 88.6% of older adults took prescription medication in the past 12 months (Table 1). Prescription medication use was similar for men and women. Adults ages 65–74 (86.9%) were less likely than those ages 75–84 (91.3%) and age 85 and older (91.2%) to take prescription medication. White adults (89.7%) were more likely than Black (87.4%), Hispanic (83.9%), and Asian (83.8%) adults to take prescription medication. Taking prescription medication in the past 12 months increased with increasing family income, number of chronic conditions, and decreasing urbanization level. Adults with Medicare only and older adults with no prescription drug coverage were less likely than those with other types of health coverage or any prescription drug coverage (private or public) to have taken prescription medication in the past 12 months.

Table Icon

Table 1

Percentage of adults age 65 and older who took prescription medication in the past 12 months, by selected characteristics: United States, 2021–2022.

Prescription drug coverage

Any prescription drug coverage

In 2021–2022, 82.7% of older adults had any prescription drug coverage (Table 2). Prescription drug coverage was higher among men (84.6%) than women (81.1%), and among White adults (83.4%) compared with Hispanic adults (79.4%) (differences between other race and Hispanic-origin groups were not significant). Adults with incomes greater than 400% FPL (86.1%) were more likely than those with incomes of less than 100% FPL (81.0%), 100% to less than 200% FPL (78.2%), and 200% to less than or equal to 400% FPL (81.7%) to have any prescription drug coverage. Married adults (84.7%) were more likely than widowed (80.1%), divorced or separated (80.1%), or never married (79.4%) adults to have any prescription drug coverage. The percentage of adults with any prescription drug coverage was highest among those with dual-eligible health coverage (100%), followed by those with other (97.5%), private (91.9%), Medicare Advantage (74.9%), and Medicare only (59.9%) coverage. Having no prescription drug coverage at all increased with age and decreased with education and number of chronic conditions.

Table Icon

Table 2

Percentage of adults age 65 and older with any prescription drug coverage, private drug coverage, public drug coverage, or no prescription drug coverage, by selected characteristics: United States, 2021–2022.

Private prescription drug coverage

Among older adults, 68.7% had private prescription drug coverage (Table 2). Men (68.4%) and women (68.9%) had similar rates of private prescription drug coverage. White adults (72.9%) were more likely than adults of other and multiple races (59.8%) and Black (58.5%), Hispanic (54.0%), and Asian (53.6%) adults to have private prescription drug coverage. Private prescription drug coverage increased with increasing family income, from 38.4% among those with incomes of less than 100% FPL to 78.7% among those with incomes greater than 400% FPL. Married adults (74.0%) were more likely than cohabiting (64.8%), widowed (64.3%), divorced or separated (60.6%), or never married (55.8%) adults to have private prescription drug coverage. Private prescription drug coverage was highest among adults with private health insurance coverage (90.4%) followed by those with Medicare Advantage (74.6%), Medicare only (59.9%), and other (24.8%) coverage. Private prescription drug coverage decreased with age and increased with education level. Adults with food insecurity (48.4%), in fair or poor health (60.3%), and with disabilities (61.5%) were less likely than their counterparts who are food secure (69.8%), in excellent, very good, and good health (71.2%), and without disabilities (70.3%) to have private prescription drug coverage.

Public prescription drug coverage

Among older adults, 14.0% had public prescription drug coverage (Table 2). Men (16.2%) were more likely than women (12.1%) to have public prescription drug coverage. White adults (10.5%) were less likely than adults of other and multiple races (19.1%) and Black (23.4%), Hispanic (25.3%), and Asian (26.8%) adults to have public prescription drug coverage. Public prescription drug coverage decreased with increasing family income, from 42.5% among those with incomes of less than 100% FPL to 7.4% among those with incomes greater than 400% FPL. Married adults (10.7%) were less likely than widowed (15.7%), cohabiting (17.0%), divorced or separated (19.5%), or never married (23.7%) adults to have public prescription drug coverage. Public prescription drug coverage was highest among adults with dual-eligible coverage (100.0%), followed by those with other (72.8%), private (1.5%), and Medicare Advantage (0.3%) coverage. Public prescription drug coverage increased with age and decreased with education level. Adults with food insecurity (31.4%), in fair or poor health (22.8%), and with disabilities (22.7%) were about twice as likely than their counterparts who are food secure (13.1%); in excellent, very good, and good health (11.4%); and without disabilities (12.0%) to have public prescription drug coverage.

Prescription drug nonadherence due to cost

Did not get prescription medication

In 2021–2022, 3.6% of older adults did not get prescription medication due to cost in the past 12 months (Table 3). Women (4.0%) were more likely than men (3.1%) to not get prescription medication. The percentage of adults not getting prescription medication decreased by age, from 4.3% among those ages 65–74 to 1.6% among those age 85 and older. Black (5.3%) and Hispanic (5.3%) adults were more likely to not get medication due to cost compared with White (3.2%) and Asian (2.0%) adults. Adults with family incomes of 100% to less than 200% FPL were the most likely to not get prescription medication compared with other income groups. Adults living in food insecure families (18.1%) were six times more likely than adults living in food secure families (2.9%) to not get prescription medication. Adults in fair or poor health (7.3%) and with disabilities (6.1%) were more than twice as likely than their counterparts in excellent, very good, and good health (2.5%) and without disabilities (3.0%) to not get prescription medication. Not getting prescription medication increased with an increasing number of chronic conditions. Adults with either private (3.5%) or public (2.9%) prescription drug coverage were less likely than older adults without prescription drug coverage (4.5%) to not get prescription drugs due to cost.

Table Icon

Table 3

Percentage of adults age 65 and older who did not get prescription medication due to cost and did not take medication as prescribed to reduce costs in the past 12 months, by selected characteristics: United States, 2021–2022.

Did not take medication as prescribed

In 2021–2022, 3.4% of older adults did not take medication as prescribed due to cost in the past 12 months (Table 3). The percentage of adults not taking medication as prescribed decreased by age, from 4.1% among those ages 65–74 to 1.7% among those age 85 and older. Adults with family incomes greater than 400% FPL were the least likely to not take medication as prescribed compared with other income groups. Adults living in food insecure families (16.8%) were six times more likely than adults living in food secure families (2.8%) to not take medication as prescribed. Older adults in fair or poor health (7.3%) and with disabilities (6.1%) were more than twice as likely than their counterparts in excellent, very good, and good health (2.3%) and without disabilities (2.8%) to not take medication as prescribed. Not taking medication as prescribed increased with the increasing number of chronic conditions. Adults with either private (3.4%) or public (2.6%) prescription drug coverage were less likely than adults without prescription drug coverage (4.4%) to not take medication as prescribed.

In 2021–2022, 2.2% of older adults took less medication than prescribed, 2.7% delayed filling a prescription, and 1.7% skipped medication doses due to cost (Table 3). Differences by sociodemographic and health characteristics were also seen for these three cost-reducing strategies. For each strategy, adults ages 65–74 were more likely than those ages 75–84 or 85 and older to engage in CRN. Black adults were more likely to take less medication than prescribed or delay filling a prescription than White or Asian adults. Adults with family incomes greater than 400% FPL were the least likely to engage in any of the three cost-reducing strategies compared with the other income groups. Adults living in food insecure families were more than six times more likely than adults living in food secure families to take less medication than prescribed, delay filling a prescription, or skip medication doses. Adults in fair or poor health and with disabilities were also more likely than their counterparts in excellent, very good, and good health and without disabilities to engage in each cost-reducing strategy. The percentage of adults who took less medication than prescribed, delayed filling a prescription, or skipped prescribed doses increased with an increasing number of chronic conditions.

Summary

This report provides a detailed picture of prescription drug use, coverage, and CRN among community-dwelling older adults in the United States. In 2021–2022, 88.6% of older adults took prescription medication, 82.7% had prescription drug coverage, 3.6% did not get prescription medication due to cost, and 3.4% did not take medication as prescribed due to cost. Previous reports have found similar use of prescription drugs and prescription drug coverage among older adults (4,22,23). Prescription drug use varied by most sociodemographic, health, and disability measures examined in this report, ranging from 80% to 90% among older adults for most measures.

Most older adults in the United States can enroll in prescription drug coverage through Medicare Part D either through a separate plan or through many of the Medicare Advantage plans (24), and others may enroll in private plans or purchase supplemental coverage. In addition to premium costs and copays associated with prescription drug coverage, if an older adult does not enroll in Medicare Part D when they are first eligible and cannot document alternative coverage, they may be subject to an enrollment penalty increasing the cost of obtaining prescription coverage. These additional costs may contribute to about one out of five older adults not having prescription drug coverage (4,7).

Across most sociodemographic and health characteristics, the percentage of older adults reporting any prescription drug coverage generally ranged from 75% to 85%. However, among older adults who relied on only Medicare coverage for their health expenses, about 60% reported that they had enrolled in prescription drug coverage.

Both measures of CRN (not getting prescription medication due to cost or not taking medication as prescribed due to cost) varied by most sociodemographic, health, and disability measures examined. The highest levels of CRN were among older adults in fair or poor health, those with disabilities, and those who experienced food insecurity. Studies have found a dose-response relationship between food insecurity and CRN, with high levels of food insecurity increasing the likelihood of CRN (12,13,25). In addition, CRN increased with the number of chronic conditions. Both of these risk factors for CRN have been previously noted (11,26). Food insecurity has also been associated with CRN for specific conditions, for example among adults with diabetes, stroke survivors, and older adults with hypertension (14,15,27).

Reducing household food insecurity and hunger is a Healthy People 2030 objective (28). A recent study found that more than 7% of adults age 60 and older (5.5 million) live with food insecurity (29). The interrelationship between food insecurity and CRN has been previously documented and both measures share many of the same risk factors, including low income and presence of chronic conditions (12,13,25). The reasons for higher levels of CRN among food insecure older adults are complex and factors may exist, such as the ability to obtain food or family support, that NHIS does not measure.

In 2022, 47.9% of older adults had been diagnosed with arthritis, 20.1% with diabetes, 48.1% with high cholesterol, and 58.5% with hypertension (30–33). Together, prescriptions for diabetes, high cholesterol, hypertension, and pain accounted for more than 45% of all prescriptions in the United States (34). Although a majority of older adults have prescription drug coverage, previous studies have shown that many older adults still cannot afford their medication (7). Out-of-pocket costs have risen significantly for Medicare beneficiaries since 2016 (3), which may contribute to CRN, especially for prescriptions costing more than $75 out of pocket (3). Cost-saving strategies to reduce prescription drug costs may have implications for health status and, in the past, have been associated with increased emergency room use and hospitalization compared with adults who followed recommended pharmacotherapy (35,36).

One strength of NHIS is its low item nonresponse on questions about prescription drug use and CRN (about 1%). For the measure of prescription drug coverage, nonresponse ranged from 1% for the questions about single-service coverage to about 5% for the question about Medicare Part D coverage. In addition, CRN can be analyzed in combination with other measures available in NHIS, including problems paying medical bills, worry about healthcare costs, forgone care, and healthcare access and use. However, NHIS responses are self-reported and may be subject to recall bias. In addition, NHIS does not collect information on actual out-of-pocket costs for prescribed medications, which conditions medications are prescribed for, or which medications are subject to cost-saving strategies and CRN. While this report presents unadjusted estimates of prescription drug use and coverage and two measures of CRN, it highlights differences in each of these outcomes by sociodemographic and health characteristics. As a result, these findings may inform efforts to reduce disparities in healthcare access and health outcomes for older adults.

References

1.
Kaiser Family Foundation. 3 charts: Drug prices in the United States. 2024. Available from: https://www​.kff.org/health-costs​/press-release​/3-charts-about-drug-prices-in-the-united-states/.
2.
ASPE. International prescription drug price comparisons: Estimates using 2022 data. 2024. Available from: https://aspe​.hhs.gov​/sites/default/files​/documents/277371265a705c356c968977e87446ae​/international-price-comparisons.pdf.
3.
4.
Kirzinger A, Neuman T, Cubanski J, Brodie M. Data note: Prescription drugs and older adults. Kaiser Family Foundation. 2019. Available from: https://www​.kff.org/health-reform​/issue-brief​/data-note-prescription-drugs-and-older-adults/.
5.
Kaiser Family Foundation An overview of the Medicare Part D prescription drug benefit. 2023. Available from: https://www​.kff.org/medicare​/fact-sheet/an-overview-of-the-medicare-part-d-prescription-drug-benefit/.
6.
Dusetzina SB, Huskamp HA, Rothman RL, Pinheiro LC, Roberts AW, Shah ND, et al. Many Medicare beneficiaries do not fill high-price specialty drug prescriptions. Health Aff (Millwood) 41(4):487–96. 2022. [PubMed: 35377748]
7.
Olson AW, Schommer JC, Mott DA, Adekunle O, Brown LM. Financial hardship from purchasing prescription drugs among older adults in the United States before, during, and after the Medicare Part D ”donut hole”: Findings from 1998, 2001, 2015, and 2021. J Manag Care Spec Pharm 28(5):508–17. 2022. DOI: 10.18553/jmcp.2022.28.5.508. [PubMed: 35471065] [CrossRef]
8.
Park C, Chang CA, Ng BP, Young GJ. Cost-related medication nonadherence among Medicare beneficiaries with cardiovascular disease risk factors: The role of comprehension of the Medicare programme and its prescription drug benefits. J Eval Clin Pract 29(1):136–45. 2023. DOI: 10.1111/jep.13745. [PubMed: 35982538] [CrossRef]
9.
Smaje A, Weston-Clark M, Raj R, Orlu M, Davis D, Rawle M. Factors associated with medication adherence in older patients: A systematic review. Aging Med (Milton) 1(3):254–66. 2018. DOI: 10.1002/agm2.12045. [PubMed: 31410389] [CrossRef]
10.
Gu D, Shen C. Assessing the importance of factors associated with cost-related nonadherence to medication for older US Medicare beneficiaries. Drugs Aging 36(12):1111–21. 2019. DOI: 10.1007/s40266-019-00715-3. [PubMed: 31686403] [CrossRef]
11.
Nekui F, Galbraith AA, Briesacher BA, Zhang F, Soumerai SB, Ross-Degnan D,et al. Cost-related medication nonadherence and its risk factors among Medicare beneficiaries. Med Care 59(1):13–21. 2021. DOI: 10.1097/mlr.0000000000001458. [PubMed: 33298705] [CrossRef]
12.
Herman D, Afulani P, Coleman-Jensen A, Harrison GG. Food insecurity and cost-related medication underuse among nonelderly adults in a nationally representative sample. Am J Public Health 105(10):e48–59. 2015. DOI: 10.2105/ajph.2015.302712. [CrossRef]
13.
Men F, Gundersen C, Urquia ML, Tarasuk V. Prescription medication nonadherence associated with food insecurity: A population-based cross-sectional study. CMAJ Open 7(3):E590–7. 2019. DOI: 10.9778/cmajo.20190075. [CrossRef]
14.
Patel MR, Piette JD, Resnicow K, Kowalski-Dobson T, Heisler M. Social determinants of health, cost-related nonadherence, and cost-reducing behaviors among adults with diabetes: Findings from the National Health Interview Survey. Med Care 54(8):796–803. 2016. DOI: 10.1097/mlr.0000000000000565. [PubMed: 27219636] [CrossRef]
15.
Springer MV, Skolarus LE, Patel M. Food insecurity and perceived financial stress are associated with cost-related medication non-adherence in stroke. J Health Care Poor Underserved 34(2):625–39. 2023. DOI: 10.1353/hpu.2023.0054. [PubMed: 37464522] [CrossRef]
16.
Laba TL, Cheng L, Kolhatkar A, Law MR. Cost-related nonadherence to medicines in people with multiple chronic conditions. Res Social Adm Pharm 16(3):415–21. 2020. DOI: 10.1016/j.sapharm.2019.06.008. [PubMed: 31253501] [CrossRef]
17.
Chung GC, Marottoli RA, Cooney LM Jr, Rhee TG. Cost-related medication nonadherence among older adults: Findings from a nationally representative sample. J Am Geriatr Soc 67(12):2463–73. 2019. [PubMed: 31437309]
18.
National Center for Health Statistics: National Health Interview Survey: 2021 survey description. 2022.
19.
National Center for Health Statistics: National Health Interview Survey: 2022 survey description. 2023.
20.
Parker JD, Talih M, Malec DJ, Beresovsky V, Carroll M, Gonzalez JF Jr, et al. National Center for Health Statistics data presentation standards for proportions. National Center for Health Statistics. Vital Health Stat 2(175). 2017. Available from: https://www​.cdc.gov/nchs​/data/series/sr_02/sr02_175.pdf.
21.
Korn EL, Graubard BI. Confidence intervals for proportions with small expected number of positive counts estimated from survey data. Surv Methodol 24(2):193–201. 1998.
22.
Boersma P, Cohen RA, Vahratian A. QuickStats: Percentage of adults aged ≥ 18 years who were prescribed medication in the past 12 months, by sex and age group—National Health Interview Survey, 2017. MMWR Morb Mortal Wkly Rep 68(4):97. 2019. [PubMed: 30703076]
23.
Cubanski J, Damico A, Neuman T. 10 things to know about Medicare Part D coverage and costs in 2019. Kaiser Family Foundation Data Note. 2019. Available from: https://www​.kff.org/medicare​/issue-brief​/10-things-to-know-about-medicare-part-d-coverage-and-costs-in-2019/.
24.
Centers for Medicare & Medicaid Services. How to get prescription drug coverage. Available from: https://www​.medicare​.gov/drug-coverage-part-d​/how-to-get-prescription-drug-coverage.
25.
Afulani P, Herman D, Coleman-Jensen A, Harrison GG. Food insecurity and health outcomes among older adults: The role of cost-related medication underuse. J Nutr Gerontol Geriatr 34(3):319–42. 2015. [PubMed: 26267444]
26.
Caouette S, Boss L, Lynn M. Original research: The relationship between food insecurity and cost-related medication nonadherence in older adults: A systematic review. Am J Nurs 120(6):24–36. 2020.
27.
Donneyong MM, Chang TJ, Jackson JW, Langston MA, Juarez PD, Sealy-Jefferson S, et al. Structural and social determinants of health factors associated with county-level variation in non-adherence to antihypertensive medication treatment. Int J Environ Res Public Health 17(18):6684. 2020. DOI: 10.3390/ijerph17186684. [PubMed: 32937852] [CrossRef]
28.
29.
Ziliak JP, Gunderson C. The state of senior hunger in 2021. Feeding America. 2023. Available from: https://www​.feedingamerica​.org/sites/default​/files/2023-04/State​%20of%20Senior%20Hunger%20in%202021​.pdf.
30.
National Center for Health Statistics. Percentage of diagnosed diabetes for adults aged 18 and over, United States, 2022. National Health Interview Survey. Available from: https://wwwn​.cdc.gov​/NHISDataQueryTool/SHS_adult/index.html.
31.
National Center for Health Statistics. Percentage of arthritis diagnosis for adults aged 18 and over, United States, 2022. National Health Interview Survey. Available from: https://wwwn​.cdc.gov​/NHISDataQueryTool/SHS_adult/index.html.
32.
National Center for Health Statistics. Percentage of diagnosed hypertension for adults aged 18 and over, United States, 2022. National Health Interview Survey. Available from: https://wwwn​.cdc.gov​/NHISDataQueryTool/SHS_adult/index.html.
33.
National Center for Health Statistics. Percentage of high cholesterol for adults aged 18 and over, United States, 2022. National Health Interview Survey. Available from: https://wwwn​.cdc.gov​/NHISDataQueryTool/SHS_adult/index.html.
34.
IQVIA Institute. The use of medicines in the U.S. 2023: Usage and spending trends and outlook to 2027. 2023. Available from: https://www​.iqvia.com​/insights/the-iqvia-institute​/reports-and-publications​/reports​/the-use-of-medicines-in-the-us-2023.
35.
Heisler M, Choi H, Rosen AB, Vijan S,Kabeto M, Langa KM, Piette JD. Hospitalizations and deaths among adults with cardiovascular disease who underuse medications because of cost: A longitudinal analysis. Med Care 48(2):87–94. 2010. [PubMed: 20068489]
36.
Jha AK, Aubert RE, Yao J, Teagarden JR, Epstein RS. Greater adherence to diabetes drugs is linked to less hospital use and could save nearly $5 billion annually. Health Aff (Millwood) 31(8):1836–46. 2012. [PubMed: 22869663]
37.
38.
National Center for Health Statistics. Multiple imputation of family income in 2021 National Health Interview Survey: Methods. 2022. Available from: https://ftp​.cdc.gov/pub​/Health_Statistics​/NCHS/Dataset_Documentation​/NHIS/2021/NHIS2021-imputation-techdoc-508.pdf.
39.
National Center for Health Statistics. Multiple imputation of family income in 2022 National Health Interview Survey: Methods. 2023. Available from: https://ftp​.cdc.gov/pub​/Health_Statistics​/NCHS/Dataset_Documentation​/NHIS/2022/NHIS2022-imputation-techdoc-508.pdf.
40.
41.
Office of Management and Budget. Revised delineations of metropolitan statistical areas, micropolitan statistical areas, and combined statistical areas, and guidance on uses of the delineations of these areas. OMB Bulletin No. 13–01. 2013.
42.
National Center for Health Statistics. NCHS urban–rural classification scheme for counties. 2017. Available from: https://www​.cdc.gov/nchs​/data_access/urban_rural​.htm#2013_Urban​_Rural_Classification​_Scheme_for_Counties.
43.
Ingram DD, Franco SJ. 2013 NCHS urban–rural classification scheme for counties. National Center for Health Statistics. Vital Health Stat 2(166). 2014.
44.
Centers for Medicare & Medicaid Services. Your health plan options: Medicare Advantage plans. Available from: https://www​.medicare​.gov/sign-upchange-plans​/types-of-medicare-health-plans​/medicare-advantage-plans.
45.
Social Security Administration. Social Security Act. Title XVIII: Health insurance for the aged and disabled. 42 USC 1395–1395III. 1965.
46.
Goodman RA, Posner SF, Huang ES, Parekh AK, Koh HK. Defining and measuring chronic conditions: Imperatives for research, policy, program, and practice. Prev Chronic Dis 10:E66. 2013. DOI: 10.5888/pcd10.120239. [PubMed: 23618546] [CrossRef]
47.
Ward BW, Schiller JS. Prevalence of multiple chronic conditions among US adults: Estimates from the National Health Interview Survey, 2010. Prev Chronic Dis 10:E65. 2013. DOI: 10.5888/pcd10.120203. [CrossRef]

Technical Notes

Definitions of selected terms

Selected sociodemographic characteristics

Sociodemographic characteristics presented in this report include age group (65–74, 75–84, and 85 and older), education level, family income, food insecurity, marital status, race and Hispanic origin, sex, and urbanization level.

Education level—Categories are based on years of school completed or the highest degree obtained and are defined as less than high school, high school diploma, some college, bachelor’s degree or higher. The high school diploma category includes those who have a GED.

Family income as a percentage of federal poverty level (FPL)—Derived from the family’s income in the previous calendar year and family size using the U.S. Census Bureau’s poverty thresholds (37). The 2021 and 2022 NHIS imputed income files using multiple imputation methods were used to create the poverty levels (38,39). Family income as a percentage of FPL is defined as less than 100% FPL, 100% to less than 200% FPL, 200% to less than or equal to 400% FPL, and greater than 400% FPL.

Food insecurity—Based on responses to a set of 10 questions: whether the respondent 1) worried that food would run out before there was money to buy more; 2) found food that was purchased didn’t last and did not have money to get more; 3) couldn’t afford to eat balanced meals; 4) had to cut the size of meals or skip meals because there was not enough money for food, and 5) the number of days this happened; 6) ate less than they should because there was not enough money for food; 7) was hungry but didn’t eat because there was not enough money for food; 8) lost weight because there was not enough money for food; 9) did not eat for a whole day because there was not enough money for food, and 10) the number of days this happened. The questions measure the family’s food situation based on the past 30 days. Answers of “often true,” “sometimes true,” and “yes” are considered affirmative. Responses to questions that ask about the frequency of occurrence in the past 30 days are considered affirmative if the respondent’s answer was greater than or equal to 3 days. Each affirmative response has a score of 1 for a total score ranging from 0 to 10 (18,19). Based on the responses, families are categorized as food secure (raw score 0–2), low food secure (raw score 3–5), or very low food secure (raw score 6–10). For this analysis, families categorized as low food secure or very low food secure are considered food insecure (40).

Marital status—Based on a series of questions that collect information from sample adults. “Married” includes all adults who identify themselves as married and who are not separated from their spouses. Married adults living apart because of the circumstances of their employment are considered married. Adults may identify themselves as married regardless of the legal status of the marriage or the sex of their spouse. “Widowed” includes adults who have lost their spouse due to death. “Divorced or separated” includes adults who are legally separated from their spouse or living apart for reasons of marital discord, and those who are divorced. “Never married” includes adults who were never married (or who were married and then had that marriage legally annulled). “Cohabiting” includes unmarried adults regardless of sex who are living together as a couple, but who do not identify themselves as married. This category may include adults who are currently divorced, widowed, or separated.

Race and Hispanic origin—Adults were classified into five race and Hispanic-origin groups: Asian non-Hispanic (subsequently, Asian), Black non-Hispanic (subsequently, Black), White non-Hispanic (subsequently, White), other and multiple races non-Hispanic (subsequently, other and multiple races), and Hispanic. Adults categorized as Hispanic may be of any race or combination of races. Adults categorized as Asian, Black, or White indicated one race only. Non-Hispanic adults of other and multiple races who did not identify as Asian, Black, White, or Hispanic, or who identified as more than one race, are combined into the other and multiple races category.

Urbanization level—In this report, urbanization level is measured using a condensed categorization of the NCHS urban–rural scheme (41,42). The NCHS urban–rural classification is based on metropolitan statistical area status defined by the Office of Management and Budget according to published standards that are applied to U.S. Census Bureau data. This report condenses the NCHS urban–rural classification into four categories: large central metropolitan (similar to inner cities), large fringe metropolitan (similar to suburbs), medium and small metropolitan, and nonmetropolitan (42,43). Large metropolitan areas have populations of 1 million or more. Metropolitan areas with populations of less than 1 million were classified as medium (250,000–999,999 population) or small (less than 250,000 population) (43).

Insurance coverage

For older adults, a health insurance hierarchy of six mutually exclusive categories was developed. This hierarchy eliminates duplicate responses for both private health insurance and Medicare Advantage, giving preference to the report of Medicare Advantage. Medicare Advantage is another way for adults covered by Medicare to get their Medicare Part A and Medicare Part B coverage. Medicare Advantage plans are sometimes called “Part C” and are offered by Medicare-approved companies that must follow rules set by Medicare (44). Older adults with more than one type of health insurance were assigned to the first appropriate category in the following hierarchy:

Private coverage—Includes older adults who have both Medicare and any comprehensive private health insurance plan (including health maintenance organizations, preferred provider organizations, and Medigap plans). This category also includes older adults with private insurance only but excludes those with a Medicare Advantage plan.

Medicare and Medicaid (dual-eligible)—Includes older adults who do not have any private coverage but who have Medicare and Medicaid or other state-sponsored health plans.

Medicare Advantage—Includes older adults who only have Medicare coverage through a Medicare Advantage plan.

Traditional Medicare only (excluding Medicare Advantage)—Includes older adults who only have Medicare coverage and who do not receive their coverage through a Medicare Advantage plan.

Other coverage—Includes older adults who have not been classified previously as having private, Medicare and Medicaid, Medicare Advantage, or traditional Medicare-only coverage. This category also includes older adults who have only Medicaid or other state-sponsored health plans, as well as adults who have any type of military coverage without Medicare.

Uninsured—Includes older adults who did not indicate that they are covered at the time of the interview by private health insurance, Medicare, Medicaid or other state-sponsored health plans, other government programs, or military coverage. This category also includes older adults who are covered by Indian Health Service only or who only have a plan that pays for one type of service, such as dental, vision, or prescription drugs. For this report, estimates are not shown for older adults who are uninsured as most older adults are eligible for health care coverage through Medicare (45).

Disability and health

Disability status—Categorized by the level of difficulty reported in the Washington Group Short Set on Functioning. The six domains of functioning include: seeing (even if wearing glasses), hearing (even if wearing hearing aids), mobility (walking or climbing stairs), communication (understanding or being understood by others), cognition (remembering or concentrating), and self-care (such as washing all over or dressing). Adults who responded “a lot of difficulty” or “cannot do at all” to at least one of the six questions are considered to have disabilities.

Health status—Based on the survey question, “Would you say your health in general is excellent, very good, good, fair, or poor?” Responses were divided into two categories: 1) excellent, very good, or good and 2) fair or poor.

Number of chronic conditions—The eight chronic conditions examined in this report are conditions covered in NHIS annually and are a subset of the 20 chronic conditions identified by the U.S. Department of Health and Human Services as part of an effort to foster a more consistent and standardized approach to measuring chronic conditions (46,47). Information on the remaining chronic conditions was not captured in NHIS and therefore could not be included in this report. Adults were asked if they had ever been told by a doctor or health care provider that they had hypertension, coronary heart disease, stroke, diabetes, cancer, or arthritis; currently had asthma; or had chronic obstructive pulmonary disease (COPD) (that is, ever had emphysema, or COPD, or had chronic bronchitis in the past 12 months).

National Center for Health Statistics

Brian C. Moyer, Ph.D., Director

Amy M. Branum, Ph.D., Associate Director for Science

Division of Health Interview Statistics

Stephen J. Blumberg, Ph.D., Director

Anjel Vahratian, Ph.D., M.P.H., Associate Director for Science

Division of Analysis and Epidemiology

Irma E. Arispe, Ph.D., Director

Kimberly A. Lochner, Sc.D., Associate Director for Science

For e-mail updates on NCHS publication releases, subscribe online at: https://www.cdc.gov/nchs/email-updates.htm.

For questions or general information about NCHS: Tel: 1–800–CDC–INFO (1–800–232–4636) • TTY: 1–888–232–6348

Internet: https://www.cdc.gov/nchs • Online request form: https://www.cdc.gov/info • S350973

Cohen RA, Mykyta L. Prescription medication use, coverage, and nonadherence among adults age 65 and older: United States, 2021–2022. National Health Statistics Reports; no 209. Hyattsville, MD: National Center for Health Statistics. 2024. DOI: https://dx.doi.org/10.15620/cdc/160016. [PMC free article]

All material appearing in this report is in the public domain and may be reproduced or copied without permission; citation as to source, however, is appreciated.
Bookshelf ID: NBK608618DOI: 10.15620/cdc/160016

Views

  • PubReader
  • Print View
  • Cite this Page
  • PDF version of this page (519K)

Similar articles in PubMed

See reviews...See all...

Recent Activity

Your browsing activity is empty.

Activity recording is turned off.

Turn recording back on

See more...