Abstract
Introduction
The purpose of this paper is to examine potential disparities in the receipt of high-priority, clinical preventive services among adults.
Methods
The study is based on a cross-sectional survey from the Agency for Healthcare Research and Quality (AHRQ) Medical Expenditure Panel Survey (MEPS), 2018 and includes non-institutionalized adults age ≥ 35 in the United States (n = 14,615). The primary outcome measure is a composite measure that assesses receipt of fifteen high-priority clinical preventive services.
Results
Results provide the first national estimates of disparities in receipt of all recommended high-priority preventive services. Receipt of all recommended preventive services among adults age ≥ 35 was low (6%). Multivariable regression analysis found sizable disparities associated with all sociodemographic characteristics examined. Black adults were 37% less likely than white adults (OR: 0.63, CI 0.46-0.86); those with a high school education or less were less than half as likely as college graduates (≤ HS OR: 0.44, CI 0.32-0.61, HS grad OR: 0.46, CI 0.36-0.59); poor and low income individuals were much less likely than those with higher incomes (Poor OR: 0.66, CI 0.48-0.90, low income OR: 0.70, CI 0.53-0.92); the uninsured were 89% less likely than those with private insurance (OR: 0.11, CI 0.04-0.27); adults who spoke a language other than English had 35% lower odds than those who spoke English (OR: 0.65, CI 0.45-0.95) to receive all high-priority services.
Conclusions
Improving population health depends upon effective strategies to increase uptake of high-priority preventive services while reducing disparities in receipt of these services.
Avoid common mistakes on your manuscript.
1 Introduction
Health disparities span the continuum of health and healthcare –from prevention, diagnosis, to treatment and ongoing management [1,2,3]. Prior research demonstrated that receipt of recommended clinical preventive services is suboptimal and varies by preventive service [4,5,6]. Previously, we examined a composite of receipt of high-priority clinical preventive services by adults age ≥ 35 years and older, a measure of person-centered prevention. A prior study using this measure found that in 2015, only 8 percent of US adults ages 35 and older received all of their high-priority recommended clinical preventive services [5]. Sample size precluded assessment of disparities in receipt of these services associated with race/ethnicity and other sociodemographic characteristics.
In 2018, the Agency for Healthcare Research and Quality (AHRQ) began incorporating biannually the prevention questions that comprised the composite into the Medical Expenditure Panel Survey (MEPS), allowing production of national estimates of disparities in the use of high-priority, recommended clinical preventive services. The preventive services included measures of screening (e.g., blood pressure and colon cancer), screening and counseling (e.g., tobacco use), vaccinations (e.g., flu), and preventive medications (e.g., aspirin use) [5, 6]. More specifically they include: alcohol use screening & counseling, aspirin use discussion, blood pressure screening, breast cancer screening, cervical cancer screening, cholesterol screening, colon cancer screening, depression screening, flu vaccination, obesity screening & counseling, osteoporosis screening, pneumococcal vaccination, PSA screening, tobacco use screening & counseling, and Zoster vaccination.
The purpose of this paper is to examine potential disparities in the receipt of high-priority, clinical preventive services among adults.
2 Methods
Data from the AHRQ MEPS, Self-Administered Questionnaire (SAQ), Panel 23, Round 2 and Panel 22, Round 4 from the 2018 Full Year Consolidated public use file were used, including adults age ≥ 35 (n = 14,615). See Table 1.
The SAQ, response rate 87%, includes questions about the receipt of fifteen high-priority clinical preventive services identified and prioritized with input from an expert National Steering Committee [6]. The number of recommended preventive services varied based on age, sex, and medical history (min: 7; max: 13). Some medical histories affect eligibility for screening (e.g., an individual does not have the organ to be screened or previously was diagnosed with cancer affecting that part of the body). The composite measure accounts for both receipt of the service and clinical reasons for not receiving. The composite measure was designed to capture whether a person received all high-priority, appropriate clinical preventive services for his or her age group [5, 6].
More details about the survey questions, measures and eligibility are available in prior publications and available at: https://meps.ahrq.gov/data_files/publications/rf41/rf41.shtml [5, 6].
We examined differences in receipt of all recommended high-priority services associated with sex; race/ethnicity; education; region; insurance; income level; language spoken; help with activities of daily living (ADL) (e.g., bathing, dressing), instrumental activities of daily living (IADL) (e.g., using the telephone, paying bills), and use of assistive devices (AID) (e.g., walker); and having 3 or more chronic conditions.
Analyses were conducted using both SAS and Stata statistical software packages. Survey design variables and appropriate sample weights were utilized to account for the complex sample design of MEPS. Bivariable analyses were performed using the Rao-Scott chi-square test adjustment to test for statistical differences. Multivariable analyses were conducted using logistic regression and the evaluation of resulting odds ratios. Study limitations were described previously and include limitations of self-reported measures and potential for recall bias [5].
This study was conducted as an AHRQ intramural research project (IM21688) and deemed exempt from IRB review. MEPS data is publicly available.
3 Results
Overall receipt of all recommended preventive services among adults age ≥ 35 was low (6%). There were significant differences based on age, race/ethnicity, language spoken, chronic conditions, insurance status, education, and income (See Table 2). In bivariable analyses, receipt varied by age—4.5% of adults 50–64 received all of their recommended high-priority preventive services, compared to 7% of adults 35–49 and 65–74. Less than 4% of Black non-Hispanic adults and Hispanic adults received their recommended services, compared to nearly 7% of White non-Hispanic adults. Half the proportion of adults who spoke a language other than English compared to adults who spoke English received their recommended services (3.6% vs. 6.7%). One-third the proportion of adults who did not graduate high school compared to adults with a college degree or higher received their recommended preventive services (3.0% vs 9.0%). Only 3.6% of adults classified as poor received all services but 7.7% of adults with high income did.
Less than 0.5% of uninsured adults received all recommended preventive services, compared with 6.4% of adults under 65 with any private health insurance and slightly more than 5% of adults with public only insurance. For adults over 65 years, 5.3% of adults 65 + with Medicare only and 4.3% of adults with Medicare and other public only received all services, compared with approximately 8.5% with Medicare and private insurance. Approximately half of adults with fewer than three chronic conditions compared to adults with three or more chronic conditions received these services as (4.9% vs. 8.7%). There were no statistically significant differences based on sex, region, or having any AID/ADL/IADLs.
Table 3 shows the results from the multivariable analysis. In multivariable models, the following adults were less likely to receive all recommended high-priority preventive services: black adults (compared to white adults); adults who are not a high school graduate, high school graduate or GED, or some college but no degree (compared to college or higher); uninsured (compared to any private); adults who are experiencing poverty, low income, or middle income (compared to high income); speak languages other than English (compared to no languages other than English); and adults with less than 3 chronic conditions (compared to those with 3 + chronic conditions).
Black adults had 37% lower odds than white adults of receiving all recommended services (OR: 0.63, CI 0.46–0.86). Adults who were uninsured had 89% lower odds than those with private insurance of receiving all services (OR: 0.11, CI 0.04–0.27). Adults who spoke a language other than English compared to those who didn't had 35% lower odds of receiving all services (OR: 0.65, CI 0.45–0.95).
While only 6 percent of all adults 35 + are receiving all of their recommended preventive services, there is variation, and some adults are getting close to receiving all services. Nearly 30% of adults are receiving 76–100% of their recommended preventive services and more than 60% are receiving at least half. On the other side of the distribution, more than 14% received between 0 and 25% of their recommended preventive services (see Fig. 1).
When looking at the individual preventive services that comprise the composite, some were more likely to be received than others and many of these differences varied by sex, race/ethnicity, and income level. While many adults received blood pressure screening (86.7%), other preventive services such as alcohol use screening and counseling (38.4%), depression screening (40.3%), tobacco use screening and counseling (57.5%), zoster vaccination (43.7%), and flu vaccination (46.6%), and were less frequently received (See Table 4).
4 Discussion and conclusions
This study provides the first national estimates of disparities in receipt of all recommended high-priority preventive services, a measure of person-centered prevention. Receipt of all recommended preventive services among adults age ≥ 35 was low (6%). Multivariable regression analysis found sizable disparities associated with all sociodemographic characteristics examined. We found that Black adults, adults with less education, adults who are uninsured, adults with lower income, and adults who spoke a language other than English were less likely to receive their recommended preventive services. While the passage of the Affordable Care Act increased access to care and coverage of preventive services without cost sharing [7], these results show a continuing need to identify and implement effective ways to equitably increase uptake of preventive services. These results also highlight the need to dig deeper into the reasons for the low overall receipt of preventive services (e.g., transportation, time, childcare barriers) as well as the root cause of the disparities (e.g., structural barriers), which will be important for the development of interventions to address them.
COVID-19 has negatively affected access to care and preventive services, necessitating a concerted focus on prevention [8,9,10]. Improving receipt of preventive care is the priority of Federal agencies, including the Department of Veterans Affairs and the Agency for Healthcare Research and Quality (AHRQ) [11, 12].
Improving population health depends upon effective strategies to increase uptake of high-priority preventive services while reducing disparities in receipt of these services. These findings can guide the implementation, evaluation, and scaling of interventions to achieve equity in the delivery of preventive services including enhanced models of primary care, use of digital health solutions, linkages between clinical care and public health and community-based organizations [13, 14].
Data availability
AHRQ Medical Expenditure Panel Survey (MEPS) is publicly available at: https://meps.ahrq.gov/mepsweb/
References
2021 National Healthcare Quality and Disparities Report. 2021, Agency for Healthcare Research and QUality: Rockville, MD.
Davidson KW, et al. Actions to transform US preventive services task force methods to mitigate systemic racism in clinical preventive services. JAMA. 2021;326(23):2405–11.
Doubeni CA, Simon M, Krist AH. Addressing systemic racism through clinical preventive service recommendations from the US preventive services task force. JAMA. 2021;325(7):627–8.
Song S, White A, Kucik JE. Use of selected recommended clinical preventive services - behavioral risk factor surveillance system, United States, 2018. MMWR Morb Mortal Wkly Rep. 2021;70(13):461–6.
Borsky A, Mitchell E, Machlin S, Bierman A, Zhan C, Miller T, Ngo-Metzger Q, Meyers D. Use of selected recommended clinical preventive services medical expenditure panel survey (MEPS), 2015. Rockville: Agency for Healthcare Research and Quality; 2019.
Borsky A, et al. Few Americans receive all high-priority, appropriate clinical preventive services. Health Aff. 2018;37(6):925–8.
ASPE, Access to preventive services without cost-sharing: evidence from the affordable care act. 2022. https://aspe.hhs.gov/sites/default/files/documents/786fa55a84e7e3833961933124d70dd2/preventive-services-ib-2022.pdf
Laing S, Johnston S. Estimated impact of COVID-19 on preventive care service delivery: an observational cohort study. BMC Health Serv Res. 2021;21(1):1107.
Song H, et al. Disruptions in preventive care: mammograms during the COVID-19 pandemic. Health Serv Res. 2021;56(1):95–101.
Mehrotra A et al. The impact of the COVID-19 pandemic on outpatient visits: a rebound emerges, The Commonwealth Fund. 2020.
Department of Veterans Affairs, What is Health Systems Research. https://www.hsrd.research.va.gov/funding/what-is-hsr.cfm
VA, Health Services Research and Development Research Priorities, H.S.R.a.D. Service, Editor. 2022.
Syed ST, Gerber BS, Sharp LK. Traveling towards disease: transportation barriers to health care access. J Community Health. 2013;38(5):976–93.
Allen EM, et al. Barriers to care and health care utilization among the publicly insured. Med Care. 2017;55(3):207–14. https://www.commonwealthfund.org/publications/2020/apr/impact-covid-19-outpatientvisits
Acknowledgements
The authors appreciate the efforts of Kevin D. Schott, ScD; Gregory Foster, MPH, MA; and Xiaowen Liu, MS of the American Institutes for Research in the data production and preparation of the exhibits; and Megan M. Hambrick, MSW of Agency for Healthcare Research and Quality (AHRQ) in facilitating the final paper review process. The findings and conclusions in this document are those of the authors, who are responsible for its content, and do not necessarily represent the views of AHRQ or the Department of Veterans Affairs. No statement in this report should be construed as an official position of AHRQ, the US Department of Health and Human Services, the Department of Veterans Affairs, or the United States Government.
Funding
No funding was received for conducting this study. This study was part of an intramural research project at AHRQ.
Author information
Authors and Affiliations
Contributions
A.E.B. drafted the initial main manuscript text. M.Z. led data analyses and methods. A.E.B., M.Z., T.W., Q.N.M., N.M., and A.S.B. participated in conceptualization of the manuscript, as well as reviewed, revised, edited and provided comments on the manuscript.
Corresponding author
Ethics declarations
Ethics approval and consent to participate
This is a secondary data analysis study using publicly available data. This study was conducted as an AHRQ intramural research project (IM21688) and deemed exempt from IRB review.
Consent for publication
This is a secondary data analysis study using publicly available data; no further consent was needed or obtained. This study was deemed exempt from IRB review.
Competing interests
The authors have no relevant financial or non-financial interests to disclose.
Additional information
Publisher's Note
Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
Rights and permissions
Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/.
About this article
Cite this article
Borsky, A.E., Zodet, M., Wolff, T.A. et al. Disparities in receipt of high-priority clinical preventive services. Discov Health Systems 3, 76 (2024). https://doi.org/10.1007/s44250-024-00138-x
Received:
Accepted:
Published:
DOI: https://doi.org/10.1007/s44250-024-00138-x