Evidence map›Paper›PMID 39998018›Full record

ArticlePharmacy (Basel, Switzerland)2025

Social Determinants of Health and Medication Adherence in Older Adults with Prevalent Chronic Conditions in the United States: An Analysis of the National Health and Nutrition Examination Survey (NHANES) 2009-2018.

Omolola A Adeoye-Olatunde, Tessa J Hastings, Michelle L Blakely, LaKeisha Boyd, Azeez B Aina, Fatimah Sherbeny

Abstract read
In one paragraph

Article in Pharmacy (Basel, Switzerland), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

  1. Article
  2. Reducing Medication-Related Harm Through Home-Based Primary Care.Journal of the American Geriatrics Society · 2026
    Article
  3. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Omolola A Adeoye-OlatundeDepartment of Pharmacy Practice, College of Pharmacy, Purdue University, West Lafayette, IN 47907, USA.ORCID 0000-0002-2907-3524
Tessa J HastingsDepartment of Clinical Pharmacy and Outcomes Sciences, University of South Carolina College of Pharmacy, Columbia, SC 29208, USA.
Michelle L BlakelyDepartment of Pharmaceutical Sciences, University of Wyoming School of Pharmacy, Laramie, WY 82071, USA.
LaKeisha BoydDepartment of Biostatistics and Health Data Science, Indiana University School of Medicine and Richard M. Fairbanks School of Public Health, Indianapolis, IN 46202, USA.
Azeez B AinaDepartment of Pharmacy Practice, College of Pharmacy, Purdue University, West Lafayette, IN 47907, USA.ORCID 0000-0001-7739-2506
Fatimah SherbenyInstitute of Public Health, College of Pharmacy and Pharmaceutical Sciences, Florida A&M University, Tallahassee, FL 32307, USA.ORCID 0000-0003-1597-3967

Funding

Quality Assurance and Quality Control Project Management: Improving Submissions and Study Conduct in the Human Subjects Research Prior Approval ProcessUL1TR002529 · NCATS · INDIANA UNIVERSITY INDIANAPOLIS · PI MOE, SHARON M, WIEHE, SARAH ELIZABETH · 2018 to 2022
$27.2M
Indiana Clinical and Translational Sciences Institute UL1TR002529NCATS NIH HHS UL1 TR002529
6 · The paper itself

Abstract

backgroundThe older adult population is rapidly expanding in the United States (US), with a high prevalence of high blood pressure, high cholesterol, and diabetes. Medication nonadherence is prevalent in this population, with less evidence on the influence of social determinants of health (SDoH). Thus, the objective of this study was to identify and prioritize SDoH associated with medication adherence among US older adults with these comorbidities.

methodUsing the World Health Organization Commission on Social Determinants of Health and Pharmacy Quality Alliance Medication Access Conceptual Frameworks, publicly available National Health and Nutrition Examination Survey datasets (2009-2018) were cross-sectionally analyzed among respondents aged 65 and older who were diagnosed with study diseases. Data analyses included descriptive statistics, and logistic regression using an alpha level of 0.05.

resultAnalyses included 5513 respondents' data. Bivariate analysis revealed significant differences in medication adherence based on several structural (e.g., ethnicity) and intermediary (e.g., disability status) determinants of health. Multivariable analysis revealed significant differences in medication adherence for alcohol consumption (

conclusionsThe study findings underscore pertinent implications for public health and policy, with specific SDoH being the most likely to affect medication adherence in common chronic conditions among older adults in the US.

Indexed as

diabeteshigh blood pressurehigh cholesterolmedication adherenceolder adultssocial factors

Identifiers

PMID39998018
PMCPMC11859998

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