Evidence map›Paper›PMID 32937852›Full record

ArticleInternational journal of environmental research and public health2020

Structural and Social Determinants of Health Factors Associated with County-Level Variation in Non-Adherence to Antihypertensive Medication Treatment.

Macarius M Donneyong, Teng-Jen Chang, John W Jackson, Michael A Langston, Paul D Juarez, Shawnita Sealy-Jefferson, Bo Lu, Wansoo Im, R Burciaga Valdez, Baldwin M Way and 5 more

Open access · goldAbstract read
In one paragraph

Article in International journal of environmental research and public health, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed
3.3field-weighted citation impact, top 8% of its field
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

20 citing papers in PubMed, 22 citations in OpenAlex.

  1. Review
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Factors Affecting Adherence in Allergic Disorders and Strategies for Improvement.The journal of allergy and clinical immunology. In practice · 2024
    Review
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Impact of Socioeconomic Status on Heart Failure.Journal of community hospital internal medicine perspectives · 2023
    Review
  15. Review
  16. Place-based heterogeneity in lung transplant recipient outcomes.American journal of transplantation : official journal of the American Society of Transplantation and the American Society of Transplant Surgeons · 2022
    Article
  17. Article
  18. Article
  19. Article
  20. Medication Adherence: Expanding the Conceptual Framework.American journal of hypertension · 2021
    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

15 authors at 6 institutions in 1 country.

Macarius M DonneyongCollege of Pharmacy, Ohio State University, Columbus, OH 43210, USA.ORCID 0000-0003-2710-913X
Teng-Jen ChangCollege of Pharmacy, Ohio State University, Columbus, OH 43210, USA.
John W JacksonDepartments of Epidemiology and Mental Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD 21205, USA.
Michael A LangstonDepartment of Electrical Engineering and Computer Science, University of Tennessee, Knoxville, TN 37996, USA.ORCID 0000-0001-5945-5796
Paul D JuarezDepartment of Family and Community Medicine, Meharry Medical College, Nashville, TN 37208, USA.ORCID 0000-0002-3120-7333
Shawnita Sealy-JeffersonCollege of Public Health, Ohio State University, Columbus, OH 43210, USA.ORCID 0000-0002-8449-4903
Bo LuCollege of Public Health, Ohio State University, Columbus, OH 43210, USA.
Wansoo ImDepartment of Family and Community Medicine, Meharry Medical College, Nashville, TN 37208, USA.ORCID 0000-0002-9519-8536
R Burciaga ValdezFamily & Community Medicine, University of New Mexico, Albuquerque, NM 87131, USA.
Baldwin M WayDepartment of Psychology, Ohio State University, Columbus, OH 43210, USA.ORCID 0000-0002-9618-0979
Cynthia ColenCollege of Public Health, Ohio State University, Columbus, OH 43210, USA.
Michael A FischerDivision of Pharmacoepidemiology and Pharmacoeconomics, Brigham & Women's Hospital, Boston, MA 02115, USA.ORCID 0000-0002-4685-164X
Pamela SalsberryCollege of Public Health, Ohio State University, Columbus, OH 43210, USA.ORCID 0000-0001-7263-3702
John F P BridgesDepartment of Biomedical Informatics, Ohio State University, Columbus, OH 43210, USA.
Darryl B HoodCollege of Public Health, Ohio State University, Columbus, OH 43210, USA.ORCID 0000-0003-3053-1024
The Ohio State University · USMeharry Medical College · USBrigham and Women's Hospital · USJohns Hopkins University · USUniversity of New Mexico · USUniversity of Tennessee at Knoxville · US

Funding

Systems Science for Translational Health Disparities ResearchK01HL145320 · NHLBI · JOHNS HOPKINS UNIVERSITY · PI JACKSON, JOHN WILLIAM · 2019 to 2023
$832k
NHLBI NIH HHS K01 HL145320
6 · The paper itself

Abstract

backgroundNon-adherence to antihypertensive medication treatment (AHM) is a complex health behavior with determinants that extend beyond the individual patient. The structural and social determinants of health (SDH) that predispose populations to ill health and unhealthy behaviors could be potential barriers to long-term adherence to AHM. However, the role of SDH in AHM non-adherence has been understudied. Therefore, we aimed to define and identify the SDH factors associated with non-adherence to AHM and to quantify the variation in county-level non-adherence to AHM explained by these factors.

methodsTwo cross-sectional datasets, the Centers for Disease Control and Prevention (CDC) Atlas of Heart Disease and Stroke (2014-2016 cycle) and the 2016 County Health Rankings (CHR), were linked to create an analytic dataset. Contextual SDH variables were extracted from the CDC-CHR linked dataset. County-level prevalence of AHM non-adherence, based on Medicare fee-for-service beneficiaries' claims data, was extracted from the CDC Atlas dataset. The CDC measured AHM non-adherence as the proportion of days covered (PDC) with AHM during a 365 day period for Medicare Part D beneficiaries and aggregated these measures at the county level. We applied confirmatory factor analysis (CFA) to identify the constructs of social determinants of AHM non-adherence. AHM non-adherence variation and its social determinants were measured with structural equation models.

resultsAmong 3000 counties in the U.S., the weighted mean prevalence of AHM non-adherence (PDC < 80%) in 2015 was 25.0%, with a standard deviation (SD) of 18.8%. AHM non-adherence was directly associated with poverty/food insecurity (β = 0.31,

conclusionAHM non-adherence varies by geographical location, one-third of which is explained by contextual SDH factors including poverty/food insecurity, weak social supports and healthy built environments.

Indexed as

Antihypertensive AgentsHypertensionSocial Determinants of HealthAgedCross-Sectional StudiesFemaleHumansMaleMedicareMedication AdherenceUnited StatesAntihypertensive Agentsadherenceantihypertensive medicationsCDC Atlascounty health rankingshypertensionsocial determinants of health

Identifiers

PMID32937852
PMCPMC7557537
OpenAlexW3085771056

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.