Evidence map›Paper›PMID 23291338›Full record

ArticleResearch in social & administrative pharmacy : RSAP

Prevalence and correlates of self-reported medication non-adherence among older adults with coronary heart disease, diabetes mellitus, and/or hypertension.

Zachary A Marcum, Yan Zheng, Subashan Perera, Elsa Strotmeyer, Anne B Newman, Eleanor M Simonsick, Ronald I Shorr, Douglas C Bauer, Julie M Donohue, Joseph T Hanlon and 1 more

Abstract read
In one paragraph

Article in Research in social & administrative pharmacy : RSAP. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 58 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
58citing papers in PubMed, 1 pooled it
–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

58 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Trial
  3. Trial
  4. Trial
  5. Article
  6. Review
  7. Article
  8. Pre-stroke Adherence to Hypertension Medications in a Bi-racial United States Stroke Belt.High blood pressure & cardiovascular prevention : the official journal of the Italian Society of Hypertension · 2023
    Article
  9. Article
  10. Article
  11. Review
  12. Article
  13. Behavioral Factors Associated with Medication Nonadherence in Patients with Hypertension.International journal of environmental research and public health · 2021
    Article
  14. Article
  15. Primary Care Records of Chronic-Disease Patient Adherence to Treatment.International journal of environmental research and public health · 2021
    Article
  16. Article
  17. Article
  18. Review
  19. Review
  20. 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

11 authors.

Zachary A MarcumDepartment of Medicine (Geriatrics), School of Medicine, University of Pittsburgh, Pittsburgh, PA, USA. Electronic address: zam12@pitt.edu.
Yan Zheng
Subashan Perera
Elsa Strotmeyer
Anne B Newman
Eleanor M Simonsick
Ronald I Shorr
Douglas C Bauer
Julie M Donohue
Joseph T Hanlon
Health ABC Study

Funding

University of Pittsburgh Clinical and Translational Science InstituteUL1TR000005 · NCATS · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI REIS, STEVEN E · 2012 to 2015
$50.8M
VARIABILITY, STABILITY & SMOOTHNESS OF WALKINGP30AG024827 · NIA · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI JENNIFER S BRACH · 2004 to 2026
$28.6M
University of Pittsburgh Clinical and Translational Science InstitutionKL2TR000146 · NCATS · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI REIS, STEVEN E · 2012 to 2015
$8.7M
Peripheral Nerve Function Decline in an Aged CohortR01AG028050 · NIA · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI STROTMEYER, ELSA S. · 2007 to 2015
$3.5M
End of Life in the Very OldR01NR012459 · NINR · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI ALBERT, STEVEN M, LUNNEY, JUNE R · 2011 to 2015
$2.7M
Intervention to Reduce Dietary Sodium in HemodialysisR01NR010135 · NINR · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI SEVICK, MARY A · 2008 to 2011
$2.3M
Enhancing the Detection and Management of Adverse Drug Events in the Nursing HomeR01HS018721 · AHRQ · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI HANDLER, STEVEN MARK · 2010 to 2013
$2.0M
The University of Pittsburgh's Comparative Effectiveness Research Scholars PrograK12HS019461 · AHRQ · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI KAPOOR, WISHWA N · 2010 to 2010
$1.9M
Biomarkers of Homestatic Dysregulation in Aging and Chronic DiseaseZIAAG000971 · NIA · NATIONAL INSTITUTE ON AGING · PI FERRUCCI, LUIGI · 2009 to 2025
$1.9M
Biomarker Research in Musculoskeleton DiseaseK24AR051895 · NIAMS · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI BAUER, DOUGLAS C · 2005 to 2015
$1.5M
DYNAMICS OF HEALTH .AGING . AND BODY COMPOSITION /Pittsburgh/-260962101N01AG062101 · NIA · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · 1996 to 2004
$996k
Longitudinal Impact of CNS Polypharmacy on Geriatric SyndromesR01AG027017 · NIA · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI HANLON, JOSEPH T · 2006 to 2012
$801k
AHRQ HHS K12 HS019461AHRQ HHS R01 HS017695AHRQ HHS R01 HS018721AHRQ HHS R01HS018721NCATS NIH HHS KL2 TR000146NCATS NIH HHS UL1 TR000005NIAMS NIH HHS K24 AR051895NIA NIH HHS K07 AG033174NIA NIH HHS K07-AG-033174NIA NIH HHS N01 AG062101NIA NIH HHS N01-AG-6-2101NIA NIH HHS N01-AG-6-2103NIA NIH HHS N01-AG-6-2106NIA NIH HHS P30 AG024827NIA NIH HHS P30-AG-024827NIA NIH HHS R01 AG027017NIA NIH HHS R01 AG028050NIA NIH HHS R01 AG034056NIA NIH HHS R01AG034056NIA NIH HHS R01-AG-28050NIA NIH HHS R56 AG027017NIA NIH HHS R56AG 027017NINR NIH HHS R01 NR010135NINR NIH HHS R01 NR012459NINR NIH HHS R01-NR12459
6 · The paper itself

Abstract

backgroundInformation about the prevalence and correlates of self-reported medication nonadherence using multiple measures in older adults with chronic cardiovascular conditions is needed.

objectiveTo examine the prevalence and correlates of self-reported medication nonadherence among community-dwelling elders with chronic cardiovascular conditions.

methodsParticipants (n = 897) included members from the Health, Aging and Body Composition Study with coronary heart disease, diabetes mellitus, and/or hypertension at Year 10. Self-reported nonadherence was measured by the 4-item Morisky Medication Adherence Scale (MMAS-4) and 2-item cost-related nonadherence (CRN-2) scale at Year 11. Factors (demographic, health status, and access to care) were examined for association with the MMAS-4 and then for association with the CRN-2 scale.

resultsNonadherence per the MMAS-4 and CRN-2 scale was reported by 40.7% and 7.7% of participants, respectively, with little overlap (3.7%). Multivariable logistic regression analyses found that black race was significantly associated with nonadherence per the MMAS-4 (P = 0.002) and the CRN-2 scale (P = 0.005). Other correlates of nonadherence per the MMAS-4 (with independent associations) included having cancer (P = 0.04), a history of falls (P = 0.02), sleep disturbances (P = 0.04) and having a hospitalization in the previous 6 months (P = 0.005). Conversely, being unmarried (P = 0.049), having worse self-reported health (P = 0.04) and needs being poorly met by income (P = 0.02) showed significant independent associations with nonadherence per the CRN-2 scale.

conclusionsSelf-reported medication nonadherence was common in older adults with chronic cardiovascular conditions and only one factor - race - was associated with both types. The research implication of this finding is that it highlights the need to measure both types of self-reported nonadherence in older adults. Moreover, the administration of these quick measures in the clinical setting should help identify specific actions such as patient education or greater use of generic medications or pill boxes that may address barriers to medication nonadherence.

Indexed as

Drug MonitoringAgedAged, 80 and overCoronary DiseaseDiabetes MellitusFemaleHumansHypertensionMalePrevalenceSelf ReportAgedChronic diseaseMedication adherence

Identifiers

PMID23291338
PMCPMC3620923

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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.