Evidence map›Paper›PMID 28645958›Full record

ArticleBMJ open2017

Factors predicting self-reported medication low adherence in a large sample of adults in the US general population: a cross-sectional study.

Michael Feehan, Margaux A Morrison, Casey Tak, Donald E Morisky, Margaret M DeAngelis, Mark A Munger

Erratum issuedOpen access · goldAbstract read
In one paragraph

Article in BMJ open, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 26 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
26citing papers in PubMed, 1 pooled it
3.2field-weighted citation impact, top 9% 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

26 citing papers in PubMed, 1 synthesis or guideline pooled it, 33 citations in OpenAlex.

  1. The Japanese Society of Hypertension Guidelines for the Management of Hypertension (JSH 2019).Hypertension research : official journal of the Japanese Society of Hypertension · 2019
    Guideline
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  7. Untreated and uncontrolled hypertension in Japanese patients with spontaneous intracerebral hemorrhage.Hypertension research : official journal of the Japanese Society of Hypertension · 2025
    Article
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

6 authors at 2 institutions in 1 country.

Michael FeehanThe Department of Pharmacotherapy, College of Pharmacy, University of Utah, Salt Lake City, Utah, USA.ORCID 0000-0002-3921-1089
Margaux A MorrisonThe Moran Eye Center, Department of Ophthalmology and Visual Sciences, Moran Eye Centre, University of Utah School of Medicine, Salt Lake City, Utah, USA.
Casey TakThe Department of Pharmacotherapy, College of Pharmacy, University of Utah, Salt Lake City, Utah, USA.
Donald E MoriskyDepartment of Community Health Sciences, UCLA Fielding School of Public Health, Los Angeles, California, USA.
Margaret M DeAngelisThe Moran Eye Center, Department of Ophthalmology and Visual Sciences, Moran Eye Centre, University of Utah School of Medicine, Salt Lake City, Utah, USA.
Mark A MungerThe Department of Pharmacotherapy, College of Pharmacy, University of Utah, Salt Lake City, Utah, USA.
University of Utah · USUCLA Health · US

Funding

University of Utah, Core Vision Research GrantP30EY014800 · NEI · UTAH STATE HIGHER EDUCATION SYSTEM--UNIVERSITY OF UTAH · PI Bryan William Jones · 2005 to 2026
$14.6M
Vision Research Training Grant at the University of UtahT32EY024234 · NEI · UTAH STATE HIGHER EDUCATION SYSTEM--UNIVERSITY OF UTAH · PI DAVID KRIZAJ, Monica L Vetter · 2014 to 2026
$2.3M
NEI NIH HHS P30 EY014800NEI NIH HHS T32 EY024234
6 · The paper itself

Abstract

objectivesThe study objective was to determine the level and correlates of self-reported medication low adherence in the US general population.

settingA 30 min cross-sectional online survey was conducted with a national sample of adults.

participants9202 adults (aged 18+) who had filled at least three or more prescriptions at a community pharmacy in the past 12 months. PRIMARY AND SECONDARY OUTCOME MEASURES: Self-reported medication adherence was measured with the 8-item Morisky Medication Adherence Scale.

resultsLow adherence was reported by 42.0%, 29.4% had medium adherence and 28.6% had high adherence. Low adherence was significantly associated with: lower age, being of Hispanic origin or African-American, having difficulty with healthcare, medication or transportation costs, needing the support of others to access primary care, health limiting activity, using multiple providers, infrequent visits to primary care providers and visiting an emergency department >3 times in last 12 months.

conclusionsA very high level of low medication adherence is seen in the general population, particularly for ethnic minorities, those who use multiple healthcare providers and those who experience barriers to access for regular primary care. As clinical, patient education and counselling, and healthcare policy initiatives are directed to tracking the problem of low medication adherence, these should be priority populations for research and interventions.

Indexed as

Drug MonitoringEthnicityHealth Knowledge, Attitudes, PracticePatient Acceptance of Health CareAdolescentAdultAgedCross-Sectional StudiesFemaleHealth StatusHumansIncomeInsurance, HealthLogistic ModelsMaleMiddle AgedAdherenceHealth behaviorPrescribingPublic health

Identifiers

PMID28645958
PMCPMC5623408
OpenAlexW2709635584

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.