Evidence map›Paper›PMID 32212235›Full record

ArticleJournal of evaluation in clinical practice2021

Can one or two simple questions predict poor medication adherence?

Bruce C Stuart, Veronica Timmons, Feng-Hua E Loh, Mingliang Dai, Jing Xu

Abstract read
In one paragraph

Article in Journal of evaluation in clinical practice, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

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

  1. Pooled it
  2. Review
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

5 authors.

Bruce C StuartDepartment of Pharmaceutical Health Services Research, University of Maryland School of Pharmacy, Baltimore, Maryland, USA.
Veronica TimmonsDepartment of Pharmacy Practice and Sciences, University of Maryland School of Pharmacy, Baltimore, Maryland, USA.
Feng-Hua E LohDepartment of Pharmaceutical Health Services Research, University of Maryland School of Pharmacy, Baltimore, Maryland, USA.ORCID https://orcid.org/0000-0003-3457-3010
Mingliang DaiDivision of Gerontology, Department of Epidemiology and Public Health, University of Maryland School of Medicine, Baltimore, Maryland, USA.
Jing XuDivision of Gerontology, Department of Epidemiology and Public Health, University of Maryland School of Medicine, Baltimore, Maryland, USA.

Funding

Short-term Training Program on AgingT35AG036679 · NIA · UNIVERSITY OF MARYLAND BALTIMORE · PI CAREY, GREGORY B · 2010 to 2014
$704k
NIA NIH HHS T35 AG036679NIA Short-Term Training T35AG036679
6 · The paper itself

Abstract

RATIONALE, AIMS, AND

objectivesPoor adherence to evidence-based medications is a major problem in conventional clinical practise. Better prognostic tools are needed to identify those with the highest likelihood of being non-adherent. The objective of this study is to determine if a 2-item patient activation status (PAS) measure identifies Medicare beneficiaries at risk of poor adherence to drugs typically recommended in treating type 2 diabetes.

methodsPAS and medication adherence were assessed for respondents to the 2009 Medicare Current Beneficiary Survey and then compared using bivariate and multivariate tests. Participants' PAS was classified as "active," "high effort," "complacent," or "passive" based on how confident they were in identifying needed medical care and whether they brought medication lists to their doctors' visits. Adherence with oral antidiabetic drugs, angiotensin-converting enzyme-inhibitors/angiotensin receptor blockers, and statins was assessed using proportion of days covered (PDC).

resultsA total of 940 Medicare beneficiaries with diabetes enrolled in Part D plans in 2009. The overall effect of PAS on medication adherence was small (3% lower PDC for complacent/passive vs active/high effort beneficiaries, P < 0.10). However, interactions of complacent/passive PAS with other characteristics associated with poor adherence identified certain subgroups as especially prone to problematic adherence: age < 65 (PDC -11%, P < 0.05), non-Hispanic black (PDC -13%, P < 0.05), and morbidly obese (-9%, P < 0.10).

conclusionA single question relating to taking medication lists to doctor visits may help identify patient subgroups prone to poor adherence in conventional practise, but larger samples are necessary to validate and extend these findings.

Indexed as

Diabetes Mellitus, Type 2Obesity, MorbidAgedAngiotensin-Converting Enzyme InhibitorsHumansMedicareMedication AdherenceUnited StatesAngiotensin-Converting Enzyme Inhibitorsmedication adherencepatient activation

Identifiers

PMID32212235
PMCPMC9829406

What OpenQuestion holds

Textmetadata
LicenceTDM
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.