Evidence map›Paper›PMID 36180813›Full record

SynthesisClinical drug investigation2022

Measurement Properties of Patient-Reported Outcome Measures for Medication Adherence in Cardiovascular Disease: A COSMIN Systematic Review.

Henok G Tegegn, Stuart Wark, Edouard Tursan d'Espaignet, M Joy Spark

Open access · hybridAbstract readSystematic Review
In one paragraph

Synthesis in Clinical drug investigation, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed, 1 pooled it
2.8field-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

13 citing papers in PubMed, 1 synthesis or guideline pooled it, 16 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Factors associated with medication adherence trajectory among patients treated with oral anticancer drugs: a multicentre cohort study.Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer · 2025
    Observational
  8. Review
  9. Article
  10. Innovative Approaches to Enhance and Measure Medication Adherence in Chronic Disease Management: A Review.Medical science monitor : international medical journal of experimental and clinical research · 2024
    Review
  11. Review
  12. Observational
  13. 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

4 authors at 3 institutions in 2 countries.

Henok G TegegnSchool of Rural Medicine, University of New England, Armidale, 2351, Australia.
Stuart WarkSchool of Rural Medicine, University of New England, Armidale, 2351, Australia.
Edouard Tursan d'EspaignetSchool of Rural Medicine, University of New England, Armidale, 2351, Australia.
M Joy SparkSchool of Rural Medicine, University of New England, Armidale, 2351, Australia. jspark@une.edu.au.ORCID http://orcid.org/0000-0001-5240-8217
University of New England · AUUniversity of Gondar · ETUniversity of Newcastle Australia · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

BACKGROUND AND

objectiveSeveral medication adherence patient-reported outcome measures (MA-PROMs) are available for use in patients with cardiovascular disease (CVD); however, little evidence is available on the most suitable MA-PROM to measure medication adherence in patients with CVD. The aim of this systematic review is to synthesise the measurement properties of MA-PROMs for patients with CVD and identify the most suitable MA-PROM for use in clinical practice or future research in patients with CVD.

methodsAn electronic search of nine databases (PubMed, MEDLINE, CINAHL, ProQuest Health and Medicine, Cochrane Library, PsychInfo, Scopus, Embase, and Web of Science) was conducted to identify studies that have reported on at least one of the measurement properties of MA-PROMs in patients with CVD. The methodological quality of the studies included in the systematic review was evaluated using the COnsensus-based Standards for the selection of health Measurement INstruments (COSMIN) checklist.

resultsA total of 40 MA-PROMs were identified in the 84 included studies. This review found there is a lack of moderate-to-high quality evidence of sufficient content validity for all MA-PROMs for patients with CVDs. Only eight MA-PROMs were classified in COSMIN recommendation category A. They exhibited sufficient content validity with very low-quality evidence, and moderate-to-high quality evidence for sufficient internal consistency. The 28 MA-PROMs that meet the requirements for COSMIN recommendation category 'B' require further validation studies. Four MA-PROMs including Hill-Bone Compliance Medication Scale (HBMS), the five-item Medication Adherence Report Scale (MARS-5), Maastricht Utrecht Adherence in Hypertension (MUAH), and MUAH-16 have insufficient results with high quality evidence for at least one measurement property and consequently are not recommended for use in patients with CVD. Two MA-PROMs (Adherence to Refills and Medications Scale [ARMS] and ARMS-7) are comprehensive and have moderate to high quality evidence for four sufficient measurement properties.

conclusionFrom the eight MA-PROMs in COSMIN recommendation category A, ARMS and ARMS-7 were selected as the most suitable MA-PROMs for use in patients with CVD. They are the most comprehensive with be best quality evidence to support their use in clinical practice and research.

Indexed as

Cardiovascular DiseasesChecklistConsensusHumansMedication AdherencePatient Reported Outcome MeasuresQuality of LifeSurveys and Questionnaires

Identifiers

PMID36180813
PMCPMC9617955
OpenAlexW4298111209

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.