Evidence map›Paper›PMID 26539470›Full record

ReviewBioMed research international2015

Medication Adherence Measures: An Overview.

Wai Yin Lam, Paula Fresco

2 registry-linked trialsAbstract readReview
PubMed Full text at PMC Publisher
In one paragraph

Review in BioMed research international, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to 2 registered trials, which are not on this map. Cited by 645 papers, 13 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
645citing papers in PubMed, 13 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.

NCT03376607 naunknown statusnot on this mapstarted 2019, after this paper: background citation

Community- and mHealth-Based Integrated Management of Diabetes in Primary Healthcare in Rwanda: The D²Rwanda Study

TypeinterventionalSponsorUniversity of AarhusRan2019 to 2021Enrolled209ConditionsDiabetes Mellitus, Telemedicine, Community Health WorkersArmsHBCP programme, mobile health application
NCT05291026 nacompletednot on this mapstarted 2018, after this paper: background citation

Evaluation of mHealth Intervention to Improve Medication Adherence in Type 2 Diabetes in Nigeria: a Randomized Controlled Trial

TypeinterventionalSponsorObafemi Awolowo UniversityRan2018 to 2019Enrolled120ConditionsDiabetes MellitusArmsmobile phone-based health information
3 · Its place in the literature

Who cites it

645 citing papers in PubMed, 13 syntheses or guidelines pooled it.

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  13. Medication adherence to CFTR modulators in patients with cystic fibrosis: a systematic review.European respiratory review : an official journal of the European Respiratory Society · 2024
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585 more citing papers are in PubMed but not listed here.

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

2 authors.

Wai Yin LamUCL School of Pharmacy, 29-39 Brunswick Square, London WC1N 1AX, UK.
Paula FrescoDepartment of Drug Sciences, Laboratory of Pharmacology, Faculty of Pharmacy, University of Porto, Rua Jorge Viterbo Ferreira 228, 4050-313 Porto, Portugal.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

WHO reported that adherence among patients with chronic diseases averages only 50% in developed countries. This is recognized as a significant public health issue, since medication nonadherence leads to poor health outcomes and increased healthcare costs. Improving medication adherence is, therefore, crucial and revealed on many studies, suggesting interventions can improve medication adherence. One significant aspect of the strategies to improve medication adherence is to understand its magnitude. However, there is a lack of general guidance for researchers and healthcare professionals to choose the appropriate tools that can explore the extent of medication adherence and the reasons behind this problem in order to orchestrate subsequent interventions. This paper reviews both subjective and objective medication adherence measures, including direct measures, those involving secondary database analysis, electronic medication packaging (EMP) devices, pill count, and clinician assessments and self-report. Subjective measures generally provide explanations for patient's nonadherence whereas objective measures contribute to a more precise record of patient's medication-taking behavior. While choosing a suitable approach, researchers and healthcare professionals should balance the reliability and practicality, especially cost effectiveness, for their purpose. Meanwhile, because a perfect measure does not exist, a multimeasure approach seems to be the best solution currently.

Indexed as

Health Care CostsMedication AdherenceChronic DiseaseHumans

Identifiers

PMID26539470
PMCPMC4619779

What OpenQuestion holds

Textmetadata
LicenceCC BY
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Registered trials

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.