Evidence map›Paper›PMID 28315760›Full record

SynthesisPreventive medicine2017

Medication adherence outcomes of 771 intervention trials: Systematic review and meta-analysis.

Vicki S Conn, Todd M Ruppar

2 registry-linked trialsAbstract readMeta-AnalysisSystematic Review
PubMed Full text at PMC Publisher
In one paragraph

Synthesis in Preventive medicine, 2017. 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 190 papers, 16 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
190citing papers in PubMed, 16 pooled it
24.9field-weighted citation impact, top 1% 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.

NCT03228706 nacompletednot on this map

Effectiveness of a Structured Group-Based Intervention "Know Your Medicine - Take It For Health" (KYM-TIFH) in Improving Medication Adherence Among Malay Patients With Underlying Type 2 Diabetes Mellitus in the Sarawak State of Malaysia: A Randomized Controlled Trial

TypeinterventionalSponsorClinical Research Centre, MalaysiaRan2017 to 2019Enrolled142ConditionsMedication Adherence, Type 2 Diabetes MellitusArmsKnow Your Medicine - Take It For Health (KYM-TIFH)
NCT04236817 nacompletednot on this map

Impact on Patient COmpliance With Medication Using Pre-packaged Blisters for Long-term Medical therapY

TypeinterventionalSponsorThe Cleveland ClinicRan2015 to 2015Enrolled114ConditionsMedication Adherence, Medication ComplianceArmsPre-packed blisters for distribution of medications, Routine distribution of medications
3 · Its place in the literature

Who cites it

190 citing papers in PubMed, 16 syntheses or guidelines pooled it, 366 citations in OpenAlex.

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  4. Effect of telehealth interventions on adherence to endocrine therapy among patients with breast cancer: a systematic review and meta-analysis.Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer · 2024
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  5. A Systematic Review and Meta-Analysis of Interventions to Promote Adjuvant Endocrine Therapy Adherence Among Breast Cancer Survivors.Journal of clinical oncology : official journal of the American Society of Clinical Oncology · 2023
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  13. How to make value-based health insurance designs more effective? A systematic review and meta-analysis.The European journal of health economics : HEPAC : health economics in prevention and care · 2019
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130 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 at 1 institution in 1 country.

Vicki S ConnS317 Sinclair Building, University of Missouri, Columbia, MO 65211, USA. Electronic address: conn@missouri.edu.
Todd M RupparUniversity of Missouri, Columbia, MO, USA.
University of Missouri · US

Funding

Meta-Analysis of Interventions to Improve Medication AdherenceR01NR011990 · NINR · UNIVERSITY OF MISSOURI-COLUMBIA · PI CONN, VICKI S · 2010 to 2013
$1.7M
NINR NIH HHS R01 NR011990
6 · The paper itself

Abstract

Excellent medication adherence contributes to decreases in morbidity, mortality, and health care costs. Although researchers have tested many interventions to increase adherence, results are sometimes conflicting and often unclear. This systematic review applied meta-analytic procedures to integrate primary research that tested medication adherence interventions. Comprehensive searching completed in 2015 located 771 published and unpublished intervention studies with adherence behavior outcomes. Random-effects model analysis calculated standardized mean difference effect sizes. Meta-analytic moderator analyses examined the association between adherence effect sizes and sample, design, and intervention characteristics. Analyses were conducted in 2016. A standardized mean difference effect size of 0.290 comparing treatment and control groups was calculated. Moderator analyses revealed larger effect sizes for habit-based and behavioral-targeted (vs. cognitive-focused) interventions. The most effective interventions were delivered face-to-face, by pharmacists, and administered directly to patients. Effect sizes were smaller in studies with older and homeless participants. Risks of bias were common; effect sizes were significantly lower among studies with masked data collectors and intention-to-treat analyses. The largest effect sizes were reported by studies using medication electronic event monitoring and pill count medication adherence measures. Publication bias was present. This most comprehensive review to date documented that, although interventions can increase adherence, much room remains for improvement. Findings suggest health care providers should focus intervention content on behavioral strategies, especially habit-based interventions, more so than cognitive strategies designed to change knowledge and beliefs.

Indexed as

BiasDrug MonitoringHumansResearch DesignInterventionMedication adherenceMeta-analysis

Identifiers

PMID28315760
PMCPMC5467216
OpenAlexW2597284704

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

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.