Literature DB >> 24357665

Adherence reporting in randomized controlled trials.

Ze Zhang1, Michael J Peluso, Cary P Gross, Catherine M Viscoli, Walter N Kernan.   

Abstract

BACKGROUND: Treatment adherence may influence the therapeutic effect that is observed in a randomized controlled trial (RCT). Adherence may also be an indicator of research quality and treatment acceptance by participants. Despite the importance of adherence in RCT research, little is known about current practices for its measurement and reporting.
PURPOSE: The objective of this study was to determine and evaluate adherence measurement and reporting practices in RCTs involving oral pharmacologic interventions published in high impact factor journals.
METHODS: We conducted a systematic review of RCTs involving oral pharmacotherapy published during 2010 in 10 high-impact general medicine and subspecialty journals. Two investigators independently abstracted data regarding trial characteristics, adherence monitoring, and adherence reporting. Differences were reconciled in conference. Descriptive statistics were calculated, statistical comparisons were made using chi-square analysis, and associations assessed using Spearman's rank correlation coefficient.
RESULTS: Of 111 RCT manuscripts included in the sample, 51 (45.9%) reported study-drug adherence among participants. Studies that reported adherence results were more likely to report negative findings (i.e., no significant treatment effect in a superiority trial, non-equivalence in an equivalence trial) (p = 0.032). The most common method for adherence monitoring was pill count-back on returned bottles. Among the studies that reported adherence, the median adherence was 88.4% (range: 48%-100%), and trials with longer follow-up time reported lower adherence (r = -0.45; p = 0.0015). A minority of the 51 studies described a strategy for calculating adherence that accounted for participants who were lost to follow-up (11/51 studies; 21.6%), discontinued the study medication temporarily (6/51 studies; 11.8%), or discontinued the study drug permanently (1/51 study; 2%). LIMITATIONS: This study is limited by the inclusion of a small set of journals with the highest impact factors in specific fields of clinical medicine, including general medicine. Although the analysis pertains to studies published in 2010, no new guidelines in the field since the last Consolidated Standards of Reporting Trials (CONSORT) statement have been issued that would be expected to change practices for adherence monitoring, analysis, and reporting.
CONCLUSIONS: Adherence measurement methodology and results are underreported in published RCTs. In the minority of RCTs that provided adherence information, there was substantial heterogeneity in how adherence was defined, analyzed, and reported. Improved reporting of adherence may enhance the interpretation of study quality and results.

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Year:  2013        PMID: 24357665     DOI: 10.1177/1740774513512565

Source DB:  PubMed          Journal:  Clin Trials        ISSN: 1740-7745            Impact factor:   2.486


  17 in total

1.  Understanding Adherence and Prescription Patterns Using Large-Scale Claims Data.

Authors:  Margrét V Bjarnadóttir; Sana Malik; Eberechukwu Onukwugha; Tanisha Gooden; Catherine Plaisant
Journal:  Pharmacoeconomics       Date:  2016-02       Impact factor: 4.981

2.  Mystery around drug adherence still plagues medical literature.

Authors:  Anna Azvolinsky
Journal:  Nat Med       Date:  2014-05       Impact factor: 53.440

3.  Desirability and feasibility of wireless electronic monitoring of medications in clinical trials.

Authors:  William N Robiner; Nancy Flaherty; Thyra A Fossum; Thomas E Nevins
Journal:  Transl Behav Med       Date:  2015-09       Impact factor: 3.046

Review 4.  Cognitive Remediation as an Adjunct Treatment for Substance Use Disorders: A Systematic Review.

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Journal:  Neuropsychol Rev       Date:  2021-04-19       Impact factor: 7.444

Review 5.  Randomized controlled trials - a matter of design.

Authors:  Peter Markus Spieth; Anne Sophie Kubasch; Ana Isabel Penzlin; Ben Min-Woo Illigens; Kristian Barlinn; Timo Siepmann
Journal:  Neuropsychiatr Dis Treat       Date:  2016-06-10       Impact factor: 2.570

6.  Ursodeoxycholic acid for the prevention of symptomatic gallstone disease after bariatric surgery: study protocol for a randomized controlled trial (UPGRADE trial).

Authors:  Thomas C C Boerlage; Sylke Haal; L Maurits de Brauw; Yair I Z Acherman; Sjoerd Bruin; Arnold W J M van de Laar; Daan E Moes; Bart A van Wagensveld; Claire E E de Vries; Ruben van Veen; Ruben Schouten; Marcel G Dijkgraaf; Paul Fockens; Victor E A Gerdes; Rogier P Voermans
Journal:  BMC Gastroenterol       Date:  2017-12-20       Impact factor: 3.067

7.  Protocol adherence for continuously titrated interventions in randomized trials: an overview of the current methodology and case study.

Authors:  F Lauzier; N K Adhikari; A Seely; K K Y Koo; E P Belley-Côté; K E A Burns; D J Cook; F D'Aragon; B Rochwerg; M E Kho; S J W Oczkowksi; E H Duan; M O Meade; A G Day; F Lamontagne
Journal:  BMC Med Res Methodol       Date:  2017-07-17       Impact factor: 4.615

8.  Methods for estimating complier average causal effects for cost-effectiveness analysis.

Authors:  K DiazOrdaz; A J Franchini; R Grieve
Journal:  J R Stat Soc Ser A Stat Soc       Date:  2017-05-24       Impact factor: 2.483

9.  Factors related to dropout in integrative oncology clinical trials: interim analysis of an ongoing comparative effectiveness trial of mindfulness-based cancer recovery and Tai chi/Qigong for cancer health (The MATCH study).

Authors:  Devesh Oberoi; Katherine-Ann L Piedalue; Hassan Pirbhai; Steven Guirguis; Daniel Santa Mina; Linda E Carlson
Journal:  BMC Res Notes       Date:  2020-07-17

10.  Reporting non-adherence in cluster randomised trials: A systematic review.

Authors:  Schadrac C Agbla; Karla DiazOrdaz
Journal:  Clin Trials       Date:  2018-04-02       Impact factor: 2.486

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