Evidence map›Paper›PMID 21821503›Full record

SynthesisJournal of medical Internet research2011

A systematic review of the impact of adherence on the effectiveness of e-therapies.

Liesje Donkin, Helen Christensen, Sharon L Naismith, Bruce Neal, Ian B Hickie, Nick Glozier

Registry-linked trialAbstract readSystematic Review
In one paragraph

Synthesis in Journal of medical Internet research, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT04948996 (Effectiveness of Group Versus Individual Self-management of Depression Using a Mobile App to Increase Treatment Adherence Among Users of a University-based Helpline in the Dominican Republic.), which is not on this map. Cited by 535 papers, 16 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
535citing papers in PubMed, 16 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.

NCT04948996 naterminatednot on this mapstarted 2021, after this paper: background citation

Effectiveness of Group Versus Individual Self-management of Depression Using a Mobile App to Increase Treatment Adherence Among Users of a University-based Helpline in the Dominican Republic.

TypeinterventionalSponsorNorthern Illinois UniversityRan2021 to 2021Enrolled27ConditionsDepression Mild, Depression ModerateArmsEl Buen Consejo Móvil- Group (EBCM-G), El Buen Consejo Móvil- Individual (EBCM-I)
3 · Its place in the literature

Who cites it

535 citing papers in PubMed, 16 syntheses or guidelines pooled it.

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475 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

6 authors.

Liesje DonkinBrain & Mind Research Institute, The University of Sydney, Camperdown, Australia. Liesje.Donkin@sydney.edu.au
Helen Christensen
Sharon L Naismith
Bruce Neal
Ian B Hickie
Nick Glozier

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAs the popularity of e-therapies grows, so too has the body of literature supporting their effectiveness. However, these interventions are often plagued by high attrition rates and varying levels of user adherence. Understanding the role of adherence may be crucial to understanding how program usage influences the effectiveness of e-therapy interventions.

objectiveThe aim of this study was to systematically review the e-therapy literature to (1) describe the methods used to assess adherence and (2) evaluate the association of adherence with outcome of these interventions.

methodsA systematic review of e-therapy interventions was conducted across disease states and behavioral targets. Data were collected on adherence measures, outcomes, and analyses exploring the relationship between adherence measures and outcomes.

resultsOf 69 studies that reported an adherence measure, only 33 (48%) examined the relationship between adherence and outcomes. The number of logins was the most commonly reported measure of adherence, followed by the number of modules completed. The heterogeneity of adherence and outcome measures limited analysis. However, logins appeared to be the measure of adherence most consistently related to outcomes in physical health interventions, while module completion was found to be most related to outcomes in psychological health interventions.

conclusionsThere is large variation in the reporting of adherence and the association of adherence with outcomes. A lack of agreement about how best to measure adherence is likely to contribute to the variation in findings. Physical and psychological outcomes seem influenced by different types of adherence. A composite measure encompassing time online, activity completion, and active engagements with the intervention may be the best measure of adherence. Further research is required to establish a consensus for measuring adherence and to understand the role of adherence in influencing outcomes.

Indexed as

Computer-Assisted InstructionConsumer BehaviorConsumer Health InformationEvidence-Based MedicineHealth Services Needs and DemandHumansInformation DisseminationInternetOnline SystemsTherapy, Computer-Assisted

Identifiers

PMID21821503
PMCPMC3222162

What OpenQuestion holds

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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.