Interrelations between participant and intervention characteristics, process variables and outcomes in online interventions: A protocol for overarching analyses within and across seven clinical trials in ICare.

Adherence Early response Internet-based interventions Mental health Predictors Working alliance

Journal

Internet interventions
ISSN: 2214-7829
Titre abrégé: Internet Interv
Pays: Netherlands
ID NLM: 101631612

Informations de publication

Date de publication:
Apr 2019
Historique:
received: 03 03 2018
revised: 23 05 2018
accepted: 23 05 2018
entrez: 19 2 2019
pubmed: 19 2 2019
medline: 19 2 2019
Statut: epublish

Résumé

It is well known that web-based interventions can be effective treatments for various conditions. Less is known about predictors, moderators, and mediators of outcome and especially interrelations between participant and interventions characteristics, process variables and outcomes in online interventions. Clinical trials often lack statistical power to detect variables that affect intervention effects and their interrelations. Within ICare, we can investigate the interrelation of potential predictor and process variables in a large sample. The ICare consortium postulated a model of interrelations between participant and intervention characteristics, process variables and outcomes in online interventions. We will assess general and disorder-specific interrelations between characteristics of the intervention, characteristics of the participants, adherence, working alliance, early response, and intervention outcomes in a sample of over 7500 participants from seven clinical trials evaluating 15 online interventions addressing a range of mental health conditions and disorders, using an individual participant data meta-analyses approach. Existing research tends to support the efficacy of online mental health interventions, but the knowledge base regarding factors that affect intervention effects needs to be expanded. The overarching analyses using data from the ICare intervention trials will add considerably to the evidence.

Sections du résumé

BACKGROUND BACKGROUND
It is well known that web-based interventions can be effective treatments for various conditions. Less is known about predictors, moderators, and mediators of outcome and especially interrelations between participant and interventions characteristics, process variables and outcomes in online interventions. Clinical trials often lack statistical power to detect variables that affect intervention effects and their interrelations. Within ICare, we can investigate the interrelation of potential predictor and process variables in a large sample.
METHOD METHODS
The ICare consortium postulated a model of interrelations between participant and intervention characteristics, process variables and outcomes in online interventions. We will assess general and disorder-specific interrelations between characteristics of the intervention, characteristics of the participants, adherence, working alliance, early response, and intervention outcomes in a sample of over 7500 participants from seven clinical trials evaluating 15 online interventions addressing a range of mental health conditions and disorders, using an individual participant data meta-analyses approach.
DISCUSSION/CONCLUSION CONCLUSIONS
Existing research tends to support the efficacy of online mental health interventions, but the knowledge base regarding factors that affect intervention effects needs to be expanded. The overarching analyses using data from the ICare intervention trials will add considerably to the evidence.

Identifiants

pubmed: 30775268
doi: 10.1016/j.invent.2018.05.001
pii: S2214-7829(18)30009-5
pmc: PMC6364443
doi:

Types de publication

Journal Article

Langues

eng

Pagination

86-97

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Auteurs

Ina Beintner (I)

Technische Universität Dresden, School of Science, Department of Psychology, Chair of Clinical Psychology and E-Mental-Health, Dresden, Germany.

Dennis Görlich (D)

Westfälische Wilhelms-Universität Münster, Institut für Biometrie und Klinische Forschung, Schmedingstraße 56, Münster, Germany.

Thomas Berger (T)

Universität Bern, Department of Clinical Psychology and Psychotherapy, Bern, Switzerland.

David Daniel Ebert (DD)

Friedrich-Alexander-Universität Erlangen-Nürnberg, Department of Clinical Psychology and Psychotherapy, Nägelsbachstr 25a, Erlangen, Germany.

Michael Zeiler (M)

Medizinische Universität Wien, Department for Child and Adolescent Psychiatry, Waehringer Guertel 18-20, Vienna, Austria.

Rocío Herrero Camarano (R)

Jaume I Universitat, Castellon, Spain.

Karin Waldherr (K)

Ferdinand PorscheFernFH Distance-Learning University of Applied Sciences, Wien, Austria.

Corinna Jacobi (C)

Technische Universität Dresden, School of Science, Department of Psychology, Chair of Clinical Psychology and E-Mental-Health, Dresden, Germany.

Classifications MeSH