TY - JOUR
T1 - Interrelations between participant and intervention characteristics, process variables and outcomes in online interventions
T2 - A protocol for overarching analyses within and across seven clinical trials in ICare
AU - ICare Consortium
AU - Beintner, Ina
AU - Görlich, Dennis
AU - Berger, Thomas
AU - Ebert, David Daniel
AU - Zeiler, Michael
AU - Herrero Camarano, Rocío
AU - Waldherr, Karin
AU - Jacobi, Corinna
N1 - Publisher Copyright:
© 2018 The Authors
PY - 2019/4
Y1 - 2019/4
N2 - 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: 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: 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.
AB - 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: 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: 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.
KW - Adherence
KW - Early response
KW - Internet-based interventions
KW - Mental health
KW - Predictors
KW - Working alliance
UR - http://www.scopus.com/inward/record.url?scp=85047927018&partnerID=8YFLogxK
U2 - 10.1016/j.invent.2018.05.001
DO - 10.1016/j.invent.2018.05.001
M3 - Article
AN - SCOPUS:85047927018
SN - 2214-7829
VL - 16
SP - 86
EP - 97
JO - Internet Interventions
JF - Internet Interventions
ER -