BACKGROUND: By identifying which predictors and moderators lead to beneficial outcomes, accurate selection of the best initial treatment will have significant benefits for depressed individuals. METHOD: An automated, fully self-guided randomized controlled internet-delivered noninferiority trial was conducted comparing two new interventions (Interpersonal Psychotherapy [IPT; n=620] and Cognitive Behavioral Therapy [CBT; n=610]) to an active control intervention (MoodGYM; n=613) over a period of 4 weeks to spontaneous visitors of an internet-delivered therapy website (e-couch). A range of putative predictors and moderators (socio-demographic characteristics [age, gender, marital status, education level], clinical characteristics [depression/anxiety symptoms, disability, quality of life, medication use], skills [mastery and dysfunctional attitudes] and treatment preference) were assessed using internet-delivered self-report measures at baseline and immediately following treatment and at six months follow-up. Analyses were conducted using Mixed Model Repeated Measures (MMRM). RESULTS: Female gender, lower mastery and lower dysfunctional attitudes predicted better outcome at post-test and/or follow-up regardless of intervention. No overall differential effects for condition on depression as a function of outcome were found. However, based on time-specific estimates, a significant interaction effect of age was found. For younger people, internet-delivered IPT may be the preferred treatment choice, whereas older participants derive more benefits from internet-delivered CBT programs. LIMITATIONS: Although the sample of participants was large, power to detect moderator effects was still lacking. CONCLUSIONS: Different e-mental health programs may be more beneficial for specific age groups. The findings raise important possibilities for increasing depression treatment effectiveness and improving clinical practice guidelines for depression treatment of different age groups.
RCT Entities:
BACKGROUND: By identifying which predictors and moderators lead to beneficial outcomes, accurate selection of the best initial treatment will have significant benefits for depressed individuals. METHOD: An automated, fully self-guided randomized controlled internet-delivered noninferiority trial was conducted comparing two new interventions (Interpersonal Psychotherapy [IPT; n=620] and Cognitive Behavioral Therapy [CBT; n=610]) to an active control intervention (MoodGYM; n=613) over a period of 4 weeks to spontaneous visitors of an internet-delivered therapy website (e-couch). A range of putative predictors and moderators (socio-demographic characteristics [age, gender, marital status, education level], clinical characteristics [depression/anxiety symptoms, disability, quality of life, medication use], skills [mastery and dysfunctional attitudes] and treatment preference) were assessed using internet-delivered self-report measures at baseline and immediately following treatment and at six months follow-up. Analyses were conducted using Mixed Model Repeated Measures (MMRM). RESULTS: Female gender, lower mastery and lower dysfunctional attitudes predicted better outcome at post-test and/or follow-up regardless of intervention. No overall differential effects for condition on depression as a function of outcome were found. However, based on time-specific estimates, a significant interaction effect of age was found. For younger people, internet-delivered IPT may be the preferred treatment choice, whereas older participants derive more benefits from internet-delivered CBT programs. LIMITATIONS: Although the sample of participants was large, power to detect moderator effects was still lacking. CONCLUSIONS: Different e-mental health programs may be more beneficial for specific age groups. The findings raise important possibilities for increasing depression treatment effectiveness and improving clinical practice guidelines for depression treatment of different age groups.
Authors: Patricia Gual-Montolio; Irene Jaén; Verónica Martínez-Borba; Diana Castilla; Carlos Suso-Ribera Journal: Int J Environ Res Public Health Date: 2022-06-24 Impact factor: 4.614
Authors: Isabell Conrad; Maria Kleinstäuber; Kristine Jasper; Wolfgang Hiller; Gerhard Andersson; Cornelia Weise Journal: Int J Behav Med Date: 2015-04
Authors: Christian A Webb; Elizabeth A Olson; William D S Killgore; Diego A Pizzagalli; Scott L Rauch; Isabelle M Rosso Journal: Biol Psychiatry Cogn Neurosci Neuroimaging Date: 2017-08-26
Authors: Nan Lv; Lan Xiao; Lisa G Rosas; Elizabeth M Venditti; Joshua M Smyth; Megan A Lewis; Mark B Snowden; Corina R Ronneberg; Leanne M Williams; Ben S Gerber; Olusola A Ajilore; Aashutos S Patel; Jun Ma Journal: Ann Behav Med Date: 2021-11-18