TY - JOUR
T1 - FitMindKit
T2 - Randomised controlled trial of an automatically tailored online program for mood, anxiety, substance use and suicidality
AU - Batterham, Philip J.
AU - Calear, Alison L.
AU - Farrer, Louise
AU - McCallum, Sonia M.
AU - Cheng, Vanessa Wan Sze
N1 - Publisher Copyright:
© 2017 The Authors
PY - 2018/6
Y1 - 2018/6
N2 - Purpose: Online mental health programs can be effective in reducing symptoms of depression, anxiety disorders, substance use and suicidal ideation. However, most existing e-mental health programs focus on a single domain of mental health, neglecting comorbidity. Furthermore, few programs are tailored to the symptom patterns of the individual user. FitMindKit was designed to overcome the gaps of existing e-mental health programs, providing tailored, transdiagnostic therapeutic content to address a range of comorbid mental health symptoms. A trial was conducted to test the program's efficacy. Methods: Australian adults with elevated symptoms of depression, anxiety, suicidal ideation and/or substance use were recruited through social media, with n = 194 randomised into a fully-automated trial of a 10-day brief intervention. Participants were randomly allocated to receive FitMindKit tailored to their symptoms, an untailored generic version of FitMindKit, or an attention control. Results: Mixed model repeated measures ANOVA indicated that participants in both FitMindKit and the attention control had significant reductions in symptom composite scores. Effects were not significantly greater in the FitMindKit program relative to control, either at post-test or 3-month follow-up. No effects were detected for specific decreases in depression, generalized anxiety, social anxiety, panic, suicidal ideation or alcohol/substance use. There were no significant differences between the tailored and static versions in effectiveness or adherence. Participants in the tailored and static conditions were more satisfied than in the control condition, with some evidence favouring the tailored condition. High attrition reduced power to find effects. Conclusions: FitMindKit provides a model for addressing comorbid mental health symptoms in an online program, using automated tailoring to symptom patterns. Modifications to the program are recommended, along with the need for larger trials to test the effects of tailoring on mental health outcomes.
AB - Purpose: Online mental health programs can be effective in reducing symptoms of depression, anxiety disorders, substance use and suicidal ideation. However, most existing e-mental health programs focus on a single domain of mental health, neglecting comorbidity. Furthermore, few programs are tailored to the symptom patterns of the individual user. FitMindKit was designed to overcome the gaps of existing e-mental health programs, providing tailored, transdiagnostic therapeutic content to address a range of comorbid mental health symptoms. A trial was conducted to test the program's efficacy. Methods: Australian adults with elevated symptoms of depression, anxiety, suicidal ideation and/or substance use were recruited through social media, with n = 194 randomised into a fully-automated trial of a 10-day brief intervention. Participants were randomly allocated to receive FitMindKit tailored to their symptoms, an untailored generic version of FitMindKit, or an attention control. Results: Mixed model repeated measures ANOVA indicated that participants in both FitMindKit and the attention control had significant reductions in symptom composite scores. Effects were not significantly greater in the FitMindKit program relative to control, either at post-test or 3-month follow-up. No effects were detected for specific decreases in depression, generalized anxiety, social anxiety, panic, suicidal ideation or alcohol/substance use. There were no significant differences between the tailored and static versions in effectiveness or adherence. Participants in the tailored and static conditions were more satisfied than in the control condition, with some evidence favouring the tailored condition. High attrition reduced power to find effects. Conclusions: FitMindKit provides a model for addressing comorbid mental health symptoms in an online program, using automated tailoring to symptom patterns. Modifications to the program are recommended, along with the need for larger trials to test the effects of tailoring on mental health outcomes.
KW - Anxiety
KW - Comorbidity
KW - Depression
KW - Substance use
KW - Suicidal ideation
KW - Tailored interventions
UR - http://www.scopus.com/inward/record.url?scp=85028417943&partnerID=8YFLogxK
U2 - 10.1016/j.invent.2017.08.002
DO - 10.1016/j.invent.2017.08.002
M3 - Article
SN - 2214-7829
VL - 12
SP - 91
EP - 99
JO - Internet Interventions
JF - Internet Interventions
ER -