Objective
Online crowdsourcing refers to the process of obtaining needed
services, ideas, or content by soliciting contributions from a large group
of people over the Internet. We examined the potential for using online
crowdsourcing methods for conducting behavioral health intervention research
among people with serious mental illness (SMI).
Methods
Systematic review of randomized trials using online crowdsourcing
methods for recruitment, intervention delivery, and data collection in
people with SMI, including schizophrenia spectrum disorders and mood
disorders. Included studies were completed entirely over the Internet
without any face-to-face contact between participants and researchers.
Databases and sources
Medline, Cochrane Library, Web of Science, CINAHL, Scopus, PsychINFO,
Google Scholar, and reference lists of relevant articles.
Results
We identified 7 randomized trials that enrolled N=1,214 participants
(range: 39 to 419) with SMI. Participants were mostly female (72%)
and had mood disorders (94%). Attrition ranged from 14% to
81%. Three studies had attrition rates below 25%. Most
interventions were adapted from existing evidence-based programs, and
consisted of self-directed education, psychoeducation, self-help, and
illness self-management. Six studies collected self-reported mental health
symptoms, quality of life, and illness severity. Three studies supported
intervention effectiveness and two studies showed improvements in the
intervention and comparison conditions over time. Peer support emerged as an
important component of several interventions. Overall, studies were of
medium to high methodological quality.
Conclusion
Online crowdsourcing methods appear feasible for conducting
intervention research in people with SMI. Future efforts are needed to
improve retention rates, collect objective outcome measures, and reach a
broader demographic.