![]() ![]() This may be particularly appealing for service users with psychosis who tend to have high relapse rates yet limited access to psychological therapies. Proposed benefits include ease of use, accessibility, and the potential to be less stigmatizing. Future studies should consider reporting a universal measure of adherence and aim to conduct complex analyses on predictors of adherence such as level of social presence and service user involvement.Į-mental health interventions, defined as “the use of information and communication technology to support or improve mental health care”, have been proposed as promising alternatives to traditional interventions. The duration of the study may be an important predictor of adherence. ![]() Although 2 studies found specific predictors of nonadherence (male gender and younger age), most did not specifically analyze predictors. ![]() Studies of shorter duration also had higher rates of adherence.Ĭonclusions: Adherence to mobile and Web-based interventions was robust across most studies. Adherence was greater in studies with higher levels of social support and service user involvement in the development of the intervention. Overall, the percentage of participants adhering to interventions ranged from 28-100% with a mean of 83%. Results: Of the 20 studies that reported a measure of adherence and a rate of dropout, 5 of these conducted statistical analyses to determine predictors of dropout, 6 analyzed the effects of specific adherence predictors (eg, symptom severity or type of technological interface) on the effects of the intervention, 4 administered poststudy feedback questionnaires to assess continued use of the intervention, and 2 studies evaluated the effects of different types of interventions on adherence. We provide a narrative synthesis of the findings and followed the preferred reporting items for systematic reviews and meta-analyses (PRISMA) guidelines for reporting systematic reviews. In addition to measurement and analysis of adherence, two theoretically proposed predictors of adherence were examined: (1) level of support from a clinician or researcher throughout the study, and (2) level of service user involvement in the app or intervention development. The objectives and inclusion criteria for suitable studies were defined following PICOS (population: people with psychosis intervention: mobile or Internet-based technology comparison group: no comparison group specified outcomes: measures of adherence study design: randomized controlled trials (RCT), feasibility studies, and observational studies) criteria. Methods: Using keywords (Internet or online or Web-based or website or mobile) AND (bipolar disorder or manic depression or manic depressive illness or manic-depressive psychosis or psychosis or schizophr* or psychotic), the following databases were searched: OVID including MedLine, EMBASE and PsychInfo, Pubmed and Web of Science. Specific predictors of adherence were also explored. Objective: The study aimed to present a systematic review of rates of adherence, dropout, and approaches to analyzing adherence to newly developed mobile and Web-based interventions for people with psychosis. The benefits will be limited if only a minority of service users adhere and engage if specific predictors of adherence can be identified then technologies can be adapted to increase the service user benefits. PO 78, Institute of Psychiatry Psychology and Neuroscience, 4, Windsor WalkĮmail: Despite the boom in new technologically based interventions for people with psychosis, recent studies suggest medium to low rates of adherence to these types of interventions. Institute of Psychiatry, Psychology & Neuroscience JMIR Bioinformatics and Biotechnology 31 articles.JMIR Biomedical Engineering 66 articles.Journal of Participatory Medicine 76 articles.JMIR Perioperative Medicine 86 articles.JMIR Rehabilitation and Assistive Technologies 189 articles.JMIR Pediatrics and Parenting 266 articles.Interactive Journal of Medical Research 286 articles.JMIR Public Health and Surveillance 1071 articles. ![]()
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