Relapse prediction in schizophrenia through digital phenotyping: a pilot study
By Ian Barnett, John B. Torous, Patrick C. Staples, Luis R. Sandoval, Matcheri S. Keshavan, Jukka-Pekka Onnela. Neuropsychopharmacology, 2018
341 citations recorded by the source corpus.
Among individuals diagnosed, hospitalized, and treated for schizophrenia, up to 40% of those discharged may relapse within 1 year even with appropriate treatment. Passively collected smartphone behavioral data present a scalable and at present underutilized opportunity to monitor patients in order to identify possible warning signs of relapse. Seventeen patients with schizophrenia in active treatment at a state mental health clinic in Boston used the Beiwe app on their personal smartphone for up to 3 months. By testing for changes in mobility patterns and social behavior over time as measured through smartphone use, we were able to identify statistically significant anomalies in patient behavior in the days prior to relapse. We found that the rate of behavioral anomalies detected in the 2 weeks prior to relapse was 71% higher than the rate of anomalies during other time periods. Our findings show how passive smartphone data, data collected in the background during regular phone use without active input from the subjects, can provide an unprecedented and detailed view into patient behavior outside the clinic. Real-time detection of behavioral anomalies could signal the need for an intervention before an escalation of symptoms and relapse occur, therefore reducing patient suffering and reducing the cost of care.
Subfields: Applied Psychology, Experimental and Cognitive Psychology, General Health Professions
View Paper: https://www.semanticscholar.org/paper/acd07815a623973781119bbadf5896d63a9d53a8
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In Applied Psychology
In Experimental and Cognitive Psychology
In General Health Professions
Citations in the corpus
- AI in mental health. (2020, background): “Smartphone and other digital device sensing has been used to study conditions other than depression and anxiety, including early work on schizophrenia or psychotic disorders [12,13 ].”
- The growing field of digital psychiatry: current evidence and the future of apps, social media, chatbots, and virtual reality (2021, neutral): “More specifically, Barnett et al 147 followed 17 patients with psychosis using a passive monitoring app installed on their smartphone for up to three months, and identified anomalies in mobility patterns and social behavior in the two weeks prior to relapse.”