Feasibility and correlations of smartphone meta-data toward dynamic understanding of depression and suicide risk in schizophrenia

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Abstract

Objectives: We investigate whether meta-data, specifically duration of responses to smartphone-delivered surveys, is correlated to elevated scores on the depression assessment PHQ-9 as well as the specific item around self-harm (item 9). Methods: In this observational study, we recruited 92 smartphone-owning adults (≥ 18) with schizophrenia (45) and healthy controls (43). We installed an open-source smartphone app called mindLAMP to collect survey results and latencies (response times) over a period of 3 months. Surveys were scheduled for twice a week, but participants were instructed to take the surveys naturally as much or as little as they wanted. A total of 1,218 PHQ-9 surveys were completed across all participants over 3 months. Results: A total of 75 participants (39 with schizophrenia and 36 healthy controls) completed both the initial visit and follow-up, as well as provided at least one self-reported PHQ-9 survey through the app. We found that depression symptom severity and response latencies were correlated for both individuals with schizophrenia (Spearman's ρ =.22, p =.037) and healthy controls (Spearman's ρ =.58, p

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Henson, P., & Torous, J. (2020). Feasibility and correlations of smartphone meta-data toward dynamic understanding of depression and suicide risk in schizophrenia. International Journal of Methods in Psychiatric Research, 29(2). https://doi.org/10.1002/mpr.1825

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