1. A mixed-methods study exploring the benefits, drawbacks, and utilization of data in care: Findings from the EPI-CAL early psychosis learning health care network.
- Author
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Ereshefsky S, Gemignani R, Savill M, Sanford KC, Banks LM, Tryon VL, Nye KE, Pierce KM, Miles MJ, Miller C, Nguyen KLH, Sharma N, Kado-Walton M, Hakusui CK, Smith L, Padilla VE, McNamara AP, Safdar M, Padovani AJ, Loewy RL, Wilcox AB, Tully LM, and Niendam TA
- Subjects
- Humans, Female, Male, Adult, Learning Health System, Young Adult, California, Qualitative Research, Mental Health Services statistics & numerical data, Psychotherapy statistics & numerical data, Adolescent, Psychotic Disorders therapy
- Abstract
Using data collected in routine care delivery to inform treatment is a key feature of a learning health system (LHS). In this study, we explored the experiences of service users and providers adopting measurement-based care (MBC) in early psychosis (EP) specialty care settings. Qualitative interviews were conducted with 32 providers and 12 service users across 18 programs in the Early Psychosis Intervention Network of California (EPI-CAL). These findings were compared with quantitative data from Beehive, EPI-CAL's data collection and review application. Regarding the clinical benefits of MBC in EP, three broad themes were identified - supporting safety monitoring and response, the assessment process, and delivery of psychotherapy. Outside of direct clinical care, Beehive was considered to support clinical supervision and external reporting, while service users reported data collection facilitated self-reflection. In the quantitative Beehive application data collected from 23 EP programs, high utilization of the safety alert system was evident (349 alerts in total, of which 338 [96.85 %] were resolved at a median of 2.03 days). However, service users' key survey data was only reviewed by assigned providers in 32.22 % (142 of 441) of cases. While providers and service users saw many benefits to Beehive, utilization was highly inconsistent outside of the alert system. Going forward, further consideration of how best to support EP providers to consistently use data in care is necessary to maximize the utility of the LHS approach and positively impact outcomes., Competing Interests: Declaration of competing interest Tara A. Niendam is a cofounder and shareholder in Safari Health, Inc. No other authors disclosed any competing interests., (Copyright © 2025 The Authors. Published by Elsevier B.V. All rights reserved.)
- Published
- 2025
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