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Integrating Smartwatches in Community Mental Health Services for Severe Mental Illness: A Case Series
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  • Daniel Talbot,
  • David Johnston,
  • Rachael Foord,
  • Achim Casties,
  • Nola Viaphay,
  • Ahmed Tohamy,
  • Naomi Van Leeuwen,
  • Jodie Sinclair,
  • Anthony Harris
Daniel Talbot
Western Sydney Local Health District

Corresponding Author:[email protected]

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David Johnston
Western Sydney Local Health District
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Rachael Foord
Western Sydney Local Health District
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Achim Casties
The University of Sydney
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Nola Viaphay
Western Sydney Local Health District
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Ahmed Tohamy
Western Sydney Local Health District
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Naomi Van Leeuwen
Western Sydney Local Health District
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Jodie Sinclair
Western Sydney Local Health District
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Anthony Harris
Western Sydney Local Health District
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Abstract

Objective: This case series explored the integration of smartwatches in a community mental health service to support severe mental illness (SMI) management and intervention. We examined whether biometric data provided by smartwatches could help to predict relapse and inform treatment decisions. Method: Four SMI patients were selected from a prior study. Clinicians accessed patients’ biometric data (activity, sleep, heart rate, and electrodermal activity) through smartwatches. Results: Changes in circadian rhythm and electrodermal activity preceded hospitalization in two cases. Additionally, smartwatch data was effectively used to guide targeted interventions, improving patient treatment outcomes. Conclusion: Integrating smartwatches in community mental health services offers promise as adjunct tools for severe mental illness management. However, ethical considerations on data privacy and technology reliance require further evaluation.
26 Sep 2023Submitted to Early Intervention in Psychiatry
26 Sep 2023Assigned to Editor
26 Sep 2023Submission Checks Completed
26 Sep 2023Review(s) Completed, Editorial Evaluation Pending
30 Sep 2023Reviewer(s) Assigned
12 Feb 2024Review(s) Completed, Editorial Evaluation Pending
22 Feb 2024Editorial Decision: Revise Minor