Association between wrist wearable digital markers and clinical status in Schizophrenia

Martanto, Wijaya; Koh, Ying Ying; Yang, Zixu; Heaukulani, Creighton; Wang, Xuancong; Rashid, Nur Amirah Abdul; Sim, Amelia; Zheng, Shushan; Tang, Charmaine; Verma, Swapna; Morris, Robert; Lee, Jimmy

doi:10.1016/j.genhosppsych.2021.01.003

Cited by 2 publications

(2 citation statements)

References 7 publications

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“…The second phase will include sending timely interventions in response to recognized pattern signatures, such as early warnings of relapse that may give participants the time to take steps toward preventing relapse [24,28]. Preliminary data from the wrist wearables of 21 patients over 1 week have been published and align with past correlations with PANSS scores, though these data are limited by the short time frame [29]. Once completed, the study will likely build upon its predecessor's ability to detect relapse while testing the efficacy of wearable-based interventions based on real-time data.…”

Section: Managementmentioning

confidence: 99%

Wearables in Schizophrenia: Update on Current and Future Clinical Applications

Fonseka¹,

Woo²

2022

JMIR Mhealth Uhealth

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Schizophrenia affects 1% of the world population and is associated with a reduction in life expectancy of 20 years. The increasing prevalence of both consumer technology and clinical-grade wearable technology offers new metrics to guide clinical decision-making remotely and in real time. Herein, recent literature is reviewed to determine the potential utility of wearables in schizophrenia, including their utility in diagnosis, first-episode psychosis, and relapse prevention and their acceptability to patients. Several studies have further confirmed the validity of various devices in their ability to track sleep—an especially useful metric in schizophrenia, as sleep disturbances may be predictive of disease onset or the acute worsening of psychotic symptoms. Through machine learning, wearable-obtained heart rate and motor activity were used to differentiate between controls and patients with schizophrenia. Wearables can capture the autonomic dysregulation that has been detected when patients are actively experiencing paranoia, hallucinations, or delusions. Multiple platforms are currently being researched, such as Health Outcomes Through Positive Engagement and Self-Empowerment, Mobile Therapeutic Attention for Treatment-Resistant Schizophrenia, and Sleepsight, that may ultimately link patient data to clinicians. The future is bright for wearables in schizophrenia, as the recent literature exemplifies their potential to offer real-time insights to guide diagnosis and management.

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Section: Managementmentioning

confidence: 99%

Wearables in Schizophrenia: Update on Current and Future Clinical Applications

Fonseka¹,

Woo²

2022

JMIR Mhealth Uhealth

View full text Add to dashboard Cite

show abstract

Section: Managementmentioning

confidence: 99%

Wearables in Schizophrenia: Update on Current and Future Clinical Applications (Preprint)

Fonseka¹,

Woo²

2021

Preprint

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UNSTRUCTURED Schizophrenia affects 1% of the world population and is associated with a reduction in life expectancy of 20 years. The increasing prevalence of both consumer and clinical-grade wearable technology offers new metrics to guide clinical decision-making remotely and in real-time. Herein, the recent literature on wearables is reviewed for potential clinical utility in schizophrenia, including diagnosis and first episode psychosis, relapse prevention, and patient acceptability. Several studies have further confirmed the validity of various devices in their ability to track sleep, an especially useful metric in schizophrenia as sleep disturbances may be predictive of disease onset or an acute worsening of psychotic symptoms. Through machine learning, wearable-obtained heart rate and motor activity was able to differentiate between controls and schizophrenia patients. Wearables can capture the autonomic dysregulation that has been detected when patients are actively experiencing paranoia, hallucinations, or delusions. Multiple platforms are currently being researched such as Health Outcomes through Positive Engagement and Self-Empowerment (HOPES), Mobile Therapeutic Attention for Treatment Resistant Schizophrenia (m-RESIST), and Sleepsight that may ultimately link patient data to clinicians. The future is bright for wearables in schizophrenia, as the recent literature exemplifies their potential to offer real-time insights to guide diagnosis and management.

show abstract

Association between wrist wearable digital markers and clinical status in Schizophrenia

Cited by 2 publications

References 7 publications

Wearables in Schizophrenia: Update on Current and Future Clinical Applications

Wearables in Schizophrenia: Update on Current and Future Clinical Applications

Wearables in Schizophrenia: Update on Current and Future Clinical Applications (Preprint)

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