A systematic review on passive sensing for the prediction of suicidal thoughts and behaviors

npj Mental Health Research, Journal Year: 2024, Volume and Issue: 3(1)

Published: Sept. 23, 2024

Passive sensing data from smartphones and wearables may help improve the prediction of suicidal thoughts behaviors (STB). In this systematic review, we explored feasibility predictive validity passive for STB. On June 24, 2024, systematically searched Medline, Embase, Web Science, PubMed, PsycINFO. Studies were eligible if they investigated association between STB sensing, or in context. From 2107 unique records, identified eleven studies, ten seven protocols. indicated generally lower model performance compared to active data, with three out four studies finding no incremental value. PROBAST ratings revealed major shortcomings methodology reporting. suggested that is feasible high-risk populations. conclusion, there limited evidence on value We highlight important quality characteristics future research.

Language: Английский

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Application of a Sociotechnical Framework to Uncover Factors That Influence Effective User Engagement With Digital Mental Health Tools in Clinical Care Contexts: Scoping Review

Journal of Medical Internet Research, Journal Year: 2025, Volume and Issue: 27, P. e67820 - e67820

Published: April 28, 2025

Background Digital health tools such as mobile apps and patient portals continue to be embedded in clinical care pathways enhance mental delivery achieve the quintuple aim of improving experience, population health, team well-being, costs, equity. However, a key issue that has greatly hindered value these is suboptimal user engagement by patients families. With only small fraction users staying engaged over time, there great need better understand factors influence with digital settings. Objective This review aims identify relevant settings using sociotechnical approach. Methods A scoping methodology was used from literature. Five academic databases (MEDLINE, Embase, CINAHL, Web Science, PsycINFO) were searched pertinent articles terms related engagement, tools. The abstracts screened independently 2 reviewers, data extracted standardized extraction form. Articles included if tool had at least 1 patient-facing component clinician-facing component, one objectives article examine tool. An established framework developed Sittig Singh inform mapping analysis factors. Results database search identified 136 for inclusion analysis. Of articles, 84 (61.8%) published last 5 years, 47 (34.6%) United States, 23 (16.9%) Kingdom. regard examining majority (95/136, 69.9%) qualitative approach engagement. From 26 across 7 categories framework. These ranged technology-focused (eg, modality tool) environment alignment workflows) system-level issues reimbursement physician use patients). Conclusions On basis this review, we have uncovered how tool, individuals, environment, system may care. Future work should focus on validating identifying core set essential environments. Moreover, exploring strategies through would useful leaders clinicians interested

Language: Английский

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Examining Passively Collected Smartphone-Based Data in the Days Prior to Psychiatric Hospitalization for a Suicidal Crisis: Comparative Case Analysis

JMIR Formative Research, Journal Year: 2024, Volume and Issue: 8, P. e55999 - e55999

Published: March 20, 2024

Digital phenotyping has seen a broad increase in application across clinical research; however, little research implemented passive assessment approaches for suicide risk detection. There is significant potential novel form of digital phenotyping, termed screenomics, which captures smartphone activity via screenshots.

Language: Английский

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A Comparative Case Analysis of Passively Collected Smartphone-Based Data in the Days Prior to Psychiatric Hospitalization for a Suicidal Crisis

Published: Jan. 2, 2024

Background: Digital phenotyping has seen an increase in application across clinical research broadly, however, little targeted passive assessment approaches to suicide risk detection. There is significant potential of a novel form digital phenotyping, termed screenomics.Objective: This paper focuses on comprehensive case review two participants, detailing their (i.e., obtained via screenomics screenshot capture) and active EMA) profiles that culminated suicidal crises subsequent psychiatric hospitalization. Through this analysis, we shed light the timescale processes as they unfold prior hospitalization, well introduce within field research.Methods: To underscore benefits comprehending risk, analysis concentrates specific type data gleaned from screenshots—text—captured alongside self-reported EMA responses. More specifically, focus following types response / use patterns: general, factors relevant theoretical empirical work those directly suicidality, social content derived screenshots. Results: Our revealed several key findings. First, there was notable decrease compliance which contrasted with overall phone usage leading up particularly marked by heightened use. Additionally, captured prominent precipitating each instance crisis were not detected self-report. Conclusions: preliminary findings passively collected understanding predicting crises. The vast number screenshots participant offers granular look into daily interactions, which, when combined assessments, provides more view individual's psychological time crisis.

Language: Английский

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Examining Passively Collected Smartphone-Based Data in the Days Prior to Psychiatric Hospitalization for a Suicidal Crisis: Comparative Case Analysis (Preprint)

Published: Jan. 2, 2024

Digital phenotyping has seen a broad increase in application across clinical research; however, little research implemented passive assessment approaches for suicide risk detection. There is significant potential novel form of digital phenotyping, termed screenomics, which captures smartphone activity via screenshots. This paper focuses on comprehensive case review 2 participants who reported past 1-month active suicidal ideation, detailing their (ie, obtained screenomics screenshot capture) and ecological momentary [EMA]) profiles that culminated crises subsequent psychiatric hospitalizations. Through this analysis, we shed light the timescale processes as they unfold before hospitalization, well introduce within field research. To underscore benefits comprehending risk, analysis concentrates specific type data gleaned from screenshots—text—captured prior to alongside self-reported EMA responses. Following baseline assessment, completed an intensive time sampling period. During period, screenshots were collected every 5 seconds while one’s phone was use 35 days, 6 times day 28 days. In our focus following: suicide-related content (obtained EMA), factors theoretically empirically relevant social screenshots). Our revealed several key findings. First, there notable decrease compliance during crises, with both completing fewer EMAs days hospitalization. contrasted overall usage leading up particularly marked by heightened use. Screenomics also captured prominent precipitating each instance crisis not detected self-report, specifically physical pain loneliness. preliminary findings passively understanding predicting crises. The vast number participant offers granular look into daily interactions, shedding risks self-report alone. When combined assessments, provides more view individual’s psychological crisis.

Language: Английский

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Self-reported acceptance of a wearable activity monitor in persons with stroke

medRxiv (Cold Spring Harbor Laboratory), Journal Year: 2024, Volume and Issue: unknown

Published: Dec. 16, 2024

ABSTRACT Background Wearable activity monitors offer clinicians and researchers accessible, scalable, cost-effective tools for continuous remote monitoring of functional status. These technologies complement traditional clinical outcome measures by providing detailed, minute-by-minute data on a wide array biometrics that include, as examples, physical heart rate. There is significant potential the use these devices in rehabilitation after stroke; however, perceptions persons with stroke regarding acceptance are not well understood. Objective In this study, we investigated participant-reported wrist-worn wearable monitor (the Fitbit Inspire 2) daily rate stroke. We also assessed relationships between reported real-world device wear. Methods Sixty-five participants wore 2 three months. perceived using Technology Acceptance Questionnaire (TAQ) calculated metrics adherence to wear weeks preceding TAQ administration. then performed Spearman’s correlations assess responses metrics. Results their statements TAQ, most be generally beneficial health, efficient easy don/doff, unintrusive life; agreeable across all seven dimensions indicating general device. Participants an average 80.0% minutes (median: 91%, IQR: 22%) had 78.0% valid days 90%, 33%). Contrary our hypothesis, showed no positive Conclusions Our study highlights among stroke, reporting agreement concerns interpreted being directly relatable post-stroke motor impairment (e.g., minimal about donning doffing devices, independently). findings align previous studies technology other populations support scalable implementation rehabilitation. However, required despite high acceptance, was positively related wearing Accordingly, capable automated management will important scalability larger research cases. summary, provides new insights into association use.

Language: Английский

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Application of a Sociotechnical Framework to Uncover Factors That Influence Effective User Engagement With Digital Mental Health Tools in Clinical Care Contexts: Scoping Review (Preprint)

Published: Oct. 21, 2024

Digital health tools such as mobile apps and patient portals continue to be embedded in clinical care pathways enhance mental delivery achieve the quintuple aim of improving experience, population health, team well-being, costs, equity. However, a key issue that has greatly hindered value these is suboptimal user engagement by patients families. With only small fraction users staying engaged over time, there great need better understand factors influence with digital settings. This review aims identify relevant settings using sociotechnical approach. A scoping methodology was used from literature. Five academic databases (MEDLINE, Embase, CINAHL, Web Science, PsycINFO) were searched pertinent articles terms related engagement, tools. The abstracts screened independently 2 reviewers, data extracted standardized extraction form. Articles included if tool had at least 1 patient-facing component clinician-facing component, one objectives article examine tool. An established framework developed Sittig Singh inform mapping analysis factors. database search identified 136 for inclusion analysis. Of articles, 84 (61.8%) published last 5 years, 47 (34.6%) United States, 23 (16.9%) Kingdom. regard examining majority (95/136, 69.9%) qualitative approach engagement. From 26 across 7 categories framework. These ranged technology-focused (eg, modality tool) environment alignment workflows) system-level issues reimbursement physician use patients). On basis this review, we have uncovered how tool, individuals, environment, system may care. Future work should focus on validating identifying core set essential environments. Moreover, exploring strategies through would useful leaders clinicians interested

Language: Английский

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