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Wearable-based physical activity and sleep monitoring in substance use disorder treatment settings is feasible but requires structural and procedural safeguards to manage high wearable loss rates.

In a longitudinal study across 8 SUD treatment and recovery service sites in Western Australia, 13 out of 63 wearables (20.6%) were permanently lost, compared to approximately 1% in general population studies. Loss occurred almost exclusively in residential care settings and coincided with participant exit from treatment, with no losses due to technical malfunction or deliberate non-compliance.

Last updated: Aug 22, 2026โ€ข0 RCTsโ€ข๐Ÿ“– Read as article โ†’

Evidence Score

Evidence Score32/100
Human RCTโ˜†โ˜†โ˜†โ˜†โ˜†
Meta-analysisโ˜†โ˜†โ˜†โ˜†โ˜†
Mechanismโ˜…โ˜…โ˜…โ˜…โ˜…
Safetyโ˜…โ˜…โ˜…โ˜…โ˜†
Confidencelow

Study Evidence

Study 1. Feasibility of Using Wearables to Monitor Physical Activity and Sleep During Substance Use Disorder Treatment: Insights From a Longitudinal Study.

observational

Thal S, Pang B, McVeigh J, Richardson C, Myers B ยท Substance use & addiction journal (2026)

Participants: N/A
Duration: Longitudinal (ongoing study, duration not specified in abstract)
Intervention: Deployment of SENS Motion wearables to monitor physical activity and sleep during substance use disorder treatment
Outcome: Feasibility outcomes including wearable loss rate, and qualitative analysis of challenges and mitigation strategies
Effect Size: N/A
Population: 63 participants across 8 substance use disorder treatment and recovery service sites in Western Australia (residential, continued-care, and community-based services)

Result:

Mechanism Graph

Wearables were deployed to participants in SUD treatment settings.
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Wearable loss was tracked as a key feasibility outcome.
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Advisory group (lived experience, stakeholders, researchers) contextualized challenges via qualitative content analysis.
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High loss rates (20.6%) were identified, primarily in residential settings during treatment transitions.
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Recommendations include integrating wearable retrieval into discharge workflows and clarifying responsibility between research teams and service partners.

Limitations

  • โš Single study with a relatively small sample size (63 participants) and specific geographic region (Western Australia), limiting generalizability.
  • โš Wearable loss was the primary feasibility outcome; other feasibility aspects (e.g., data completeness, user acceptance) were not quantitatively assessed.
  • โš Qualitative analysis relied on advisory group perspectives, which may not fully represent all participant experiences.

Frequently Asked Questions

What was the wearable loss rate in this study?โ–ผ

13 out of 63 wearables (20.6%) were permanently lost, compared to approximately 1% in general population studies.

Where did wearable loss most commonly occur?โ–ผ

Loss occurred almost exclusively in residential care settings, with rates ranging from 14.3% to 42.9% across facilities, and coincided with participant exit from treatment.

Were any wearable losses due to technical malfunction or deliberate non-compliance?โ–ผ

No, no losses were attributable to technical malfunction or deliberate non-compliance.

What recommendations were made to improve feasibility?โ–ผ

Recommendations include integrating wearable retrieval into discharge workflows and clarifying responsibility between research teams and service partners to anticipate high rates of unplanned treatment discontinuation.

Products

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References

  1. 1.Thal S, Pang B, McVeigh J, Richardson C, Myers B. "Feasibility of Using Wearables to Monitor Physical Activity and Sleep During Substance Use Disorder Treatment: Insights From a Longitudinal Study.." Substance use & addiction journal, 2026. PMID: 42606155 DOI: 10.1177/29767342261476441
Disclaimer: This content is for educational purposes only and is not medical advice. Evidence scores reflect the quality and quantity of available research, not clinical recommendations. Always consult a healthcare professional before starting any supplement or intervention.