Home > Research > Publications & Outputs > Integration of a smartwatch within an internet-...

Links

Text available via DOI:

View graph of relations

Integration of a smartwatch within an internet-delivered intervention for depression: Protocol for a feasibility randomized controlled trial on acceptance

Research output: Contribution to Journal/MagazineJournal articlepeer-review

Published

Standard

Integration of a smartwatch within an internet-delivered intervention for depression: Protocol for a feasibility randomized controlled trial on acceptance. / Nadal, Camille; Earley, Caroline; Enrique, Angel et al.
In: Contemporary Clinical Trials, Vol. 103, 106323, 30.04.2021.

Research output: Contribution to Journal/MagazineJournal articlepeer-review

Harvard

APA

Nadal, C., Earley, C., Enrique, A., Vigano, N., Sas, C., Richards, D., & Doherty, G. (2021). Integration of a smartwatch within an internet-delivered intervention for depression: Protocol for a feasibility randomized controlled trial on acceptance. Contemporary Clinical Trials, 103, Article 106323. https://doi.org/10.1016/j.cct.2021.106323

Vancouver

Nadal C, Earley C, Enrique A, Vigano N, Sas C, Richards D et al. Integration of a smartwatch within an internet-delivered intervention for depression: Protocol for a feasibility randomized controlled trial on acceptance. Contemporary Clinical Trials. 2021 Apr 30;103:106323. Epub 2021 Feb 20. doi: 10.1016/j.cct.2021.106323

Author

Nadal, Camille ; Earley, Caroline ; Enrique, Angel et al. / Integration of a smartwatch within an internet-delivered intervention for depression : Protocol for a feasibility randomized controlled trial on acceptance. In: Contemporary Clinical Trials. 2021 ; Vol. 103.

Bibtex

@article{df61d0d848da497c81c9416607b1f6ec,
title = "Integration of a smartwatch within an internet-delivered intervention for depression: Protocol for a feasibility randomized controlled trial on acceptance",
abstract = "BackgroundMood tracking is commonly employed within a range of mental health interventions. Physical activity and sleep are also important for contextualizing mood data but can be difficult to track manually and rely on retrospective recall. Smartwatches could enhance self-monitoring by addressing difficulties in recall of sleep and physical activity and reducing the burden on patients in terms of remembering to track and the effort of tracking. This feasibility study will explore the acceptance of a smartwatch app for self-monitoring of mood, sleep, and physical activity, in an internet-based cognitive-behavioral therapy (iCBT) for depression offered in a routine care setting.MethodsSeventy participants will be randomly allocated to (i) iCBT intervention plus smartwatch app or (ii) iCBT intervention alone. Patient acceptance will be measured longitudinally using a theory-based acceptance questionnaire to understand and compare the evolution of acceptance of the technology-delivered self-report in the two groups. A post-treatment interview will explore participants subjective experience of using the smartwatch. Engagement with the intervention, including self-report, and clinical outcomes, will be measured across both groups to assess for any differences.ImplicationsThis is the first study investigating the evolution of patient acceptance of smartwatch self-report in an iCBT delivered intervention in a clinical sample. Through an engaging and convenient means of capturing ecologically valid mood data, the study has the potential to show that smartwatches are an acceptable means for patient self-monitoring within iCBT interventions for depression and support potential use-cases for smartwatches in the context of mental health interventions in general.Prospectively registered at ClinicalTrials.gov number: NCT04568317",
keywords = "Patient acceptance, Internet-delivered treatment, Depression, Self-monitoring, Smartwatch, Wearable",
author = "Camille Nadal and Caroline Earley and Angel Enrique and Noemi Vigano and Corina Sas and Derek Richards and Gavin Doherty",
year = "2021",
month = apr,
day = "30",
doi = "10.1016/j.cct.2021.106323",
language = "English",
volume = "103",
journal = "Contemporary Clinical Trials",
issn = "1551-7144",
publisher = "Elsevier Inc.",

}

RIS

TY - JOUR

T1 - Integration of a smartwatch within an internet-delivered intervention for depression

T2 - Protocol for a feasibility randomized controlled trial on acceptance

AU - Nadal, Camille

AU - Earley, Caroline

AU - Enrique, Angel

AU - Vigano, Noemi

AU - Sas, Corina

AU - Richards, Derek

AU - Doherty, Gavin

PY - 2021/4/30

Y1 - 2021/4/30

N2 - BackgroundMood tracking is commonly employed within a range of mental health interventions. Physical activity and sleep are also important for contextualizing mood data but can be difficult to track manually and rely on retrospective recall. Smartwatches could enhance self-monitoring by addressing difficulties in recall of sleep and physical activity and reducing the burden on patients in terms of remembering to track and the effort of tracking. This feasibility study will explore the acceptance of a smartwatch app for self-monitoring of mood, sleep, and physical activity, in an internet-based cognitive-behavioral therapy (iCBT) for depression offered in a routine care setting.MethodsSeventy participants will be randomly allocated to (i) iCBT intervention plus smartwatch app or (ii) iCBT intervention alone. Patient acceptance will be measured longitudinally using a theory-based acceptance questionnaire to understand and compare the evolution of acceptance of the technology-delivered self-report in the two groups. A post-treatment interview will explore participants subjective experience of using the smartwatch. Engagement with the intervention, including self-report, and clinical outcomes, will be measured across both groups to assess for any differences.ImplicationsThis is the first study investigating the evolution of patient acceptance of smartwatch self-report in an iCBT delivered intervention in a clinical sample. Through an engaging and convenient means of capturing ecologically valid mood data, the study has the potential to show that smartwatches are an acceptable means for patient self-monitoring within iCBT interventions for depression and support potential use-cases for smartwatches in the context of mental health interventions in general.Prospectively registered at ClinicalTrials.gov number: NCT04568317

AB - BackgroundMood tracking is commonly employed within a range of mental health interventions. Physical activity and sleep are also important for contextualizing mood data but can be difficult to track manually and rely on retrospective recall. Smartwatches could enhance self-monitoring by addressing difficulties in recall of sleep and physical activity and reducing the burden on patients in terms of remembering to track and the effort of tracking. This feasibility study will explore the acceptance of a smartwatch app for self-monitoring of mood, sleep, and physical activity, in an internet-based cognitive-behavioral therapy (iCBT) for depression offered in a routine care setting.MethodsSeventy participants will be randomly allocated to (i) iCBT intervention plus smartwatch app or (ii) iCBT intervention alone. Patient acceptance will be measured longitudinally using a theory-based acceptance questionnaire to understand and compare the evolution of acceptance of the technology-delivered self-report in the two groups. A post-treatment interview will explore participants subjective experience of using the smartwatch. Engagement with the intervention, including self-report, and clinical outcomes, will be measured across both groups to assess for any differences.ImplicationsThis is the first study investigating the evolution of patient acceptance of smartwatch self-report in an iCBT delivered intervention in a clinical sample. Through an engaging and convenient means of capturing ecologically valid mood data, the study has the potential to show that smartwatches are an acceptable means for patient self-monitoring within iCBT interventions for depression and support potential use-cases for smartwatches in the context of mental health interventions in general.Prospectively registered at ClinicalTrials.gov number: NCT04568317

KW - Patient acceptance

KW - Internet-delivered treatment

KW - Depression

KW - Self-monitoring

KW - Smartwatch

KW - Wearable

U2 - 10.1016/j.cct.2021.106323

DO - 10.1016/j.cct.2021.106323

M3 - Journal article

VL - 103

JO - Contemporary Clinical Trials

JF - Contemporary Clinical Trials

SN - 1551-7144

M1 - 106323

ER -