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An Alternative to the Light Touch Digital Health Remote Study: The Stress and Recovery in Frontline COVID-19 Health Care Workers Study

BACKGROUND: Several app-based studies share similar characteristics of a light touch approach that recruit, enroll, and onboard via a smartphone app and attempt to minimize burden through low-friction active study tasks while emphasizing the collection of passive data with minimal human contact. How...

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Autores principales: Goodday, Sarah M, Karlin, Emma, Alfarano, Alexandria, Brooks, Alexa, Chapman, Carol, Desille, Rachelle, Rangwala, Shazia, Karlin, Daniel R, Emami, Hoora, Woods, Nancy Fugate, Boch, Adrien, Foschini, Luca, Wildman, Mackenzie, Cormack, Francesca, Taptiklis, Nick, Pratap, Abhishek, Ghassemi, Marzyeh, Goldenberg, Anna, Nagaraj, Sujay, Walsh, Elaine, Friend, Stephen
Formato: Online Artículo Texto
Lenguaje:English
Publicado: JMIR Publications 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8668021/
https://www.ncbi.nlm.nih.gov/pubmed/34726607
http://dx.doi.org/10.2196/32165
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author Goodday, Sarah M
Karlin, Emma
Alfarano, Alexandria
Brooks, Alexa
Chapman, Carol
Desille, Rachelle
Rangwala, Shazia
Karlin, Daniel R
Emami, Hoora
Woods, Nancy Fugate
Boch, Adrien
Foschini, Luca
Wildman, Mackenzie
Cormack, Francesca
Taptiklis, Nick
Pratap, Abhishek
Ghassemi, Marzyeh
Goldenberg, Anna
Nagaraj, Sujay
Walsh, Elaine
Friend, Stephen
author_facet Goodday, Sarah M
Karlin, Emma
Alfarano, Alexandria
Brooks, Alexa
Chapman, Carol
Desille, Rachelle
Rangwala, Shazia
Karlin, Daniel R
Emami, Hoora
Woods, Nancy Fugate
Boch, Adrien
Foschini, Luca
Wildman, Mackenzie
Cormack, Francesca
Taptiklis, Nick
Pratap, Abhishek
Ghassemi, Marzyeh
Goldenberg, Anna
Nagaraj, Sujay
Walsh, Elaine
Friend, Stephen
author_sort Goodday, Sarah M
collection PubMed
description BACKGROUND: Several app-based studies share similar characteristics of a light touch approach that recruit, enroll, and onboard via a smartphone app and attempt to minimize burden through low-friction active study tasks while emphasizing the collection of passive data with minimal human contact. However, engagement is a common challenge across these studies, reporting low retention and adherence. OBJECTIVE: This study aims to describe an alternative to a light touch digital health study that involved a participant-centric design including high friction app-based assessments, semicontinuous passive data from wearable sensors, and a digital engagement strategy centered on providing knowledge and support to participants. METHODS: The Stress and Recovery in Frontline COVID-19 Health Care Workers Study included US frontline health care workers followed between May and November 2020. The study comprised 3 main components: (1) active and passive assessments of stress and symptoms from a smartphone app, (2) objective measured assessments of acute stress from wearable sensors, and (3) a participant codriven engagement strategy that centered on providing knowledge and support to participants. The daily participant time commitment was an average of 10 to 15 minutes. Retention and adherence are described both quantitatively and qualitatively. RESULTS: A total of 365 participants enrolled and started the study, and 81.0% (n=297) of them completed the study for a total study duration of 4 months. Average wearable sensor use was 90.6% days of total study duration. App-based daily, weekly, and every other week surveys were completed on average 69.18%, 68.37%, and 72.86% of the time, respectively. CONCLUSIONS: This study found evidence for the feasibility and acceptability of a participant-centric digital health study approach that involved building trust with participants and providing support through regular phone check-ins. In addition to high retention and adherence, the collection of large volumes of objective measured data alongside contextual self-reported subjective data was able to be collected, which is often missing from light touch digital health studies. TRIAL REGISTRATION: ClinicalTrials.gov NCT04713111; https://clinicaltrials.gov/ct2/show/NCT04713111
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spelling pubmed-86680212022-01-10 An Alternative to the Light Touch Digital Health Remote Study: The Stress and Recovery in Frontline COVID-19 Health Care Workers Study Goodday, Sarah M Karlin, Emma Alfarano, Alexandria Brooks, Alexa Chapman, Carol Desille, Rachelle Rangwala, Shazia Karlin, Daniel R Emami, Hoora Woods, Nancy Fugate Boch, Adrien Foschini, Luca Wildman, Mackenzie Cormack, Francesca Taptiklis, Nick Pratap, Abhishek Ghassemi, Marzyeh Goldenberg, Anna Nagaraj, Sujay Walsh, Elaine Friend, Stephen JMIR Form Res Original Paper BACKGROUND: Several app-based studies share similar characteristics of a light touch approach that recruit, enroll, and onboard via a smartphone app and attempt to minimize burden through low-friction active study tasks while emphasizing the collection of passive data with minimal human contact. However, engagement is a common challenge across these studies, reporting low retention and adherence. OBJECTIVE: This study aims to describe an alternative to a light touch digital health study that involved a participant-centric design including high friction app-based assessments, semicontinuous passive data from wearable sensors, and a digital engagement strategy centered on providing knowledge and support to participants. METHODS: The Stress and Recovery in Frontline COVID-19 Health Care Workers Study included US frontline health care workers followed between May and November 2020. The study comprised 3 main components: (1) active and passive assessments of stress and symptoms from a smartphone app, (2) objective measured assessments of acute stress from wearable sensors, and (3) a participant codriven engagement strategy that centered on providing knowledge and support to participants. The daily participant time commitment was an average of 10 to 15 minutes. Retention and adherence are described both quantitatively and qualitatively. RESULTS: A total of 365 participants enrolled and started the study, and 81.0% (n=297) of them completed the study for a total study duration of 4 months. Average wearable sensor use was 90.6% days of total study duration. App-based daily, weekly, and every other week surveys were completed on average 69.18%, 68.37%, and 72.86% of the time, respectively. CONCLUSIONS: This study found evidence for the feasibility and acceptability of a participant-centric digital health study approach that involved building trust with participants and providing support through regular phone check-ins. In addition to high retention and adherence, the collection of large volumes of objective measured data alongside contextual self-reported subjective data was able to be collected, which is often missing from light touch digital health studies. TRIAL REGISTRATION: ClinicalTrials.gov NCT04713111; https://clinicaltrials.gov/ct2/show/NCT04713111 JMIR Publications 2021-12-10 /pmc/articles/PMC8668021/ /pubmed/34726607 http://dx.doi.org/10.2196/32165 Text en ©Sarah M Goodday, Emma Karlin, Alexandria Alfarano, Alexa Brooks, Carol Chapman, Rachelle Desille, Shazia Rangwala, Daniel R Karlin, Hoora Emami, Nancy Fugate Woods, Adrien Boch, Luca Foschini, Mackenzie Wildman, Francesca Cormack, Nick Taptiklis, Abhishek Pratap, Marzyeh Ghassemi, Anna Goldenberg, Sujay Nagaraj, Elaine Walsh, Stress And Recovery Participants, Stephen Friend. Originally published in JMIR Formative Research (https://formative.jmir.org), 10.12.2021. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work, first published in JMIR Formative Research, is properly cited. The complete bibliographic information, a link to the original publication on https://formative.jmir.org, as well as this copyright and license information must be included.
spellingShingle Original Paper
Goodday, Sarah M
Karlin, Emma
Alfarano, Alexandria
Brooks, Alexa
Chapman, Carol
Desille, Rachelle
Rangwala, Shazia
Karlin, Daniel R
Emami, Hoora
Woods, Nancy Fugate
Boch, Adrien
Foschini, Luca
Wildman, Mackenzie
Cormack, Francesca
Taptiklis, Nick
Pratap, Abhishek
Ghassemi, Marzyeh
Goldenberg, Anna
Nagaraj, Sujay
Walsh, Elaine
Friend, Stephen
An Alternative to the Light Touch Digital Health Remote Study: The Stress and Recovery in Frontline COVID-19 Health Care Workers Study
title An Alternative to the Light Touch Digital Health Remote Study: The Stress and Recovery in Frontline COVID-19 Health Care Workers Study
title_full An Alternative to the Light Touch Digital Health Remote Study: The Stress and Recovery in Frontline COVID-19 Health Care Workers Study
title_fullStr An Alternative to the Light Touch Digital Health Remote Study: The Stress and Recovery in Frontline COVID-19 Health Care Workers Study
title_full_unstemmed An Alternative to the Light Touch Digital Health Remote Study: The Stress and Recovery in Frontline COVID-19 Health Care Workers Study
title_short An Alternative to the Light Touch Digital Health Remote Study: The Stress and Recovery in Frontline COVID-19 Health Care Workers Study
title_sort alternative to the light touch digital health remote study: the stress and recovery in frontline covid-19 health care workers study
topic Original Paper
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8668021/
https://www.ncbi.nlm.nih.gov/pubmed/34726607
http://dx.doi.org/10.2196/32165
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