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Remote monitoring of marginalised populations affected by COVID-19: a retrospective review

OBJECTIVES: The COVID-19 outbreak in Singapore has largely centred around migrant worker dormitories, comprising over 90% of all cases in the country. Dormitories are home to a culturally and linguistically distinct, low-income population, without on-site healthcare after-hours. The primary objectiv...

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Autores principales: Ko, Stephanie Q, Hooi, Benjamin M Y, Koo, Chieh-Yang, Chor, Daniel W P, Ling, Zheng Jye, Chee, Yen-Lin, Jen, Wei-Ying
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BMJ Publishing Group 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7780423/
https://www.ncbi.nlm.nih.gov/pubmed/33384398
http://dx.doi.org/10.1136/bmjopen-2020-042647
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author Ko, Stephanie Q
Hooi, Benjamin M Y
Koo, Chieh-Yang
Chor, Daniel W P
Ling, Zheng Jye
Chee, Yen-Lin
Jen, Wei-Ying
author_facet Ko, Stephanie Q
Hooi, Benjamin M Y
Koo, Chieh-Yang
Chor, Daniel W P
Ling, Zheng Jye
Chee, Yen-Lin
Jen, Wei-Ying
author_sort Ko, Stephanie Q
collection PubMed
description OBJECTIVES: The COVID-19 outbreak in Singapore has largely centred around migrant worker dormitories, comprising over 90% of all cases in the country. Dormitories are home to a culturally and linguistically distinct, low-income population, without on-site healthcare after-hours. The primary objective of this study was to assess the engagement and utilisation of a simple, low-cost, accessible, mobile health solution for remote self-reporting of vital parameters in dormitory residents with COVID-19. DESIGN: Retrospective review of medical care. SETTING: Two large migrant worker dormitories with a combined population of 31 546. PARTICIPANTS: All COVID-19-affected residents housed in dormitories during the study period. INTERVENTION: All residents were taught to use a chat assistant to self-report their temperature, heart rate and oxygen saturations. Results flowed into a dashboard, which alerted clinicians of abnormal results. OUTCOMES: The primary outcome measure was engagement rate. This was derived from the total number of residents who registered on the platform over the total number of COVID-19-affected residents in the dormitories during the study period. Secondary outcome measures included outcomes of the alerts and subsequent escalations of care. RESULTS: 800 of the 931 COVID-19-affected residents (85.9%) engaged with the platform to log a total of 12 511 discrete episodes of vital signs. Among 372 abnormal readings, 96 teleconsultations were initiated, of which 7 (1.8%) were escalated to emergency services and 18 (4.9%) were triaged to earlier physical medical review on-site. CONCLUSIONS: A chat-assistant-based self-reporting platform is an effective and safe community-based intervention to monitor marginalised populations with distinct cultural and linguistic backgrounds, living communally and affected by COVID-19. Lessons learnt from this approach may be applied to develop safe and cost-effective telemedicine solutions across similar settings.
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spelling pubmed-77804232021-01-04 Remote monitoring of marginalised populations affected by COVID-19: a retrospective review Ko, Stephanie Q Hooi, Benjamin M Y Koo, Chieh-Yang Chor, Daniel W P Ling, Zheng Jye Chee, Yen-Lin Jen, Wei-Ying BMJ Open Health Services Research OBJECTIVES: The COVID-19 outbreak in Singapore has largely centred around migrant worker dormitories, comprising over 90% of all cases in the country. Dormitories are home to a culturally and linguistically distinct, low-income population, without on-site healthcare after-hours. The primary objective of this study was to assess the engagement and utilisation of a simple, low-cost, accessible, mobile health solution for remote self-reporting of vital parameters in dormitory residents with COVID-19. DESIGN: Retrospective review of medical care. SETTING: Two large migrant worker dormitories with a combined population of 31 546. PARTICIPANTS: All COVID-19-affected residents housed in dormitories during the study period. INTERVENTION: All residents were taught to use a chat assistant to self-report their temperature, heart rate and oxygen saturations. Results flowed into a dashboard, which alerted clinicians of abnormal results. OUTCOMES: The primary outcome measure was engagement rate. This was derived from the total number of residents who registered on the platform over the total number of COVID-19-affected residents in the dormitories during the study period. Secondary outcome measures included outcomes of the alerts and subsequent escalations of care. RESULTS: 800 of the 931 COVID-19-affected residents (85.9%) engaged with the platform to log a total of 12 511 discrete episodes of vital signs. Among 372 abnormal readings, 96 teleconsultations were initiated, of which 7 (1.8%) were escalated to emergency services and 18 (4.9%) were triaged to earlier physical medical review on-site. CONCLUSIONS: A chat-assistant-based self-reporting platform is an effective and safe community-based intervention to monitor marginalised populations with distinct cultural and linguistic backgrounds, living communally and affected by COVID-19. Lessons learnt from this approach may be applied to develop safe and cost-effective telemedicine solutions across similar settings. BMJ Publishing Group 2020-12-30 /pmc/articles/PMC7780423/ /pubmed/33384398 http://dx.doi.org/10.1136/bmjopen-2020-042647 Text en © Author(s) (or their employer(s)) 2020. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ. https://creativecommons.org/licenses/by-nc/4.0/This is an open access article distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited, appropriate credit is given, any changes made indicated, and the use is non-commercial. See: http://creativecommons.org/licenses/by-nc/4.0/ (https://creativecommons.org/licenses/by-nc/4.0/) .
spellingShingle Health Services Research
Ko, Stephanie Q
Hooi, Benjamin M Y
Koo, Chieh-Yang
Chor, Daniel W P
Ling, Zheng Jye
Chee, Yen-Lin
Jen, Wei-Ying
Remote monitoring of marginalised populations affected by COVID-19: a retrospective review
title Remote monitoring of marginalised populations affected by COVID-19: a retrospective review
title_full Remote monitoring of marginalised populations affected by COVID-19: a retrospective review
title_fullStr Remote monitoring of marginalised populations affected by COVID-19: a retrospective review
title_full_unstemmed Remote monitoring of marginalised populations affected by COVID-19: a retrospective review
title_short Remote monitoring of marginalised populations affected by COVID-19: a retrospective review
title_sort remote monitoring of marginalised populations affected by covid-19: a retrospective review
topic Health Services Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7780423/
https://www.ncbi.nlm.nih.gov/pubmed/33384398
http://dx.doi.org/10.1136/bmjopen-2020-042647
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