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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...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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BMJ Publishing Group
2020
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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. |
format | Online Article Text |
id | pubmed-7780423 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | BMJ Publishing Group |
record_format | MEDLINE/PubMed |
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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