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Deprecated: Implicit conversion from float 217.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 BMJ+Open 2020 ; 10 (12): e042647 Nephropedia Template TP
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Remote monitoring of marginalised populations affected by COVID-19: a retrospective review #MMPMID33384398
Ko SQ; Hooi BMY; Koo CY; Chor DWP; Ling ZJ; Chee YL; Jen WY
BMJ Open 2020[Dec]; 10 (12): e042647 PMID33384398show ga
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.