Redesigning Portable Health Clinic Platform as a Remote Healthcare System to Tackle Covid-19 Pandemic Situation in Unreached Communities

Bibliographic Data

ID15513010
AuthorsMasuda Begum Sampa (0000-0003-1707-0227, Kyushu University, corresponding author), Md Rakibul Hoque (0000-0002-4516-1081, Emporia State University), Rafiqul Islam (0000-0003-0545-6595, Kyushu University Hospital), Mariko Nishikitani (0000-0001-5181-0263, Kyushu University Hospital), Naoki Nakashima (0000-0003-4926-8772, Kyushu University Hospital), Fumihiko Yokota (0000-0002-8452-6063, Kyushu University), Kimiyo Kikuchi (0000-0002-9397-4327, Kyushu University), Md Moshiur Rahman (0000-0002-5475-986X, Hiroshima University), Faiz Shah (0000-0003-1233-5425, Asian Institute of Technology), Ashir Ahmed (0000-0002-8125-471X, Kyushu University)
Year2020
Volume17
Issue13
Pages4709-4709
Publication date2020-06-30
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenueInternational Journal of Environmental Research and Public Health (JOURNAL)
Journal identifiersISSN: 1661-7827 • E-ISSN: 1660-4601
PublisherMultidisciplinary Digital Publishing Institute (PUBLISHER • CH)
DOI10.3390/ijerph17134709
PMID32629963
OpenAlexW3040344899
LanguageEN
Citations received3
References cited26

Medical staff carry an inordinate risk of infection from patients, and many doctors, nurses, and other healthcare workers are affected by COVID-19 worldwide. The unreached communities with noncommunicable diseases (NCDs) such as chronic cardiovascular, respiratory, endocrine, digestive, or renal diseases became more vulnerable during this pandemic situation. In both cases, Remote Healthcare Systems (RHS) may help minimize the risk of SARS-CoV-2 transmission. This study used the WHO guidelines and Design Science Research (DSR) framework to redesign the Portable Health Clinic (PHC), an RHS, for the containment of the spread of COVID-19 as well as proposed corona logic (C-Logic) for the main symptoms of COVID-19. Using the distributed service platform of PHC, a trained healthcare worker with appropriate testing kits can screen high-risk individuals and can help optimize triage to medical services. PHC with its new triage algorithm (C-Logic) classifies the patients according to whether the patient needs to move to a clinic for a PCR test. Through modified PHC service, we can help people to boost their knowledge, attitude (feelings/beliefs), and self-efficacy to execute preventing measures. Our initial examination of the suitability of the PHC and its associated technologies as a key contributor to public health responses is designed to "flatten the curve", particularly among unreached high-risk NCD populations in developing countries. Theoretically, this study contributes to design science research by introducing a modified healthcare providing model

Business · Coronavirus disease 2019 (COVID-19 · Disease · Health care · Medical emergency · Pandemic · Political science · Service (business · Telemedicine · Test (biology · Triage · COVID-19 and Mental Health · COVID-19 diagnosis using AI · COVID-19 epidemiological studies · Medicine · Nursing · Marketing

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