Evidence map›Paper›PMID 32629963›Full record

ArticleInternational journal of environmental research and public health2020

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

Masuda Begum Sampa, Md Rakibul Hoque, Rafiqul Islam, Mariko Nishikitani, Naoki Nakashima, Fumihiko Yokota, Kimiyo Kikuchi, Md Moshiur Rahman, Faiz Shah, Ashir Ahmed

Open access · goldAbstract read
In one paragraph

Article in International journal of environmental research and public health, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
1.9field-weighted citation impact, top 9% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

5 citing papers in PubMed, 27 citations in OpenAlex.

  1. Article
  2. Article
  3. Impact of the COVID-19 Pandemic on Patients Affected by Non-Communicable Diseases in Europe and in the USA.International journal of environmental research and public health · 2021
    Article
  4. Article
  5. Health 4.0: On the Way to Realizing the Healthcare of the Future.IEEE access : practical innovations, open solutions · 2020
    Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

10 authors at 5 institutions in 3 countries.

Masuda Begum SampaDepartment of Advanced Information Technology, Kyushu University, Fukuoka 819-0395, Japan.ORCID 0000-0003-1707-0227
Md Rakibul HoqueSchool of Business, Emporia State University, Emporia, KS 66801, USA.
Rafiqul IslamMedical Information Center, Kyushu University Hospital, Fukuoka 812-8582, Japan.
Mariko NishikitaniMedical Information Center, Kyushu University Hospital, Fukuoka 812-8582, Japan.
Naoki NakashimaMedical Information Center, Kyushu University Hospital, Fukuoka 812-8582, Japan.
Fumihiko YokotaInstitute of Decision Science for Sustainable Society, Kyushu University, Fukuoka 819-0395, Japan.
Kimiyo KikuchiDepartment of Health Sciences, Faculty of Medical Sciences, Kyushu University, Fukuoka 812-8582, Japan.
Md Moshiur RahmanGraduate School of Biomedical and Health Sciences, Hiroshima University, Hiroshima 734-8553, Japan.ORCID 0000-0002-5475-986X
Faiz ShahYunus Center, Asian Institute of Technology, Klong Luang, Pathumthani 1212, Thailand.
Ashir AhmedDepartment of Advanced Information Technology, Kyushu University, Fukuoka 819-0395, Japan.
Kyushu University · JPKyushu University Hospital · JPAsian Institute of Technology · THEmporia State University · USHiroshima University · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

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.

Indexed as

Medically Underserved AreaTelemedicineAmbulatory Care FacilitiesBetacoronavirusCoronavirus InfectionsCOVID-19Delivery of Health CareHumansModels, TheoreticalPandemicsPneumonia, ViralPublic HealthSARS-CoV-2TriageCOVID-19developing countriesportable health clinicremote healthcare systemunreached communities

Identifiers

PMID32629963
PMCPMC7370203
OpenAlexW3040344899

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.