Evidence map›Paper›PMID 34536808›Full record

ArticleInternational journal of medical informatics2021

Utility and usability of an automated COVID-19 symptom monitoring system (CoSMoS) in primary care during COVID-19 pandemic: A qualitative feasibility study.

Hooi Min Lim, Adina Abdullah, Chirk Jenn Ng, Chin Hai Teo, Indra Gayatri Valliyappan, Haireen Abdul Hadi, Wei Leik Ng, Abdul Muhaimin Noor Azhar, Thiam Kian Chiew, Chee Sun Liew and 1 more

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Article in International journal of medical informatics, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
4.3field-weighted citation impact, top 5% 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

9 citing papers in PubMed, 24 citations in OpenAlex.

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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

11 authors at 2 institutions in 1 country.

Hooi Min LimDepartment of Primary Care Medicine, University of Malaya Medical Centre, 59100 Kuala Lumpur, Malaysia; University of Malaya eHealth Unit, Faculty of Medicine, University of Malaya, 50603 Kuala Lumpur, Malaysia; Department of Primary Care Medicine, Faculty of Medicine, University of Malaya, 50603 Kuala Lumpur, Malaysia.
Adina AbdullahUniversity of Malaya eHealth Unit, Faculty of Medicine, University of Malaya, 50603 Kuala Lumpur, Malaysia; Department of Primary Care Medicine, Faculty of Medicine, University of Malaya, 50603 Kuala Lumpur, Malaysia. Electronic address: adina@ummc.edu.my.
Chirk Jenn NgUniversity of Malaya eHealth Unit, Faculty of Medicine, University of Malaya, 50603 Kuala Lumpur, Malaysia; Department of Primary Care Medicine, Faculty of Medicine, University of Malaya, 50603 Kuala Lumpur, Malaysia.
Chin Hai TeoUniversity of Malaya eHealth Unit, Faculty of Medicine, University of Malaya, 50603 Kuala Lumpur, Malaysia.
Indra Gayatri ValliyappanDepartment of Primary Care Medicine, Faculty of Medicine, University of Malaya, 50603 Kuala Lumpur, Malaysia.
Haireen Abdul HadiDepartment of Primary Care Medicine, Faculty of Medicine, University of Malaya, 50603 Kuala Lumpur, Malaysia.
Wei Leik NgDepartment of Primary Care Medicine, Faculty of Medicine, University of Malaya, 50603 Kuala Lumpur, Malaysia.
Abdul Muhaimin Noor AzharDepartment of Emergency Medicine, Faculty of Medicine, University of Malaya, 50603 Kuala Lumpur, Malaysia.
Thiam Kian ChiewUniversity of Malaya eHealth Unit, Faculty of Medicine, University of Malaya, 50603 Kuala Lumpur, Malaysia; Department of Software Engineering, Faculty of Computer Science & Information Technology, University of Malaya, 50603 Kuala Lumpur, Malaysia.
Chee Sun LiewUniversity of Malaya eHealth Unit, Faculty of Medicine, University of Malaya, 50603 Kuala Lumpur, Malaysia; Department of Computer System & Technology, Faculty of Computer Science & Information Technology, University of Malaya, 50603 Kuala Lumpur, Malaysia.
Chee Seng ChanUniversity of Malaya eHealth Unit, Faculty of Medicine, University of Malaya, 50603 Kuala Lumpur, Malaysia; Department of Artificial Intelligence, Faculty of Computer Science & Information Technology, University of Malaya, 50603 Kuala Lumpur, Malaysia.
University of Malaya · MYUniversity Malaya Medical Centre · MY

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundCOVID-19 telemonitoring applications have been developed and used in primary care to monitor patients quarantined at home. There is a lack of evidence on the utility and usability of telemonitoring applications from end-users' perspective.

objectivesThis study aimed to evaluate the feasibility of a COVID-19 symptom monitoring system (CoSMoS) by exploring its utility and usability with end-users.

methodsThis was a qualitative study using in-depth interviews. Patients with suspected COVID-19 infection who used CoSMoS Telegram bot to monitor their COVID-19 symptoms and doctors who conducted the telemonitoring via CoSMoS dashboard were recruited. Universal sampling was used in this study. We stopped the recruitment when data saturation was reached. Patients and doctors shared their experiences using CoSMoS, its utility and usability for COVID-19 symptoms monitoring. Data were coded and analysed using thematic analysis.

resultsA total of 11 patients and 4 doctors were recruited into this study. For utility, CoSMoS was useful in providing close monitoring and continuity of care, supporting patients' decision making, ensuring adherence to reporting, and reducing healthcare workers' burden during the pandemic. In terms of usability, patients expressed that CoSMoS was convenient and easy to use. The use of the existing social media application for symptom monitoring was acceptable for the patients. The content in the Telegram bot was easy to understand, although revision was needed to keep the content updated. Doctors preferred to integrate CoSMoS into the electronic medical record.

conclusionCoSMoS is feasible and useful to patients and doctors in providing remote monitoring and teleconsultation during the COVID-19 pandemic. The utility and usability evaluation enables the refinement of CoSMoS to be a patient-centred monitoring system.

Indexed as

COVID-19PandemicsFeasibility StudiesHumansPrimary Health CareSARS-CoV-2COVID-19Digital healthMonitoring systemTelemonitoringUsabilityUtility

Identifiers

PMID34536808
PMCPMC8420087
OpenAlexW3198575346

What OpenQuestion holds

Textmetadata
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.