Evidence map›Paper›PMID 39247097›Full record

ArticleDigital health

Feasibility and acceptability of a dengue self-monitoring system to reduce treatment delay in Malaysia: A single-centre pilot randomised controlled trial.

Wei Leik Ng, Chirk Jenn Ng, Chin Hai Teo, Tan Fong Ang, Yew Kong Lee, Haireen Abdul Hadi, De Min Chiang, Mohd Khairi Mohd Noor, Sharifah Faridah Syed Omar, Hang Cheng Ong and 5 more

Abstract read
In one paragraph

Article in Digital health. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

15 authors.

Wei Leik NgDepartment of Primary Care Medicine, Faculty of Medicine, University of Malaya, Kuala Lumpur, Wilayah Persekutuan, Malaysia.ORCID https://orcid.org/0000-0002-3074-9114
Chirk Jenn NgDepartment of Primary Care Medicine, Faculty of Medicine, University of Malaya, Kuala Lumpur, Wilayah Persekutuan, Malaysia.ORCID https://orcid.org/0000-0002-8320-1603
Chin Hai TeoDepartment of Primary Care Medicine, Faculty of Medicine, University of Malaya, Kuala Lumpur, Wilayah Persekutuan, Malaysia.
Tan Fong AngDepartment of Computer System and Technology, Faculty of Computer Science and Information Technology, University of Malaya, Kuala Lumpur, Wilayah Persekutuan, Malaysia.
Yew Kong LeeDepartment of Primary Care Medicine, Faculty of Medicine, University of Malaya, Kuala Lumpur, Wilayah Persekutuan, Malaysia.
Haireen Abdul HadiDepartment of Primary Care Medicine, Faculty of Medicine, University of Malaya, Kuala Lumpur, Wilayah Persekutuan, Malaysia.
De Min ChiangDepartment of Primary Care Medicine, Faculty of Medicine, University of Malaya, Kuala Lumpur, Wilayah Persekutuan, Malaysia.ORCID https://orcid.org/0009-0005-5184-112X
Mohd Khairi Mohd NoorShah Alam Section 7 Health Clinic, Ministry of Health Malaysia, Selangor, Malaysia.
Sharifah Faridah Syed OmarDepartment of Medicine, Faculty of Medicine, University of Malaya, Kuala Lumpur, Malaysia.
Hang Cheng OngDepartment of Medicine, Faculty of Medicine, University of Malaya, Kuala Lumpur, Malaysia.
Pui Li WongDepartment of Medicine, Faculty of Medicine, University of Malaya, Kuala Lumpur, Malaysia.
Anjanna KukrejaDepartment of Medicine, Faculty of Medicine, University of Malaya, Kuala Lumpur, Malaysia.
Thiam Kian ChiewDepartment of Software Engineering, Faculty of Computer Science and Information Technology, University of Malaya, Kuala Lumpur, Malaysia.
Sim Ying OngDepartment of Software Engineering, Faculty of Computer Science and Information Technology, University of Malaya, Kuala Lumpur, Malaysia.
Abdul Muhaimin Noor AzharDepartment of Emergency Medicine, Faculty of Medicine, University of Malaya, Kuala Lumpur, Malaysia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: Most dengue cases are managed in an outpatient setting, where patients are advised to return to the clinic daily for monitoring. Some patients can develop severe dengue at home and fail to recognise the deterioration. An application called DengueAid was designed as a self-monitoring tool for patients to reduce delay in seeking timely treatment. This study aimed to assess the feasibility of conducting a randomised controlled trial to determine the effectiveness of the DengueAid application. Methods: Dengue patients were recruited from a public health clinic in Malaysia and randomised to either use the DengueAid application plus standard care for dengue or receive only the standard care. The outcomes evaluated were the (1) feasibility of recruitment, data collection and follow-up procedures; (2) preliminary clinical outcome measures; and (3) acceptability of DengueAid. Qualitative interviews were conducted for participants in the intervention arm to assess the acceptability of DengueAid. Results: Thirty-seven patients were recruited with 97% ( Conclusion: The feasibility trial uncovered issues with recruitment, data collection and follow-up processes. Further research and modification to the application are needed to improve its utility and usability.

Indexed as

digital clinical trialsDigital healtheHealthremote patient monitoringself-monitoring

Identifiers

PMID39247097
PMCPMC11378219

What OpenQuestion holds

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LicenceCC BY-NC-ND
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Registered trials

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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.