Evidence map›Paper›PMID 42577636›Full record

ArticleFrontiers in digital health2026

Validation of a novel mHealth app to support foreign domestic workers in domiciliary eldercare.

Wei Lung Teo, Win Yee Cheong, Kim Wai Ang, Yi Ling Eileen Koh, Ngiap Chuan Tan

Abstract read
In one paragraph

Article in Frontiers in digital health, 2026. 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

5 authors.

Wei Lung TeoDuke NUS Medical School, Singapore, Singapore.
Win Yee CheongSingHealth Polyclinics, Singapore, Singapore.
Kim Wai AngSingHealth Polyclinics, Singapore, Singapore.
Yi Ling Eileen KohSingHealth Polyclinics, Singapore, Singapore.
Ngiap Chuan TanDuke NUS Medical School, Singapore, Singapore.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Many families in Singapore rely on Foreign Domestic Workers (FDWs) for domiciliary eldercare. However, FDWs often lack confidence and competence in providing basic healthcare to older adults, potentially compromising their health outcomes. This pilot randomized controlled trial (RCT) determined the feasibility, usability and effectiveness of E-CHEER, a prototype multilingual mobile-health application to upskill their domiciliary caregiving competency to senior care-recipients. Methods: Sixty FDW-employer dyads from two local public primary care clinics were recruited and randomized to intervention ( Results: Recruitment rate was 50.4% (60 dyads recruited from 119 approached). Among the 49 dyads who completed the study (retention 81.6%), almost all of them completed their assigned tasks. The intervention group showed significant intra-group improvements in BPM ( Discussion: Implementation of E-CHEER app was feasible based on the response and retention rates and was effective in improving FDWs' supervision of their care-recipients during ambulation, but its usability needs enhancement.

Indexed as

care-recipientdigital healthforeign domestic workergeriatricsinformal caregivingmobile-phone application

Identifiers

PMID42577636
PMCPMC13454892

What OpenQuestion holds

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LicenceCC BY
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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.