Evidence map›Paper›PMID 40625842›Full record

ArticleGlobal mental health (Cambridge, England)2025

Applying user-centered design to enhance the usability and acceptability of an mHealth supervision tool for community health workers delivering an evidence-based intervention in rural Sierra Leone.

Cara M Antonaccio, Justin Preston, Chokdee Rutirasiri, Sunand Bhattacharya, Musu Moigua, Mahmoud Feika, Alethea Desrosiers

Abstract read
In one paragraph

Article in Global mental health (Cambridge, England), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

7 authors.

Cara M AntonaccioAlpert Medical School, Brown University, Providence, RI, USA.ORCID https://orcid.org/0000-0003-0248-8735
Justin PrestonAlpert Medical School, Brown University, Providence, RI, USA.
Chokdee RutirasiriSchool of Social Work, Boston College, Chestnut Hill, MA, USA.
Sunand BhattacharyaSchool of Social Work, Boston College, Chestnut Hill, MA, USA.
Musu MoiguaCaritas Freetown, Freetown, Sierra Leone.
Mahmoud FeikaCaritas Freetown, Freetown, Sierra Leone.
Alethea DesrosiersAlpert Medical School, Brown University, Providence, RI, USA.ORCID https://orcid.org/0000-0003-2392-0371

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Mobile health (mHealth) platforms have the potential to increase access to evidence-based interventions in low-resource settings. This study applied a user-centered design (UCD) approach to develop and evaluate an mHealth supervision tool for community health workers (CHWs) delivering an early childhood development intervention in rural Sierra Leone. We engaged CHWs (N=8) and supervisors (N=4) in focus group discussions, user testing sessions and exit interviews to gather feedback on the mHealth supervision tool's usability and acceptability. Mixed methods findings indicated that the tool was generally well-received and perceived as easy to use, but there were also challenges related to connectivity, phone charging and the need for more comprehensive training and support. Overall, this study suggests that a UCD approach can promote the usability of mHealth tools to support CHWs in delivering evidence-based interventions in low-resource settings, highlighting the importance of addressing contextual challenges and providing adequate training and support to ensure the effectiveness and sustainability of such tools.

Indexed as

community-based interventionearly childhood developmentglobal mental healthmHealthuser-centered design

Identifiers

PMID40625842
PMCPMC12231310

What OpenQuestion holds

Textmetadata
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.