Evidence map›Paper›PMID 36480252›Full record

ArticleJMIR research protocols2022

Assessing the Quality of the World Health Organization's Skin NTDs App as a Training Tool in Ghana and Kenya: Protocol for a Cross-sectional Study.

Asmae Frej, Mireia Cano, José A Ruiz-Postigo, Paul Macharia, Richard Odame Phillips, Yaw Ampem Amoako, Carme Carrion

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In one paragraph

Article in JMIR research protocols, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

  1. Article
  2. Independent assessment of the WHO Skin Neglected Tropical Diseases application for leprosy detection.Revista panamericana de salud publica = Pan American journal of public health · 2026
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  3. Review
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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

7 authors.

Asmae Frej *School of Health Sciences, Universitat de Girona, Girona, Spain.ORCID https://orcid.org/0000-0002-3749-2833
Mireia Cano *eHealth Lab Research Group, eHealth Center & School of Health Sciences, Universitat Oberta de Catalunya, Barcelona, Spain.ORCID https://orcid.org/0000-0002-8379-3231
José A Ruiz-PostigoPrevention, Treatment and Care Unit, Department of Control of Neglected Tropical Diseases, World Health Organization, Geneve, Switzerland.ORCID https://orcid.org/0000-0002-7165-8358
Paul MachariaConsulting in Health Informatics, Nairobi, Kenya.ORCID https://orcid.org/0000-0002-3564-8873
Richard Odame PhillipsKumasi Center for Collaborative Research in Tropical Medicine, Kumasi, Ghana.ORCID https://orcid.org/0000-0001-8992-0222
Yaw Ampem AmoakoKumasi Center for Collaborative Research in Tropical Medicine, Kumasi, Ghana.ORCID https://orcid.org/0000-0002-4642-789X
Carme CarrionSchool of Health Sciences, Universitat de Girona, Girona, Spain.ORCID https://orcid.org/0000-0003-1479-7551

Funding

World Health Organization 001
6 · The paper itself

Abstract

backgroundNeglected tropical diseases (NTDs) affect over 1.5 billion people worldwide, the majority of them belonging to impoverished populations in low- and middle-income countries (LMICs). Skin NTDs are a subgroup of NTDs that manifest primarily as skin lesions. The diagnosis and treatment of skin NTDs entail considerable resources, including trained personnel and financial backing. Many interventions are being launched and evaluated, particularly mobile health (mHealth) interventions, such as Skin NTDs App, a training and decision support tool offered by the World Health Organization (WHO) for frontline health workers (FHWs). As most digital health guidelines prioritize the thorough evaluation of mHealth interventions, it is essential to conduct a rigorous and validated assessment of Skin NTDs App.

objectiveWe aim to assess the quality of version 3 of Skin NTDs App, developed for the WHO by Universal Doctor and Netherlands Leprosy Relief as a training and decision support tool for FHWs.

methodsA cross-sectional study will be conducted in 2 LMICs: Ghana and Kenya. We will use snowball sampling recruitment to select 48 participants from the target population of all FHWs dealing with skin NTDs. The sample group of FHWs will be asked to download and use Skin NTDs App for at least 5 days before answering a web-based survey containing demographic variables and the user Mobile App Rating Scale (uMARS) questionnaire. A semistructured interview will then be conducted. Quantitative and qualitative data will be analyzed using SPSS (version 25; SPSS Inc), with statistical significance for all tests set at a 95% CI and P≤.05 considered significant. Data derived from the semistructured interviews will be clustered in themes and coded to enable analysis of various dimensions using ATLAS.ti.

resultsThe estimated completion date of the study is in the third quarter of 2022. The results are expected to show that Skin NTDs App version 3 has a good reported user experience, as assessed using the uMARS scale. No differences are expected to be found, except for those related to experience in dermatology and the use of mobile technology that could influence the final score. Semistructured interviews are expected to complete the results obtained on the uMARS scale. Moreover, they will be the previous step before assessing other aspects of the app, such as its efficiency and how it should be disseminated or implemented.

conclusionsThis study is the first step in a qualitative and quantitative assessment of Skin NTDs App as a training and support tool for FHWs diagnosing and managing skin NTDs. Our results will serve to improve future versions of the App. INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID): PRR1-10.2196/39393.

Indexed as

low- and middle-income countriesmHealthmobile healthneglected tropical diseasesskin neglected tropical diseasesSkin NTDs App

Identifiers

PMID36480252
PMCPMC9782345

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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.