Evidence map›Paper›PMID 41050646›Full record

ArticleOxford open digital health2025

Experiences, challenges and lessons while implementing a clinical decision support system in Botswana.

Kagiso Ndlovu, Nate Stein, Ruth Gaopelo, Mosadikhumo Monkge, Laura Moen, Mmoloki C Molwantwa

Abstract readCase Reports
In one paragraph

Article in Oxford open digital health, 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

6 authors.

Kagiso NdlovuDepartment of Health Informatics, Sir Ketumile Masire Teaching Hospital, Unit 12, Sir Ketumile Masire Teaching Hospital, P.O Box 423 AAD, Poso House, 00267 Gaborone, Botswana.ORCID https://orcid.org/0000-0002-4175-8366
Nate SteinDepartment of Product Management, VisualDx, 20 Audubon St., Rochester, NY 14610, USA.
Ruth GaopeloDepartment of Computer Science, University of Botswana, Notwane Road, Plot 4775, Private Bag UB 0022, Gaborone, 00267, Botswana.
Mosadikhumo MonkgeDepartment of Paediatrics and Adolescent Health, Princess Marina Hospital, Plot 1836, North Ring Road, Extension 11, Private Bag BO 320, Gaborone, Botswana.
Laura MoenDepartment of Life Sciences, VisualDx, 1009 Wade Avenue, Raleigh, NC 27605, USA.
Mmoloki C MolwantwaDepartment of Medical Education, University of Botswana, Notwane Road, Plot 4775, Private Bag UB 0022, Gaborone, 00267, Botswana.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The use of information and communication technologies in healthcare has given rise to mobile health applications and services. For the developing world, mobile health has been hailed as being valuable for extending access to healthcare to underserved populations. More recently, mobile health applications support clinicians to quickly navigate decision making processes. An exemplar decision support system, VisualDx, was implemented in Botswana to provide reference materials at the point of care to support early diagnosis and management of complex dermatological conditions. This study shares experiences, challenges and lessons learnt while implementing VisualDx in Botswana. An explanatory sequential mixed methods feasibility study was conducted with 28 healthcare providers stationed at 20 clinics and hospital sites across Botswana. Nine recorded training sessions were conducted via Zoom and participants thereafter interacted with VisualDx on varying use cases. Quantitative and qualitative data were collected via surveys and a semi-structured interview per participant. Standard VisualDx App usage data was also collected. Descriptive statistics were generated and analyzed. Thematic analysis of interview transcripts was performed using Delve. Experiences, challenges and lessons learned throughout VisualDx implementation in Botswana cut across; Infrastructure, Data protection compliance, Image data quality, Continuous training support, artificial intelligence regulation, Participants' retention and Sustainable digital health funding. The implementation of VisualDx in Botswana illustrates both the value and the challenges of cross-sector and cross-border collaboration in driving adoption of eHealth tools. The lessons learned may inform future strategy for implementation of other eHealth platforms in Botswana and other similar developing countries.

Indexed as

Botswanaclinical decision support systemdermatologymHealthVisualDx

Identifiers

PMID41050646
PMCPMC12492074

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.