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Accepted for/Published in: JMIR Formative Research

Date Submitted: May 12, 2023
Open Peer Review Period: May 12, 2023 - Jul 7, 2023
Date Accepted: Aug 8, 2023
(closed for review but you can still tweet)

The final, peer-reviewed published version of this preprint can be found here:

Evaluating the Feasibility and Acceptance of a Mobile Clinical Decision Support System in a Resource-Limited Country: Exploratory Study

Ndlovu K, Stein N, Gaopelo R, Annechino M, Molwantwa M, Monkge M, Forrestel A, Williams VL

Evaluating the Feasibility and Acceptance of a Mobile Clinical Decision Support System in a Resource-Limited Country: Exploratory Study

JMIR Form Res 2023;7:e48946

DOI: 10.2196/48946

PMID: 37815861

PMCID: 10599284

Warning: This is an author submission that is not peer-reviewed or edited. Preprints - unless they show as "accepted" - should not be relied on to guide clinical practice or health-related behavior and should not be reported in news media as established information.

Evaluating Feasibility and Acceptance of a Mobile Clinical Decision Support System in Botswana

  • Kagiso Ndlovu; 
  • Nate Stein; 
  • Ruth Gaopelo; 
  • Mike Annechino; 
  • Mmoloki Molwantwa; 
  • Mosadikhumo Monkge; 
  • Amy Forrestel; 
  • Victoria L. Williams

ABSTRACT

Background:

The health workforce in Botswana consists mainly of medical officers and primary care nurses working in remote areas with limited training and insufficient reference materials to support diagnosis and management of diseases in dermatology and other subspecialties. This suggests a need for clinical decision support tools for these healthcare providers. VisualDx, is among well-established mobile clinical decision support systems offering a promising solution with documented benefits. However, implementation of eHealth systems is commonly associated with challenges. To inform sustainable implementation of VisualDx in Botswana, it is important to evaluate intended users’ perceptions of the technology.

Objective:

This study aims to determine healthcare workers acceptance of VisualDx to gauge feasibility of future adoption in Botswana and other similar healthcare systems.

Methods:

The study's design was informed by constructs of the technology acceptance model. A convergent mixed methods feasibility study involving surveys and semi-structured interviews was conducted. The Research Electronic Data Capture platform supported online data capture from March 2021 through August 2021. Twenty-eight healthcare workers participated in the study. Descriptive statistics were generated and analyzed using Excel and thematic analysis of interview transcripts performed using Delve.

Results:

All survey participants (n=28) expressed interest in using mHealth technology to support their work. Prior to VisualDx, participants referenced textbooks, journal articles, and Google search engines. Overall, participants' survey responses showed their confidence on VisualDx (94.7%); however, some barriers were noted. Frequently used VisualDx features included generating a differential diagnosis through manual entry of patient symptoms (48.5%) or using the artificial intelligence feature to analyze skin conditions (22.0%). Seventeen (60.7%) survey participants were also interviewed, and 4 thematic areas derived.

Conclusions:

Participants' responses indicated acceptance of VisualDx. The ability to access information quickly without internet connection is crucial in resource constrained environments. Select enhancements to VisualDx may further increase its feasibility in Botswana.


 Citation

Please cite as:

Ndlovu K, Stein N, Gaopelo R, Annechino M, Molwantwa M, Monkge M, Forrestel A, Williams VL

Evaluating the Feasibility and Acceptance of a Mobile Clinical Decision Support System in a Resource-Limited Country: Exploratory Study

JMIR Form Res 2023;7:e48946

DOI: 10.2196/48946

PMID: 37815861

PMCID: 10599284

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