» Articles » PMID: 36977176

Towards Inclusive Diagnostics for Neglected Tropical Diseases: User Experience of a New Digital Diagnostic Device in Low-Income Settings

Overview
Date 2023 Mar 28
PMID 36977176
Authors
Affiliations
Soon will be listed here.
Abstract

Designing new and inclusive diagnostic tools to detect Neglected Tropical Diseases (NTDs) to achieve rational disease control requires a co-design process where end-users' input is important. Failure to involve all potential end-users in new diagnostics for NTDs can result in low use and adoption failure, leading to persistent infection hot spots and ineffective disease control. There are different categories of potential end-users of new diagnostic tools for NTD control, and it is unclear if there are differences between the user efficiency, effectiveness, perception, and acceptability across these end-user categories. This study evaluated the usability, user perception, contextual factors affecting the user's experience, and acceptability of a new digital optical diagnostic device for NTDs across three types of potential end users. A total of 21 participants were tested. Laboratory scientists, technicians, and Community Health Extension Workers (CHEWs) in training achieved similar scores on the usability and user perception questionnaires with no statistically significant difference between end-user categories. All participants also have high scores for the user perception domains which strongly correlate with the acceptability of the AiDx NTDx Assist device. This study indicates that, by providing digital diagnostic tools in combination with minimal training and support, CHEWs undergoing training and, by extension, CHEWs post-training, can be involved in the diagnoses of NTDs, potentially enhancing a community's capabilities to diagnose, treat, and control NTDs.

Citing Articles

Developing inclusive digital health diagnostic for schistosomiasis: a need for guidance via target product profiles.

Onasanya A, Bengtson M, de Goeje L, van Engelen J, Diehl J, van Lieshout L Front Parasitol. 2025; 2():1255848.

PMID: 39816814 PMC: 11731648. DOI: 10.3389/fpara.2023.1255848.


Validation of artificial intelligence-based digital microscopy for automated detection of Schistosoma haematobium eggs in urine in Gabon.

Meulah B, Oyibo P, Hoekstra P, Nguema Moure P, Nzamba Maloum M, Laclong-Lontchi R PLoS Negl Trop Dis. 2024; 18(2):e0011967.

PMID: 38394298 PMC: 10917302. DOI: 10.1371/journal.pntd.0011967.

References
1.
George E . Occupational hazard for pathologists: microscope use and musculoskeletal disorders. Am J Clin Pathol. 2010; 133(4):543-8. DOI: 10.1309/AJCPUXDS5KJKRFVW. View

2.
Davies J, Abimiku A, Alobo M, Mullan Z, Nugent R, Schneidman M . Sustainable clinical laboratory capacity for health in Africa. Lancet Glob Health. 2017; 5(3):e248-e249. DOI: 10.1016/S2214-109X(17)30024-4. View

3.
Privitera M, Evans M, Southee D . Human factors in the design of medical devices - Approaches to meeting international standards in the European Union and USA. Appl Ergon. 2016; 59(Pt A):251-263. DOI: 10.1016/j.apergo.2016.08.034. View

4.
Cunningham F, Ranmuthugala G, Plumb J, Georgiou A, Westbrook J, Braithwaite J . Health professional networks as a vector for improving healthcare quality and safety: a systematic review. BMJ Qual Saf. 2011; 21(3):239-49. PMC: 3285140. DOI: 10.1136/bmjqs-2011-000187. View

5.
Sekhon M, Cartwright M, Francis J . Acceptability of healthcare interventions: an overview of reviews and development of a theoretical framework. BMC Health Serv Res. 2017; 17(1):88. PMC: 5267473. DOI: 10.1186/s12913-017-2031-8. View