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Accepted for/Published in: JMIR Dermatology

Date Submitted: Feb 16, 2023
Date Accepted: May 8, 2023
Date Submitted to PubMed: Aug 26, 2023

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

An mHealth App (eSkinHealth) for Detecting and Managing Skin Diseases in Resource-Limited Settings: Mixed Methods Pilot Study

Yotsu RR, Almamy D, Vagamon B, Ugai K, Itoh S, Koffi DY, Kaloga M, Dizoé LAS, Kouadio K, Aka N, Yeboue LKG, Yao KA, Blanton RE

An mHealth App (eSkinHealth) for Detecting and Managing Skin Diseases in Resource-Limited Settings: Mixed Methods Pilot Study

JMIR Dermatol 2023;6:e46295

DOI: 10.2196/46295

PMID: 37632977

PMCID: 10335127

A Mobile Health App (eSkinHealth) for Detecting and Managing Skin Diseases in Resource-Limited Settings: a Mixed Methods Pilot Study

  • Rie R. Yotsu; 
  • Diabate Almamy; 
  • Bamba Vagamon; 
  • Kazuko Ugai; 
  • Sakiko Itoh; 
  • Didier Y. Koffi; 
  • Mamadou Kaloga; 
  • Ligué Agui Sylvestre Dizoé; 
  • Kouamé Kouadio; 
  • N’guetta Aka; 
  • Luc Kowaci Gontran Yeboue; 
  • Koffi Aubin Yao; 
  • Ronald E. Blanton

ABSTRACT

Background:

The prevalence of skin diseases is extremely high in sub-Saharan Africa. Among these are skin neglected tropical diseases (skin NTDs) that could lead to lifelong disabilities and deformities if not diagnosed and treated early. To achieve early detection and early treatment of these skin diseases, we developed a mobile health (mHealth) app, eSkinHealth.

Objective:

We evaluated the usability and effectiveness of our eSkinHealth app in the detection and effective management of skin diseases in rural Côte d’Ivoire.

Methods:

A 2-arm trial with local healthcare providers and patients with skin NTDs was implemented over a 3-month follow-up period. The healthcare providers were assigned to an intervention group receiving the eSkinHealth app to be used in their daily practices or a control group with usual care. A total of 4 nurses and 8 community healthcare workers (CHWs) were selected to participate in the study for each arm. Training was provided on the use and implementation of the app and the diagnostic pipeline to the intervention group only, while both groups received training on skin diseases. For usability study, we evaluated the eSkinHealth app with validated questionnaires and in-depth interviews. For effectiveness study, our primary outcome was to evaluate the early detection and effective management of our targeted skin NTDs (Buruli ulcer, leprosy, lymphatic filariasis, scabies, and yaws) and other skin diseases using the eSkinHealth app by the number of cases reported and managed. Procedures of our methods were reviewed and approved by the IRB of the Ministry of Health, Côte d’Ivoire and by Tulane University.

Results:

The mean age of our participants (providers) was 40.5 and 42.5 for intervention and control arms, respectively, and all were male (n=24). The System Usability Score (SUS) was applied to 12 users of the eSkinHealth app in the intervention arm. The average scores at baseline, the midpoint (6 weeks), and the end of the study (12 weeks) were 72.3 (SD 11.5), 72.3 (SD 12.4), and 86.3 (SD 10.8), respectively. All participants interviewed, including four dermatologists and program managers in addition to our participants, were satisfied with the app. Especially, CHWs felt empowered by equipped with the tool. Seventy-nine cases of skin NTDs were reported in the intervention arm as compared to 17 cases in the control arm (p value=0.0019).

Conclusions:

Our eSkinHealth is a field-adapted platform that could both provide direct diagnostic and management assistance to health workers in remote settings. The study provided evidence for the usability and the effectiveness of the eSkinHealth app to improve the early detection and case management of skin NTDs and other skin diseases in Côte d’Ivoire and, furthermore, are expected to contribute to knowledge on mobile health approaches in the control of skin NTDs. Clinical Trial: ClinicalTrials.gov NCT05300399; https://clinicaltrials.gov/ct2/show/NCT05300399.


 Citation

Please cite as:

Yotsu RR, Almamy D, Vagamon B, Ugai K, Itoh S, Koffi DY, Kaloga M, Dizoé LAS, Kouadio K, Aka N, Yeboue LKG, Yao KA, Blanton RE

An mHealth App (eSkinHealth) for Detecting and Managing Skin Diseases in Resource-Limited Settings: Mixed Methods Pilot Study

JMIR Dermatol 2023;6:e46295

DOI: 10.2196/46295

PMID: 37632977

PMCID: 10335127

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