Cargando…
An mHealth App (eSkinHealth) for Detecting and Managing Skin Diseases in Resource-Limited Settings: Mixed Methods Pilot Study
BACKGROUND: In sub-Saharan Africa, the disease burden from skin diseases, including skin-related neglected tropical diseases (skin NTDs), is extremely high. These diseases often are overlooked due to limited access to health care stemming from, for example, remote geographical locations and a lack o...
Autores principales: | , , , , , , , , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
JMIR Publications
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10335127/ https://www.ncbi.nlm.nih.gov/pubmed/37632977 http://dx.doi.org/10.2196/46295 |
_version_ | 1785070964242907136 |
---|---|
author | Yotsu, Rie R Almamy, Diabate Vagamon, Bamba Ugai, Kazuko Itoh, Sakiko Koffi, Yao Didier Kaloga, Mamadou Dizoé, Ligué Agui Sylvestre Kouadio, Kouamé Aka, N’guetta Yeboue, Luc Kowaci Gontran Yao, Koffi Aubin Blanton, Ronald E |
author_facet | Yotsu, Rie R Almamy, Diabate Vagamon, Bamba Ugai, Kazuko Itoh, Sakiko Koffi, Yao Didier Kaloga, Mamadou Dizoé, Ligué Agui Sylvestre Kouadio, Kouamé Aka, N’guetta Yeboue, Luc Kowaci Gontran Yao, Koffi Aubin Blanton, Ronald E |
author_sort | Yotsu, Rie R |
collection | PubMed |
description | BACKGROUND: In sub-Saharan Africa, the disease burden from skin diseases, including skin-related neglected tropical diseases (skin NTDs), is extremely high. These diseases often are overlooked due to limited access to health care stemming from, for example, remote geographical locations and a lack of experts. To address these gaps, we developed a mobile health app, eSkinHealth, which is a field-adapted platform to serve as a portable electronic patient chart and for teledermatology. OBJECTIVE: The purpose of the study is to evaluate the usability and effectiveness of the app in rural Côte d’Ivoire for diagnosing and managing skin NTDs and other skin diseases. METHODS: A 2-arm trial with local health care providers and patients with skin diseases was implemented over a 3-month period. The providers were assigned to an intervention receiving the eSkinHealth app or control with usual care. Four nurses and 8 community health care workers participated in each arm. The training was provided on the use of the app to the intervention arm only, while both arms were trained on skin diseases. For the usability study, we evaluated our approach with the System Usability Scale (SUS) and in-depth interviews. For the effectiveness study, our primary outcome was to evaluate the detection and management of 5 skin NTDs as our targeted diseases, namely, Buruli ulcer, leprosy, lymphatic filariasis, scabies, and yaws, using the eSkinHealth app. Procedures of our methods were reviewed and approved by the institutional review board of the Ministry of Health and by Tulane University. RESULTS: The mean age of our participants (providers) was 40.5 and 42.5 years for the intervention and control arms, respectively, and all were male (n=24). The average SUS scores taken from the intervention arm at baseline, the midpoint (6 weeks), and the end of 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 4 dermatologists and program managers, were satisfied with the app. Especially community health care workers felt empowered by being equipped with the tool. A total of 79 cases of skin NTDs were reported in the intervention arm as compared to 17 cases in the control arm (P=.002). Besides the skin NTDs, more skin diseases and conditions were reported from the control than from the intervention arm (P<.001). However, 100 cases (66%) were not given any particular diagnosis in the control arm and were documented only as a “dermatosis.” In the intervention arm, 151 cases (72.9%) were diagnosed within the eSkinHealth platform, and the remaining were diagnosed on-site by dermatologists. CONCLUSIONS: The study provided evidence for the usability and effectiveness of the eSkinHealth app embedded into our surveillance approach to improve the detection and management of skin NTDs and other skin diseases in Côte d’Ivoire and, furthermore, is expected to contribute to knowledge on mobile health approaches in the control of skin diseases in resource-limited settings. TRIAL REGISTRATION: ClinicalTrials.gov NCT05300399; https://clinicaltrials.gov/ct2/show/NCT05300399 |
format | Online Article Text |
id | pubmed-10335127 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | JMIR Publications |
record_format | MEDLINE/PubMed |
spelling | pubmed-103351272023-07-18 An mHealth App (eSkinHealth) for Detecting and Managing Skin Diseases in Resource-Limited Settings: Mixed Methods Pilot Study Yotsu, Rie R Almamy, Diabate Vagamon, Bamba Ugai, Kazuko Itoh, Sakiko Koffi, Yao Didier Kaloga, Mamadou Dizoé, Ligué Agui Sylvestre Kouadio, Kouamé Aka, N’guetta Yeboue, Luc Kowaci Gontran Yao, Koffi Aubin Blanton, Ronald E JMIR Dermatol Original Paper BACKGROUND: In sub-Saharan Africa, the disease burden from skin diseases, including skin-related neglected tropical diseases (skin NTDs), is extremely high. These diseases often are overlooked due to limited access to health care stemming from, for example, remote geographical locations and a lack of experts. To address these gaps, we developed a mobile health app, eSkinHealth, which is a field-adapted platform to serve as a portable electronic patient chart and for teledermatology. OBJECTIVE: The purpose of the study is to evaluate the usability and effectiveness of the app in rural Côte d’Ivoire for diagnosing and managing skin NTDs and other skin diseases. METHODS: A 2-arm trial with local health care providers and patients with skin diseases was implemented over a 3-month period. The providers were assigned to an intervention receiving the eSkinHealth app or control with usual care. Four nurses and 8 community health care workers participated in each arm. The training was provided on the use of the app to the intervention arm only, while both arms were trained on skin diseases. For the usability study, we evaluated our approach with the System Usability Scale (SUS) and in-depth interviews. For the effectiveness study, our primary outcome was to evaluate the detection and management of 5 skin NTDs as our targeted diseases, namely, Buruli ulcer, leprosy, lymphatic filariasis, scabies, and yaws, using the eSkinHealth app. Procedures of our methods were reviewed and approved by the institutional review board of the Ministry of Health and by Tulane University. RESULTS: The mean age of our participants (providers) was 40.5 and 42.5 years for the intervention and control arms, respectively, and all were male (n=24). The average SUS scores taken from the intervention arm at baseline, the midpoint (6 weeks), and the end of 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 4 dermatologists and program managers, were satisfied with the app. Especially community health care workers felt empowered by being equipped with the tool. A total of 79 cases of skin NTDs were reported in the intervention arm as compared to 17 cases in the control arm (P=.002). Besides the skin NTDs, more skin diseases and conditions were reported from the control than from the intervention arm (P<.001). However, 100 cases (66%) were not given any particular diagnosis in the control arm and were documented only as a “dermatosis.” In the intervention arm, 151 cases (72.9%) were diagnosed within the eSkinHealth platform, and the remaining were diagnosed on-site by dermatologists. CONCLUSIONS: The study provided evidence for the usability and effectiveness of the eSkinHealth app embedded into our surveillance approach to improve the detection and management of skin NTDs and other skin diseases in Côte d’Ivoire and, furthermore, is expected to contribute to knowledge on mobile health approaches in the control of skin diseases in resource-limited settings. TRIAL REGISTRATION: ClinicalTrials.gov NCT05300399; https://clinicaltrials.gov/ct2/show/NCT05300399 JMIR Publications 2023-06-14 /pmc/articles/PMC10335127/ /pubmed/37632977 http://dx.doi.org/10.2196/46295 Text en ©Rie R Yotsu, Diabate Almamy, Bamba Vagamon, Kazuko Ugai, Sakiko Itoh, Yao Didier Koffi, Mamadou Kaloga, Ligué Agui Sylvestre Dizoé, Kouamé Kouadio, N’guetta Aka, Luc Kowaci Gontran Yeboue, Koffi Aubin Yao, Ronald E Blanton. Originally published in JMIR Dermatology (http://derma.jmir.org), 14.06.2023. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work, first published in JMIR Dermatology, is properly cited. The complete bibliographic information, a link to the original publication on http://derma.jmir.org, as well as this copyright and license information must be included. |
spellingShingle | Original Paper Yotsu, Rie R Almamy, Diabate Vagamon, Bamba Ugai, Kazuko Itoh, Sakiko Koffi, Yao Didier Kaloga, Mamadou Dizoé, Ligué Agui Sylvestre Kouadio, Kouamé Aka, N’guetta Yeboue, Luc Kowaci Gontran Yao, Koffi Aubin Blanton, Ronald E An mHealth App (eSkinHealth) for Detecting and Managing Skin Diseases in Resource-Limited Settings: Mixed Methods Pilot Study |
title | An mHealth App (eSkinHealth) for Detecting and Managing Skin Diseases in Resource-Limited Settings: Mixed Methods Pilot Study |
title_full | An mHealth App (eSkinHealth) for Detecting and Managing Skin Diseases in Resource-Limited Settings: Mixed Methods Pilot Study |
title_fullStr | An mHealth App (eSkinHealth) for Detecting and Managing Skin Diseases in Resource-Limited Settings: Mixed Methods Pilot Study |
title_full_unstemmed | An mHealth App (eSkinHealth) for Detecting and Managing Skin Diseases in Resource-Limited Settings: Mixed Methods Pilot Study |
title_short | An mHealth App (eSkinHealth) for Detecting and Managing Skin Diseases in Resource-Limited Settings: Mixed Methods Pilot Study |
title_sort | mhealth app (eskinhealth) for detecting and managing skin diseases in resource-limited settings: mixed methods pilot study |
topic | Original Paper |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10335127/ https://www.ncbi.nlm.nih.gov/pubmed/37632977 http://dx.doi.org/10.2196/46295 |
work_keys_str_mv | AT yotsurier anmhealthappeskinhealthfordetectingandmanagingskindiseasesinresourcelimitedsettingsmixedmethodspilotstudy AT almamydiabate anmhealthappeskinhealthfordetectingandmanagingskindiseasesinresourcelimitedsettingsmixedmethodspilotstudy AT vagamonbamba anmhealthappeskinhealthfordetectingandmanagingskindiseasesinresourcelimitedsettingsmixedmethodspilotstudy AT ugaikazuko anmhealthappeskinhealthfordetectingandmanagingskindiseasesinresourcelimitedsettingsmixedmethodspilotstudy AT itohsakiko anmhealthappeskinhealthfordetectingandmanagingskindiseasesinresourcelimitedsettingsmixedmethodspilotstudy AT koffiyaodidier anmhealthappeskinhealthfordetectingandmanagingskindiseasesinresourcelimitedsettingsmixedmethodspilotstudy AT kalogamamadou anmhealthappeskinhealthfordetectingandmanagingskindiseasesinresourcelimitedsettingsmixedmethodspilotstudy AT dizoeligueaguisylvestre anmhealthappeskinhealthfordetectingandmanagingskindiseasesinresourcelimitedsettingsmixedmethodspilotstudy AT kouadiokouame anmhealthappeskinhealthfordetectingandmanagingskindiseasesinresourcelimitedsettingsmixedmethodspilotstudy AT akanguetta anmhealthappeskinhealthfordetectingandmanagingskindiseasesinresourcelimitedsettingsmixedmethodspilotstudy AT yeboueluckowacigontran anmhealthappeskinhealthfordetectingandmanagingskindiseasesinresourcelimitedsettingsmixedmethodspilotstudy AT yaokoffiaubin anmhealthappeskinhealthfordetectingandmanagingskindiseasesinresourcelimitedsettingsmixedmethodspilotstudy AT blantonronalde anmhealthappeskinhealthfordetectingandmanagingskindiseasesinresourcelimitedsettingsmixedmethodspilotstudy AT yotsurier mhealthappeskinhealthfordetectingandmanagingskindiseasesinresourcelimitedsettingsmixedmethodspilotstudy AT almamydiabate mhealthappeskinhealthfordetectingandmanagingskindiseasesinresourcelimitedsettingsmixedmethodspilotstudy AT vagamonbamba mhealthappeskinhealthfordetectingandmanagingskindiseasesinresourcelimitedsettingsmixedmethodspilotstudy AT ugaikazuko mhealthappeskinhealthfordetectingandmanagingskindiseasesinresourcelimitedsettingsmixedmethodspilotstudy AT itohsakiko mhealthappeskinhealthfordetectingandmanagingskindiseasesinresourcelimitedsettingsmixedmethodspilotstudy AT koffiyaodidier mhealthappeskinhealthfordetectingandmanagingskindiseasesinresourcelimitedsettingsmixedmethodspilotstudy AT kalogamamadou mhealthappeskinhealthfordetectingandmanagingskindiseasesinresourcelimitedsettingsmixedmethodspilotstudy AT dizoeligueaguisylvestre mhealthappeskinhealthfordetectingandmanagingskindiseasesinresourcelimitedsettingsmixedmethodspilotstudy AT kouadiokouame mhealthappeskinhealthfordetectingandmanagingskindiseasesinresourcelimitedsettingsmixedmethodspilotstudy AT akanguetta mhealthappeskinhealthfordetectingandmanagingskindiseasesinresourcelimitedsettingsmixedmethodspilotstudy AT yeboueluckowacigontran mhealthappeskinhealthfordetectingandmanagingskindiseasesinresourcelimitedsettingsmixedmethodspilotstudy AT yaokoffiaubin mhealthappeskinhealthfordetectingandmanagingskindiseasesinresourcelimitedsettingsmixedmethodspilotstudy AT blantonronalde mhealthappeskinhealthfordetectingandmanagingskindiseasesinresourcelimitedsettingsmixedmethodspilotstudy |