Cargando…

Adoption of Electronic Medical Records for Chronic Disease Care in Kenyan Refugee Camps: Quantitative and Qualitative Prospective Evaluation

BACKGROUND: Noncommunicable disease (NCD) prevention and control in humanitarian emergencies is a well-recognized need, but there is little evidence to guide responses, leading to varying care delivery. The Sana.NCD mobile health (mHealth) app, initially developed in Lebanon, is the only known mHeal...

Descripción completa

Detalles Bibliográficos
Autores principales: Lyles, Emily, Paik, Kenneth, Kiogora, John, Hussein, Husna, Cordero Morales, Alejandra, Kiapi, Lilian, Doocy, Shannon
Formato: Online Artículo Texto
Lenguaje:English
Publicado: JMIR Publications Inc 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10578110/
https://www.ncbi.nlm.nih.gov/pubmed/37800885
http://dx.doi.org/10.2196/43878
_version_ 1785121450461495296
author Lyles, Emily
Paik, Kenneth
Kiogora, John
Hussein, Husna
Cordero Morales, Alejandra
Kiapi, Lilian
Doocy, Shannon
author_facet Lyles, Emily
Paik, Kenneth
Kiogora, John
Hussein, Husna
Cordero Morales, Alejandra
Kiapi, Lilian
Doocy, Shannon
author_sort Lyles, Emily
collection PubMed
description BACKGROUND: Noncommunicable disease (NCD) prevention and control in humanitarian emergencies is a well-recognized need, but there is little evidence to guide responses, leading to varying care delivery. The Sana.NCD mobile health (mHealth) app, initially developed in Lebanon, is the only known mHealth tool for NCD management designed to increase care quality and coverage for providers in humanitarian settings. OBJECTIVE: We evaluated a specialized mHealth app consisting of an abbreviated medical record for patients with hypertension or diabetes, adapted for a Kenyan refugee camp setting. METHODS: We tested an adapted version of the Sana.NCD app (diabetes and hypertension medical record) in an 11-month (May 2021 to March 2022) quantitative and qualitative prospective evaluation in Kenya’s Hagadera refugee camp. Leveraging the rollout of a general electronic medical record (EMR) system in the Kakuma refugee camp, we compared a specialized NCD management app to a general EMR. We analyzed secondary data collected from the Sana.NCD app for 1539 patients, EMR data for 68 patients with NCD from Kakuma’s surgical and outpatient departments, and key informant interviews that focused on Hagadera clinic staff perceptions of the Sana.NCD app. RESULTS: The Hagadera NCD clinic reported 18,801 consultations, 42.1% (n=7918) of which were reported in the NCD app. The Kakuma EMR reported 350,776 visits, of which 9385 (2.7%) were for NCDs (n=4264, 1.2% hypertension; n=2415, 0.7% diabetes). The completeness of reporting was used as a quality-of-care metric. Age, sex, prescribed medicines, random blood sugar, and smoking status were consistently reported in both the NCD app (>98%) and EMR (100%), whereas comorbidities, complications, hemoglobin A(1c), and diet were rarely reported in either platform (≤7% NCD app; 0% EMR). The number of visits, BMI, physical activity, and next visit were frequently reported in the NCD app (≥99%) but not in the EMR (≤15%). In the NCD app, the completeness of reporting was high across the implementation period, with little meaningful change. Although not significantly changed during the study, elevated blood sugar (P=.82) and blood pressure (P=.12) were reported for sizable proportions of patients in the first (302/481, 62.8%, and 599/1094, 54.8%, respectively) and last (374/602, 62.1%, and 720/1395, 51.6%, respectively) study quarters. Providers were satisfied with the app, as it standardized patient information and made consultations easier. Providers also indicated that access to historic patient information was easier, benefiting NCD control and follow-up. CONCLUSIONS: A specialized record for NCDs outperformed a more general record intended for use in all patients in terms of reporting completeness. This CommCare-based NCD app can easily be rolled out in similar humanitarian settings with minimal adaptation. However, the adaptation of technologies to the local context and use case is critical for uptake and ensuring that workflows and time burden do not outweigh the benefits of EMRs.
format Online
Article
Text
id pubmed-10578110
institution National Center for Biotechnology Information
language English
publishDate 2023
publisher JMIR Publications Inc
record_format MEDLINE/PubMed
spelling pubmed-105781102023-10-17 Adoption of Electronic Medical Records for Chronic Disease Care in Kenyan Refugee Camps: Quantitative and Qualitative Prospective Evaluation Lyles, Emily Paik, Kenneth Kiogora, John Hussein, Husna Cordero Morales, Alejandra Kiapi, Lilian Doocy, Shannon JMIR Mhealth Uhealth Original Paper BACKGROUND: Noncommunicable disease (NCD) prevention and control in humanitarian emergencies is a well-recognized need, but there is little evidence to guide responses, leading to varying care delivery. The Sana.NCD mobile health (mHealth) app, initially developed in Lebanon, is the only known mHealth tool for NCD management designed to increase care quality and coverage for providers in humanitarian settings. OBJECTIVE: We evaluated a specialized mHealth app consisting of an abbreviated medical record for patients with hypertension or diabetes, adapted for a Kenyan refugee camp setting. METHODS: We tested an adapted version of the Sana.NCD app (diabetes and hypertension medical record) in an 11-month (May 2021 to March 2022) quantitative and qualitative prospective evaluation in Kenya’s Hagadera refugee camp. Leveraging the rollout of a general electronic medical record (EMR) system in the Kakuma refugee camp, we compared a specialized NCD management app to a general EMR. We analyzed secondary data collected from the Sana.NCD app for 1539 patients, EMR data for 68 patients with NCD from Kakuma’s surgical and outpatient departments, and key informant interviews that focused on Hagadera clinic staff perceptions of the Sana.NCD app. RESULTS: The Hagadera NCD clinic reported 18,801 consultations, 42.1% (n=7918) of which were reported in the NCD app. The Kakuma EMR reported 350,776 visits, of which 9385 (2.7%) were for NCDs (n=4264, 1.2% hypertension; n=2415, 0.7% diabetes). The completeness of reporting was used as a quality-of-care metric. Age, sex, prescribed medicines, random blood sugar, and smoking status were consistently reported in both the NCD app (>98%) and EMR (100%), whereas comorbidities, complications, hemoglobin A(1c), and diet were rarely reported in either platform (≤7% NCD app; 0% EMR). The number of visits, BMI, physical activity, and next visit were frequently reported in the NCD app (≥99%) but not in the EMR (≤15%). In the NCD app, the completeness of reporting was high across the implementation period, with little meaningful change. Although not significantly changed during the study, elevated blood sugar (P=.82) and blood pressure (P=.12) were reported for sizable proportions of patients in the first (302/481, 62.8%, and 599/1094, 54.8%, respectively) and last (374/602, 62.1%, and 720/1395, 51.6%, respectively) study quarters. Providers were satisfied with the app, as it standardized patient information and made consultations easier. Providers also indicated that access to historic patient information was easier, benefiting NCD control and follow-up. CONCLUSIONS: A specialized record for NCDs outperformed a more general record intended for use in all patients in terms of reporting completeness. This CommCare-based NCD app can easily be rolled out in similar humanitarian settings with minimal adaptation. However, the adaptation of technologies to the local context and use case is critical for uptake and ensuring that workflows and time burden do not outweigh the benefits of EMRs. JMIR Publications Inc 2023-10-05 /pmc/articles/PMC10578110/ /pubmed/37800885 http://dx.doi.org/10.2196/43878 Text en © Emily Lyles, Kenneth Paik, John Kiogora, Husna Hussein, Alejandra Cordero Morales, Lilian Kiapi, Shannon Doocy. Originally published in JMIR mHealth and uHealth (https://mhealth.jmir.org), 5.10.2023. 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 mHealth and uHealth, is properly cited. The complete bibliographic information, a link to the original publication on https://mhealth.jmir.org/, as well as this copyright and license information must be included.
spellingShingle Original Paper
Lyles, Emily
Paik, Kenneth
Kiogora, John
Hussein, Husna
Cordero Morales, Alejandra
Kiapi, Lilian
Doocy, Shannon
Adoption of Electronic Medical Records for Chronic Disease Care in Kenyan Refugee Camps: Quantitative and Qualitative Prospective Evaluation
title Adoption of Electronic Medical Records for Chronic Disease Care in Kenyan Refugee Camps: Quantitative and Qualitative Prospective Evaluation
title_full Adoption of Electronic Medical Records for Chronic Disease Care in Kenyan Refugee Camps: Quantitative and Qualitative Prospective Evaluation
title_fullStr Adoption of Electronic Medical Records for Chronic Disease Care in Kenyan Refugee Camps: Quantitative and Qualitative Prospective Evaluation
title_full_unstemmed Adoption of Electronic Medical Records for Chronic Disease Care in Kenyan Refugee Camps: Quantitative and Qualitative Prospective Evaluation
title_short Adoption of Electronic Medical Records for Chronic Disease Care in Kenyan Refugee Camps: Quantitative and Qualitative Prospective Evaluation
title_sort adoption of electronic medical records for chronic disease care in kenyan refugee camps: quantitative and qualitative prospective evaluation
topic Original Paper
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10578110/
https://www.ncbi.nlm.nih.gov/pubmed/37800885
http://dx.doi.org/10.2196/43878
work_keys_str_mv AT lylesemily adoptionofelectronicmedicalrecordsforchronicdiseasecareinkenyanrefugeecampsquantitativeandqualitativeprospectiveevaluation
AT paikkenneth adoptionofelectronicmedicalrecordsforchronicdiseasecareinkenyanrefugeecampsquantitativeandqualitativeprospectiveevaluation
AT kiogorajohn adoptionofelectronicmedicalrecordsforchronicdiseasecareinkenyanrefugeecampsquantitativeandqualitativeprospectiveevaluation
AT husseinhusna adoptionofelectronicmedicalrecordsforchronicdiseasecareinkenyanrefugeecampsquantitativeandqualitativeprospectiveevaluation
AT corderomoralesalejandra adoptionofelectronicmedicalrecordsforchronicdiseasecareinkenyanrefugeecampsquantitativeandqualitativeprospectiveevaluation
AT kiapililian adoptionofelectronicmedicalrecordsforchronicdiseasecareinkenyanrefugeecampsquantitativeandqualitativeprospectiveevaluation
AT doocyshannon adoptionofelectronicmedicalrecordsforchronicdiseasecareinkenyanrefugeecampsquantitativeandqualitativeprospectiveevaluation