Related Experiment Video
Updated: Feb 22, 2026

05:35
Author Spotlight: Developing a Point-of-Care Hemoglobin Estimation Method for Anemia Management
Published on: January 19, 2024
1.6K
Adapting and Validating Tools to Assess the Usability and Acceptability of mHealth Tools Among Community Health
Jonathan Nkurunziza1, Sarah Nuss2,3, Eve Hiyori Estrada4
1Partners In Health, Rwanda, Kigali, Rwanda.
JMIR Mhealth and Uhealth
|February 20, 2026
Summary
A new tool was developed and validated to assess mobile health (mHealth) app usability and acceptability for community health workers (CHWs) in Rwanda. This ensures mHealth tools are fit-for-purpose and can be scaled effectively in low-resource settings.
Area of Science:
- Global Health
- Digital Health
- Health Informatics
Background:
- Mobile health (mHealth) apps are crucial for supporting community health workers (CHWs) in low- and middle-income countries.
- Limited usability and acceptability hinder the scaled implementation of mHealth tools for CHWs.
- Systematic evaluation of mHealth tools using context-specific, validated instruments is lacking in sub-Saharan Africa.
Purpose of the Study:
- To adapt and validate existing mHealth usability and acceptability assessment tools for Rwandan CHWs.
- To ensure contextual appropriateness for CHWs involved in postoperative home follow-up for women after cesarean delivery.
- To create a tool for evaluating a novel CHW-led mHealth app in an implementation study.
Main Methods:
- Two established tools were adapted and supplemented with new items reflecting CHW app functions.
- Items were translated into Kinyarwanda and simplified for CHWs' educational levels.
- A three-stage validation process included content validity (experts), face validity (CHWs), and reliability (Cronbach's α).
Main Results:
- The final 22-item tool, the Community Health Worker mHealth Usability and Acceptability Assessment Tool, demonstrated strong validity and reliability.
- Content validity index exceeded 0.78 for 88% of items; face validity index was 0.991.
- High internal consistency was observed with Cronbach's α values of 0.86 (usability), 0.73 (acceptability), and 0.87 (new items).
Conclusions:
- A rigorously adapted and validated tool for assessing mHealth usability and acceptability among Rwandan CHWs has been developed.
- This tool can guide future mHealth intervention evaluations in similar low-resource settings.
- It serves as a model for localizing mHealth assessment tools to ensure effective implementation.

