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Agile Development of a Smartphone App for Perinatal Monitoring in a Resource-Constrained Setting.
Boris Martinez1, Rachel Hall-Clifford2, Enma Coyote1
1Wuqu' Kawoq Maya Health Alliance, Santiago Sacatepéquez, Guatemala.
Journal of Health Informatics in Developing Countries
|September 23, 2017
Summary
This study developed a smartphone app to aid low-literacy midwives in Guatemala. The iterative design process improved data quality and user acceptance, with ongoing trials to assess clinical impact.
Area of Science:
- Global Health Technology
- Digital Health Interventions
- mHealth in Low-Resource Settings
Background:
- Smartphone technology offers a platform to empower healthcare workers with limited training and literacy, especially in low- and middle-income countries.
- Augmented audiovisual aids on smartphones can support illiterate or untrained users in healthcare settings.
- Perinatal surveillance in rural Guatemala faces challenges with lay midwives possessing low literacy and technology exposure.
Purpose of the Study:
- To describe the iterative design and refinement of a smartphone application prototype for perinatal surveillance.
- To address technical and cultural challenges in developing a robust in-field system for indigenous Maya lay midwives.
- To evaluate the system's feasibility, acceptance, utilization, and data quality in a real-world setting.
Main Methods:
- Agile development approach with remote and in-country collaboration with end-users (midwives).
- Two-phase prototype refinement with expanding end-user groups.
- Iterative review of data quality, user feedback, and analysis of system usage and support requirements.
Main Results:
- Identified and addressed weaknesses such as user error with hardware interfaces and poor data upload bandwidth.
- Developed safety nets to mitigate identified issues.
- The resultant system demonstrated high acceptance and utilization by end-users, with monthly increases in high-quality recordings.
Conclusions:
- Iterative design and user collaboration are crucial for developing effective mHealth tools in low-resource settings.
- The smartphone application shows promise for improving perinatal surveillance among low-literacy healthcare providers.
- Further analysis from an ongoing randomized controlled trial is pending to determine the system's impact on clinical outcomes.
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