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Developing Population Health Surveillance Using mHealth in Low-Resource Settings: Qualitative Assessment and Pilot Evaluation.

Natalie C BendaSakie ZawthaKyrie S OlsenMohit Manoj SharmaPhoe Be LinBeichotha ZawthaRuth Marie Masterson Creber
Published in: JMIR formative research (2022)
Previous studies have not focused heavily on the early stages of developing population health surveillance capacity in low- and middle-income countries. Findings related to key design considerations using a work systems lens may be informative to others developing technology-based solutions in extremely low-resource settings. Future work will involve collecting additional health-related data and further evaluating the quality of the data collected. Our team established an initial proof of concept for using an mHealth tool to collect census-related information in a low-resource, extremely rural, and low-literacy environment.
Keyphrases
  • public health
  • electronic health record
  • big data
  • palliative care
  • quality improvement
  • randomized controlled trial
  • machine learning
  • artificial intelligence
  • case control