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Tailoring Mobile Data Collection for Intervention Research in a Challenging Context: Development and Implementation

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The Malakit intervention successfully implemented an information system for malaria self-diagnosis and self-treatment in remote Amazonian gold mining areas. This system enabled effective data collection and monitoring despite significant logistical and environmental challenges.

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Area of Science:

  • Public Health
  • Health Informatics
  • Tropical Medicine

Background:

  • The Malakit intervention aimed to combat malaria in remote gold mining communities in French Guiana, Suriname, and Brazil.
  • It involved training health mediators (facilitators) to distribute self-diagnosis and self-treatment kits to gold miners.
  • The study period was from April 2018 to March 2020.

Purpose of the Study:

  • To detail the design, development, and implementation of an information system for monitoring and evaluating the Malakit intervention.
  • To address the challenges of creating a functional information system in a resource-limited, cross-border setting.

Main Methods:

  • The information system was built using a combination of open-source software, commercial services, and in-house tools.
  • Data collection was performed by facilitators using Android tablets with Open Data Kit (ODK) Collect.
  • A custom R package and web dashboard were developed for data retrieval, decryption, aggregation, monitoring, and cleaning.

Main Results:

  • Over 4863 form records were generated by nine facilitators between April 2018 and March 2020.
  • Facilitator feedback was crucial for system adaptation and improvement, leading to fewer technical issues.
  • Electronic data capture was efficient, with a median duration of 5 minutes, and data quality was satisfactory (3.03% correction rate).

Conclusions:

  • The information system's development was innovative, reflecting the Malakit intervention's ingenuity.
  • This experience demonstrates that high-quality data can be collected and complex health interventions evaluated even in challenging environments.
  • Adapting tools to field constraints and facilitator experience is key to success in remote health programs.