CommCare for Nutrition

Malnutrition is disproportionately prevalent in poor, rural regions and developing countries. Nutrition efforts are often coordinated via large, integrated paper-based systems, and often lack real-time data.

A variety of nutrition programs exist that can be supported and augmented with mobile technology to reduce the issues resulting from the abovementioned limitations. Examples of these types of programs include Growth Monitoring and Promotion (GMP), Community-based Management of Acute Malnutrition (CMAM), and Positive Deviance/Hearth (PD/H).

Nutrition Programs and Organizations

Data contributing to programmatic decision-making is often out of date and resources are frequently misallocated. Coordination of records among health centers is challenging.

  • More accurate and complete data on malnutrition prevalence and treatment informs resource allocation and other programmatic decisions.
  • Real-time data collection enables programs to provide immediate feedback based on nutrition workers’ activities, including frequency of visits, speed of follow up, number cases identified, and the length of nutritional counseling sessions.
  • Individual record sharing capability enables multiple CMAM sites to track referrals specific children through to completion of a nutritional rehabilitation program.

Frontline Workers

Frontline workers must calculate anthropometric data in the field or return later for referral, which is time consuming and results in delays in services.

  • Complex anthropometric calculations (e.g. weight-for-age tables, breath rate counting, etc) are automatically carried out to simplify health workers’ workflow.
  • Basic data validation reduces common data errors (e.g. birthdates in the future, parameter errors).
  • Interactive multimedia empowers low-literate workers to deliver appropriate nutritional counseling.
  • Skip logic hides irrelevant questions and reduces frontline workers’ time spent on data entry.
  • Frontline workers input data as they visit beneficiaries, ensuring protocol adherence and data completeness at point of entry.


Patients sometimes do not have a record of health histories and have had varied exposure to behavior change messaging.

  • Registration enables beneficiaries to be easily tracked across multiple visits, facilitating a continuum of personalized care according to individuals’ specific anthropometric status (weight-for-age, growth faltering, and MUAC).
  • Automatic calculation of anthropometric status enables beneficiaries to be referred to appropriate nutritional facilities.
  • Multimedia-enabled behavior change messaging engages beneficiaries about positive health practices and notifies them of the availability of local nutritional programs.



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