As low- and middle-income countries transition from paper to digital systems, family planning programs can benefit from unprecedented opportunities to improve services. Investments in digital health tools have expanded exponentially, but information on what works—and what does not— remains limited and scattered. As investments have increased, digital applications and data fragmentation have proliferated, but stakeholders are moving towards more coordinated efforts to scale digital health solutions, support countries’ digital health infrastructure, and share evidence-based learnings.
This Digital Health Compendium enables users to explore case studies across a range of digital health technologies used to enhance family planning programs mainly in sub-Saharan Africa, but also in other regions of the world. Digital health applications in family planning programs can be broadly classified as those affecting demand generation, service delivery, supply chain management, and the policy and enabling environment. In many low- and middle-income countries, digital health innovations were adopted earlier in other health sectors, including HIV/AIDS, maternal and child health, and noncommunicable disease prevention and response. As a result, much of the impact evidence is likewise restricted to those sectors. To advance greater adoption of digital technology in family planning programs, more data and information on the challenges, opportunities, scalability, and results are needed. This compendium aims to consolidate emerging information and data on applications of digital technology in family planning programs to inform adoption and scale-up of successful approaches.
All of the case studies were submitted by the implementing organizations and include a description of the digital health intervention, program context, and, if available, important findings and lessons learned through rigorous evaluations or program data. The compendium facilitates a quick search for case studies based on the target user for digital health intervention, building block for the digital health enabling environment, family planning program classification, and country location. The case studies give policy and program decisionmakers insights on real-world applications of digital health, promising practices, challenges, and other lessons that can be applied to current and future programs.
Target Users: WHO classifies digital health interventions based on four categories of intended users. Learn more about WHO’s Classification of Digital Health Interventions.
Enabling Environment Building Blocks: The digital health enabling environment consists of interrelated building blocks that support a robust national digital health ecosystem and the individual applications and systems that work within it. Learn more in the National eHealth Strategy Toolkit from WHO and the International Telecommunications Union.
Family Planning Program Classification: Digital health applications in family planning programs can be broadly classified as those affecting demand generation, service delivery, supply chain management, and the policy and enabling environment.
A Kenyan, Artificial Intelligence (AI) powered influencer marketing platform leveraging social media influencers to promote HIV testing, STI testing, and cervical cancer screening in Nairobi.
An innovative mobile and web application for accessing information on adolescent family planning and sexual and reproductive health.
An innovative platform by Reach A Hand Uganda (RAHU) leveraging an Unstructured Supplementary Service Data (USSD) code to allow users access to family planning and sexual reproductive health (SRH) information and services, referral, and linkage to health facilities.
A mobile health platform that connects refugees to life-saving preventative care including prenatal check-ups, childhood vaccinations, and other health services in Turkey.
A mobile application that supports access to information on family planning, sexual and reproductive health, and other public health areas.
Connecting ministries of health with frontline health workers via SMS