Welcome to the USAID-funded Health Policy Plus (HP+) project website.
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Quality family planning information and services have not yet reached those with the greatest need. To support progress toward equitable healthcare, HP+ developed an approach for diagnosing inequity in family planning programs. This approach identifies inequities: 1) for a diverse range of disadvantaged subgroups; 2) for various programmatic components of family planning; and 3) at national and subnational levels. Replicable across countries, this approach enables users to easily transform demographic and health survey data to better understand the profile of inequity. This information can be used to develop evidence for policy, financing, and programmatic decisions at national and subnational levels. The new methodology and replication guide describes the approach and provides step-by-step instructions for running the open source code independently. Results from the application of the approach to Uganda can be found in the brief and in this webinar.
Quality family planning information and services have not yet reached those with the greatest need. To support progress toward equitable healthcare, HP+ developed an approach for diagnosing inequity in family planning programs. This approach identifies inequities: 1) for a diverse range of disadvantaged subgroups; 2) for various programmatic components of family planning; and 3) at national and subnational levels. Replicable across countries, this approach enables users to easily transform demographic and health survey data to better understand the profile of inequity. This information can be used to develop evidence for policy, financing, and programmatic decisions at national and subnational levels. The new methodology and replication guide describes the approach and provides step-by-step instructions for running the open source code independently. Results from the application of the approach to Uganda can be found in the brief and in this webinar.
Quality family planning information and services have not yet reached those with the greatest need. To support progress toward equitable healthcare, HP+ developed an approach for diagnosing inequity in family planning programs. This approach identifies inequities: 1) for a diverse range of disadvantaged subgroups; 2) for various programmatic components of family planning; and 3) at national and subnational levels. Replicable across countries, this approach enables users to easily transform demographic and health survey data to better understand the profile of inequity. This information can be used to develop evidence for policy, financing, and programmatic decisions at national and subnational levels. The new methodology and replication guide describes the approach and provides step-by-step instructions for running the open source code independently. Results from the application of the approach to Uganda can be found in the brief and in this webinar.
Quality family planning information and services have not yet reached those with the greatest need. To support progress toward equitable healthcare, HP+ developed an approach for diagnosing inequity in family planning programs. This approach identifies inequities: 1) for a diverse range of disadvantaged subgroups; 2) for various programmatic components of family planning; and 3) at national and subnational levels. Replicable across countries, this approach enables users to easily transform demographic and health survey data to better understand the profile of inequity. This information can be used to develop evidence for policy, financing, and programmatic decisions at national and subnational levels. The new methodology and replication guide describes the approach and provides step-by-step instructions for running the open source code independently. Results from the application of the approach to Uganda can be found in the brief and in this webinar.
Quality family planning information and services have not yet reached those with the greatest need. To support progress toward equitable healthcare, HP+ developed an approach for diagnosing inequity in family planning programs. This approach identifies inequities: 1) for a diverse range of disadvantaged subgroups; 2) for various programmatic components of family planning; and 3) at national and subnational levels. Replicable across countries, this approach enables users to easily transform demographic and health survey data to better understand the profile of inequity. This information can be used to develop evidence for policy, financing, and programmatic decisions at national and subnational levels. The new methodology and replication guide describes the approach and provides step-by-step instructions for running the open source code independently. Results from the application of the approach to Uganda can be found in the brief and in this webinar.
