PEPFAR's annual planning process is done either at the country (COP) or regional level (ROP).
PEPFAR's programs are implemented through implementing partners who apply for funding based on PEPFAR's published Requests for Applications.
Since 2010, PEPFAR COPs have grouped implementing partners according to an organizational type. We have retroactively applied these classifications to earlier years in the database as well.
Also called "Strategic Areas", these are general areas of HIV programming. Each program area has several corresponding budget codes.
Specific areas of HIV programming. Budget Codes are the lowest level of spending data available.
Expenditure Program Areas track general areas of PEPFAR expenditure.
Expenditure Sub-Program Areas track more specific PEPFAR expenditures.
Object classes provide highly specific ways that implementing partners are spending PEPFAR funds on programming.
Cross-cutting attributions are areas of PEPFAR programming that contribute across several program areas. They contain limited indicative information related to aspects such as human resources, health infrastructure, or key populations programming. However, they represent only a small proportion of the total funds that PEPFAR allocates through the COP process. Additionally, they have changed significantly over the years. As such, analysis and interpretation of these data should be approached carefully. Learn more
Beneficiary Expenditure data identify how PEPFAR programming is targeted at reaching different populations.
Sub-Beneficiary Expenditure data highlight more specific populations targeted for HIV prevention and treatment interventions.
PEPFAR sets targets using the Monitoring, Evaluation, and Reporting (MER) System - documentation for which can be found on PEPFAR's website at https://www.pepfar.gov/reports/guidance/. As with most data on this website, the targets here have been extracted from the COP documents. Targets are for the fiscal year following each COP year, such that selecting 2016 will access targets for FY2017. This feature is currently experimental and should be used for exploratory purposes only at present.
Years of mechanism: 2010 2011 2012 2013
MEASURE Evaluation Phase III works to improve the collection, analysis and presentation of data to promote better use of data in policy-making, monitoring, and evaluation of HIV/AIDS and other health programs. In previous years, MEASURE Evaluation has collaborated with USG and local institutions in Zambia to conduct HIV prevention surveys and to build capacity in data collection, analysis, and dissemination. An especially intensive capacity-building program in these areas began in FY 2008 and continues through FY 2010.
MEASURE Evaluation proposes to focus its activities in FY 2010 on working with the National HIV/AIDS/STI/TB Council (NAC), and the Ministry of Health (MOH), and USG implementing partners, on capacity-building at national, district, and community levels to strengthen data and M&E systems, improve data quality, and encourage a data use culture beyond meeting reporting requirements to inform program decision-making. If needed, capacity-building around harmonization of data collection tools and indicators will be included, but we anticipate this will be achieved during FY 2010. We anticipate that our proposed activities will build upon FY 2010 work at NAC to standardize the data collection protocol for their annual program review and to develop a new strategic framework for the period 2011-2015. We anticipate that this will confirm needs already identified at NAC for improving the data systems that feed into monitoring and evaluation of the national response, and may be relevant to PEPFAR reporting needs as well.
Monitoring and evaluation of these activities will be accomplished through establishing benchmarks to track and document progress, and using internationally standard data quality assessment tools and M&E systems strengthening tools to obtain and compare, to the extent feasible with available funds, baseline and follow up measures tailored to each activity component.
MEASURE Evaluation will provide technical assistance and capacity-building and training (CBT) to NAC and other M&E staff and local consultants at the community, facility, and partner level. These CBT activities will be aimed at M&E and data systems strengthening and improving data quality, and will assist NAC in resolving problems they have experienced with poor data quality and reliability, leading to inconsistent and non-comparable data produced across the various data sources. Specific capacity-building activities at the individual and institutional level will prepare the relevant parties to understand and use Data Quality Assessment (DQA) tools and the M&E Systems Strengthening Tool (MESST), initially with assistance, and then independently. Information produced by application of these tools will identify gaps and problems, and provides a structure for an action plan to address gaps and weaknesses.
The project will rely on established tools and methods developed by MEASURE Evaluation in collaboration with UNAIDS and the Global Fund. The DQA tool kit includes tools designed for external audit team as well as routine data quality assessment tools. These tools include the Data Quality Audit tool, Data Quality Assessment Data Verification templates, and the Routine Data Quality Assessment Checklist and Assessment Tool. The M&E Systems Strengthening Tool includes checklists used to assess M&E plans, take stock of capability to manage data, and assess data collection and reporting systems.
MEASURE Evaluation will conduct or participate in DQAs aimed at providing baseline measures and subsequent monitoring of changes in data collection, compilation and reporting following the capacity-building provided. Tools and methodologies will be adapted to the local context, and will provide a qualitative (system assessment) and quantitative (data verification) assessment of data quality at each level of data generation.
MEASURE Evaluation will also undertake activities that respond to requests from NAC officials to help with data synthesis, small-scale evaluation studies, especially in collaboration with provincial research resource teams, and to provide basic training in M&E at provincial and district levels.
