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.
07-X1301: UTAP: University of California San Francisco (UCSF): Validation of Mortality Data.
This activity has USG Team Botswana Internal Reference Number X1301. This activity links to the following: P0102 & P0107 & T1113 & T1114.
UCSF is one of several U.S. Universities selected to provide training and technical assistance to HIV/AIDS programs domestically and internationally. UCSF faculty and staff are available to assist with the development of innovative models to address specific program area activities; to contribute to the implementation of key initiatives to inform national policy; and, to provide training opportunities both locally and internationally, for service providers and program managers on inventive strategies for care and treatment services.
In 2006, UCSF conducted a WHO-funded mortality data analysis and PMTCT program data analysis to ascertain the impact of ARV on overall mortality, including age-specific mortality, and PMTCT services on infant mortality. The work in FY07 will be a follow-up to the preliminary findings. The UCSF team will provide technical assistance to MOH and HHS/CDC staff to update the data included in the preliminary findings, gather more data on adult and infant mortality records (i.e. PMTCT program data from mid-2005 through mid-2006). Mortality trends by age, sex and geographic locations will be examined. UCSF will also analyze the cause specific mortality data to determine the proportion attributable to AIDS in both infant and adult in Botswana. Results of this activity will document the impact of different programs on mortality and will help the GOB improve and scale up these programs.
07-X1303: UTAP: University of California San Francisco (UCSF): - Investigating the Causes of HIV Prevalence Decline among Young Pregnant Women in Botswana.
This activity has USG Team Botswana Internal Reference Number X1303. This activity links to the following: P0101 & P0107.
According to the recent UNAIDS report, the HIV prevalence has stabilized and even declined in southern Africa. In Botswana, preliminary HIV prevalence trends analyses of voluntary counseling and testing data (VCT in Tebelopele centers) and ANC sentinel data show an encouraging decline in HIV prevalence among young pregnant women and the youth (15-24 year olds). These declines need to be confirmed and their causes identified. To better understand the contexts underlying this decline, the MOH and HHS/CDC/BOTUSA propose an in-depth interviews and focus group discussions with young pregnant women attending ANC programs.
Identifying the possible underlying causes for the apparent decline of HIV prevalence could help inform the design of culturally sensitive prevention programs.
The fieldwork for this activity will be conducted by the University of California San Francisco (UCSF). Detailed protocol will be submitted to the HHS/CDC and the local HRDC before conducting this targeted evaluation.
07-X1305: UTAP: University of California San Francisco (UCSF): Data Analysis and Report Writing Workshop.
This activity has USG Team Botswana Internal Reference Number X1305. This activity links to the following: T1111 & T1112 & X1307.
Botswana is often cited as one of the success stories of HIV/AIDS response in Africa. However there is inadequate documentation on its ‘best practice evidences'. In addition, there is a fair amount of program data in the country which requires systematic and high level statistical analysis. The lack of highly skilled human resources and skills to analyze and disseminate these findings is the limiting factor. This activity intends to train high level technical staff in the MOH, NACA and BOTUSA on complex data analysis and writing methodology.
UCSF faculty and staff will in FY07 assist with the data analysis and provision of training to BOTUSA staff and senior technical staff at MOH, NACA, and other sectors. This exercise will end in a report writing workshop whereby important policy documents and scientific articles may be produced. Part I - Data Analysis and Interpretation: One UCSF analysts and one UCSF faculty will be in-country for a one and a half week analysis workshop. Participants for part I will include principal investigators, data analysts, and other study staff. The overall goal of workshop is to produce an analytic data set for use in Part II of the workshop. Towards this goal, Part I will focus on first on "getting to know your data". This would include such topics as how to write a data analysis plans, putting together data dictionaries, data cleaning, and creating new variables. There will also be some training around choosing the right statistical test/model for the research question given the format of the data. If relevant, training on statistical software packages (SAS, STATA, and SPSS) will be included as well. The second section of Part I would focus more on actual data analysis relevant to the research question, creating tables for the results section, data interpretation, and drafting the results section of the manuscript. The format for the workshop will be mostly one-on-one work with study teams (paired with a UCSF faculty member and analyst). UCSF staff and faculty would be available on a limited basis for follow-ups between Part I and Part II. Part II - Scientific Writing: One UCSF analyst and one UCSF faculty will be in-country for a one and a half week writing workshop. Participants will include manuscript authors and data analysts if available. The overall goal of workshop is to prepare a draft scientific manuscript. Lectures for Part II include: developing a title, writing up methods and results, preparing the discussion and conclusions. Faculty and staff will assist study teams in any additional data analyses needed, identifying journals to submit manuscript, and organizing peer review of drafts (with a final peer review sent out to UCSF staff with interest & knowledge in the area).
