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.
1. Overall goals and objectives
The purpose of this program is to support serobehavioral and clinical care surveillance activities related to potential most at-risk populations (MARPS) that have been under-observed or not yet evaluated in Uganda.
Serobehavioral and clinical care surveillance are critical tools for understanding HIV transmission dynamics and for developing specific, responsive, and effective prevention and treatment programming.
The OGAC 2010 Uganda COP review of MARPS activities observed that there were several target groups identified in the National Strategic Plan that were not addressed in the COP (e.g., injecting drug users, IDPs). Furthermore, interactions with various stakeholders in Uganda reveal that there is a need for increased serobehavioral and clinical care information among some recognized MARPS to increase efficiencies in prevention, care, and treatment programming (e.g., Uganda Police Force, IDPs, security personnel), as well as a need for initial serobehavioral and clinical care information among groups that potentially have high HIV sero-prevalence. However, select MARPs have been overlooked in previous efforts to identify potential target groups (e.g., individuals treated for mental health problems on an inpatient or outpatient basis).
Additionally, while HIV prevalence rates have been projected for MARPs groups, less is known about behavioral and social aspects of these target groups, which clearly impacts the rate of HIV prevalence in these communities. Therefore behavioral surveillance data is useful in highlighting high risk behaviors in various populations and demographic groups. Behavioral data can indicate where continued focus is needed for interventions as well as mapping and explaining HIV infection levels among special groups per region. Thus, the objective of this FOA is to support increased or novel serobehavioral surveillance activities among different groups.
2. Target populations and geographic coverage Provide demographic information on the target population(s) and total numbers planned to reach. Name districts in which the IP will implement activities
1. Individuals treated for mental health problems on an inpatient or outpatient bases and their families. 2. Individuals presenting to hospital emergency rooms for drug or alcohol related reasons. 3. Internally displaced people in conflict areas. 4. Uniformed services such as Uganda Police Force, security personnel, etc. 5. Fishermen & fishing communities. 6. Released prisoners and their families
The districts where the IP will implement activities are as follows: Central and Eastern Regions Kampala Mpigi Wakiso -(including Ggaba and surrounding) Jinja Mbale
Kamuli Mukono Iganga Mayuge Northern Region Gulu Lira Kitgum Apac Pader Arua South western region Masaka Mbarara Bushenyi Kasese Fort portal Masindi (Kirandongo)
3. Enhancing cost effectiveness and sustainability
Cost effectiveness will be achieved through the methodology used for establishing surveillance activities. 1. A cross-sectional probability sampling design or other valid and cost-effect probability-based sampling methods will appropriately be used per target group to design the data collection of the serobehavioral surveillance activities. Among specific target groups participants will be consecutively recruited. This will allow the implementing partner to quickly and effectively determine the scope and breadth of the issues faced by MARPs. 2. Efforts will be made to decrease participant attrition/loss to follow up. Doing so will ensure that the return on investment is high for surveillance activities and maximum amount of data is obtained with respect to resource investments. 3. Evidence/data gathered will be used to inform interventions in a dynamic and timely manner. An active effort will be made to reduce the lag time between data collected from surveillance activities and its application to interventions. 4. Comprehensive data collection and management systems will be established to maintain input, store, transmit, analyze, and report data in a timely and cost-effective manner. Sustainability will be addressed through the engagement of an indigenous organization (civil or non-civil) with expertise to handle target groups and able to facilitate the establishment of a surveillance system,
using existing infrastructure in the districts of operation. CDC will work closely with the implementing partner to provide guidance and technical assistance (as appropriate) to ensure the creation of a robust surveillance system. Through close guidance and technical assistance, CDC will help to build capacity within the indigenous organization and subunits within the districts of operation, thus helping to build internal capacity and ensure sustainability. From a local/district level capacity perspective, the collection of data from multiple sites and target populations, as well as engagement from multiple stakeholders (e.g., hospitals, district health centers, other district offices) will build the surveillance system from the "ground up" with substantial community/district involvement. This will allow key stakeholders to become aware of surveillance activities and become engaged in actively monitoring the key populations for trends in infection rates and behavioral/social covariates. The FOA will demonstrate to district/local organizations a model of how surveillance activities can be dynamically used to inform interventions. 4. Health Systems Strengthening This FOA will directly strengthen the capacity of Uganda to collect and use surveillance data to manage national HIV/AIDS programs for most-at-risk populations. The FOA will require the establishment of a surveillance system of behaviors and co-infections related to HIV/AIDS. Collected data will be used to focus on delivering target-appropriate interventions as well as mapping and explaining HIV infection levels among special groups across regions. The FOA will demonstrate to district/local health organizations a model of how surveillance activities can be dynamically used to inform interventions and improve health care service delivery and HIV/AIDS treatment of key populations.
5. Cross-Cutting Budget Attributions
Care & Treatment, Prevention, SI
None
