PROGRAM DESCRIPTION AND BACKGROUND INFORMATION The U. S. President's Emergency Plan for AIDS Relief (PEPFAR) announces an open solicitation for organizations to submit applications to implement the second component of a community led monitoring grant in Kenya:
Routine data collection of patient
and provider feedback at PEPFAR supported sites.
PEPFAR Kenya recognizes the critical role that civil society organizations (CSOs) play towards achieving epidemic control in Kenya.
To this end, PEPFAR Kenya is implementing Community Led Monitoring (CLM) aimed at collecting patient and provider level input related to the quality of services provided at PEPFAR sites.
CLM has three components:
Component 1:
Support for a CLM Coordination Mechanism Under CLM, PEPFAR Kenya will support the creation of the CLM coordination mechanism which will be compromised of key stakeholders such as Civil Society Organizations (CSOs), the Government of Kenya (GoK), County Health Management Teams (CHMT), National AIDS and STIs Control Programme (NASCOP), Global Fund (GF), Faith Based Organizations (FBOs), the private sector, and PEPFAR Kenya.
The coordination mechanism will meet monthly to review patient and provider feedback and all other relevant data sources (e.g., Data Quality Assessments (DQAs), Service Quality Assessments (SQAs), Monitoring, Evaluation, and Reporting (MER), Site Improvement through Monitoring System (SIMS, etc.) with the aim to better understanding barriers and enablers to accessing services at the client level and from the client perspective in facilities and communities.
Component 2:
Routine Collection of Patient and Provider Feedback Under CLM, PEPFAR Kenya will award grants to local civil society organizations who will be responsible for data collection of patient and clinical staff experience at the facility level at PEPFAR sites.
The questions and observations will be centered around programmatic themes as determined by the CLM coordination mechanism and entered into an anonymized data platform that will be publicly available.
Component 3:
Establishment of a Sustainable Data Collection Platform Under CLM, PEPFAR Kenya will support a web-based platform to aggregate and visualize patient and provider responses to questions using customer satisfaction surveys, SIMS, and other data sources.
This platform will provide users with real-time data on sites’ quality of services derived from the responses.
The framework will ensure data collected is in alignment with both the Kenya National Bureau of Statistics (KNBS), and United States Government.
This will enable data collected under CLM to be recognized as quality data in accordance with local government standards and be interoperable with other data sources.
An additional component will include capacity building of CSOs to adhere to quality guidelines in their collection of citizen-generated data.
Please follow all instructions below.
Program Objectives:
This NOFO requests applications under Component #2 of the CLM program for CSOs to routinely collect patient- and provider-level data related to the quality of services provided at the site level.
Proposed Counties:
For this CLM NOFO, PEPFAR Kenya’s objectives will focus on the following counties:
Nairobi, Kisumu, Mombasa, Nakuru, Narok, Samburu, and Turkana.
Applicants may submit proposals to cover between one and seven of the counties listed above.
Successful applicants will be responsible for:
Routine collection of patient and provider feedback.
(Questions and observations will be centered around programmatic themes as determined through the CLM Coordination Mechanism.) Working with locally based CSOs or individuals to establish a schedule to collect scale and open-ended questions related to service delivery from the individual patient and clinical staff level at PEPFAR supported facilities within a given county.
By using the appropriate tools to feed into a web-based platform.
Entering the data in an anonymized data platform.
A monthly report covering the three items described above must be shared with the CLM Coordination Mechanism.