JLN Knowledge Products: Produced by Countries, for Countries
June 14, 2024
This KP brochure presents a list and brief of the JLN Knowledge products produced by countries for countries.
Transforming PHC Delivery and Financing Through Primary Care Networks
March 23, 2023
This paper highlights the process for developing this learning community and some of the key learnings on how to successfully implement PCNs. Furthermore, it provides key recommendations for country policymakers, practitioners, and development partners based on lessons from the PHCPI COP.
Joint Learning on Strengthening Rehabilitation in Primary Health Care Virtual Roundtable Series Technical Report
March 1, 2023
This report provides a synthesis of the learning from a Virtual Roundtable Series on Integrating Rehabilitation into Primary Health Care.
Making Explicit Choices on the Path to UHC: Guide for Health Benefits Package Revision
December 13, 2022
The JLN Guide for Health Benefits Package Revision aims to support practitioners in low- and middle-income countries (LMICs) to revise their HBPs, while responding to changing disease burdens, fluctuating budgets, and the emergence of new services and health technologies, and to correct for implementation challenges.
Primary Health Care Financing and Payment Country Pairing Evaluation Report
September 30, 2022
In 2020, the PHC Financing and Payment collaborative pushed the boundaries of traditional webinar group-based learning and tested a more intimate and in-depth collaborative learning modality: country pairings. This modality pairs two or three countries with a specific interest in a topic – one that may not be a widely shared interest across the collaborative – to probe deeper into the implementation experience of a resource country and discuss details that are relevant to their countries. The JLN conducted a small developmental evaluation and the purpose was to capture and learn from how these pairings worked and to capture lessons learned from the country pairing approach. By documenting this new method, the JLN will be equipped with data-driven findings on this innovative approach to joint learning for modification, replication, or scale up in the future.