The Data Analytics for Monitoring Provider Payment Systems Collaborative met in Manila, Philippines from July 27-31, 2015.
Given the powerful effects provider financial incentives have on resource allocation and all UHC outcomes, key performance indicators to measure and monitor quality and effectiveness, and to detect unintended consequences of payment systems are critical.
Several JLN member countries are either in the midst of planning provider payment reform pilots or major national efforts, including Ghana, Indonesia, and Vietnam. Other countries are implementing ongoing provider payment policy refinements including Kenya, Malaysia, India, and the Philippines. As provider payment systems become more sophisticated a greater need arises to leverage available data to assess and monitor quality and effectiveness, as well as to detect any unintended consequences of payment systems reforms.
All of these countries are seeking to put in place appropriate monitoring or “early warning” systems, but monitoring for provider payment is rarely adequate in practice, and very little guidance on developing such systems is available from international experience.
To address this gap in global knowledge, the JLN Provider Payment and Information Technology facilitation teams organized Collaborative on Data Analytics for Monitoring Provider Payment as a forum to provide JLN members an opportunity to share experience and challenges using data analytics for monitoring provider payment systems.
“Health purchasers generate a wealth of data through claims and other sources. In many low- and middle-income countries it is a real challenge to effectively analyze the data and use it for system improvement. We learned from the first JLN PPM/IT Collaborative meeting in Hanoi in January that there is a lot happening in the countries. We have the opportunity to learn from their experience in ‘real time’ and shape the global knowledge on practical approaches to improving data analytics to monitor provider payment systems.”
Following the positive energy from the first JLN PPM/IT Collaborative meeting in January 2015, members gathered in Manila, Philippines from July 27-31 to delve further into identification of policy questions and best practice indicators to capture the strengths and weaknesses of different payment systems and how indicators can be captured from existing data sources. There were familiar faces of policymakers, IT experts, providers, and researchers from nine JLN member countries. A delegation from Moldova joined as a JLN Associate Member country.
“What is really interesting is that approximately all countries have the same problems,” said Mariana Zadnipru, Head, Analysis & Health Economics from Moldova’s National Health Insurance Company. “We also realized that some problems weren’t problems, and vice versa.”
As the meeting’s hosts, the Philippines delegation shared their experience from every angle. On the first day of the meeting the Asia e-Health Information Network (AeHIN) and PhilHealth organized a visit to the Philippines’s e-Health Summit for an in depth discussion on the use of health dashboards for decision-making. Later in the week, participants visited the Navotas City Hospital to meet the town’s mayor and learn about CHITs (Community Health Information Tracking Systems) – the open source IT system used for patient intake. Participants had the chance to visit community health centers to see CHITs in action.
During the rest of the four-day meeting, in a series of panel sessions, group work exercises, and open discussions participants began to push forward on developing content for the Data Analytics Toolkit including identifying and prioritizing questions, selecting and prioritizing indicators, and exploring how data should be captured.
After completion, the Toolkit will be made publically available to provide practical guidance for other countries that are struggling to make better use of data analytics to monitor provider payment systems in their contexts.