Primary Health Dataset programme Rich data and knowledge are vital to provide health services that work for all New Zealanders. Find out more about what we’re doing with this data below.
What happens now in New Zealand and internationally In New Zealand, data is currently collected by general practices, community health providers, and PHOs for distinct reasons. Some primary care data is not included alongside the data held at a national level, making it difficult to plan and invest in health service improvement. Internationally, a number of different approaches are taken to reflect different types of health systems. Some health systems are nationalised (like the United Kingdom) and others have mainly private systems. New Zealand has a mix of directly government-funded services and providers who are independent of government, such as general practice. In most Western health systems, there is a move to working more closely with primary and community care organisations to take a greater population health approach to planning and service delivery.
Work to date and milestones The last six months (April 2022 to September 2022) • • • •
Engaged primary care to support the development of primary care dataset. Worked with primary care to understand what data is currently collected. Developed a summery of the type of primary care data held and where/how it is held. See PHDP current state analysis report. Provided a set of recommendations on how the programme could proceed. See memo on PHDP recommendations.
October 2022 to June 2023 • • • • • • • •
Define the data governance framework, including Te Tiriti o Waitangi principles. Define what primary health data sets would contain. Define the technology architecture of the enhanced data sets, including how the work aligns to the Hira Programme architecture. Develop a process for bringing the data together and curating it. Develop a definition of the services (such as analytics) that will be delivered as part of the data programme. Develop options for who could support this work, with the potential for procurement if required. Perform sample analytics and test assumptions around the data. Offer analytical tools to the sector.