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Home Research Research Library Evaluating primary care expenditure in Australia: the Primary Care Spend (PC Spend) model Evaluating primary care expenditure in Australia: the Primary Care Spend (PC Spend) model 2025 Author(s) Wright, Michael, Bates, Shona, Bazemore, Andrew W, and Kidd, Michael R Topic(s) Role of Primary Care, and Achieving Health System Goals Keyword(s) Payment Volume Medical Journal of Australia Source Medical Journal of Australia Objectives To assess the distribution of health care expenditure (public and private) for primary care and primary health care as proportions of overall health care funding. Study design The Primary Care Spend model; estimated distribution of expenditure for three tiers of primary care services by provider and function. Setting Primary Care Spend model applied to Australian health expenditure, public and private, 2020–21, from a health sector perspective, as recorded by the Australian Institute of Health and Welfare. Main outcome measures Proportions of all health care spending for essential community and primary health care functions (tier A), comprehensive primary care (services delivered in general practices and family physician clinics; tier B), and enhanced primary care services (long-term holistic patient care; tier C). Results In 2020–21, 33.2% of health spending in Australia was classified as primary health care spending (tier A), 6.0% as comprehensive primary care services (tier B), and 0.8% as long term holistic patient care services (tier C). Conclusions The application of the Primary Care Spend model to Australian data provides a more nuanced analysis of expenditure for primary health care than routine health expenditure reports. Its output could be used to inform targets for spending on different tiers, types, and locations of primary care, especially comprehensive and other high value primary care services, and to monitor progress toward these targets. ABFM Research Read all 2020 Advancing bibliometric assessment of research productivity: an analysis of US Departments of Family Medicine Go to Advancing bibliometric assessment of research productivity: an analysis of US Departments of Family Medicine 2015 Graduates of Teaching Health Centers Are More Likely to Enter Practice in the Primary Care Safety Net Go to Graduates of Teaching Health Centers Are More Likely to Enter Practice in the Primary Care Safety Net 2025 Data Transformation to Advance AI/ML Research and Implementation in Primary Care Go to Data Transformation to Advance AI/ML Research and Implementation in Primary Care 2016 “Community vital signs”: incorporating geocoded social determinants into electronic records to promote patient and population health Go to “Community vital signs”: incorporating geocoded social determinants into electronic records to promote patient and population health
Author(s) Wright, Michael, Bates, Shona, Bazemore, Andrew W, and Kidd, Michael R Topic(s) Role of Primary Care, and Achieving Health System Goals Keyword(s) Payment Volume Medical Journal of Australia Source Medical Journal of Australia
ABFM Research Read all 2020 Advancing bibliometric assessment of research productivity: an analysis of US Departments of Family Medicine Go to Advancing bibliometric assessment of research productivity: an analysis of US Departments of Family Medicine 2015 Graduates of Teaching Health Centers Are More Likely to Enter Practice in the Primary Care Safety Net Go to Graduates of Teaching Health Centers Are More Likely to Enter Practice in the Primary Care Safety Net 2025 Data Transformation to Advance AI/ML Research and Implementation in Primary Care Go to Data Transformation to Advance AI/ML Research and Implementation in Primary Care 2016 “Community vital signs”: incorporating geocoded social determinants into electronic records to promote patient and population health Go to “Community vital signs”: incorporating geocoded social determinants into electronic records to promote patient and population health
2020 Advancing bibliometric assessment of research productivity: an analysis of US Departments of Family Medicine Go to Advancing bibliometric assessment of research productivity: an analysis of US Departments of Family Medicine
2015 Graduates of Teaching Health Centers Are More Likely to Enter Practice in the Primary Care Safety Net Go to Graduates of Teaching Health Centers Are More Likely to Enter Practice in the Primary Care Safety Net
2025 Data Transformation to Advance AI/ML Research and Implementation in Primary Care Go to Data Transformation to Advance AI/ML Research and Implementation in Primary Care
2016 “Community vital signs”: incorporating geocoded social determinants into electronic records to promote patient and population health Go to “Community vital signs”: incorporating geocoded social determinants into electronic records to promote patient and population health