Home Research Research Library The Primary Care Spend Model: a systems approach to measuring investment in primary care The Primary Care Spend Model: a systems approach to measuring investment in primary care 2019 Author(s) Baillieu, Robert, Kidd, Michael R, Phillips, Robert L, Roland, Martin O, Mueller, Michael, Morgan, David, Landon, Bruce E, DeVoe, Jennifer E, Martinez-Bianchi, Viviana, and Wang, Hong Topic(s) Role of Primary Care Keyword(s) Payment Volume BMJ Global Health Source BMJ Global Health Increased investment in primary care is associated with lower healthcare costs and improved population health. The allocation of scarce resources should be driven by robust models that adequately describe primary care activities and spending within a health system, and allow comparisons within and across health systems. However, disparate definitions result in wide variations in estimates of spending on primary care. We propose a new model that allows for a dynamic assessment of primary care spending (PC Spend) within the context of a system’s total healthcare budget. The model articulates varied definitions of primary care through a tiered structure which includes overall spending on primary care services, spending on services delivered by primary care professionals and spending delivered by providers that can be characterised by the ‘4Cs’ (first contact, continuous, comprehensive and coordinated care). This unifying framework allows a more refined description of services to be included in any estimate of primary care spend and also supports measurement of primary care spending across nations of varying economic development, accommodating data limitations and international health system differences. It provides a goal for best accounting while also offering guidance, comparability and assessments of how primary care expenditures are associated with outcomes. Such a framework facilitates comparison through the creation of standard definitions and terms, and it also has the potential to foster new areas of research that facilitate robust policy analysis at the national and international levels. This is an open access article distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited, appropriate credit is given, any changes made indicated, and the use is non-commercial. ABFM Research Read all 2023 Characteristics of Family Physicians Who Work in Integrated Behavioral Health Practice Settings Go to Characteristics of Family Physicians Who Work in Integrated Behavioral Health Practice Settings 2005 From specialty-based to practice-based: a new blueprint for the American Board of Family Medicine cognitive examination Go to From specialty-based to practice-based: a new blueprint for the American Board of Family Medicine cognitive examination 1987 Pilot study using ‘dangerous answers’ as scoring technique on certifying examinations Go to Pilot study using ‘dangerous answers’ as scoring technique on certifying examinations 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
Author(s) Baillieu, Robert, Kidd, Michael R, Phillips, Robert L, Roland, Martin O, Mueller, Michael, Morgan, David, Landon, Bruce E, DeVoe, Jennifer E, Martinez-Bianchi, Viviana, and Wang, Hong Topic(s) Role of Primary Care Keyword(s) Payment Volume BMJ Global Health Source BMJ Global Health
ABFM Research Read all 2023 Characteristics of Family Physicians Who Work in Integrated Behavioral Health Practice Settings Go to Characteristics of Family Physicians Who Work in Integrated Behavioral Health Practice Settings 2005 From specialty-based to practice-based: a new blueprint for the American Board of Family Medicine cognitive examination Go to From specialty-based to practice-based: a new blueprint for the American Board of Family Medicine cognitive examination 1987 Pilot study using ‘dangerous answers’ as scoring technique on certifying examinations Go to Pilot study using ‘dangerous answers’ as scoring technique on certifying examinations 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
2023 Characteristics of Family Physicians Who Work in Integrated Behavioral Health Practice Settings Go to Characteristics of Family Physicians Who Work in Integrated Behavioral Health Practice Settings
2005 From specialty-based to practice-based: a new blueprint for the American Board of Family Medicine cognitive examination Go to From specialty-based to practice-based: a new blueprint for the American Board of Family Medicine cognitive examination
1987 Pilot study using ‘dangerous answers’ as scoring technique on certifying examinations Go to Pilot study using ‘dangerous answers’ as scoring technique on certifying examinations
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