Diplomate Spotlight Opening Doors with Board Certification: A Conversation with Long Standing Diplomate Joseph Cook Read Opening Doors with Board Certification: A Conversation with Long Standing Diplomate Joseph Cook
Phoenix Newsletter - July 2025 Available Now: 2026 5-Year Cycle Registration Read Available Now: 2026 5-Year Cycle Registration
Home Research Research Library Comprehensiveness-the Need to Resurrect a Sagging Pillar of Primary Care. Comprehensiveness-the Need to Resurrect a Sagging Pillar of Primary Care. 2022 Author(s) Henry, Tracey L, Rich, Eugene C, and Bazemore, Andrew W Topic(s) Role of Primary Care, and Achieving Health System Goals Keyword(s) Payment, and Quality Of Care Volume Journal of General Internal Medicine Source Journal of General Internal Medicine There is a critical importance of comprehensive primary care, particularly in light of the COVID-19 pandemic. The authors argue that comprehensiveness – the ability of primary care clinicians to meet the majority of patients’ physical and mental health needs – is a crucial yet declining feature of primary care in the United States. They highlight the benefits of comprehensive care, including reduced hospitalizations, lower costs, and greater health equity. The article identifies barriers to comprehensiveness, such as fee-for-service payment models and inadequate training environments. The authors call for reforms in clinician training, practice organization, and payment models to revitalize comprehensive primary care, which they deem essential for addressing health inequities and improving overall healthcare delivery. ABFM Research Read all 2019 Debt and the emerging physician workforce: the relationship between educational debt and family medicine residents’ practice and fellowship intentions Go to Debt and the emerging physician workforce: the relationship between educational debt and family medicine residents’ practice and fellowship intentions 1990 Predictive validity of the American Board of Family Practice In-Training Examination Go to Predictive validity of the American Board of Family Practice In-Training Examination 2020 Using Machine Learning to Predict Primary Care and Advance Workforce Research Go to Using Machine Learning to Predict Primary Care and Advance Workforce Research 2014 Effectiveness over efficiency: underestimating the primary care physician shortage Go to Effectiveness over efficiency: underestimating the primary care physician shortage
Author(s) Henry, Tracey L, Rich, Eugene C, and Bazemore, Andrew W Topic(s) Role of Primary Care, and Achieving Health System Goals Keyword(s) Payment, and Quality Of Care Volume Journal of General Internal Medicine Source Journal of General Internal Medicine
ABFM Research Read all 2019 Debt and the emerging physician workforce: the relationship between educational debt and family medicine residents’ practice and fellowship intentions Go to Debt and the emerging physician workforce: the relationship between educational debt and family medicine residents’ practice and fellowship intentions 1990 Predictive validity of the American Board of Family Practice In-Training Examination Go to Predictive validity of the American Board of Family Practice In-Training Examination 2020 Using Machine Learning to Predict Primary Care and Advance Workforce Research Go to Using Machine Learning to Predict Primary Care and Advance Workforce Research 2014 Effectiveness over efficiency: underestimating the primary care physician shortage Go to Effectiveness over efficiency: underestimating the primary care physician shortage
2019 Debt and the emerging physician workforce: the relationship between educational debt and family medicine residents’ practice and fellowship intentions Go to Debt and the emerging physician workforce: the relationship between educational debt and family medicine residents’ practice and fellowship intentions
1990 Predictive validity of the American Board of Family Practice In-Training Examination Go to Predictive validity of the American Board of Family Practice In-Training Examination
2020 Using Machine Learning to Predict Primary Care and Advance Workforce Research Go to Using Machine Learning to Predict Primary Care and Advance Workforce Research
2014 Effectiveness over efficiency: underestimating the primary care physician shortage Go to Effectiveness over efficiency: underestimating the primary care physician shortage