Phoenix Newsletter - October 2025 President’s Message: Enduring Commitments in a Time of Change Read President’s Message: Enduring Commitments in a Time of Change
Home Research Research Library Mental Health Treatment in the Primary Care Setting: Patterns and Pathways Mental Health Treatment in the Primary Care Setting: Patterns and Pathways 2014 Author(s) Petterson, Stephen M, Miller, Benjamin F, Payne-Murphy, Jessica C, and Phillips, Robert L Topic(s) Role of Primary Care, and What Family Physicians Do Keyword(s) Mental Health Care, and Patient Centered Medical Home (PCMH) Volume Families, Systems, & Health Source Families, Systems, & Health The redesign of primary care through the patient-centered medical home offers an opportunity to assess the role of primary care in treating mental health relative to the rest of the health care system. Better understanding the patterns of care between primary care and mental health providers helps guide necessary policy changes. This article reports the findings from 109,593 respondents to the 2002-2009 Medical Expenditure Panel Surveys (MEPS). We examined the extent to which persons with poor mental health visited primary care providers, and distinguished among 4 patterns of care: (a) mental health only, (b) primary care only, (c) dual care (both mental health and primary care) and (d) other provider combinations. Our findings indicate that poor mental health and specific mental health conditions remain prevalent in primary care. An increased focus on patient-centered care requires greater integration of primary and mental health care to reduce fragmentation of care and disparities in health outcomes. ABFM Research Read all 2016 Reimagining Our Relationships with Patients: A Perspective from the Keystone IV Conference Go to Reimagining Our Relationships with Patients: A Perspective from the Keystone IV Conference 2019 The Declining Presence of Family Physicians in Hospital-Based Care Go to The Declining Presence of Family Physicians in Hospital-Based Care 2018 Practice Rurality of Family Physicians Enrolled in a Practice Transformation Network Go to Practice Rurality of Family Physicians Enrolled in a Practice Transformation Network 2025 Heterogeneity of diagnosis and documentation of post-COVID conditions in primary care: A machine learning analysis Go to Heterogeneity of diagnosis and documentation of post-COVID conditions in primary care: A machine learning analysis
Author(s) Petterson, Stephen M, Miller, Benjamin F, Payne-Murphy, Jessica C, and Phillips, Robert L Topic(s) Role of Primary Care, and What Family Physicians Do Keyword(s) Mental Health Care, and Patient Centered Medical Home (PCMH) Volume Families, Systems, & Health Source Families, Systems, & Health
ABFM Research Read all 2016 Reimagining Our Relationships with Patients: A Perspective from the Keystone IV Conference Go to Reimagining Our Relationships with Patients: A Perspective from the Keystone IV Conference 2019 The Declining Presence of Family Physicians in Hospital-Based Care Go to The Declining Presence of Family Physicians in Hospital-Based Care 2018 Practice Rurality of Family Physicians Enrolled in a Practice Transformation Network Go to Practice Rurality of Family Physicians Enrolled in a Practice Transformation Network 2025 Heterogeneity of diagnosis and documentation of post-COVID conditions in primary care: A machine learning analysis Go to Heterogeneity of diagnosis and documentation of post-COVID conditions in primary care: A machine learning analysis
2016 Reimagining Our Relationships with Patients: A Perspective from the Keystone IV Conference Go to Reimagining Our Relationships with Patients: A Perspective from the Keystone IV Conference
2019 The Declining Presence of Family Physicians in Hospital-Based Care Go to The Declining Presence of Family Physicians in Hospital-Based Care
2018 Practice Rurality of Family Physicians Enrolled in a Practice Transformation Network Go to Practice Rurality of Family Physicians Enrolled in a Practice Transformation Network
2025 Heterogeneity of diagnosis and documentation of post-COVID conditions in primary care: A machine learning analysis Go to Heterogeneity of diagnosis and documentation of post-COVID conditions in primary care: A machine learning analysis