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 Triple Aim Is Triply Tough: Can You Focus on Three Things at Once? Triple Aim Is Triply Tough: Can You Focus on Three Things at Once? 2018 Author(s) Donahue, Katrina E, Reid, Alfred, Baxley, Elizabeth G, Carter, Charles, Carek, Peter J, Robinson, Mark, and Newton, Warren P Volume Family Medicine Source Family Medicine BACKGROUND AND OBJECTIVES: The I3 POP Collaborative sought to improve health of patients attending North Carolina, South Carolina, and Virginia primary care teaching practices using the triple aim framework of better quality, appropriate utilization, and enhanced patient experience. We examined change in triple aim measures over 3 years, and identified correlates of improvement. METHODS: Twenty-nine teaching practices representing 23 residency programs participated. The Institute for Health Care Improvement Breakthrough Series Collaborative model was tailored to focus on at least one triple aim goal and programs submitted data annually on all collaborative measures. Outcome measures included quality (chronic illness, prevention); utilization (hospitalization, emergency department visits, referrals) and patient experience (access, continuity). Participant interviews explored supports and barriers to improvement. RESULTS: Six of 29 practices (21%) were unable to extract measures from their electronic health records (EHR). All of the remaining 23 practices reported improvement in at least one measure, with 11 seeing at least 10% improvement; seven (24%) improved measures in all three triple aim areas, with two experiencing at least 10% improvement. Practices with a greater number of patient visits were more likely to show improved measures (odds ratio [OR] 10.8, 95% confidence interval [CI]: .68-172.2, P=0.03). Practice interviews revealed that engaged leadership and systems supports were more common in higher performing practices. CONCLUSIONS: Simultaneous attainment of improvement in all three triple aim goals by teaching practices is difficult. I3 POP practices that were able to pull and report data improved on at least one measure. Future work needs to focus on cultivating leadership and systems supporting large scale improvement. ABFM Research Read all 2025 Reclaiming Medical Professionalism In An Era Of Corporate Healthcare Go to Reclaiming Medical Professionalism In An Era Of Corporate Healthcare 2025 Leveraging Large Language Models to Advance Certification, Physician Learning, and Diagnostic Excellence Go to Leveraging Large Language Models to Advance Certification, Physician Learning, and Diagnostic Excellence 2025 Validating 8 Area-Based Measures of Social Risk for Predicting Health and Mortality Go to Validating 8 Area-Based Measures of Social Risk for Predicting Health and Mortality 2025 Natural Language Processing Improves Reliable Identification of COVID-19 Compared to Diagnostic Codes Alone Go to Natural Language Processing Improves Reliable Identification of COVID-19 Compared to Diagnostic Codes Alone
Author(s) Donahue, Katrina E, Reid, Alfred, Baxley, Elizabeth G, Carter, Charles, Carek, Peter J, Robinson, Mark, and Newton, Warren P Volume Family Medicine Source Family Medicine
ABFM Research Read all 2025 Reclaiming Medical Professionalism In An Era Of Corporate Healthcare Go to Reclaiming Medical Professionalism In An Era Of Corporate Healthcare 2025 Leveraging Large Language Models to Advance Certification, Physician Learning, and Diagnostic Excellence Go to Leveraging Large Language Models to Advance Certification, Physician Learning, and Diagnostic Excellence 2025 Validating 8 Area-Based Measures of Social Risk for Predicting Health and Mortality Go to Validating 8 Area-Based Measures of Social Risk for Predicting Health and Mortality 2025 Natural Language Processing Improves Reliable Identification of COVID-19 Compared to Diagnostic Codes Alone Go to Natural Language Processing Improves Reliable Identification of COVID-19 Compared to Diagnostic Codes Alone
2025 Reclaiming Medical Professionalism In An Era Of Corporate Healthcare Go to Reclaiming Medical Professionalism In An Era Of Corporate Healthcare
2025 Leveraging Large Language Models to Advance Certification, Physician Learning, and Diagnostic Excellence Go to Leveraging Large Language Models to Advance Certification, Physician Learning, and Diagnostic Excellence
2025 Validating 8 Area-Based Measures of Social Risk for Predicting Health and Mortality Go to Validating 8 Area-Based Measures of Social Risk for Predicting Health and Mortality
2025 Natural Language Processing Improves Reliable Identification of COVID-19 Compared to Diagnostic Codes Alone Go to Natural Language Processing Improves Reliable Identification of COVID-19 Compared to Diagnostic Codes Alone