Research – Cantor co-authors study examining Medicaid-Serving Primary Care Teams

January 6, 2023

Abstract

PURPOSE
Primary care factors related to Medicaid enrollees’ receipt of guideline concordant cancer treatment is understudied; however, team structure and processes likely affect care disparities. We explore Medicaid-serving primary care teams functioning within multiteam systems to understand performance variations in quality of breast and colorectal cancer care.

METHODS
We conducted a comparative case study, using critical case sampling of primary care clinics in New Jersey, to provide maximum variation on clinic-level care performance rates (Medicaid enrollees’ receipt of guideline-concordant treatment). Site evaluations, conducted from 2019 to 2020, included observation (2-3 days) and interviews. Using a multistep analytic process, we explored contextual factors within primary care that may contribute to cancer care performance variations.

RESULTS
We identified performance variations stemming from adaptations of multiteam system inputs and processes on the basis of contextual factors (ie, business model, clinic culture). Team 1 (average performer), part of a multisite safety-net clinic system, mainly teamed outside their organization, relying on designated roles, protocol-based care, and quality improvement informed by within-team metrics. Team 2 (high performer), part of a for-profit health system, remained mission-driven to improve urban health, teamed exclusively with internal teams through electronically enabled information exchange and health system–wide quality improvement efforts. Team 3 (low performer), a physician-owned private practice with minimal teaming, accepted Medicaid enrollees to diversify their payer mix and relied on referral-based care with limited consideration of social barriers.

CONCLUSION
Primary care team structures and processes variations may (in part) explain performance variations. Future research aiming to improve care quality for Medicaid populations should consider primary care teams’ capacity and context in relation to composite teams to support care quality improvements in subsequent prospective trials.

CITATION
Denalee M. O’Malley, Michelle Doose, Jenna Howard, Joel C. Cantor, Benjamin F. Crabtree, and Jennifer Tsui. 2022. Understanding the Impact of Medicaid-Serving Primary Care Team Functioning and Clinical Context on Cancer Care Treatment Quality: Implications for Addressing Structural Inequities. JCO Oncology Practice 0 0:0

Joel Cantor is Distinguished Professor of Public Policy at the Bloustein School and Director, Center for State Health Policy at Rutgers University

Recent Posts

NJSPL Report: Analyzing the Use and Equity of ARPA Funds

Report Release: Analyzing the Use and Equity of ARPA Funds in NJ Local Governments and Beyond New Jersey State Policy Lab The American Rescue Plan Act’s Coronavirus State and Local Fiscal Recovery Funds (ARPA-SLFRF) represent a historic $350 billion investment to...

Dr. Grafova Presented Posters from the VSR Research

Dr. Irina Grafova recently returned from the AcademyHealth Research Meeting in Minneapolis, where she had the opportunity to present two posters from the Virtual Schwartz Rounds emotional support program for nurses, run by the New Jersey Nursing Emotional Well-being...

Heldrich Report: Analysis of NJ Life Sciences, Tech Sectors

The Heldrich Center, in conjunction with the New Jersey Economic Development Authority (NJEDA), is pleased to share a new workforce analysis of the life sciences and technology sectors in New Jersey, with a particular emphasis on the sectors’ intersection with...

Restrepo-Mieth Researches Tree Inventories in Galápagos, Ecuador

Who wants a tree inventory and why? The politics of inventorying urban forestry in Galápagos, Ecuador Abstract Trees make significant contributions to the urban experience by providing ecosystem services and aesthetic value. Considering these contributions, cities are...

NJSPL: Georeferencing Historical Maps for Geospatial Analysis

New Jersey State Policy Lab, Jonathan DeLura Our project to create a dataset of historical water bodies in New Jersey began by finding maps of historical water bodies. Two atlases were used to locate historical water bodies in New Jersey. The first was Atlas of the...