• Shirley Cohen-Mekelburg, Liberty Greene, Jeffrey Berinstein, Akbar K Waljee, Timothy P Hofer, Sameer D Saini, and Donna M Zulman.
• University of Michigan, 1500 E Medical Center Dr, 3912 Taubman Center, Ann Arbor, MI 48105. Email: shcohen@umich.edu.
• Am J Manag Care. 2023 Mar 1; 29 (3): e71e78e71-e78.

ObjectivesPatients with complex chronic conditions have varying multidisciplinary care needs and utilization patterns, which limit the effectiveness of initiatives designed to improve continuity of care (COC) and reduce utilization. Our objective was to categorize patients with complex chronic conditions into distinct groups by pattern of outpatient care use and COC to tailor interventions.Study DesignObservational cohort study from 2014 to 2015.MethodsWe identified patients whose 1-year hospitalization risk was in at least the 90th percentile in 2014 who had a chronic gastrointestinal disease (cirrhosis, inflammatory bowel disease, chronic pancreatitis) as case examples of complex chronic disease. We described frequency of office visits, number of outpatient providers, and 2 COC measures (usual provider of care, Bice-Boxerman COC indices) over 12 months. We used latent profile analysis, a statistical method for identifying distinct subgroups, to categorize patients based on overall, primary care, gastroenterology, and mental health continuity patterns.ResultsThe 26,751 veterans in the cohort had a mean (SD) of 13.3 (8.6) office visits and 7.2 (3.8) providers in 2014. Patients were classified into 5 subgroups: (1) high gastroenterology-specific COC with mental health use; (2) high gastroenterology-specific COC without mental health use; (3) high overall utilization with mental health use; (4) low overall COC with mental health use; and (5) low overall COC without mental health use. These groups varied in their sociodemographic characteristics and risk for hospitalization, emergency department use, and mortality.ConclusionsPatients at high risk for health care utilization with specialty care needs can be grouped by varying propensity for health care continuity patterns.

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