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. Author manuscript; available in PMC: 2022 Mar 10.
Published in final edited form as: Curr Diab Rep. 2018 Feb 5;18(2):8. doi: 10.1007/s11892-018-0977-5

Table 1.

Summary of the eight projects in NEXT-D2

Team/project Policy/program Data sources Setting and population Main outcomes Main analytic method
Northwestern University ACA Medicaid expansion Electronic health records from 2009 to 2019 from the Chicago Area Patient-Centered Outcomes Research Network (CAPriCORN) and the Greater Plains Collaborative Clinical Data Research Network 10 million patients in 5 Medicaid expansion and 4 non-expansion states Diabetes diagnosis, treatments, HbA1c levels, hypoglycemic, and other diabetes-related medications Difference-in-difference methods
Oregon Health & Sciences University/Prevent-D ACA Medicaid expansion EHR data from the ADVANCE clinical data research network, which has data from > 700 community health centers and Oregon Medicaid claim data Patients aged 19–64 with diabetes, prediabetes, at risk for type 2 diabetes, or no diabetes Insurance status, healthcare delivery, diabetes biomarkers (e.g., HbA1c), Medicaid expenditures Difference-in-difference
Harvard Medical School and Harvard Pilgrim Health Care Institute /HDHP impacts Employer-mandated transition to high-deductible insurance coverage OptumInsight (Eden Prairie, MN) Clinformatics commercial insurance claims database Patients with diagnosis of diabetes from 2005 to 2017 Inpatient, emergency room, and outpatient service utilization, out-of-pocket costs, and total healthcare service consumption Interrupted time series design and difference-in--difference
Pennsylvania State University College of Medicine at Hershey Medical Center Universal preventive coverage for obesity screening and counseling EHR and claims data from the PaTH Clinical Research Data Network (CDRN), a partnership of six health systems in 3 states Patients with overweight and obesity with diabetes or who are at risk for type 2 diabetes Weight loss, patient-reported outcomes (e.g., self-rated health, depression, physical activity, fruit and vegetable consumption), diabetes incidence, diabetes-related processes of care Multi-level mixed effects models, difference-in--difference
Tulane University Introduction of a CMS CPT billing code for non-face-to-face chronic care management services EHR and claims data from the Research Action for Health Network (REACHnet) Patients aged 35–94 with diabetes plus at least one other chronic condition Uptake and use of the new CMS billing code, diabetes quality indicators (e.g., HbA1c < 7%, blood pressure < 140/90 mmHg, etc.) Regression discontinuity, difference-in--difference
University of California, Berkeley CMS State Innovation Model (SIM) Initiative Population health survey data (BRFSS, HCUP), provider and system survey data (NSPO, N-SHOS) Physician organizations, adult patients with diabetes Organizational: adoption of diabetes care management, health IT, implementation of core PCMH components. Individual: diabetes-related health behaviors (e.g., physical activity, tobacco use, etc.) Stepped-wedge, difference-in--difference
Icahn School of Medicine at Mt. Sinai New York State’s Health Home program EHR data from the NYC-CDRN, which includes 7 major health systems, Medicaid claims, Medicaid HH program data, key informant interviews, focus groups Adults with diabetes who have been insured by Medicaid during the study period -Quality of care (e.g., nephropathy screening)
-Utilization (e.g., diabetes-related preventable admissions)
-Intermediate outcomes (e.g., HbA1c, blood pressure)
-Diabetes complications
Interrupted time series with comparison series and difference-in--differences
University of California, Los Angeles UnitedHealthcare Medicaid practice-level innovation (Accountable Care Communities) and Medicaid Health Home program UnitedHealthcare Medicaid claims data Adult Medicaid patients with diabetes or at risk for type 2 diabetes Diabetes-related health outcomes (e.g., HbA1c), processes of care (e.g., microalbuminuria screening), utilization and cost of care Interrupted time series design, regression discontinuity, and difference-in--difference

ACA Affordable Care Act, EHR electronic health record, HDHP high-deductible health plan, CMS Centers for Medicare and Medicaid Services, CPT current procedural terminology, BRFSS Behavioral Risk Factor Surveillance System, HCUP Healthcare Cost and Utilization Project, NSPO National Study of Physician Organizations, N-SHOS National Survey of Health Organizations and Systems