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Bunkers, Kari S.

Mayo Clinic

Mayo Clinic

Citations 4

Association of Neighborhood Measures of Social Determinants of Health With Breast, Cervical, and Colorectal Cancer Screening Rates in the US Midwest
Kurani, Shaheen , Inselman, Jonathan , Giblon, Rachel , Bunkers, Kari S., Stroebel, Robert J. , Rushlow, David , Shah, Nilay D. , Kurani, Shaheen S, Lampman, Michelle A. , Doubeni, Chyke A. , Inselman, Jonathan W, Giblon, Rachel E., McCoy, Rozalina G. , Rutten, Lila J. Finney , Chawla, Sagar

JAMA Network Open | March 9, 2020 | Volume: 3 | Issue: 3 | Pages: e200618

10.1001/jamanetworkopen.2020.0618 Get It

Implementation of a Comprehensive Population Health Management Model
Matthews, Marc R. , Stroebel, Robert J. , Wallace, Mark R. , Bryan, Michael , Swanson, Jill A., Allen, Summer V. , Bunkers, Kari S., Bryan, Michael J, Matthews, Marc R

Population Health Management | January 18, 2017 | Volume: 20 | Issue: 5 | Pages: 337-339

10.1089/pop.2016.0130 Get It

Making the Paradigm Shift from Siloed Population Health Management to an Enterprise-Wide Approach
Matthews, Marc R. , Miller, Claudia S., Stroebel, Robert J. , Bunkers, Kari S., Matthews, Marc R

Population Health Management | January 11, 2017 | Volume: 20 | Issue: 4 | Pages: 255-261

10.1089/pop.2016.0064 Get It

The Method for Performance Measurement Matters: Diabetes Care Quality as Measured by Administrative Claims and Institutional Registry
Tulledge‐Scheitel, Sidna M. , Naessens, James M. , Glasgow, Amy E. , Stroebel, Robert J. , Crane, Sarah J. , Bunkers, Kari S., Shah, Nilay D. , Glasgow, Amy E. , Tulledge-Scheitel, Sidna M, McCoy, Rozalina G. , Glasgow, Amy E

Health Services Research | February 5, 2016 | Volume: 51 | Issue: 6 | Pages: 2206-2220

10.1111/1475-6773.12453 Get It

ObjectivesPerformance measurement is used by health care providers, payers, and patients. Historically accomplished using administrative data, registries are used increasingly to track and improve care. We assess how measured diabetes care quality differs when calculated using claims versus registry.Data Sources/Study SettingCross‐sectional analysis of administrative claims and electronic health records (EHRs) of patients in a multispecialty integrated health system in 2012 (n = 368,883).Study DesignWe calculated percent of patients attaining glycohemoglobin <8.0 percent, LDL cholesterol <100 mg/dL, blood pressure <140/90 mmHg, and nonsmoking (D4) in cohorts, identified by Medicare Accountable Care Organization/Minnesota Community Measures (ACO‐MNCM; claims‐based), Healthcare Effectiveness Data and Information Set (HEDIS; claims‐based), and registry (EHR‐based).Data Collection/Extraction MethodsClaims were linked to EHR to create a dataset of performance‐eligible patients.Principal FindingsACO‐MNCM, HEDIS, and registry identified 6,475, 6,989, and 6,425 measurement‐eligible patients. Half were common among the methods; discrepancies were due to attribution, age restriction, and encounter requirements. D4 attainment was lower in ACO‐MNCM (36.09 percent) and HEDIS (37.51 percent) compared to registry (43.74 percent) cohorts.ConclusionsRegistry‐ and claims‐based performance measurement methods identify different patients, resulting in different rates of quality metric attainment with implications for innovative population health management.