Andrew J Klein1,2, Clark Veet3, Amy Lu4, Amy J Kennedy5, Etsemaye Agonafer6, Thomas Grau7, Scott D Rothenberger7,8, Jennifer Corbelli7,9. 1. Division of General Internal Medicine, Department of Medicine, University of Pittsburgh School of Medicine, 200 Lothrop St, Pittsburgh, PA, 15213, USA. kleinaj@upmc.edu. 2. UPMC Health System, Pittsburgh, PA, USA. kleinaj@upmc.edu. 3. Department of Medicine, Lehigh Valley Health Network, Allentown, PA, USA. 4. Division of General Internal Medicine, Denver Health and Hospital Authority, University of Colorado School of Medicine, Denver, CO, USA. 5. Division of General Internal Medicine, VA Puget Sound Health System, University of Washington School of Medicine, Seattle, WA, USA. 6. Department of Health System Science, Kaiser Permanente Bernard J. Tyson School of Medicine, Pasadena, CA, USA. 7. Division of General Internal Medicine, Department of Medicine, University of Pittsburgh School of Medicine, 200 Lothrop St, Pittsburgh, PA, 15213, USA. 8. Center for Research on Health Care Data Center, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA. 9. UPMC Health System, Pittsburgh, PA, USA.
Abstract
BACKGROUND: Geographic cohorting is a hospital admission structure in which every patient on a given physician team is admitted to a dedicated hospital unit. Little is known about the long-term impact of this admission structure on patient outcomes and resident satisfaction. OBJECTIVE: To evaluate the effect of geographic cohorting on patient outcomes and resident satisfaction among inpatient internal medicine teaching services within an academic hospital. DESIGN AND INTERVENTION: We conducted an interrupted time series analysis examining patient outcomes before and after the transition to geographic cohorting of our 3 inpatient teaching services within a 520-bed academic hospital in November 2017. The study observation period spanned from January 2017 to October 2018, allowing for a 2-month run-in period (November-December 2017). PARTICIPANTS: We included patients discharged from the inpatient teaching teams during the study period. We excluded patients admitted to the ICU and observation admissions. MAIN MEASURES: Primary outcome was 6-month mortality adjusted for patient age, sex, race, insurance status, and Charlson Comorbidity Index (CCI) analyzed using a linear mixed effects model. Secondary outcomes included hospital length of stay (LOS), 7-day and 30-day readmission rate, Hospital Consumer Assessment of Healthcare Providers and Systems (HCAHPS) scores, and resident evaluations of the rotation. KEY RESULTS: During the observation period, 1720 patients (mean age 64, 53% female, 56% white, 62% Medicare-insured, mean CCI 1.57) were eligible for inclusion in the final adjusted model. We did not detect a significant change in 6-month mortality, LOS, and 7-day or 30-day readmission rates. HCAHPS scores remained unchanged (77 to 80% top box, P = 0.19), while resident evaluations of the rotation significantly improved (mean overall score 3.7 to 4.0, P = 0.03). CONCLUSIONS: Geographic cohorting was associated with increased resident satisfaction while achieving comparable patient outcomes to those of traditional hospital admitting models.
BACKGROUND: Geographic cohorting is a hospital admission structure in which every patient on a given physician team is admitted to a dedicated hospital unit. Little is known about the long-term impact of this admission structure on patient outcomes and resident satisfaction. OBJECTIVE: To evaluate the effect of geographic cohorting on patient outcomes and resident satisfaction among inpatient internal medicine teaching services within an academic hospital. DESIGN AND INTERVENTION: We conducted an interrupted time series analysis examining patient outcomes before and after the transition to geographic cohorting of our 3 inpatient teaching services within a 520-bed academic hospital in November 2017. The study observation period spanned from January 2017 to October 2018, allowing for a 2-month run-in period (November-December 2017). PARTICIPANTS: We included patients discharged from the inpatient teaching teams during the study period. We excluded patients admitted to the ICU and observation admissions. MAIN MEASURES: Primary outcome was 6-month mortality adjusted for patient age, sex, race, insurance status, and Charlson Comorbidity Index (CCI) analyzed using a linear mixed effects model. Secondary outcomes included hospital length of stay (LOS), 7-day and 30-day readmission rate, Hospital Consumer Assessment of Healthcare Providers and Systems (HCAHPS) scores, and resident evaluations of the rotation. KEY RESULTS: During the observation period, 1720 patients (mean age 64, 53% female, 56% white, 62% Medicare-insured, mean CCI 1.57) were eligible for inclusion in the final adjusted model. We did not detect a significant change in 6-month mortality, LOS, and 7-day or 30-day readmission rates. HCAHPS scores remained unchanged (77 to 80% top box, P = 0.19), while resident evaluations of the rotation significantly improved (mean overall score 3.7 to 4.0, P = 0.03). CONCLUSIONS: Geographic cohorting was associated with increased resident satisfaction while achieving comparable patient outcomes to those of traditional hospital admitting models.
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