Areeba Kara1, Cynthia S Johnson2, Amy Nicley3, Michael R Niemeier4, Siu L Hui5. 1. Indiana University Health Physicians, Inpatient Medicine, Indiana University School of Medicine, IU Center for Health Innovation and Implementation Science, Indianapolis, Indiana. 2. Department of Biostatistics, Indiana University School of Medicine and Richard M. Fairbanks School of Public Health, Indianapolis, Indiana. 3. Inpatient Programs and Accountable Care Units, Indiana University Health, Indianapolis, Indiana. 4. Retired Chief Medical Officer Indiana University Health Methodist Hospital, Indianapolis, Indiana. 5. Regenstrief Institute and Professor Emeritus Department of Biostatistics, Indiana University School of Medicine, Indianapolis, Indiana.
Abstract
BACKGROUND: US healthcare underperforms on quality and safety metrics. Inpatient care constitutes an immense opportunity to intervene to improve care. OBJECTIVE: Describe a model of inpatient care and measure its impact. DESIGN: A quantitative assessment of the implementation of a new model of care. The graded implementation of the model allowed us to follow outcomes and measure their association with the dose of the implementation. SETTING AND PATIENTS: Inpatient medical and surgical units in a large academic health center. INTERVENTION: Eight interventions rooted in improving interprofessional collaboration (IPC), enabling data-driven decisions, and providing leadership were implemented. MEASUREMENTS: Outcome data from August 2012 to December 2013 were analyzed using generalized linear mixed models for associations with the implementation of the model. Length of stay (LOS) index, case-mix index-adjusted variable direct costs (CMI-adjusted VDC), 30-day readmission rates, overall patient satisfaction scores, and provider satisfaction with the model were measured. RESULTS: The implementation of the model was associated with decreases in LOS index (P < 0.0001) and CMI-adjusted VDC (P = 0.0006). We did not detect improvements in readmission rates or patient satisfaction scores. Most providers (95.8%, n = 92) agreed that the model had improved the quality and safety of the care delivered. CONCLUSIONS: Creating an environment and framework in which IPC is fostered, performance data are transparently available, and leadership is provided may improve value on both medical and surgical units. These interventions appear to be well accepted by front-line staff. Readmission rates and patient satisfaction remain challenging.
BACKGROUND: US healthcare underperforms on quality and safety metrics. Inpatient care constitutes an immense opportunity to intervene to improve care. OBJECTIVE: Describe a model of inpatient care and measure its impact. DESIGN: A quantitative assessment of the implementation of a new model of care. The graded implementation of the model allowed us to follow outcomes and measure their association with the dose of the implementation. SETTING AND PATIENTS: Inpatient medical and surgical units in a large academic health center. INTERVENTION: Eight interventions rooted in improving interprofessional collaboration (IPC), enabling data-driven decisions, and providing leadership were implemented. MEASUREMENTS: Outcome data from August 2012 to December 2013 were analyzed using generalized linear mixed models for associations with the implementation of the model. Length of stay (LOS) index, case-mix index-adjusted variable direct costs (CMI-adjusted VDC), 30-day readmission rates, overall patient satisfaction scores, and provider satisfaction with the model were measured. RESULTS: The implementation of the model was associated with decreases in LOS index (P < 0.0001) and CMI-adjusted VDC (P = 0.0006). We did not detect improvements in readmission rates or patient satisfaction scores. Most providers (95.8%, n = 92) agreed that the model had improved the quality and safety of the care delivered. CONCLUSIONS: Creating an environment and framework in which IPC is fostered, performance data are transparently available, and leadership is provided may improve value on both medical and surgical units. These interventions appear to be well accepted by front-line staff. Readmission rates and patient satisfaction remain challenging.
Authors: Kevin J O'Leary; Julie K Johnson; Milisa Manojlovich; Jenna D Goldstein; Jungwha Lee; Mark V Williams Journal: BMC Health Serv Res Date: 2019-05-08 Impact factor: 2.655
Authors: Vincenzo Restivo; Giuseppa Minutolo; Alberto Battaglini; Alberto Carli; Michele Capraro; Maddalena Gaeta; Anna Odone; Cecilia Trucchi; Carlo Favaretti; Francesco Vitale; Alessandra Casuccio Journal: Int J Environ Res Public Health Date: 2022-09-02 Impact factor: 4.614