Literature DB >> 12174407

Expanding a performance improvement initiative in critical care from hospital to system.

Yosef D Dlugacz1, Lori Stier, Dana Lustbader, Mitchel C Jacobs, Erfan Hussain, Alice Greenwood.   

Abstract

BACKGROUND: Concern about the expense and effects of intensive care prompted the development and implementation of a hospital-based performance improvement initiative in critical care at North Shore University Hospital, Manhasset, New York, a 730-bed acute care teaching hospital. THE HOSPITAL-BASED PERFORMANCE IMPROVEMENT INITIATIVE IN CRITICAL CARE: The initiative was intended to use a uniform set of measurements and guidelines to improve patient care and resource utilization in the intensive care units (ICUs), to establish and implement best practices (regarding admission and discharge criteria, nursing competency, unplanned extubations, and end-of-life care), and to improve performance in the other hospitals in the North Shore-Long Island Jewish Health System. In the medical ICU, the percentage of low-risk (low-acuity) patients was reduced from 42% to 22%. ICU length of stay was reduced from 4.6 days to 4.1 days. IMPLEMENTING THE CRITICAL CARE PROJECT SYSTEMWIDE: A system-level critical care committee was convened in 1996 and charged with replicating the initiative. By and large, system efforts to integrate and implement policies have been successful. The critical care initiative has provided important comparative data and information from which to gauge individual hospital performance. DISCUSSION: Changing the critical care delivered on multiple units at multiple hospitals required sensitivity to existing organizational cultures and leadership styles. Merging organizational cultures is most successful when senior leadership set clear expectations that support the need for change. The process of collecting, trending, and communicating quality data has been instrumental in improving care practices and fostering a culture of safety throughout the health care system.

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Year:  2002        PMID: 12174407     DOI: 10.1016/s1070-3241(02)28042-6

Source DB:  PubMed          Journal:  Jt Comm J Qual Improv        ISSN: 1070-3241


  4 in total

1.  Identifying Distinct Subgroups of ICU Patients: A Machine Learning Approach.

Authors:  Kelly C Vranas; Jeffrey K Jopling; Timothy E Sweeney; Meghan C Ramsey; Arnold S Milstein; Christopher G Slatore; Gabriel J Escobar; Vincent X Liu
Journal:  Crit Care Med       Date:  2017-10       Impact factor: 7.598

2.  Phenotypes of sickle cell intensive care admissions: an unsupervised machine learning approach in a single-center retrospective cohort.

Authors:  Eduardo Messias Hirano Padrão; Brian Bustos; Ashwin Mahesh; Guilherme Henrique Hencklain Fonseca; Leandro Utino Taniguchi
Journal:  Ann Hematol       Date:  2022-07-15       Impact factor: 4.030

3.  Variation exists in rates of admission to intensive care units for heart failure patients across hospitals in the United States.

Authors:  Kyan C Safavi; Kumar Dharmarajan; Nancy Kim; Kelly M Strait; Shu-Xia Li; Serene I Chen; Tara Lagu; Harlan M Krumholz
Journal:  Circulation       Date:  2013-01-25       Impact factor: 29.690

Review 4.  A Scoping Review of Implementation Science in Adult Critical Care Settings.

Authors:  Molly McNett; Dónal O'Mathúna; Sharon Tucker; Haley Roberts; Lorraine C Mion; Michele C Balas
Journal:  Crit Care Explor       Date:  2020-12-16
  4 in total

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