Literature DB >> 30625360

"Show Me the Data": A Recipe for Quality Improvement Success in an Academic Surgical Department.

Thomas J Birdas1, Grace F Rozycki2, Gary L Dunnington3, Larry Stevens3, Vanessa Liali3, C Max Schmidt3.   

Abstract

BACKGROUND: Surgeons in academic medical centers have traditionally taken a siloed approach to reducing postoperative complications. We initiated a project focusing on transparency and sharing of data to engage surgeons in collaborative quality improvement. Its key features were the development of a comprehensive department quality dashboard and the creation of the Clinical Operations Council that oversaw quality. The purpose of this study was to assess the impact of those efforts. STUDY
DESIGN: We compared inpatient outcomes before and after our intervention, allowing one quarter as the diffusion period. The outcomes analyzed were: risk-adjusted length of stay, mortality, direct cost and unadjusted incidence of complications, and 30-day all-cause readmissions, as determined by the Vizient Clinical Database. We examined the outcomes of three groups: group 1 (surgery); group 2, all other surgical departments (other surgery); and group 3, all other patients (non-surgery). Two-tailed Student's t-test was used for analysis and p < 0.05 was considered statistically significant.
RESULTS: Group 1 demonstrated statistically significant improvements in mortality (p = 0.01), length of stay (p = 0.002), cost (p = 0.0001), and complications (p = 0.02), and the all-cause readmission rate was unchanged, resulting in mean decrease of 0.55 length of stay days and direct cost savings of $2,300 per surgical admission. The comparison groups had only modest decreases in some of the analyzed outcomes and an increase in complication rates.
CONCLUSIONS: These data suggest that a collaborative, data-driven, and transparent approach to assessing the quality of surgical care can yield significant improvements in patient outcomes.
Copyright © 2019 American College of Surgeons. Published by Elsevier Inc. All rights reserved.

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Year:  2019        PMID: 30625360     DOI: 10.1016/j.jamcollsurg.2018.12.013

Source DB:  PubMed          Journal:  J Am Coll Surg        ISSN: 1072-7515            Impact factor:   6.113


  1 in total

1.  Development, implementation and preliminary evaluation of clinical dashboards in a department of anesthesia.

Authors:  Géry Laurent; Mouhamed D Moussa; Cédric Cirenei; Benoît Tavernier; Romaric Marcilly; Antoine Lamer
Journal:  J Clin Monit Comput       Date:  2020-05-16       Impact factor: 2.502

  1 in total

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