Literature DB >> 26646282

Fault Tree Analysis.

Lisa M McElroy1, Rebeca Khorzad1, Theresa A Rowe1, Zachary A Abecassis1, Daniel W Apley1, Cynthia Barnard1, Jane L Holl1.   

Abstract

The purpose of this study was to use fault tree analysis to evaluate the adequacy of quality reporting programs in identifying root causes of postoperative bloodstream infection (BSI). A systematic review of the literature was used to construct a fault tree to evaluate 3 postoperative BSI reporting programs: National Surgical Quality Improvement Program (NSQIP), Centers for Medicare and Medicaid Services (CMS), and The Joint Commission (JC). The literature review revealed 699 eligible publications, 90 of which were used to create the fault tree containing 105 faults. A total of 14 identified faults are currently mandated for reporting to NSQIP, 5 to CMS, and 3 to JC; 2 or more programs require 4 identified faults. The fault tree identifies numerous contributing faults to postoperative BSI and reveals substantial variation in the requirements and ability of national quality data reporting programs to capture these potential faults. Efforts to prevent postoperative BSI require more comprehensive data collection to identify the root causes and develop high-reliability improvement strategies.

Entities:  

Keywords:  bloodstream infection; data collection; quality improvement; quality metrics; root cause analysis

Mesh:

Year:  2016        PMID: 26646282     DOI: 10.1177/1062860615614944

Source DB:  PubMed          Journal:  Am J Med Qual        ISSN: 1062-8606            Impact factor:   1.852


  2 in total

1.  Application of Human Factors Methods to Understand Missed Follow-up of Abnormal Test Results.

Authors:  Deevakar Rogith; Tyler Satterly; Hardeep Singh; Dean F Sittig; Elise Russo; Michael W Smith; Don Roosan; Viraj Bhise; Daniel R Murphy
Journal:  Appl Clin Inform       Date:  2020-10-21       Impact factor: 2.342

2.  A framework to support risk assessment in hospitals.

Authors:  Gulsum Kubra Kaya; James R Ward; P John Clarkson
Journal:  Int J Qual Health Care       Date:  2019-06-01       Impact factor: 2.038

  2 in total

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