Literature DB >> 19660627

Model for improvement - Part Two: Measurement and feedback for quality improvement efforts.

Greg Randolph1, Megan Esporas, Lloyd Provost, Sara Massie, David G Bundy.   

Abstract

Measurement and feedback are fundamental to quality improvement. There is a knowledge gap among health care professionals in knowing how to measure the impact of their quality improvement projects and how to use these data to improve care. This article presents a pragmatic approach to measurement and feedback for quality improvement efforts in local health care settings, such as hospitals or clinical practices. The authors include evidence-based strategies from health care and other industries, augmented with practical examples from the authors' collective years of experience designing measurement and feedback strategies.

Mesh:

Year:  2009        PMID: 19660627     DOI: 10.1016/j.pcl.2009.05.012

Source DB:  PubMed          Journal:  Pediatr Clin North Am        ISSN: 0031-3955            Impact factor:   3.278


  3 in total

1.  Reduction of central line-associated bloodstream infection rates in a neonatal intensive care unit after implementation of a multidisciplinary evidence-based quality improvement collaborative: A four-year surveillance.

Authors:  Joseph Y Ting; Vicki Sk Goh; Horacio Osiovich
Journal:  Can J Infect Dis Med Microbiol       Date:  2013       Impact factor: 2.471

2.  Shifting the Paradigm: A Quality Improvement Approach to Proactive Cardiac Arrest Reduction in the Pediatric Cardiac Intensive Care Unit.

Authors:  Christine M Riley; J Wesley Diddle; Ashleigh Harlow; Kara Klem; Jason Patregnani; Evan Hochberg; Jenhao Jacob Cheng; Sopnil Bhattarai; Lisa Hom; Justine M Fortkiewicz; Darren Klugman
Journal:  Pediatr Qual Saf       Date:  2022-01-21

3.  Effects of a computerized feedback intervention on safety performance by junior doctors: results from a randomized mixed method study.

Authors:  Sabi Redwood; Nothando B Ngwenya; James Hodson; Robin E Ferner; Jamie J Coleman
Journal:  BMC Med Inform Decis Mak       Date:  2013-06-04       Impact factor: 2.796

  3 in total

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