Literature DB >> 29397138

Perioperative structure and process quality and safety indicators: a systematic review.

M Chazapis1, D Gilhooly2, A F Smith3, P S Myles4, G Haller5, M P W Grocott6, S R Moonesinghe2.   

Abstract

BACKGROUND: Clinical indicators assess healthcare structures, processes, and outcomes. While used widely, the exact number and level of scientific evidence of these indicators remains unclear. The aim of this study was to evaluate the number, type, and evidence base of clinical process and structure indicators currently available for quality and safety measurement in perioperative care.
METHODS: We performed a systematic review searching Medline, Embase, Cumulative Index to Nursing and Allied Health Literature (CINAHL), Cochrane, Google Scholar, and System for Information in Grey Literature in Europe databases for English language human studies in adults (age >18) published in the past 10 years (January 2005-January 2016). We also included professional and governmental body publications and guidelines describing the development, validation, and use of structure and process indicators in perioperative care.
RESULTS: We identified 43 860 journal articles and 43 relevant indicator program publications. From these, we identified a total of 1282 clinical indicators, split into structure (36%, n=463) and process indicators (64%, n=819). The dimensions of quality most frequently addressed were effectiveness (38%, n=475) and patient safety (29%, n=363). The majority of indicators (53%, n=675) did not have a level of evidence ascribed in their literature. Patient-centred metrics accounted for the fewest published clinical indicators.
CONCLUSIONS: Despite widespread use, the majority of clinical indicators are not based on a strong level of scientific evidence. There may be scope in setting standards for the development and validation process of clinical indicators. Most indicators focus on the effectiveness, safety, and efficiency of care. PROSPERO DATABASE: CRD4201501277.
Copyright © 2017 British Journal of Anaesthesia. Published by Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  healthcare; perioperative period; quality indicators; review; systematic

Mesh:

Year:  2017        PMID: 29397138     DOI: 10.1016/j.bja.2017.10.001

Source DB:  PubMed          Journal:  Br J Anaesth        ISSN: 0007-0912            Impact factor:   9.166


  8 in total

1.  Development of a Clinical Prediction Model for In-hospital Mortality from the South African Cohort of the African Surgical Outcomes Study.

Authors:  Hyla-Louise Kluyts; Wilhelmina Conradie; Estie Cloete; Sandra Spijkerman; Oliver Smith; Ahmed Alli; Modise Z Koto; Odisang D Montwedi; Komalan Govender; Larissa Cronjé; Mariette Grobbelaar; Jones A Omoshoro-Jones; Nicolette F Rorke; Philip Anderson; Alexandra Torborg; Christella Alphonsus; Panagiotis Alexandris; Aunel Mallier Peter; Usha Singh; Johan Diedericks; Busisiwe Mrara; Anthony Reed; Gareth L Davies; Jody G Davids; Hendrik A Van Zyl; Vishendran Govindasamy; Reitze Rodseth; Roel Matos-Puig; Kajake A P Bhat; Noel Naidoo; John Roos; Magdalena Jaworska; Annemarie Steyn; Johannes M Dippenaar; R M Pearse; Thandinkosi Madiba; Bruce M Biccard
Journal:  World J Surg       Date:  2020-10-30       Impact factor: 3.352

2.  Systematic review and consensus definitions for the Standardised Endpoints in Perioperative Medicine initiative: clinical indicators.

Authors:  Guy Haller; Sohail Bampoe; Tim Cook; Lee A Fleisher; Michael P W Grocott; Mark Neuman; David Story; Paul S Myles
Journal:  Br J Anaesth       Date:  2019-05-23       Impact factor: 9.166

3.  Clinical indicators for reporting the effectiveness of patient quality and safety-related interventions: a protocol of a systematic review and Delphi consensus process as part of the international Standardised Endpoints for Perioperative Medicine initiative (StEP).

Authors:  Sohail Bampoe; Tim Cook; Lee Fleisher; Michael P W Grocott; Mark Neuman; David Story; Paul Myles; Guy Haller
Journal:  BMJ Open       Date:  2018-12-02       Impact factor: 2.692

4.  Implementation and Evaluation of a Web-Based Distribution System For Anesthesia Department Guidelines and Standard Operating Procedures: Qualitative Study and Content Analysis.

Authors:  Kaspar F Bachmann; Christian Vetter; Lars Wenzel; Christoph Konrad; Andreas P Vogt
Journal:  J Med Internet Res       Date:  2019-08-15       Impact factor: 5.428

5.  How to improve healthcare improvement-an essay by Mary Dixon-Woods.

Authors:  Mary Dixon-Woods
Journal:  BMJ       Date:  2019-10-01

6.  The Perioperative Quality Improvement Programme (PQIP patient study): protocol for a UK multicentre, prospective cohort study to measure quality of care and outcomes after major surgery.

Authors:  S Ramani Moonesinghe; Dermot McGuckin; Peter Martin; James Bedford; Duncan Wagstaff; David Gilhooly; Cristel Santos; Jonathan Wilson; Jenny Dorey; Irene Leeman; Helena Smith; Cecilia Vindrola-Padros; Kylie Edwards; Georgina Singleton; Michael Swart; Rachel Baumber; Arun Sahni; Samantha Warnakulasuriya; Ravi Vohra; Helen Ellicott; Anne-Marie Bougeard; Maria Chazapis; Aleksandra Ignacka; Martin Cripps; Alexandra Brent; Sharon Drake; James Goodwin; Dorian Martinez; Karen Williams; Pritam Singh; Matthew Bedford; Abigail E Vallance; Katie Samuel; Jose Lourtie; Dominic Olive; Christine Taylor; Olga Tucker; Giuseppe Aresu; Andrew Swift; Naomi Fulop; Mike Grocott
Journal:  Perioper Med (Lond)       Date:  2022-08-09

7.  Prioritisation of quality indicators for elective perioperative care: a Delphi consensus.

Authors:  D Gilhooly; M Chazapis; S R Moonesinghe
Journal:  Perioper Med (Lond)       Date:  2020-03-10

Review 8.  Measuring and monitoring perioperative patient safety: a basic approach for clinicians.

Authors:  Johannes Wacker
Journal:  Curr Opin Anaesthesiol       Date:  2020-12       Impact factor: 2.733

  8 in total

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