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How can we recognize continuous quality improvement?
OBJECTIVE: Continuous quality improvement (CQI) methods are foundational approaches to improving healthcare delivery. Publications using the term CQI, however, are methodologically heterogeneous, and labels other than CQI are used to signify relevant approaches. Standards for identifying the use of...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2014
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3914565/ https://www.ncbi.nlm.nih.gov/pubmed/24311732 http://dx.doi.org/10.1093/intqhc/mzt085 |
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author | Rubenstein, Lisa Khodyakov, Dmitry Hempel, Susanne Danz, Margie Salem-Schatz, Susanne Foy, Robbie O'Neill, Sean Dalal, Siddhartha Shekelle, Paul |
author_facet | Rubenstein, Lisa Khodyakov, Dmitry Hempel, Susanne Danz, Margie Salem-Schatz, Susanne Foy, Robbie O'Neill, Sean Dalal, Siddhartha Shekelle, Paul |
author_sort | Rubenstein, Lisa |
collection | PubMed |
description | OBJECTIVE: Continuous quality improvement (CQI) methods are foundational approaches to improving healthcare delivery. Publications using the term CQI, however, are methodologically heterogeneous, and labels other than CQI are used to signify relevant approaches. Standards for identifying the use of CQI based on its key methodological features could enable more effective learning across quality improvement (QI) efforts. The objective was to identify essential methodological features for recognizing CQI. DESIGN: Previous work with a 12-member international expert panel identified reliably abstracted CQI methodological features. We tested which features met rigorous a priori standards as essential features of CQI using a three-phase online modified-Delphi process. SETTING: Primarily United States and Canada. PARTICIPANTS: 119 QI experts randomly assigned into four on-line panels. INTERVENTION(S): Participants rated CQI features and discussed their answers using online, anonymous and asynchronous discussion boards. We analyzed ratings quantitatively and discussion threads qualitatively. MAIN OUTCOME MEASURE(S): Panel consensus on definitional CQI features. RESULTS: Seventy-nine (66%) panelists completed the process. Thirty-three completers self-identified as QI researchers, 18 as QI practitioners and 28 as both equally. The features ‘systematic data guided activities,’ ‘designing with local conditions in mind’ and ‘iterative development and testing’ met a priori standards as essential CQI features. Qualitative analyses showed cross-cutting themes focused on differences between QI and CQI. CONCLUSIONS: We found consensus among a broad group of CQI researchers and practitioners on three features as essential for identifying QI work more specifically as ‘CQI.’ All three features are needed as a minimum standard for recognizing CQI methods. |
format | Online Article Text |
id | pubmed-3914565 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2014 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-39145652014-02-05 How can we recognize continuous quality improvement? Rubenstein, Lisa Khodyakov, Dmitry Hempel, Susanne Danz, Margie Salem-Schatz, Susanne Foy, Robbie O'Neill, Sean Dalal, Siddhartha Shekelle, Paul Int J Qual Health Care Papers OBJECTIVE: Continuous quality improvement (CQI) methods are foundational approaches to improving healthcare delivery. Publications using the term CQI, however, are methodologically heterogeneous, and labels other than CQI are used to signify relevant approaches. Standards for identifying the use of CQI based on its key methodological features could enable more effective learning across quality improvement (QI) efforts. The objective was to identify essential methodological features for recognizing CQI. DESIGN: Previous work with a 12-member international expert panel identified reliably abstracted CQI methodological features. We tested which features met rigorous a priori standards as essential features of CQI using a three-phase online modified-Delphi process. SETTING: Primarily United States and Canada. PARTICIPANTS: 119 QI experts randomly assigned into four on-line panels. INTERVENTION(S): Participants rated CQI features and discussed their answers using online, anonymous and asynchronous discussion boards. We analyzed ratings quantitatively and discussion threads qualitatively. MAIN OUTCOME MEASURE(S): Panel consensus on definitional CQI features. RESULTS: Seventy-nine (66%) panelists completed the process. Thirty-three completers self-identified as QI researchers, 18 as QI practitioners and 28 as both equally. The features ‘systematic data guided activities,’ ‘designing with local conditions in mind’ and ‘iterative development and testing’ met a priori standards as essential CQI features. Qualitative analyses showed cross-cutting themes focused on differences between QI and CQI. CONCLUSIONS: We found consensus among a broad group of CQI researchers and practitioners on three features as essential for identifying QI work more specifically as ‘CQI.’ All three features are needed as a minimum standard for recognizing CQI methods. Oxford University Press 2014-02 2013-12-04 /pmc/articles/PMC3914565/ /pubmed/24311732 http://dx.doi.org/10.1093/intqhc/mzt085 Text en © The Author 2013. Published by Oxford University Press in association with the International Society for Quality in Health Care. http://creativecommons.org/licenses/by/3.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/3.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Papers Rubenstein, Lisa Khodyakov, Dmitry Hempel, Susanne Danz, Margie Salem-Schatz, Susanne Foy, Robbie O'Neill, Sean Dalal, Siddhartha Shekelle, Paul How can we recognize continuous quality improvement? |
title | How can we recognize continuous quality improvement? |
title_full | How can we recognize continuous quality improvement? |
title_fullStr | How can we recognize continuous quality improvement? |
title_full_unstemmed | How can we recognize continuous quality improvement? |
title_short | How can we recognize continuous quality improvement? |
title_sort | how can we recognize continuous quality improvement? |
topic | Papers |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3914565/ https://www.ncbi.nlm.nih.gov/pubmed/24311732 http://dx.doi.org/10.1093/intqhc/mzt085 |
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