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Analytical studies: a framework for quality improvement design and analysis
Conducting studies for learning is fundamental to improvement. Deming emphasised that the reason for conducting a study is to provide a basis for action on the system of interest. He classified studies into two types depending on the intended target for action. An enumerative study is one in which a...
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Formato: | Texto |
Lenguaje: | English |
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BMJ Group
2011
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3066849/ https://www.ncbi.nlm.nih.gov/pubmed/21450782 http://dx.doi.org/10.1136/bmjqs.2011.051557 |
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author | Provost, Lloyd P |
author_facet | Provost, Lloyd P |
author_sort | Provost, Lloyd P |
collection | PubMed |
description | Conducting studies for learning is fundamental to improvement. Deming emphasised that the reason for conducting a study is to provide a basis for action on the system of interest. He classified studies into two types depending on the intended target for action. An enumerative study is one in which action will be taken on the universe that was studied. An analytical study is one in which action will be taken on a cause system to improve the future performance of the system of interest. The aim of an enumerative study is estimation, while an analytical study focuses on prediction. Because of the temporal nature of improvement, the theory and methods for analytical studies are a critical component of the science of improvement. |
format | Text |
id | pubmed-3066849 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2011 |
publisher | BMJ Group |
record_format | MEDLINE/PubMed |
spelling | pubmed-30668492011-04-11 Analytical studies: a framework for quality improvement design and analysis Provost, Lloyd P BMJ Qual Saf Rethinking Methods of Inference Conducting studies for learning is fundamental to improvement. Deming emphasised that the reason for conducting a study is to provide a basis for action on the system of interest. He classified studies into two types depending on the intended target for action. An enumerative study is one in which action will be taken on the universe that was studied. An analytical study is one in which action will be taken on a cause system to improve the future performance of the system of interest. The aim of an enumerative study is estimation, while an analytical study focuses on prediction. Because of the temporal nature of improvement, the theory and methods for analytical studies are a critical component of the science of improvement. BMJ Group 2011-04 /pmc/articles/PMC3066849/ /pubmed/21450782 http://dx.doi.org/10.1136/bmjqs.2011.051557 Text en © 2011, Published by the BMJ Publishing Group Limited. For permission to use (where not already granted under a licence) please go to http://group.bmj.com/group/rights-licensing/permissions. This is an open-access article distributed under the terms of the Creative Commons Attribution Non-commercial License, which permits use, distribution, and reproduction in any medium, provided the original work is properly cited, the use is non commercial and is otherwise in compliance with the license. See: http://creativecommons.org/licenses/by-nc/2.0/ and http://creativecommons.org/licenses/by-nc/2.0/legalcode. |
spellingShingle | Rethinking Methods of Inference Provost, Lloyd P Analytical studies: a framework for quality improvement design and analysis |
title | Analytical studies: a framework for quality improvement design and analysis |
title_full | Analytical studies: a framework for quality improvement design and analysis |
title_fullStr | Analytical studies: a framework for quality improvement design and analysis |
title_full_unstemmed | Analytical studies: a framework for quality improvement design and analysis |
title_short | Analytical studies: a framework for quality improvement design and analysis |
title_sort | analytical studies: a framework for quality improvement design and analysis |
topic | Rethinking Methods of Inference |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3066849/ https://www.ncbi.nlm.nih.gov/pubmed/21450782 http://dx.doi.org/10.1136/bmjqs.2011.051557 |
work_keys_str_mv | AT provostlloydp analyticalstudiesaframeworkforqualityimprovementdesignandanalysis |