Analytical studies: a framework for quality improvement design and analysis: Figure 1
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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.
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Improvement interventions are commonly launched without either a good outcome measurement plan or the baseline data required for meaningful time-series analyses.
“Improvement interventions are also commonly launched without either a good outcome measurement plan or the baseline data required for meaningful time-series analyses.34–36”
From Demystifying theory and its use in improvement (2015) · cites this paper as [35]
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- Authors
- Provost, L. P.
- Affiliations
- Institute for Healthcare Improvement (US)
- Corresponding author
- Provost, Lloyd P
- ORCID
- Provost, Lloyd P
- Venue
- BMJ Quality & Safety
- Publisher
- BMJ
- Published
- 2011-03-30
- Volume
- 20
- Issue
- Suppl 1
- Pages
- i92-i96
- ISSN
- 1475-3898 (ISSN-L)
- 2044-5415
- 2044-5423
- PMC
- PMC3066849
- OpenAlex
- W2056998865
- Cited by
- 72
- References
- 15
- Citations by year
- 2026: 1 · 2025: 3 · 2024: 7 · 2023: 5 · 2022: 5 · 2021: 5 · 2020: 9 · 2019: 2 · 2018: 9 · 2017: 4 · 2016: 2 · 2015: 5 · 2014: 2 · 2013: 8 · 2012: 3
- FWCI
- 7.71
- Type
- journal article
- Language
- en
- Open access
- hybrid
- doi.org
- Licence
- cc-by-nc
- Locations
- BMJ Quality & Safety (publishedVersion, cc-by-nc)
- Europe PMC (PubMed Central) (publishedVersion, cc-by-nc)
- PubMed Central (publishedVersion, cc-by-nc)
- PubMed (publishedVersion)
- Topics
- Health Sciences › Health Professions › Health Information Management › Healthcare Quality and Management
- Social Sciences › Business, Management and Accounting › Strategy and Management › Management Systems and Quality Improvement
- Social Sciences › Decision Sciences › Statistics, Probability and Uncertainty › Advanced Statistical Process Monitoring
- Keywords
- analytical study, prediction, Deming
- MeSH terms
- Health Services Research, Quality Assurance, Health Care, United States
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