Finding order in heterogeneity: types of quality-improvement intervention publications
Open accessAbstract
BACKGROUND: Stakeholders in quality improvement agree on the need for augmenting and synthesising the scientific literature supporting it. The diversity of perspectives, approaches, and contexts critical to advancing quality improvement science, however, creates challenges. The paper explores the heterogeneity in clinical quality improvement intervention (QII) publications. METHODS: A preliminary classification framework was developed for QII articles, aiming for categories homogeneous enough to support coherent scientific discussion on QII reporting standards and facilitate systematic review. QII experts were asked to identify articles important to QII science. The framework was tested and revised by applying it to the article set. The final framework screened articles into (1) empirical literature on development and testing of QIIs; (2) QII stories, theories, and frameworks; (3) QII literature syntheses and meta-analyses; or (4) development and testing of QII-related tools. To achieve homogeneity, category (1) required division into (1a) development of QIIs; 1(b) history, documentation, or description of QIIs; or (1c) success, effectiveness or impact of QIIs. RESULTS: By discussing unique issues and established standards relevant to each category, QII stakeholders can advance QII practice and science, including the scope and conduct of systematic literature reviews.
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Using a consensus process to expand one of the existing frameworks used by the group was considered not to be feasible on the basis of a review of two studies of definitions of quality improvement interventions.
“This type of consensus was considered not to be feasible on the basis of a review of two studies of definitions of quality improvement (QI) interventions.”
From Towards a common terminology: a simplified framework of interventions to promote and integrate evidence into health practices, systems, and policies (2014) · cites this paper as [27]
The first study, using a process of consultation with expert panels, developed a definition of QI but was not successful in applying that definition to synthesize QI literature.
“The first, using a process of consultation with expert panels, developed a definition of QI but was not successful in applying that definition to synthesize QI literature [27].”
From Towards a common terminology: a simplified framework of interventions to promote and integrate evidence into health practices, systems, and policies (2014) · cites this paper as [27]
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Self-citation
- Authors
- Rubenstein, L. V., Hempel, S., Farmer, M. M., Asch, S. M., Yano, E. M., Dougherty, D., & Shekelle, P. W.
- Affiliations
- VA Sepulveda Ambulatory Care Center (US)
- RAND Corporation (US)
- University of California, Los Angeles (US)
- Agency for Healthcare Research and Quality (US)
- Corresponding author
- Rubenstein, L V
- Venue
- Quality and Safety in Health Care
- Publisher
- BMJ
- Published
- 2008-12-01
- Volume
- 17
- Issue
- 6
- Pages
- 403-408
- ISSN
- 1475-3898 (ISSN-L)
- 1475-3901
- OpenAlex
- W2106836859
- Cited by
- 52
- References
- 98
- Citations by year
- 2024: 2 · 2023: 1 · 2022: 2 · 2019: 3 · 2018: 2 · 2017: 2 · 2016: 3 · 2015: 15 · 2014: 2 · 2013: 3 · 2012: 1
- FWCI
- 10.29
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Locations
- BMJ Quality & Safety (publishedVersion)
- PubMed (publishedVersion)
- Funders
- Robert Wood Johnson Foundation
- National Institutes of Health
- Centers for Disease Control and Prevention
- Agency for Healthcare Research and Quality
- U.S. Public Health Service (HHSP 233200400717 P)
- Topics
- Health Sciences › Health Professions › General Health Professions › Health Policy Implementation Science
- Health Sciences › Health Professions › Health Information Management › Healthcare Quality and Management
- Social Sciences › Decision Sciences › Statistics, Probability and Uncertainty › Meta-analysis and systematic reviews
- Keywords
- quality improvement intervention, classification framework, reporting guidelines, systematic reviews, meta-analysis, literature synthesis
- MeSH terms
- Publications, Quality Assurance, Health Care
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
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