Evidence map›Paper›PMID 31041099›Full record

ArticleSAGE open medicine2019

Seeing the quality improvement forest through the quality improvement trees: A meta-synthesis of case studies in Florida and Georgia.

William C Livingood, Lori Bilello, Katryne Lukens-Bull

Abstract read
In one paragraph

Article in SAGE open medicine, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors.

William C LivingoodCenter for Health Equity and Quality Research, University of Florida College of Medicine - Jacksonville, Jacksonville, FL, USA.ORCID https://orcid.org/0000-0003-1851-4985
Lori BilelloCenter for Health Equity and Quality Research, University of Florida College of Medicine - Jacksonville, Jacksonville, FL, USA.
Katryne Lukens-BullCenter for Health Equity and Quality Research, University of Florida College of Medicine - Jacksonville, Jacksonville, FL, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesTo identify important characteristics of quality improvement applications for population health and healthcare settings and to explore the use of quality improvement as a model for implementing and disseminating evidence-based or best practices.

methodsA meta-synthesis was used to examine published quality improvement case studies. A total of 10 published studies that were conducted in Florida and Georgia were examined and synthesized using meta-synthesis (a qualitative research methodology) for meaningful insights and lessons learned using defined meta-synthesis inclusion criteria. The primary focus of the analysis and synthesis were the reported processes and findings that included responses to structured questioning in addition to emergent results from direct observation and semi-structured open-ended interviewing.

resultsThe key insights for the use of quality improvement in public health and healthcare settings included (1) the essential importance of data monitoring, analysis, and data-based decision making; (2) the need to focus on internal mutable factors within organizations; (3) the critical role of quality improvement team group dynamics; (4) the value of using a quality improvement collaborative or multi-clinic quality council/committee for sharing and comparing performance on key metrics; and (5) the need to identify a quality improvement approach and methods for clarification as a structured quality improvement intervention.

conclusionIn addition to the advantages of using quality improvement to enhance or improve healthcare and public health services, there is also potential for quality improvement to serve as a model for enhancing the adoption of evidence-based practices within the context of dissemination and implementation research.

Indexed as

implementation sciencemeta-synthesisQuality improvement

Identifiers

PMID31041099
PMCPMC6477764

What OpenQuestion holds

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LicenceCC BY-NC
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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.