Evidence map›Paper›PMID 37239707›Full record

ArticleHealthcare (Basel, Switzerland)2023

The Search for an Outcome Variable That Measures Both Quality and Processes in Cardiac Surgery: Comparing the Quality Process Index and Mortality.

Paulien C Hoefsmit, Evert K Jansen, Ronald J M M Does, H Reinier Zandbergen

Abstract read
In one paragraph

Article in Healthcare (Basel, Switzerland), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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1 · What the graph read from it

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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

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3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

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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

4 authors.

Paulien C HoefsmitDepartment of Cardiothoracic Surgery, Amsterdam University Medical Centre, 1081HV Amsterdam, The Netherlands.ORCID 0000-0003-4019-7197
Evert K JansenDepartment of Cardiothoracic Surgery, Amsterdam University Medical Centre, 1081HV Amsterdam, The Netherlands.
Ronald J M M DoesDepartment of Business Analytics, Amsterdam Business School, University of Amsterdam, 1081TV Amsterdam, The Netherlands.ORCID 0000-0003-3452-6441
H Reinier ZandbergenDepartment of Cardiothoracic Surgery, Amsterdam University Medical Centre, 1081HV Amsterdam, The Netherlands.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe translation of a large quantity of data into valuable insights for daily clinical practice is underexplored. A considerable amount of information is overwhelming, making it difficult to distill and assess quality and processes at the hospital level. This study contributes to this necessary translation by developing a Quality Process Index that summarizes clinical data to measure quality and processes.

methodsThe Quality Process Index was constructed to enable retrospective analyses of quality and process evolution from 2011 to 2021 for various surgery types in the Amsterdam Cardiosurgical Database (n = 5497). It is presented alongside mortality rates, which are the golden standard for quality measurement. The two outcome variables are compared as quality and process measurement options.

resultsResults showed that the mean Quality Process Index appeared rather stable, even though analysis of variance found that the mean Quality Process Index differed significantly over the years (

conclusionsThe Quality Process Index seeks to address the need to translate data for quality and process improvement in healthcare. While mortality remains the most impactful outcome measure, the Quality Process Index provides a more stable and comprehensive measurement of quality and process improvement or deterioration in healthcare. Therefore, the Quality Process Index as a quantification reinforces the understanding of the definition of quality and process improvement.

Indexed as

cardiac surgeryclinical datadata-drivenefficiencyindexperformance indicatorprocess improvementquality improvement

Identifiers

PMID37239707
PMCPMC10217973

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