Evidence map›Paper›PMID 25889675›Full record

ArticleBMC health services research2015

Does clinical governance influence the appropriateness of hospital stay?

Maria Lucia Specchia, Andrea Poscia, Massimo Volpe, Paolo Parente, Silvio Capizzi, Andrea Cambieri, Gianfranco Damiani, Walter Ricciardi, OPTIGOV© Collaborating Group, Antonio Giulio De Belvis

Abstract read
In one paragraph

Article in BMC health services research, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
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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

10 authors.

Maria Lucia SpecchiaDepartment of Public Health, Catholic University of Sacred Hearth, Largo F.Vito, 1, 00168, Rome, Italy. marialucia.specchia@rm.unicatt.it.
Andrea PosciaDepartment of Public Health, Catholic University of Sacred Hearth, Largo F.Vito, 1, 00168, Rome, Italy. andreaposcia83@gmail.com.
Massimo VolpeClinical Directorate "A. Gemelli" Teaching Hospital, Largo Gemelli 8, 00168, Rome, Italy. massimo.volpe@rm.unicatt.it.
Paolo ParenteDepartment of Public Health, Catholic University of Sacred Hearth, Largo F.Vito, 1, 00168, Rome, Italy. pparente87@hotmail.it.
Silvio CapizziDepartment of Public Health, Catholic University of Sacred Hearth, Largo F.Vito, 1, 00168, Rome, Italy. silviocapizzi@virgilio.it.
Andrea CambieriClinical Directorate "A. Gemelli" Teaching Hospital, Largo Gemelli 8, 00168, Rome, Italy. acambieri@rm.unicatt.it.
Gianfranco DamianiDepartment of Public Health, Catholic University of Sacred Hearth, Largo F.Vito, 1, 00168, Rome, Italy. gdamiani@rm.unicatt.it.
Walter RicciardiDepartment of Public Health, Catholic University of Sacred Hearth, Largo F.Vito, 1, 00168, Rome, Italy. wricciardi@rm.unicatt.it.
OPTIGOV© Collaborating Group
Antonio Giulio De BelvisDepartment of Public Health, Catholic University of Sacred Hearth, Largo F.Vito, 1, 00168, Rome, Italy. debelvis@rm.unicatt.it.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundClinical Governance provides a framework for assessing and improving clinical quality through a single coherent program. Organizational appropriateness is aimed at achieving the best health outcomes and the most appropriate use of resources. The goal of the present study is to verify the likely relationship between Clinical Governance and appropriateness of hospital stay.

methodsA cross-sectional study was conducted in 2012 in an Italian Teaching Hospital. The OPTIGOV(©) (Optimizing Health Care Governance) methodology was used to quantify the level of implementation of Clinical Governance globally and in its main dimensions. Organizational appropriateness was measured retrospectively using the Italian version of the Appropriateness Evaluation Protocol to analyze a random sample of medical records for each clinical unit. Pearson-correlation and multiple linear regression were used to test the relationship between the percentage of inappropriate days of hospital stay and the Clinical Governance implementation levels.

results47 Units were assessed. The percentage of inappropriate days of hospital stay showed an inverse correlation with almost all the main Clinical Governance dimensions. Adjusted multiple regression analysis resulted in a significant association between the percentage of inappropriate days and the overall Clinical Governance score (β = -0.28; p < 0.001; R-squared = 0.8). EBM and Clinical Audit represented the Clinical Governance dimensions which had the strongest association with organizational appropriateness.

conclusionsThis study suggests that the evaluation of both Clinical Governance and organizational appropriateness through standardized and repeatable tools, such as OPTIGOV(©) and AEP, is a key strategy for healthcare quality. The relationship between the two underlines the central role of Clinical Governance, and especially of EBM and Clinical Audit, in determining a rational improvement of appropriateness levels.

Indexed as

Clinical AuditClinical GovernanceCross-Sectional StudiesData Interpretation, StatisticalFemaleHospitals, TeachingHumansItalyLength of StayQuality of Health CareRetrospective Studies

Identifiers

PMID25889675
PMCPMC4392497

What OpenQuestion holds

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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.