Evidence map›Paper›PMID 24615597›Full record

ArticleInternational journal for quality in health care : journal of the International Society for Quality in Health Care2014

DUQuE quality management measures: associations between quality management at hospital and pathway levels.

Cordula Wagner, Oliver Groene, Caroline A Thompson, Maral Dersarkissian, Niek S Klazinga, Onyebuchi A Arah, Rosa Suñol, DUQuE Project Consortium

Abstract read
In one paragraph

Article in International journal for quality in health care : journal of the International Society for Quality in Health Care, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing 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

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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

11 citing papers in PubMed.

  1. Article
  2. An Innovative Framework for Sustainable Development in Healthcare: The Human Rights Assessment.International journal of environmental research and public health · 2022
    Article
  3. Article
  4. Article
  5. Article
  6. Observational
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  8. Article
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  11. Deepening our understanding of quality improvement in Europe (DUQuE): overview of a study of hospital quality management in seven countries.International journal for quality in health care : journal of the International Society for Quality in Health Care · 2014
    Article
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

8 authors.

Cordula WagnerPO Box 1568, Utrecht 3500 BN, The Netherlands. c.wagner@nivel.nl.
Oliver Groene
Caroline A Thompson
Maral Dersarkissian
Niek S Klazinga
Onyebuchi A Arah
Rosa Suñol
DUQuE Project Consortium

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveThe assessment of integral quality management (QM) in a hospital requires measurement and monitoring from different perspectives and at various levels of care delivery. Within the DUQuE project (Deepening our Understanding of Quality improvement in Europe), seven measures for QM were developed. This study investigates the relationships between the various quality measures.

designIt is a multi-level, cross-sectional, mixed-method study. SETTING AND

participantsAs part of the DUQuE project, we invited a random sample of 74 hospitals in 7 countries. The quality managers of these hospitals were the main respondents. Furthermore, data of site visits of external surveyors assessing the participating hospitals were used.

main outcome measuresThree measures of QM at hospitals level focusing on integral systems (QMSI), compliance with the Plan-Do-Study-Act quality improvement cycle (QMCI) and implementation of clinical quality (CQII). Four measures of QM activities at care pathway level focusing on Specialized expertise and responsibility (SER), Evidence-based organization of pathways (EBOP), Patient safety strategies (PSS) and Clinical review (CR).

resultsPositive significant associations were found between the three hospitals level QM measures. Results of the relationships between levels were mixed and showed most associations between QMCI and department-level QM measures for all four types of departments. QMSI was associated with PSS in all types of departments.

conclusionBy using the seven measures of QM, it is possible to get a more comprehensive picture of the maturity of QM in hospitals, with regard to the different levels and across various types of hospital departments.

Indexed as

Hospital AdministratorsCritical PathwaysCross-Sectional StudiesEuropeHospitalsPatient SafetyQuality Assurance, Health CareQuality ControlQuality ImprovementQuality Indicators, Health CareSurveys and Questionnairesexternal quality assessmenthospital caremeasurement of qualityorganization science, healthcare systempatient safetyquality improvementquality management

Identifiers

PMID24615597
PMCPMC4001696

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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.