Evidence map›Paper›PMID 24618212›Full record

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

Development and validation of an index to assess hospital quality management systems.

C Wagner, O Groene, C A Thompson, N S Klazinga, M Dersarkissian, O A Arah, R Suñol, DUQuE Project Consortium

Abstract readValidation Study
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 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing 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

14 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. The associations between organizational culture, organizational structure and quality management in European hospitals.International journal for quality in health care : journal of the International Society for Quality in Health Care · 2014
    Article
  9. Evidence-based organization and patient safety strategies in European hospitals.International journal for quality in health care : journal of the International Society for Quality in Health Care · 2014
    Article
  10. DUQuE quality management measures: associations between quality management at hospital and pathway levels.International journal for quality in health care : journal of the International Society for Quality in Health Care · 2014
    Article
  11. The effect of certification and accreditation on quality management in 4 clinical services in 73 European hospitals.International journal for quality in health care : journal of the International Society for Quality in Health Care · 2014
    Article
  12. 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
  13. Is having quality as an item on the executive board agenda associated with the implementation of quality management systems in European hospitals: a quantitative analysis.International journal for quality in health care : journal of the International Society for Quality in Health Care · 2014
    Article
  14. 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.

C WagnerNIVEL, Netherlands Institute for Health Services Research, PO Box 1568, 3500 BN Utrecht, the Netherlands. c.wagner@nivel.nl.
O Groene
C A Thompson
N S Klazinga
M Dersarkissian
O A Arah
R Suñol
DUQuE Project Consortium

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveThe aim of this study was to develop and validate an index to assess the implementation of quality management systems (QMSs) in European countries.

designQuestionnaire development was facilitated through expert opinion, literature review and earlier empirical research. A cross-sectional online survey utilizing the questionnaire was undertaken between May 2011 and February 2012. We used psychometric methods to explore the factor structure, reliability and validity of the instrument. SETTING AND

participantsAs part of the Deepening our Understanding of Quality improvement in Europe (DUQuE) project, we invited a random sample of 188 hospitals in 7 countries. The quality managers of these hospitals were the main respondents.

main outcome measureThe extent of implementation of QMSs.

resultsFactor analysis yielded nine scales, which were combined to build the Quality Management Systems Index. Cronbach's reliability coefficients were satisfactory (ranging from 0.72 to 0.82) for eight scales and low for one scale (0.48). Corrected item-total correlations provided adequate evidence of factor homogeneity. Inter-scale correlations showed that every factor was related, but also distinct, and added to the index. Construct validity testing showed that the index was related to recent measures of quality. Participating hospitals attained a mean value of 19.7 (standard deviation of 4.7) on the index that theoretically ranged from 0 to 27.

conclusionAssessing QMSs across Europe has the potential to help policy-makers and other stakeholders to compare hospitals and focus on the most important areas for improvement.

Indexed as

AdultCross-Sectional StudiesEuropeFactor Analysis, StatisticalFemaleHospital AdministratorsHospitalsHumansMaleMiddle AgedOrganizational PolicyPatient SafetyPsychometricsQuality Assurance, Health CareSurveys and Questionnaireshealth care systemhospital carepatient safetyquality managementsurveys

Identifiers

PMID24618212
PMCPMC4001698

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.