Literature DB >> 18086396

Quality measurement at intensive care units: which indicators should we use?

Maartje de Vos1, Wilco Graafmans, Els Keesman, Gert Westert, Peter H J van der Voort.   

Abstract

OBJECTIVE: This study was conducted to develop a set of indicators that measure the quality of care in intensive care units (ICU) in Dutch hospitals and to evaluate the feasibility of the registration of these indicators.
METHODS: To define potential indicators for measuring quality, 3 steps were made. First, a literature search was carried out to obtain peer-reviewed articles from 2000 to 2005, describing process or structure indicators in intensive care, which are associated with patient outcome. Additional indicators were suggested by a panel of experts. Second, a selection of indicators was made by a panel of experts using a questionnaire and ranking in a consensus procedure. Third, a study was done for 6 months in 18 ICUs to evaluate the feasibility of using the identified quality indicators. Site visits, interviews, and written questionnaires were used to evaluate the use of indicators.
RESULTS: Sixty-two indicators were initially found, either in the literature or suggested by the members of the expert panel. From these, 12 indicators were selected by the expert panel by consensus. After the feasibility study, 11 indicators were eventually selected. "Interclinical transport," referring to a change of hospital, was dropped because of lack of reliability and support for further implementation by the participating hospitals in the study. The following structure indicators were selected: availability of intensivist (hours per day), patient-to-nurse ratio, strategy to prevent medication errors, measurement of patient/family satisfaction. Four process indicators were selected: length of ICU stay, duration of mechanical ventilation, proportion of days with all ICU beds occupied, and proportion of glucose measurement exceeding 8.0 mmol/L or lower than 2.2 mmol/L. The selected outcome indicators were as follows: standardized mortality (APACHE II), incidence of decubitus, number of unplanned extubations. The time for registration varied from less than 30 minutes to more than 1 hour per day to collect the items. Among other factors, this variation in workload was related to the availability of computerized systems to collect the data.
CONCLUSION: In this study, a set of 11 quality indicators for intensive care was defined based on literature research, expert opinion, and testing. The set gives a quick view of the quality of care in individual ICUs. The availability of a computerized data collection system is important for an acceptable workload.

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Mesh:

Year:  2007        PMID: 18086396     DOI: 10.1016/j.jcrc.2007.01.002

Source DB:  PubMed          Journal:  J Crit Care        ISSN: 0883-9441            Impact factor:   3.425


  37 in total

1.  Assessing the utility of ICU readmissions as a quality metric: an analysis of changes mediated by residency work-hour reforms.

Authors:  Sydney E S Brown; Sarah J Ratcliffe; Scott D Halpern
Journal:  Chest       Date:  2015-03       Impact factor: 9.410

2.  [Quality management in intensive care medicine. Indispensable for daily routine].

Authors:  J Martin; J-P Braun
Journal:  Med Klin Intensivmed Notfmed       Date:  2012-04-14       Impact factor: 0.840

3.  The epidemiology of intensive care unit readmissions in the United States.

Authors:  Sydney E S Brown; Sarah J Ratcliffe; Jeremy M Kahn; Scott D Halpern
Journal:  Am J Respir Crit Care Med       Date:  2012-01-26       Impact factor: 21.405

4.  Prediction of long-term mortality in ICU patients: model validation and assessing the effect of using in-hospital versus long-term mortality on benchmarking.

Authors:  Sylvia Brinkman; Ameen Abu-Hanna; Evert de Jonge; Nicolette F de Keizer
Journal:  Intensive Care Med       Date:  2013-08-07       Impact factor: 17.440

5.  Unplanned extubation in a paediatric intensive care unit: prospective cohort study.

Authors:  Hari Krishnan Kanthimathinathan; Andrew Durward; Andrew Nyman; Ian A Murdoch; Shane M Tibby
Journal:  Intensive Care Med       Date:  2015-05-19       Impact factor: 17.440

6.  An environmental scan of quality indicators in critical care.

Authors:  Sabira Valiani; Romain Rigal; Henry T Stelfox; John Muscedere; Claudio M Martin; Peter Dodek; François Lamontagne; Robert Fowler; Afshan Gheshmy; Deborah J Cook; Alan J Forster; Paul C Hébert
Journal:  CMAJ Open       Date:  2017-06-21

7.  Implementing quality indicators in intensive care units: exploring barriers to and facilitators of behaviour change.

Authors:  Maartje Lg de Vos; Sabine N van der Veer; Wilco C Graafmans; Nicolette F de Keizer; Kitty J Jager; Gert P Westert; Peter Hj van der Voort
Journal:  Implement Sci       Date:  2010-07-01       Impact factor: 7.327

8.  Quality indicators in intensive care medicine: why? Use or burden for the intensivist.

Authors:  Jan-Peter Braun; Hendrik Mende; Hanswerner Bause; Frank Bloos; Götz Geldner; Marc Kastrup; Ralf Kuhlen; Andreas Markewitz; Jörg Martin; Michael Quintel; Klaus Steinmeier-Bauer; Christian Waydhas; Claudia Spies
Journal:  Ger Med Sci       Date:  2010-09-28

9.  An in-hospital mortality equation for mechanically ventilated patients in intensive care units.

Authors:  Takeshi Umegaki; Masaji Nishimura; Kimitaka Tajimi; Kiyohide Fushimi; Hiroshi Ikai; Yuichi Imanaka
Journal:  J Anesth       Date:  2013-03-09       Impact factor: 2.078

10.  Psychometric evaluation of a modified version of the family satisfaction in the ICU survey in parents/caregivers of critically ill children*.

Authors:  David Epstein; Jennifer B Unger; Beatriz Ornelas; Jennifer C Chang; Barry P Markovitz; David Y Moromisato; Peter M Dodek; Daren K Heyland; Jeffrey I Gold
Journal:  Pediatr Crit Care Med       Date:  2013-10       Impact factor: 3.624

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