Please use this identifier to cite or link to this item: http://hdl.handle.net/1942/13610
Title: The relationship between in-hospital mortality, readmission into the intensive care nursing unit and/or operating theatre and nurse staffing levels
Authors: Diya, Luwis
Van den Heede, Koen
Sermeus, Walter
LESAFFRE, Emmanuel 
Issue Date: 2012
Publisher: WILEY-BLACKWELL
Source: JOURNAL OF ADVANCED NURSING, 68 (5), p. 1073-1081
Abstract: Aim. The aim of this article was to assess the relationship between (1) in-hospital mortality and/or (2) unplanned readmission to intensive care units or operating theatre and nurse staffing variables. Background. Adverse events are used as surrogates for patient safety in nurse staffing and patient safety research. A single adverse event cannot adequately capture the multi-dimensional attributes of patient safety; hence, there is a need to consider composite measures. Unplanned readmission into the postoperative Intensive Care nursing unit and/or operating Theatre and in-hospital mortality can be viewed as measures that incorporate the effects of several adverse events. Methods. We conducted a Bayesian multilevel analysis on a subset of the 2003 Belgian Hospital Discharge and Nursing Minimum Data sets. The sample included 9054 patients who underwent coronary artery bypass surgery or heart valve procedures from 28 Belgian acute hospitals. Two proxies of patient safety were considered, namely postoperative in-hospital mortality in the first postoperative intensive care unit and unplanned readmission into the intensive care and/or operating theatre (including mortality beyond the first postoperative intensive care unit) after the first-operative intensive care nursing unit. Results. There is an association between in-hospital mortality and/or unplanned readmissions and nurse staffing levels, but the relationship is moderated by volume and severity of illness respectively. In addition, the relationship differs between the two endpoints. Conclusion. Higher nurse staffing levels on postoperative general nursing cardiac surgery units protected patients from unplanned readmission to intensive care units or operating theatre and in-hospital mortality.
Notes: [Diya, Luwis; Lesaffre, Emmanuel] Katholieke Univ Leuven, Interuniv Inst Biostat & Stat Bioinformat, Louvain, Belgium. [Diya, Luwis; Lesaffre, Emmanuel] Univ Hasselt, Hasselt, Belgium. [Van den Heede, Koen; Sermeus, Walter] Katholieke Univ Leuven, Ctr Hlth Serv & Nursing Res, Louvain, Belgium. [Lesaffre, Emmanuel] Erasmus MC, Dept Biostat, Rotterdam, Netherlands. luwis.diya@med.kuleuven.be
Keywords: Bayesian analysis; multilevel analysis; nurse staffing; patient safety; posterior predictive checks;Nursing; Bayesian analysis; multilevel analysis; nurse staffing; patient safety; posterior predictive checks
Document URI: http://hdl.handle.net/1942/13610
ISSN: 0309-2402
e-ISSN: 1365-2648
DOI: 10.1111/j.1365-2648.2011.05812.x
ISI #: 000301854100011
Category: A1
Type: Journal Contribution
Validations: ecoom 2013
Appears in Collections:Research publications

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