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dc.contributor.authorKjekshus, Lars Erikeng
dc.contributor.authorBernstrøm, Vilde Hoffeng
dc.contributor.authorDahl, Espeneng
dc.contributor.authorLorentzen, Thomaseng
dc.date.accessioned2015-01-30T13:35:07Z
dc.date.available2015-01-30T13:35:07Z
dc.date.issued2014-02-03eng
dc.identifier.issn1472-6963
dc.identifier.urihttps://hdl.handle.net/1956/9311
dc.description.abstractBackground: Hospitals are merging to become more cost-effective. Mergers are often complex and difficult processes with variable outcomes. The aim of this study was to analyze the effect of mergers on long-term sickness absence among hospital employees. Methods: Long-term sickness absence was analyzed among hospital employees (N = 107 209) in 57 hospitals involved in 23 mergers in Norway between 2000 and 2009. Variation in long-term sickness absence was explained through a fixed effects multivariate regression analysis using panel data with years-since-merger as the independent variable. Results: We found a significant but modest effect of mergers on long-term sickness absence in the year of the merger, and in years 2, 3 and 4; analyzed by gender there was a significant effect for women, also for these years, but only in year 4 for men. However, men are less represented among the hospital workforce; this could explain the lack of significance. Conclusions: Mergers has a significant effect on employee health that should be taken into consideration when deciding to merge hospitals. This study illustrates the importance of analyzing the effects of mergers over several years and the need for more detailed analyses of merger processes and of the changes that may occur as a result of such mergers.en_US
dc.language.isoengeng
dc.publisherBioMed Centraleng
dc.rightsAttribution CC BYeng
dc.rights.urihttp://creativecommons.org/licenses/by/2.0eng
dc.subjectMergereng
dc.subjectOrganizational changeeng
dc.subjectHospitaleng
dc.subjectSickness absenceeng
dc.subjectPanel dataeng
dc.titleThe effect of hospital mergers on long-term sickness absence among hospital employees: a fixed effects multivariate regression analysis using panel dataeng
dc.typePeer revieweden_US
dc.typeJournal articleen_US
dc.date.updated2014-02-12T15:52:15Z
dc.description.versionpublishedVersion
dc.rights.holderLars Erik Kjekshus et al.; licensee BioMed Central Ltd.en_US
dc.rights.holderCopyright 2014 Kjekshus et al.; licensee BioMed Central Ltden_US
dc.source.articlenumber50
dc.identifier.doihttps://doi.org/10.1186/1472-6963-14-50
dc.identifier.cristin1108873
dc.source.journalBMC Health Services Research
dc.source.4014


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