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Determinants in the number of staff in hospitals' maintenance departments: a multivariate regression analysis approach.

dc.creatorMiguel-Cruz, Antonio
dc.creatorGuarin, Mayra Rspa
dc.date.accessioned2020-06-11T13:20:53Z
dc.date.available2020-06-11T13:20:53Z
dc.date.created2017spa
dc.description.abstractTo date, there are no broadly accepted or accurate models to determine appropriate staffing [levels] for clinical engineering departments (CEDs). The purpose of this study is to determine what the determinants of the staffing levels are (total number of full time equivalents (FTEs)) in CEDs in healthcare organisations. In doing so, we used a cross-sectional exploratory approach by using a multivariate regression model over a secondary source of data information from the AAMI Benchmarking Solutions-Healthcare Technology Management database. Two hundred and one healthcare organisations were included in our study. Our study revealed that on average, there are almost 14 biomedical technicians (BMETs) per clinical engineer and one FTE per 1083.72 devices (SD 545.69). The results of this study also revealed that the total number of devices and the total technology management hours devoted to these devices positively affects the number of FTEs in a CED, whereas the hospital complexity, measured by healthcare organisation patient discharges matters inversely. The most important factor that matters in the number of FTEs in CEDs was the total technology management hours devoted to devices. A value of explained variance (i.e. R2) of 85% was obtained, indicating the strong power of the prediction accuracy of our multivariate regression model.eng
dc.format.mimetypeapplication/pdf
dc.identifier.doihttps://doi.org/10.1080/03091902.2016.1243168
dc.identifier.issn1464-522X
dc.identifier.urihttps://repository.urosario.edu.co/handle/10336/24624
dc.language.isoeng
dc.publisherTaylor & Francisspa
dc.relation.citationEndPage164
dc.relation.citationIssueNo. 2
dc.relation.citationStartPage151
dc.relation.citationTitleJournal of medical engineering & technology
dc.relation.citationVolumeVol. 41
dc.relation.ispartofJournal of medical engineering & technology, ISSN:1464-522X, Vol.41, No.2 (2017); pp. 151-164spa
dc.relation.urihttps://www.tandfonline.com/doi/abs/10.1080/03091902.2016.1243168
dc.rights.accesRightsinfo:eu-repo/semantics/closedAccess
dc.rights.accesoBloqueado (Texto referencial)spa
dc.source.instnameinstname:Universidad del Rosariospa
dc.source.reponamereponame:Repositorio Institucional EdocURspa
dc.subject.keywordMaintenancespa
dc.subject.keywordclinical engineeringspa
dc.subject.keywordhuman resource planningspa
dc.subject.keywordmultiple criteria analysisspa
dc.subject.keywordOR in health servicesspa
dc.titleDeterminants in the number of staff in hospitals' maintenance departments: a multivariate regression analysis approach.spa
dc.title.TranslatedTitleDeterminantes en la cantidad de personal en los departamentos de mantenimiento de los hospitales: un enfoque de análisis de regresión multivariantespa
dc.typearticleeng
dc.type.hasVersioninfo:eu-repo/semantics/publishedVersion
dc.type.spaArtículospa
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