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

To 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 healt...

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Detalles Bibliográficos
Autores Principales: Miguel Cruz A., Guarín M.R.
Formato: Artículo (Article)
Lenguaje:Inglés (English)
Publicado: Taylor and Francis Ltd 2017
Materias:
Biomedical engineering
Health care
Hospitals
Industrial management
Maintenance
Multivariant analysis
Personnel selection
Clinical engineering
Healthcare organisations
Healthcare technology managements
Human resource planning
Maintenance departments
Multivariate regression analysis
Multivariate regression models
OR in health services
Regression analysis
Article
Benchmarking
Bivariate analysis
Computer assisted tomography
Controlled study
Cross-sectional study
Health care organization
Health service
Hospital discharge
Hospital personnel
Human
Independent variable
Medical information
Multivariate logistic regression analysis
Priority journal
Radiotherapy
Sample size
Hospital service
Manpower
Statistical model
Statistics and numerical data
Biomedical Engineering
Cross-Sectional Studies
Humans
Multiple criteria analysis
Hospital
Statistical
Maintenance and Engineering
Models
Personnel
Acceso en línea:https://repository.urosario.edu.co/handle/10336/22396
https://doi.org/10.1080/03091902.2016.1243168

Internet

https://repository.urosario.edu.co/handle/10336/22396
https://doi.org/10.1080/03091902.2016.1243168

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