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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Autores:

Tipo de recurso:

Fecha de publicación:

2017

Institución:

Universidad del Rosario

Repositorio:

Repositorio EdocUR - U. Rosario

Idioma:

eng

OAI Identifier:

oai:repository.urosario.edu.co:10336/22396

Acceso en línea:

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

Palabra clave:

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
Biomedical engineering
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
Biomedical engineering
Hospital personnel
Hospital service
Manpower
Statistical model
Statistics and numerical data
Biomedical Engineering
Cross-Sectional Studies
Humans
Clinical engineering
Human resource planning
Maintenance
Multiple criteria analysis
OR in health services
Hospital
Hospital
Statistical
Maintenance and Engineering
Models
Personnel

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