Literature DB >> 2277253

Models for forecasting hospital bed requirements in the acute sector.

R D Farmer1, J Emami.   

Abstract

STUDY
OBJECTIVE: The aim was to evaluate the current approach to forecasting hospital bed requirements.
DESIGN: The study was a time series and regression analysis. The time series for mean duration of stay for general surgery in the age group 15-44 years (1969-1982) was used in the evaluation of different methods of forecasting future values of mean duration of stay and its subsequent use in the formation of hospital bed requirements.
RESULTS: It has been suggested that the simple trend fitting approach suffers from model specification error and imposes unjustified restrictions on the data. Time series approach (Box-Jenkins method) was shown to be a more appropriate way of modelling the data.
CONCLUSION: The simple trend fitting approach is inferior to the time series approach in modelling hospital bed requirements.

Mesh:

Year:  1990        PMID: 2277253      PMCID: PMC1060675          DOI: 10.1136/jech.44.4.307

Source DB:  PubMed          Journal:  J Epidemiol Community Health        ISSN: 0143-005X            Impact factor:   3.710


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