Literature DB >> 3147746

How many beds? Helping consultants to estimate their requirements.

D St George1.   

Abstract

Two studies were carried out in different districts with clinicians who were concerned about the proposed numbers of beds to be provided based on regional targets and assessments. It was found that summary statistics can obscure wide variations over time in the demand for services. Providing beds according to average demand can therefore create a shortage of beds for a large part of the year. It is argued that the norms and targets set by regions should be seen as a starting point for negotiations rather than as the definitive answer for setting the levels of services provided. Because of their particular circumstances certain districts may need to provide more than the levels set by the region, and clinicians and community physicians can work together to provide evidence for this.

Mesh:

Year:  1988        PMID: 3147746      PMCID: PMC1834103          DOI: 10.1136/bmj.297.6650.729

Source DB:  PubMed          Journal:  BMJ        ISSN: 0959-8138


  4 in total

1.  Choice of models for the analysis and forecasting of hospital beds.

Authors:  Mark Mackay; Michael Lee
Journal:  Health Care Manag Sci       Date:  2005-08

2.  Computerised administration in an intensive care unit. Experience with a personal computer system.

Authors:  R J Marks; C Morgan; G Duce
Journal:  Ann R Coll Surg Engl       Date:  1989-11       Impact factor: 1.891

3.  Arranging hospital admission for acutely ill patients: problems encountered by general practitioners.

Authors:  C Jenkins; J Bartholomew; F Gelder; D Morrell
Journal:  Br J Gen Pract       Date:  1994-06       Impact factor: 5.386

4.  Paediatric use of intensive care.

Authors:  P W Barry; M D Hocking
Journal:  Arch Dis Child       Date:  1994-05       Impact factor: 3.791

  4 in total

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