Literature DB >> 20819051

Myths of ideal hospital size.

Rodney P Jones1.   

Abstract

Current methods used to calculate the required size of hospitals are underestimating the true capacity needed for operational efficiency. Trends in occupied bed-days (rather than admissions and length of stay) give better estimates of future bed requirements. Hospital occupancy rates depend on volatility in demand, not efficiency. Larger bed pools and hospitals can operate at higher average occupancy. Cost efficiency should be focusing on staffing based on the patients in the beds and not on the available beds. Hospitals require supporting climatalogical forecasts to allow for seasonal and other climate-related changes in admissions, if flexible staff deployment is to become a reality.

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Year:  2010        PMID: 20819051     DOI: 10.5694/j.1326-5377.2010.tb03912.x

Source DB:  PubMed          Journal:  Med J Aust        ISSN: 0025-729X            Impact factor:   7.738


  8 in total

1.  Acute hospital dementia care: results from a national audit.

Authors:  Suzanne Timmons; Emma O'Shea; Desmond O'Neill; Paul Gallagher; Anna de Siún; Denise McArdle; Patricia Gibbons; Sean Kennelly
Journal:  BMC Geriatr       Date:  2016-05-31       Impact factor: 3.921

Review 2.  Complementarity of Clinician Judgment and Evidence Based Models in Medical Decision Making: Antecedents, Prospects, and Challenges.

Authors:  Zhou Lulin; Ethel Yiranbon; Henry Asante Antwi
Journal:  Biomed Res Int       Date:  2016-08-24       Impact factor: 3.411

3.  Impact of disinvestment from weekend allied health services across acute medical and surgical wards: 2 stepped-wedge cluster randomised controlled trials.

Authors:  Terry P Haines; Kelly-Ann Bowles; Deb Mitchell; Lisa O'Brien; Donna Markham; Samantha Plumb; Kerry May; Kathleen Philip; Romi Haas; Mitchell N Sarkies; Marcelle Ghaly; Melina Shackell; Timothy Chiu; Steven McPhail; Fiona McDermott; Elizabeth H Skinner
Journal:  PLoS Med       Date:  2017-10-31       Impact factor: 11.069

4.  Expert Arguments for Trends of Psychiatric Bed Numbers: A Systematic Review of Qualitative Data.

Authors:  Adrian P Mundt; Sabine Delhey Langerfeldt; Enzo Rozas Serri; Mathias Siebenförcher; Stefan Priebe
Journal:  Front Psychiatry       Date:  2021-12-24       Impact factor: 5.435

5.  A Model to Compare International Hospital Bed Numbers, including a Case Study on the Role of Indigenous People on Acute 'Occupied' Bed Demand in Australian States.

Authors:  Rodney P Jones
Journal:  Int J Environ Res Public Health       Date:  2022-09-07       Impact factor: 4.614

6.  Potential Savings in DHW Facilities through the Use of Solar Thermal Energy in the Hospitals of Extremadura (Spain).

Authors:  Gonzalo Sánchez-Barroso; Jaime González-Domínguez; Justo García-Sanz-Calcedo
Journal:  Int J Environ Res Public Health       Date:  2020-04-13       Impact factor: 3.390

7.  COVID-19 and paediatric health services: A survey of paediatric physicians in Australia and New Zealand.

Authors:  David A Foley; Michael Kirk; Catherine Jepp; Sam Brophy-Williams; Steven Y C Tong; Joshua S Davis; Christopher C Blyth; Matthew P O'Brien; Asha C Bowen; Daniel K Yeoh
Journal:  J Paediatr Child Health       Date:  2020-05-04       Impact factor: 1.929

8.  Models and methods for determining the optimal number of beds in hospitals and regions: a systematic scoping review.

Authors:  Hamid Ravaghi; Saeide Alidoost; Russell Mannion; Victoria D Bélorgeot
Journal:  BMC Health Serv Res       Date:  2020-03-06       Impact factor: 2.655

  8 in total

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