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Addressing the Knowledge Deficit in Hospital Bed Planning and Defining an Optimum Region for the Number of Different Types of Hospital Beds in an Effective Health Care System

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  • Rodney P. Jones

    (Healthcare Analysis & Forecasting, Wantage OX12 0NE, UK)

Abstract

Based upon 30-years of research by the author, a new approach to hospital bed planning and international benchmarking is proposed. The number of hospital beds per 1000 people is commonly used to compare international bed numbers. This method is flawed because it does not consider population age structure or the effect of nearness-to-death on hospital utilization. Deaths are also serving as a proxy for wider bed demand arising from undetected outbreaks of 3000 species of human pathogens. To remedy this problem, a new approach to bed modeling has been developed that plots beds per 1000 deaths against deaths per 1000 population. Lines of equivalence can be drawn on the plot to delineate countries with a higher or lower bed supply. This method is extended to attempt to define the optimum region for bed supply in an effective health care system. England is used as an example of a health system descending into operational chaos due to too few beds and manpower. The former Soviet bloc countries represent a health system overly dependent on hospital beds. Several countries also show evidence of overutilization of hospital beds. The new method is used to define a potential range for bed supply and manpower where the most effective health systems currently reside. The method is applied to total curative beds, medical beds, psychiatric beds, critical care, geriatric care, etc., and can also be used to compare different types of healthcare staff, i.e., nurses, physicians, and surgeons. Issues surrounding the optimum hospital size and the optimum average occupancy will also be discussed. The role of poor policy in the English NHS is used to show how the NHS has been led into a bed crisis. The method is also extended beyond international benchmarking to illustrate how it can be applied at a local or regional level in the process of long-term bed planning. Issues regarding the volatility in hospital admissions are also addressed to explain the need for surge capacity and why an adequate average bed occupancy margin is required for an optimally functioning hospital.

Suggested Citation

  • Rodney P. Jones, 2023. "Addressing the Knowledge Deficit in Hospital Bed Planning and Defining an Optimum Region for the Number of Different Types of Hospital Beds in an Effective Health Care System," IJERPH, MDPI, vol. 20(24), pages 1-36, December.
    • Handle: RePEc:gam:jijerp:v:20:y:2023:i:24:p:7171-:d:1298867
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    References listed on IDEAS

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    4. repec:cup:bracjl:v:24:y:2019:i::p:-_10 is not listed on IDEAS
    5. Mark Hellowell & Allyson M. Pollock, 2007. "New Development: The PFI: Scotland's Plan for Expansion and its Implications," Public Money & Management, Taylor & Francis Journals, vol. 27(5), pages 351-354, November.
    6. Christopher G. Hudson, 2021. "Benchmarks for Needed Psychiatric Beds for the United States: A Test of a Predictive Analytics Model," IJERPH, MDPI, vol. 18(22), pages 1-16, November.
    7. Grout, Paul A, 1997. "The Economics of the Private Finance Initiative," Oxford Review of Economic Policy, Oxford University Press and Oxford Review of Economic Policy Limited, vol. 13(4), pages 53-66, Winter.
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    1. Rodney P. Jones, 2024. "A New Approach for Understanding International Hospital Bed Numbers and Application to Local Area Bed Demand and Capacity Planning," IJERPH, MDPI, vol. 21(8), pages 1-30, August.

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