Addressing overestimation and insensitivity in the 85% target for average bed occupancy

Author:

Pratt Adrian C1,Wood Richard M12ORCID

Affiliation:

1. Modelling and Analytics, UK National Health Service, BNSSG CCG, South Plaza, Marlborough Street, Bristol BS1 3NX, UK

2. School of Management, University of Bath, Claverton Down, Bath BA2 7AY, UK

Abstract

Abstract Background An established finding suggests that, in balancing variability in patient demand and length of stay, an average bed occupancy of 85% should be targeted for acute hospital wards. The notion is that higher figures result in excessive capacity breaches, while anything lower fails to make economic use of available resources. Although concerns have previously been raised regarding the generic use of the 85% target, there has been little research interest into alternative derivations that may better represent the diverse range of conditions that exist in practice. Objective To quantify a continuum of average occupancy targets for use within the acute hospital setting. Methods Computer simulation is used to model the process of acute patient admission and discharge. Patient arrivals are assumed to be independent of one another (i.e. random) with length of stay distributions obtained through fitting to patient-level data from all of England. Results Target average occupancy increases with ward size, ranging from 45% to 79% for a relatively small 15-bed ward to 64–84% for a relatively large 50-bed ward. Regarding ward speciality, for a typical 25-bed ward, values range from 57–58% for Gynaecology to 67–74% for Adult Mental Health. These increase to 62–63% and 75–82%, respectively, if the tolerance on breaching capacity is relaxed from 2% to 5% of days per year. Conclusion An unconditional 85% target serves as an overestimate across the vast majority of settings that typically exist in practice. Hospital planners should consider ward size, speciality and capacity-breach tolerance in determining a more sensitive assessment of bed occupancy requirements. This study provides hospital planners with a means to reliably assess the operational performance and readily calculate optimal capacity requirements.

Publisher

Oxford University Press (OUP)

Subject

Public Health, Environmental and Occupational Health,Health Policy,General Medicine

Reference30 articles.

1. Emergency department crowding: a systematic review of causes, consequences and solutions;Morley;PLoS One,2018

2. Waiting for a stroke bed: planning stroke unit capacity using queuing theory;Boulton;Int J Healthc Manag,2016

3. Trolley waits in England rise sixfold in six years, show latest figures;Hawkes;BMJ,2017

4. Modelling variability in hospital bed occupancy;Harrison;Health Care Manag Sci,2005

5. Dynamics of bed use in accommodating emergency admissions: stochastic simulation model;Bagust;BMJ,1999

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3