Literature DB >> 20797364

Public hospital bed crisis: too few or too misused?

Ian A Scott1.   

Abstract

* Increasing demand on public hospital beds has led to what many see as a hospital bed crisis requiring substantial increases in bed numbers. By 2050, if current bed use trends persist and as the numbers of frail older patients rise exponentially, a 62% increase in hospital beds will be required to meet expected demand, at a cost almost equal to the entire current Australian healthcare budget. * This article provides an overview of the effectiveness of different strategies for reducing hospital demand that may be viewed as primarily (although not exclusively) targeting the hospital sector - increasing capacity and throughput and reducing readmissions - or the non-hospital sector - facilitating early discharge or reducing presentations and admissions to hospital. Evidence of effectiveness was retrieved from a literature search of randomised trials and observational studies using broad search terms. * The principal findings were as follows: (1) within the hospital sector, throughput could be substantially improved by outsourcing public hospital clinical services to the private sector, undertaking whole-of-hospital reform of care processes and patient flow that address both access and exit block, separating acute from elective beds and services, increasing rates of day-only or short stay admissions, and curtailing ineffective or marginally effective clinical interventions; (2) in regards to the non-hospital sector, potentially the biggest gains in reducing hospital demand will come from improved access to residential care, rehabilitation services, and domiciliary support as patients awaiting such services currently account for 70% of acute hospital bed-days. More widespread use of acute care and advance care planning within residential care facilities and population-based chronic disease management programs can also assist. * This overview concludes that, in reducing hospital bed demand, clinical process redesign within hospitals and capacity enhancement of non-hospital care services and chronic disease management programs are effective strategies that should be considered before investing heavily in creating additional hospital beds devoid of any critical reappraisal of current models of care.

Entities:  

Mesh:

Year:  2010        PMID: 20797364     DOI: 10.1071/AH09821

Source DB:  PubMed          Journal:  Aust Health Rev        ISSN: 0156-5788            Impact factor:   1.990


  10 in total

1.  Determining level of care appropriateness in the patient journey from acute care to rehabilitation.

Authors:  Christopher J Poulos; Christopher Magee; Guy Bashford; Kathy Eagar
Journal:  BMC Health Serv Res       Date:  2011-10-31       Impact factor: 2.655

2.  Exploration of clinicians' decision-making regarding transfer of patient care from the emergency department to a medical assessment unit: A qualitative study.

Authors:  Helen Cleak; Sonya R Osborne; Julian W M de Looze
Journal:  PLoS One       Date:  2022-02-03       Impact factor: 3.240

3.  Asthma length of stay in hospitals in London 2001-2006: demographic, diagnostic and temporal factors.

Authors:  Ireneous N Soyiri; Daniel D Reidpath; Christophe Sarran
Journal:  PLoS One       Date:  2011-11-02       Impact factor: 3.240

4.  Cohort study of a specialist social worker intervention on hospital use for patients at risk of long stay.

Authors:  Sonya Osborne; Gai Harrison; Angela O'Malia; Adrian Gerard Barnett; Hannah E Carter; Nicholas Graves
Journal:  BMJ Open       Date:  2018-12-22       Impact factor: 2.692

5.  Organisational and financial consequences of the early discharge of patients treated for acute bacterial skin and skin structure infection and osteomyelitis in infectious disease departments in Greece, Italy and Spain: a scenario analysis.

Authors:  Umberto Restelli; Marzia Bonfanti; Davide Croce; Santiago Grau; Symeon Metallidis; Santiago Moreno Guillén; Valeria Pacelli; Giuliano Rizzardini; Marco Soro; Athanasios Vozikis; Alastair Gray
Journal:  BMJ Open       Date:  2019-09-12       Impact factor: 2.692

6.  Designing and validating a measuring tool for the factors affecting the distribution of hospitals' intensive care beds in Iran.

Authors:  Nahid Farrokhyar; Khalil Alimohammadzadeh; Ali Maher; Seyed Mojtaba Hosseini; Mohammadkarim Bahadori
Journal:  Med J Islam Repub Iran       Date:  2019-08-05

7.  Exploring the dimensions of patient experience for community-based care programmes in a multi-ethnic Asian context.

Authors:  Chuan De Foo; Yan Lin Tan; Pami Shrestha; Ke Xin Eh; Ian Yi Han Ang; Milawaty Nurjono; Sue-Anne Toh; Farah Shiraz
Journal:  PLoS One       Date:  2020-11-25       Impact factor: 3.240

8.  Targeted rehabilitation may improve patient flow and outcomes: development and implementation of a novel Proactive Rehabilitation Screening (PReS) service.

Authors:  Jane Wu; Olivia Misa; Christine T Shiner; Steven G Faux
Journal:  BMJ Open Qual       Date:  2021-03

9.  Reducing hospital bed use by frail older people: results from a systematic review of the literature.

Authors:  Ian Philp; Karen A Mills; Bhomraj Thanvi; Kris Ghosh; Judith F Long
Journal:  Int J Integr Care       Date:  2013-12-05       Impact factor: 5.120

10.  Primary Care Networks and Starfield's 4Cs: A Case for Enhanced Chronic Disease Management.

Authors:  Chuan De Foo; Shilpa Surendran; Geronimo Jimenez; John Pastor Ansah; David Bruce Matchar; Gerald Choon Huat Koh
Journal:  Int J Environ Res Public Health       Date:  2021-03-12       Impact factor: 3.390

  10 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.