Hospital bed-occupancy rates have been proposed as a measure that reflects the ability of a hospital to properly care for patients. Whether this measure can be considered useful in guiding the planning and operational management of hospital beds in a way that improves how well patients fare while in hospital depends on the answers to two questions. Firstly, does the bed-occupancy rate influence patient outcomes? And secondly, what would be an appropriate level of occupancy to aspire to?
The Australian Medical Association,1 Irish Medical Organisation2 and the Australasian College for Emergency Medicine3 consider bed-occupancy rates above 85% to have a negative impact on the safe and efficient operation of a hospital. In the United Kingdom, the Department of Health has found that bed-occupancy rates exceeding 85% in acute care hospitals are associated with problems in handling both emergency and elective admissions.4 A target bed-occupancy rate for UK hospitals of 82% has been instituted as one measure of quality. Recently, the Australian Government has included bed-occupancy rates as a hospital performance measure for the planned national health and hospitals network.5
There are a number of known factors from different lines of evidence that support the use of bed occupancy as an operational target and measure of quality. These include the risk of cross-infection between inpatients in overcrowded wards and the need for timely admission to an appropriate ward of patients presenting to emergency departments (EDs) or for booked surgery. Staff welfare may also be adversely affected by high bed-occupancy rates.
Most reports concerning inpatient cross-infection consider the spread of methicillin-resistant Staphylococcus aureus in hospitals, and this has been shown to correlate with bed-occupancy rates (Box 1).6-10 The UK House of Commons Committee of Public Accounts has “repeatedly noted that high levels of bed occupancy are not consistent with good control of infections”.11 Hospital overcrowding (high bed occupancy) contributes significantly to the rate of hospital-acquired infections, and hand-hygiene compliance falls as the indications for hand washing increase during periods of understaffing and high workload.12
The influence of hospital bed occupancy on outcomes for patients presenting to EDs across a number of Western countries is outlined in Box 2.13-18
In the UK during 1997–98, average bed-occupancy levels varied between around 50% and 99%.19 However, most National Health Service (NHS) acute trusts reported periods during which inpatient bed demand exceeded availability. At those times, emergency patients were more likely than usual to be assessed and have treatment initiated in EDs before moving to an inpatient ward. Furthermore, those hospitals with higher average bed-occupancy rates cancelled a significantly higher proportion of elective operations and had longer delays in the transfer of patients from the ED to inpatient beds. It was acknowledged that “hospitals with average occupancy levels above 85 per cent can expect to have regular bed shortages and periodic bed crises”.19 It has been suggested that reducing bed-occupancy rates below a “threshold” level should reduce excessive waiting times in EDs.13
Observations made within the NHS have been used to develop a discrete-event stochastic simulation model to study the relationship between demand and available hospital bed capacity.20 This model suggests that there is a discernible risk of a hospital failing to provide sufficient beds, and thereby safe, efficient care, when average bed occupancies exceed 85%. A hospital with an average bed occupancy of 85% would be expected to “be short of beds for admissions on four days in a year”, with disruption of normal function of up to 8 weeks. The authors concluded that “spare [bed] capacity is essential if an emergency admissions service is to operate efficiently and at a level of risk acceptable to patients”. In 2005, the average hospital bed-occupancy rate was shown to be 84% in the UK compared with 64% in the Netherlands, with the same number of acute beds per head of population in both countries. In the Netherlands, where, notably, nursing home patients have access to care that avoids the need for admission in an acute facility, admission decisions were not affected by bed pressures.11
Bed-occupancy rates do seem to influence ED performance in New South Wales. Based on published hospital performance data,21 there is a significant negative association between bed-occupancy rates and ED admission performance (r = − 0.48; P = 0.03) in the 20 largest general public hospitals with EDs. It is also notable that there is no correlation between bed-occupancy rates and cancelled surgical bed-days (P = 0.54).
Risks to staff resulting from hospital overcrowding are equally concerning. Risk of hospital-acquired infection is not restricted to patients. Staff mental health may also be impacted by overcrowding. A significant association has been shown between high hospital bed-occupancy rates and the initiation of antidepressant therapy among nursing and medical staff at 16 Finnish hospitals.22 In this study, occupancy rates above 85% represented exposure to excess bed occupancy. A trend of increasing antidepressant use corresponded to occupancy levels above 85%, and became significant at occupancy rates more than 10 percentage points in excess of this level (hazard ratio, 1.7). There was a significant dose–response-type pattern to the association (P = 0.013). Excess bed occupancy was more common in internal medicine than in surgical wards.
It appears that hospital bed-occupancy rates are a measure of hospital performance — but what level is optimal? Bain et al23 argue that the application of a single level of “ideal or safe occupancy” oversimplifies the modelling of hospital throughput. They call for further study to gain a better understanding of the processes involved in the generation of long waiting lists and access block. Their logic is sound in relation to that aspect of the bed-occupancy debate, but the literature shows that patient movements into and through a hospital are not the only events influenced by bed occupancy.
Overall, there is sufficient evidence to support the contention that bed-occupancy rates provide a useful measure of a hospital’s ability to provide high-quality patient care. An 85% target is a reasonable starting point that may need to change over time and between facilities. However, before we can make significant advances in improving patient outcomes there must be a shift away from the reliance on administrative and process measures, such as length of stay and waiting lists, currently in use as proxy indicators of efficiency and quality. There are very few true patient outcome measures available to assess the function of the health care system. We have much to do just to establish and validate such measures, and, until we do, we are dependent on best-guess (albeit rough-guess) processes. We are incapable of measuring what we really need to know, and, even if we could, we are constrained by a system that probably could not respond. Proper quality improvement would require monitoring and appropriate adjustment of the provision of health services. Political, community and personal patient preferences and expectations make this all the more difficult.
1 Effect of hospital bed-occupancy rate on methicillin-resistant Staphylococcus aureus (MRSA) infection rates
Northern Ireland6 |
Related to bed-occupancy rate and inpatient bed turnover interval. |
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United Kingdom7 |
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UK8 |
Related to bed-occupancy rate. Additional ward beds related to increased infection rate, even with increased staffing. |
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Malta9 |
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UK10 |
Related to bed-occupancy rate. 10.3% increase in infection rate for occupancy > 90% compared with infection rate at 84% occupancy. |
2 Effect of hospital bed-occupancy rate on patients presenting to the emergency department
England13 |
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Canada14 |
Increased AB, especially with bed-occupancy rate above 90%. Delay in patients reaching an appropriate inpatient bed. |
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Australia15 |
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Australia16 |
Increased AB, especially with bed-occupancy rate above 90%. Bed-occupancy rate did not affect consultation and admission rates. |
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Australia17 |
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United States18 |
Bed-occupancy rates above 80% progressively delayed discharge and admission to a ward. |
- Andrew D Keegan1,2
- 1 Sydney Medical School, University of Sydney, Sydney, NSW.
- 2 Nepean Hospital, Sydney, NSW.
I am a board member of the Australian Medical Association (NSW).
- 1. Australian Medical Association. Quality and safety in public hospitals — 2006. Canberra: AMA, 2006. http://www.ama.com.au/node/2540 (accessed Apr 2010).
- 2. Irish Medical Organisation. Position statement on acute hospital bed capacity (March 2005). Dublin: IMO, 2005.
- 3. Forero R, Hillman K. Access block and overcrowding: a literature review. Prepared for the Australasian College for Emergency Medicine. Sydney: Simpson Centre for Health Services Research, South Western Sydney Clinical School, University of New South Wales, 2008.
- 4. Department of Health (UK). Shaping the future NHS: long term planning for hospitals and related services. Consultation document on the findings of the national beds inquiry. London: Department of Health, 2000.
- 5. Australian Government Department of Health and Ageing. A national health and hospitals network for Australia’s future. Canberra: Commonwealth of Australia, 2010. http://www.yourhealth.gov.au/internet/yourhealth/publishing.nsf/Content/nhhn-report-toc/$FILE/NHHN%20-%20Full%20report.pdf (accessed Jul 2010).
- 6. JB Cunningham, WG Kernohan, R Sowney. Bed occupancy and turnover interval as determinant factors in MRSA infections in acute settings in Northern Ireland: 1 April 2001 to 31 March 2003. J Hosp Infect 2005; 61: 189-193.
- 7. MA Borg. Bed occupancy and overcrowding as determinant factors in the incidence of MRSA infections within general ward settings. J Hosp Infect 2003; 54: 316-318.
- 8. CC Kibbler, A Quick, AM O’Neill. The effect of increased bed numbers on MRSA transmission in acute medical wards. J Hosp Infect 1998; 39: 213-219.
- 9. Borg MA, Suda D, Scicluna E. Time-series analysis of the impact of bed occupancy rates on the incidence of methicillin-resistant Staphylococcus aureus infection in overcrowded general wards. Infect Control Hosp Epidemiol 2008; 29: 496-502.
- 10. Department of Health (UK). Hospital organisation, specialty mix and MRSA. London: DoH, 2007. http://www.dh.gov.uk/prod_consum_dh/groups/dh_digitalassets/@dh/@en/documents/digitalasset/dh_081292.pdf (accessed Jul 2010).
- 11. Orendi J. Health-care organisation, hospital-bed occupancy, and MRSA. Lancet 2008; 371: 1401-1402.
- 12. Clements A, Halton K, Graves N, et al. Overcrowding and understaffing in modern health-care systems: key determinants in meticillin-resistant Staphylococcus aureus transmission. Lancet Infect Dis 2008; 8: 427–434.
- 13. Cooke MW, Wilson S, Halsall J, Roalfe A. Total time in English accident and emergency departments is related to bed occupancy. Emerg Med J 2004; 21: 575-576.
- 14. Forster AJ, Stiell I, Wells G, et al. The effect of hospital occupancy on emergency department length of stay and patient disposition. Acad Emerg Med 2003; 10: 127-133.
- 15. Richardson DB. The access-block effect: relationship between delay to reaching an inpatient bed and inpatient length of stay. Med J Aust 2002; 177: 492-495. <MJA full text>
- 16. Sprivulis PC, Da Silva JA, Jacobs IG, et al. The association between hospital overcrowding and mortality among patients admitted via Western Australian emergency departments. Med J Aust 2006; 184: 208-212. <MJA full text>
- 17. Richardson D. Increase in patient mortality at 10 days associated with emergency department overcrowding. Med J Aust 2006; 184: 213-216. <MJA full text>
- 18. Hillier DF, Parry GJ, Shannon MW, Stack AM. The effect of hospital bed occupancy on throughput in the pediatric emergency department. Ann Emerg Med 2009; 53: 767-776.e3. Epub 2009 Feb 28.
- 19. Comptroller and Auditor General (UK). Inpatient admissions and bed management in NHS acute hospitals. London: NHS Executive, 2000.
- 20. Bagust A, Place M, Posnett J. Dynamics of bed use in accommodating emergency admissions: stochastic simulation model. BMJ 1999; 319: 155-158.
- 21. NSW health services comparison data book 2007/2008 (volume 1). Sydney: NSW Health, 2009.
- 22. Virtanen M, Pentti J, Vahtera J, et al. Overcrowding in hospital wards as a predictor of antidepressant treatment among hospital staff. Am J Psychiatry 2008; 165: 1482-1486.
- 23. Bain CA, Taylor PG, MacDonnell G, Georgiou A. Myths of ideal hospital occupancy. Med J Aust 2010; 192: 42-43. <MJA full text>
Abstract
Timely access to safe hospital care remains a major concern. Target bed-occupancy rates have been proposed as a measure of the ability of a hospital to function safely and effectively.
High bed-occupancy rates have been shown to be associated with greater risks of hospital-associated infection and access block and to have a negative impact on staff health.
Clinical observational data have suggested that bed occupancies above 85% could adversely affect safe, effective hospital function. Using this figure, at least initially, would be of value in the planning and operational management of public hospital beds in Australia.
There is an urgent need to develop meaningful outcome measures of patient care that could replace the process measures currently in use.