Free Standard AU & NZ Shipping For All Book Orders Over $80!
Register      Login
Australian Health Review Australian Health Review Society
Journal of the Australian Healthcare & Hospitals Association
RESEARCH ARTICLE

The effect of context on performance of an acute medical unit: experience from an Australian tertiary hospital

Belinda Suthers A B , Robert Pickles A B , Michael Boyle A B , Kichu Nair A B , Justyn Cook A and John Attia A B C D
+ Author Affiliations
- Author Affiliations

A Department of Medicine, John Hunter Hospital, Lookout Road, New Lambton, NSW 2305, Australia. Email: belinda.suthers@hnehealth.nsw.gov.au, robert.pickles@hnehealth.nsw.gov.au, michael.boyle@hnehealth.nsw.gov.au, kichu.nair@newcastle.edu.au, justyn.cook@hnehealth.nsw.gov.au

B School of Medicine and Public Health, Faculty of Health, University of Newcastle, Newcastle, NSW 2300, Australia.

C Hunter Medical Research Institute, New Lambton, NSW 2305, Australia.

D Corresponding author. Email: john.attia@newcastle.edu.au

Australian Health Review 36(3) 320-324 https://doi.org/10.1071/AH11056
Submitted: 8 June 2011  Accepted: 22 December 2011   Published: 23 July 2012

Abstract

Objective. To ascertain the improvements in length of stay and discharge rates following the opening of an acute medical unit (AMU).

Methods. Retrospective cohort study of all patients admitted under general medicine from June–November 2008. Main outcome measures were length of stay in hospital and in the emergency department (ED).

Results. The length of time spent in the emergency department for those admitted to the AMU was significantly shorter than those admitted directly to a medical ward (6.83 h v. 9.40 h, P < 0.0001). A trend towards shorter hospital length of stay continued after the AMU opened compared with the same period in the previous year (5.15 days (2.49, 11.57 CI) v. 5.66 days (2.76, 11.52 CI)). However, the number of ward transfers for a patient and the need to wait for a nursing home bed or public rehabilitation affected length of stay much more than the AMU.

Conclusion. An AMU was successful in decreasing ED length of stay and contributed to decreasing hospital length of stay. However, we suggest that local context is crucially important in tailoring an AMU to obtain maximal benefit, and that AMUs are not a ‘one size fits all’ solution.

What is known about the topic? Acute Medical Units were pioneered in the UK and have been shown to decrease length of stay with no increase in adverse events. As a result, they have been enthusiastically adopted in Australia. However, most studies have been single point ‘before/after’ designs looking at all medical patients, and there has been little consideration of the context in which AMUs operate and how this might affect their performance.

What does this paper add? We consider length of stay trends over many years and separate single organ disease from multi-system disease patients, in order to ensure that gains are not simply a result of selective entry of healthier patients into AMUs. We also show that the effect of an AMU is small compared with other systemic issues, such as waiting for nursing home placement and the number of transfers of care.

What are the implications for practitioners? Although there may be gains in terms of length of stay in the emergency department, those considering the establishment of an AMU need to consider other factors that may mitigate the improvements in hospital length of stay, such as the roadblocks to discharge, the organisation of allied health staff, and the number of transfers of care.


References

[1]  Australian Bureau of Statistics. National health survey: summary of results. Australia 2004–05; cat. no. 4364.0. Canberra: Australian Bureau of Statistics; 2006.

[2]  Australian Institute of Health and Welfare. Australia’s health 2008, AIHW cat. no. AUS 99. Canberra: Australian Institute of Health and Welfare; 2008.

[3]  Moloney ED, Bennett K, Silke B. Effect of an acute medical admission unit on key quality indicators assessed by funnel plots. Postgrad Med J 2007; 83 659–63.
Effect of an acute medical admission unit on key quality indicators assessed by funnel plots.Crossref | GoogleScholarGoogle Scholar | 17916876PubMed |

[4]  Moloney ED, Smith D, Bennett K, O’Riordan D, Silke B. Impact of an acute medical admission unit on length of hospital stay and emergency department ‘wait times’. Q J Med 2005; 98 283–9.
Impact of an acute medical admission unit on length of hospital stay and emergency department ‘wait times’.Crossref | GoogleScholarGoogle Scholar | 1:STN:280:DC%2BD2M7psVGmsw%3D%3D&md5=2dccd82ae84567d372433e3b8e578f89CAS |

[5]  Rooney T, Moloney ED, Bennett K, O’Riordan D, Silke B. Impact of an acute medical admission unit on hospital mortality: a 5-year prospective study. Q J Med 2008; 101 457–465.
| 1:STN:280:DC%2BD1czjt12ktg%3D%3D&md5=f3659da461a94382f71c3d9e28fafd10CAS |

[6]  Moloney ED, Bennett K, O’Riordan D, Silke B. Emergency department census of patients awaiting admission following reorganisation of an admissions process. Emerg Med J 2006; 23 363–7.
Emergency department census of patients awaiting admission following reorganisation of an admissions process.Crossref | GoogleScholarGoogle Scholar | 1:STN:280:DC%2BD283ivFOquw%3D%3D&md5=bda444c1512e88aa689effb2fd755d8aCAS | 16627837PubMed |

[7]  Armitage M, Raza T. A consultant physician in acute medicine: the Bournemouth model for managing increasing numbers of medical emergency admissions. Clin Med (Northfield IL) 2002; 2 331–3.

[8]  Downing H, Scott C, Kelly C. Evaluation of a dedicated short-stay unit for acute medical admissions. Clin Med 2008; 8 18–20.
| 18335661PubMed |

[9]  Henley J, Bennett C, Williamson J, Scott I. Position statement of the Internal Medicine Society of Australia and New Zealand: standards for medical assessment and planning units in public and private hospitals. Sydney: IMSANZ 2006.

[10]  NSW Health. Hope program. Medical Assessment Units (MAU) operations user guide. Sydney: NSW Health. Available at http://www.archi.net.au/documents/resources/models/mau/mau-operationalguide.pdf

[11]  Australian Bureau of Statistics. Socio-economic indexes for area (SEIFA), Postal Area, Datacube only: Excel spreadsheet, Cat. No.2033.0.55.001. Canberra: Australian Bureau of Statistics; 2006. Available at www.abs.gov.au/AUSSTATS/abs@.nsf/DetaildsPage/2033.0.55.001?OpenDoocument [verified 19 May 2008].

[12]  Charlson ME, Pompei P, Ales KL, MacKenzie CR. A new method of classifying prognostic co-morbidity in longitudinal studies: development and validation. J Chronic Dis 1987; 40 373–83.
A new method of classifying prognostic co-morbidity in longitudinal studies: development and validation.Crossref | GoogleScholarGoogle Scholar | 1:STN:280:DyaL2s7ms1GnsQ%3D%3D&md5=4f4016ca61ed23d36a314bcbb0593b5fCAS | 3558716PubMed |