Length of stay benchmarking in the Australian private hospital sector

Hanning, Brian W T

doi:10.1071/ah070150

Cited by 8 publications

(11 citation statements)

References 4 publications

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“…Likewise, for the ALOS indicator the consensus exercise suggested that a conservative approach keeping the benchmark and the minimum effort equivalent because of limits on case mix adjustment around ALOS. This is a conservative approach given that different authors have used more aggressive approaches [21,28,29].…”

Section: Methodsmentioning

confidence: 99%

Disinvestment for re-allocation: A process to identify priorities in healthcare

2010

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Resource scarcity and increasing service demand lead health systems to cope with choices within constrained budgets. The aim of the paper is to describe the study carried out in the Tuscan Health System in Italy on how to set priorities in the disinvestment process for re-allocation. The analysis was based on 2007 data benchmarking of the Tuscan Health System with an impact on the level of resources used. For each indicator, the first step was to estimate the gap between the performance of each Health Authority (HA) and the best performance or the regional average. The second step was to measure this gap in terms of financial value. The results of the analysis demonstrated that, at the regional level, 2-7% of the healthcare budget can be re-allocated if all the institutions achieve the regional average or the best practice. The implications of this study can be useful for policy makers and the HA top management. In the context of resource scarcity, it allows managers to identify the areas where the institutions can achieve a higher level of efficiency without negative effects on quality of care and instead re-allocate resources toward services with more value for patients.

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Section: Methodsmentioning

confidence: 99%

Disinvestment for re-allocation: A process to identify priorities in healthcare

2010

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“…Using a sample of government-owned hospitals in Taiwan, Chang (1998) used DEA with regression analysis and reported that the scope of services provided and the proportion of veterans served are negatively and significantly associated with efficiency. More recent studies use more sophisticated techniques to improve efficiency measures by: comparing the relative efficiency of religious non-profit hospitals (Harrison and Sexton 2006); measuring efficiency in the presence of stochastic demand for hospital services (Smet 2007); and using length of stay benchmarking to measure efficiency (Hanning 2007).…”

Section: Performance Researchmentioning

confidence: 99%

“…The literature on performance measurement indicates that there are broad research perspectives on the factors that affect performance outcomes and the methodologies that can be used to measure these relationships (Hanning 2007;Updaw 1987). A selected overview of key papers on performance research in health care is presented in Table 4.…”

Section: Performance Researchmentioning

confidence: 99%

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A review and synthesis of demand management, capacity management and performance in health‐care services

Jack

Powers

2009

Int J Management Reviews

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Responses to demand uncertainty in the field of health-care services is a very timely research issue because of ongoing changes in demand patterns that are driven by demographics and recent changes in the delivery of these services. Despite its importance to researchers, the literature on demand management, capacity management and performance in health care has not been extensively reviewed. The present paper addresses this need by analyzing and synthesizing 463 articles published between 1986 and 2006. The key contributions of this work are the analysis and synthesis of research on demand management, capacity management and performance, along with an agenda to guide future research in this important area.

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“…Studies have confirmed that duration of hospital stay is regarded as an indicator of efficiency. [1][2][3][4] For low dependency inpatients, a long hospital stay may imply ineffective treatment, which increases healthcare expenditure. Theoretically, reducing duration of stay may increase the capacity of available hospital beds and the admissions of new inpatients.…”

Section: Introductionmentioning

confidence: 99%

What makes the hospitalisation system more efficient? An application of the decomposition method to Hong Kong morbidity data

et al. 2014

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ObjectiveTo examine the efficiency of the Hong Kong hospitalisation system based on hospitalisation days.DesignRetrospective study.SettingHospitalisation data (2000–2010) for all government-funded hospitals in Hong Kong.PopulationHospitalisation data for the entire Hong Kong population (7.0 million in 2011).MethodsA decomposition method was used to determine the effects on total hospitalisation days during the period 2000–2010 of the following three factors: (i) hospitalisation rate per person; (ii) the number of visits per patient; and (iii) the mean duration of stay per visit.Main outcome measuresThe decomposition method provides empirical measures of how the three factors contributed to the change in total hospitalisation days during the period 2000–2010 and identifies the most effective way to contain increases in hospitalisation days.ResultsThe results of decomposition analysis show that the decrease in mean duration of stay per visit (reducing from 6.83 to 4.58 days) is the most important factor in the reduction in the total number of hospitalisation days, despite increases in total population size (from 6.7 to 7.0 million), the number of individual hospital admissions (from 583 000 to 664 000) and the number of episodes (from 1.2 to 1.4 million) from 2000 to 2010. Hospitalisation days per person decreased from 1.18 in 2000 to 0.93 in 2010. The decline in the mean duration of stay per visit contributed 200.6% to this reduction but was offset by −51.1% due to a slight growth in the number of visits per patient and by −49.4% as a result of changed hospitalisation rates per person.ConclusionsBetter management of the duration of stay of per visit without compromising patient satisfaction levels or the quality of service is the most important factor for controlling increases in health expenditure in Hong Kong.

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Length of stay benchmarking in the Australian private hospital sector

Abstract: Length of stay (LOS)

Cited by 8 publications

References 4 publications

Disinvestment for re-allocation: A process to identify priorities in healthcare

Disinvestment for re-allocation: A process to identify priorities in healthcare

A review and synthesis of demand management, capacity management and performance in health‐care services

What makes the hospitalisation system more efficient? An application of the decomposition method to Hong Kong morbidity data

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