Measuring performance in the presence of stochastic demand for hospital services: an analysis of Belgian general care hospitals

Smet, Mike

doi:10.1007/s11123-006-0021-7

Cited by 27 publications

(19 citation statements)

References 28 publications

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“…Berry et al [2] concluded from their study that hospital size is the single largest predictor of operating room productivity. To the contrary, Smet, [3] and Peltokorpi [4] concluded that smaller hospitals are more productive indicating that economies of scale work in reverse direction.…”

Section: Literture Reviewmentioning

confidence: 99%

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Economies of scale in cardiac surgery

Lillrank

Chaudhuri

Torkki

2015

JHA

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Objective: The objective of this paper is to investigate the impact of scale of surgical units on the productivity of patient processes. Methods: The context, intervention, mechanism, output (CIMO) model of Evaluation research is used. The scale-performance mechanisms are examined through resource intensity and throughput time per patient. The productivity of Coronary Artery Bypass Graft (CABG) surgery in a very large and a smaller hospital are compared. Results: While the large hospital performed 5.1 times more CABG surgeries per year than the smaller hospital, in terms of total resource consumption per patient it was 13% less productive. The large hospital had a 5% efficiency advantage in Operating Theatres (OTs), but it was 30% less efficient in ward care. Conclusions: Economies of scale are not found at the patient process level. Operating policies seem to assume more importance than scale.

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Section: Literture Reviewmentioning

confidence: 99%

“…[1,3,7] However, the number of beds may not be a good indicator of scale for all healthcare services, as beds have a different role in surgery and internal medicine. Cowing et al [18] demonstrated that analysis of scale effects on productivity suffered from confusion between long-and short-term effects.…”

Section: Literture Reviewmentioning

confidence: 99%

Economies of scale in cardiac surgery

Lillrank

Chaudhuri

Torkki

2015

JHA

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“…Smet (2007) Measured efficiency and performance in the presence of stochastic demand for hospital services in Belgian hospitals.…”

Section: Demand Management Research Agendamentioning

confidence: 99%

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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“…To illustrate, a 1% increase in variance would lead to a 0.092% increase in inpatient operating costs. Smet (2007) measured the performance of Belgian general care hospitals in the presence of stochastic demand for hospital services. To measure standby capacity held by hospitals to serve unexpected demand he used a waiting time indicator derived from queuing theory.…”

Section: Review Of Empirical Studiesmentioning

confidence: 99%

Demand Variability, Demand Uncertainty and Hospital Costs: A Selective Survey of the Empirical Literature

Boutsioli¹

2010

GJHS

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Demand for hospital services varies in an uncertain way and affects both the optimal size and the variable cost of hospitals. From this selective review the following main points for further research are resulted. The theory of hospital costs needs to take into consideration the impact of demand variability. The insurance role of hospital excess capacity should be treated endogenously. Better econometric techniques can improve the efficiency of empirical results. Disaggregated data may be more appropriate, and finally, more countries in order to be able to generalize the conclusions concerning the impact of demand variability on hospital costs are needed.

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Measuring performance in the presence of stochastic demand for hospital services: an analysis of Belgian general care hospitals

Cited by 27 publications

References 28 publications

Economies of scale in cardiac surgery

Economies of scale in cardiac surgery

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

Demand Variability, Demand Uncertainty and Hospital Costs: A Selective Survey of the Empirical Literature

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