2003
DOI: 10.1258/095148403322488964
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Cyclic fluctuations in hospital bed occupancy in Roma (Italy): supply or demand driven?

Abstract: The objective of this study was to assess hospital bed occupancy both by planned and unplanned cases, and to assess how supply and demand affect bed occupancy. Data was obtained from the Lazio Hospital Information System (HIS) dataset on all hospital discharges from July 1998 to June 2001. Using Diagnosis Related Groups (DRG) as the reason for hospital stay, admissions were classified into four categories: 'planned stay', 'presumed planned stay', 'presumed unplanned stay', and 'unplanned stay'. Time series ana… Show more

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Cited by 13 publications
(16 citation statements)
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“…The National Audit Office (2000) noted a big difference between hospitals in the proportion of electives brought in early, suggesting some of these may be unnecessary. Greater variation in planned than unplanned work is also a feature of other health systems, for example in Italy (Fusco et al, 2003). Figure 4 shows the considerable impact of variation in discharge activity across the week; the dips are weekends, and small peaks of activity either side of these can be seen.…”
Section: Patterns In In-patient Flowmentioning
confidence: 97%
“…The National Audit Office (2000) noted a big difference between hospitals in the proportion of electives brought in early, suggesting some of these may be unnecessary. Greater variation in planned than unplanned work is also a feature of other health systems, for example in Italy (Fusco et al, 2003). Figure 4 shows the considerable impact of variation in discharge activity across the week; the dips are weekends, and small peaks of activity either side of these can be seen.…”
Section: Patterns In In-patient Flowmentioning
confidence: 97%
“…7 However, some believe that bed shortages are self-inflicted and compounded by the known, predictable system dynamics that create additional problems for bed availability. 6,8 The daily bed cycle…”
Section: Bed Management As a System Issuementioning
confidence: 99%
“…GAMs have been repeatedly used to study the time course of different health phenomena; 16,26,28,29 we used GAMs in analysing trends of programmable hospital admissions 27 and found them a powerful tool to adjust for short-and long-term variability and to study the possible interaction between time and other variables. In this study, GAM estimates of influenza-related occupancy are adjusted by daily variations for week days, and by seasonal variations, and they are affected by the summer decrease in hospital occupancy.…”
Section: Discussionmentioning
confidence: 99%