2009
DOI: 10.12968/bjhc.2009.15.4.41722
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Trends in emergency admissions

Abstract: Part one of this series discusses how the more widely recognised factors, such as an ageing population, re-admissions and increasing expectations of medicine, only contribute to a baseline increase in emergency admissions. Seasonal variation is discussed in the context of the predictability, or otherwise of emergency admissions, in response to changes in the weather and the wider environment. However, these are unable to explain the observed cyclical events occurring in medicine every 4-6 years, and even longe… Show more

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Cited by 49 publications
(37 citation statements)
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References 11 publications
(11 reference statements)
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“…Such beliefs will undoubtedly influence perceptions of appropriate service organisation, an issue reflected in the lack of consensus on how to improve the system. In this context, it is worth noting that the assumptions about avoidable admissions underlying current policy and practice, whilst largely accepted as plausible by professionals, were more likely to be questioned by those with expertise in care of older people (Walsh et al, 2008;Jones, 2009).…”
Section: Discussionmentioning
confidence: 99%
See 1 more Smart Citation
“…Such beliefs will undoubtedly influence perceptions of appropriate service organisation, an issue reflected in the lack of consensus on how to improve the system. In this context, it is worth noting that the assumptions about avoidable admissions underlying current policy and practice, whilst largely accepted as plausible by professionals, were more likely to be questioned by those with expertise in care of older people (Walsh et al, 2008;Jones, 2009).…”
Section: Discussionmentioning
confidence: 99%
“…Ill-defined conditions provide a useful model for understanding avoidable admissions (Wanless et al, 2007;Walsh et al, 2008;Jones, 2009). These admissions 1 are rising rapidly in older people, account for a substantial proportion of unplanned medical admissions internationally (Walsh et al, 2007(Walsh et al, , 2011Condelius et al, 2008) and are associated with adverse outcomes (Hastings et al, 2009), ambulatory care sensitive conditions (Purdy et al, 2009), admission to nursing homes (van Rensbergen & Nawrot, 2010) and high service use (Condelius et al, 2008).…”
Section: Introductionmentioning
confidence: 99%
“…Hence average LOS will have upper and lower confidence intervals (which in practice are quite wide but never calculated) and more importantly can fluctuate in unexpected ways over time especially when large numbers of zero day stay 'admissions' are included as a confounding factor. These issues were discussed in part one of this series (Jones 2009a). An alternative approach based on trends in actual bed days per se was concluded to offer far greater certainty in the forecasting of future bed requirements and a detailed discussion of all the technical issues has been given in these publications (Jones 2002(Jones , 2003.…”
Section: Bed Planningmentioning
confidence: 99%
“…The crux of the problem was highlighted in part one of this series. Hospitals are totally unable to flexibly allocate resources in an efficient manner in the absence of an external source of weather-related health forecasts (Jones 2009a). Expecting them to be able to do so is to expect the impossible.…”
Section: Figure 2: Daily Medical Bed Demand At a Large Acute Hospitalmentioning
confidence: 99%
“…Urinary infections cause increased morbidity and mortality in the older population and are a major source of distress, discomfort and negative impact on quality of life 7,8 . Furthermore, for care home residents, UTI is associated with a number of serious potential consequences including increased rates of falls, delirium, emergency admissions to DRInK-Up to prevent UTI in care homes hospital and an associated increased risk of death 9,10 .…”
Section: Introductionmentioning
confidence: 99%