Trend in proportion of deaths occurring in hospital

Abstract

British Journal of Healthcare ManagementVol. 22, No. 11 Money MattersTrend in proportion of deaths occurring in hospitalRod JonesRod JonesSearch for more papers by this authorRod JonesPublished Online:18 Nov 2016https://doi.org/10.12968/bjhc.2016.22.11.572AboutSectionsView articleView Full TextPDF/EPUB ToolsAdd to favoritesDownload CitationsTrack CitationsPermissions ShareShare onFacebookTwitterLinked InEmail View article References Beeknoo N, Jones R (2016) The demography myth-how demographic forecasting vastly underestimates hospital admissions, and creates the illusion that fewer hospital beds or community-based bed equivalents will be required in the future. Brit J Med Medical Res (in press) Google ScholarCohen J, Bilsen J, Addington-Hall J et al. (2008) Population-based study of dying in hospital in six European countries. Palliat Med 22(6): 702–10. doi: https://doi.org/10.1177/0269216308092285 Crossref, Google ScholarFoote M, Bowen T, Forte P (2008) Identifying alternatives to hospital for people at the end of life. Available at: https://www.nao.org.uk/wp-content/uploads/2008/11/07081043_alternatives.pdf (accessed 5 November 2016) Google ScholarGomes B, Higginson I (2008) Where people die (1974-2030). Past trends, future projections and implications for care. Palliat Med 22(1): 33–41. doi: https://doi.org/10.1177/0269216307084606 Crossref, Google ScholarHanlon P, Walsh D, Whyte B et al. (1998) Hospital use by an ageing cohort: an investigation into the association between biological, behavioural and social risk markers and subsequent hospital utilization. J Public Health Med 20(4): 467–76 Crossref, Google ScholarJones R (2015a) Simulated rectangular wave infectious-like events replicate the diversity of time-profiles observed in real-world running 12 month totals of admissions or deaths. FGNAMB 1(3): 78–9. doi: https://doi.org/10.15761/FGNAMB.1000114 Google ScholarJones R (2015b) A ‘fatal’ flaw in hospital mortality models: How spatiotemporal variation in all-cause mortality invalidates hidden assumptions in the models. FGNAMB 1(3): 82–96. doi: https://doi.org/10.15761/FGNAMB.1000116 Google ScholarJones R (2015c) Recurring outbreaks of an infection apparently targeting immune function, and consequent unprecedented growth in medical admission and costs in the United Kingdom: A review. Brit J Med Medical Res 6(8): 735-770. doi: https://doi.org/10.9734/BJMMR/2015/14845 Crossref, Google ScholarJones R (2016a) Is cytomegalovirus involved in recurring periods of higher than expected death and medical admissions, occurring as clustered outbreaks in the northern and southern hemispheres? Brit J Med Medical Res 11(2): 1–31. doi: https://doi.org/10.9734/BJMMR/2016/20062 Crossref, Google ScholarJones R (2016b) Deaths in English Lower Super Output Areas (LSOA) show patterns of very large shifts indicative of a novel recurring infectious event. SMU Medical Journal 3(2): 23–36 Google ScholarJones R (2016c) The unprecedented growth in medical admissions in the UK: the ageing population or a possible infectious/immune aetiology? Epidemiology (Sunnyvale) 6(1): 1000219 Crossref, Google ScholarJones R (2016d) A presumed infectious event in England and Wales during 2014 and 2015 leading to higher deaths in those with neurological and other disorders. J Neuroinfectious Diseases 7(1): 1000213. doi: https://doi.org/10.4172/2314-7326.1000213 Google ScholarJones R (2016e) Rising emergency admissions in the UK and the elephant in the room. Epidemiology (Sunnyvale): Open Access 6(4): 1000261. doi: https://doi.org/10.4172/2161-1165.1000261 Google ScholarJones R, Sleet G, Pearce O, Wetherill M (2016) Is the weekend effect in hospital mortality real, or is a fundamental weekly cycle in adult blood biochemistry, health and death a contributory factor? Brit J Med Medical Res (in press) Google ScholarLeadbeater C, Garber J (2010) Dying for change. Available at: http://www.demos.co.uk/files/Dying_for_change_-_web_-_final_1_.pdf (accessed 5 November 2016) Google ScholarRosenwax L, McNamara B, Murray K, et al. (2011) Hospital and emergency department use in the last year of life: a baseline for future modifications of end-of-life care. Med J Aust 194(11): 570–73 Google ScholarTolle S, Rosenfeld A, Tilden V, Park Y (1999) Oregon's low in-hospital death rates: what determines where people die and satisfaction with decisions of place of death? Ann Intern Med 130(8):681–5 Crossref, Google ScholarWennberg J, Fisher E, Stukel T et al. (2004) Use of hospitals, physician visits, and hospice care during the last six months of life among cohorts loyal to highly respected hospitals in the United States. BMJ 328: 607. doi: https://doi.org/10.1136/bmj.328.7440.607 Crossref, Google Scholar FiguresReferencesRelatedDetails 2 November 2016Volume 22Issue 11ISSN (print): 1358-0574ISSN (online): 1759-7382 Metrics History Published online 18 November 2016 Published in print 2 November 2016 Information© MA Healthcare LimitedPDF download