References

Chen R, Yin P, Wang L Association between ambient temperature and mortality risk and burden: time series study in 272 main Chinese cities. BMJ. 2018; 363 https://doi.org/10.1136/bmj.k4306

Estimating excess winter mortality in England and Wales [Office for National Statstics]. 2003. https//tinyurl.com/yyplgchl (accessed 29 March 2019)

Jones R, Sleet G, Pearce O, Wetherill M. Complex changes in blood biochemistry revealed by a composite score derived from Principal Component Analysis: Effects of age, patient acuity, end of life, day-of week, and potential insights into the issues surrounding the ‘Weekend’ effect in hospital mortality. Br J Med Med Res. 2016; 18:(5)1-28 https://doi.org/10.9734/BJMMR/2016/29355

Jones RP. End-of-life demand is highly volatile and shows unexpected trends. J Para Pract. 2019; 11:(4)122-124

Office for National Statistics. Excess winter mortality in England and Wales. 2015. https//tinyurl.com/y7c2ab2b (accessed 29 March 2019)

Office for National Statistics. Deaths registered monthly in England and Wales. 2019. https//tinyurl.com/ybfk4pk2 (accessed 29 March 2019)

Snowed under: understanding the effects of winter on the NHS [Nuffield Trust]. 2018. https//tinyurl.com/y5fodc93 (accessed 29 March 2019)

Thorn J, Turner E, Hounsome L Validating the use of Hospital Episode Statistics data and comparison of costing methodologies for economic evaluation: an end-of-life case study from the Cluster randomised trial of PSA testing for Prostate cancer. BMJ Open. 2016; 6:(1) https://doi.org/10.1136/bmjopen-2016-011063

NHS winter workload and on/off switching of deaths

02 April 2019
Volume 11 · Issue 4

This winter, the pressure was on (Scobie, 2018). Ambulance crews had a get-together and those from area X were complaining about what a hard winter they were experiencing. Those from Y (just down the road) were sniggering in their cups of tea at those lightweights up the road.

The concept of on/off switching in deaths (and hence end-of-life acute and ambulance demand) was introduced in Part 3 of this series (Jones, 2019). In on/off switching, deaths and associated end-of-life demand suddenly jump to a new and higher level; they remain high for around 12 months and then switch-off and revert back to the usual baseline position. In view of this series on the role of nearness to death in the marginal changes in NHS workload, it may be useful to investigate just how variable winter workload can be in adjacent districts. Hospital admissions peak in the last month of life (Jones et al, 2016; Thorn et al, 2016); hence monthly deaths become a good measure of workload.

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