First steps in analysing NHS waiting times: avoiding the 'stationary and closed population' fallacy.

Published

Journal Article

The aim of this paper is to demonstrate the effect of excluding incomplete observations and competing events when calculating cross-sectional measures of NHS waiting times, and to obtain a more accurate estimate of the 'time-to-admission' of those listed on NHS waiting lists using life-table methods. The official 'times-since-enrollment' of all elective 'admissions' in England, 1 July to 31 December 1994 inclusive, were extracted from Hospital Episode Statistics. The official 'times-to-census' of all those on a waiting list in England at 30 September 1994 were obtained from aggregated KH07 data. The percentage waiting at least three months, at least six months etc., was calculated separately for each data set and compared with a period life-table derived from the combined data. The cumulative likelihood of elective admission is markedly overestimated across the whole range of waiting times. The experience of those still waiting, those removed from the list, those suspended or deferred and those put to the back of the queue is not taken into account in the calculation of official waiting times. The Department of Health currently presents the 'time-since-enrollment' of those admitted as though it indicates how long all patients can expect to wait for admission. The consequent bias in published summary statistics incorrectly quantifies the real experience of patients. It is recommended that calculation of waiting times from KH07 census counts and Hospital Episode Statistics be reconsidered in the light of what patients, clinicians, managers and politicians need to know about treatment delay.

Full Text

Duke Authors

Cited Authors

  • Armstrong, PW

Published Date

  • August 15, 2000

Published In

Volume / Issue

  • 19 / 15

Start / End Page

  • 2037 - 2051

PubMed ID

  • 10900450

Pubmed Central ID

  • 10900450

International Standard Serial Number (ISSN)

  • 0277-6715

Digital Object Identifier (DOI)

  • 10.1002/1097-0258(20000815)19:15<2037::aid-sim606>3.0.co;2-r

Language

  • eng

Conference Location

  • England