joint strategic needs assessment foundation profile - JSNA

Interative Hull Atlas: www.hullpublichealth.org/Pages/hull_atlas.htm More information: www.jsnaonline.org and www.hullpublichealth.org
average. However, whilst lower it is unlikely that they would be statistically significantly
lower given the overlap in the confidence intervals for Hull with the Network. A similar
pattern emerges for Hull females, but not as pronounced as for Hull males, as the
survival rate for lung cancer cases diagnosed 1998-2002 is comparable to the Network
rate for cases diagnosed 1995-1999 (and it is expected that the Network rate would
have improved between 1995-1999 and 1998-2002). Whilst lower for Hull females, it is
unlikely that the difference from the Network would be statistically significant given the
overlap in the two sets of confidence intervals. It is possible that people in Hull are
diagnosed at a later stage as they do not visit their GP when they first develop
symptoms, and they may have other co-morbidities which could affect their survival.
Table 249: Five Year Lung Cancer Survival Rates for Hull
Gender Five year lung cancer survival rates in Hull
Diagnosed 1998-2002 Diagnosed 2000-2002
Cohort Deaths Relative Survival Cohort Deaths Relative Survival
(95% CI)
(95% CI)
Males 665 628 7.1 (4.9, 9.4) 374 349 8.6 (5.3, 12.0)
Females 424 397 7.9 (4.9, 10.8) 259 239 9.5 (5.4, 13.6)
Persons 1,089 1,025 7.4 (5.6, 9.2) 663 588 9.0 (6.4, 11.6)
10.2.2.6 Inpatient Admissions in Relation to Deprivation
Figure 212 illustrates the average annual directly age-standardised daycase and
inpatient admission rates which involve a primary diagnosis of lung cancer (any clinician
episode within that hospital stay) by local deprivation quintile over three financial years
2007/08 to 2009/10 (standardised to Hull‟s 2009 population). The 95% confidence
intervals are shown. There is a statistically significant difference among the quintiles for
daycase and inpatient admissions for lung cancer. The standardised admission rate in
the most deprived quintile is twice as high (479 admissions per 100,000 persons)
compared to those in the least deprived quintiles (218 per 100,000 persons). The
underlying data are given in the APPENDIX on page 919.
As expected, given the higher prevalence of lifestyle and behavioural risk factors, people
living in the most deprived areas have a higher hospital admission rate for cancer.
However, it is difficult to ascertain if this pattern is reflecting „need‟. It could be that the
gradient between the most and least deprived quintiles should be steeper or less steep
than the gradient observed.
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