PhD thesis - University of Hertfordshire Research Archive
PhD thesis - University of Hertfordshire Research Archive
PhD thesis - University of Hertfordshire Research Archive
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Methods.<br />
The Health Protection Agency Centre for Infections maintains a database <strong>of</strong><br />
all certified deaths, reported to the Office for National Statistics, where an<br />
infection was recorded as the certified underlying or contributory cause <strong>of</strong><br />
death. These represent approximately 10-15% <strong>of</strong> all deaths reported<br />
annually. Descriptions <strong>of</strong> the underlying or contributory causes are provided,<br />
in addition to their relevant International Classification <strong>of</strong> Diseases (ICD)<br />
coding (ICD-9 from 1993-2000 and ICD-10 from 2001 to 2006).<br />
Deaths with any link to campylobacters were identified by searching the<br />
accompanying text fields for instances <strong>of</strong> „camp*‟. For deaths reported from<br />
2001 to 2006 those attributed directly to campylobacters were identified<br />
where the underlying cause field was coded as A045 („Campylobacter<br />
enteritis‟). For deaths from 1993-2000 only the first four digits <strong>of</strong> the death<br />
codes were available, and therefore campylobacter deaths (ICD-9 code<br />
008.43) were coded as 008.4 („Intestinal infections due to other specified<br />
bacteria‟). Accordingly, campylobacters were assigned as the underlying<br />
cause for those deaths where the underlying cause was coded as 008.4 and<br />
campylobacters were the only infectious agent recorded.<br />
Data on all cases <strong>of</strong> campylobacteriosis reported to the Health Protection<br />
Agency between 1993 and 2007 were extracted from the national laboratory<br />
database to act as a denominator data for the calculation <strong>of</strong> case fatality<br />
rates. Relative risks and 95% confidence intervals were calculated using<br />
Stata version 10 (Stata Corporation, 1999) and chi squared tests calculated<br />
using Epi Info (Dean et al., 1996).<br />
To assess which factors might lead to the underestimation <strong>of</strong> campylobacter-<br />
associated mortality, a binary outcome variable was created to compare<br />
those deaths where campylobacter was not recorded as the underlying<br />
cause versus those where it was. Explanatory variables were created to<br />
represent ICD-9 or ICD-10 coding, gender, patients who were elderly or who<br />
had a recorded underlying condition. An additional variable was created to<br />
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