20.08.2013 Views

PhD thesis - University of Hertfordshire Research Archive

PhD thesis - University of Hertfordshire Research Archive

PhD thesis - University of Hertfordshire Research Archive

SHOW MORE
SHOW LESS

You also want an ePaper? Increase the reach of your titles

YUMPU automatically turns print PDFs into web optimized ePapers that Google loves.

presentation and severity, foreign and UK travel, food consumption (~20<br />

questions relating to the main food groups), milk and water consumption,<br />

recreational water activity, contact with animals and contact with other ill<br />

people. Exposures related to the fourteen days prior to the onset <strong>of</strong> patients‟<br />

illness.<br />

Collaborators formatted questionnaires as to their local style to encourage<br />

participation: the rationale being that individuals would prefer to receive a<br />

questionnaire from local teams rather than a national body. They were also<br />

permitted to add questions, if inclined, to answer specific research questions<br />

<strong>of</strong> their own, but could not to remove any, therefore maintaining the minimum<br />

dataset. Questionnaires were administered according to existing public or<br />

environmental practice, in that cases were contacted by post, by telephone or<br />

by personal visit depending on what method was currently in place. The<br />

study was piloted in two health authorities for one month prior to the start <strong>of</strong><br />

the study and the effectiveness <strong>of</strong> the questionnaire as a surveillance tool<br />

was assessed at this time.<br />

Concurrently, campylobacter isolates from clinical microbiology laboratories<br />

within the health authority catchment areas were referred to the CRU for<br />

confirmation and characterisation (speciation (Bolton et al., 1992), serotyping<br />

(Frost et al., 1998), phage typing (Frost, Kramer, & Gillanders, 1999) and<br />

antimicrobial resistance testing (Thwaites & Frost, 1999).<br />

Electronic epidemiological and microbiological data were merged in Micros<strong>of</strong>t<br />

Access. The two datasets were linked initially using patient‟s surname and<br />

dates <strong>of</strong> birth. The forename, region and onset/specimen dates for linked<br />

cases were then compared in both datasets to ensure that the linkage was<br />

correct. For unlinked records a number <strong>of</strong> strategies were employed to<br />

identify the respective record in the other dataset. Searches <strong>of</strong> first name,<br />

date <strong>of</strong> birth and postcode were undertaken and the person details <strong>of</strong><br />

potential matches compared. The first few letters <strong>of</strong> surnames and first<br />

names were analysed in the same way. Finally, for each case, the other<br />

38

Hooray! Your file is uploaded and ready to be published.

Saved successfully!

Ooh no, something went wrong!