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Patients were identified from computerised coding of diagnosis and surgery.
Conversely, some practices may have been highly efficient at computerised coding of chronic disease registers and QOF indicators, thus boosting their reported achievement in both activities.
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Written endoscopy records from 29th September 1977 to 16th December 2014 were recovered, computerised, coded by two experienced endoscopists and analysed.
The practices form part of the Keele General Practice Research Partnership, and regularly undergo cycles of training, assessment and feedback regarding the quality of computerised morbidity coding [ 32].
All adult patients with a computerised diagnostic Read code for hypertension were included.
Data were coded and computerised, and analyses were done in the SAS.
Four tests of processing speed were administered, including Trail Making Test part A (TMT-A) (Reitan 1955), WAIS-III Digit Symbol Coding (Wechsler 1997), the computerised Go/No-Go test to assess the reaction time for go responses (see Takagi et al. 2011), and the CogstateTM Detection task (see Hammers et al. 2011, 2012).
The five participating practices were fully computerised and the completeness of their coding of consultations has been subject to regular quality reviews.
Computerised data are anonymised by a code-key, which is stored in a locked cabinet in a locked office, separate from personal data.
The three practices participating in this research are fully computerised and all practice staff enter a code for each contact.
Approximately 87% of medical practices are computerised, and of these 80% use Read codes – which is expected to rise to above 90% in the next three years.
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