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Data quality depends on how practices use their clinical IT system, although all the practices in this analysis contributed to a national morbidity data set and had received training and financial support to maintain high quality data.
The study used data routinely recorded in general practitioner (GP) electronic medical records making it possible to examine actual practice on a large scale, and the data used came from practices participating in a national morbidity data set which had all received training and financial support to maintain particularly high quality data.
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The three most commonly recorded co-morbidities in our data set were diabetes (27%), pulmonary disease (15.4%) and renal failure (14.2%).
We accounted for a number of co-morbidities available in the data set and excluded patients with prior visits for LBP to mitigate against this possibility.
Only the determination of the excess risk of selected co-morbidities was performed with the original data set from the case control cohort using no further standardization.
Therefore, we obtained permission to link the NLCA with the Hospital Episode Statistics HESS) data set to calculate a composite score of co-morbidity: the Charlson co-morbidity Index.
Maternal and infant characteristics, labour and postnatal details and the outcome measures detailed below were entered in the data set by a research fellow, including morbidities up until the first hospital discharge.
These data set the stage for an extraordinary high morbidity and mortality in patients with PAD.
The data set contains information on patient characteristics, co-morbidity, presentation, investigations, surgical management, complications, adjuvant therapy, pathology and follow-up, and has the approval of the South Western Sydney Health Area Ethics Committee.
A richer data set, with full data on treatment and co-morbidity, might have enabled more precise imputations of stage, because the main assumption behind imputation is that stage can be predicted from other variables in the data set.
The Charlson co-morbidity index was created from diagnostic codes (ignoring cancer codes) recorded in the inpatient Hospital Episode Statistics HESS) data set for each patient in the period from 30 months before diagnosis to 3 months before diagnosis.
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