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Objective There is no standard method of publishing the code ranges in research using routine data. We report how code selection affects the reported prevalence and precision of results.

Design We compared code ranges used to report the impact of pay-for-performance (P4P), with those specified in the P4P scheme, and those used by our informatics team to identify cases. We estimated the positive predictive values (PPV) of people with chronic conditions who were included in the study population, and compared the prevalence and blood pressure (BP) of people with hypertension (HT).