AIM: To use Prescribing Analysis and Costs data to investigate factors associated with differences in rates of nonsteroidal anti-inflammatory drug prescribing in Nottingham general practices. RESULTS: Poisson regression analysis revealed that the Age. Sex and Temporary Resident Prescribing Unit Index was the largest identifiable influence; larger practice size and a higher index of deprivation were also significantly associated with lower prescribing, whilst the number of partners was associated with higher levels of prescribing. However, even after correcting for the influence of age, sex and temporary residents, there was an 5.9-fold variation in rates of prescribing. A similar Poisson regression analysis to identify factors associated with admission to hospital with ulcer bleeding in the elderly over the preceding 57 months identified the rate of nonsteroidal anti-inflammatory drug (NSAID) prescribing as the only significant influence. CONCLUSION: The data are compatible with 1 hospital admission per 2823 NSAID prescriptions (95% confidence intervals 2098-8110) and they emphasize the need for strategies to reduce levels of NSAID prescribing.
AIM: To use Prescribing Analysis and Costs data to investigate factors associated with differences in rates of nonsteroidal anti-inflammatory drug prescribing in Nottingham general practices. RESULTS: Poisson regression analysis revealed that the Age. Sex and Temporary Resident Prescribing Unit Index was the largest identifiable influence; larger practice size and a higher index of deprivation were also significantly associated with lower prescribing, whilst the number of partners was associated with higher levels of prescribing. However, even after correcting for the influence of age, sex and temporary residents, there was an 5.9-fold variation in rates of prescribing. A similar Poisson regression analysis to identify factors associated with admission to hospital with ulcer bleeding in the elderly over the preceding 57 months identified the rate of nonsteroidal anti-inflammatory drug (NSAID) prescribing as the only significant influence. CONCLUSION: The data are compatible with 1 hospital admission per 2823 NSAID prescriptions (95% confidence intervals 2098-8110) and they emphasize the need for strategies to reduce levels of NSAID prescribing.
Authors: Yael Rachamin; Levy Jäger; Rahel Meier; Thomas Grischott; Oliver Senn; Jakob M Burgstaller; Stefan Markun Journal: Front Pharmacol Date: 2022-02-14 Impact factor: 5.810