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Overprescribing of potentially harmful medication: an observational study in England's general practice
Tasneem Khan1, Bethan Copsey2, Paul Carder3
1Leeds Institute of Health Sciences, University of Leeds, Leeds, UK tasneemkhan@doctors.org.uk.
Background:
Overprescribing of potentially harmful medication in UK general practice has a complex association with socioeconomic deprivation.
Aim:
To assess trends in general practice prescribing of five high-risk medications and their relationship with deprivation.
Design & Setting:
An observational study was conducted using general practice data from three English regions with varied sociodemographic factors: West Yorkshire and Harrogate (WY), Black Country and West Birmingham (BC), and Surrey and East Sussex (SE).
Method:
Practice-level prescribing data were obtained from 2016-2021 for five drug classes: opioids, hypnotics, gabapentinoids, non-steroidal anti-inflammatory drugs (NSAIDs), and antibacterials. Prescribing trends were demonstrated using a linear model.
Results:
Reduction in NSAID, opioid, hypnotic and antibacterial prescriptions, and the increase in gabapentinoid prescriptions, were significant at each financial year time period. Index of Multiple Deprivation (IMD) was positively associated with all drug classes except antibacterials, which showed a positive association when incorporating the interaction term between IMD and age.When adjusting for IMD and population, region was independently associated with prescribing rate. Compared with WY, IMD had a smaller association with prescribing in BC for NSAIDs (coefficient = -0.01578, P = 0.004) and antibacterials (coefficient = -0.02769, P = 0.007), whereas IMD had a greater association with prescribing in SE for NSAIDs (coefficient = 0.02443, P<0.001), opioids (coefficient = 0.08919, P<0.001), hypnotics (coefficient = 0.09038, P<0.001), gabapentinoids (coefficient = 0.1095, P<0.001), and antibacterials (coefficient = 0.01601, P = 0.19).
Conclusion:
The association of socioeconomic deprivation with overprescribing of high-risk medication in general practice varies by region and drug type. Geographical location is associated with overprescribing, independent of socioeconomic status.
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