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Purpose: To test hypotheses that minority ethnic people with dementia in the UK receive fewer anti-dementia drugs and more psychotropic and anticholinergic drugs associated with harms. Patients and Methods: We analyzed UK primary care electronic health records from The Health Improvement Network (THIN) database (2014– 2016), comparing psychotropic drug prescribing initiation and duration between people with dementia from White, Black, and Asian ethnic groups. We repeated analyses in people (aged 50+) without dementia, to explore whether any differences found reflected prescribing patterns in the general older population, or were specific to dementia. Results: We included 53,718 people with and 1,648,889 people without dementia. Among people with dementia, compared to White ethnic groups, Asian people were less likely to be prescribed anti-dementia drugs when they were potentially indicated (adjusted prevalence rate ratio 0.86 (95% Confidence Interval 0.76– 0.98)), and received them for on average 15 days/year less. Compared to White groups, Asian and Black individuals with dementia were no more likely to take an antipsychotic drug, but those that had were prescribed them for 17 and 27 days/year more, respectively (190.8 (179.6– 199.1) and 200.7 (191.1– 206.5) days). Black people were less likely to be prescribed anxiolytics/hypnotics (0.60 (0.44– 0.8)), but the duration these drugs were prescribed was similar across ethnic groups. Asian people were more likely to be prescribed anticholinergic drugs (1.43 (1.19– 1.73)), in analyses unadjusted for cardiovascular comorbidities. Among people without dementia, those in the Asian and Black ethnic groups were less likely to be prescribed psychotropic drugs, relative to people from White groups. Conclusion: Among people with dementia, Asian groups received less potentially beneficial symptomatic treatments, and Asian and Black groups were prescribed antipsychotic drugs for longer than White ethnic groups. Our findings may indicate care inequalities. [ABSTRACT FROM AUTHOR]

Purpose: Glucocorticoids are widely used medications. In many pharmacoepidemiological studies, duration of individual prescriptions and definition of treatment episodes are important issues. However, many data sources lack this information. We aimed to estimate duration of individual prescriptions for oral glucocorticoids and to describe continuous treatment episodes using the parametric waiting time distribution. Methods: We used Danish nationwide registries to identify all prescriptions for oral glucocorticoids during 1996-2014. We applied the parametric waiting time distribution to estimate duration of individual prescriptions each year by estimating the 80th, 90th, 95th and 99th percentiles for the interarrival distribution. These corresponded to the time since last prescription during which 80%, 90%, 95% and 99% of users presented a new prescription for redemption. We used the Kaplan-Meier survival function to estimate length of first continuous treatment episodes by assigning estimated prescription duration to each prescription and thereby create treatment episodes from overlapping prescriptions. Results: We identified 5,691,985 prescriptions issued to 854,429 individuals of whom 351,202 (41%) only redeemed 1 prescription in the whole study period. The 80th percentile for prescription duration ranged from 87 to 120 days, the 90th percentile from 116 to 150 days, the 95th percentile from 147 to 181 days, and the 99th percentile from 228 to 259 days during 1996-2014. Based on the 80th, 90th, 95th and 99th percentiles of prescription duration, the median length of continuous treatment was 113, 141, 170 and 243 days, respectively. Conclusion: Our method and results may provide an important framework for future pharmacoepidemiological studies. The choice of which percentile of the interarrival distribution to apply as prescription duration has an impact on the level of misclassification. Use of the 80th percentile provides a measure of drug exposure that is specific, while the 99th percentile provides a sensitive measure. [ABSTRACT FROM AUTHOR]

AimThis study aims to evaluate changes in the durations of English National Health Service prescriptions, as indicated by the volumes of unit doses supplied between 1998 and 2009, and consider relevant policy implications.BackgroundAround the world, countries are seeking to manage the increase in medicines prescribing. In England, many primary care organisations, using limited supporting evidence of cost-effectiveness and clinical improvement, have sought to restrict the number of dosage units on a prescription to 28 days supply. This is based on a conviction that this reduces wastage costs.MethodsPrescription Cost Analysis (PCA) statistics for England for the period January 1998 to December 2009 were used to analyse trends in the average number of unit doses (tablets or capsules) supplied per prescription for 11 drugs supplied in 34 different presentations.FindingsThe changes in prescription lengths observed between 1999 and 2009 ranged from +4.2% in the case of Amoxicillin 500 mg capsules to −41.3% in the case of Levothyroxine 50 μg tablets. All but four of the medicines selected showed statistically significant negative correlations (r > 0.8, P < 0.001) between the year of prescribing and the prescription length. If prescription lengths had been the same in 2009 as they were in 1999, then 33 million fewer prescription items would have been written for the preparations in this analysis. This shift across a range of medications suggests a generalised change in prescribing behaviour. The full balance of benefits and costs associated with this trend, as expressed via drug wastage avoided, patient (in)convenience experienced, professional time costs incurred or saved and positive or negative health outcome impacts, is not known. Although this study does not provide a definitive answer favouring prescription duration individualisation as opposed to standardisation, the available evidence indicates that policies that rigidly favour 28-day standard periods may require review. [ABSTRACT FROM PUBLISHER]