Impact of the COVID-19 pandemic on cardiovascular heart disease medication use: time-series analysis of England's prescription data during the COVID-19 pandemic (January 2019 to October 2020)

Impact of COVID-19 Pandemic on Dispensing of Cardiovascular Drugs in Norway: An Interrupted Time Series Study

INTRODUCTION

The COVID-19 pandemic resulted in changes in prescription patterns and fillings for certain medications, but little is known about its impact on the dispensing of cardiovascular drugs.

METHODS

Trends in dispensing of cardiovascular drugs before and during the pandemic were examined using a population-based cohort in Norway. Using interrupted time series analyses and considering March 1, 2020 as the interruption point, the impact of the pandemic on defined daily dose dispensing of prescribed cardiovascular drugs was estimated in a population of adults with and without pre-existing cardiovascular disease from January 2018 to December 2021. All data were analyzed in 2023.

RESULTS

In a total of 4,053,957 adults, 690,910 (17.0%) had pre-existing cardiovascular disease. Prior to the pandemic, there was a significant monthly increase in any cardiovascular drug dispensing among those with pre-existing cardiovascular disease (0.30 defined daily dose per month per adult), including prescription of diuretics, calcium channel blockers, and lipid-modifying agents. After controlling for preinterruption trends, there was a slight decrease in level change immediately after the start of the pandemic (2.5 defined daily dose per month per adult) but an increase in the postinterruption trend (0.06 defined daily dose per month per adult) for dispensing of cardiovascular prescriptions, although these changes were not significant.

CONCLUSIONS

Although the COVID-19 pandemic did not appear to result in significant changes in patterns of cardiovascular drug dispensing in Norway, continued access to cardiovascular drugs remains important to prevent further related morbidity.

The impact of the COVID-19 pandemic on cardiovascular disease prevention and corresponding geographical inequalities in England: interrupted time series analysis

BACKGROUND

There has been disruption to the detection and management of those with hypertension and atrial fibrillation (AF) during the COVID-19 pandemic. This is likely to vary geographically and could have implications for future mortality and morbidity. We aimed to estimate the change in diagnosed prevalence, treatment and prescription indicators for AF and hypertension and assess corresponding geographical inequalities.

METHODS

Using the Quality and Outcomes Framework (2016/17 to 2021/22) and the English Prescribing Datasets (2018 to 2022), we described age standardised prevalence, treatment and prescription item rates for hypertension and AF by geography and over time. Using an interrupted time-series (ITS) analysis, we estimated the impact of the pandemic (from April 2020) on missed diagnoses and on the percentage change in medicines prescribed for these conditions. Finally, we described changes in treatment indicators against Public Health England 2029 cardiovascular risk targets.

RESULTS

We observed 143,822 fewer (-143,822, 95%CI:-226,144, -61,500, p = 0.001) diagnoses of hypertension, 60,330 fewer (-60,330, 95%CI: -83,216, -37,444, p = 0.001) diagnoses of AF and 1.79% fewer (-1.79%, 95%CI: -2.37%, -1.22%), p < 0.0001) prescriptions for these conditions over the COVID-19 impact period. There was substantial variation across geography in England in terms of the indirect impact of the COVID-19 pandemic on the diagnosis, prescription, and treatment rates of hypertension and AF. 20% of Sub Integrated Care Boards account for approximately 62% of all missed diagnoses of hypertension. The percentage of individuals who had their hypertension controlled fell from 75.8% in 2019/20 to 64.1% in 2021/22 and the percentage of individuals with AF who were risk assessed fell from 97.2% to 90.7%.

CONCLUSIONS

Hypertension and AF detection and management were disrupted during the COVID-19 pandemic. The disruption varied considerably across diseases and geography. This highlights the utility of administrative and geographically granular datasets to inform targeted efforts to mitigate the indirect impacts of the pandemic through applied secondary prevention measures.