2022
DOI: 10.23889/ijpds.v5i4.1715
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Impact of COVID-19 pandemic on community medication dispensing: a national cohort analysis in Wales, UK

Abstract: BackgroundPopulation-level information on dispensed medication provides insight on the distribution of treated morbidities, particularly if linked to other population-scale data at an individual-level. ObjectiveTo evaluate the impact of COVID-19 on dispensing patterns of medications. MethodsRetrospective observational study using population-scale, individual-level dispensing records in Wales, UK. Total dispensed drug items for the population between 1st January 2016 and 31st December 2019 (3-years, pre-COVID-1… Show more

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Cited by 4 publications
(2 citation statements)
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“…This appears to be an isolated effect, coinciding with the start of UK pandemic measures. Similar spikes in non-cancer patients have been recorded in Wales for non-analgesic community prescriptions [ 34 ], and in England for both analgesic and non-analgesic community prescriptions [ 35 ], and the hypothesis is that this represents a form of stockpiling in anticipation of reduced availability. These spikes may be the result of either patient-initiated prescription requests, a more systematic primary care initiative, or a combination of the two.…”
Section: Discussionmentioning
confidence: 66%
“…This appears to be an isolated effect, coinciding with the start of UK pandemic measures. Similar spikes in non-cancer patients have been recorded in Wales for non-analgesic community prescriptions [ 34 ], and in England for both analgesic and non-analgesic community prescriptions [ 35 ], and the hypothesis is that this represents a form of stockpiling in anticipation of reduced availability. These spikes may be the result of either patient-initiated prescription requests, a more systematic primary care initiative, or a combination of the two.…”
Section: Discussionmentioning
confidence: 66%
“…Data for each intervention were well populated from June 2014 onwards. We curtailed data until the end of February 2020 to avoid the COVID-19 pandemic, after which data were likely to be atypical [27]. Therefore, the study period looked at the complete years 2015 to 2019 inclusive.…”
Section: Study Periodmentioning
confidence: 99%