2021
DOI: 10.3390/ijerph182413253
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Impact of COVID-19 Lockdown, during the Two Waves, on Drug Use and Emergency Department Access in People with Epilepsy: An Interrupted Time-Series Analysis

Abstract: Background: In 2020, during the COVID-19 pandemic, Italy implemented two national lockdowns aimed at reducing virus transmission. We assessed whether these lockdowns affected anti-seizure medication (ASM) use and epilepsy-related access to emergency departments (ED) in the general population. Methods: We performed a population-based study using the healthcare administrative database of Tuscany. We defined the weekly time series of prevalence and incidence of ASM, along with the incidence of epilepsy-related ED… Show more

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Cited by 9 publications
(4 citation statements)
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“…A reduction in the use of health services was reported worldwide [48]. Both in Europe and in the United States, patients with chronic conditions reported a lack of consultations with their physicians [49], while a decrease in accessing the emergency department was documented in Italy [50]. Additionally, the Spanish population's satisfaction with its healthcare system decreased between the first and second waves of pandemic [51].…”
Section: Discussionmentioning
confidence: 99%
“…A reduction in the use of health services was reported worldwide [48]. Both in Europe and in the United States, patients with chronic conditions reported a lack of consultations with their physicians [49], while a decrease in accessing the emergency department was documented in Italy [50]. Additionally, the Spanish population's satisfaction with its healthcare system decreased between the first and second waves of pandemic [51].…”
Section: Discussionmentioning
confidence: 99%
“…The method used in this study have been already described in other publications aimed at assessing the impact of lockdown on other drug classes in the Tuscan general population [23,24]. In this observational retrospective study, the healthcare administrative database (HAD) of Tuscany was used, covering approximately 3.6 million inhabitants.…”
Section: Data Source and Ethical Approvalmentioning
confidence: 99%
“…To evaluate the impact of health policy interventions on the rate of an outcome in a defined population using observational data, quasi-experimental designs are the best approaches [ 15 ]. For this reason, an interrupted time-series (ITS) analysis with a quasi-Poisson generalized additive model [ 16 19 ] was finally performed to assess any statistically significant changes in the level of prevalence of use of each study drug in England and Italy after the final period of Delta SARS-CoV-2 variant predominance and the transition to the Omicron variant period. In the modelling phase we included the count every 2 weeks of the mAb/antiviral drug users as the outcome and the SARS-CoV-2 infection diagnoses every 2 weeks as offset to convert the count outcome in prevalence.…”
Section: Methodsmentioning
confidence: 99%