Evidence map›Paper›PMID 39942512›Full record

ArticleHealthcare (Basel, Switzerland)2025

Antidiabetic Medicines Utilisation During Pre-Pandemic, Pandemic and Post-Pandemic Period of COVID-19-Data for Bulgarian Population.

Zornitsa Mitkova, Desislava Stanimirova, Miglena Manova, Nikolay Gerasimov, Konstantin Mitov, Guenka Petrova

Abstract read
In one paragraph

Article in Healthcare (Basel, Switzerland), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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0cells of the map it votes in
1citing papers in PubMed
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1 · What the graph read from it

What it found

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Zornitsa MitkovaDepartment of Organization and Economy of Pharmacy, Faculty of Pharmacy, Medical University-Sofia, 1000 Sofia, Bulgaria.
Desislava StanimirovaDepartment of Organization and Economy of Pharmacy, Faculty of Pharmacy, Medical University-Sofia, 1000 Sofia, Bulgaria.
Miglena ManovaDepartment of Organization and Economy of Pharmacy, Faculty of Pharmacy, Medical University-Sofia, 1000 Sofia, Bulgaria.
Nikolay GerasimovMedical College, Trakia University, 6000 Stara Zagora, Bulgaria.
Konstantin MitovDepartment of Organization and Economy of Pharmacy, Faculty of Pharmacy, Medical University-Sofia, 1000 Sofia, Bulgaria.
Guenka PetrovaDepartment of Organization and Economy of Pharmacy, Faculty of Pharmacy, Medical University-Sofia, 1000 Sofia, Bulgaria.

Funding

European Union-Next Generation EU BG-RRP-2.004-0004-C01
6 · The paper itself

Abstract

backgroundType 2 diabetes is a chronic disease with high global prevalence and significant social and economic burden. The pandemic affected patients' diagnostics and medicines dispensing. Diabetes was among the most-affected conditions during lockdown due to the limited resources and unaffordable medicines. The impact of the pandemic on utilisation and cost has not been thoroughly studied, which inspired us to conduct the current study.

objectivesThe study explored cost dynamics, changes in antidiabetic medicines utilisation, and public expenditure of pharmacotherapy in three periods: pre-pandemic (2018-2019), during the pandemic (2020-2021), and post-pandemic (2022-2023).

methodsIt is a retrospective, observational, macroeconomic analysis. Reimbursed cost and utilisation were analysed as a crude sum and as indexes of the average value.

resultsThe result shows that five new INNs have been included in the Positive Medicines List (PML), two of these being fixed dose combinations (FDCs). During the pandemic, a slow tendency of increase of the crude sum of public expenditure was observed, followed by a sharp increase in the post-pandemic period. The public spending increased more than twice, and we found a 30,018,982 Euro growth. The highest public spending is found for dapagliflozine in post-pandemic vs. pandemic period (index = 1.67), as well as empagliflozin/metformin and dapagliflozine in pandemic vs. pre-pandemic period (index = 0.21). Total utilisation increases from 58.16 to 71.78 DDD/1000 inh/day during 2018-2023. The most significant rise of utilisation is found for canagliflozin (index = 0.68) pandemic vs. pre-pandemic and dapagliflozin (index = 3.66) post-pandemic vs. pandemic.

conclusionsAnalysis of the antidiabetic medicines market reveals the rising of reimbursed cost and utilisation in pre-, post-, and during the pandemic. In conclusion, organisation of the supply and financing of antidiabetic medicines was not affected during the pandemic.

Indexed as

antidiabeticscost dynamicsDDD/1000 inh/daypublic expenditureutilisation

Identifiers

PMID39942512
PMCPMC11817434

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.