法国因药物不良反应入院的经济负担:IATROSTAT-ECO 研究。

IF 3.1 3区 医学 Q2 PHARMACOLOGY & PHARMACY British journal of clinical pharmacology Pub Date : 2024-10-03 DOI:10.1111/bcp.16266
Marie-Laure Laroche, Noémie Tarbouriech, Taha Jai, Marie-Blanche Valnet-Rabier, Virginie Nerich
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引用次数: 0

摘要

目的:在过去十年中,因药物不良反应(ADR-HA)住院的人数有所增加,但很少有人对药物不良反应的影响进行评估。本研究旨在估算法国药物不良反应(ADR-HA)的经济负担:根据 2018 年在公立医院医疗单位进行的一项药物警戒研究(IATROSTAT),从法国公共医疗保险的角度进行了部分经济评估。成本包括直接医疗成本,由法国医院出院数据库回顾性收集。经济负担的估算方法是计算每位ADR-HA患者的总费用(住院费用、特定住院的每日额外费用,如在复苏室、重症监护室或持续监测室的费用、基于医疗资源组的关税之外的药物产品和医疗器械费用、特定门诊咨询及其他临床和技术医疗程序的费用,从ADR-HA发生的第一天算起,为期3个月)。通过对成本因素进行单向确定性敏感性分析,评估了结果的稳健性:根据 2018 年的收费标准(与 2023 年相比),每名 ADR-HA 患者的平均总成本估计为 5208 ± 3719 欧元(与 5974 ± 4232 欧元相比),范围在 514 至 23 355 欧元(与 618 至 27 380 欧元相比)之间。在法国公立医院抽样调查中,196 名 ADR-HA 患者的总费用估计为 1 020 549 欧元(对比:1 170 960 欧元)。在全国范围内,估计费用为 13 亿欧元:结论:除了昂贵药物数量的增加、人口老龄化和多药并用外,严重 ADR-HA 对医疗支出的经济影响也非常大。
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Economic burden of hospital admissions for adverse drug reactions in France: The IATROSTAT-ECO study.

Aims: Hospitalizations for adverse drug reactions (ADR-HA) have increased over the last decade, but the impact of ADR-HA has rarely been evaluated. The aim of this study was to estimate the economic burden of ADR-HA in France.

Methods: A partial economic evaluation from the viewpoint of French public health insurance was performed, based on a previous pharmacovigilance study (IATROSTAT) performed in 2018 in public hospital medical units. The cost included direct medical costs, collected retrospectively, from the French hospital discharge database. The economic burden was estimated by calculating the total cost per ADR-HA patient (cost of hospital stays, additional daily cost of specific stays, such as in a resuscitation, intensive care or continuous surveillance unit, drug products and medical devices in addition to Healthcare Resource Group-based tariffs, and specific outpatient consultations and other clinical and technical medical procedures, over 3 months as from the first day of ADR-HA). The robustness of the results was assessed using a one-way deterministic sensitivity analysis of cost factors applying tariffs from 2023 instead of 2018.

Results: According to the 2018 tariffs (vs. 2023), the mean total cost per patient with ADR-HA was estimated at €5208 ± €3719 (vs. €5974 ± €4232) ranging from €514 to €23 355 (vs. €618 to €27 380). The total cost for 196 patients with ADR-HA admitted to a sample of French public hospitals was estimated at €1 020 549 (vs. €1 170 960). It could be estimated at €1.3 billion at the national level.

Conclusions: In addition to the increase in the number of expensive drugs, the ageing population and polypharmacy, the economic impact of serious ADR-HA weighs heavily on healthcare spending.

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来源期刊
CiteScore
6.30
自引率
8.80%
发文量
419
审稿时长
1 months
期刊介绍: Published on behalf of the British Pharmacological Society, the British Journal of Clinical Pharmacology features papers and reports on all aspects of drug action in humans: review articles, mini review articles, original papers, commentaries, editorials and letters. The Journal enjoys a wide readership, bridging the gap between the medical profession, clinical research and the pharmaceutical industry. It also publishes research on new methods, new drugs and new approaches to treatment. The Journal is recognised as one of the leading publications in its field. It is online only, publishes open access research through its OnlineOpen programme and is published monthly.
期刊最新文献
Physiologically based pharmacokinetic modelling to predict potential drug-drug interactions of dersimelagon (MT-7117). Sustainable medicines development and use: Challenges and opportunities in the sustainable production of active pharmaceutical ingredients. Economic burden of hospital admissions for adverse drug reactions in France: The IATROSTAT-ECO study. Colchicine effect on biomarkers of cardiac remodelling and atherosclerosis in ST-elevation myocardial infarction: A randomized controlled trial. Evaluating the capability of ChatGPT in predicting drug-drug interactions: Real-world evidence using hospitalized patient data.
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