管理数据库和诊断、治疗和辅助途径- pdta -在类风湿关节炎监测治疗中的应用:ATS Pavia的经验。

IF 2.3 Q2 MEDICINE, GENERAL & INTERNAL
Giacomo M Bruno, Maria Chiara Valentino, Alessandra Brunetti, Sergio Di Matteo, Ivan Begovic, Edoardo Croce, Garifallia Sakellariou, Serena Bugatti, Pietro Perotti, Silvia Vecchio, Simona Migliazza, Roberto Langella, Giorgio L Colombo
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引用次数: 0

摘要

背景:SSN的当前流代表了一组利益,其相互联系本身就证明了当前研究的合理性。为了回答定义明确的问题,这些流可以与其他来源(机构或其他来源)相互连接。目的:本研究的目的是通过对管理数据库的分析,验证在实际临床实践中,特别是在风湿病领域,生物非专利原研药和生物类似药在卫生资源消耗方面的差异。方法:利用ATS Pavia辅助数据库(BDA)对不同药物的卫生资源消耗差异进行评价。按患者总费用计算年度和每日费用,按不同治疗分层,考虑所分析药物的处方总费用之和。另一个目的是通过使用特定指标(MPR)来评估感兴趣药物的依从性。结果:共分析145例患者。在纳入的患者中,26.9%的使用者使用生物仿制药治疗,而73.1%的使用者使用生物原研药治疗。如果考虑到接受生物仿制药治疗的人群,依从性更高(82.1%)。在1年的观察期内,总费用(包括药物处方、住院、门诊服务、任何原因的检查)为14,274.08。其中药品占87.7%。非住院患者是最便宜的,无论他们是用生物制剂还是生物仿制药治疗。结论:在我们的样本中,生物仿制药往往未被充分利用:慢性自身免疫性疾病患者的治疗是一个涉及许多卫生专业人员的临床过程,而参与整个患者治疗的各个专业人员之间的沟通困难也可能导致关键。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Administrative Databases and Diagnostic Therapeutic and Assistance Paths -PDTA- in the Monitoring Treatment of Rheumatoid Arthritis: The Experience of ATS Pavia.

Administrative Databases and Diagnostic Therapeutic and Assistance Paths -PDTA- in the Monitoring Treatment of Rheumatoid Arthritis: The Experience of ATS Pavia.

Administrative Databases and Diagnostic Therapeutic and Assistance Paths -PDTA- in the Monitoring Treatment of Rheumatoid Arthritis: The Experience of ATS Pavia.

Administrative Databases and Diagnostic Therapeutic and Assistance Paths -PDTA- in the Monitoring Treatment of Rheumatoid Arthritis: The Experience of ATS Pavia.

Background: The current flows of the SSN represent the set of interest whose interconnection alone justifies the current study. These flows can be interconnected with other sources, institutional or otherwise, in order to answer well-defined questions.

Objective: The objective of the study is to verify, through the analysis of administrative databases, any differences in the consumption of health resources between biological off-patent originator drugs and biosimilars in real clinical practice, with particular reference to the rheumatology area.

Methods: Through the use of assisted databases (BDA) of ATS Pavia we evaluated the differences in terms of consumption of health resources related to the different drugs under analysis. Annual and daily costs were calculated by total patient cost, stratified for different treatments, considering the sum of total costs for the prescriptions of drugs subject to the analysis. Another objective was to evaluate the adherence of the drugs of interest, by utilizing specific indicators (MPR).

Results: A total of 145 patients were analyzed. Among enrolled patients, 26.9% of users were treated with a biosimilar drug, while 73.1% with a biologic originator. Adherence is higher if it is considered the population treated with biosimilar drugs (82.1%). Total cost (including drug prescriptions, hospitalizations, outpatient services, tests for any cause) during the observation period of 1 year is 14,274.08. 87.7% of the total is attributable to drugs. Non-hospitalized patients are the least expensive, whether they were treated with biologics or biosimilars.

Conclusion: In our sample, biosimilar drugs tend to be underused: the treatment of a patient with a chronic autoimmune disease is a clinical process that involves many health professionals, and a criticality could also derive from the difficult communication between the various professional figures who get involved with the whole patient treatment.

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来源期刊
Pragmatic and Observational Research
Pragmatic and Observational Research MEDICINE, GENERAL & INTERNAL-
自引率
0.00%
发文量
11
期刊介绍: Pragmatic and Observational Research is an international, peer-reviewed, open-access journal that publishes data from studies designed to closely reflect medical interventions in real-world clinical practice, providing insights beyond classical randomized controlled trials (RCTs). While RCTs maximize internal validity for cause-and-effect relationships, they often represent only specific patient groups. This journal aims to complement such studies by providing data that better mirrors real-world patients and the usage of medicines, thus informing guidelines and enhancing the applicability of research findings across diverse patient populations encountered in everyday clinical practice.
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