Real-world physician and patient behaviour across countries: Disease-Specific Programmes - a means to understand
Real-world physician and patient behaviour across countries: Disease-Specific Programmes - a means to understand
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DOI：
10.1185/03007990802457040
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发表时间：
2008-01-01
影响因子：
2.3
通讯作者：
Piercy, J.
中科院分区：
文献类型：
--
作者：
Anderson, P.;Benford, M.;Piercy, J.
背景/目的：治疗指南和策略通常基于随机对照试验和观察性临床研究的数据。这些来源驱动治疗决策，然而，由于试验中适用于患者的选择标准狭窄，它们提供的数据可能与现实世界临床实践中更广泛的人群相关性有限。因此，用于告知临床实践和改善患者预后的信息可能无法反映现实世界的临床情况。本文的目的是评估阿德尔菲病特定方案（dsp）作为真实世界数据来源的价值。方法：dsp是一系列常见慢性疾病临床实践的大型，跨国，观察性研究。治疗实践数据由医生收集（n = 700），他们被要求为接下来的10名咨询特定疾病的患者提供信息。这些患者（n 7000）还被邀请填写一份自我完成表格，提供他们自己对症状、期望和生活质量的评估。分析：本文提供了统计技术的例子，用于分析疾病的成本/负担、生活质量、疾病的严重程度和进展、治疗的依从性和依从性、治疗指南的影响和未满足需求的分析。结论：dsp可以支持临床对疾病管理的理解，包括医生决策的基本原理和患者对其病情的态度。讨论了与其他数据来源的比较和方案的局限性（包括与索赔数据库和登记册不同的是，这些方案是横断面的，而不是纵向的）。
Background/objectives: Treatment guidelines and strategies are often based on data from randomized controlled trials and observational clinical studies. These sources drive treatment decisions, yet the data they provide may have limited relevance to the wider population in real-world clinical practice due to the narrow selection criteria applied to patients in trials. Information used to inform clinical practice and improve patient outcomes can, therefore, be unreflective of real-world clinical situations. The purpose of this article is to assess the value of Adelphi Disease Specific Programmes (DSPs) as sources of real world data.Methods: DSPs are large, multinational, observational studies of clinical practice for a range of common chronic diseases. Treatment practice data are collected by physicians (n = 700) who are asked to provide information for the next 10 patients consulting for a specific condition. These patients (n 7000) are also invited to fill out a self-completion form providing their own assessment of symptoms, expectations and quality of life.Analyses: This article provides examples of the statistical techniques that have been employed to analyse the data in terms of cost/burden of illness, quality of life, disease severity and progression, compliance and adherence to therapy, impact of treatment guidelines and analyses of unmet need.Conclusions: DSPs can support clinical understanding of how diseases are managed including rationale for doctor decision-making and patient attitudes to their condition. Comparisons with other data sources and limitations of the programmes are discussed (including the fact that, unlike claims databases and registries, the DSPs are cross-sectional and not longitudinal).