Generating RWE When the Healthcare System is Overburdened
RWS业务发展总监Calum Neish
Blog
Apr 22, 2020

Update Oct. 7, 2020

During the first wave, of the COVID crisis, we learned that social distancing and lockdown measures posed significant challenges to recruitment and on-time initiation of site-based studies. As we head into the second wave, it is even more imperative to develop strategies and effective solutions to ensure the generation of robust RWE even amidst this pandemic.

以下文章最初于今年4月撰写,提出了一种使用二级数据来源来支持研究的方法。随着COVID-19感染的第二波浪潮威胁要恢复锁定措施并加强对社交互动的严格规则,使用数据库研究来进行研究一如既往。如果研究人员和医疗保健站点需要更严格的研究限制以管理大流行造成的持续不确定性,则这种方法可以为研究赞助商提供可行的方法,以继续进行现实世界研究。lol买外围用什么软件


During these unprecedented times, when the global healthcare system is dealing with the COVID-19 pandemic and resources are being redirected to support frontline care, access to researchers is more restrictive. Meanwhile, social distancing and physical distancing restrictions put in place for the safety of our communities mean that patients are only visiting their physicians when necessary, resulting in disruptions or delays to ongoing, non-priority studies.

如何ever, the need for Real World Evidence (RWE) continues to be a critical component of decision making, despite the current challenges in conducting site-based research.

Healthcare stakeholders and decision makers are increasingly relying on evidence derived from Real World Data (RWD) to guide and help influence decisions ranging from regulatory approval, to reimbursement, to treatment decisions in the clinic.

在当前情况之前,已经发生了逐渐的范式转变,支持审查产品生命周期早期的药物有效性和安全性,以促进以加快方式使用药物,尤其是对于稀有疾病和肿瘤学。

The challenge of site burden is not a new issue。每年全球平均有54种新的活性物质,并且实施成本遏制措施,与竞争者区分开的需求越来越重要。基于站点的RWE研究可能会耗时,昂贵,并且涉及高度的行政负担。后一个因素已经被证明对于研究人员参与这些研究的意愿至关重要。

Attitudes to administrative burden of research
Attitudes to administrative burden of research

During times when sites are overburdened, DATABASE STUDIES provide an effective way to generate Real World Evidence, without the need for in-clinic interactions with researchers, HCPs and patients.

Database studies can be broadly grouped into the following categories:

  • 外部比较数据
  • Epidemiology assessments
  • Drug utilization
  • 有效性和安全性
  • lol买外围用什么软件医疗保健资源利用
Five categories of common database studies
Five categories of common database studies

数据库研究的典型来源包括:药房处方,公共和私人付款人索赔,行政或计费数据,诊断或实验室数据,电子病历(EMR)(EMR)和患者支持计划(PSP)。

The data derived from these databases provides a large quantity of analyzable patient-level RWD, which are often generalizable to the population. As the data pre-exists and site staff are not required, databases are often easier to access and reduce the burden on the healthcare system to collect the data.

重要的是要注意,没有一个数据库包含回答大量RWE问题所需的所有信息。任何给定的数据库都可能包含不完整的信息,例如可能没有有关诊断,疾病阶段或严重程度的信息,可能存在地理或商店覆盖范围问题,或者患者级别的覆盖范围可能存在差距。

为了产生准确和可靠的证据,在设计数据库研究时减少研究偏见和混杂因素很重要。这意味着了解几个关键因素:

  1. 什么收集数据和/或可用
  2. Whythe data is collected
  3. 如何the data is collected
  4. 什么information or variables need to be inferred
  5. 何时何地databases can be linked
  6. 如何to interpret results
数据源和变量
数据源和变量

The IQVIA Real World Solutions (RWS) team is well positioned to support your evidence generation with our Database Studies.

在加拿大获得大型国家患者级RWD资产的能力是进行成功的数据库研究的基础。知道存在哪些数据库,谁拥有它们以及信息中存在的差距将决定这种方法的成功。IQVIA RWS团队还可以直接访问药房分配,付款人索赔和初级保健电子病历,此外还有150多次与外部数据源合作。

我们的本地数据科学家团队的位置很好,可以为您的RWE一代提供创新的方法。我们使用矩阵分隔的方法在“ POD”结构中运行,该方法鼓励知识连续性,并为客户提供敏捷且响应迅速的交付。我们受到与数据库研究有关的特定SOP的管辖,以确保质量可交付成果,同时保持隐私和患者级数据的合规性。

For more information on Database Studies, visit our website atm.kolayalmanca.com/canada/rws。To talk to our team about your organization’s needs,联系我们

proprietary patient-level RWD data
proprietary patient-level RWD data
数据库RWS可以利用研究
数据库RWS可以利用研究
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