Scientific Resource Center for the AHRQ EPC Program, Portland, OR, USA.
Center for Evidence and Practice Improvement, Agency for Healthcare Research and Quality, Rockville, MD, USA.
J Clin Epidemiol. 2024 Oct;174:111484. doi: 10.1016/j.jclinepi.2024.111484. Epub 2024 Aug 7.
The US Agency for Healthcare Research and Quality, through the Evidence-based Practice Center (EPC) Program, aims to provide health system decision makers with the highest-quality evidence to inform clinical decisions. However, limitations in the literature may lead to inconclusive findings in EPC systematic reviews (SRs). The EPC Program conducted pilot projects to understand the feasibility, benefits, and challenges of utilizing health system data to augment SR findings to support confidence in healthcare decision-making based on real-world experiences.
Three contractors (each an EPC located at a different health system) selected a recently completed SR conducted by their center and identified an evidence gap that electronic health record (EHR) data might address. All pilot project topics addressed clinical questions as opposed to care delivery, care organization, or care disparities topics that are common in EPC reports. Topic areas addressed by each EPC included infantile epilepsy, migraine, and hip fracture. EPCs also tracked additional resources needed to conduct supplemental analyses. The workgroup met monthly in 2022-2023 to discuss challenges and lessons learned from the pilot projects.
Two supplemental data analyses filled an evidence gap identified in the SRs (raised certainty of evidence, improved applicability) and the third filled a health system knowledge gap. Project challenges fell under three themes: regulatory and logistical issues, data collection and analysis, and interpretation and presentation of findings. Limited ability to capture key clinical variables given inconsistent or missing data within the EHR was a major limitation. The workgroup found that conducting supplemental data analysis alongside an SR was feasible but adds considerable time and resources to the review process (estimated total hours to complete pilot projects ranged from 283 to 595 across EPCs), and that the increased effort and resources added limited incremental value.
Supplementing existing SRs with analyses of EHR data is resource intensive and requires specialized skillsets throughout the process. While using EHR data for research has immense potential to generate real-world evidence and fill knowledge gaps, these data may not yet be ready for routine use alongside SRs.
美国医疗保健研究与质量局通过循证实践中心(EPC)计划,旨在为卫生系统决策者提供最高质量的证据,以辅助临床决策。然而,文献中的局限性可能导致 EPC 系统评价(SR)的结论不确定。EPC 计划开展了试点项目,以了解利用卫生系统数据增强 SR 结果以基于真实世界经验为医疗保健决策提供信心的可行性、益处和挑战。
三个承包商(每家 EPC 位于不同的卫生系统)选择了其中心最近完成的 SR,并确定了电子健康记录(EHR)数据可能解决的证据空白。所有试点项目的主题都针对临床问题,而不是 EPC 报告中常见的医疗服务提供、医疗服务组织或医疗服务差异主题。每个 EPC 涵盖的主题领域包括婴儿癫痫、偏头痛和髋部骨折。EPC 还跟踪了开展补充分析所需的额外资源。该工作组于 2022-2023 年每月开会一次,讨论试点项目的挑战和经验教训。
两项补充数据分析填补了 SR 中发现的证据空白(提高了证据的确定性,提高了适用性),第三项填补了卫生系统知识空白。项目挑战分为三个主题:监管和后勤问题、数据收集和分析以及结果的解释和呈现。由于 EHR 中数据不一致或缺失,因此在捕获关键临床变量方面的能力有限,这是一个主要限制。工作组发现,在进行 SR 的同时进行补充数据分析是可行的,但会增加审查过程的大量时间和资源(EPC 之间完成试点项目的估计总时间从 283 到 595 小时不等),并且增加的工作量和资源增加的附加值有限。
用 EHR 数据分析补充现有 SR 需要耗费大量资源,并且整个过程需要专业技能。虽然使用 EHR 数据进行研究具有生成真实世界证据和填补知识空白的巨大潜力,但这些数据可能还没有准备好与 SR 一起常规使用。