为急性创伤性脑损伤康复的全国协作学习医疗系统奠定基础:CARE4TBI 第一年的经验

IF 2.6 Q2 HEALTH POLICY & SERVICES
Cynthia L. Beaulieu, Jennifer Bogner, Chad Swank, Kimberly Frey, Mary K. Ferraro, Candace Tefertiller, Timothy R. Huerta, John D. Corrigan, Erinn M. Hade
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引用次数: 0

摘要

导言 学习型医疗系统(LHS)是一种合作模式,它不断检查、评估和重新评估数据,最终将其转化为知识。建立这种模式需要大量高质量的数据。本文旨在描述合作发现过程,该过程用于识别和标准化多学科住院患者日常康复过程中记录的临床数据,从而获取这些数据以开展比较有效性研究。 方法 CARE4TBI 是一项前瞻性观察研究,旨在获取美国 15 个 TBI 示范系统中心标准住院康复记录工作流程中的临床数据。项目开发由三组利益相关者指导:治疗代表工作组 (TRWG),由来自职业、物理、语言和娱乐治疗的一线治疗师组成;康复领导代表小组 (RLRG);信息学和信息技术小组 (IIT)。在为期 12 个月的时间里,三个工作组和研究领导小组确定了创伤性脑损伤住院康复期间日常文件中的治疗内容。 结果 各小组集思广益,创建了 98 个不同的数据类别,每个类别包含一系列数据元素,共 850 个离散数据元素。自由形式的数据被分为三个大类,通过审查和讨论,减少为两类前瞻性数据收集--疗程级数据和治疗活动级数据。确定了 12 个疗程数据元素和 54 项治疗活动,每项活动都包含活动组成部分、实施方法和设备或用品等离散子类别。在这 54 项活动中,共识别出 561 个不同的有意义数据元素。 讨论 CARE4TBI 数据发现过程证明了在多个学科和康复场所识别和捕获有意义的大量高质量治疗数据的可行性,为急性脑外伤康复的 LHS 联盟奠定了基础。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Setting the foundation for a national collaborative learning health system in acute TBI rehabilitation: CARE4TBI Year 1 experience

Setting the foundation for a national collaborative learning health system in acute TBI rehabilitation: CARE4TBI Year 1 experience

Introduction

A learning health system (LHS) approach is a collaborative model that continuously examines, evaluates, and re-evaluates data eventually transforming it into knowledge. High quantity of high-quality data are needed to establish this model. The purpose of this article is to describe the collaborative discovery process used to identify and standardize clinical data documented during daily multidisciplinary inpatient rehabilitation that would then allow access to these data to conduct comparative effectiveness research.

Methods

CARE4TBI is a prospective observational research study designed to capture clinical data within the standard inpatient rehabilitation documentation workflow at 15 TBI Model Systems Centers in the US. Three groups of stakeholders guided project development: therapy representative work group (TRWG) consisting of frontline therapists from occupational, physical, speech-language, and recreational therapies; rehabilitation leader representative group (RLRG); and informatics and information technology team (IIT). Over a 12-month period, the three work groups and research leadership team identified the therapeutic components captured within daily documentation throughout the duration of inpatient TBI rehabilitation.

Results

Data brainstorming among the groups created 98 distinct categories of data with each containing a range of data elements comprising a total of 850 discrete data elements. The free-form data were sorted into three large categories and through review and discussion, reduced to two categories of prospective data collection—session-level and therapy activity-level data. Twelve session data elements were identified, and 54 therapy activities were identified, with each activity containing discrete sub-categories for activity components, method of delivery, and equipment or supplies. A total of 561 distinct meaningful data elements were identified across the 54 activities.

Discussion

The CARE4TBI data discovery process demonstrated feasibility in identifying and capturing meaningful high quantity and high-quality treatment data across multiple disciplines and rehabilitation sites, setting the foundation for a LHS coalition for acute traumatic brain injury rehabilitation.

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来源期刊
Learning Health Systems
Learning Health Systems HEALTH POLICY & SERVICES-
CiteScore
5.60
自引率
22.60%
发文量
55
审稿时长
20 weeks
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