用临床决策支持解决腰部疼痛护理的"黑洞":以用户为中心的设计和初步可用性研究
Robert S Rudin1, Patricia M Herman2, Robert Vining3
11, RAND, 20 Park Plaza, Suite 910, Boston, MA, 02116, United States, 1 6173382059 ext 8636, 1 6173577470.
JMIR formative research
|February 4, 2025
概括
一个新的工具帮助临床医生通过提供基于证据的建议来诊断和治疗腰部疼痛 (LBP). 这种以用户为中心的系统旨在改善个性化的患者护理,并简化LBP管理的临床决策.
科学领域:
- 生物医学信息学 生物医学信息学
- 临床决策支持系统 临床决策支持系统
- 肌肉骨健康 肌肉骨健康
背景情况:
- 腰部疼痛 (LBP) 是一种普遍的疾病,具有重大的个人和社会影响.
- 对LBP的非特定诊断阻碍了基于证据和个性化的治疗.
- 现有的护理往往缺乏特异性,防止量身定制的治疗方法.
研究的目的:
- 设计,开发和测试LBP诊断和治疗的决策支持工具的可用性.
- 为治疗LBP的临床医生创建一个基于现有证据的系统.
- 将初步开发的重点放在脊椎治疗护理应用上.
主要方法:
- 采用了以用户为中心的三步设计过程.
- 通过证据审查确定了临床需求.
- 使用性使用基于场景的采访和系统可用性量表 (SUS) 进行了评估.
主要成果:
- 该工具支持12种可能的工作诊断 (3种宏观, 9种微观) 与相关的治疗方法和患者教育材料.
- 用户反导致了设计改进,包括有组织的输入,持续的患者摘要和增强的信息访问.
- 该原型获得了SUS得分84.75 (顶部第10百分位数),表明了高可用性.
- 临床医生发现该工具易于使用,预计会通过实践和整合到电子健康记录中来改善护理.
结论:
- 一种系统的,以用户为中心的方法产生了一个受欢迎的LBP决策支持工具原型.
- 该工具有可能提高LBP的临床评估和诊断特异性.
- 进一步的发展可以使个性化治疗规划和患者在护理地点的教育成为可能.
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