Kaufman Kenton R, Bernhardt Kathie, Murphy Shawn, Archer Marah, Brandt Jeffrey M, Bowman Leon, Phillips Bart
Department of Orthopedic Surgery, Mayo Clinic, Rochester, MN, United States.
Thought Leadership and Innovation Foundation, McLean, VA, United States.
Arch Rehabil Res Clin Transl. 2024 Jul 1;6(3):100356. doi: 10.1016/j.arrct.2024.100356. eCollection 2024 Sep.
To describe the development of a national Limb Loss and Preservation Registry (LLPR) designed to collect, standardize, and report patient outcomes data on limb loss and limb difference in the United States.
Clinical Data Registry.
The LLPR was developed through consensus of key stakeholders from academia, industry, patient advocacy, and payers as well as the available scientific evidence. Data are collected from multiple sources, including hospitals, providers, and patients.
Data are collected from all 50 states.
Not applicable.
More than 1100 trigger codes are used to identify patients who have limb difference or have received a limb preservation or amputation procedure. Once a patient is identified, all subsequent episodes of care are collected for the life of the patient. An integrated model is used for collecting, validating, cleaning, transforming, aggregating, and storing the data received from all sources. The information contained is then provided in a thorough and easily comprehensible manner.
To date, the LLPR has captured data from >435,000 patients and >11.5 million episodes of care.
The LLPR creates opportunities to apply large-data analytical methodologies to provides caregivers, researchers, manufacturers, payers, and policy makers the tools needed to improve the quality of clinical care, quantify patient-centric outcomes, develop clinical practice guidelines, assess patient quality of life, identify appropriate technology, and guide creation of national policies to allocate scarce sources appropriately.
描述旨在收集、规范和报告美国肢体缺失与保留登记处(LLPR)关于肢体缺失和肢体差异患者结局数据的全国性登记处的发展情况。
临床数据登记处。
LLPR是通过学术界、行业、患者权益倡导者、支付方等关键利益相关者的共识以及现有科学证据而建立的。数据从多个来源收集,包括医院、医疗服务提供者和患者。
数据从美国所有50个州收集。
不适用。
使用1100多个触发代码来识别有肢体差异或接受过肢体保留或截肢手术的患者。一旦识别出患者,便会收集其后续一生的所有护理事件。采用综合模型来收集、验证、清理、转换、汇总和存储从所有来源接收的数据。然后以全面且易于理解的方式提供所包含的信息。
截至目前,LLPR已收集了超过43.5万名患者的数据以及超过1150万次护理事件。
LLPR为应用大数据分析方法创造了机会,为护理人员、研究人员、制造商、支付方和政策制定者提供了改善临床护理质量、量化以患者为中心的结局、制定临床实践指南、评估患者生活质量、确定合适技术以及指导制定合理分配稀缺资源的国家政策所需的工具。