Key Data Elements for Longitudinal Tracking of Physical Function: A Modified Delphi Consensus Study

Author:

Young Daniel L12ORCID,Fritz Julie M3,Kean Jacob4,Thackeray Anne35,Johnson Joshua K67ORCID,Dummer Danica3,Passek Sandra8,Stilphen Mary8,Beck Donna9,Havrilla Suzanne9,Hoyer Erik H2,Friedman Michael10,Daley Kelly10,Marcus Robin L3

Affiliation:

1. Department of Physical Therapy, University of Nevada , Las Vegas, Nevada, USA

2. Department of Physical Medicine and Rehabilitation, Johns Hopkins University , Baltimore, Maryland, USA

3. Department of Physical Therapy and Athletic Training, University of Utah , Salt Lake City, Utah, USA

4. Department of Population Health Sciences, University of Utah , Salt Lake City, Utah, USA

5. Department of Population Sciences, University of Utah , Salt Lake City, Utah, USA

6. Department of Physical Medicine and Rehabilitation, Cleveland Clinic , Cleveland, Ohio, USA

7. Center for Value-Based Care Research, Cleveland Clinic , Cleveland, Ohio, USA

8. Cleveland Clinic Rehabilitation and Sports Therapy, Cleveland Clinic , Cleveland, Ohio, USA

9. Johns Hopkins Home Health Services , Baltimore, Maryland, USA

10. Johns Hopkins Health System , Baltimore, Maryland, USA

Abstract

Abstract Objective Physical function is associated with important outcomes, yet there is often a lack of continuity in routine assessment. The purpose of this study was to determine data elements and instruments for longitudinal measurement of physical function in routine care among patients transitioning from acute care hospital setting to home with home health care. Methods A 4-round modified Delphi process was conducted with 13 participants with expertise in physical therapy, health care administration, health services research, physiatry/medicine, and health informatics. Three anonymous rounds identified important and feasible data elements. A fourth in-person round finalized the recommended list of individual data elements. Next, 2 focus groups independently provided additional perspectives from other stakeholders. Results Response rates were 100% for online rounds 1, 3, and 4 and 92% for round 2. In round 1, 9 domains were identified: physical function, participation, adverse events, behavioral/emotional health, social support, cognition, complexity of illness/disease burden, health care utilization, and demographics. Following the fourth round, 27 individual data elements were recommended. Of these, 20 (74%) are “administrative” and available from most hospital electronic medical records. Additional focus groups confirmed these selections and provided input on standardizing collection methods. A website has been developed to share these results and invite other health care systems to participate in future data sharing of these identified data elements. Conclusion A modified Delphi consensus process was used to identify critical data elements to track changes in patient physical function in routine care as they transition from acute hospital to home with home health. Impact Expert consensus on comprehensive and feasible measurement of physical function in routine care provides health care professionals and institutions with guidance in establishing discrete medical records data that can improve patient care, discharge decisions, and future research.

Funder

Center for Health Services Training and Research

Publisher

Oxford University Press (OUP)

Subject

Physical Therapy, Sports Therapy and Rehabilitation

Reference51 articles.

1. Objectively measured physical activity and its association with functional independence, quality of life and in-hospital course of recovery in elderly patients with proximal femur fractures: a prospective cohort study;Marsault;Rehabil Res Pract,2020

2. Surrogate and physician understanding of patients’ preferences for living permanently in a nursing home;Mattimore;J Am Geriatr Soc,1997

3. Fear of loss of independence and nursing home admission in older Australians;Quine;Health Soc Care Community,2007

4. Hospitalization-associated disability: “she was probably able to ambulate, but I’m not sure”;Covinsky;JAMA,2011

Cited by 3 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3