Identifying Frailty in Primary Care: Implementation of an Electronic Medical Record-based Frailty Index

识别初级保健中的衰弱:实施基于电子病历的衰弱指数

基本信息

项目摘要

Project Summary This Beeson award seeks to equip the candidate, Dr. Kathryn E. Callahan, with the expertise to become an independent investigator to advance use of aging-related metrics and interventions to promote health, function, and quality of life in frail and at-risk older adults. Frailty is prevalent among older adults, and associated with negative outcomes, including hospitalizations, mobility disability, admission to skilled nursing facilities, and mortality. Despite efforts to define and quantify frailty, time and resource constraints limit the feasibility of frailty measures in clinical practice. Dr. Callahan's preliminary work supports the feasibility of translating anEMR- based Frailty Index, or eFI – into the Wake Forest Baptist Health (WFBH) EMR, and demonstrates an initial association between eFI score and hospitalizations and mortality. The proposed research project represents critical next steps: (1) to adapt and refine the eFI using ambulatory care data, (2) assess its predictive value for healthcare outcomes for older adults, and (3) conduct a pilot of implementation in Medicare Shared Savings Program/Next Generation Accountable Care Organization primary care practices, to collect critical data regarding feasibility, acceptability, and effectiveness. The scientific goal is to develop and implement an index to define a population of frail older adults who would benefit from personalized evidence-based interventions. This work is essential to inform larger-scale implementation trials of interventions to mediate negative and costly health outcomes for frail older adults. We hypothesize that self-report and functional data from Annual Wellness Visits (AWVs) in the EMR will further refine the predictive value of the eFI; and that implementation of the eFI will be feasible and acceptable. This project is supported by engaged mentors (Drs. Williamson and Boustani) and a highly interactive, inter-disciplinary advisory committee (Drs. Foley, Rejeski, and Pajewski) whose expertise and complementary skills are a noteworthy asset to this project. We propose the adaptation and refinement of the eFI within the WFBH EMR, using data from older adults enrolled in the WFBH MSSP/ Next Gen ACO (Aim 1): we will integrate AWV data, and refine the predictive value of eFI scores in this population. We will then conduct a pilot study implementing the adapted eFI score in six MSSP/Next Gen ACO primary care practices, and follow health outcomes. The research proposed aligns with an NIA priority to improve the health, well-being, and independence of adults as they age. It will also provide essential training for the candidate, who will establish expertise in implementation science, achieve fluency in clinical informatics, and develop competencies in leading implementation trials. This approach provides the ideal platform to advance the candidate's career as an independent investigator and provides the foundation to establish frailty metrics in practice, leveraging the learning health system to implement interventions to improve health and function.
项目总结

项目成果

期刊论文数量(15)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
Automated Frailty Screening At-Scale for Pre-Operative Risk Stratification Using the Electronic Frailty Index.
  • DOI:
    10.1111/jgs.17027
  • 发表时间:
    2021-05
  • 期刊:
  • 影响因子:
    6.3
  • 作者:
    Callahan KE;Clark CJ;Edwards AF;Harwood TN;Williamson JD;Moses AW;Willard JJ;Cristiano JA;Meadows K;Hurie J;High KP;Meredith JW;Pajewski NM
  • 通讯作者:
    Pajewski NM
Predicting Future Mobility Limitation in Older Adults: A Machine Learning Analysis of Health ABC Study Data.
预测老年人未来的行动限制:Health ABC 研究数据的机器学习分析。
Introducing Aquifer Geriatrics, the American Geriatrics Society National Online Curriculum.
  • DOI:
    10.1111/jgs.15813
  • 发表时间:
    2019-04
  • 期刊:
  • 影响因子:
    6.3
  • 作者:
    Sehgal, Mandi;Syed, Quratulain;Callahan, Kathryn E.;Powers, Becky B.;Eleazer, G. Paul;Gleason, Lauren L.;Ramaswamy, Ravishankar;Sauvigne, Karen;Leipzig, Rosanne M.;Shah, Amit
  • 通讯作者:
    Shah, Amit
Big 'G' and Little 'g' Geriatrics Education for Physicians.
Embedding Function into Health Care.
将功能融入医疗保健。
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Kathryn Callahan其他文献

Kathryn Callahan的其他文献

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{{ truncateString('Kathryn Callahan', 18)}}的其他基金

Identifying Frailty in Primary Care: Implementation of an Electronic Medical Record-based Frailty Index
识别初级保健中的衰弱:实施基于电子病历的衰弱指数
  • 批准号:
    9925716
  • 财政年份:
    2018
  • 资助金额:
    $ 23.15万
  • 项目类别:
Identifying Frailty in Primary Care: Implementation of an Electronic Medical Record-based Frailty Index
识别初级保健中的衰弱:实施基于电子病历的衰弱指数
  • 批准号:
    9769615
  • 财政年份:
    2018
  • 资助金额:
    $ 23.15万
  • 项目类别:
Identifying Frailty in Primary Care: Implementation of an Electronic Medical Record-based Frailty Index
识别初级保健中的衰弱:实施基于电子病历的衰弱指数
  • 批准号:
    10161728
  • 财政年份:
    2018
  • 资助金额:
    $ 23.15万
  • 项目类别:

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