Assessing Real-World Data From Electronic Health Records for Health Technology Assessment: The SUITABILITY Checklist: A Good Practices Report of an ISPOR Task Force

被引:3
|
作者
Fleurence, Rachael L. [1 ]
Kent, Seamus [2 ]
Adamson, Blythe [3 ]
Tcheng, James [4 ]
Balicer, Ran [5 ]
Ross, Joseph S. [6 ]
Haynes, Kevin [7 ]
Muller, Patrick [8 ]
Campbell, Jon [9 ]
Bouee-Benhamiche, Elsa [10 ]
Marti, Sebastian Garcia [1 ,11 ]
Ramsey, Scott [12 ]
机构
[1] Off Director, NIH, Bldg 1,9000 Rockville Pike, Bethesda, MD 20892 USA
[2] Erasmus Univ, Erasmus Sch Hlth & Policy Management, Rotterdam, Netherlands
[3] Flatiron Hlth, New York, NY USA
[4] Duke Univ, Durham, NC USA
[5] Clalit Hlth Serv, Tel Aviv, Israel
[6] Yale Univ, Yale Sch Med, New Haven, CT USA
[7] Janssen Res & Dev, Titusville, NJ USA
[8] Natl Inst Hlth & Care Excellence, Ctr Guidelines, London, England
[9] Natl Pharmaceut Council, Washington, DC USA
[10] Inst Natl Canc, Publ Hlth & Healthcare Div, Boulogne Billancourt, France
[11] Inst Clin Effectiveness & Hlth Policy, Hlth Technol Assessment & Hlth Econ Dept, Buenos Aires, Argentina
[12] Fred Hutchinson Canc Ctr, Hutchinson Inst Canc Outcomes Res, 100 Fairview Ave N, Seattle, WA 98109 USA
关键词
data quality; electronic health records; health technology assessment; real-world data; real-world evidence; QUALITY;
D O I
10.1016/j.jval.2024.01.019
中图分类号
F [经济];
学科分类号
02 ;
摘要
This ISPOR Good Practices report provides a framework for assessing the suitability of electronic health records data for use in health technology assessments (HTAs). Although electronic health record (EHR) data can fill evidence gaps and improve decisions, several important limitations can affect its validity and relevance. The ISPOR framework includes 2 components: data delineation and data fitness for purpose. Data delineation provides a complete understanding of the data and an assessment of its trustworthiness by describing (1) data characteristics; (2) data provenance; and (3) data governance. Fitness for purpose comprises (1) data reliability items, ie, how accurate and complete the estimates are for answering the question at hand and (2) data relevance items, which assess how well the data are suited to answer the particular question from a decision making perspective. The report includes a checklist specific to EHR data reporting: the ISPOR SUITABILITY Checklist. It also provides recommendations for HTA agencies and policy makers to improve the use of EHR-derived data over time. The report concludes with a discussion of limitations and future directions in the field, including the potential impact from the substantial and rapid advances in the diffusion and capabilities of large language models and generative artificial intelligence. The report 's immediate audiences are HTA evidence developers and users. We anticipate that it will also be useful to other stakeholders, particularly regulators and manufacturers, in the future.
引用
收藏
页码:692 / 701
页数:10
相关论文
共 50 条
  • [31] The use of Real-World Data (RWD) by Health Technology Assessment (HTA) agencies
    Karen, K.
    EUROPEAN JOURNAL OF PUBLIC HEALTH, 2021, 31 : 218 - 218
  • [32] Application of Constrained Optimization Methods in Health Services Research: Report 2 of the ISPOR Optimization Methods Emerging Good Practices Task Force
    Crown, William
    Buyukkaramikli, Nasuh
    Sir, Mustafa Y.
    Thokala, Praveen
    Morton, Alec
    Marshall, Deborah A.
    Tosh, Jonathan C.
    Ijzerman, Maarten J.
    Padula, William V.
    Pasupathy, Kalyan S.
    VALUE IN HEALTH, 2018, 21 (09) : 1019 - 1028
  • [33] Preliminary assessment of the data appropriateness of electronic health records for real-world studies: A survey of hospitals in a developing region in China
    Yu, Yuelin
    Zhuo, Lin
    Meng, Ruogu
    Guo, Wanqian
    Chen, Yuanyuan
    Zhang, Yunjing
    Chen, Ying
    Shi, Hongjing
    Lin, Zhi
    Zhan, Siyan
    Wang, Shengfeng
    CHINESE MEDICAL JOURNAL, 2024, 137 (09) : 1130 - 1131
  • [34] Preliminary assessment of the data appropriateness of electronic health records for real-world studies: A survey of hospitals in a developing region in China
    Yu Yuelin
    Zhuo Lin
    Meng Ruogu
    Guo Wanqian
    Chen Yuanyuan
    Zhang Yunjing
    Chen Ying
    Shi Hongjing
    Lin Zhi
    Zhan Siyan
    Wang Shengfeng
    中华医学杂志英文版, 2024, 137 (09)
  • [35] Synthetic Data as a Proxy for Real-World Electronic Health Records in the Patient Length of Stay Prediction
    Bietsch, Dominik
    Stahlbock, Robert
    Voss, Stefan
    SUSTAINABILITY, 2023, 15 (18)
  • [36] Real-world treatment response in Japanese patients with cancer using unstructured data from electronic health records
    Araki, Kenji
    Matsumoto, Nobuhiro
    Togo, Kanae
    Yonemoto, Naohiro
    Ohki, Emiko
    Xu, Linghua
    Hasegawa, Yoshiyuki
    Inoue, Hirofumi
    Yamashita, Sakiko
    Miyazaki, Taiga
    HEALTH AND TECHNOLOGY, 2023, 13 (02) : 253 - 262
  • [37] Real-World Evidence of COVID-19 Patients' Data Quality in the Electronic Health Records
    Binkheder, Samar
    Asiri, Mohammed Ahmed
    Altowayan, Khaled Waleed
    Alshehri, Turki Mohammed
    Alzarie, Mashhour Faleh
    Aldekhyyel, Raniah N.
    Almaghlouth, Ibrahim A.
    Almulhem, Jwaher A.
    HEALTHCARE, 2021, 9 (12)
  • [38] Real-world treatment response in Japanese patients with cancer using unstructured data from electronic health records
    Kenji Araki
    Nobuhiro Matsumoto
    Kanae Togo
    Naohiro Yonemoto
    Emiko Ohki
    Linghua Xu
    Yoshiyuki Hasegawa
    Hirofumi Inoue
    Sakiko Yamashita
    Taiga Miyazaki
    Health and Technology, 2023, 13 : 253 - 262
  • [39] The joint ISPOR-ISPE Special Task Force on real-world evidence in health care decision making: an interview with Marc Berger
    Berger, Marc L.
    JOURNAL OF COMPARATIVE EFFECTIVENESS RESEARCH, 2018, 7 (01) : 11 - 13
  • [40] Assessing the suitability of general practice electronic health records for clinical prediction model development: a data quality assessment
    Sharmala Thuraisingam
    Patty Chondros
    Michelle M. Dowsey
    Tim Spelman
    Stephanie Garies
    Peter F. Choong
    Jane Gunn
    Jo-Anne Manski-Nankervis
    BMC Medical Informatics and Decision Making, 21