Evaluation of activities of daily living using an electronic version of the Longshi Scale in patients with stroke: reliability, consistency, and preference

被引:0
作者
Xue, Kaiwen [1 ]
Li, Weihao [1 ]
Liu, Fang [1 ]
Liu, Xiangxiang [2 ]
Wong, John [3 ,4 ]
Zhou, Mingchao [1 ]
Cai, Chunli [5 ]
Long, Jianjun [1 ]
Li, Jiehui [1 ,6 ]
Zhang, Zeyu [1 ]
Hou, Weilin [7 ]
Nie, Guohui [1 ]
Wang, Yulong [1 ]
机构
[1] Shenzhen Univ Hlth Sci Ctr, Peoples Hosp Shenzhen 2, Affiliated Hosp 1, Dept Rehabil, Shenzhen, Peoples R China
[2] Shenzhen Third Peoples Hosp, Natl Clin Res Ctr Infect Dis Shenzhen, Shenzhen, Peoples R China
[3] MGH Inst Hlth Profess, Sch Nursing, Boston, MA USA
[4] MGH Inst Hlth Profess, Dept Occupat Therapy, Boston, MA USA
[5] Shenzhen Yilanda Technol Co Ltd, Operat Dept, Shenzhen, Peoples R China
[6] Shandong Univ Tradit Chinese Med, Sch Rehabil Med, Jinan, Shandong, Peoples R China
[7] Changzhou Hosp Tradit Chinese Med, Dept Rehabil, Changzhou, Jiangsu, Peoples R China
关键词
Longshi Scale; Activities of daily living; Electronic version; WeChat version; Stroke; DIGITAL HEALTH; PAPER; QUESTIONNAIRE; EQUIVALENCE; TOOL;
D O I
10.1186/s12911-024-02508-0
中图分类号
R-058 [];
学科分类号
摘要
Background The Longshi Scale is a pictorial assessment tool for evaluating activities of daily living (ADL) in patients with stroke. The paper-based version presents challenges; thus, the WeChat version was created to enhance accessibility. Herein, we aimed to validate the inter-rater and test-retest reliabilities of the WeChat version of the Longshi Scale and explore its potential clinical applications. Methods We recruited 115 patients with stroke in the study. The ADL results of each patient were assessed using both the WeChat and paper-based version of the Longshi Scale; each evaluation was conducted by 28 health professionals and 115 caregivers separately. To explore the test-retest reliability of the WeChat version, 22 patients were randomly selected and re-evaluated by health professionals using the WeChat version. All evaluation criteria were recorded, and all evaluators were surveyed to indicate their preference between the two versions. Results Consistency between WeChat and the paper-based Longshi Scale was high for ADL scores by health professionals (ICC2,1 = 0.803-0.988) and caregivers (ICC2,1 = 0.845-0.983), as well as for degrees of disability (kappa w = 0.870 by professionals; kappa w = 0.800 by caregivers). Bland-Altman analysis showed no significant discrepancies. The WeChat version exhibited good test-retest reliability (kappa w = 0.880). The WeChat version showed similar inter-rater reliability in terms of the ADL score evaluated using the paper-based version (ICC2,1 = 0.781-0.941). The time to complete assessments did not differ significantly, although the WeChat version had a shorter information entry time (P < 0.001, 95% confidence interval: -43.463 to -15.488). Health professionals favored the WeChat version (53.6%), whereas caregivers had no significant preference. Conclusions The WeChat version of the Longshi Scale is reliable and serves as a suitable alternative for health professionals and caregivers to assess ADL levels in patients with stroke. The WeChat version of the Longshi Scale is considered user-friendly by health professionals, although it is not preferred by caregivers. Trial registration This study was approved by the Ethics Committee of the Second People's Hospital of Shenzhen (approval number: 20210812003-FS01) and registered on the Clinical Trial Register Center website: clinicaltrials.gov on January 31, 2022 (registration no.: NCT05214638).
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页数:12
相关论文
共 37 条
  • [1] [Anonymous], 2019, Assessment of self-care abilities in daily life for persons with disability, P1
  • [2] The history and future of digital health in the field of behavioral medicine
    Arigo, Danielle
    Jake-Schoffman, Danielle E.
    Wolin, Kathleen
    Beckjord, Ellen
    Hekler, Eric B.
    Pagoto, Sherry L.
    [J]. JOURNAL OF BEHAVIORAL MEDICINE, 2019, 42 (01) : 67 - 83
  • [3] Digital advantage in the COVID-19 response: perspective from Canada's largest integrated digitalized healthcare system
    Baumgart, Daniel C.
    [J]. NPJ DIGITAL MEDICINE, 2020, 3 (01)
  • [4] Designing and Implementing an Electronic Health Record-Embedded Card Study in Primary Care: Methods and Considerations
    Bunce, Arwen
    Middendorf, Mary
    Hoopes, Megan
    Donovan, Jenna
    Gold, Rachel
    [J]. ANNALS OF FAMILY MEDICINE, 2022, 20 (04) : 348 - 352
  • [5] Equivalence of electronic and paper-based patient-reported outcome measures
    Campbell, Niloufar
    Ali, Faraz
    Finlay, Andrew Y.
    Salek, Sam S.
    [J]. QUALITY OF LIFE RESEARCH, 2015, 24 (08) : 1949 - 1961
  • [6] The value of WeChat application in chronic diseases management in China
    Chen, Xin
    Zhou, Xi
    Li, Huan
    Li, Jinlan
    Jiang, Hua
    [J]. COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE, 2020, 196
  • [7] China Internet Network Information Center (CNNIC), 2022, The 50th Statistical Report on the Development of China's Internet Network
  • [8] Recommendations on Evidence Needed to Support Measurement Equivalence between Electronic and Paper-Based Patient-Reported Outcome (PRO) Measures: ISPOR ePRO Good Research Practices Task Force Report
    Coons, Stephen Joel
    Gwaltney, Chad J.
    Hays, Ron D.
    Lundy, J. Jason
    Sloan, Jeff A.
    Revicki, Dennis A.
    Lenderking, William R.
    Cella, David
    Basch, Ethan
    [J]. VALUE IN HEALTH, 2009, 12 (04) : 419 - 429
  • [9] Health IT-enabled Care for Underserved Rural Populations: The Role of Nursing
    Effken, Judith A.
    Abbott, Patricia
    [J]. JOURNAL OF THE AMERICAN MEDICAL INFORMATICS ASSOCIATION, 2009, 16 (04) : 439 - 445
  • [10] mHealth and the change it represents
    Harvey, Edward J.
    [J]. CANADIAN JOURNAL OF SURGERY, 2019, 62 (03) : 148 - 148