The Accuracy of a Web-Based Visual Acuity Self-assessment Tool Performed Independently by Eye Care Patients at Home: Method Comparison Study

被引:10
|
作者
Claessens, Janneau [1 ,4 ]
van Egmond, Juultje [1 ]
Wanten, Joukje [2 ]
Bauer, Noel [2 ]
Nuijts, Rudy [2 ]
Wisse, Robert [1 ,3 ]
机构
[1] Univ Med Ctr Utrecht, Dept Ophthalmol, Utrecht, Netherlands
[2] Maastricht Univ, Med Ctr, Univ Eye Clin Maastricht, Maastricht, Netherlands
[3] Xpert Clin Oogzorg, Zeist, Netherlands
[4] Univ Med Ctr Utrecht, Dept Ophthalmol, Heidelberglaan 100, NL-3584 CX Utrecht, Netherlands
关键词
eHealth; telemonitoring; telemedicine; telehealth; visual acuity; eye care; ophthalmology; COMPACT REDUCED LOGMAR; CHART; VARIABILITY; VALIDATION;
D O I
10.2196/41045
中图分类号
R19 [保健组织与事业(卫生事业管理)];
学科分类号
摘要
Background: Telehealth solutions can play an important role in increasing access to eye care. Web-based eye tests can enable individuals to self-assess their visual function remotely without the assistance of an eye care professional. A web-based tool for self-assessing visual acuity (VA) has previously been studied in controlled, supervised conditions. The accuracy of this tool when performed independently by patients in their home environment, using their own devices, has not yet been examined.Objective: The objective of this paper was to examine the accuracy of a web-based tool with respect to measuring VA in ophthalmic patients in their home environment, compared with a conventional in-hospital assessment using a Snellen chart (the gold standard). Methods: From April through September 2020, consecutive adult patients with uveitis at the University Medical Center Utrecht, the Netherlands, performed the web-based VA test at home (the index test) before their upcoming conventional VA assessment at the hospital (the reference test). The agreement between the 2 tests was assessed by the Bland-Altman analysis. Additional analyses were performed to investigate associations between clinical characteristics and the accuracy of the web-based test.Results: A total of 98 eyes in 59 patients were included in the study. The difference in VA between the index and reference tests was not significant, with a mean difference of 0.02 (SD 0.12) logMAR (P=.09) and 95% limits of agreement of -0.21 to 0.26 logMAR. The majority of the differences (77%) fell within the predetermined acceptable deviation limit of 0.15 logMAR. In addition, no patient characteristics or clinical parameters were found to significantly affect the accuracy of the web-based test.Conclusions: This web-based test for measuring VA is a valid tool for remotely assessing VA, also when performed independently by patients at home. Implementation of validated web-based tools like this in the health care system may represent a valuable step forward in revolutionizing teleconsultations and can provide individual patients with the opportunity to self-monitor changes in VA. This is particularly relevant when the patient's access to ophthalmic care is limited. Future developments should focus on optimizing the testing conditions at home to reduce outliers.
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页数:10
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  • [31] Web-based support for spouses of patients with life-threatening illness cared for in specialized home care - A feasibility study
    Tibell, Louise Haeger
    Alvariza, Anette
    Kreicbergs, Ulrika
    Wallin, Viktoria
    Steineck, Gunnar
    Holm, Maja
    [J]. PALLIATIVE & SUPPORTIVE CARE, 2022,
  • [32] My Team of Care Study: A Pilot Randomized Controlled Trial of a Web-Based Communication Tool for Collaborative Care in Patients With Advanced Cancer
    Voruganti, Teja
    Grunfeld, Eva
    Jamieson, Trevor
    Kurahashi, Allison M.
    Lokuge, Bhadra
    Krzyzanowska, Monika K.
    Mamdani, Muhammad
    Moineddin, Rahim
    Husain, Amna
    [J]. JOURNAL OF MEDICAL INTERNET RESEARCH, 2017, 19 (07)
  • [33] A Web-Based Communication Tool for Postoperative Follow-up and Pain Assessment at Home After Primary Knee Arthroplasty: Feasibility and Usability Study
    Rian, Torbjorn
    Sand, Kari
    Skogvoll, Eirik
    Klepstad, Pal
    Wik, Tina S.
    [J]. JMIR FORMATIVE RESEARCH, 2022, 6 (04)
  • [34] Self-administered, web-based screening of family history of cancer as a method to select appropriate patients for genetic assessment.
    Acheson, L. S.
    Lynn, A.
    Wiesner, G. L.
    [J]. CANCER RESEARCH, 2009, 69 (02) : 135S - 135S
  • [35] Factors Influencing the Use of a Web-Based Application for Supporting the Self-Care of Patients with Type 2 Diabetes: A Longitudinal Study
    Nijland, Nicol
    van Gemert-Pijnen, Julia E. W. C.
    Kelders, Saskia M.
    Brandenburg, Bart J.
    Seydel, Erwin R.
    [J]. JOURNAL OF MEDICAL INTERNET RESEARCH, 2011, 13 (03) : e71
  • [36] Impact of Web-Based Self-Scheduling on Finalization of Well-Child Appointments in a Primary Care Setting: Retrospective Comparison Study
    North, Frederick
    Nelson, Elissa M.
    Majerus, Rebecca J.
    Buss, Rebecca J.
    Thompson, Matthew C.
    Crum, Brian A.
    [J]. JMIR MEDICAL INFORMATICS, 2021, 9 (03)
  • [37] The Penn State Heart Assistant: A pilot study of a web-based intervention to improve self-care of heart failure patients
    Lloyd, Tom
    Buck, Harleah
    Foy, Andrew
    Black, Sara
    Pinter, Antony
    Pogash, Rosanne
    Eismann, Bobby
    Balaban, Eric
    Chan, John
    Kunselman, Allen
    Smyth, Joshua
    Boehmer, John
    [J]. HEALTH INFORMATICS JOURNAL, 2019, 25 (02) : 292 - 303
  • [38] Perspectives of Patients With Chronic Diseases on Future Acceptance of AI-Based Home Care Systems: Cross-Sectional Web-Based Survey Study
    Wang, Bijun
    Asan, Onur
    Mansouri, Mo
    [J]. JMIR HUMAN FACTORS, 2023, 10
  • [39] Ecosystem-driven business opportunity identification method and web-based tool with a case study of the electric vehicle home charging energy ecosystem in Denmark
    Ma Z.
    Christensen K.
    Rasmussen T.F.
    Jørgensen B.N.
    [J]. Energy Informatics, 5 (Suppl 4)
  • [40] Using a Web-Based Approach to Assess Test-Retest Reliability of the "Hypertension Self-Care Profile'' Tool in an Asian Population A Validation Study
    Koh, Yi Ling Eileen
    Lua, Yi Hui Adela
    Hong, Liyue
    Bong, Huey Shin Shirley
    Yeo, Ling Sui Jocelyn
    Tsang, Li Ping Marianne
    Ong, Kai Zhi
    Wong, Sook Wai Samantha
    Tan, Ngiap Chuan
    [J]. MEDICINE, 2016, 95 (09)