Investigative Ophthalmology & Visual Science Cover Image for Volume 65, Issue 7
June 2024
Volume 65, Issue 7
Open Access
ARVO Annual Meeting Abstract  |   June 2024
Economic evaluation of glaucoma screening in high myopia population: a Markov decision model.
Author Affiliations & Notes
  • Zihan Li
    Peking University Third Hospital, Beijing, Beijing, China
    Beijing Tongren Hospital CMU, Beijing, China
  • Zhe Pan
    Peking University Third Hospital, Beijing, Beijing, China
  • Wenqing Liu
    Beijing Tongren Hospital CMU, Beijing, China
  • Tien Y Wong
    Tsinghua University, Beijing, Beijing, China
  • Jost B. Jonas
    Universitat Heidelberg, Heidelberg, Baden-Württemberg, Germany
  • Ya Xing Wang
    Beijing Tongren Hospital CMU, Beijing, China
  • Footnotes
    Commercial Relationships   Zihan Li None; Zhe Pan None; Wenqing Liu None; Tien Wong None; Jost Jonas None; Ya Xing Wang None
  • Footnotes
    Support  None
Investigative Ophthalmology & Visual Science June 2024, Vol.65, 2152. doi:
  • Views
  • Share
  • Tools
    • Alerts
      ×
      This feature is available to authenticated users only.
      Sign In or Create an Account ×
    • Get Citation

      Zihan Li, Zhe Pan, Wenqing Liu, Tien Y Wong, Jost B. Jonas, Ya Xing Wang; Economic evaluation of glaucoma screening in high myopia population: a Markov decision model.. Invest. Ophthalmol. Vis. Sci. 2024;65(7):2152.

      Download citation file:


      © ARVO (1962-2015); The Authors (2016-present)

      ×
  • Supplements
Abstract

Purpose : Glaucoma is a leading cause of blindness worldwide and its screening in general populations has been proven to be no economic benefits due to low prevalence and high false-positive rate in whole population. Glaucoma susceptibility increased in highly myopic eyes. Thus, it is assumed that glaucoma screening in high myopia participants, which is a high-risk population, might be more efficient. Our study aims to assess and compare the economic benefit of high myopia population screening of glaucoma, with glaucoma screening in whole population.

Methods : We developed Markov decision models for whole population and high myopia population glaucoma screening to evaluate costs and utilities of community-level screening versus opportunistic case (no screening) finding from a societal perspective. A cohort of individuals was followed in the model from age 20 years through a total of 80 1-year Markov cycles (lifelong). We did a meta-analysis of glaucoma prevalence studies based on previous studies and unpublished data to obtain prevalence for glaucoma. Screening costs were collected from community hospitals and treatment costs were collected from a tertiary Chinese hospital. Main outcomes were incremental cost-utility ratios (ICURs) using quality-adjusted life-years (QALYs). We did one-way deterministic sensitivity analysis to reflect uncertainty around ICRUs.

Results : Compared to no screening, high myopia population screening of glaucoma in China is predicted to result in an ICUR of US$785 (95%CI 527 to 1,042), which is below the willing-to-pay (WTP) threshold of one to three times gross domestic product (GDP). Whole population screening of glaucoma in China is predicted to result in an ICUR of US$12,527 (95% CI 12,348 to 12,827) than no screening, which is at the boundary value of WTP threshold. Findings were robust in all sensitivity analyses.

Conclusions : High myopia population glaucoma screening is a cost-effectiveness method comparing to whole population screening. High risk population screening might be a potential strategy of glaucoma screening. Further analysis might focus on the rural-urban differences in order to explore the feasibility of national promotion.

This abstract was presented at the 2024 ARVO Annual Meeting, held in Seattle, WA, May 5-9, 2024.

 

×
×

This PDF is available to Subscribers Only

Sign in or purchase a subscription to access this content. ×

You must be signed into an individual account to use this feature.

×