July 2019
Volume 60, Issue 9
Open Access
ARVO Annual Meeting Abstract  |   July 2019
Effectiveness of an educational intervention on glaucoma for a Mandarin-speaking population in Philadelphia: A proof of concept study
Author Affiliations & Notes
  • Stephanie Wey
    Sidney Kimmel Medical College at Thomas Jefferson University, Philadelphia, Pennsylvania, United States
  • Christopher Ramsay
    Sidney Kimmel Medical College at Thomas Jefferson University, Philadelphia, Pennsylvania, United States
  • Lucy Li
    Sidney Kimmel Medical College at Thomas Jefferson University, Philadelphia, Pennsylvania, United States
  • Daniel Lee
    Glaucoma, Wills Eye Hospital, Philadelphia, Pennsylvania, United States
    Sidney Kimmel Medical College at Thomas Jefferson University, Philadelphia, Pennsylvania, United States
  • Footnotes
    Commercial Relationships   Stephanie Wey, None; Christopher Ramsay, None; Lucy Li, None; Daniel Lee, None
  • Footnotes
    Support  None
Investigative Ophthalmology & Visual Science July 2019, Vol.60, 4450. doi:
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      Stephanie Wey, Christopher Ramsay, Lucy Li, Daniel Lee; Effectiveness of an educational intervention on glaucoma for a Mandarin-speaking population in Philadelphia: A proof of concept study. Invest. Ophthalmol. Vis. Sci. 2019;60(9):4450.

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

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Abstract

Purpose : To assess effectiveness of administering a brief educational program to a small population of Mandarin-speaking attendees at the Committed to Awareness through Research, Education and Support (CARES) Conference and analyze the utility of medical education as it relates to the under-recognized topic of glaucoma.

Methods : A retrospective review of survey data from the 2018 CARES Conference was performed. Participants were asked to respond “yes” or “no” to statements about ophthalmic care and identify 8 glaucoma risk factors on two surveys. One survey was administered prior to the educational program, which consisted of a Microsoft PowerPoint presentation given in Mandarin by a fluent volunteer. The other survey was offered immediately after the program. The following variables were examined: number of risk factors identified correctly, and correct affirmative answers to statements on eye care.

Results : Analysis was performed on the 17 participants that completed both surveys for the educational program at the conference. When asked to identify risk factors, participants improved their accuracy on average from 29% to 82% correct, resulting in a 53% relative improvement. Additionally, participant understanding improved on the importance of medication adherence, regular follow-ups, and glaucoma as a diagnosis, with relative improvements of 82%, 47%, 82%, respectively.

Conclusions : A short educational program consisting of a slideshow presentation was given to an urban, non-English-speaking population and showed promising results, yielding academic improvements on a post-survey when compared to a pre-survey. Patient education is an underutilized resource in the improvement of outcomes and optimization of patient management. Further studies on a larger scale are needed to accurately gauge the benefit of patient education on glaucoma for specific urban populations in the U.S.

This abstract was presented at the 2019 ARVO Annual Meeting, held in Vancouver, Canada, April 28 - May 2, 2019.

 

Table 1. Pre- and post-survey risk factor identification and percent correct. Relative improvement was calculated from the difference between the post- and pre-survey percent correctly identified. Risk factors asked were: age > 40 years old, family members with glaucoma, Asian ethnicity, high eye pressure, previous eye injury, long-term use of steroids, diabetes, and hypertension.

Table 1. Pre- and post-survey risk factor identification and percent correct. Relative improvement was calculated from the difference between the post- and pre-survey percent correctly identified. Risk factors asked were: age > 40 years old, family members with glaucoma, Asian ethnicity, high eye pressure, previous eye injury, long-term use of steroids, diabetes, and hypertension.

 

Table 2. Pre- and post-survey questions and answers, with corresponding percent correct and relative improvement.

Table 2. Pre- and post-survey questions and answers, with corresponding percent correct and relative improvement.

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