Tag: aging

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Vision Impairment and Eye Diseases among Nursing Home Residents Data Webinar

AVLNC Data and Research Committee logo

The Prevalence of Vision Impairment and Eye Diseases among Nursing Home Residents: The Delaware Study. 
This webinar, being held on Wednesday, June 16th from 4-5 pm EDT, will present the findings of comprehensive eye examinations of 2019 residents of nursing homes in the state of Delaware. The findings show an exceedingly high prevalence of eye diseases, and nearly 50% of the residents had vision impairment and 15% were blind.  This presentation will compare findings with other nursing home studies, and policy and practice implications of the findings will be discussed. Learn more and register for the data webinar.

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Q2 AVLNC Quarterly Coalition Meeting

quarterly meeting of the avlnc

The Aging and Vision Loss National Coalition (AVLNC) is gathering for the quarterly meeting in April to set goals for Q2. Join the AVLNC on April 7th at 4 pm ET to be part of the one-year plan and get involved with the aging and vision loss efforts. Register to attend the AVLNC Quarterly Meeting. 

Agenda

  • Brief overview of AVLNC: How new members can get additional info; AVLNC structure
  • Q1 Accomplishments
  • Q2 Objectives w/ discussion

To take a deeper dive into data-driven science, the latest updates, and the great need for data in our field, join the Data & Research committee one hour before the full coalition meeting for the first in a series on data.

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Data-Driven Science Webinar Series

Please join Dean VanNasdale, OD, PhD from Ohio State University for a webinar on data from the US Census, Behavioral Risk Factor Survey (BRFS), and the American Communities Survey on April 7th at 3 pm ET.  Analysis of this data allows us to obtain county-level prevalence data for vision loss, by age, ethnicity, and sex.  Understanding this data can assist with grant writing and creating a strong case for support when there are disparities in the need and the available vision rehabilitation services.  The presentation will last about 40 minutes, with an opportunity for questions and answers at the end. Register to attend the Data-driven Science webinar.

Dean VanNasdale headshot