Vision Screening Programmes: Collaborative work for developing evidence-based vision screening protocols.

Authors

  • Niall Strang Glasgow Caledonian University, UK
  • Brendan Barrett University of Bradford, UK
  • Rigmor C Baraas University of South-Eastern Norway, Norway https://orcid.org/0000-0003-3259-7617

DOI:

https://doi.org/10.5384/sjovs.v14i2.150

Keywords:

Vision screening

Abstract

This editorial highlights the scope of the topic that need to be examined further in the field of children’s vision screening. We hope that by making vision screening a special topic in SJOVS we can encourage collaboration between groups of researchers, clinicians and students and help in the development of evidence-based solutions to the current problems facing vision screening across the world. Of course, identifying eye and vision problems represents only the first stage in a screening process. It is important to mention that any screening programme requires several follow up steps to be successful. Good access to further examination for screening is required and affordable spectacles need to be provided. A mechanism of follow up is also important as, once dispensed, the spectacles need to be worn appropriately. Failure to address any of these issues will limit the benefits of a screening programme and innovative methods of addressing these issues are encouraged.

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References

Bosque, L. E., Yamarino, C. R., Salcedo, N., Schneier, A. J., Gold, R. S., Blumenfeld, L. C., & Hunter, D. G. (2021). Evaluation of the blinq vision scanner for detection of amblyopia and strabismus. Journal of AAPOS : the official publication of the American Association for Pediatric Ophthalmology and Strabismus, 25(4), 214.e1–214.e7. https://doi.org/10.1016/j.jaapos.2021.02.011

Varadarajan AV, Poplin R, Blumer K, et al. Deep learning for predicting refractive error from Varadarajan, A. V., Poplin, R., Blumer, K., Angermueller, C., Ledsam, J., Chopra, R., Keane, P. A., Corrado, G. S., Peng, L., & Webster, D. R. (2018). Deep Learning for Predicting Refractive Error From Retinal Fundus Images. Investigative ophthalmology & visual science, 59(7), 2861–2868. https://doi.org/10.1167/iovs.18-23887

Vision for Everyone: accelerating action to achieve the Sustainable Development Goals. (2021, July 26) UN Resolution A/RES/75/310 https://undocs.org/Home/Mobile?FinalSymbol=A%2FRES%2F75%2F310&Language=E&DeviceType=Desktop

World report on vision. (2019, October 8) Geneva: World Health Organization; 2019. https://www.who.int/publications/i/item/9789241516570

World Health Organization. Regional Office for Africa. (‎2018, June 29)‎. Primary eye care training manual: a course to strengthen the capacity of health personnel to manage eye patients at primary-level health facilities in the african region. World Health Organization. Regional Office for Africa. https://apps.who.int/iris/handle/10665/272970

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Published

2021-12-31

How to Cite

Strang, N., Barrett, B., & Baraas, R. C. (2021). Vision Screening Programmes: Collaborative work for developing evidence-based vision screening protocols . Scandinavian Journal of Optometry and Visual Science, 14(2), 1. https://doi.org/10.5384/sjovs.v14i2.150

Issue

Section

Editorial

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