Literature DB >> 30957274

Insights into Australian optometrists' knowledge and attitude towards prescribing blue light-blocking ophthalmic devices.

Sumeer Singh1, Andrew J Anderson1, Laura E Downie1.   

Abstract

PURPOSE: The aim of this cross-sectional study was to survey Australian optometrists regarding their attitudes towards, and knowledge of, blue light-blocking lenses designed to attenuate blue light transmission to the eye.
METHODS: A 29-item survey was distributed at a major national optometry education conference and through professional networks. Respondents provided information regarding their demographics and practice modalities, knowledge about the potential effects of blue light, and attitudes towards prescribing blue light-blocking ophthalmic devices. Ordinal logistic regression analysis was performed to assess the factors that predicted optometrists' prescribing of blue light-blocking lenses.
RESULTS: Of 372 respondents, 75.3% indicated prescribing blue light-blocking spectacle lenses in their clinical practice. Forty-four per cent of optometrists considered daily environmental exposure to blue light as a potential cause of retinal damage, and approximately half of respondents thought blue light emitted from computer screens was an important factor in causing computer vision syndrome. About half of optometrists considered placebo effects to potentially play a role, at least sometimes, in patients' experiences with blue light-blocking lenses. Most optometrists estimated that they first prescribed a blue light-blocking lens in 2016. The most common reason optometrists prescribed these devices was for patients who were computer or electronic device users (87.9%). The two main sources of information used to guide practitioners' management approaches were conference presentations and manufacturer product information. Practitioners were significantly more likely to prescribe blue light-blocking lenses if they considered blue light to cause either retinal damage (odds ratio, OR 2.28, 95%CI 1.34-3.88, p = 0.002) or computer vision syndrome (OR 2.52, 95%CI 1.41-4.50, p = 0.002) compared with practitioners who did not consider such factors to be relevant.
CONCLUSION: Prescribing trends by Australian optometrists in relation to blue light-blocking lenses reflect the inconclusive nature of several aspects of the evidence in this field. Blue light-blocking lens prescribing has increased since 2010, despite practitioners acknowledging the lack of high-quality evidence to support their use and also commonly believing that placebo effects may have a role in patient responses to these lenses. Information from this study will help inform the development of resources to guide evidence-based prescribing of blue light-blocking lens products.
© 2019 The Authors Ophthalmic & Physiological Optics © 2019 The College of Optometrists.

Entities:  

Keywords:  zzm321990CVSzzm321990; blue light; blue-blocking; computer vision syndrome; optometry; retina; spectacles; survey

Year:  2019        PMID: 30957274     DOI: 10.1111/opo.12615

Source DB:  PubMed          Journal:  Ophthalmic Physiol Opt        ISSN: 0275-5408            Impact factor:   3.117


  4 in total

1.  Association between conventional or blue-light-filtering intraocular lenses and survival in bilateral cataract surgery patients.

Authors:  John E Griepentrog; Xianghong Zhang; Oscar C Marroquin; Michael B Garver; AnnaElaine L Rosengart; Joyce Chung-Chou Chang; Hamed Esfandiari; Nils A Loewen; Matthew R Rosengart
Journal:  iScience       Date:  2020-12-29

2.  Attitudes of optometrists in the UK and Ireland to Digital Eye Strain and approaches to assessment and management.

Authors:  Patrick A Moore; James S Wolffsohn; Amy L Sheppard
Journal:  Ophthalmic Physiol Opt       Date:  2021-09-21       Impact factor: 3.992

3.  Challenges and impact of COVID-19 lockdown on Indian optometry practice: A survey-based study.

Authors:  Siddharth K Karthikeyan; Pooja Nandagopal; Vivek Suganthan R; Anush Nayak
Journal:  J Optom       Date:  2020-12-26

4.  The effect of blue light filtering lenses on speed perception.

Authors:  Adiba Ali; Maitreyee Roy; Hind Saeed Alzahrani; Sieu K Khuu
Journal:  Sci Rep       Date:  2021-09-02       Impact factor: 4.379

  4 in total

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