How practitioners say they answer the questions of patients about ultraviolet protection

背景(考古学) 防晒 紫外线辐射 质量(理念) 医学 心理学 医学教育 家庭医学 验光服务 环境卫生 地理 哲学 化学 考古 认识论 放射化学
作者
Mohammad Alobaid,Mei Ying Boon,Stephen J. Dain
出处
期刊:Clinical and Experimental Optometry [Informa]
卷期号:105 (6): 642-648 被引量:1
标识
DOI:10.1080/08164622.2021.1959265
摘要

Patients should be able to rely on optometrists and optical dispensers to provide evidence-based answers to their questions on eye protection, including against ultraviolet radiation. Surveys indicate that there is public concern about the need for protection against ultraviolet radiation, particularly in sunlight. This investigation aimed to evaluate the quality of information provided by practitioners in response to typical questions to which they might reasonably be expected to have ready answers. A cross-sectional study was conducted of on-site responses from attendees of a 3 day optical fair, in Sydney, Australia, in 2017. Subjects were not forewarned about the study. The portion of the questionnaire reported here comprised open answers to four questions intended to represent typical enquiries of patients. The questions were about recommendations for ultraviolet protection in the context of 1) computer use, 2) outdoor use, 3) driving and 4) under office lighting. Eighty-three participants returned completed questionnaires out of 140 issued (61% response). The open-answer question responses were grouped into appropriate, borderline (mostly appropriate but mixed with non-UVR related recommendations) and others (mostly non-UVR related recommendations) and by job title. The proportion of appropriate answers to the four questions were 20%, 30%, 12% and 15%, respectively, which did not differ by job title. A significantly higher proportion of optical dispensers than optometrists selected 'Don't know/no answer' for all questions except office use. Eyecare professionals need to be educated on eye protection against UV radiation to improve the quality of information to be given to the public.

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
NIUBEN发布了新的文献求助10
刚刚
彭维楚发布了新的文献求助20
1秒前
1秒前
李健应助cy采纳,获得10
1秒前
guozizi应助LY采纳,获得30
1秒前
2秒前
4秒前
4秒前
科研通AI5应助拆东墙采纳,获得10
5秒前
科研通AI5应助自然卷采纳,获得10
5秒前
6秒前
zyy发布了新的文献求助10
6秒前
NexusExplorer应助哈哈哈采纳,获得30
6秒前
nbhvhb完成签到,获得积分20
6秒前
chen完成签到,获得积分10
7秒前
7秒前
kuku发布了新的文献求助10
7秒前
英姑应助笑颜采纳,获得10
7秒前
江畔何人初见月完成签到,获得积分10
7秒前
8秒前
pluto应助lucky采纳,获得10
8秒前
8秒前
冷静巧凡发布了新的文献求助10
9秒前
9秒前
艳子发布了新的文献求助10
10秒前
moon发布了新的文献求助10
10秒前
极巨化氢原子完成签到,获得积分10
10秒前
11秒前
ww发布了新的文献求助10
12秒前
12秒前
12秒前
科研通AI5应助huma采纳,获得10
13秒前
13秒前
13秒前
科研通AI5应助xxxxx采纳,获得10
13秒前
13秒前
范冰冰发布了新的文献求助10
13秒前
刚睡醒发布了新的文献求助30
14秒前
小二郎应助闪闪的飞鸟采纳,获得10
14秒前
科研通AI5应助zengqin采纳,获得30
15秒前
高分求助中
Continuum Thermodynamics and Material Modelling 3000
Production Logging: Theoretical and Interpretive Elements 2700
Mechanistic Modeling of Gas-Liquid Two-Phase Flow in Pipes 2500
Comprehensive Computational Chemistry 1000
Conference Record, IAS Annual Meeting 1977 610
Interest Rate Modeling. Volume 3: Products and Risk Management 600
Interest Rate Modeling. Volume 2: Term Structure Models 600
热门求助领域 (近24小时)
化学 材料科学 生物 医学 工程类 有机化学 生物化学 物理 纳米技术 计算机科学 内科学 化学工程 复合材料 基因 遗传学 物理化学 催化作用 量子力学 光电子学 冶金
热门帖子
关注 科研通微信公众号,转发送积分 3553880
求助须知:如何正确求助?哪些是违规求助? 3129652
关于积分的说明 9383794
捐赠科研通 2828818
什么是DOI,文献DOI怎么找? 1555222
邀请新用户注册赠送积分活动 725923
科研通“疑难数据库(出版商)”最低求助积分说明 715331