眼科急诊科患者对网络资源的利用

Jodi C Hwang, Nicolas A Yannuzzi, Kara M Cavuoto, Zubair Ansari, Nimesh A Patel, Courtney F Goodman, Steven Lang, Jayanth Sridhar
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引用次数: 1

摘要

目的了解眼科急诊科(ED)就诊前在线资源的使用情况,评估在线资源对眼科诊断的准确性。方法:本研究是一项前瞻性调查,对出现眼科ED的患者进行眼部症状的初步评估。在评估之前,患者完成眼部症状、互联网使用和自我诊断的调查。确定了互联网使用的人口统计学和特征。比较了互联网使用者和非互联网使用者自我诊断的准确性。根据资深作者的一致意见,诊断分为高或低视力。结果144例患者完成问卷调查。平均(标准差)年龄为53.2岁(18.0岁)。三分之一的患者在就诊前使用互联网进行与健康相关的搜索。互联网用户比非互联网用户更年轻(48.2岁[16.5]比55.5岁[18.3],p = 0.02)。没有性别、民族或种族的差异。总体而言,正确预测诊断的患者比例有三倍的差异,互联网用户比非用户更经常正确预测诊断(41比13%,p = 0.03)和低(41比10%,p = 0.001)-视力诊断。准确性最高的是外眼睑情况,如眼睑下垂和裂口(100%[4/4]的互联网用户对40%(2/5)的非用户),结膜炎(43%[3/7]的互联网用户对25%[2/8]的非用户),视网膜牵引或脱离(57%[4/7]的互联网用户对0%[0/4]的非用户)。最常访问的网站是Google(82%)和WebMD(40%)。患者的准确率不随访问网站的数量而变化,但访问梅奥诊所网站的患者比访问其他网站的患者准确率更高(89比30%,p = 0.003)。结论在眼科急诊科就诊时,有眼部症状的患者在接受医师评估前可通过网络查询医疗信息,在线资源可提高患者自我诊断的准确性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

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Utilization of Online Resources by Patients in an Ophthalmic Emergency Department.

Objective  To describe the utilization of online resources by patients prior to presentation to an ophthalmic emergency department (ED) and to assess the accuracy of online resources for ophthalmic diagnoses. Methods  This is a prospective survey of patients presenting to an ophthalmic ED for initial evaluation of ocular symptoms. Prior to evaluation, patients completed surveys assessing ocular symptoms, Internet usage, and presumed self-diagnoses. Demographics and characteristics of Internet usage were determined. Accuracy of self-diagnoses was compared between Internet users and nonusers. Diagnoses were classified as high or low acuity based on agreement between senior authors. Results  A total of 144 patients completed surveys. Mean (standard deviation) age was 53.2 years (18.0). One-third of patients used the Internet for health-related searches prior to presentation. Internet users were younger compared with nonusers (48.2 years [16.5] vs. 55.5 years [18.3], p  = 0.02). There were no differences in sex, ethnicity, or race. Overall, there was a threefold difference in proportion of patients correctly predicting their diagnoses, with Internet users correctly predicting their diagnoses more often than nonusers (41 vs. 13%, p  < 0.001). When excluding cases of known trauma, the difference in proportion increased to fivefold (Internet users 40% vs. nonusers 8%, p  < 0.001). Upon classification by acuity level, Internet users demonstrated greater accuracy than nonusers for both high- (42 vs. 17%, p  = 0.03) and low (41 vs. 10%, p  = 0.001)-acuity diagnoses. Greatest accuracy was in cases of external lid conditions such as chalazia and hordeola (100% [4/4] of Internet users vs. 40% (2/5) of nonusers), conjunctivitis (43% [3/7] of Internet users vs. 25% [2/8] of nonusers), and retinal traction or detachments (57% [4/7] of Internet users vs. 0% [0/4] of nonusers). The most frequently visited Web sites were Google (82%) and WebMD (40%). Patient accuracy did not change according to the number of Web sites visited, but patients who visited the Mayo Clinic Web site had greater accuracy compared with those who visited other Web sites (89 vs. 30%, p  = 0.003). Conclusion  Patients with ocular symptoms may seek medical information on the Internet before evaluation by a physician in an ophthalmic ED. Online resources may improve the accuracy of patient self-diagnosis for low- and high-acuity diagnoses.

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