利用谷歌趋势数据预测瘙痒病的门诊就诊

S. Muddasani, A. Fleischer
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引用次数: 0

摘要

这将有助于了解谷歌对“瘙痒”的查询是否与国家门诊医疗调查中常见瘙痒疾病的患者就诊概率有关。随着规范化搜索兴趣的增加,阴道炎、外阴炎和外阴阴道炎的就诊预测值为负[比值比0.983(95%可信区间0.977,0.989)]、牛皮癣[0.986(0.980,0.992)]和皮炎[0.983(0.979,0.986)]。荨麻疹[0.997 (0.986,1.01),P=0.5]和特应性皮炎[1.02 (0.994,1.01),P=0.9]的搜索兴趣与访问量无相关性。这表明,互联网搜索行为可以影响现实世界的患者就诊。
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Prediction of ambulatory visits for itching diseases using Google Trends data
It would provide insight to know if Google queries for “itch” relate to the probability of a patient visit for common itching diseases in the National Ambulatory Medical Care Survey. There was a negative predictive value of visits for vaginitis, vulvitis, and vulvovaginitis [odds ratio 0.983 (95% confidence interval 0.977, 0.989)], psoriasis [0.986 (0.980, 0.992)], and dermatitis [0.983 (0.979, 0.986)] with increased normalized search interest (P<0.0001). There was no relationship between search interest and visits for urticaria [0.997 (0.986, 1.01), P=0.5] or atopic dermatitis [1.02 (0.994, 1.01), P=0.9]. This demonstrates that internet search behavior can affect real world patient visits.
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