TY - JOUR AU - Bastl, Katharina AU - Berger, Uwe AU - Kmenta, Maximilian PY - 2017 DA - 2017/05/08 TI -花粉应用程序预测评估:在电子健康服务中质量控制的需要JO - J Med Internet Res SP - e152 VL - 19 IS - 5kw -花粉预测KW -花粉信息服务KW -移动应用程序KW -花粉预测质量KW -过敏原避免AB -背景:花粉预测对于避免过敏原，从而提高花粉过敏患者的生活质量非常有价值。它们被认为是对公众有价值的免费服务。到目前为止，还没有对花粉预测的准确性和可靠性进行仔细的科学评估。目的:通过分析9款花粉信息和花粉预测手机app，重点分析其对2016年草花粉季花粉负荷预测的准确性，评估其对花粉过敏患者的有用性。方法:对每个地点的应用程序数量进行评估:维也纳(奥地利)有3个应用程序，柏林(德国)有4个应用程序，巴塞尔(瑞士)和伦敦(英国)各有1个应用程序。所有移动应用程序都是免费提供的。今天的草花粉预测在每个特定的草花粉季节与测量到的草花粉浓度进行了比较。命中率的精确性能和公差范围为±2和±4花粉每立方米。结果:一般来说，大多数应用的点击率都在50%左右(6款应用)。 It was found that 1 app showed better results, whereas 3 apps performed less well. Hit rates increased when calculated with tolerances for most apps. In contrast, the forecast for the “readiness to flower” for grasses was performed at a sufficiently accurate level, although only two apps provided such a forecast. The last of those forecasts coincided with the first moderate grass pollen load on the predicted day or 3 days after and performed even from about a month before well within the range of 3 days. Advertisement was present in 3 of the 9 analyzed apps, whereas an imprint mentioning institutions with experience in pollen forecasting was present in only three other apps. Conclusions: The quality of pollen forecasts is in need of improvement, and quality control for pollen forecasts is recommended to avoid potential harm to pollen allergy sufferers due to inadequate forecasts. The inclusion of information on reliability of provided forecasts and a similar handling regarding probabilistic weather forecasts should be considered. SN - 1438-8871 UR - //www.mybigtv.com/2017/5/e152/ UR - https://doi.org/10.2196/jmir.7426 UR - http://www.ncbi.nlm.nih.gov/pubmed/28483740 DO - 10.2196/jmir.7426 ID - info:doi/10.2196/jmir.7426 ER -