@Article{信息:doi 10.2196 / / jmir。7426，作者=“Bastl, Katharina and Berger, Uwe and Kmenta, Maximilian”，标题=“花粉应用预测评估:电子医疗服务质量控制的需求”，期刊=“J Med Internet Res”，年=“2017”，月=“5”，日=“08”，卷=“19”，数=“5”，页=“e152”，关键词=“花粉预测;花粉信息服务;手机应用程序;花粉预报质量;背景:花粉预测对花粉过敏原的预防和提高花粉过敏人群的生活质量具有重要的价值。他们被认为是对公众有价值的免费服务。迄今为止，还没有对花粉预测的准确性和可靠性进行仔细的科学评价。目的:本研究的目的是分析9个提供花粉信息和花粉预测的移动应用程序，重点分析它们对2016年草花粉季节花粉负荷预测的准确性，以评估它们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)3个应用程序，柏林(德国)4个应用程序，巴塞尔(瑞士)和伦敦(英国)各1个应用程序。 All mobile apps were freely available. Today's grass pollen forecast was compared throughout the defined grass pollen season at each respective location with measured grass pollen concentrations. Hit rates were calculated for the exact performance and for a tolerance in a range of {\textpm}2 and {\textpm}4 pollen per cubic meter. Results: In general, for most apps, hit rates score around 50{\%} (6 apps). 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. ", issn="1438-8871", doi="10.2196/jmir.7426", url="//www.mybigtv.com/2017/5/e152/", url="https://doi.org/10.2196/jmir.7426", url="http://www.ncbi.nlm.nih.gov/pubmed/28483740" }