@文章{信息:doi/10.2196/15830，作者=“Black, Joshua Curtis and Rockhill, Karilynn and Forber, Alyssa and Amioka, Elise and May, K Patrick and Haynes, Colleen M and Dasgupta, Nabarun and Dart, Richard C”，标题=“药物流行病学调查在线调查(处方药非医疗使用计划调查):验证研究”，期刊=“J Med Internet Res”，年=“2019”，月=“Oct”，日=“25”，卷=“21”，数=“10”，页=“e15830”，关键词=“非概率方法”;一般人口调查;药物滥用;背景:在诸如药物使用研究等快速变化的领域，对准确和及时的数据的需求对于正确地为政策和干预决策提供信息至关重要。药物使用的趋势每个月都会迅速变化，使用灵活模块的研究设计可能会带来优势。来自在线小组的及时数据可以为针对新趋势的主动干预提供信息，从而加快公众反应。然而，必须解决使用在线小组对有效性的威胁，以创建准确的估计。目的:本研究的目的是展示一种综合的方法方法，该方法优化了非概率的在线选择样本，以提供及时、准确的全国药物使用流行率估计。方法:来自研究滥用、转移和成瘾相关监测(雷达)系统的处方药非医疗使用调查项目是一项关于美国药物使用的在线横断面调查，并实施了一些最佳做法。为了优化最终估计，详细研究了两种最佳实践:排除显示粗心或不可能的响应模式的受访者和校准权重。 The approach in this work was to cumulatively implement each method, which improved key estimates during the third quarter 2018 survey launch. Cutoffs for five exclusion criteria were tested. Using a series of benchmarks, average relative bias and changes in bias were calculated for 33 different weighting variable combinations. Results: There were 148,274 invitations sent to panelists, with 40,021 who initiated the survey (26.99{\%}). After eligibility assessment, 20.23{\%} (29,998/148,274) of the completed questionnaires were available for analysis. A total of 0.52{\%} (157/29,998) of respondents were excluded based on careless or improbable responses; however, these exclusions had larger impacts on lower volume drugs. Number of exclusions applied were negatively correlated to total dispensing volume by drug (Spearman $\rho$=--.88, P<.001). A weighting scheme including three demographic and two health characteristics reduced average relative bias by 31.2{\%}. After weighting, estimates of drug use decreased, reflecting a weighted sample that had healthier benchmarks than the unweighted sample. Conclusions: Our study illustrates a new approach to using nonprobability online panels to achieve national prevalence estimates for drug abuse. We were able to overcome challenges with using nonprobability internet samples, including misclassification due to improbable responses. Final drug use and health estimates demonstrated concurrent validity to national probability-based drug use and health surveys. Inclusion of multiple best practices cumulatively improved the estimates generated. This method can bridge the information gap when there is a need for prompt, accurate national data. ", issn="1438-8871", doi="10.2196/15830", url="//www.mybigtv.com/2019/10/e15830/", url="https://doi.org/10.2196/15830", url="http://www.ncbi.nlm.nih.gov/pubmed/31654568" }