GBD AEMT USA 2019 DATASET

<br>The GBD 2019 AEMT USA dataset forms a crucial component of the Global Burden of Disease (GBD) study, specifically focusing on the adverse effects of medical treatments (AEMT) within the United States. This comprehensive dataset aggregates and analyzes data from a wide range of sources, including hospital records, insurance claims, and national health surveys, to assess the incidence, outcomes, and healthcare implications associated with AEMT. The dataset utilizes International Classification of Diseases (ICD) codes to meticulously categorize and track health outcomes resulting from medical interventions, enabling researchers to quantify and analyze the burden of AEMT in terms of Disability-Adjusted Life Years (DALYs) lost. This detailed evaluation helps in identifying trends, assessing risk factors, and ultimately guiding healthcare policies to mitigate the adverse effects associated with medical treatments across diverse populations and healthcare settings within the U.S.

2019年全球疾病负担（Global Burden of Disease, GBD）研究美国医疗治疗不良事件（Adverse Effects of Medical Treatments, AEMT）数据集，是该全球疾病负担研究的重要组成部分，专门聚焦美国境内的医疗治疗不良事件所带来的不良影响。该综合性数据集整合并分析了多源数据，涵盖医院病历、保险理赔记录以及全国健康调查等渠道，用于评估与医疗治疗不良事件相关的发生率、转归结局及医疗保健层面的影响。该数据集借助国际疾病分类（International Classification of Diseases, ICD）编码，对医疗干预手段引发的健康结局进行精细化分类与追踪，使研究人员能够以伤残调整寿命年（Disability-Adjusted Life Years, DALYs）损失为衡量指标，量化并分析医疗治疗不良事件所造成的疾病负担。这一详尽的评估工作有助于识别流行趋势、评估风险因素，并最终为制定医疗政策提供科学指导，以减轻美国境内不同人群与各类医疗场景中医疗治疗不良事件带来的负面影响。