An assisted living facility (ALF) is a place where someone can live, have access to social supports such as transportation, and receive assistance with the activities of daily living such as toileting and dressing. Despite the important role of ALFs, they are not required to be certified with Medicare and there is no public national database of these facilities. We present the first public dataset of ALFs in the United States, covering all 50 states and DC with 44,638 facilities and over 1.2 million beds. This dataset can help provide answers to existing public health questions as well as help those in need find a facility. The dataset was validated by replicating the results of a nationwide study of ALFs that uses closed data [4], where the prevalence of ALFs is assessed with respect to county-level socioeconomic variables related to health disparity such as race, disability, and income. To showcase the value of this dataset, we also propose a novel metric to assess access to community-based care. We calculate the average distance an individual in need must travel in order to reach an ALF. The dataset and all relevant code are available at github.com/antonstengel/assisted-living-data.
翻译:辅助生活设施(ALF)是人们可以生活、获得社会支助(如交通)和接受诸如厕所和衣着等日常生活活动援助的地方。尽管ALF的重要作用很大,但是他们不需要获得Medicare的认证,也没有关于这些设施的公共国家数据库。我们提供了美国ALF的第一个公共数据集,覆盖所有50个州和DC的44 638个设施和超过120万张床位。这个数据集可以帮助回答现有的公共健康问题,并帮助有需要的人找到一个设施。数据集通过复制使用封闭数据(4个)的ALF全国研究结果而得到验证。在这种研究中,对ALF的流行程度进行了与种族、残疾和收入等健康差距有关的县一级社会经济变量评估。为了展示这一数据集的价值,我们还提出了一个新的衡量标准,以评估获得社区护理的情况。我们计算需要帮助的个人必须旅行的平均距离,以便到达ALF。数据集和所有相关代码可在Guthhub.com/ANTERDAData/ANTER。