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Elder abuse and mistreatment: results from medicare claims data.
Journal of Elder Abuse & Neglect ( IF 2.000 ) Pub Date : 2019-10-20 , DOI: 10.1080/08946566.2019.1678544
Charles P Mouton 1 , Allen Haas 2 , Amol Karmarkar 3 , Yong-Fang Kuo 2 , Kenneth Ottenbacher 3
Affiliation  

Elder abuse and mistreatment (EM) continues to be a growing problem as the US population ages. Despite the growth, detection of EM continues to lag. However, Medicare claims data and the electronic health record might provide an opportunity to encourage better detection. We evaluated Medicare claims data from 2012-2014 for beneficiaries who had a diagnostic code for EM discharged from any types of facility. We extracted records for 10,181 individuals examining demographic characteristics, residential characteristics, residential location, type of facility providing care, disease co-morbidities, and disability-related conditions. Of our sample, most were female (65.1%), white (78.8%), over 75 years of age (52.6%), and from an urban setting (85.2%). While the greatest number were discharged from acute care settings, almost one-third were hospitalized in psychiatric hospitals (34.6%). Mood disorders (27.5%) and dementia (14.2%) were the most common primary diagnoses. Hypertension (67.7%), depression (44.6%), fluid and electrolyte disorder (43.6%), and cardiac arrhythmia (28.2%) were the most common co-morbidities. In Medicare claims data, we found unique features and co-morbidities associated with EM. These findings could be used to develop a clinical algorithm predictive of older adults requiring screening for EM.

中文翻译:

虐待和虐待老年人:医疗保险索赔数据的结果。

随着美国人口老龄化,虐待和虐待老年人(EM)仍然是一个日益严重的问题。尽管增长迅速,但对EM的检测仍然滞后。但是,Medicare索赔数据和电子健康记录可能为鼓励更好地进行检测提供了机会。我们评估了从2012-2014年的Medicare索赔数据,这些受益人的诊断代码为从任何类型的设施中排出的EM。我们提取了10,181个人的记录,这些个人检查了人口统计学特征,居住特征,居住地点,提供护理的设施类型,疾病合并症以及与残疾相关的状况。在我们的样本中,大多数是女性(65.1%),白人(78.8%),75岁以上的老年人(52.6%)和城市地区的女性(85.2%)。虽然数量最多的人是从急救机构中出院的,几乎三分之一的人在精神病院住院(34.6%)。情绪障碍(27.5%)和痴呆症(14.2%)是最常见的主要诊断。高血压(67.7%),抑郁(44.6%),体液和电解质紊乱(43.6%)和心律不齐(28.2%)是最常见的合并症。在Medicare索赔数据中,我们发现了与EM相关的独特特征和合并症。这些发现可用于开发可预测需要筛查EM的老年人的临床算法。我们发现了与EM相关的独特功能和合并症。这些发现可用于开发可预测需要筛查EM的老年人的临床算法。我们发现了与EM相关的独特功能和合并症。这些发现可用于开发可预测需要筛查EM的老年人的临床算法。
更新日期:2019-11-01
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