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IMPROVING DECISION-MAKING AND OUTCOMES IN TRANSITIONS TO POST-ACUTE CARE FACILITIES

机译:在过渡到急救后设施的过程中改善决策和成果

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摘要

The number of older adults discharged to post-acute care (PAC) facilities after hospitalization is increasing rapidly, but their clinical course is uncertain. We sought to identify prognostic factors linked to outcomes of older adults discharged to PAC using a retrospective analysis of the 2003–2009 Medicare Current Beneficiary Survey (MCBS), a nationally-representative survey of Medicare recipients matched with claims data. Community-dwelling adults age 65 and older who were hospitalized and discharged to a PAC facility were included. The primary outcome was a composite of events representing failure to return to the community, including death, readmission to the hospital, or remaining in a PAC facility 100 days post-hospital discharge. Of 1416 eligible patients, 510 (35.9%) did not return to the community. In multivariable analysis, the most important factors included the presence of dyspnea (OR 1.46; 95% CI 1.09–1.96), cognitive impairment (1.12; 1.02–1.24), use of antipsychotics (1.10; 1.04–1.17), number of physician visits in the PAC facility (1.09; 1.03–1.14), index hospital length of stay (1.02 per day; 1.01–1.03), PAC facility length of stay (0.99 per day; 0.98–0.99), and better functional status (0.80; 0.75–0.85). The c-statistic was 0.694. More than one-third of older adults discharged to PAC facilities are readmitted, die, or remain in the PAC facility 100 days post-discharge. Several factors that influence these outcomes may be modifiable. Their predictive value is similar to most readmission prediction models, which have been successfully used to target interventions to high-risk groups. These findings may serve as a starting point for better informing decision-making and improving outcomes.
机译:住院治疗后出院的老年人数量迅速增加,但其临床过程尚不确定。我们试图通过对2003-2009年医疗保险当前受益人调查(MCBS)进行的回顾性分析来确定与PAC出院的老年人结局相关的预后因素,该调查是全国代表的医疗保险接受者调查,并与索赔数据相匹配。包括住院并出院到PAC设施中的65岁及65岁以上的社区居民。主要结局是各种事件的综合表现,这些事件代表未能返回社区,包括死亡,再次住院或住院后100天仍留在PAC设施中。在1416名合格患者中,有510名(35.9%)没有返回社区。在多变量分析中,最重要的因素包括呼吸困难(OR 1.46; 95%CI 1.09–1.96),认知障碍(1.12; 1.02-1.24),使用抗精神病药(1.10; 1.04–1.17),就诊次数在PAC机构中(1.09; 1.03–1.14),索引医院住院时间(每天1.02; 1.01–1.03),PAC机构住院时间(每天0.99; 0.98–0.99),以及更好的功能状态(0.80; 0.75) –0.85)。 c统计值为0.694。出院后100天,有超过三分之一的老年人被送回PAC设施,死亡或留在PAC设施。影响这些结果的几个因素可能是可以修改的。它们的预测价值与大多数再入院预测模型相似,该模型已成功用于将干预措施针对高危人群。这些发现可以作为更好地指导决策和改善结果的起点。

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