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Priorities in hospital care across varying socioeconomic demographics

机译:在不同的社会经济人口统计学中的医院护理的优先事项

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It is the intent of this study to aggregate subjective hospital performance measures and demographic metrics to identify trends in patient in-hospital experience ratings. Federal regulation requires hospitals to submit Hospital Consumer Assessments of Healthcare Providers and Systems (HCAHPS) results. The HCAHPS survey questionnaires are distributed to hospital patients between 48 hours and six weeks after their discharge with 27 questions regarding their experiences ranging from aspects of their visit such as nurse and doctor communication, care transition, and overall ratings of the hospital. Research in the field has demonstrated that demographic characteristics of the hospital district can affect an individual's perceived hospital experience. Factors such as education level and ethnicity have been shown to impact satisfaction ratings. How well a hospital performs on this survey can affect the level of federal funding and payer reimbursements a hospital receives. Therefore, for hospitals serving certain demographics, there is a potential to receive lower satisfaction results due to a bias given the patient population they largely serve. The goal of our work was to determine what components of care most affect patient satisfaction ratings, and whether these components vary across different demographics; this was done using random forest variable importance analysis. Our findings show that patient priorities, indeed differ across socioeconomic populations when determining the overall perceived value of care. Results of this analysis could allow hospitals to better cater to the priorities of their patients, thereby increasing their HCAHPS scores and resulting funding levels.
机译:这项研究的目的是聚合主观医院绩效措施和人口指标,以确定医院内科患者的趋势。联邦监管需要医院提交医院消费者对医疗保健提供者和系统(HCAHPS)结果的评估。 HCAHPS调查问卷分发给在其出院后48小时到六周的医院患者,其中有27个关于他们的访问的各个方面的经验,如护士和医生通信,护理过渡和医院的总体评级。该领域的研究表明,医院区的人口特征可以影响个人的感知医院经验。已显示教育水平和种族等因素影响满足评级。医院对本调查的表现如何会影响医院收到的联邦资助水平和付款人报销。因此,对于服务某些人口统计数据的医院,由于患有患者人口在很大程度上的患者人口偏差,有可能获得较低的满足结果。我们工作的目标是确定关心的组成部分大多数影响患者满意度评级,以及这些组件是否因不同人口统计而异;这是使用随机森林可变重要性分析完成的。我们的研究结果表明,在确定整体感知价值时,患者的优先事项,确实在社会经济群体中有所不同。该分析的结果可能允许医院更好地迎合患者的优先事项,从而提高他们的河科草评分并产生资金水平。

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