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安全网环境下与高利用率相关的因素。

Factors associated with high-utilization in a safety net setting.

作者信息

Bell Julia, Turbow Sara, George Maura, Ali Mohammed K

机构信息

Hubert Department of Global Health, Emory University Rollins School of Public Health, 1518 Clifton Road NE, Atlanta, GA, 30322, USA.

Division of General Medicine and Geriatrics, Department of Medicine, Emory University School of Medicine, 49 Jesse Hill Jr Drive SE, Atlanta, GA, 30303, USA.

出版信息

BMC Health Serv Res. 2017 Apr 14;17(1):273. doi: 10.1186/s12913-017-2209-0.

Abstract

BACKGROUND

Patients with frequent hospital readmissions, or high-utilizer patients (HUPs), are a major driver of rising healthcare costs in the United States. This group has a significant burden of medical illness, but less is known about whether or how social determinants of health may drive their increased healthcare use and poor health outcomes. Our study aimed to define the population of HUPs at a large, safety-net hospital system, to understand how these patients differ from patients who are not HUPs, and to analyze how their demographic, medical, and social factors contribute to their healthcare use and mortality rates.

METHODS

For this case-control study, data were collected via retrospective chart review. We included 247 patients admitted three or more times in a single calendar year between 2011 and 2013 and 247 controls with one or two admissions in a single calendar year matched for age, sex, and year of high-utilization. We used multivariable logistic regression models to understand which demographic, clinical, and social factors were associated with HUP status, and if HUP status was independently associated with mortality.

RESULTS

The factors that contributed significant odds of being a HUP included having Medicaid (OR 3.34, 95% CI 1.50, 7.44) or Medicare (OR 3.39, 95% CI 1.50, 7.67), having a history of recreational drug use (OR 2.44, 95% 1.36, 4.38), and being homeless (OR 3.73, 95% CI 1.69, 8.23) The mortality rate among HUPs was 22.6% compared to 8.9% among controls (p < 0.0001).

CONCLUSIONS

These data show that social factors are related to high-utilization in this population. Future efforts to understand and improve the health of this population need to incorporate non-clinical patient factors.

摘要

背景

频繁住院的患者,即高医疗资源利用者(HUPs),是美国医疗保健成本上升的主要推动因素。这一群体有严重的疾病负担,但对于健康的社会决定因素是否以及如何导致他们医疗保健使用增加和健康状况不佳,人们了解较少。我们的研究旨在确定一家大型安全网医院系统中的高医疗资源利用者群体,了解这些患者与非高医疗资源利用者患者有何不同,并分析他们的人口统计学、医学和社会因素如何影响其医疗保健使用和死亡率。

方法

在这项病例对照研究中,通过回顾性病历审查收集数据。我们纳入了2011年至2013年期间在单一日历年内住院三次或以上的247例患者,以及在单一日历年内住院一至两次、年龄、性别和高医疗资源利用年份相匹配的247例对照。我们使用多变量逻辑回归模型来了解哪些人口统计学、临床和社会因素与高医疗资源利用者状态相关,以及高医疗资源利用者状态是否与死亡率独立相关。

结果

成为高医疗资源利用者的显著因素包括拥有医疗补助(比值比[OR]3.34,95%置信区间[CI]1.50,7.44)或医疗保险(OR 3.39,95%CI 1.50,7.67)、有使用消遣性药物的历史(OR 2.44,95% 1.36,4.38)以及无家可归(OR 3.73,95%CI 1.69,8.23)。高医疗资源利用者的死亡率为22.6%,而对照组为8.9%(p<0.0001)。

结论

这些数据表明社会因素与该人群的高医疗资源利用有关。未来为了解和改善该人群健康所做的努力需要纳入非临床患者因素。

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