Association of Early and Late Hospital Readmissions with a Novel Housing-Based Socioeconomic Measure.
Association of Early and Late Hospital Readmissions with a Novel Housing-Based Socioeconomic Measure.
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DOI：
10.1177/23333928221104644
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发表时间：
2022-01
影响因子：
1.6
通讯作者：
Garrison, Gregory M.
中科院分区：
文献类型：
--
作者：
Zurek, Kaitlyn, I;Boswell, Christopher L.;Miller, Nathanial E.;Pecina, Jennifer L.;Decker, Matthew D.;Wi, Chung, I;Garrison, Gregory M.
关键词：
虽然社会经济地位与几种情况下的再入院有关，但往往没有可靠的个人社会经济地位衡量标准。住房，一个新的衡量个人社会经济地位的客观公共数据的基础上，一个人的住房单位，是负相关的总住院率，但它没有被研究方面的再入院。确定HOUSES最低四分位数的患者是否更有可能在30天（短期）和180天（长期）内再次入院。采用广义线性混合效应模型对11993例患者（21633例住院患者）进行回顾性队列研究。 HOUSES四分位数与早期再入院无显著相关性。然而，与最低HOUSES四分位数相比，第二四分位数（OR = 0.90，95%CI 0.83-0.98）和第三四分位数（OR = 0.91，95%CI 0.83-0.99）与较低的晚期再入院几率相关，而最高四分位数（OR = 0.91，95%CI 0.82-1.01）无统计学差异。HOUSES与晚期再入院相关，但与早期再入院无关。这可能是因为早期再入院受医疗条件和医院护理的影响，而晚期再入院受门诊护理和家庭因素的影响。由于HOUSES依赖于公共县评估员的数据，因此通常可以获得，并可用于将干预措施集中在那些延迟再入院风险最高的人身上。
While socioeconomic status has been linked to hospital readmissions for several conditions, reliable measures of individual socioeconomic status are often not available. HOUSES, a new measure of individual socioeconomic status based upon objective public data about one's housing unit, is inversely associated with overall hospitalization rate but it has not been studied with respect to readmissions. To determine if patients in the lowest HOUSES quartile are more likely to be readmitted within 30 days (short-term) and 180 days (long-term). A retrospective cohort study of 11 993 patients having 21 633 admissions was conducted using generalized linear mixed-effects models. HOUSES quartile did not show any significant association with early readmission. However, when compared to the lowest HOUSES quartile, the second quartile (OR = 0.90, 95%CI 0.83-0.98) and the third quartile (OR = 0.91, 95%CI 0.83-0.99) were associated with lower odds of late readmission while the highest quartile (OR = 0.91, 95%CI 0.82-1.01) was not statistically different. HOUSES was associated with late readmission, but not early readmission. This may be because early readmissions are influenced by medical conditions and hospital care while late readmissions are influenced by ambulatory care and home-based factors. Since HOUSES relies on public county assessor data, it is generally available and may be used to focus interventions on those at highest risk for late readmission.
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影响因子：
2.9
作者：
Greenwood, Jason;Zurek, Kaitlyn, I;Garrison, Gregory M.
通讯作者：
Garrison, Gregory M.
影响因子：
7.2
作者：
Halfon, P;Eggli, Y;Burnand, B
通讯作者：
Burnand, B
DOI：
10.3122/jabfm.2017.01.160186
发表时间：
2017-01-01
影响因子：
2.9
作者：
Garrison, Gregory M.;Keuseman, Rachel;Pecina, Jennifer
通讯作者：
Pecina, Jennifer
影响因子：
3
作者：
Halfon, Patricia;Eggli, Yves;Burnand, Bernard
通讯作者：
Burnand, Bernard
影响因子：
5.7
作者：
Hasan, Omar;Meltzer, David O.;Shaykevich, Shimon A.;Bell, Chaim M.;Kaboli, Peter J.;Auerbach, Andrew D.;Wetterneck, Tosha B.;Arora, Vineet M.;Zhang, James;Schnipper, Jeffrey L.
通讯作者：
Schnipper, Jeffrey L.