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首页> 外文期刊>International Journal of Population Data Science >Public housing and healthcare use: Determining whether public housing functions as an intervention using linked population-based administrative data
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Public housing and healthcare use: Determining whether public housing functions as an intervention using linked population-based administrative data

机译：公共住房和医疗保健用途：使用基于人口的关联管理数据确定公共住房是否作为干预措施

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IntroductionPublic housing is a form of subsidized housing that is owned and/or managed by government. Previous research suggests that public housing has a positive impact on personal finances and education outcomes, but less is known about if/how it impacts health and healthcare use. Objectives and ApproachUsing linked administrative health and social data, we tested for changes in healthcare use among a cohort who moved into public housing in 2012 and 2013 in Manitoba, Canada, and compared utilization to a matched general population cohort who did not move into public housing. Generalized linear models with generalized estimating equations tested for differences in numbers of healthcare contacts in the years before and after the move-in date, adjusted for economic, residential mobility, and health characteristics. The data were modeled using a Poisson (rate ratio, RR), negative binomial (incident rate ratio, IRR), or a binomial (odds ratio, OR) distribution. ResultsThere were 2619 residents in the public housing cohort; 99.7% were matched to the general population. The cohort by time interaction was statistically significant for inpatient days (p Conclusion/ImplicationsPublic housing residents were more likely to use healthcare services than the matched population, but changes in use were similar in the two cohorts. There is little evidence that public housing impacts healthcare use, but it serves an important function of meeting basic needs for a vulnerable population group.
机译：简介公共住房是政府拥有和/或管理的补贴住房的一种形式。先前的研究表明，公共住房对个人财务和教育成果具有积极的影响，但对它是否/如何影响健康和医疗保健的了解较少。目标和方法我们使用链接的行政健康和社会数据，测试了2012年和2013年在加拿大马尼托巴省进入公共住房的队列中医疗保健使用的变化，并将利用率与未进入公共住房的匹配的普通人群进行了比较。带有广义估计方程的广义线性模型测试了入住日期前后各年中医疗保健联络人数量的差异，并针对经济，居住区流动性和健康特征进行了调整。使用泊松（比率，RR），负二项式（事件比率，IRR）或二项式（几率，OR）分布对数据进行建模。结果公共住房队列中有2619名居民; 99.7％与总人口相匹配。时间交互作用的队列在住院天数方面具有统计学意义（p结论/含义公共住房居民使用医疗服务的可能性高于匹配人群，但两个队列的使用变化相似。几乎没有证据表明公共住房影响医疗保健使用，但它具有满足弱势人群基本需求的重要功能。

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