Ferris Rosie E, Glicksman Allen, Kleban Morton H
NYU School of Medicine, NY, USA
Philadelphia Corporation for Aging, PA, USA.
J Appl Gerontol. 2016 Feb;35(2):179-208. doi: 10.1177/0733464814525504. Epub 2014 Apr 2.
Home- and community-based services (HCBS) for many older adults are an essential component of aging-in-place. Andersen developed the contemporary model used to predict service use. Researchers have modified the model to examine need. Studies that attempt to predict unmet needs have explained only 10% to 15% of the variance. This study is based on the supposition that lack of accounting for environmental factors has resulted in such small explanatory power. Through the use of 2008 Southeastern Pennsylvania Household Health Survey data, this exploratory study modeled predictors of unmet HCBS needs. Findings reveal that lack of access to healthy foods and poor housing quality have a significant relationship to unmet HCBS needs. This model predicted 54% of the variance. Results reveal environmental questions to ask, a way to identify older adults with unmet HCBS needs and environmental barriers that if addressed may reduce older adults' eventual need for health services and HCBS.
对许多老年人来说，居家和社区服务（HCBS）是就地养老的重要组成部分。安徒生开发了用于预测服务使用情况的当代模型。研究人员对该模型进行了修改以研究需求。试图预测未满足需求的研究仅解释了10%至15%的方差。本研究基于这样一种假设，即未考虑环境因素导致了解释力如此之小。通过使用2008年宾夕法尼亚州东南部家庭健康调查数据，这项探索性研究对未满足的居家和社区服务需求的预测因素进行了建模。研究结果表明，难以获得健康食品和住房质量差与未满足的居家和社区服务需求有显著关系。该模型预测了54%的方差。结果揭示了需要询问的环境问题、一种识别有未满足的居家和社区服务需求的老年人的方法以及一些环境障碍，如果这些障碍得到解决，可能会减少老年人最终对医疗服务和居家及社区服务的需求。
