University of Minnesota, Institute on Community Integration, Minneapolis, MN, 55455, United States.
University of Sydney, Centre for Disability Research and Policy, Sydney, Australia.
Res Dev Disabil. 2018 Dec;83:77-90. doi: 10.1016/j.ridd.2018.08.008. Epub 2018 Aug 23.
State-level factors have not been examined in research on choice, despite findings of between-state differences.
To examine both individual and state-level factors associated with choice.
We used multilevel modeling to explore two choice scales, support-related and everyday choice, based on the National Core Indicators (NCI) data from 2013-14.
At the individual level, milder ID, greater mobility, fewer problem behaviors, answering questions independently, communicating verbally, and living in a non-agency setting, particularly independent settings, were associated with more choice for both scales. State-level factors overall explained variance for both scales, but were more strongly associated with support-related choice. A higher proportion of people with IDD living independently within the state predicted more support-related choice. High cost of living within a state predicted less everyday choice. Higher proportion of people living with family and lower proportion being served within a state predicted more everyday choice.
These findings suggest further study of choice in relation to policies that: (1) increase independent living for individuals with IDD, and (2) assist individuals/families living in high cost states. State differences on important QOL outcomes are likely to be associated with economic and system-based factorsbeyond individual differences.
尽管已经发现各州之间存在差异,但在有关选择的研究中,州一级的因素尚未得到检验。
检验与选择相关的个体和州一级的因素。
我们使用多层次模型,根据 2013-14 年的国家核心指标(NCI)数据,探讨了与支持相关的和日常选择相关的两个选择量表。
在个体层面上,较轻的 ID、更高的流动性、较少的行为问题、独立回答问题、口头交流以及居住在非机构环境中,特别是独立环境中,与两个量表的更多选择有关。州一级的因素总体上解释了两个量表的差异,但与支持相关的选择的关联更强。州内独立生活的 IDD 人数比例较高,预测支持相关的选择更多。州内生活成本较高,预测日常选择较少。州内与家人一起生活的人数比例较高,而在州内接受服务的人数比例较低,预测日常选择更多。
这些发现表明,需要进一步研究与以下政策相关的选择:(1)增加 IDD 个体的独立生活,以及(2)帮助生活在高成本州的个人/家庭。重要的生活质量结果的州差异可能与个体差异之外的经济和基于系统的因素有关。