测试智力和发育障碍者的健康指标测量。

Matthew Bogenschutz, Michael Broda, Sarah Lineberry, Parthenia Dinora, Seb Prohn
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引用次数: 0

摘要

背景和目的:智力和发育障碍(IDD)患者的健康和保健问题往往不如非残疾人。各国必须监测使用许多残疾服务的缺碘症患者的健康和保健情况。然而,很少有方法可以监测各州之间或不同时间点的健康状况。在这项研究中,我们分享了一个新的模型,各州可以用它来监测缺乏症患者的健康状况。方法:我们使用了一项名为国家核心指标(NCI)的调查数据来开发这个模型。首先,我们使用本州的数据开发模型。然后,在我们找到一个运行良好的模型后,我们使用来自整个美国的国家核心指标对该模型进行了测试。结果:我们的最终模型在我们的州NCI数据和国家NCI数据中都运行良好。这一点很重要,因为这两个级别的政策都会影响残疾人可以使用的服务。我们的模型有三个部分:心脏健康、心理健康和行为健康。这些在论文中有更多的描述。我们还使用统计数据来测试一些可能预测与心脏健康、心理健康和行为健康相关的结果的因素。年龄,性别,居住地,智力残疾程度都是我们研究的三种健康状况的良好预测指标。启示:我们开发的健康模式运行良好,但应该使用其他州的数据进行测试。现在了解健康和保健是非常重要的,因为在许多州,残疾人可以使用的服务正在发生变化。我们认为我们的模型可以帮助规划者和倡导者了解服务是如何影响健康的,这种方式很容易在不同的州和不同的时间点进行比较。
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Testing a Wellness Indicators Measure for People with Intellectual and Developmental Disabilitiesa.

Background and purpose: People with intellectual and developmental disabilities (IDD) often have health and wellness issues that are not as good as people without disabilities. States are required to monitor health and wellness for people with IDD who use many disability services. However, there are few ways to monitor wellness between states or at different points in time. In this study, we share a new model that states may use to monitor wellness of people with IDD.

Methods: We used data from a survey called the National Core Indicators (NCI) to develop this model. First, we developed the model using our state's data. Then, after we found a model that worked well, we tested that model using the National Core Indicators from the entire U.S.

Results: Our final model worked well in both our state NCI data and the national NCI data. This is important because policies at both levels can affect the services that people with disabilities can use. Our model had three parts: heart health, mental health, and behavioral wellness. These are described more in the paper. We also used statistics to test some factors that might predict outcomes related to heart health, mental health, and behavioral wellness. Age, sex, where someone lives, and level of intellectual disability were all good predictors of all three categories of wellness that we studied.

Implications: The model of wellness that we developed worked well but should be tested using data from other individual states. It is very important to know about health and wellness right now since the services people with disabilities can use are changing in many states. We think our model can help planners and advocates understand how services affect wellness in a way that is easy to compare from state to state and at different points in time.

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