Newacheck Paul W, Kim Sue E, Blumberg Stephen J, Rising Joshua P
Institute for Health Policy Studies, University of California, San Francisco, 3333 California St, Suite 265, San Francisco, CA 94118, USA.
Pediatrics. 2008 Aug;122(2):347-59. doi: 10.1542/peds.2007-1406.
A conceptual model of risk factors for special health care needs in childhood was presented previously. This article uses that conceptual model to identify candidate variables for an exploratory empirical examination of the effects of factors that may increase or decrease the risk of developing a special health care need.
The National Survey of Children's Health was used for our analysis (N = 102 353). We used multilevel and multivariate analysis methods. We examined risk factors for special health care needs generally and for specific physical, developmental, behavioral, and emotional conditions cooccurring with special health care needs. Risk factors were grouped into 6 major domains, namely, predisposing characteristics, genetic endowment, physical environment, social environment, health-influencing behavior, and health care system characteristics. We examined preschool-aged and school-aged children separately.
Significant associations were found in 5 of 6 domains studied (no variables in the health care systems characteristics were significant). Individual variables found to decrease or to increase significantly the odds of experiencing special health care needs were expressed at the child level (eg, age and gender), family level (eg, family structure and family conflict), and neighborhood level (eg, perception of supportiveness of the neighborhood).
This analysis is the first to consider empirically a range of risk factors for special health care needs, using a population health model. Although provisional, the results of our analysis can help us to begin thinking about which characteristics of the child, family, and community are worthy of further exploration. Some of the variables we found to be significantly associated with special health care needs, such as age and ethnicity, are immutable. However, we found a number of significant correlates (ie, possible risk factors) that may be amenable to public health interventions, including breastfeeding practices, exposure to secondhand smoke, family closeness, and neighborhood cohesion.
先前已提出儿童特殊医疗保健需求风险因素的概念模型。本文运用该概念模型来确定候选变量,以便对可能增加或降低出现特殊医疗保健需求风险的因素的影响进行探索性实证研究。
我们的分析采用了全国儿童健康调查(N = 102353)。我们使用了多水平和多变量分析方法。我们考察了一般特殊医疗保健需求的风险因素,以及与特殊医疗保健需求同时出现的特定身体、发育、行为和情感状况的风险因素。风险因素被分为6个主要领域,即易患特征、遗传禀赋、物理环境、社会环境、影响健康的行为和医疗保健系统特征。我们分别考察了学龄前儿童和学龄儿童。
在所研究的6个领域中的5个领域发现了显著关联(医疗保健系统特征领域中无变量显著)。在儿童层面(如年龄和性别)、家庭层面(如家庭结构和家庭冲突)以及邻里层面(如对邻里支持性的感知)发现了个别变量显著降低或增加了出现特殊医疗保健需求的几率。
本分析首次运用人群健康模型对一系列特殊医疗保健需求的风险因素进行实证研究。尽管具有临时性,但我们的分析结果有助于我们开始思考儿童、家庭和社区的哪些特征值得进一步探索。我们发现一些与特殊医疗保健需求显著相关的变量,如年龄和种族,是不可改变的。然而,我们发现了一些可能适合公共卫生干预的显著相关因素(即可能的风险因素),包括母乳喂养习惯、接触二手烟、家庭亲密程度和邻里凝聚力。