Defining and measuring chronic conditions: imperatives for research, policy, program, and practice.
Defining and measuring chronic conditions: imperatives for research, policy, program, and practice.
复制标题
DOI：
10.5888/pcd10.120239
复制
发表时间：
2013-04-25
影响因子：
5.5
通讯作者：
Koh HK
中科院分区：
文献类型：
--
作者：
Goodman RA;Posner SF;Huang ES;Parekh AK;Koh HK
美国人口增长、年龄分布和疾病动态的当前趋势预示着慢性病和其他慢性疾病的流行率将上升。这些趋势包括老年人人口的迅速增长，与公共卫生和临床医学的进步有关的预期寿命的延长，一些风险因素的持续高流行率，以及多种慢性疾病的高流行率。虽然预防和减轻慢性病的影响需要足够的测量能力，但由于定义和诊断分类方案缺乏一致性以及数据系统和数据收集方法的异质性，这种测量受到了限制。我们概述了一个概念模型，以提高对定义、识别和使用美国慢性病信息的理解和标准化方法。我们通过将慢性病的标准分类方案应用于5个国家级数据系统来说明该模型的操作。
Current trends in US population growth, age distribution, and disease dynamics foretell rises in the prevalence of chronic diseases and other chronic conditions. These trends include the rapidly growing population of older adults, the increasing life expectancy associated with advances in public health and clinical medicine, the persistently high prevalence of some risk factors, and the emerging high prevalence of multiple chronic conditions. Although preventing and mitigating the effect of chronic conditions requires sufficient measurement capacities, such measurement has been constrained by lack of consistency in definitions and diagnostic classification schemes and by heterogeneity in data systems and methods of data collection. We outline a conceptual model for improving understanding of and standardizing approaches to defining, identifying, and using information about chronic conditions in the United States. We illustrate this model’s operation by applying a standard classification scheme for chronic conditions to 5 national-level data systems.
影响因子：
3
作者：
Cohen, Joel W.;Cohen, Steven B.;Banthin, Jessica S.
通讯作者：
Banthin, Jessica S.
影响因子：
5.1
作者：
STEIN, REK;BAUMAN, LJ;IREYS, HT
通讯作者：
IREYS, HT
影响因子：
9.7
作者：
Hwang, W;Weller, W;Anderson, G
通讯作者：
Anderson, G