Slabaugh S Lane, Shah Mona, Zack Matthew, Happe Laura, Cordier Tristan, Havens Eric, Davidson Evan, Miao Michael, Prewitt Todd, Jia Haomiao
1 Humana Inc. , Louisville, Kentucky.
2 Robert Wood Johnson Foundation , Princeton, New Jersey.
Popul Health Manag. 2017 Feb;20(1):13-22. doi: 10.1089/pop.2015.0162. Epub 2016 Mar 31.
Measuring population health with morbidity and mortality data, often collected at the site of care, fails to capture the individual's perspective on health and well-being. Because health happens outside the walls of medical facilities, a holistic and singular measure of health that can easily be captured for an entire population could aid in understanding the well-being of communities. This paper postulates that Healthy Days, a health-related quality of life measure developed and validated by the Centers for Disease Control and Prevention, is an ideal survey instrument to advance population health. A systematic literature review was conducted and revealed a strong evidence base using Healthy Days with significant correlations to chronic disease conditions. Building on the literature base and experience, methods for analyzing Healthy Days data are discussed, including stratified sampling techniques, statistical measures to account for variance, and modeling techniques for skewed distributions. Using such analytic techniques, Healthy Days has been used extensively in national health surveillance. As the health care system faces increasing costs and constrained resources, the Healthy Days survey instrument can be used to inform public policies and allocate health service resources. Because Healthy Days captures broad dimensions of health from the individual's perspective, it is a simple way to holistically measure the health and well-being of a population and its trend over time. Expanded use of Healthy Days can aid population health managers and contribute to the understanding of the broader determinants of the nation's and individual community's health and aid in evaluating progress toward health goals.
利用通常在医疗机构收集的发病率和死亡率数据来衡量人群健康状况,无法体现个人对健康和幸福的看法。由于健康状况出现在医疗设施之外,一种能够轻松为整个人口获取的全面且单一的健康衡量标准,有助于了解社区的健康状况。本文假定,由疾病控制与预防中心开发并验证的与健康相关的生活质量衡量标准“健康日”,是推进人群健康的理想调查工具。进行了一项系统的文献综述,结果显示有强有力的证据支持使用“健康日”,且它与慢性病状况存在显著相关性。基于文献基础和经验,讨论了分析“健康日”数据的方法,包括分层抽样技术、考虑方差的统计措施以及针对偏态分布的建模技术。运用这些分析技术,“健康日”已在国家健康监测中得到广泛应用。随着医疗保健系统面临成本不断增加和资源受限的情况,“健康日”调查工具可用于为公共政策提供信息并分配卫生服务资源。由于“健康日”从个人角度捕捉了广泛的健康维度,它是一种全面衡量人群健康及其随时间变化趋势的简单方法。扩大“健康日”的使用有助于人群健康管理者,促进对国家和各个社区健康的更广泛决定因素的理解,并有助于评估在实现健康目标方面取得的进展。