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各州对当地人群健康数据的使用:比较行为风险因素监测系统和独立的州健康调查。

States' use of local population health data: comparing the Behavioral Risk Factor Surveillance System and independent state health surveys.

机构信息

UCLA Center for Health Policy Research, UCLA School of Public Health, University of California, Los Angeles, CA, USA.

出版信息

J Public Health Manag Pract. 2013 Sep-Oct;19(5):444-50. doi: 10.1097/PHH.0b013e3182751cfb.

Abstract

OBJECTIVES

To identify and compare key features of independent comprehensive state health surveys (SHS) with those of the Behavioral Risk Factor Surveillance System (BRFSS) for addressing the need for statewide and local population health data.

METHODS

We developed inclusion criteria, systematically collected information about federal and SHS that met these criteria, and obtained supplemental information from SHS leaders.

RESULTS

We identified comprehensive independent SHS in 11 states and BRFSS surveys in all 50 states. The independent SHS meet important statewide and local data needs, filling 3 key health data gaps in the BRFSS: lack of adequate data on special populations such as children, lack of data on specific localities, and limited depth and scope of health topics surveyed on key issues such as health insurance coverage. Unlike BRFSS, independent SHS have limited comparability with each other.

CONCLUSIONS

The BRFSS and independent SHS each meet some key state and local data needs but result in data gaps and inefficient use of resources. Surveys could more effectively and efficiently meet future needs for comparable data to monitor health care reform and address health disparities if they were coordinated across states and at the national, state, and local levels.

摘要

目的

确定并比较独立综合州卫生调查(SHS)与行为风险因素监测系统(BRFSS)的主要特征,以满足全州和当地人群健康数据的需求。

方法

我们制定了纳入标准,系统地收集了符合这些标准的联邦和 SHS 的信息,并从 SHS 负责人那里获取了补充信息。

结果

我们在 11 个州确定了独立的综合 SHS 和所有 50 个州的 BRFSS 调查。独立的 SHS 满足了全州和当地重要的数据需求,填补了 BRFSS 中的 3 个关键健康数据空白:缺乏对儿童等特殊人群的足够数据、缺乏特定地区的数据以及对健康保险覆盖等关键问题的调查深度和范围有限。与 BRFSS 不同,独立的 SHS 之间的可比性有限。

结论

BRFSS 和独立的 SHS 都满足了一些关键的州和地方数据需求,但导致了数据空白和资源利用效率低下。如果在州和国家层面进行协调,调查可以更有效地满足未来对可比数据的需求,以监测医疗改革和解决健康差异问题。

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