Improving Data-Driven Decision Making for Primary Prevention: Providing Data Interpretation Resources to Schools and Communities in Colorado

被引:1
|
作者
Wright-Kelly, Erin [1 ]
Macfarland, Andrew [1 ]
Fine, Emily [2 ]
Morgan, Marc [3 ]
Brooks-Russell, Ashley [1 ]
机构
[1] Univ Colorado, Injury & Violence Prevent Ctr, Colorado Sch Publ Hlth, Anschutz Med Campus, 13001 E 17th Pl,Mail Stop F803, Aurora, CO 80045 USA
[2] Colorado Dept Publ Hlth & Environm, Epidemiol & Program Evaluat Branch, Denver, CO USA
[3] Colorado Dept Publ Hlth & Environm, Violence & Injury Prevent Mental Hlth Promot Branc, Denver, CO USA
来源
JOURNAL OF PUBLIC HEALTH MANAGEMENT AND PRACTICE | 2024年 / 30卷 / 06期
关键词
adolescents; data interpretation; primary prevention; public health surveys; SOCIAL DETERMINANTS; HEALTH;
D O I
10.1097/PHH.0000000000001932
中图分类号
R1 [预防医学、卫生学];
学科分类号
1004 ; 120402 ;
摘要
Communities are increasingly interested in primary prevention efforts to reduce health inequities. However, few communities can access local data on social determinants of health and many do not have the skills or training to interpret data to inform decision making on appropriate strategies that impact social determinants of health. A population-based youth health survey administered to middle and high school students, such as exists in most states in the United States, can assess health behaviors and risk and protective factors. The schools and school districts that participate are provided with reports of results and data interpretation resources that support their understanding of risk and protective factors to inform local decision making and action. Other states can similarly provide local data and resources on risk and protective factors to help communities collaborate on primary prevention efforts that achieve health equity.
引用
收藏
页码:E353 / E357
页数:5
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