An Alternative Technique for Youth Risk Surveillance Outside of the School System

详细信息    查看全文

• 作者：Merrian J. Brooks ; D.O.^a ; ^{merrian.brooks2@chp.edu} ; Todd Bear ; Ph.D.^b ; Karen Hacker ; M.D. ; M.P.H.^a ; ^c ; ^d ; Edmund M. Ricci ; Ph.D. ; M.Litt.^b ; Abigail Foulds ; Ph.D.^b ; Heather Anderson^a ; Claire Raible^a ; Elizabeth Miller ; M.D. ; Ph.D.^a ; ^d
• 关键词：Adolescent health ; Health policy ; Data collection ; Risk assessment ; Primary prevention ; Health surveys ; Behavioral Risk Factor Surveillance System ; Behavioral surveillance
• 刊名：Journal of Adolescent Health
• 出版年：2017
• 出版时间：January 2017
• 年：2017
• 卷：60
• 期：1
• 页码：72-78
• 全文大小：321 K
• 卷排序：60

文摘

When school districts choose not to participate in adolescent health behavior surveys, tracking adolescent health indicators can be challenging. We conducted a countywide youth behavior survey outside of the school system. Our purpose is to describe alternative methods used for gathering these data reliably and ethically.MethodsWe implemented two parallel surveys with youth ages 14–19 residing in a mid-sized county with urban, suburban, and rural neighborhoods. An anonymous phone-based survey used computer-assisted telephone interviewing with a live interviewer in conjunction with an interactive voice response system to survey youth via random digit dialing of landlines and cell phones. A concurrent in-person anonymous survey was conducted with marginalized youth (from juvenile detention centers, shelters, and residential facilities), using audio computer-assisted self-interviewing technology. The survey measures included the Centers for Disease Control Youth Risk Behavior Surveillance System and additional questions about social supports, neighborhood, and adverse childhood experiences.ResultsData were collected between February and December 2014. The phone-based sample recruited 1813 participants; the marginalized sample included 262 youth. Several strategies ensured anonymity and reduced coercion. The final phone-based sample was similar to demographics of the county population. The marginalized youth sample captured out-of-home youth who may have been missed with phone-based sampling alone.ConclusionsWe review alternative strategies for obtaining population-based adolescent health data without the cooperation of schools. These techniques can provide a basis to collect data that may help direct resources and policies relevant to needs of local youth.