Evidence map›Paper›PMID 27793728›Full record

ArticleThe Journal of adolescent health : official publication of the Society for Adolescent Medicine2017

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

Merrian J Brooks, Todd Bear, Karen Hacker, Edmund M Ricci, Abigail Foulds, Heather Anderson, Claire Raible, Elizabeth Miller

Abstract read
In one paragraph

Article in The Journal of adolescent health : official publication of the Society for Adolescent Medicine, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors.

Merrian J BrooksDepartment of Pediatrics, Division of Adolescent and Young Adult Medicine, Children's Hospital of Pittsburgh of UPMC, Pittsburgh, Pennsylvania. Electronic address: merrian.brooks2@chp.edu.
Todd BearInstitute for Evaluation Science in Community Health, University of Pittsburgh Graduate School of Public Health, Pittsburgh, Pennsylvania.
Karen HackerDepartment of Pediatrics, Division of Adolescent and Young Adult Medicine, Children's Hospital of Pittsburgh of UPMC, Pittsburgh, Pennsylvania; Allegheny County Department of Health, Pittsburgh, Pennsylvania; Department of Behavioral and Community Health Sciences, University of Pittsburgh Graduate School of Public Health, Pittsburgh, Pennsylvania.
Edmund M RicciInstitute for Evaluation Science in Community Health, University of Pittsburgh Graduate School of Public Health, Pittsburgh, Pennsylvania.
Abigail FouldsInstitute for Evaluation Science in Community Health, University of Pittsburgh Graduate School of Public Health, Pittsburgh, Pennsylvania.
Heather AndersonDepartment of Pediatrics, Division of Adolescent and Young Adult Medicine, Children's Hospital of Pittsburgh of UPMC, Pittsburgh, Pennsylvania.
Claire RaibleDepartment of Pediatrics, Division of Adolescent and Young Adult Medicine, Children's Hospital of Pittsburgh of UPMC, Pittsburgh, Pennsylvania.
Elizabeth MillerDepartment of Pediatrics, Division of Adolescent and Young Adult Medicine, Children's Hospital of Pittsburgh of UPMC, Pittsburgh, Pennsylvania; Department of Behavioral and Community Health Sciences, University of Pittsburgh Graduate School of Public Health, Pittsburgh, Pennsylvania.

Funding

Research Training Program for Pediatric Subspecialty FellowsT32HD071834 · NICHD · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI TERENCE S. DERMODY · 2013 to 2026
$4.7M
NICHD NIH HHS T32 HD071834
6 · The paper itself

Abstract

purposeWhen 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.

Indexed as

Adolescent BehaviorHealth BehaviorRisk-TakingAdolescentAdultFemaleHealth SurveysHumansMaleYoung AdultAdolescent healthBehavioral Risk Factor Surveillance SystemBehavioral surveillanceData collectionHealth policyHealth surveysPrimary preventionRisk assessment

Identifiers

PMID27793728
PMCPMC8006865

What OpenQuestion holds

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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.