Evidence map›Paper›PMID 31074815›Full record

Trial reportJAMA network open2019

Effect of Electronic Screening With Personalized Feedback on Adolescent Health Risk Behaviors in a Primary Care Setting: A Randomized Clinical Trial.

Laura P Richardson, Chuan Zhou, Elon Gersh, Heather Spielvogle, James A Taylor, Carolyn A McCarty

Registry-linked trialOpen access · goldAbstract readMulticenter StudyRandomized Controlled Trial
In one paragraph

Trial report in JAMA network open, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT02360410 (Promoting Adolescent Health Through Personalized Feedback), which is not on this map. Cited by 14 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed, 2 pooled it
6.9field-weighted citation impact, top 3% of its field
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.

NCT02360410 nacompletednot on this map

Promoting Adolescent Health Through Personalized Feedback

TypeinterventionalSponsorLaura RichardsonRan2015 to 2016Enrolled300ConditionsHealth Risk Behaviors, Health Care Services Quality of CareArmsCheck Yourself App with Feedback
3 · Its place in the literature

Who cites it

14 citing papers in PubMed, 2 syntheses or guidelines pooled it, 28 citations in OpenAlex.

  1. Sexual Health and Relationship Abuse Interventions in Pediatric Primary Care: A Systematic Review.The Journal of adolescent health : official publication of the Society for Adolescent Medicine · 2023
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  9. Provider Use of Time Alone With Adolescents: Differences by Health Concern.The Journal of adolescent health : official publication of the Society for Adolescent Medicine · 2022
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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

6 authors at 3 institutions in 2 countries.

Laura P RichardsonCenter for Child Health, Behavior, and Development, Seattle Children's Research Institute, Seattle, Washington.
Chuan ZhouCenter for Child Health, Behavior, and Development, Seattle Children's Research Institute, Seattle, Washington.
Elon GershDepartment of Research and Translation, Orygen, the National Centre of Excellence in Youth Mental Health, Melbourne, Australia.
Heather SpielvogleCenter for Child Health, Behavior, and Development, Seattle Children's Research Institute, Seattle, Washington.
James A TaylorDepartment of Pediatrics, University of Washington, Seattle.
Carolyn A McCartyCenter for Child Health, Behavior, and Development, Seattle Children's Research Institute, Seattle, Washington.
Seattle Children's Hospital · USUniversity of Melbourne · AUUniversity of Washington · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Importance: Health risk behaviors are a leading cause of morbidity during adolescence. Screening and counseling for health risk behaviors are recommended but infrequently performed. Objective: To test the effect of an electronic screening and feedback tool on clinician counseling and adolescent-reported health risk behaviors. Design, Setting, and Participants: A randomized clinical trial compared electronic screening and feedback on an intention-to-treat basis with usual care among 300 youths 13 to 18 years of age at 5 pediatric clinics in the Pacific Northwest. Outcomes were assessed via electronic survey at 1 day and 3 months after the initial visit. Study data collection occurred from March 13, 2015, to November 29, 2016, and statistical analysis was conducted between February 6, 2017, and June 20, 2018. Interventions: Youths in the intervention group (n = 147) received electronic screening and personalized feedback with clinician clinical decision support. Youths in the control group (n = 153) received standard screening and counseling as provided by their clinic. Main Outcomes and Measures: Youths' report of receipt of counseling during the visit and risk behaviors at 3 months. Results: In the final study sample of 300 youths (intervention group, 75 girls and 72 boys; mean [SD] age, 14.5 [1.4 years]; and control group, 80 girls and 73 boys; mean [SD] age, 14.5 [1.4] years), 234 (78.0%) were aged 13 to 15 years. After adjusting for age, sex, and random effect of clinic, youths in the intervention group were more likely to receive counseling for each of their reported risk behaviors than were youths in the control group (adjusted rate ratio, 1.32; 95% CI, 1.07-1.63). Youths in the intervention group had a significantly greater reduction (β = -0.48; 95% CI, -0.89 to -0.02; P = .02) in their risk behavior scores at 3 months when compared with youths in the control group. Conclusions and Relevance: Electronic screening of health risk behavior with clinical decision support and motivational feedback to teens can improve care delivery and outcomes. Trial Registration: ClinicalTrials.gov identifier: NCT02360410.

Indexed as

Formative FeedbackHealth Risk BehaviorsAdolescentAdolescent BehaviorCounselingDecision Support TechniquesFemaleHumansMaleMass ScreeningPrimary Health CareSelf ReportTreatment Outcome

Identifiers

PMID31074815
PMCPMC6512281
OpenAlexW2944434435

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

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.