CoChat
Sign Up
Cited by 47Mobile Health and mHealth ApplicationsDigital Mental Health InterventionsImpact of Technology on Adolescents

Adolescents’ Preference for Technology-Based Emergency Department Behavioral Interventions: Does It Depend on Risky Behaviors?

Ranney, Megan L., Choo, Esther K., Spirito, Anthony, Mello, Michael J.·2013·Pediatric Emergency Care
DOI 10.1097/pec.0b013e31828a322f
Open this paper in CoChat — free account

Abstract

OBJECTIVES: This study aimed to (1) determine the prevalence of technology use and interest in technology-based interventions among adolescent emergency department patients and (2) examine the association between interest in an intervention and self-reported risky behaviors. METHODS: Adolescents (age, 13-17 years) presenting to an urban pediatric emergency department completed a survey regarding baseline technology use, risky behaviors, and interest in and preferred format for behavioral health interventions. Questions were drawn from validated measures when possible. Descriptive statistics and χ2 tests were calculated to identify whether self-reported risky behaviors were differentially associated with intervention preference. RESULTS: Two hundred thirty-four patients (81.8% of eligible) consented to participate. Almost all used technology, including computers (98.7%), social networking (84.9%), and text messaging (95.1%). Adolescents reported high prevalence of risky behaviors as follows: unintentional injury (93.2%), peer violence exposure (29.3%), dating violence victimization (23.0%), depression or anxiety (30.0%), alcohol use (22.8%), drug use (36.1%), cigarette use (16.4%), and risky sexual behaviors (15.1%). Most were interested in receiving behavioral interventions (ranging from 93.6% interest in unintentional injury prevention, to 73.1% in smoking cessation); 45% to 93% preferred technology-based (vs in person, telephone call, or paper) interventions for each topic. Proportion interested in a specific topic and proportion preferring a technology-based intervention did not significantly differ by self-reported risky behaviors. CONCLUSIONS: Among this sample of adolescent emergency department patients, high rates of multiple risky behaviors are reported. Patients endorsed interest in receiving interventions for these behaviors, regardless of whether they reported the behavior. Most used multiple forms of technology, and approximately 50% preferred a technology-based intervention format.

Integrity signals

Registry

Crossref · 10.1097/pec.0b013e31828a322f

Cites

35 of 35 references verified0 citation errors · 0 not checkable

Statistics

Recomputing p-values needs the paper’s full text.

Claims the paper makes

This paper’s full text isn’t openly available, so its claims and self-check weren’t run. The registry and citation checks still apply.

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

Cites

Flagged first, then by citations

Cited by

Sorted by citations

Related

Authors
Ranney, M. L., Choo, E. K., Spirito, A., & Mello, M. J.
Affiliations
Brown University (US)
Corresponding author
  • Ranney, Megan L.
  • Choo, Esther K.
  • Mello, Michael J.
ORCID
Venue
Pediatric Emergency Care
Publisher
Ovid Technologies (Wolters Kluwer Health)
Published
2013-04
Volume
29
Issue
4
Pages
475-481
ISSN
0749-5161 (ISSN-L)
DOI
10.1097/pec.0b013e31828a322f
OpenAlex
W2059371724
Cited by
47
References
35
Citations by year
2024: 4 · 2023: 2 · 2022: 4 · 2021: 10 · 2020: 3 · 2019: 6 · 2018: 5 · 2017: 3 · 2016: 3 · 2015: 4 · 2014: 3
FWCI
6.03
Type
journal article
Language
en
Open access
closed
Locations
  • Pediatric Emergency Care (publishedVersion)
  • PubMed (publishedVersion)
Topics
  • Health Sciences › Health Professions › General Health Professions › Mobile Health and mHealth Applications
  • Social Sciences › Psychology › Applied Psychology › Digital Mental Health Interventions
  • Social Sciences › Sociology and Political Science › Impact of Technology on Adolescents
Keywords
adolescents, emergency department patients, technology-based interventions, behavioral health interventions, intervention preferences, risk-taking, technology use, social networking, text messaging, unintentional injury prevention, dating violence, substance use, smoking cessation, anxiety and depression
MeSH terms
Adolescent, Adolescent Behavior, Behavior Therapy, Cross-Sectional Studies, Emergency Service, Hospital, Female, Humans, Male, Surveys and Questionnaires, Risk-Taking, Prevalence, Biomedical Technology, Patient Preference

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review