Emergency department patients' preferences for technology-based behavioral interventions

Megan L. Ranney, Esther Choo, Yvonne Wang, Andrew Baum, Melissa A. Clark, Michael J. Mello

Research output: Contribution to journalArticle

46 Citations (Scopus)

Abstract

Study objective: To assess emergency department (ED) patients' preferences for technology-based behavioral interventions, and the demographic factors associated with these preferences. Methods: A cross-sectional survey of a random sample of urban ED patients (13 years) from a representative sample of shifts, with oversampling of adolescents/young adults (aged 13 to 24 years). Participants self-administered the survey about baseline technology use, concerns about technology-based interventions, and preferred intervention format for 7 behavioral health topics. We performed descriptive statistics and multivariate logistic regression (controlling for demographics and then additionally for baseline technology use) to identify factors differentially associated with technology preference for each behavioral topic. Results: Of patients presenting during research assistant shifts, 1,429 (≈59%) were screened and 664 (68.2% of eligible) consented to participate. Mean age was 31 years (SD 0.69); 54.5% were female, 64.1% were white, 23.2% were Hispanic, and 46.6% reported low income. Baseline use of computers (91.2%), Internet (70.7%), social networking (66.9%), mobile phones (95.0%), and text messaging (73.8%) was high. Participants reported interest in receiving interventions on each behavioral topic. Ninety percent preferred a technology-based intervention for at least 1 topic. Patients expressed greatest concerns about Internet (51.5%) and social networking (57.6%), particularly about confidentiality. Adjusting for sex, race, ethnicity, and income, younger age associated with preference for technology-based interventions for unintentional injuries (odds ratio 0.63 for technology preference if adult versus youth; 95% confidence interval 0.45 to 0.89) and peer violence (odds ratio 0.63 if adult; 95% confidence interval 0.43 to 0.92). Additionally adjusting for baseline technology usage, only baseline usage was associated with preference for technology-based interventions. Conclusion: ED patients reported high baseline technology use, high interest in behavioral health interventions, and varying preferences for technology-based interventions. Future studies should address actual feasibility and acceptability of technology-based interventions in a more generalized population and ways to alleviate concerns about these interventions.

Original languageEnglish (US)
JournalAnnals of Emergency Medicine
Volume60
Issue number2
DOIs
StatePublished - Aug 2012
Externally publishedYes

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Patient Preference
Hospital Emergency Service
Technology
Social Networking
Internet
Odds Ratio
Demography
Text Messaging
Confidence Intervals
Cell Phones
Confidentiality
Health
Hispanic Americans
Violence
Young Adult
Cross-Sectional Studies
Logistic Models

ASJC Scopus subject areas

  • Emergency Medicine

Cite this

Emergency department patients' preferences for technology-based behavioral interventions. / Ranney, Megan L.; Choo, Esther; Wang, Yvonne; Baum, Andrew; Clark, Melissa A.; Mello, Michael J.

In: Annals of Emergency Medicine, Vol. 60, No. 2, 08.2012.

Research output: Contribution to journalArticle

Ranney, Megan L. ; Choo, Esther ; Wang, Yvonne ; Baum, Andrew ; Clark, Melissa A. ; Mello, Michael J. / Emergency department patients' preferences for technology-based behavioral interventions. In: Annals of Emergency Medicine. 2012 ; Vol. 60, No. 2.
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abstract = "Study objective: To assess emergency department (ED) patients' preferences for technology-based behavioral interventions, and the demographic factors associated with these preferences. Methods: A cross-sectional survey of a random sample of urban ED patients (13 years) from a representative sample of shifts, with oversampling of adolescents/young adults (aged 13 to 24 years). Participants self-administered the survey about baseline technology use, concerns about technology-based interventions, and preferred intervention format for 7 behavioral health topics. We performed descriptive statistics and multivariate logistic regression (controlling for demographics and then additionally for baseline technology use) to identify factors differentially associated with technology preference for each behavioral topic. Results: Of patients presenting during research assistant shifts, 1,429 (≈59{\%}) were screened and 664 (68.2{\%} of eligible) consented to participate. Mean age was 31 years (SD 0.69); 54.5{\%} were female, 64.1{\%} were white, 23.2{\%} were Hispanic, and 46.6{\%} reported low income. Baseline use of computers (91.2{\%}), Internet (70.7{\%}), social networking (66.9{\%}), mobile phones (95.0{\%}), and text messaging (73.8{\%}) was high. Participants reported interest in receiving interventions on each behavioral topic. Ninety percent preferred a technology-based intervention for at least 1 topic. Patients expressed greatest concerns about Internet (51.5{\%}) and social networking (57.6{\%}), particularly about confidentiality. Adjusting for sex, race, ethnicity, and income, younger age associated with preference for technology-based interventions for unintentional injuries (odds ratio 0.63 for technology preference if adult versus youth; 95{\%} confidence interval 0.45 to 0.89) and peer violence (odds ratio 0.63 if adult; 95{\%} confidence interval 0.43 to 0.92). Additionally adjusting for baseline technology usage, only baseline usage was associated with preference for technology-based interventions. Conclusion: ED patients reported high baseline technology use, high interest in behavioral health interventions, and varying preferences for technology-based interventions. Future studies should address actual feasibility and acceptability of technology-based interventions in a more generalized population and ways to alleviate concerns about these interventions.",
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