Abstract

Introduction:Technology-based interventions offer an opportunity to address high-risk behaviors in the emergency department (ED). Prior studies suggest behavioral health strategies are more effective when gender differences are considered. However, the role of gender in ED patient preferences for technology-based interventions has not been examined. The objective was to assess whether patient preferences for technology-based interventions varies by gender.Methods:This was a secondary analysis of data from a systematic survey of adult (≥18 years of age), English-speaking patients in a large urban academic ED. Subjects were randomly selected during a purposive sample of shifts. The iPad survey included questions on access to technology, preferences for receiving health information, and demographics. We defined “technology-based” as web, text message, e-mail, social networking, or DVD; “non-technology-based” was defined as in-person, written materials, or landline. We calculated descriptive statistics and used univariate tests to compare men and women. Gender-stratified multivariable logistic regression models were used to examine associations between other demographic factors (age, race, ethnicity, income) and technology-based preferences for information on specific risky behaviors.Results:Of 417 participants, 45.1% were male. There were no significant demographic differences between men and women. Women were more likely to use computers (90.8% versus 81.9%; p=0.03), Internet (66.8% versus 59.0%; p=0.03), and social networks (53.3% versus 42.6%; p=0.01). 89% of men and 90% of women preferred technology-based formats for at least type of health information; interest in technology-based for individual health topics did not vary by gender. Concern about confidentiality was the most common barrier to technology-based use for both genders. Multivariate analysis showed that for smoking, depression, drug/alcohol use, and injury prevention, gender modified the relationship between other demographic factors and preference for technology-based health information; e.g., older age decreases interest in technology-based information for smoking cessation in women but not in men (aOR 0.96, 95% CI 0.93-0.99 versus aOR 1.00, 95% CI 0.97-1.03).Conclusion:Our findings suggest ED patients' gender may affect technology preferences. Receptivity to technology-based interventions may be a complex interaction between gender and other demographic factors. Considering gender may help target ED patient populations most likely to be receptive to technology-based interventions.

Highlights

  • IntroductionThe utility of preventative care in reducing healthcare utilization and promoting healthy behaviors has been well established.[1,2,3,4] Research has repeatedly demonstrated that even a brief intervention by a healthcare provider can result in behavior change or serve as a bridge to further intervention, presenting a unique opportunity for emergency providers.[1,2,5,6,7] Emergency departments (ED) routinely encounter a wide range of high risk, potentially preventable behaviors, including substance abuse, violence, high-risk sexual practices, and untreated mental health conditions, often from patients who use the emergency department (ED) as their only connection to healthcare.[3] Time constraints, cost, and competing clinical priorities have historically deterred many providers from offering these needed services in the ED setting, increasing morbidity for patients and the cost to the health system as a whole.[3,8] The potential for technology-based interventions has piqued the interest of many ED physicians as a feasible, efficient, cost-effective solution to provide these needed services out of the ED.[6,9,10]

  • Technology-based interventions offer an opportunity to address high-risk behaviors in the emergency department (ED)

  • Multivariate analysis showed that for smoking, depression, drug/alcohol use, and injury prevention, gender modified the relationship between other demographic factors and preference for technology-based health information; e.g., older age decreases interest in technology-based information for smoking cessation in women but not in men

Read more

Summary

Introduction

The utility of preventative care in reducing healthcare utilization and promoting healthy behaviors has been well established.[1,2,3,4] Research has repeatedly demonstrated that even a brief intervention by a healthcare provider can result in behavior change or serve as a bridge to further intervention, presenting a unique opportunity for emergency providers.[1,2,5,6,7] Emergency departments (ED) routinely encounter a wide range of high risk, potentially preventable behaviors, including substance abuse, violence, high-risk sexual practices, and untreated mental health conditions, often from patients who use the ED as their only connection to healthcare.[3] Time constraints, cost, and competing clinical priorities have historically deterred many providers from offering these needed services in the ED setting, increasing morbidity for patients and the cost to the health system as a whole.[3,8] The potential for technology-based interventions has piqued the interest of many ED physicians as a feasible, efficient, cost-effective solution to provide these needed services out of the ED.[6,9,10]. Gender has been shown to play a significant role in both the likelihood of high-risk behaviors and in responsiveness to interventions for these high-risk behaviors.[11,12,13,14,15] Multiple studies have suggested that multidimensional targeting to specific subpopulations, taking gender into consideration, increases responsiveness, prevents miscommunication, and enhances the likelihood of resulting in behavioral change.[16,17,18,19,20,21] Gender seems to play a significant role in attitudes towards technology-based health information.[22,23,24,25] For example, men are more likely than women to be overall users of the Internet, but use online content more for leisure, including gaming, or for commercial or financial transactions; women have been shown to be more purpose-driven and more engaged with online health information.[22,26]

Methods
Results
Discussion
Conclusion
Full Text
Published version (Free)

Talk to us

Join us for a 30 min session where you can share your feedback and ask us any queries you have

Schedule a call