Impact of Gender on Patient Preferences for Technology-Based Behavioral Interventions

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 t...

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Main Authors: David J. Kim, Esther K. Choo, Megan L. Ranney
Format: Article
Language:English
Published: eScholarship Publishing, University of California 2014-08-01
Series:Western Journal of Emergency Medicine
Online Access:http://escholarship.org/uc/item/43z5n12b
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author David J. Kim
Esther K. Choo
Megan L. Ranney
author_facet David J. Kim
Esther K. Choo
Megan L. Ranney
author_sort David J. Kim
collection DOAJ
description 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%; p¼0.03), Internet (66.8% versus 59.0%; p¼0.03), and social networks (53.3% versus 42.6%; p¼0.01). 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.
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spelling doaj.art-358f6a8cd82b4ddda26c9412e59821562022-12-22T03:35:56ZengeScholarship Publishing, University of CaliforniaWestern Journal of Emergency Medicine1936-900X1936-900X2014-08-0115559359910.5811/westjem.2014.4.21448Impact of Gender on Patient Preferences for Technology-Based Behavioral InterventionsDavid J. Kim0Esther K. Choo1Megan L. Ranney2The Warren Alpert Medical School of Brown University, Department of Emergency Medicine, Providence, Rhode IslandThe Warren Alpert Medical School of Brown University, Department of Emergency Medicine, Providence, Rhode IslandThe Warren Alpert Medical School of Brown University, Department of Emergency Medicine, Providence, Rhode IslandIntroduction: 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%; p¼0.03), Internet (66.8% versus 59.0%; p¼0.03), and social networks (53.3% versus 42.6%; p¼0.01). 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.http://escholarship.org/uc/item/43z5n12b
spellingShingle David J. Kim
Esther K. Choo
Megan L. Ranney
Impact of Gender on Patient Preferences for Technology-Based Behavioral Interventions
Western Journal of Emergency Medicine
title Impact of Gender on Patient Preferences for Technology-Based Behavioral Interventions
title_full Impact of Gender on Patient Preferences for Technology-Based Behavioral Interventions
title_fullStr Impact of Gender on Patient Preferences for Technology-Based Behavioral Interventions
title_full_unstemmed Impact of Gender on Patient Preferences for Technology-Based Behavioral Interventions
title_short Impact of Gender on Patient Preferences for Technology-Based Behavioral Interventions
title_sort impact of gender on patient preferences for technology based behavioral interventions
url http://escholarship.org/uc/item/43z5n12b
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