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Assessing Predictive Factors of Attitudes Toward Peer-Supported Mental Health Interventions in the Metaverse: Mixed Methods Study
16 references·1 citing·54 second hop
Assessing Predictive Factors of Attitudes Toward Peer-Supported Mental Health Interventions in the Metaverse: Mixed Methods Study (2024)Assessing Predictive Factors of Attitudes…Eight ways to get a grip on intercoder reliability using qualitative-based measures (2022)Eight ways to get a grip on i…Digital Health Interventions for Delivery of Mental Health Care: Systematic and Comprehensive Meta-Review (2022)Digital Health Interventions …Das Metaverse (2022)Das MetaverseInternet-Based Cognitive Behavioral Therapy for Depression (2021)Internet-Based Cognitive Beha…Barriers to and Facilitators of User Engagement With Digital Mental Health Interventions: Systematic Review (2021)Barriers to and Facilitators …Mental Help Seeking Attitudes Scale (MHSAS): Development, reliability, validity, and comparison with the ATSPPH-SF and IASMHS-PO. (2018)Mental Help Seeking Attitudes…Attitudes Toward e-Mental Health Services in a Community Sample of Adults: Online Survey (2018)Attitudes Toward e-Mental Hea…Preferences for Internet-Based Mental Health Interventions in an Adult Online Sample: Findings From an Online Community Survey (2017)Preferences for Internet-Base…Older Adults Perceptions of Technology and Barriers to Interacting with Tablet Computers: A Focus Group Study (2017)Older Adults Perceptions of T…Trends in Racial-Ethnic Disparities in Access to Mental Health Care, 2004–2012 (2016)Trends in Racial-Ethnic Dispa…Predictors of treatment dropout in self-guided web-based interventions for depression: an ‘individual patient data’ meta-analysis (2015)Predictors of treatment dropo…Advantages and limitations of Internet-based interventions for common mental disorders (2014)Advantages and limitations of…The PHQ-8 as a measure of current depression in the general population (2008)The PHQ-8 as a measure of cur…Racial discrimination and psychological distress: The impact of ethnic identity and age among immigrant and United States-born Asian adults. 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References

  • 2004Improving the Quality of Web Surveys: The Checklist for Reporting Results of Internet E-Surveys (CHERRIES)6,450 cited
  • 2008The PHQ-8 as a measure of current depression in the general population5,113 cited
  • 2014Advantages and limitations of Internet-based interventions for common mental disorders1,159 cited
  • 2021Barriers to and Facilitators of User Engagement With Digital Mental Health Interventions: Systematic Review1,066 cited
  • 2017Older Adults Perceptions of Technology and Barriers to Interacting with Tablet Computers: A Focus Group Study912 cited
  • 2021Internet-Based Cognitive Behavioral Therapy for Depression864 cited
  • 2016Trends in Racial-Ethnic Disparities in Access to Mental Health Care, 2004–2012545 cited
  • 2001Mini-SPIN: A brief screening assessment for generalized social anxiety disorder537 cited
  • 2008Racial discrimination and psychological distress: The impact of ethnic identity and age among immigrant and United States-born Asian adults.438 cited
  • 2022Digital Health Interventions for Delivery of Mental Health Care: Systematic and Comprehensive Meta-Review435 cited
  • 2015Predictors of treatment dropout in self-guided web-based interventions for depression: an ‘individual patient data’ meta-analysis408 cited
  • 2022Das Metaverse214 cited
  • 2022Eight ways to get a grip on intercoder reliability using qualitative-based measures213 cited

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2018
Mental Help Seeking Attitudes Scale (MHSAS): Development, reliability, validity, and comparison with the ATSPPH-SF and IASMHS-PO.
207 cited
  • 2017Preferences for Internet-Based Mental Health Interventions in an Adult Online Sample: Findings From an Online Community Survey159 cited
  • 2018Attitudes Toward e-Mental Health Services in a Community Sample of Adults: Online Survey158 cited
  • Cited by

    • 2025Cognitive Behavioral Immersion for Depression: Protocol for a Three-Arm Randomized Controlled Trial of Peer-Based Coaching in the Metaverse2 cited