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Race and socioeconomic status as predictors of willingness to use internet-based treatments or face-to-face psychotherapy: A nationally representative study
16 references·0 citing·44 second hop
Race and socioeconomic status as predictors of willingness to use internet-based treatments or face-to-face psychotherapy: A nationally representative study (2022)Race and socioeconomic status as predicto…It Is Time to REACT: Opportunities for Digital Mental Health Apps to Reduce Mental Health Disparities in Racially and Ethnically Minoritized Groups (2021)It Is Time to REACT: Opportun…Is There an App for That? A Review of Popular Apps for Depression, Anxiety, and Well-Being (2021)Is There an App for That? A R…Considerations of diversity, equity, and inclusion in mental health apps: A scoping review of evaluation frameworks (2021)Considerations of diversity, …Reassessing evidence-based content in popular smartphone apps for depression and anxiety: Developing and applying user-adjusted analyses. 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(2003)Behavioural nudges increase COVID-19 vaccinations (2021)Umbrella review of meta-analyses on the risk factors, protective factors, consequences and interventions of cyberbullying victimization (2024)Effect sizes for nonparametric tests (2025)Inequality in Quality (2000)Racial/Ethnic Differences in Physician Distrust in the United States (2007)Measuring trust in vaccination: A systematic review (2018)Towards a More Inclusive and Dynamic Understanding of Medical Mistrust Informed by Science (2019)Potential barriers to the use of health services among ethnic minorities: a review (2006)Cultural competence in mental health care: a review of model evaluations (2007)Perceived barriers to accessing mental health services among black and minority ethnic (BME) communities: a qualitative study in Southeast England (2016)Implementation intentions: Strong effects of simple plans. (1999)Toward an integrative social identity model of collective action: A quantitative research synthesis of three socio-psychological perspectives. (2008)The theory of planned behavior: Frequently asked questions (2020)Detecting Common Method Bias (2019)Initial validation of the general attitudes towards Artificial Intelligence Scale (2020)Profiling teachers' readiness for online teaching and learning in higher education: Who's ready? (2020)
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References

  • 2002Short screening scales to monitor population prevalences and trends in non-specific psychological distress10,301 cited
  • 2001Efficacy of the Theory of Planned Behaviour: A meta‐analytic review9,964 cited
  • 2003Screening for Serious Mental Illness in the General Population5,679 cited
  • 2012The Theory of Planned Behavior5,352 cited
  • 2007psych: Procedures for Psychological, Psychometric, and Personality Research2,973 cited
  • 2020effectsize: Estimation of Effect Size Indices and Standardized Parameters2,103 cited
  • 2012Validity study of the K6 scale as a measure of moderate mental distress based on mental health treatment need and utilization940 cited
  • 2003Race and trust in the health care system842 cited
  • 2003Ethnic variations in pathways to and use of specialist mental health services in the UK434 cited
  • 2019A review of popular smartphone apps for depression and anxiety: Assessing the inclusion of evidence-based content160 cited
  • 2019Use of Technology to Provide Mental Health Care for Racial and Ethnic Minorities: Evidence, Promise, and Challenges143 cited
  • 2021Considerations of diversity, equity, and inclusion in mental health apps: A scoping review of evaluation frameworks118 cited
  • 2021It Is Time to REACT: Opportunities for Digital Mental Health Apps to Reduce Mental Health Disparities in Racially and Ethnically Minoritized Groups107 cited

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2020
Examining the Reach of Smartphone Apps for Depression and Anxiety
87 cited
  • 2020Reassessing evidence-based content in popular smartphone apps for depression and anxiety: Developing and applying user-adjusted analyses.84 cited
  • 2021Is There an App for That? A Review of Popular Apps for Depression, Anxiety, and Well-Being69 cited
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