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Sociodemographic Characteristics Associated With an eHealth System Designed to Reduce Depressive Symptoms Among Patients With Breast or Prostate Cancer: Prospective Study

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References

2016The influence of gender and other patient characteristics on health care-seeking behaviour: a QUALICOPC study1,154 cited
2015Emerging mHealth and eHealth interventions for serious mental illness: a review of the literature327 cited
2019Sociodemographic Factors Influencing the Use of eHealth in People with Chronic Diseases258 cited
2017eHealth interventions for the prevention of depression and anxiety in the general population: a systematic review and meta-analysis222 cited
2017Current Views and Perspectives on E-Mental Health: An Exploratory Survey Study for Understanding Public Attitudes Toward Internet-Based Psychotherapy in Germany90 cited
2020A protocol for a multicentre, parallel-group, pragmatic randomised controlled trial to evaluate the NEVERMIND system in preventing and treating depression in patients with severe somatic conditions15 cited
2022The NEVERMIND e-health system in the treatment of depressive symptoms among patients with severe somatic conditions: A multicentre, pragmatic randomised controlled trial14 cited

Cited by

2024Age, Technology, and the Digital Divide: Are They Directly Related to Mental Health Problems?20 cited
2023Predictors of the Use of a Mental Health–Focused eHealth System in Patients With Breast and Prostate Cancer: Bayesian Structural Equation Modeling Analysis of a Prospective Study2 cited

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