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Mobile technology for mental health assessment
1 references·16 citing·52 second hop
Mobile technology for mental health assessment (2016)Mobile technology for mental health asses…Mobile Phone Sensor Correlates of Depressive Symptom Severity in Daily-Life Behavior: An Exploratory Study (2015)Mobile Phone Sensor Correlate…Associations between perceived usefulness and willingness to use smart healthcare devices among Chinese older adults: The multiple mediating effect of technology interactivity and technology anxiety (2024)Associations between perceive…Exploring User Perspectives of and Ethical Experiences With Teletherapy Apps: Qualitative Analysis of User Reviews (2023)Exploring User Perspectives o…Mobile phone enabled mental health monitoring to enhance diagnosis for severity assessment of behaviours: a review (2022)Mobile phone enabled mental h…Methods in Digital Mental Health: Smartphone-Based Assessment and Intervention for Stress, Anxiety, and Depression (2022)Methods in Digital Mental Hea…Experiences of a Speech-enabled Conversational Agent for the Self-report of Well-being among People Living with Affective Disorders: An In-the-Wild Study (2022)Experiences of a Speech-enabl…A Scoping Review of Sensors, Wearables, and Remote Monitoring For Behavioral Health: Uses, Outcomes, Clinical Competencies, and Research Directions (2021)A Scoping Review of Sensors, …Perceptions and Attitudes Toward a Mobile Phone App for Mental Health for College Students: Qualitative Focus Group Study (2020)Perceptions and Attitudes Tow…Mobile App for Mental Health Monitoring and Clinical Outreach in Veterans: Mixed Methods Feasibility and Acceptability Study (2020)Mobile App for Mental Health …"Energy is a Finite Resource": Designing Technology to Support Individuals across Fluctuating Symptoms of Depression (2020)"Energy is a Finite Resource"…Young adults’ perceptions of using wearables, social media and other technologies to detect worsening mental health: A qualitative study (2019)Young adults’ perceptions of …The accuracy of passive phone sensors in predicting daily mood (2018)The accuracy of passive phone…Promises and Challenges in the Use of Consumer-Grade Devices for Sleep Monitoring (2018)Promises and Challenges in th…Advances in Mobile Mental Health: Opportunities and Implications for the Spectrum of E-Mental Health Services (2018)Advances in Mobile Mental Hea…The use of ICT devices by older people with a special focus on their type and respondents’ age: A Czech case study (2017)The use of ICT devices by old…The promise of digital mood tracking technologies: are we heading on the right track? (2017)The promise of digital mood t…Advances in mobile mental health: opportunities and implications for the spectrum of e-mental health services (2017)Advances in mobile mental hea…Lifetime and 12-Month Prevalence of DSM-III-R Psychiatric Disorders in the United States (1994)The PHQ-9 (2001)Lifetime Prevalence and Age-of-Onset Distributions of DSM-IV Disorders in the National Comorbidity Survey Replication (2005)The WPA- Lancet Psychiatry Commission on the Future of Psychiatry (2017)Facebook language predicts depression in medical records (2018)Identifying Objective Physiological Markers and Modifiable Behaviors for Self-Reported Stress and Mental Health Status Using Wearable Sensors and Mobile Phones: Observational Study (2018)The PRISMA Statement for Reporting Systematic Reviews and Meta-Analyses of Studies That Evaluate Health Care Interventions: Explanation and Elaboration (2009)The PRISMA Statement for Reporting Systematic Reviews and Meta-Analyses of Studies That Evaluate Health Care Interventions: Explanation and Elaboration (2009)The PRISMA statement for reporting systematic reviews and meta-analyses of studies that evaluate health care interventions: explanation and elaboration (2009)Measuring Psychiatric Symptoms Remotely: a Systematic Review of Remote Measurement-Based Care (2018)Acceptance and Expectations of Medical Experts, Students, and Patients Toward Electronic Mental Health Apps: Cross-Sectional Quantitative and Qualitative Survey Study (2019)Apps, Avatars, and Robots: The Future of Mental Healthcare (2019)Capturing momentary, self-report data: A proposal for reporting guidelines (2002)A Procedure for Evaluating Sensitivity to Within-Person Change: Can Mood Measures in Diary Studies Detect Change Reliably? (2006)Mood Monitoring Over One Year for People With Chronic Obstructive Pulmonary Disease Using a Mobile Health System: Retrospective Analysis of a Randomized Controlled Trial (2019)Predicting Depression via Social Media (2021)User experience and acceptance of patients and healthy adults testing a personalized self-management app for depression: A non-randomized mixed-methods feasibility study (2022)Using Speech Agents for Mood Logging within Blended Mental Healthcare: Mental Healthcare Practitioners' Perspectives (2024)A manual for standardized terminology, techniques and scoring system for sleep stages in human subjects (1968)STATISTICAL METHODS FOR ASSESSING AGREEMENT BETWEEN TWO METHODS OF CLINICAL MEASUREMENT (1986)The American Academy of Sleep Medicine (AASM) Manual for the Scoring of Sleep and Associated Events: Rules, Terminology and Technical Specifications (2007)Evaluations of Commercial Sleep Technologies for Objective Monitoring During Routine Sleeping Conditions (2020)Guiding principles for determining work shift duration and addressing the effects of work shift duration on performance, safety, and health: guidance from the American Academy of Sleep Medicine and the Sleep Research Society (2021)Guiding principles for determining work shift duration and addressing the effects of work shift duration on performance, safety, and health: guidance from the American Academy of Sleep Medicine and the Sleep Research Society (2021)The Epidemiology of Major Depressive Disorder (2003)Global burden of disease attributable to mental and substance use disorders: findings from the Global Burden of Disease Study 2010 (2013)Using Digital Phenotyping to Accurately Detect Depression Severity (2019)Testing the Efficacy of a Multicomponent, Self-Guided, Smartphone-Based Meditation App: Three-Armed Randomized Controlled Trial (2020)Evaluation of Changes in Depression, Anxiety, and Social Anxiety Using Smartphone Sensor Features: Longitudinal Cohort Study (2021)Using thematic analysis in psychology (2006)Consolidated criteria for reporting qualitative research (COREQ): a 32-item checklist for interviews and focus groups (2007)Passive sensing on mobile devices to improve mental health services with adolescent and young mothers in low-resource settings: the role of families in feasibility and acceptability (2021)Mental health monitoring apps for depression and anxiety in children and young people: A scoping review and critical ecological analysis (2022)Self-Management of Subclinical Common Mental Health Disorders (Anxiety, Depression and Sleep Disorders) Using Wearable Devices (2023)How Many Interviews Are Enough? (2005)Exploring the societal implications of digital mental health technologies: A critical review (2024)"I Don't Know Why I Should Use This App": Holistic Analysis on User Engagement Challenges in Mobile Mental Health (2025)The benefits of being present: Mindfulness and its role in psychological well-being. (2003)Thematic analysis. 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References

  • 2015Mobile Phone Sensor Correlates of Depressive Symptom Severity in Daily-Life Behavior: An Exploratory Study781 cited

Cited by

  • 2018The accuracy of passive phone sensors in predicting daily mood119 cited
  • 2017Advances in mobile mental health: opportunities and implications for the spectrum of e-mental health services86 cited
  • 2018Promises and Challenges in the Use of Consumer-Grade Devices for Sleep Monitoring85 cited
  • 2019Young adults’ perceptions of using wearables, social media and other technologies to detect worsening mental health: A qualitative study68 cited
  • 2021A Scoping Review of Sensors, Wearables, and Remote Monitoring For Behavioral Health: Uses, Outcomes, Clinical Competencies, and Research Directions67 cited
  • 2020"Energy is a Finite Resource": Designing Technology to Support Individuals across Fluctuating Symptoms of Depression64 cited
  • 2017The promise of digital mood tracking technologies: are we heading on the right track?62 cited
  • 2022Methods in Digital Mental Health: Smartphone-Based Assessment and Intervention for Stress, Anxiety, and Depression34 cited
  • 2020Mobile App for Mental Health Monitoring and Clinical Outreach in Veterans: Mixed Methods Feasibility and Acceptability Study33 cited
  • 2018Advances in Mobile Mental Health: Opportunities and Implications for the Spectrum of E-Mental Health Services30 cited
  • 2020Perceptions and Attitudes Toward a Mobile Phone App for Mental Health for College Students: Qualitative Focus Group Study30 cited

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  • 2022Experiences of a Speech-enabled Conversational Agent for the Self-report of Well-being among People Living with Affective Disorders: An In-the-Wild Study29 cited
  • 2024Associations between perceived usefulness and willingness to use smart healthcare devices among Chinese older adults: The multiple mediating effect of technology interactivity and technology anxiety22 cited
  • 2023Exploring User Perspectives of and Ethical Experiences With Teletherapy Apps: Qualitative Analysis of User Reviews20 cited
  • 2022Mobile phone enabled mental health monitoring to enhance diagnosis for severity assessment of behaviours: a review19 cited
  • 2017The use of ICT devices by older people with a special focus on their type and respondents’ age: A Czech case study19 cited