The Perceived Utility of Smartphone and Wearable Sensor Data in Digital Self-tracking Technologies for Mental Health
暂无分享,去创建一个
E. Lattie | K. P. Kruzan | C. Stiles-Shields | Ada Ng | Madhu C. Reddy | D. Mohr | David C Mohr | Colleen Stiles-Shields
[1] Sean A Munson,et al. A Longitudinal Goal Setting Model for Addressing Complex Personal Problems in Mental Health , 2022, Proc. ACM Hum. Comput. Interact..
[2] Kyungsik Han,et al. Prediction for Retrospection: Integrating Algorithmic Stress Prediction into Personal Informatics Systems for College Students’ Mental Health , 2022, CHI.
[3] Madhu C. Reddy,et al. "I Just Can't Help But Smile Sometimes": Collaborative Self-Management of Depression , 2022, Proc. ACM Hum. Comput. Interact..
[4] Andrea K. Graham,et al. An overview of and recommendations for more accessible digital mental health services , 2022, Nature Reviews Psychology.
[5] Daniel A. Epstein,et al. Understanding and Supporting Self-Tracking App Selection , 2021, Proc. ACM Interact. Mob. Wearable Ubiquitous Technol..
[6] Konrad Paul Kording,et al. The relationship between text message sentiment and self-reported depression. , 2021, Journal of affective disorders.
[7] E. Stuart,et al. Diagnoses and Treatment After Depression Screening in Primary Care Among Youth. , 2021, American Journal of Preventive Medicine.
[8] J. Leung,et al. Estimating the global treatment rates for depression: A systematic review and meta-analysis. , 2021, Journal of affective disorders.
[9] Konrad Paul Kording,et al. Evaluation of Changes in Depression, Anxiety, and Social Anxiety Using Smartphone Sensor Features: Longitudinal Cohort Study , 2021, Journal of medical Internet research.
[10] Michael E. Levin,et al. An Open Trial of Group Acceptance and Commitment Therapy With an Adjunctive Mobile App for Generalized Anxiety Disorder , 2021, Cognitive and Behavioral Practice.
[11] Danae M. Dinkel,et al. A qualitative exploration of the feasibility of incorporating depression apps into integrated primary care clinics. , 2021, Translational behavioral medicine.
[12] C. Chew‐Graham,et al. Mental health support through primary care during and after covid-19 , 2021, BMJ.
[13] ScienceOpen Admin. International Perspectives in Psychology: Research, Practice, Consultation , 2021 .
[14] Alishia D. Williams,et al. Internet-Based Cognitive Behavioral Therapy for Depression: A Systematic Review and Individual Patient Data Network Meta-analysis. , 2021, JAMA psychiatry.
[15] D. Mohr,et al. Banbury Forum Consensus Statement on the Path Forward for Digital Mental Health Treatment. , 2021, Psychiatric services.
[16] Yunan Chen,et al. Mapping and Taking Stock of the Personal Informatics Literature , 2020, Proc. ACM Interact. Mob. Wearable Ubiquitous Technol..
[17] Amandeep Dhir,et al. How Self-tracking and the Quantified Self Promote Health and Well-being: Systematic Review. , 2020, Journal of medical Internet research.
[18] Daoyan Jin,et al. Self-tracking behaviour in physical activity: a systematic review of drivers and outcomes of fitness tracking , 2020, Behav. Inf. Technol..
[19] H. O'Brien,et al. Digital Health and Engagement-Looking Behind the Measures and Methods. , 2020, JAMA network open.
[20] Susan M. Kaiser,et al. Coached Mobile App Platform for the Treatment of Depression and Anxiety Among Primary Care Patients: A Randomized Clinical Trial. , 2020, JAMA psychiatry.
[21] David C. Mohr,et al. "Energy is a Finite Resource": Designing Technology to Support Individuals across Fluctuating Symptoms of Depression , 2020, CHI.
[22] J. Champion,et al. Outcomes of depression screening for adolescents accessing pediatric primary care-based services. , 2020, Journal of pediatric nursing.
[23] Tessa Reardon,et al. Why do children and adolescents (not) seek and access professional help for their mental health problems? A systematic review of quantitative and qualitative studies , 2020, European Child & Adolescent Psychiatry.
[24] K. Stearns-Yoder,et al. The Effectiveness of Crisis Line Services: A Systematic Review , 2020, Frontiers in Public Health.
[25] M. Pato,et al. Challenges and Opportunities to Meet the Mental Health Needs of Underserved and Disenfranchised Populations in the United States. , 2020, Focus.
[26] Sean A. Munson,et al. Examining Opportunities for Goal-Directed Self-Tracking to Support Chronic Condition Management , 2019, Proc. ACM Interact. Mob. Wearable Ubiquitous Technol..
[27] G. Pietrabissa,et al. Engaging Children and Young People in Digital Mental Health Interventions: Systematic Review of Modes of Delivery, Facilitators, and Barriers , 2020, Journal of medical Internet research.
[28] Per Carlbring,et al. The efficacy of app‐supported smartphone interventions for mental health problems: a meta‐analysis of randomized controlled trials , 2019, World psychiatry : official journal of the World Psychiatric Association.
[29] José Luís Oliveira,et al. Passive Sensing of Health Outcomes Through Smartphones: Systematic Review of Current Solutions and Possible Limitations , 2019, JMIR mHealth and uHealth.
[30] Susan M. Kaiser,et al. Comparison of the Effects of Coaching and Receipt of App Recommendations on Depression, Anxiety, and Engagement in the IntelliCare Platform: Factorial Randomized Controlled Trial , 2019, Journal of medical Internet research.
[31] A. Powell,et al. The Monetization Strategies of Apps for Anxiety Management: an International Comparison , 2019, Journal of Technology in Behavioral Science.
[32] Andrea K. Graham,et al. Guidance on defining the scope and development of text-based coaching protocols for digital mental health interventions , 2019, Digital health.
[33] A. Furnham,et al. Mental Health Literacy: A Review of What It Is and Why It Matters , 2018, International Perspectives in Psychology.
[34] R. Shah,et al. Association of community-level inequities and premature mortality: Chicago, 2011–2015 , 2018, Journal of Epidemiology & Community Health.
[35] Syed Ali Hussain,et al. Exploring User Needs for a Mobile Behavioral-Sensing Technology for Depression Management: Qualitative Study , 2018, Journal of medical Internet research.
[36] P. de Jonge,et al. Empirical evidence for definitions of episode, remission, recovery, relapse and recurrence in depression: a systematic review , 2018, Epidemiology and Psychiatric Sciences.
[37] Hwajung Hong,et al. MindNavigator: Exploring the Stress and Self-Interventions for Mental Wellness , 2018, CHI.
[38] Rui Wang,et al. Tracking Depression Dynamics in College Students Using Mobile Phone and Wearable Sensing , 2018, Proc. ACM Interact. Mob. Wearable Ubiquitous Technol..
[39] David C. Atkins,et al. Smartphone-Based Passive Assessment of Mobility in Depression: Challenges and Opportunities. , 2018, Mental health and physical activity.
[40] Fiona Lobban,et al. Use of the Internet and Mobile Phones for Self-Management of Severe Mental Health Problems: Qualitative Study of Staff Views , 2017, JMIR mental health.
[41] John Torous,et al. Can smartphone mental health interventions reduce symptoms of anxiety? A meta-analysis of randomized controlled trials. , 2017, Journal of affective disorders.
[42] Tanzeem Choudhury,et al. Sensing behavioral symptoms of mental health and delivering personalized interventions using mobile technologies , 2017, Depression and anxiety.
[43] Bongshin Lee,et al. Self-tracking for Mental Wellness: Understanding Expert Perspectives and Student Experiences , 2017, CHI.
[44] Aaron R Lyon,et al. Accelerating Digital Mental Health Research From Early Design and Creation to Successful Implementation and Sustainment , 2017, Journal of medical Internet research.
[45] Madhu Reddy,et al. Three Problems With Current Digital Mental Health Research . . . and Three Things We Can Do About Them. , 2017, Psychiatric services.
[46] Mark Matthews,et al. Quantifying the Changeable Self: The Role of Self-Tracking in Coming to Terms With and Managing Bipolar Disorder , 2017, Hum. Comput. Interact..
[47] D. Mohr,et al. Integrating Human Support Into Behavioral Intervention Technologies: The Efficiency Model of Support , 2017 .
[48] Skyler Place,et al. Behavioral Indicators on a Mobile Sensing Platform Predict Clinically Validated Psychiatric Symptoms of Mood and Anxiety Disorders , 2017, Journal of medical Internet research.
[49] Rebecca C Rossom,et al. IntelliCare: An Eclectic, Skills-Based App Suite for the Treatment of Depression and Anxiety , 2017, Journal of medical Internet research.
[50] Gregory D. Abowd,et al. Semi-Automated Tracking: A Balanced Approach for Self-Monitoring Applications , 2017, IEEE Pervasive Computing.
[51] Mark Olfson,et al. Treatment of Adult Depression in the United States. , 2016, JAMA internal medicine.
[52] Sean A. Munson,et al. Beyond Abandonment to Next Steps: Understanding and Designing for Life after Personal Informatics Tool Use , 2016, CHI.
[53] M. Phipps,et al. Screening for Depression in Adults: US Preventive Services Task Force Recommendation Statement. , 2016, JAMA.
[54] Sean A. Munson,et al. PlanSourcing: Generating Behavior Change Plans with Friends and Crowds , 2016, CSCW.
[55] M. Phipps,et al. Screening for Depression in Adults: US Preventive Services Task Force Recommendation Statement. , 2016, JAMA.
[56] Sean A. Munson,et al. A lived informatics model of personal informatics , 2015, UbiComp.
[57] Mirco Musolesi,et al. Trajectories of depression: unobtrusive monitoring of depressive states by means of smartphone mobility traces analysis , 2015, UbiComp.
[58] E. Costello,et al. Adult Functional Outcomes of Common Childhood Psychiatric Problems: A Prospective, Longitudinal Study. , 2015, JAMA psychiatry.
[59] J. Ancker,et al. “You Get Reminded You’re a Sick Person”: Personal Data Tracking and Patients With Multiple Chronic Conditions , 2015, Journal of medical Internet research.
[60] Konrad Paul Kording,et al. Mobile Phone Sensor Correlates of Depressive Symptom Severity in Daily-Life Behavior: An Exploratory Study , 2015, Journal of medical Internet research.
[61] Andrew T. Campbell,et al. Next-generation psychiatric assessment: Using smartphone sensors to monitor behavior and mental health. , 2015, Psychiatric rehabilitation journal.
[62] B. Druss,et al. Insurance status, use of mental health services, and unmet need for mental health care in the United States. , 2015, Psychiatric services.
[63] R. Elliott,et al. A systematic review and meta-analysis of exercise interventions in schizophrenia patients , 2015, Psychological Medicine.
[64] M. Keshavan,et al. Patient Smartphone Ownership and Interest in Mobile Apps to Monitor Symptoms of Mental Health Conditions: A Survey in Four Geographically Distinct Psychiatric Clinics , 2014, JMIR mental health.
[65] P. Skorga,et al. Collaborative care for depression and anxiety problems , 2013 .
[66] G. Andersson,et al. A Meta-Analysis of Cognitive-Behavioural Therapy for Adult Depression, Alone and in Comparison with other Treatments , 2013, Canadian journal of psychiatry. Revue canadienne de psychiatrie.
[67] M. Sheelagh T. Carpendale,et al. Personal informatics in chronic illness management , 2013, Graphics Interface.
[68] A. Senthilselvan,et al. Social, demographic, and health outcomes in the 10 years following adolescent depression. , 2013, The Journal of adolescent health : official publication of the Society for Adolescent Medicine.
[69] Tine Kolenik. Methods in Digital Mental Health: Smartphone-Based Assessment and Intervention for Stress, Anxiety, and Depression , 2012, Internet of Things.
[70] Tanzeem Choudhury,et al. Passive and In-Situ assessment of mental and physical well-being using mobile sensors , 2011, UbiComp '11.
[71] D. Mohr,et al. Harnessing Context Sensing to Develop a Mobile Intervention for Depression , 2011, Journal of medical Internet research.
[72] P. Cuijpers,et al. Supportive Accountability: A Model for Providing Human Support to Enhance Adherence to eHealth Interventions , 2011, Journal of medical Internet research.
[73] H. Christensen,et al. Perceived barriers and facilitators to mental health help-seeking in young people: a systematic review , 2010, BMC psychiatry.
[74] H A Pincus,et al. Barriers to mental health treatment: results from the National Comorbidity Survey Replication , 2010, Psychological Medicine.
[75] Nuria Oliver,et al. A study of mobile mood awareness and communication through MobiMood , 2010, NordiCHI.
[76] P. Cuijpers,et al. Stepped care for depression in primary care: what should be offered and how? , 2010, The Medical journal of Australia.
[77] Joyce Ho,et al. Perceived barriers to psychological treatments and their relationship to depression. , 2010, Journal of clinical psychology.
[78] E. Bruns,et al. Defining practice: flexibility, legitimacy, and the nature of systems of care and wraparound. , 2010, Evaluation and program planning.
[79] G. Andersson,et al. Development of a New Approach to Guided Self-Help via the Internet: The Swedish Experience , 2008 .
[80] Lena Mamykina,et al. MAHI: investigation of social scaffolding for reflective thinking in diabetes management , 2008, CHI.
[81] Mark Matthews,et al. Mobile phone mood charting for adolescents , 2008 .
[82] Jasper A. J. Smits,et al. DISORDERS : A META-ANALYSIS OF RANDOMIZED PLACEBO-CONTROLLED TRIALS , 2008 .
[83] P. Cuijpers,et al. Behavioral activation treatments of depression: a meta-analysis. , 2007, Clinical psychology review.
[84] D. Mohr,et al. Barriers to psychotherapy among depressed and nondepressed primary care patients , 2006, Annals of behavioral medicine : a publication of the Society of Behavioral Medicine.
[85] Hsiu-Fang Hsieh,et al. Three Approaches to Qualitative Content Analysis , 2005, Qualitative health research.
[86] R. Kessler,et al. Twelve-month use of mental health services in the United States: results from the National Comorbidity Survey Replication. , 2005, Archives of general psychiatry.
[87] Olga V. Demler,et al. Lifetime prevalence and age-of-onset distributions of DSM-IV disorders in the National Comorbidity Survey Replication. , 2005, Archives of general psychiatry.
[88] Nicholas Ladany,et al. Consensual Qualitative Research: An Update , 2005 .
[89] H. Pincus,et al. Aligning incentives in the treatment of depression in primary care with evidence-based practice. , 2003, Psychiatric services.
[90] Andrew Lee,et al. Treating depression in general practice: factors affecting patients' treatment preferences. , 2000, The British journal of general practice : the journal of the Royal College of General Practitioners.
[91] C. Sherbourne,et al. Treatment preferences among depressed primary care patients , 2000, Journal of General Internal Medicine.
[92] D. Fergusson,et al. Risk factors and life processes associated with the onset of suicidal behaviour during adolescence and early adulthood , 2000, Psychological Medicine.
[93] R G Priest,et al. Lay people's attitudes to treatment of depression: results of opinion poll for Defeat Depression Campaign just before its launch , 1996, BMJ.
[94] J. VanDenBerg,et al. Individualized services and supports through the wraparound process: Philosophy and procedures , 1996 .
[95] Richard J. Holden,et al. Systematic review of smartphone-based passive sensing for health and wellbeing , 2018, J. Biomed. Informatics.
[96] Kai Zheng,et al. Mobile apps for mood tracking: an analysis of features and user reviews , 2017, AMIA.
[97] Alan E Kazdin,et al. Addressing the treatment gap: A key challenge for extending evidence-based psychosocial interventions. , 2017, Behaviour research and therapy.
[98] Madhu C. Reddy,et al. Sharing Patient-Generated Data in Clinical Practices: An Interview Study , 2016, AMIA.