Symptom Reduction and Engagement in a Cognitive-Behavioral Mobile Phone App: A Study of User Profiling to Determine Prognostic Indicators
暂无分享,去创建一个
[1] W. Lutz,et al. Movement-based patient-therapist attunement in psychological therapy and its association with early change , 2022, Digital health.
[2] W. Lutz,et al. Measurement-Based and Data-Informed Psychological Therapy. , 2021, Annual review of clinical psychology.
[3] J. Brewer,et al. Analyzing the Impact of Mobile App Engagement on Mental Health Outcomes: Secondary Analysis of the Unwinding Anxiety Program , 2021, Journal of medical Internet research.
[4] N. Kazantzis,et al. Editorial: Contemporary Issues in Defining the Mechanisms of Cognitive Behavior Therapy , 2021, Frontiers in Psychiatry.
[5] S. Schueller,et al. User Experience, Engagement, and Popularity in Mental Health Apps: Secondary Analysis of App Analytics and Expert App Reviews , 2021, JMIR human factors.
[6] Seunghyun Kim,et al. Where Is the Age of Digitalization Heading? The Meaning, Characteristics, and Implications of Contemporary Digital Transformation , 2021, Sustainability.
[7] D. Dorstyn,et al. Mental health apps for adolescents and young adults: A systematic review of randomised controlled trials , 2021 .
[8] Simon B. Goldberg,et al. Mobile phone-based interventions for mental health: A systematic meta-review of 14 meta-analyses of randomized controlled trials , 2021, PLOS digital health.
[9] N. Kazantzis,et al. A Comprehensive Model of Homework in Cognitive Behavior Therapy , 2021, Cognitive Therapy and Research.
[10] W. Lutz,et al. Prospective evaluation of a clinical decision support system in psychological therapy. , 2021, Journal of consulting and clinical psychology.
[11] Elisa Infanti,et al. Mobile Apps That Promote Emotion Regulation, Positive Mental Health, and Well-being in the General Population: Systematic Review and Meta-analysis , 2021, JMIR mental health.
[12] A. Catarino,et al. Depression subtypes and their response to cognitive behavioral therapy: A latent transition analysis , 2021, Depression and anxiety.
[13] F. Gunning,et al. Smartphone apps for depression and anxiety: a systematic review and meta-analysis of techniques to increase engagement , 2021, npj Digital Medicine.
[14] S. Hofmann,et al. Engagement with smartphone-delivered behavioural activation interventions: a study of the MoodMission smartphone application , 2020, Behavioural and Cognitive Psychotherapy.
[15] P. Bastani,et al. The effects of mobile apps on stress, anxiety, and depression: overview of systematic reviews , 2020, International Journal of Technology Assessment in Health Care.
[16] B. Muthén,et al. Latent transition analysis with random intercepts (RI-LTA). , 2020, Psychological methods.
[17] Christine D. Wilson-Mendenhall,et al. Testing the Efficacy of a Multicomponent, Self-Guided, Smartphone-Based Meditation App: Three-Armed Randomized Controlled Trial , 2020, JMIR mental health.
[18] N. Humphrey,et al. Latent Class Analysis of Mental Health in Middle Childhood: Evidence for the Dual-Factor Model , 2020, School Mental Health.
[19] A. Blackwell,et al. Refining our understanding of depressive states and state transitions in response to cognitive behavioural therapy using latent Markov modelling , 2020, Psychological Medicine.
[20] W. Lutz,et al. Patterns of change and their relationship to outcome and follow-up in group and individual psychotherapy for depression. , 2020, Journal of consulting and clinical psychology.
[21] C. Ruggero,et al. eHealth to redress psychotherapy access barriers both new and old: A review of reviews and meta-analyses. , 2020 .
[22] J. Torous,et al. Smartphone apps for the treatment of mental health conditions: status and considerations. , 2020, Current opinion in psychology.
[23] R. Orji,et al. Insights from user reviews to improve mental health apps , 2020, Health Informatics J..
[24] Y. Byrow,et al. Perceptions of mental health and perceived barriers to mental health help-seeking amongst refugees: A systematic review. , 2019, Clinical psychology review.
[25] Wolfgang Lutz,et al. Towards integrating personalized feedback research into clinical practice: Development of the Trier Treatment Navigator (TTN). , 2019, Behaviour research and therapy.
[26] Amit Baumel,et al. Objective User Engagement With Mental Health Apps: Systematic Search and Panel-Based Usage Analysis , 2019, Journal of medical Internet research.
[27] N. Rickard,et al. Engagement with a cognitive behavioural therapy mobile phone app predicts changes in mental health and wellbeing: MoodMission , 2019, Australian Psychologist.
[28] John F. Hunter,et al. Use of Digital Mental Health for Marginalized and Underserved Populations , 2019, Current Treatment Options in Psychiatry.
[29] M. Larimer,et al. Transitions in drinking behaviors across the college years: A latent transition analysis. , 2019, Addictive behaviors.
[30] John Torous,et al. User Engagement in Mental Health Apps: A Review of Measurement, Reporting, and Validity. , 2019, Psychiatric services.
[31] M. Furlong,et al. A latent transition analysis of the longitudinal stability of dual-factor mental health in adolescence. , 2019, Journal of school psychology.
[32] W. Assendelft,et al. eHealth Apps Replacing or Complementing Health Care Contacts: Scoping Review on Adverse Effects , 2019, Journal of medical Internet research.
[33] N. Rickard,et al. Development and Pilot Evaluation of Smartphone-Delivered Cognitive Behavior Therapy Strategies for Mood- and Anxiety-Related Problems: MoodMission , 2018, Cognitive and Behavioral Practice.
[34] David Bakker,et al. A randomized controlled trial of three smartphone apps for enhancing public mental health. , 2018, Behaviour research and therapy.
[35] S. Hollon,et al. Demographic and clinical predictors of response to internet-enabled cognitive–behavioural therapy for depression and anxiety , 2018, BJPsych open.
[36] M. Paulus,et al. Predicting Barriers to Treatment for Depression in a U.S. National Sample: A Cross-Sectional, Proof-of-Concept Study. , 2018, Psychiatric services.
[37] John Torous,et al. Clinical review of user engagement with mental health smartphone apps: evidence, theory and improvements , 2018, Evidence Based Journals.
[38] D. Clark. Realizing the Mass Public Benefit of Evidence-Based Psychological Therapies: The IAPT Program. , 2018, Annual review of clinical psychology.
[39] David Bakker,et al. Engagement in mobile phone app for self-monitoring of emotional wellbeing predicts changes in mental health: MoodPrism. , 2018, Journal of affective disorders.
[40] Alexander Mertens,et al. Prevalence of Health App Use Among Older Adults in Germany: National Survey , 2018, JMIR mHealth and uHealth.
[41] D. Silove,et al. Twelve-month trajectories of depressive and anxiety symptoms and associations with traumatic exposure and ongoing adversities: a latent trajectory analysis of a community cohort exposed to severe conflict in Sri Lanka , 2017, Translational Psychiatry.
[42] Martin Hautzinger,et al. Defining and Predicting Patterns of Early Response in a Web-Based Intervention for Depression , 2017, Journal of medical Internet research.
[43] John Torous,et al. Needed Innovation in Digital Health and Smartphone Applications for Mental Health: Transparency and Trust. , 2017, JAMA psychiatry.
[44] J. Sundquist,et al. Longitudinal trends in self-reported anxiety. Effects of age and birth cohort during 25 years , 2017, BMC Psychiatry.
[45] Gerhard Andersson,et al. Efficacy of Self-guided Internet-Based Cognitive Behavioral Therapy in the Treatment of Depressive Symptoms: A Meta-analysis of Individual Participant Data , 2017, JAMA psychiatry.
[46] K. Johansson,et al. Differences in motivation and adherence to a prescribed assignment after face-to-face and online psychoeducation: an experimental study , 2017, BMC psychology.
[47] David C. Atkins,et al. The Use and Effectiveness of Mobile Apps for Depression: Results From a Fully Remote Clinical Trial , 2016, Journal of medical Internet research.
[48] A. Astell,et al. Cognitive Behavior Therapy for Anxious and Depressed Youth: Improving Homework Adherence Through Mobile Technology , 2016, JMIR research protocols.
[49] A. Memon,et al. Perceived barriers to accessing mental health services among black and minority ethnic (BME) communities: a qualitative study in Southeast England , 2016, The Lancet.
[50] G. Andersson,et al. Does Internet-based guided-self-help for depression cause harm? An individual participant data meta-analysis on deterioration rates and its moderators in randomized controlled trials , 2016, Psychological Medicine.
[51] Craig Whittington,et al. Quantity and Quality of Homework Compliance: A Meta-Analysis of Relations With Outcome in Cognitive Behavior Therapy. , 2016, Behavior therapy.
[52] David W. Bates,et al. Usability of Commercially Available Mobile Applications for Diverse Patients , 2016, Journal of General Internal Medicine.
[53] N. Rickard,et al. Mental Health Smartphone Apps: Review and Evidence-Based Recommendations for Future Developments , 2016, JMIR mental health.
[54] Ricardo Araya,et al. Computerised cognitive behaviour therapy (cCBT) as treatment for depression in primary care (REEACT trial): large scale pragmatic randomised controlled trial , 2016, BMJ : British Medical Journal.
[55] Richard B. Fletcher,et al. Pessimism and Homework in CBT for Depression. , 2015, Journal of clinical psychology.
[56] S. Landau,et al. Anxiety and anxious-depression in Parkinson's disease over a 4-year period: a latent transition analysis , 2015, Psychological Medicine.
[57] H. Uchida,et al. Language Barriers and Access to Psychiatric Care: A Systematic Review. , 2015, Psychiatric services.
[58] S. Gilbody,et al. Early changes, attrition, and dose-response in low intensity psychological interventions. , 2014, The British journal of clinical psychology.
[59] James F. Boswell,et al. Patterns of early change and their relationship to outcome and early treatment termination in patients with panic disorder. , 2014, Journal of consulting and clinical psychology.
[60] Valerie Møller,et al. How Does Subjective Well-Being Evolve with Age? A Literature Review , 2013, SSRN Electronic Journal.
[61] Alice T. Sawyer,et al. The Efficacy of Cognitive Behavioral Therapy: A Review of Meta-analyses , 2012, Cognitive Therapy and Research.
[62] Lena Sanci,et al. Self-monitoring Using Mobile Phones in the Early Stages of Adolescent Depression: Randomized Controlled Trial , 2012, Journal of medical Internet research.
[63] Derek Richards,et al. Computer-based psychological treatments for depression: a systematic review and meta-analysis. , 2012, Clinical psychology review.
[64] B. A. Tanner,et al. Validity of Global Physical and Emotional SUDS , 2012, Applied psychophysiology and biofeedback.
[65] John A Updegraff,et al. Mindfulness and its relationship to emotional regulation. , 2012, Emotion.
[66] Peter Bühlmann,et al. MissForest - non-parametric missing value imputation for mixed-type data , 2011, Bioinform..
[67] Leanne M. Casey,et al. Dropout from Internet-based treatment for psychological disorders. , 2010, The British journal of clinical psychology.
[68] Craig Whittington,et al. Meta‐Analysis of Homework Effects in Cognitive and Behavioral Therapy: A Replication and Extension , 2010 .
[69] B. Olatunji,et al. Emotion Regulation and the Anxiety Disorders: An Integrative Review , 2010, Journal of psychopathology and behavioral assessment.
[70] Thomas L. Patterson,et al. The Relationship Between Homework Compliance and Therapy Outcomes: An Updated Meta-Analysis , 2010, Cognitive Therapy and Research.
[71] Megan E. Patrick,et al. Latent Transition Analysis: Benefits of a Latent Variable Approach to Modeling Transitions in Substance Use , 2010, Journal of drug issues.
[72] B. Löwe,et al. A brief measure for assessing generalized anxiety disorder: the GAD-7. , 2006, Archives of internal medicine.
[73] Frank P. Deane,et al. Using Homework Assignments in Cognitive Behavior Therapy , 2005 .
[74] Helena C Kraemer,et al. Centring in regression analyses: a strategy to prevent errors in statistical inference , 2004, International journal of methods in psychiatric research.
[75] L. A. Goodman. Applied Latent Class Analysis: Latent Class Analysis: The Empirical Study of Latent Types, Latent Variables, and Latent Structures , 2002 .
[76] F. Deane,et al. Concluding causation from correlation: comment on Burns and Spangler (2000). , 2001, Journal of consulting and clinical psychology.
[77] R. Spitzer,et al. The PHQ-9 , 2001, Journal of General Internal Medicine.
[78] S. Heidrich. Self-Discrepancy Across the Life Span , 1999 .
[79] H Orn,et al. Help-Seeking for Psychiatric Disorders , 1997, Canadian journal of psychiatry. Revue canadienne de psychiatrie.
[80] Congcong WEN,et al. Random intercept latent transition analysis (RI-LTA): Separating the between-subject variation from the within-subject variation , 2021, Advances in Psychological Science.
[81] James R. Andretta,et al. The impact of stress latent class membership and transitions on statutory service and alcohol use in adolescents across 33 months. , 2019, Journal of adolescence.
[82] Jodi M. Gonzalez,et al. How the relationship of attitudes toward mental health treatment and service use differs by age, gender, ethnicity/race and education , 2009, Social Psychiatry and Psychiatric Epidemiology.