Published on in Vol 19, No 7 (2017): July

Smartphone-Based Monitoring of Objective and Subjective Data in Affective Disorders: Where Are We and Where Are We Going? Systematic Review

Smartphone-Based Monitoring of Objective and Subjective Data in Affective Disorders: Where Are We and Where Are We Going? Systematic Review

Smartphone-Based Monitoring of Objective and Subjective Data in Affective Disorders: Where Are We and Where Are We Going? Systematic Review

Journals

  1. Yang Y, Ryu G, Park C, Yeom I, Shim K, Choi M. Mood and Stress Evaluation of Adult Patients With Moyamoya Disease in Korea: Ecological Momentary Assessment Method Using a Mobile Phone App. JMIR mHealth and uHealth 2020;8(5):e17034 View
  2. Magee J, Adut S, Brazill K, Warnick S. Mobile App Tools for Identifying and Managing Mental Health Disorders in Primary Care. Current Treatment Options in Psychiatry 2018;5(3):345 View
  3. khan Z, Alotaibi S. Applications of Artificial Intelligence and Big Data Analytics in m-Health: A Healthcare System Perspective. Journal of Healthcare Engineering 2020;2020:1 View
  4. Dhainaut J, Huot L, Bouchara Pomar V, Dubray C, Augé P, Barthélémy P, Belghiti J, Bureau S, Cassagnes J, Deblois S, Di Palma M, Dorsay G, Duchossoy L, Durand-Salmon F, Escudier T, Fiorini M, Franc S, Gelpi O, Laporte S, Lavallée E, Lethiec F, Meunier J, Peyret O, Samalin L, Vicaut E, de Saint-Exupéry E, Bouley A. Utilisation des objets connectés en recherche clinique. Therapies 2018;73(1):41 View
  5. Faurholt-Jepsen M, Bauer M, Kessing L. Smartphone-based objective monitoring in bipolar disorder: status and considerations. International Journal of Bipolar Disorders 2018;6(1) View
  6. Yang Y, Ryu G, Choi M. Methodological Strategies for Ecological Momentary Assessment to Evaluate Mood and Stress in Adult Patients Using Mobile Phones: Systematic Review. JMIR mHealth and uHealth 2019;7(4):e11215 View
  7. Van Meter A, Birnbaum M, Rizvi A, Kane J. Online help-seeking prior to diagnosis: Can web-based resources reduce the duration of untreated mood disorders in young people?. Journal of Affective Disorders 2019;252:130 View
  8. Rocha N, Rodrigues dos Santos M, Cerqueira M, Queirós A. Mobile Health to Support Ageing in Place. International Journal of E-Health and Medical Communications 2019;10(3):1 View
  9. Seppälä J, De Vita I, Jämsä T, Miettunen J, Isohanni M, Rubinstein K, Feldman Y, Grasa E, Corripio I, Berdun J, D'Amico E, Bulgheroni M. Mobile Phone and Wearable Sensor-Based mHealth Approaches for Psychiatric Disorders and Symptoms: Systematic Review. JMIR Mental Health 2019;6(2):e9819 View
  10. Tønning M, Kessing L, Bardram J, Faurholt-Jepsen M. Methodological Challenges in Randomized Controlled Trials on Smartphone-Based Treatment in Psychiatry: Systematic Review. Journal of Medical Internet Research 2019;21(10):e15362 View
  11. Matcham F, Barattieri di San Pietro C, Bulgari V, de Girolamo G, Dobson R, Eriksson H, Folarin A, Haro J, Kerz M, Lamers F, Li Q, Manyakov N, Mohr D, Myin-Germeys I, Narayan V, BWJH P, Ranjan Y, Rashid Z, Rintala A, Siddi S, Simblett S, Wykes T, Hotopf M. Remote assessment of disease and relapse in major depressive disorder (RADAR-MDD): a multi-centre prospective cohort study protocol. BMC Psychiatry 2019;19(1) View
  12. Tazawa Y, Wada M, Mitsukura Y, Takamiya A, Kitazawa M, Yoshimura M, Mimura M, Kishimoto T. Actigraphy for evaluation of mood disorders: A systematic review and meta-analysis. Journal of Affective Disorders 2019;253:257 View
  13. de la Cámara C, Lobo A. The assessment of self-esteem: a psychiatric perspective. International Psychogeriatrics 2020;32(2):161 View
  14. Lorenz N, Spada J, Sander C, Riedel-Heller S, Hegerl U. Circadian skin temperature rhythms, circadian activity rhythms and sleep in individuals with self-reported depressive symptoms. Journal of Psychiatric Research 2019;117:38 View
  15. Scherr S, Goering M. Is a Self-Monitoring App for Depression a Good Place for Additional Mental Health Information? Ecological Momentary Assessment of Mental Help Information Seeking among Smartphone Users. Health Communication 2020;35(8):1004 View
  16. Lewczuk K, Gorowska M, Li Y, Gola M. Mobile Internet Technologies, Ecological Momentary Assessment, and Intervention—Poison and Remedy for New Online Problematic Behaviors in ICD-11. Frontiers in Psychiatry 2020;11 View
  17. Yang Y, Ryu G, Delespaul P, Choi M. Psychometric Properties of the Korean Version of the PsyMate Scale Using a Smartphone App: Ecological Momentary Assessment Study. JMIR mHealth and uHealth 2020;8(7):e17926 View
  18. Berrouiguet S, Le Moal V, Guillodo É, Le Floch A, Lenca P, Billot R, Walter M. Prévention du suicide et santé connectée. médecine/sciences 2018;34(8-9):730 View
  19. Leonard N, Casarjian B, Fletcher R, Prata C, Sherpa D, Kelemen A, Rajan S, Salaam R, Cleland C, Gwadz M. Theoretically-Based Emotion Regulation Strategies Using a Mobile App and Wearable Sensor Among Homeless Adolescent Mothers: Acceptability and Feasibility Study. JMIR Pediatrics and Parenting 2018;1(1):e1 View
  20. Tazawa Y, Liang K, Yoshimura M, Kitazawa M, Kaise Y, Takamiya A, Kishi A, Horigome T, Mitsukura Y, Mimura M, Kishimoto T. Evaluating depression with multimodal wristband-type wearable device: screening and assessing patient severity utilizing machine-learning. Heliyon 2020;6(2):e03274 View
  21. Jungmann S, Klan T, Kuhn S, Jungmann F. Accuracy of a Chatbot (Ada) in the Diagnosis of Mental Disorders: Comparative Case Study With Lay and Expert Users. JMIR Formative Research 2019;3(4):e13863 View
  22. Kim J, Nguyen T, Gipson S, Shin A, Torous J. Smartphone Apps for Autism Spectrum Disorder—Understanding the Evidence. Journal of Technology in Behavioral Science 2018;3(1):1 View
  23. Berrouiguet S, Barrigón M, Castroman J, Courtet P, Artés-Rodríguez A, Baca-García E. Combining mobile-health (mHealth) and artificial intelligence (AI) methods to avoid suicide attempts: the Smartcrises study protocol. BMC Psychiatry 2019;19(1) View
  24. Baldofski S, Kohls E, Bauer S, Becker K, Bilic S, Eschenbeck H, Kaess M, Moessner M, Salize H, Diestelkamp S, Voß E, Rummel-Kluge C. Efficacy and cost-effectiveness of two online interventions for children and adolescents at risk for depression (E.motion trial): study protocol for a randomized controlled trial within the ProHEAD consortium. Trials 2019;20(1) View
  25. Bakker D, Rickard N. Engagement with a cognitive behavioural therapy mobile phone app predicts changes in mental health and wellbeing: MoodMission. Australian Psychologist 2019;54(4):245 View
  26. Fernández-Sotos P, Fernández-Caballero A, González P, Aparicio A, Martínez-Gras I, Torio I, Dompablo M, García-Fernández L, Santos J, Rodriguez-Jimenez R. Digital Technology for Internet Access by Patients With Early-Stage Schizophrenia in Spain: Multicenter Research Study. Journal of Medical Internet Research 2019;21(4):e11824 View
  27. Yin H, Wardenaar K, Wang Y, Wang N, Chen W, Zhang Y, Xu G, Schoevers R. Mobile Mental Health Apps in China: Systematic App Store Search. Journal of Medical Internet Research 2020;22(7):e14915 View
  28. Ernst J, Broemer L. Digital unterstützte Modelle in der Patientenbeobachtung. Forum 2018;33(3):190 View
  29. Rohani D, Faurholt-Jepsen M, Kessing L, Bardram J. Correlations Between Objective Behavioral Features Collected From Mobile and Wearable Devices and Depressive Mood Symptoms in Patients With Affective Disorders: Systematic Review. JMIR mHealth and uHealth 2018;6(8):e165 View
  30. Sequeira L, Battaglia M, Perrotta S, Merikangas K, Strauss J. Digital Phenotyping With Mobile and Wearable Devices: Advanced Symptom Measurement in Child and Adolescent Depression. Journal of the American Academy of Child & Adolescent Psychiatry 2019;58(9):841 View
  31. . Grant Report on SCH: Personalized Depression Treatment Supported by Mobile Sensor Analytics. Journal of Psychiatry and Brain Science 2020 View
  32. Jacobson N, Summers B, Wilhelm S. Digital Biomarkers of Social Anxiety Severity: Digital Phenotyping Using Passive Smartphone Sensors. Journal of Medical Internet Research 2020;22(5):e16875 View
  33. Spinazze P, Rykov Y, Bottle A, Car J. Digital phenotyping for assessment and prediction of mental health outcomes: a scoping review protocol. BMJ Open 2019;9(12):e032255 View
  34. Briffault X, Morgiève M, Courtet P. From e-Health to i-Health: Prospective Reflexions on the Use of Intelligent Systems in Mental Health Care. Brain Sciences 2018;8(6):98 View
  35. Gründahl M, Deckert J, Hein G. Three Questions to Consider Before Applying Ecological Momentary Interventions (EMI) in Psychiatry. Frontiers in Psychiatry 2020;11 View
  36. Bauer M, Glenn T, Geddes J, Gitlin M, Grof P, Kessing L, Monteith S, Faurholt-Jepsen M, Severus E, Whybrow P. Smartphones in mental health: a critical review of background issues, current status and future concerns. International Journal of Bipolar Disorders 2020;8(1) View
  37. Jawad I, Watson S, Haddad P, Talbot P, McAllister-Williams R. Medication nonadherence in bipolar disorder: a narrative review. Therapeutic Advances in Psychopharmacology 2018;8(12):349 View
  38. Sequeira L, Perrotta S, LaGrassa J, Merikangas K, Kreindler D, Kundur D, Courtney D, Szatmari P, Battaglia M, Strauss J. Mobile and wearable technology for monitoring depressive symptoms in children and adolescents: A scoping review. Journal of Affective Disorders 2020;265:314 View
  39. Torous J, Larsen M, Depp C, Cosco T, Barnett I, Nock M, Firth J. Smartphones, Sensors, and Machine Learning to Advance Real-Time Prediction and Interventions for Suicide Prevention: a Review of Current Progress and Next Steps. Current Psychiatry Reports 2018;20(7) View
  40. Hidalgo-Mazzei D, Llach C, Vieta E. mHealth in affective disorders. International Clinical Psychopharmacology 2020;35(2):61 View
  41. Dhainaut J, Huot L, Pomar V, Dubray C, Augé P, Barthélémy P, Belghiti J, Bureau S, Cassagnes J, Deblois S, Di Palma M, Dorsay G, Duchossoy L, Durand-Salmon F, Escudier T, Fiorini M, Franc S, Gelpi O, Laporte S, Lavallée E, Lethiec F, Meunier J, Peyret O, Samalin L, Vicaut E, de Saint-Exupéry E, Bouley A. Using connected objects in clinical research. Therapies 2018;73(1):53 View
  42. Bardram J, Matic A. A Decade of Ubiquitous Computing Research in Mental Health. IEEE Pervasive Computing 2020;19(1):62 View
  43. Trifan A, Oliveira M, Oliveira J. Passive Sensing of Health Outcomes Through Smartphones: Systematic Review of Current Solutions and Possible Limitations. JMIR mHealth and uHealth 2019;7(8):e12649 View
  44. Schmand B. Why are neuropsychologists so reluctant to embrace modern assessment techniques?. The Clinical Neuropsychologist 2019;33(2):209 View
  45. Hartmann R, Sander C, Lorenz N, Böttger D, Hegerl U. Utilization of Patient-Generated Data Collected Through Mobile Devices: Insights From a Survey on Attitudes Toward Mobile Self-Monitoring and Self-Management Apps for Depression. JMIR Mental Health 2019;6(4):e11671 View
  46. Antosik-Wójcinska A, Chojnacka M, Dominiak M, Święcicki Ł. The use of smartphones in the management of bipolar disorder- mobile apps and voice analysis in monitoring of mental state and phase change detection. European Neuropsychopharmacology 2019;29:S528 View
  47. Goltermann J, Emden D, Leehr E, Dohm K, Redlich R, Dannlowski U, Hahn T, Opel N. Smartphone-Based Self-Reports of Depressive Symptoms Using the Remote Monitoring Application in Psychiatry (ReMAP): Interformat Validation Study. JMIR Mental Health 2021;8(1):e24333 View
  48. Hilty D, Armstrong C, Edwards-Stewart A, Gentry M, Luxton D, Krupinski E. Sensor, Wearable, and Remote Patient Monitoring Competencies for Clinical Care and Training: Scoping Review. Journal of Technology in Behavioral Science 2021 View
  49. Patoz M, Hidalgo-Mazzei D, Blanc O, Verdolini N, Pacchiarotti I, Murru A, Zukerwar L, Vieta E, Llorca P, Samalin L. Patient and physician perspectives of a smartphone application for depression: a qualitative study. BMC Psychiatry 2021;21(1) View
  50. Miley E, Schaeffler F, Beck J, Eichner M, Jannetts S. Secure account-based data capture with smartphones – preliminary results from a study of articulatory precision in clinical depression. Linguistics Vanguard 2021;7(s1) View
  51. Rabin J, Davidson B, Giacobbe P, Hamani C, Cohn M, Illes J, Lipsman N. Neuromodulation for major depressive disorder: innovative measures to capture efficacy and outcomes. The Lancet Psychiatry 2020;7(12):1075 View
  52. Morton E, Torous J, Murray G, Michalak E. Using apps for bipolar disorder – An online survey of healthcare provider perspectives and practices. Journal of Psychiatric Research 2021;137:22 View
  53. Maatoug R, Peiffer-Smadja N, Delval G, Brochu T, Pitrat B, Millet B. Ecological Momentary Assessment Using Smartphones in Patients With Depression: Feasibility Study. JMIR Formative Research 2021;5(2):e14179 View
  54. Hilty D, Armstrong C, Luxton D, Gentry M, Krupinski E. A Scoping Review of Sensors, Wearables, and Remote Monitoring For Behavioral Health: Uses, Outcomes, Clinical Competencies, and Research Directions. Journal of Technology in Behavioral Science 2021 View
  55. Izumi K, Minato K, Shiga K, Sugio T, Hanashiro S, Cortright K, Kudo S, Fujita T, Sado M, Maeno T, Takebayashi T, Mimura M, Kishimoto T. Unobtrusive Sensing Technology for Quantifying Stress and Well-Being Using Pulse, Speech, Body Motion, and Electrodermal Data in a Workplace Setting: Study Concept and Design. Frontiers in Psychiatry 2021;12 View

Books/Policy Documents

  1. Hegerl U, Dogan E, Oehler C, Sander C, Stöber F. Gesundheit digital. View
  2. Rozgonjuk D, Elhai J, Hall B. Digital Phenotyping and Mobile Sensing. View
  3. Spedding M, Chibanda D. Global Mental Health and Psychotherapy. View
  4. Fernandez-Álvarez J, Díaz-García A, Colombo D, Botella C, Cipresso P, Riva G. Reference Module in Neuroscience and Biobehavioral Psychology. View