Published on in Vol 19, No 4 (2017): April

Usability, Acceptability, and Adherence to an Electronic Self-Monitoring System in Patients With Major Depression Discharged From Inpatient Wards

Usability, Acceptability, and Adherence to an Electronic Self-Monitoring System in Patients With Major Depression Discharged From Inpatient Wards

Usability, Acceptability, and Adherence to an Electronic Self-Monitoring System in Patients With Major Depression Discharged From Inpatient Wards

Journals

  1. Bakker D, Rickard N. Engagement in mobile phone app for self-monitoring of emotional wellbeing predicts changes in mental health: MoodPrism. Journal of Affective Disorders 2018;227:432 View
  2. Søgaard Neilsen A, Wilson R. Combining e‐mental health intervention development with human computer interaction (HCI) design to enhance technology‐facilitated recovery for people with depression and/or anxiety conditions: An integrative literature review. International Journal of Mental Health Nursing 2019;28(1):22 View
  3. Tuerk P, Schaeffer C, McGuire J, Adams Larsen M, Capobianco N, Piacentini J. Adapting Evidence-Based Treatments for Digital Technologies: a Critical Review of Functions, Tools, and the Use of Branded Solutions. Current Psychiatry Reports 2019;21(10) View
  4. Nielsen A, Kidholm K, Kayser L. Patients’ reasons for non-use of digital patient-reported outcome concepts: A scoping review. Health Informatics Journal 2020;26(4):2811 View
  5. Gbyl K, Østergaard Madsen H, Dunker Svendsen S, Petersen P, Hageman I, Volf C, Martiny K. Depressed Patients Hospitalized in Southeast-Facing Rooms Are Discharged Earlier than Patients in Northwest-Facing Rooms. Neuropsychobiology 2016;74(4):193 View
  6. Volf C, Aggestrup A, Svendsen S, Hansen T, Petersen P, Dam-Hansen C, Knorr U, Petersen E, Engstrøm J, Hageman I, Jakobsen J, Martiny K. Dynamic LED light versus static LED light for depressed inpatients: results from a randomized feasibility trial. Pilot and Feasibility Studies 2020;6(1) View
  7. Volf C, Aggestrup A, Petersen P, Dam-Hansen C, Knorr U, Petersen E, Engstrøm J, Jakobsen J, Hansen T, Madsen H, Hageman I, Martiny K. Dynamic LED-light versus static LED-light for depressed inpatients: study protocol for a randomised clinical study. BMJ Open 2020;10(1):e032233 View
  8. Konjarski M, Murray G, Lee V, Jackson M. Reciprocal relationships between daily sleep and mood: A systematic review of naturalistic prospective studies. Sleep Medicine Reviews 2018;42:47 View
  9. Dunker Svendsen S, Aggestrup A, Nørregaard L, Løventoft P, Præstegaard A, Danilenko K, Frost M, Knorr U, Hageman I, Vedel Kessing L, Martiny K. Circadian reinforcement therapy in combination with electronic self-monitoring to facilitate a safe post-discharge period of patients with depression by stabilizing sleep: protocol of a randomized controlled trial. BMC Psychiatry 2019;19(1) View
  10. van der Watt A, Odendaal W, Louw K, Seedat S. Distant mood monitoring for depressive and bipolar disorders: a systematic review. BMC Psychiatry 2020;20(1) View
  11. Steinkamp J, Goldblatt N, Borodovsky J, LaVertu A, Kronish I, Marsch L, Schuman-Olivier Z. Technological Interventions for Medication Adherence in Adult Mental Health and Substance Use Disorders: A Systematic Review. JMIR Mental Health 2019;6(3):e12493 View
  12. Bonnín C, Yatham L, Michalak E, Martínez-Arán A, Dhanoa T, Torres I, Santos-Pascual C, Valls E, Carvalho A, Sánchez-Moreno J, Valentí M, Grande I, Hidalgo-Mazzei D, Vieta E, Reinares M. Psychometric properties of the well-being index (WHO-5) spanish version in a sample of euthymic patients with bipolar disorder. Journal of Affective Disorders 2018;228:153 View
  13. Evensen K, Jørgensen M, Sabers A, Martiny K. Transcutaneous Vagal Nerve Stimulation in Treatment-Resistant Depression: A Feasibility Study. Neuromodulation: Technology at the Neural Interface 2022;25(3):443 View
  14. Messman B, Slavish D, Dietch J, Jenkins B, ten Brink M, Taylor D. Associations between daily affect and sleep vary by sleep assessment type: What can ambulatory EEG add to the picture?. Sleep Health 2021;7(2):219 View
  15. 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
  16. Tønning M, Faurholt-Jepsen M, Frost M, Martiny K, Tuxen N, Rosenberg N, Busk J, Winther O, Melbye S, Thaysen-Petersen D, Aamund K, Tolderlund L, Bardram J, Kessing L. The effect of smartphone-based monitoring and treatment on the rate and duration of psychiatric readmission in patients with unipolar depressive disorder: The RADMIS randomized controlled trial. Journal of Affective Disorders 2021;282:354 View
  17. Tokgöz P, Hrynyschyn R, Hafner J, Schönfeld S, Dockweiler C. Digital Health Interventions in Prevention, Relapse, and Therapy of Mild and Moderate Depression: Scoping Review. JMIR Mental Health 2021;8(4):e26268 View
  18. Lin Y, Lou M. Systematic review: Effect of mobile applications on college students with depressive symptoms. Journal of Advanced Nursing 2023;79(9):3214 View
  19. Aggestrup A, Svendsen S, Præstegaard A, Løventoft P, Nørregaard L, Knorr U, Dam H, Frøkjær E, Danilenko K, Hageman I, Faurholt-Jepsen M, Kessing L, Martiny K. Circadian Reinforcement Therapy in Combination With Electronic Self-Monitoring to Facilitate a Safe Postdischarge Period for Patients With Major Depression: Randomized Controlled Trial. JMIR Mental Health 2023;10:e50072 View
  20. Hamlin M, Holmén J, Wentz E, Aiff H, Ali L, Steingrimsson S. Patient Experience of Digitalized Follow-up of Antidepressant Treatment in Psychiatric Outpatient Care: Qualitative Analysis. JMIR Mental Health 2023;10:e48843 View