This paper is in the following e-collection/theme issue:

Mobile Health in Psychiatry (438) Formative Studies and eHealth/mHealth Development (527) mHealth for Symptom and Disease Monitoring, Chronic Disease Management (1428) mHealth for Wellness, Behavior Change and Prevention (2922) User-centred Design Case Studies (602) Depression and Mood Disorders; Suicide Prevention (1392) mHealth for Patient Education (240)

Published on in Vol 3, No 4 (2016): Oct-Dec

Development of a Mobile Phone App to Support Self-Monitoring of Emotional Well-Being: A Mental Health Digital Innovation

Development of a Mobile Phone App to Support Self-Monitoring of Emotional Well-Being: A Mental Health Digital Innovation

Development of a Mobile Phone App to Support Self-Monitoring of Emotional Well-Being: A Mental Health Digital Innovation

Authors of this article:

Nikki Rickard1, 2 Author Orcid Image ;   Hussain-Abdulah Arjmand1 Author Orcid Image ;   David Bakker1 Author Orcid Image ;   Elizabeth Seabrook1 Author Orcid Image
Article Authors Cited by (74) Tweetations (19) Metrics

Journals

  1. Luhmann M. Using Big Data to study subjective well-being. Current Opinion in Behavioral Sciences 2017;18:28 View
  2. Roggeveen S, van Os J, Bemelmans K, van Poll M, Lousberg R. Investigating Associations Between Changes in Mobile Phone Use and Emotions Using the Experience Sampling Method: Pilot Study. JMIR Formative Research 2018;2(1):e12 View
  3. Bardus M, Ali A, Demachkieh F, Hamadeh G. Assessing the Quality of Mobile Phone Apps for Weight Management: User-Centered Study With Employees From a Lebanese University. JMIR mHealth and uHealth 2019;7(1):e9836 View
  4. Rahman Q, Janmohamed T, Pirbaglou M, Clarke H, Ritvo P, Heffernan J, Katz J. Defining and Predicting Pain Volatility in Users of the Manage My Pain App: Analysis Using Data Mining and Machine Learning Methods. Journal of Medical Internet Research 2018;20(11):e12001 View
  5. Lee R, Jung M. Evaluation of an mHealth App (DeStressify) on University Students’ Mental Health: Pilot Trial. JMIR Mental Health 2018;5(1):e2 View
  6. Seabrook E, Kern M, Fulcher B, Rickard N. Predicting Depression From Language-Based Emotion Dynamics: Longitudinal Analysis of Facebook and Twitter Status Updates. Journal of Medical Internet Research 2018;20(5):e168 View
  7. 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
  8. Forrest R, Lander P, Wawatai-Aldrich N, Pearson M. Patu™ Meke Meter: Use in the Classroom. New Zealand Journal of Educational Studies 2019;54(2):327 View
  9. Muroff J, Robinson W. Tools of Engagement: Practical Considerations for Utilizing Technology-Based Tools in CBT Practice. Cognitive and Behavioral Practice 2022;29(1):81 View
  10. Sebold M, Spitta G, Gleich T, Dembler-Stamm T, Butler O, Zacharias K, Aydin S, Garbusow M, Rapp M, Schubert F, Buchert R, Gallinat J, Heinz A. Stressful life events are associated with striatal dopamine receptor availability in alcohol dependence. Journal of Neural Transmission 2019;126(9):1127 View
  11. Srinivas S, Anand K, Chockalingam A. Longitudinal association between adolescent negative emotions and adulthood cardiovascular disease risk: an opportunity for healthcare quality improvement. Benchmarking: An International Journal 2020;27(8):2323 View
  12. Bakker D, Kazantzis N, Rickwood D, Rickard N. Development and Pilot Evaluation of Smartphone-Delivered Cognitive Behavior Therapy Strategies for Mood- and Anxiety-Related Problems: MoodMission. Cognitive and Behavioral Practice 2018;25(4):496 View
  13. Attwood S, Penney T, O’Leary R, Klahn C, Kelly B. Measuring Wellbeing in a Healthcare Setting: a Qualitative Study of Staff and Service User Perspectives. Applied Research in Quality of Life 2020;15(1):127 View
  14. Hetrick S, Robinson J, Burge E, Blandon R, Mobilio B, Rice S, Simmons M, Alvarez-Jimenez M, Goodrich S, Davey C. Youth Codesign of a Mobile Phone App to Facilitate Self-Monitoring and Management of Mood Symptoms in Young People With Major Depression, Suicidal Ideation, and Self-Harm. JMIR Mental Health 2018;5(1):e9 View
  15. Highland K, Tran J, Edwards H, Bedocs P, Suen J, Buckenmaier C. Feasibility of App-Based Postsurgical Assessment of Pain, Pain Impact, and Regional Anesthesia Effects: A Pilot Randomized Controlled Trial. Pain Medicine 2019;20(8):1592 View
  16. 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
  17. Chung K, Jeon M, Park J, Lee S, Kim C, Park J, Guloksuz S. Development and evaluation of a mobile-optimized daily self-rating depression screening app: A preliminary study. PLOS ONE 2018;13(6):e0199118 View
  18. Bailon C, Damas M, Pomares H, Sanabria D, Perakakis P, Goicoechea C, Banos O. Smartphone-Based Platform for Affect Monitoring through Flexibly Managed Experience Sampling Methods. Sensors 2019;19(15):3430 View
  19. Edwards E, Caton H, Lumsden J, Rivas C, Steed L, Pirunsarn Y, Jumbe S, Newby C, Shenvi A, Mazumdar S, Smith J, Greenhill D, Griffiths C, Walton R. Creating a Theoretically Grounded, Gamified Health App: Lessons From Developing the Cigbreak Smoking Cessation Mobile Phone Game. JMIR Serious Games 2018;6(4):e10252 View
  20. Marshall J, Dunstan D, Bartik W. Effectiveness of Using Mental Health Mobile Apps as Digital Antidepressants for Reducing Anxiety and Depression: Protocol for a Multiple Baseline Across-Individuals Design. JMIR Research Protocols 2020;9(7):e17159 View
  21. Bakker D, Kazantzis N, Rickwood D, Rickard N. A randomized controlled trial of three smartphone apps for enhancing public mental health. Behaviour Research and Therapy 2018;109:75 View
  22. 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
  23. Rahman Q, Janmohamed T, Pirbaglou M, Ritvo P, Heffernan J, Clarke H, Katz J. Patterns of User Engagement With the Mobile App, Manage My Pain: Results of a Data Mining Investigation. JMIR mHealth and uHealth 2017;5(7):e96 View
  24. Forehand G, Schisler-Blizzard A, Deaver A, Strolin-Goltzman J, Breslend N, Sullivan A, Mendoza G, Bielawski-Branch A, Jorgenson J, Forehand R. Triangulating perspectives to inform the development of a smartphone application for foster, kinship, and adoptive parents. Journal of Technology in Human Services 2019;37(4):362 View
  25. Vloothuis J, de Bruin J, Mulder M, Nijland R, Kwakkel G, van Wegen E. Description of the CARE4STROKE programme: A caregiver‐mediated exercises intervention with e‐health support for stroke patients. Physiotherapy Research International 2018;23(3) View
  26. Borghouts J, Eikey E, Mark G, De Leon C, Schueller S, Schneider M, Stadnick N, Zheng K, Mukamel D, Sorkin D. Barriers to and Facilitators of User Engagement With Digital Mental Health Interventions: Systematic Review. Journal of Medical Internet Research 2021;23(3):e24387 View
  27. Renfrew M, Morton D, Morton J, Hinze J, Przybylko G, Craig B. The Influence of Three Modes of Human Support on Attrition and Adherence to a Web- and Mobile App–Based Mental Health Promotion Intervention in a Nonclinical Cohort: Randomized Comparative Study. Journal of Medical Internet Research 2020;22(9):e19945 View
  28. Santesteban Echarri O, Kim G, Haffey P, Tang J, Addington J. LooseLeaf, a Mobile-Based Application to Monitor Cannabis Use and Cannabis-Related Experiences for Youth at Clinical High-Risk for Psychosis: Development and User Acceptance Testing. International Journal of Human–Computer Interaction 2021;37(6):501 View
  29. Costello K, Floegel D. “Predictive ads are not doctors”: Mental health tracking and technology companies. Proceedings of the Association for Information Science and Technology 2020;57(1) View
  30. Tonti S, Marzolini B, Bulgheroni M. Smartphone-Based Passive Sensing for Behavioral and Physical Monitoring in Free-Life Conditions: Technical Usability Study. JMIR Biomedical Engineering 2021;6(2):e15417 View
  31. Arjmand H, Seabrook E, Bakker D, Rickard N. Mental Health Consequences of Adversity in Australia: National Bushfires Associated With Increased Depressive Symptoms, While COVID-19 Pandemic Associated With Increased Symptoms of Anxiety. Frontiers in Psychology 2021;12 View
  32. Li Y, Yan X, Wang Z, Zhang B, Jia Z. Clear the fog of negative emotions: A new challenge for intervention towards drug users. Journal of Affective Disorders 2021;294:305 View
  33. Bhattacharjee A, Haque S, Hady A, Alam S, Rabbi M, Kabir A, Ahmed S. Understanding The Social Determinants Of Mental Health Of The Undergraduate Students In Bangladesh: Interview Study (Preprint). JMIR Formative Research 2021 View
  34. Beames J, Kikas K, Werner-Seidler A. Prevention and early intervention of depression in young people: an integrated narrative review of affective awareness and Ecological Momentary Assessment. BMC Psychology 2021;9(1) View
  35. Kim S, Lee K. Screening for Depression in Mobile Devices Using Patient Health Questionnaire-9 (PHQ-9) Data: A Diagnostic Meta-Analysis via Machine Learning Methods. Neuropsychiatric Disease and Treatment 2021;Volume 17:3415 View
  36. Polhemus A, Simblett S, Dawe-Lane E, Gilpin G, Elliott B, Jilka S, Novak J, Nica R, Temesi G, Wykes T. Health Tracking via Mobile Apps for Depression Self-management: Qualitative Content Analysis of User Reviews. JMIR Human Factors 2022;9(4):e40133 View
  37. Alhasani M, Mulchandani D, Oyebode O, Baghaei N, Orji R. A Systematic and Comparative Review of Behavior Change Strategies in Stress Management Apps: Opportunities for Improvement. Frontiers in Public Health 2022;10 View
  38. Vial S, Boudhraâ S, Dumont M. Human-Centered Design Approaches in Digital Mental Health Interventions: Exploratory Mapping Review. JMIR Mental Health 2022;9(6):e35591 View
  39. Smits M, Kim C, van Goor H, Ludden G. From Digital Health to Digital Well-being: Systematic Scoping Review. Journal of Medical Internet Research 2022;24(4):e33787 View
  40. Bao H, Lee E. Examining the antecedents and health outcomes of health apps and wearables use: an integration of the technology acceptance model and communication inequality. Behaviour & Information Technology 2024;43(4):695 View
  41. Kang S, Kim S, Kang K. Effects of Child Sexual Abuse Prevention Education Program Using Hybrid Application (CSAPE-H) on Fifth-Grade Students in South Korea. The Journal of School Nursing 2022;38(4):368 View
  42. Fletcher K, Lindblom K, Seabrook E, Foley F, Murray G. Pilot Testing in the Wild: Feasibility, Acceptability, Usage Patterns, and Efficacy of an Integrated Web and Smartphone Platform for Bipolar II Disorder. JMIR Formative Research 2022;6(5):e32740 View
  43. Pons P, Navas-Medrano S, Soler-Dominguez J. Extended reality for mental health: Current trends and future challenges. Frontiers in Computer Science 2022;4 View
  44. Srinivas S, Anand K, Chockalingam A. Adolescent psychological well-being and adulthood cardiovascular disease risk: longitudinal association and implications for care quality management. Benchmarking: An International Journal 2022;29(10):3163 View
  45. Kruzan K, Whitlock J, Chapman J, Bhandari A, Bazarova N. Young Adults’ Perceptions of 2 Publicly Available Digital Resources for Self-injury: Qualitative Study of a Peer Support App and Web-Based Factsheets. JMIR Formative Research 2023;7:e41546 View
  46. Zhang X, Liu Y, Li X, Sun J. Health IT in our daily life: impact of mobile phone use on the emotions and compliance of diabetes patients. Information Technology & People 2023;36(7):2998 View
  47. Lee H, Ahn J, Lee J. Development and Validation of a Questionnaire on the Feasibility of a Mobile Dietary Self-Monitoring Application. Korean Journal of Community Nutrition 2022;27(2):146 View
  48. Brindal E, Kakoschke N, Golley S, Rebuli M, Baird D. Effectiveness and Feasibility of a Self-guided Mobile App Targeting Emotional Well-being in Healthy Adults: 4-Week Randomized Controlled Trial. JMIR Mental Health 2023;10:e44925 View
  49. Kadirvelu B, Bellido Bel T, Wu X, Burmester V, Ananth S, Cabral C C Branco B, Girela-Serrano B, Gledhill J, Di Simplicio M, Nicholls D, Faisal A. Mindcraft, a Mobile Mental Health Monitoring Platform for Children and Young People: Development and Acceptability Pilot Study. JMIR Formative Research 2023;7:e44877 View
  50. Kosasih F, Yee V, Toh S, Sündermann O, König L. Efficacy of Intellect’s self-guided anxiety and worry mobile health programme: A randomized controlled trial with an active control and a 2-week follow-up. PLOS Digital Health 2023;2(5):e0000095 View
  51. Freire-Palacios V, Jaramillo-Galarza K, Quito-Calle J, Orozco-Cantos L. Artificial Intelligence in Gamification to Promote Mental Health among University Students: A Scoping Review. Salud, Ciencia y Tecnología 2023;3:639 View
  52. Gobin-Rahimbux B, Gooda Sahib N, Peerthy N, Taylor A, Abdellah I. A Voice-Based Personal Assistant for Mental Health in Kreol Morisien. Journal of Electrical and Computer Engineering 2023;2023:1 View
  53. Simmons N, Goodings L, Tucker I. Experiences of Using Mental Health Apps to Support Psychological Health and Wellbeing. Journal of Applied Social Science 2024;18(1):32 View
  54. Darko A, Antwi C, Adjei K, Zhang B, Ren J. Predicting determinants influencing user satisfaction with mental health app: An explainable machine learning approach based on unstructured data. Expert Systems with Applications 2024;249:123647 View
  55. Zeulner T, Hagerer G, Müller M, Vazquez I, Gloor P. Predicting Individual Well-Being in Teamwork Contexts Based on Speech Features. Information 2024;15(4):217 View
  56. Kavitha K, Joshith V, Sharma S. Beyond text: ChatGPT as an emotional resilience support tool for Gen Z – A sequential explanatory design exploration. E-Learning and Digital Media 2024 View
  57. Hegerty S, Weresa M. Mapping research on digital innovation in the health sector: a bibliometric approach. Economics of Innovation and New Technology 2024:1 View
  58. Oh K, Ko J, ­Jin N, Han S, Yoon C, Shin J, Ko M. Understanding Morning Emotions by Analyzing Daily Wake-Up Alarm Usage: Longitudinal Observational Study. JMIR Human Factors 2024;11:e50835 View
  59. Owen D, Lynham A, Smart S, Pardiñas A, Camacho Collados J. AI for Analyzing Mental Health Disorders Among Social Media Users: Quarter-Century Narrative Review of Progress and Challenges. Journal of Medical Internet Research 2024;26:e59225 View
  60. El-Gayar O, Al-Ramahi M, Wahbeh A, Elnoshokaty A, Nasralah T. Mining User Reviews for Key Design Features in Cognitive Behavioral Therapy-Based Mobile Mental Health Apps. Telemedicine and e-Health 2024 View
  61. Alanzi T, Arif W, Aljohani N, Jabali A, Junainah M, Aldeen Mohamed E, Hamdi T, Mansour N, Badawood N, Alghamdi S, Alanazi D, Alanzi N, Alqurashi N. Exploring the Impact of Digital Health Tools in Enhancing Quality of Life and Psychological Adjustment in Long-term Blood Donors: A Cross-Sectional Study. Cureus 2024 View

Books/Policy Documents

  1. Poon A, Ow R. Mental Health and Social Work. View
  2. Poon A, Ow R. Mental Health and Social Work. View
  3. Cummins N, Matcham F, Klapper J, Schuller B. Artificial Intelligence in Precision Health. View
  4. Wang H, Li X. Emotions in Technology Design: From Experience to Ethics. View
  5. Abhari K, Klase M, Koobchehr F, Olivares F, Pesavento M, Sosa L, Vaghefi I. HCI in Business, Government and Organizations. View
  6. Das S, Lomax S, Rangel A. Artificial Intelligence in Healthcare and COVID-19. View
  7. Ayadi N, Paraschiv C. Fostering Consumer Well-Being. View