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Citing this Article

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Published on 07.04.17 in Vol 19, No 4 (2017): April

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

Works citing "The Reviews Are in: A Qualitative Content Analysis of Consumer Perspectives on Apps for Bipolar Disorder"

Jennifer Nicholas, Andrea S Fogarty, Katherine Boydell, Helen Christensen

J Med Internet Res 2017 (Apr 07); 19(4):e105 

According to Crossref, the following articles are citing this article (DOI 10.2196/jmir.7273):

(note that this is only a small subset of citations)

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  5. Holdener M, Gut A, Angerer A. Applicability of the User Engagement Scale to Mobile Health: A Survey-Based Quantitative Study. JMIR mHealth and uHealth 2020;8(1):e13244
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  6. Minen MT, Gumpel T, Ali S, Sow F, Toy K. What are Headache Smartphone Application (App) Users Actually Looking for in Apps: A Qualitative Analysis of App Reviews to Determine a Patient Centered Approach to Headache Smartphone Apps. Headache: The Journal of Head and Face Pain 2020;60(7):1392
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  8. Raspa M, Fitzgerald T, Furberg RD, Wylie A, Moultrie R, DeRamus M, Wheeler AC, McCormack L. Mobile technology use and skills among individuals with fragile X syndrome: implications for healthcare decision making. Journal of Intellectual Disability Research 2018;62(10):821
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  9. Aji M, Gordon C, Peters D, Bartlett D, Calvo RA, Naqshbandi K, Glozier N. Exploring User Needs and Preferences for Mobile Apps for Sleep Disturbance: Mixed Methods Study. JMIR Mental Health 2019;6(5):e13895
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  10. Garrido S, Cheers D, Boydell K, Nguyen QV, Schubert E, Dunne L, Meade T. Young People's Response to Six Smartphone Apps for Anxiety and Depression: Focus Group Study. JMIR Mental Health 2019;6(10):e14385
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  11. Nicholas J, Boydell K, Christensen H. Beyond symptom monitoring: Consumer needs for bipolar disorder self-management using smartphones. European Psychiatry 2017;44:210
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  12. O'Brien HL, Morton E, Kampen A, Barnes SJ, Michalak EE. Beyond clicks and downloads: a call for a more comprehensive approach to measuring mobile-health app engagement. BJPsych Open 2020;6(5)
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  14. Morton E, Hole R, Murray G, Buzwell S, Michalak E. Experiences of a Web-Based Quality of Life Self-Monitoring Tool for Individuals With Bipolar Disorder: A Qualitative Exploration. JMIR Mental Health 2019;6(12):e16121
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  15. Arnold C, Williams A, Thomas N. Engaging With a Web-Based Psychosocial Intervention for Psychosis: Qualitative Study of User Experiences. JMIR Mental Health 2020;7(6):e16730
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  16. Beldad A, Voutsas C. Understanding the Motivation to Write Reviews for Mobile Apps among German Users: Testing the Expanded Theory of Planned Behavior Using a Structural Equation Modeling Approach. Journal of Technology in Behavioral Science 2018;3(4):301
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  17. Magee JC, 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
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  20. Michalak EE, Morton E, Barnes SJ, Hole R, Murray G. Supporting Self-Management in Bipolar Disorder: Mixed-Methods Knowledge Translation Study. JMIR Mental Health 2019;6(4):e13493
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  21. Pinheiro M, Serra M, Pereira-Azevedo N. Predictors of the Number of Installs in Psychiatry Smartphone Apps: Systematic Search on App Stores and Content Analysis. JMIR Mental Health 2019;6(11):e15064
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  22. Dewa LH, Lavelle M, Pickles K, Kalorkoti C, Jaques J, Pappa S, Aylin P, Grundy Q. Young adults’ perceptions of using wearables, social media and other technologies to detect worsening mental health: A qualitative study. PLOS ONE 2019;14(9):e0222655
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  23. Widnall E, Grant CE, Wang T, Cross L, Velupillai S, Roberts A, Stewart R, Simonoff E, Downs J. User Perspectives of Mood-Monitoring Apps Available to Young People: Qualitative Content Analysis. JMIR mHealth and uHealth 2020;8(10):e18140
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  24. Park JYE, Li J, Howren A, Tsao NW, De Vera M. Mobile Phone Apps Targeting Medication Adherence: Quality Assessment and Content Analysis of User Reviews. JMIR mHealth and uHealth 2019;7(1):e11919
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  25. Lee Y, Cui Y, Tu M, Chen Y, Chang P. Mobile Health to Maintain Continuity of Patient-Centered Care for Chronic Kidney Disease: Content Analysis of Apps. JMIR mHealth and uHealth 2018;6(4):e10173
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  26. Morton E, Hou SH, Fogarty O, Murray G, Barnes S, Depp C, Michalak E. A Web-Based Adaptation of the Quality of Life in Bipolar Disorder Questionnaire: Psychometric Evaluation Study. JMIR Mental Health 2020;7(4):e17497
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  27. Minen MT, Jaran J, Boyers T, Corner S. Understanding What People With Migraine Consider to be Important Features of Migraine Tracking: An Analysis of the Utilization of Smartphone‐Based Migraine Tracking With a Free‐Text Feature. Headache: The Journal of Head and Face Pain 2020;60(7):1402
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  28. Alenazi HA, Jamal A, Batais MA. Identification of Type 2 Diabetes Management Mobile App Features and Engagement Strategies: Modified Delphi Approach. JMIR mHealth and uHealth 2020;8(9):e17083
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  29. Mehrotra S, Tripathi R. Recent developments in the use of smartphone interventions for mental health. Current Opinion in Psychiatry 2018;31(5):379
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  30. Larsen ME, Huckvale K, Nicholas J, Torous J, Birrell L, Li E, Reda B. Using science to sell apps: Evaluation of mental health app store quality claims. npj Digital Medicine 2019;2(1)
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  31. Păsărelu CR, Andersson G, Dobrean A. Attention-deficit/ hyperactivity disorder mobile apps: A systematic review. International Journal of Medical Informatics 2020;138:104133
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  32. Berry N, Lobban F, Bucci S. A qualitative exploration of service user views about using digital health interventions for self-management in severe mental health problems. BMC Psychiatry 2019;19(1)
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  33. Jonathan GK, Dopke CA, Michaels T, Martin CR, Adhikari K, Krakauer RL, Ryan C, McBride A, Babington P, Frauenhofer E, Silver J, Capra C, Simon M, Begale M, Mohr DC, Goulding EH. User-Centered Development of LiveWell: A Smartphone Based Self-Management Intervention for Bipolar Disorder (Preprint). JMIR Mental Health 2020;
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  34. Liu J, Xu K, Zhu G, Zhang Q, Li X. Effects of smartphone-based interventions and monitoring on bipolar disorder: A systematic review and meta-analysis. World Journal of Psychiatry 2020;10(11):272
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  35. Chan EC, Sun Y, Aitchison KJ, Sivapalan S. Mobile App–Based Self-Report Questionnaires for the Assessment and Monitoring of Bipolar Disorder: Systematic Review. JMIR Formative Research 2021;5(1):e13770
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  36. Gordon-Smith K, Saunders KE, Savage J, Craddock N, Jones I, Jones L. Have I argued with my family this week?”: What questions do those with lived experience choose to monitor their bipolar disorder?. Journal of Affective Disorders 2021;281:918
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  37. Lobo EH, Frølich A, Kensing F, Rasmussen LJ, Livingston PM, Grundy J, Abdelrazek M. mHealth applications to support caregiver needs and engagement during stroke recovery: A content review. Research in Nursing & Health 2021;44(1):213
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  38. Gessa A, Jiménez A, Sancha P. Open Innovation in Digital Healthcare: Users’ Discrimination between Certified and Non-Certified mHealth Applications. Journal of Open Innovation: Technology, Market, and Complexity 2020;6(4):130
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  39. 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)
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  40. Fellendorf FT, Hamm C, Dalkner N, Platzer M, Sattler MC, Bengesser SA, Lenger M, Pilz R, Birner A, Queissner R, Tmava-Berisha A, Ratzenhofer M, Maget A, van Poppel M, Reininghaus EZ. Monitoring Sleep Changes via a Smartphone App in Bipolar Disorder: Practical Issues and Validation of a Potential Diagnostic Tool. Frontiers in Psychiatry 2021;12
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  41. Borghouts J, Eikey E, Mark G, De Leon C, Schueller SM, Schneider M, Stadnick N, Zheng K, Mukamel D, Sorkin DH. Barriers to and Facilitators of User Engagement With Digital Mental Health Interventions: Systematic Review. Journal of Medical Internet Research 2021;23(3):e24387
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  42. Fletcher K, Murray G. Towards tailored psychosocial intervention for BD-II: Lived experience perspectives on current and future management options. Journal of Affective Disorders 2021;289:110
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  43. Al-Abbadey M, Fong MM, Wilde LJ, Ingham R, Ghio D. Mobile health apps: An exploration of user-generated reviews in Google Play Store on a physical activity application. DIGITAL HEALTH 2021;7:205520762110149
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  44. Mushquash AR, Pearson ES, Waddington K, MacIsaac A, Mohammed S, Grassia E, Smith S, Wekerle C. User Perspectives on a Resilience-Building App (JoyPop): Qualitative Study. JMIR mHealth and uHealth 2021;9(7):e28677
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  45. Patoz M, Hidalgo-Mazzei D, Pereira B, Blanc O, de Chazeron I, Murru A, Verdolini N, Pacchiarotti I, Vieta E, Llorca P, Samalin L. Patients’ adherence to smartphone apps in the management of bipolar disorder: a systematic review. International Journal of Bipolar Disorders 2021;9(1)
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  46. Gessa A, Sancha P, Jiménez A. Quality Assessment of Health-apps using a Public Agency Quality and Safety Seal. The Appsaludable Case. Journal of Medical Systems 2021;45(7)
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  47. Roth CB, Papassotiropoulos A, Brühl AB, Lang UE, Huber CG. Psychiatry in the Digital Age: A Blessing or a Curse?. International Journal of Environmental Research and Public Health 2021;18(16):8302
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  48. Majid S, Reeves S, Figueredo G, Brown S, Lang A, Moore M, Morriss R. The Extent of User Involvement in the Design of Self-tracking Technology for Bipolar Disorder: Literature Review. JMIR Mental Health 2021;8(12):e27991
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  49. Magwood O, Saad A, Ranger D, Volpini K, Rukikamirera F, Haridas R, Sayfi S, Alexander J, Tan Y, Petkovic J, Pottie K. PROTOCOL: Mobile apps to reduce depressive symptoms and alcohol use in youth: A systematic review and meta‐analysis. Campbell Systematic Reviews 2022;18(1)
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  50. Hadi Mogavi R, Zhang Y, Haq E, Wu Y, Hui P, Ma X. What Do Users Think of Promotional Gamification Schemes? A Qualitative Case Study in a Question Answering Website. Proceedings of the ACM on Human-Computer Interaction 2022;6(CSCW2):1
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  51. Akintolu M, Uleanya C, Letseka M. Examining key challenges in the programmes of adult community learning centres in KwaZulu-Natal. Journal of Adult and Continuing Education 2022;28(2):595
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  52. Michalak EE, Barnes SJ, Morton E, O'Brien HL, Murray G, Hole R, Meyer D. Supporting Self-management and Quality of Life in Bipolar Disorder With the PolarUs App (Alpha): Protocol for a Mixed Methods Study. JMIR Research Protocols 2022;11(8):e36213
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  53. . A Review of the Quality and Impact of Mobile Health Apps. Annual Review of Public Health 2022;43(1):117
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  54. Funnell EL, Spadaro B, Martin-Key N, Metcalfe T, Bahn S. mHealth Solutions for Mental Health Screening and Diagnosis: A Review of App User Perspectives Using Sentiment and Thematic Analysis. Frontiers in Psychiatry 2022;13
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  55. Alhur MS, Alshamari S, Oláh J, Aldreabi H. Unsupervised Machine Learning to Identify Positive and Negative Themes in Jordanian mHealth Apps. International Journal of E-Services and Mobile Applications 2022;14(1):1
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  56. Funnell EL, Spadaro B, Benacek J, Martin-Key NA, Metcalfe T, Olmert T, Barton-Owen G, Bahn S. Learnings from user feedback of a novel digital mental health assessment. Frontiers in Psychiatry 2022;13
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  57. Aljedaani B, Ahmad A, Zahedi M, Babar MA. End-users’ knowledge and perception about security of clinical mobile health apps: A case study with two Saudi Arabian mHealth providers. Journal of Systems and Software 2023;195:111519
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  58. Kettle L, Lee Y. User Experiences of Well-Being Chatbots. Human Factors: The Journal of the Human Factors and Ergonomics Society 2023;:001872082311624
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  59. Bendotti H, Lawler S, Ireland D, Gartner C, Hides L, Marshall HM. What Do People Want in a Smoking Cessation App? An Analysis of User Reviews and App Quality. Nicotine & Tobacco Research 2022;24(2):169
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  60. Kiskola J, Olsson T, Rantasila A, Syrjämäki AH, Ilves M, Isokoski P, Surakka V. User-centred quality of UI interventions aiming to influence online news commenting behaviour. Behaviour & Information Technology 2023;42(12):2060
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  61. Biviji R, Williams KS, Vest JR, Dixon BE, Cullen T, Harle CA. Consumer Perspectives on Maternal and Infant Health Apps: Qualitative Content Analysis. Journal of Medical Internet Research 2021;23(9):e27403
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  62. Ko S, Lee J, An D, Woo H. Menstrual Tracking Mobile App Review by Consumers and Health Care Providers: Quality Evaluations Study. JMIR mHealth and uHealth 2023;11:e40921
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  63. 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
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  64. Ryan KA, Smith SN, Yocum AK, Carley I, Liebrecht C, Navis B, Vest E, Bertram H, McInnis MG, Kilbourne AM. The Life Goals Self-Management Mobile App for Bipolar Disorder: Consumer Feasibility, Usability, and Acceptability Study. JMIR Formative Research 2021;5(12):e32450
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  65. Geerling B, Kelders SM, Stevens AWMM, Kupka RW, Bohlmeijer ET. Why patients diagnosed with bipolar disorder start, continue or discontinue health‐related apps supporting their self‐management. Journal of Psychiatric and Mental Health Nursing 2023;30(3):537
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  66. Alghareeb M, Albesher AS, Asif A. Studying Users’ Perceptions of COVID-19 Mobile Applications in Saudi Arabia. Sustainability 2023;15(2):956
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  67. Malik T, Ambrose AJ, Sinha C. Evaluating User Feedback for an Artificial Intelligence–Enabled, Cognitive Behavioral Therapy–Based Mental Health App (Wysa): Qualitative Thematic Analysis. JMIR Human Factors 2022;9(2):e35668
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  68. Morton E, Nicholas J, Yang L, Lapadat L, Barnes SJ, Provencher MD, Depp C, Chan M, Kulur R, Michalak EE. Evaluating the quality, safety, and functionality of commonly used smartphone apps for bipolar disorder mood and sleep self-management. International Journal of Bipolar Disorders 2022;10(1)
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  69. Polhemus A, Simblett S, Dawe-Lane E, Gilpin G, Elliott B, Jilka S, Novak J, Nica RI, 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
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  70. Ortiz A, Maslej MM, Husain MI, Daskalakis ZJ, Mulsant BH. Apps and gaps in bipolar disorder: A systematic review on electronic monitoring for episode prediction. Journal of Affective Disorders 2021;295:1190
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  71. Alves-Oliveira P, Budhiraja T, So S, Karim R, Björling E, Cakmak M. Robot-mediated interventions for youth mental health. Design for Health 2022;6(2):138
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  72. Polhemus A, Simblett S, Dawe Lane E, Elliott B, Jilka S, Negbenose E, Burke P, Weyer J, Novak J, Dockendorf MF, Temesi G, Wykes T. Experiences of health tracking in mobile apps for multiple sclerosis: A qualitative content analysis of user reviews. Multiple Sclerosis and Related Disorders 2023;69:104435
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  73. Karlsen IL, Svendsen PA, Abildgaard JS. A review of smartphone applications designed to improve occupational health, safety, and well-being at workplaces. BMC Public Health 2022;22(1)
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  74. Steubl LS, Reimann J, Simon L, Terhorst Y, Stach M, Baumeister H, Sander LB, Messner E. A systematic quality rating of available mobile health apps for borderline personality disorder. Borderline Personality Disorder and Emotion Dysregulation 2022;9(1)
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  75. Gordon-Smith K, Saunders KE, Morton T, Savage J, South M, Geddes J, Craddock N, Jones I, Jones L. User perspectives on long-term remote active electronic self-monitoring of mood symptoms in bipolar spectrum disorders. Journal of Affective Disorders 2023;324:325
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  76. Balaskas A, Schueller SM, Cox AL, Doherty G. Understanding users’ perspectives on mobile apps for anxiety management. Frontiers in Digital Health 2022;4
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  77. Haque MR, Rubya S. "For an App Supposed to Make Its Users Feel Better, It Sure is a Joke" - An Analysis of User Reviews of Mobile Mental Health Applications. Proceedings of the ACM on Human-Computer Interaction 2022;6(CSCW2):1
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  82. Heydarian S, Shakiba A, Rostam Niakan Kalhori S. The Minimum Feature Set for Designing Mobile Apps to Support Bipolar Disorder-Affected Patients: Proposal of Essential Functions and Requirements. Journal of Healthcare Informatics Research 2023;7(2):254
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