Published on in Vol 7, No 1 (2019): January

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/11325, first published .
Barriers to and Facilitators of Engagement With mHealth Technology for Remote Measurement and Management of Depression: Qualitative Analysis

Barriers to and Facilitators of Engagement With mHealth Technology for Remote Measurement and Management of Depression: Qualitative Analysis

Barriers to and Facilitators of Engagement With mHealth Technology for Remote Measurement and Management of Depression: Qualitative Analysis

Journals

  1. 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 View
  2. van der Meer H, de Pijper L, van Bruxvoort T, Visscher C, Nijhuis-van der Sanden M, Engelbert R, Speksnijder C. Using e-Health in the physical therapeutic care process for patients with temporomandibular disorders: a qualitative study on the perspective of physical therapists and patients. Disability and Rehabilitation 2022;44(4):617 View
  3. Girolamo G, Barattieri di San Pietro C, Bulgari V, Dagani J, Ferrari C, Hotopf M, Iannone G, Macis A, Matcham F, Myin‐Germeys I, Rintala A, Simblett S, Wykes T, Zarbo C. The acceptability of real‐time health monitoring among community participants with depression: A systematic review and meta‐analysis of the literature. Depression and Anxiety 2020;37(9):885 View
  4. Fulford H, McSwiggan L, Kroll T, MacGillivray S. Exploring the use of mobile information and communication technologies by people with mood disorders. International Journal of Mental Health Nursing 2019;28(6):1268 View
  5. Rubeis G. E-mental health applications for depression: an evidence-based ethical analysis. European Archives of Psychiatry and Clinical Neuroscience 2021;271(3):549 View
  6. Difrancesco S, Lamers F, Riese H, Merikangas K, Beekman A, Hemert A, Schoevers R, Penninx B. Sleep, circadian rhythm, and physical activity patterns in depressive and anxiety disorders: A 2‐week ambulatory assessment study. Depression and Anxiety 2019;36(10):975 View
  7. Polhemus A, Novák J, Ferrao J, Simblett S, Radaelli M, Locatelli P, Matcham F, Kerz M, Weyer J, Burke P, Huang V, Dockendorf M, Temesi G, Wykes T, Comi G, Myin-Germeys I, Folarin A, Dobson R, Manyakov N, Narayan V, Hotopf M. Human-Centered Design Strategies for Device Selection in mHealth Programs: Development of a Novel Framework and Case Study. JMIR mHealth and uHealth 2020;8(5):e16043 View
  8. Wykes T, Lipshitz J, Schueller S. Towards the Design of Ethical Standards Related to Digital Mental Health and all Its Applications. Current Treatment Options in Psychiatry 2019;6(3):232 View
  9. 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
  10. Simblett S, Matcham F, Curtis H, Greer B, Polhemus A, Novák J, Ferrao J, Gamble P, Hotopf M, Narayan V, Wykes T. Patients’ Measurement Priorities for Remote Measurement Technologies to Aid Chronic Health Conditions: Qualitative Analysis. JMIR mHealth and uHealth 2020;8(6):e15086 View
  11. Miralles I, Granell C, Díaz-Sanahuja L, Van Woensel W, Bretón-López J, Mira A, Castilla D, Casteleyn S. Smartphone Apps for the Treatment of Mental Disorders: Systematic Review. JMIR mHealth and uHealth 2020;8(4):e14897 View
  12. Li P, Luo Y, Yu X, Wen J, Mason E, Li W, Jalali M. Patients’ Perceptions of Barriers and Facilitators to the Adoption of E-Hospitals: Cross-Sectional Study in Western China. Journal of Medical Internet Research 2020;22(6):e17221 View
  13. H. Birk R, Samuel G. Can digital data diagnose mental health problems? A sociological exploration of ‘digital phenotyping’. Sociology of Health & Illness 2020;42(8):1873 View
  14. Craven M, Andrews J, Lang A, Simblett S, Bruce S, Thorpe S, Wykes T, Morriss R, Hollis C. Informing the Development of a Digital Health Platform Through Universal Points of Care: Qualitative Survey Study. JMIR Formative Research 2020;4(11):e22756 View
  15. Owens A. The Role of Heart Rate Variability in the Future of Remote Digital Biomarkers. Frontiers in Neuroscience 2020;14 View
  16. De Girolamo G, Candini V, Iozzino L, Zarbo C. Ricerca in salute mentale: un decennio di progetti all'IRCSS Fatebenefratelli. RIVISTA SPERIMENTALE DI FRENIATRIA 2020;(2):83 View
  17. Lenferink L, de Keijser J, Eisma M, Smid G, Boelen P. Treatment gap in bereavement care: (Online) bereavement support needs and use after traumatic loss. Clinical Psychology & Psychotherapy 2021;28(4):907 View
  18. 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
  19. Scott W, Badenoch J, Garcia Calderon Mendoza del Solar M, Brown D, Kemp H, McCracken L, C de C Williams A, Rice A. Acceptability of psychologically-based pain management and online delivery for people living with HIV and chronic neuropathic pain: a qualitative study. Scandinavian Journal of Pain 2021;21(2):296 View
  20. Zimmermann B, Fiske A, Prainsack B, Hangel N, McLennan S, Buyx A. Early Perceptions of COVID-19 Contact Tracing Apps in German-Speaking Countries: Comparative Mixed Methods Study. Journal of Medical Internet Research 2021;23(2):e25525 View
  21. McLoughlin L, Carey C, Dooley S, Kennedy H, McLoughlin I. An observational study of a cross platform risk assessment mobile application in a forensic inpatient setting. Journal of Psychiatric Research 2021;138:388 View
  22. Yang Q, Mitchell E, Ho A, DeLuca L, Behr H, Michaelides A. Cross-National Outcomes of a Digital Weight Loss Intervention in the United States, Canada, United Kingdom and Ireland, and Australia and New Zealand: A Retrospective Analysis. Frontiers in Public Health 2021;9 View
  23. Li P, Chen B, Deveaux G, Luo Y, Tao W, Li W, Wen J, Zheng Y. Cross-Verification of COVID-19 Information Obtained From Unofficial Social Media Accounts and Associated Changes in Health Behaviors: Web-Based Questionnaire Study Among Chinese Netizens. JMIR Public Health and Surveillance 2022;8(5):e33577 View
  24. White K, Dawe-Lane E, Siddi S, Lamers F, Simblett S, Riquelme Alacid G, Ivan A, Myin-Germeys I, Haro J, Oetzmann C, Popat P, Rintala A, Rubio-Abadal E, Wykes T, Henderson C, Hotopf M, Matcham F. Understanding the Subjective Experience of Long-term Remote Measurement Technology Use for Symptom Tracking in People With Depression: Multisite Longitudinal Qualitative Analysis. JMIR Human Factors 2023;10:e39479 View
  25. Siddi S, Giné-Vázquez I, Bailon R, Matcham F, Lamers F, Kontaxis S, Laporta E, Garcia E, Arranz B, Dalla Costa G, Guerrero A, Zabalza A, Buron M, Comi G, Leocani L, Annas P, Hotopf M, Penninx B, Magyari M, Sørensen P, Montalban X, Lavelle G, Ivan A, Oetzmann C, White K, Difrancesco S, Locatelli P, Mohr D, Aguiló J, Narayan V, Folarin A, Dobson R, Dineley J, Leightley D, Cummins N, Vairavan S, Ranjan Y, Rashid Z, Rintala A, Girolamo G, Preti A, Simblett S, Wykes T, Myin-Germeys I, Haro J. Biopsychosocial Response to the COVID-19 Lockdown in People with Major Depressive Disorder and Multiple Sclerosis. Journal of Clinical Medicine 2022;11(23):7163 View
  26. Amiss E, Cottrell M. Evaluation of a Novel Step Training Mobile App Intervention in Cardiopulmonary Rehabilitation: A Single-Arm Prospective Cohort Study. Games for Health Journal 2022;11(5):330 View
  27. Adanijo A, McWilliams C, Wykes T, Jilka S. Investigating Mental Health Service User Opinions on Clinical Data Sharing: Qualitative Focus Group Study. JMIR Mental Health 2021;8(9):e30596 View
  28. Chard I, Van Zalk N, Picinali L. Virtual reality exposure therapy for reducing social anxiety in stuttering: A randomized controlled pilot trial. Frontiers in Digital Health 2023;5 View
  29. de Angel V, Adeleye F, Zhang Y, Cummins N, Munir S, Lewis S, Laporta Puyal E, Matcham F, Sun S, Folarin A, Ranjan Y, Conde P, Rashid Z, Dobson R, Hotopf M. The Feasibility of Implementing Remote Measurement Technologies in Psychological Treatment for Depression: Mixed Methods Study on Engagement. JMIR Mental Health 2023;10:e42866 View
  30. Gochhait S, Butt S, De-La-Hoz-Franco E, Shaheen Q, Luis D, Piñeres-Espitia G, Mercado-Polo D. A Machine Learning Solution for Bed Occupancy Issue for Smart Healthcare Sector. Automatic Control and Computer Sciences 2021;55(6):546 View
  31. Bremer W, Sarker A. Recruitment and retention in mobile application-based intervention studies: a critical synopsis of challenges and opportunities. Informatics for Health and Social Care 2023;48(2):139 View
  32. Andrews J, Craven M, Lang A, Guo B, Morriss R, Hollis C. The impact of data from remote measurement technology on the clinical practice of healthcare professionals in depression, epilepsy and multiple sclerosis: survey. BMC Medical Informatics and Decision Making 2021;21(1) View
  33. Oetzmann C, White K, Ivan A, Julie J, Leightley D, Lavelle G, Lamers F, Siddi S, Annas P, Garcia S, Haro J, Mohr D, Penninx B, Simblett S, Wykes T, Narayan V, Hotopf M, Matcham F. Lessons learned from recruiting into a longitudinal remote measurement study in major depressive disorder. npj Digital Medicine 2022;5(1) View
  34. Bostrøm K, Varsi C, Eide H, Børøsund E, Kristjansdottir Ó, Schreurs K, Waxenberg L, Weiss K, Morrison E, Nordang E, Stubhaug A, Nes L. Engaging with EPIO, a digital pain self-management program: a qualitative study. BMC Health Services Research 2022;22(1) View
  35. Toyama M, Cavero V, Araya R, Menezes P, Mohr D, Miranda J, Diez-Canseco F. Participants’ and Nurses’ Experiences With a Digital Intervention for Patients With Depressive Symptoms and Comorbid Hypertension or Diabetes in Peru: Qualitative Post–Randomized Controlled Trial Study. JMIR Human Factors 2022;9(3):e35486 View
  36. White K, Williamson C, Bergou N, Oetzmann C, de Angel V, Matcham F, Henderson C, Hotopf M. A systematic review of engagement reporting in remote measurement studies for health symptom tracking. npj Digital Medicine 2022;5(1) View
  37. Birk R, Samuel G. Digital Phenotyping for Mental Health: Reviewing the Challenges of Using Data to Monitor and Predict Mental Health Problems. Current Psychiatry Reports 2022;24(10):523 View
  38. de Angel V, Lewis S, White K, Matcham F, Hotopf M. Clinical Targets and Attitudes Toward Implementing Digital Health Tools for Remote Measurement in Treatment for Depression: Focus Groups With Patients and Clinicians. JMIR Mental Health 2022;9(8):e38934 View
  39. Wykes T, Guha M. Modern media and mental health: help or hindrance?. Journal of Mental Health 2022;31(6):735 View
  40. Andrews J, Craven M, Lang A, Guo B, Morriss R, Hollis C. Making remote measurement technology work in multiple sclerosis, epilepsy and depression: survey of healthcare professionals. BMC Medical Informatics and Decision Making 2022;22(1) View
  41. Myin-Germeys I, de Thurah L, Weermeijer J, Bonnier R, van Aubel E, Kiekens G. Digitale technologie in de geestelijke gezondheidszorg: een narratieve review en visietekst op weg naar gepersonaliseerde zorg. Tijdschrift voor Geneeskunde 2022 View
  42. Kvedarienė V, Biliute G, Didziokaitė G, Kavaliukaite L, Savonyte A, Rudzikaite‐Fergize G, Puronaite R, Norkuniene J, Emuzyte R, Dubakiene R, Valiulis A, Sousa‐Pinto B, Bedbrook A, Bousquet J. Mobile health app for monitoring allergic rhinitis and asthma in real life in Lithuanian MASK‐air users. Clinical and Translational Allergy 2022;12(9) View
  43. Jacob C, Sezgin E, Sanchez-Vazquez A, Ivory C. Sociotechnical Factors Affecting Patients’ Adoption of Mobile Health Tools: Systematic Literature Review and Narrative Synthesis. JMIR mHealth and uHealth 2022;10(5):e36284 View
  44. White K, Matcham F, Leightley D, Carr E, Conde P, Dawe-Lane E, Ranjan Y, Simblett S, Henderson C, Hotopf M. Exploring the Effects of In-App Components on Engagement With a Symptom-Tracking Platform Among Participants With Major Depressive Disorder (RADAR-Engage): Protocol for a 2-Armed Randomized Controlled Trial. JMIR Research Protocols 2021;10(12):e32653 View
  45. Zhang Y, Pratap A, Folarin A, Sun S, Cummins N, Matcham F, Vairavan S, Dineley J, Ranjan Y, Rashid Z, Conde P, Stewart C, White K, Oetzmann C, Ivan A, Lamers F, Siddi S, Rambla C, Simblett S, Nica R, Mohr D, Myin-Germeys I, Wykes T, Haro J, Penninx B, Annas P, Narayan V, Hotopf M, Dobson R. Long-term participant retention and engagement patterns in an app and wearable-based multinational remote digital depression study. npj Digital Medicine 2023;6(1) View
  46. 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
  47. Denyer H, Ramos-Quiroga J, Folarin A, Ramos C, Nemeth P, Bilbow A, Woodward E, Whitwell S, Müller-Sedgwick U, Larsson H, Dobson R, Kuntsi J. ADHD Remote Technology study of cardiometabolic risk factors and medication adherence (ART-CARMA): a multi-centre prospective cohort study protocol. BMC Psychiatry 2022;22(1) View
  48. Cho Y, Lim K, Lee S, Kim Y, Kim M, Kim C, Kim Y, Kim H. Developing a Multimodal Monitoring System for Geriatric Depression. CIN: Computers, Informatics, Nursing 2023;41(1):46 View
  49. Matcham F, Leightley D, Siddi S, Lamers F, White K, Annas P, de Girolamo G, Difrancesco S, Haro J, Horsfall M, Ivan A, Lavelle G, Li Q, Lombardini F, Mohr D, Narayan V, Oetzmann C, Penninx B, Bruce S, Nica R, Simblett S, Wykes T, Brasen J, Myin-Germeys I, Rintala A, Conde P, Dobson R, Folarin A, Stewart C, Ranjan Y, Rashid Z, Cummins N, Manyakov N, Vairavan S, Hotopf M. Remote Assessment of Disease and Relapse in Major Depressive Disorder (RADAR-MDD): recruitment, retention, and data availability in a longitudinal remote measurement study. BMC Psychiatry 2022;22(1) View
  50. Matcham F, Carr E, White K, Leightley D, Lamers F, Siddi S, Annas P, de Girolamo G, Haro J, Horsfall M, Ivan A, Lavelle G, Li Q, Lombardini F, Mohr D, Narayan V, Penninx B, Oetzmann C, Coromina M, Simblett S, Weyer J, Wykes T, Zorbas S, Brasen J, Myin-Germeys I, Conde P, Dobson R, Folarin A, Ranjan Y, Rashid Z, Cummins N, Dineley J, Vairavan S, Hotopf M. Predictors of engagement with remote sensing technologies for symptom measurement in Major Depressive Disorder. Journal of Affective Disorders 2022;310:106 View
  51. Coghlan S, D’Alfonso S. Digital Phenotyping: an Epistemic and Methodological Analysis. Philosophy & Technology 2021;34(4):1905 View
  52. Tas B, Lawn W, Traykova E, Evans R, Murvai B, Walker H, Strang J. A scoping review of mHealth technologies for opioid overdose prevention, detection and response. Drug and Alcohol Review 2023;42(4):748 View
  53. Simblett S, Pennington M, Quaife M, Siddi S, Lombardini F, Haro J, Peñarrubia-Maria M, Bruce S, Nica R, Zorbas S, Polhemus A, Novak J, Dawe-Lane E, Morris D, Mutepua M, Odoi C, Wilson E, Matcham F, White K, Hotopf M, Wykes T. Patient preferences for key drivers and facilitators of adoption of mHealth technology to manage depression: A discrete choice experiment. Journal of Affective Disorders 2023;331:334 View
  54. Vietzke J, Schenk L, Baer N. Middle-aged and older adults’ acceptance of mobile nutrition and fitness tools: A qualitative typology. DIGITAL HEALTH 2023;9:205520762311637 View
  55. Andrews J, Craven M, Guo B, Weyer J, Lees S, Zormpas S, Thorpe S, Devonshire J, San Antonio-Arce V, Whitehouse W, Julie J, Malins S, Hammers A, Reif A, Ruhe H, Durbano F, Barlati S, Sen A, Frederiksen J, Martinelli A, Callen A, Torras-Borrell J, Berrocal-Izquierdo N, Zabalza A, Morriss R, Hollis C. Clinical Perspectives on Using Remote Measurement Technology in Assessing Epilepsy, Multiple Sclerosis, and Depression: Delphi Study. JMIR Neurotechnology 2023;2:e41439 View
  56. Siddi S, Bailon R, Giné-Vázquez I, Matcham F, Lamers F, Kontaxis S, Laporta E, Garcia E, Lombardini F, Annas P, Hotopf M, Penninx B, Ivan A, White K, Difrancesco S, Locatelli P, Aguiló J, Peñarrubia-Maria M, Narayan V, Folarin A, Leightley D, Cummins N, Vairavan S, Ranjan Y, Rintala A, de Girolamo G, Simblett S, Wykes T, Myin-Germeys I, Dobson R, Haro J. The usability of daytime and night-time heart rate dynamics as digital biomarkers of depression severity. Psychological Medicine 2023;53(8):3249 View
  57. 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
  58. Tas B, Walker H, Lawn W, Matcham F, Traykova E, Evans R, Strang J. What impacts the acceptability of wearable devices that detect opioid overdose in people who use opioids? A qualitative study. Drug and Alcohol Review 2024;43(1):213 View
  59. White K, Carr E, Leightley D, Matcham F, Conde P, Ranjan Y, Simblett S, Dawe-Lane E, Williams L, Henderson C, Hotopf M. Engagement With a Remote Symptom-Tracking Platform Among Participants With Major Depressive Disorder: Randomized Controlled Trial. JMIR mHealth and uHealth 2024;12:e44214 View
  60. Ganapathy A, Casey L, Rowland D, Grady A, Veale Sotheren K, Clough B. Methodological approaches in investigating barriers to digital mental health interventions use: a scoping review. Advances in Mental Health 2023:1 View
  61. Oudin A, Maatoug R, Bourla A, Ferreri F, Bonnot O, Millet B, Schoeller F, Mouchabac S, Adrien V. Digital Phenotyping: Data-Driven Psychiatry to Redefine Mental Health. Journal of Medical Internet Research 2023;25:e44502 View
  62. El-Toukhy S, Pike J, Zuckerman G, Hegeman P. Decision Trade-Offs in Ecological Momentary Assessments and Digital Wearables Uptake: Protocol for a Discrete Choice Experiment. JMIR Research Protocols 2023;12:e47567 View
  63. Friend S, Ginsburg G, Picard R, Drazen J, Fedor S, Lewis R, Pedrelli P, Mischoulon D, Curtiss J, Picard R. Wearable Technology in Clinical Practice for Depressive Disorder. New England Journal of Medicine 2023;389(26):2457 View
  64. Walsh A, Naughton G, Sharpe T, Zajkowska Z, Malys M, van Heerden A, Mondelli V. A collaborative realist review of remote measurement technologies for depression in young people. Nature Human Behaviour 2024;8(3):480 View
  65. Simblett S, Dawe-Lane E, Gilpin G, Morris D, White K, Erturk S, Devonshire J, Lees S, Zorbas S, Polhemus A, Temesi G, Cummins N, Hotopf M, Wykes T. Data visualization preferences in remote measurement technology for individuals living with depression, epilepsy, and multiple sclerosis: a qualitative study (Preprint). Journal of Medical Internet Research 2022 View
  66. De la Cruz-Torralva K, Escobar-Agreda S, Riega-Lopez P, Amaro-Salinas J, Reategui-Rivera C, Rojas-Mezarina L. Assessment of a pilot program for remote support on mental health for young physicians in rural settings in Peru: a mixed-method study (Preprint). JMIR Formative Research 2023 View
  67. Bilal A, Pagoni K, Iliadis S, Papadopoulos F, Skalkidou A, Öster C. Exploring user experiences of the Mom2B mHealth research app during the perinatal period: qualitative study (Preprint). JMIR Formative Research 2023 View
  68. Funnell E, Martin-Key N, Benacek J, Spadaro B, Bahn S. Preferences for and intention to use an app for premenstrual mental health symptoms using the Health Behaviour Model (HBM). npj Women's Health 2024;2(1) View

Books/Policy Documents

  1. Nombakuse R, Tsibolane P, Roodt S. Digital-for-Development: Enabling Transformation, Inclusion and Sustainability Through ICTs. View