Published on in Vol 5, No 1 (2017): January

Analyzing mHealth Engagement: Joint Models for Intensively Collected User Engagement Data

Analyzing mHealth Engagement: Joint Models for Intensively Collected User Engagement Data

Analyzing mHealth Engagement: Joint Models for Intensively Collected User Engagement Data

Journals

  1. Brager J, Breitenstein S, Miller H, Gross D. Low-Income Parents’ Perceptions of and Engagement With a Digital Behavioral Parent Training Program: A Mixed-Methods Study. Journal of the American Psychiatric Nurses Association 2021;27(1):33 View
  2. Turvey C, Fortney J. The Use of Telemedicine and Mobile Technology to Promote Population Health and Population Management for Psychiatric Disorders. Current Psychiatry Reports 2017;19(11) View
  3. Paglialonga A, Schiavo M, Caiani E. Automated Characterization of Mobile Health Apps' Features by Extracting Information From the Web: An Exploratory Study. American Journal of Audiology 2018;27(3S):482 View
  4. Arnold C, Villagonzalo K, Meyer D, Farhall J, Foley F, Kyrios M, Thomas N. Predicting engagement with an online psychosocial intervention for psychosis: Exploring individual- and intervention-level predictors. Internet Interventions 2019;18:100266 View
  5. Ortega A, Cushing C. Developing Empirical Decision Points to Improve the Timing of Adaptive Digital Health Physical Activity Interventions in Youth: Survival Analysis. JMIR mHealth and uHealth 2020;8(6):e17450 View
  6. Meyer D, Jayawardana M, Muir S, Ho D, Sackett O. Promoting Psychological Well-Being at Work by Reducing Stress and Improving Sleep: Mixed-Methods Analysis. Journal of Medical Internet Research 2018;20(10):e267 View
  7. Rodenburg F, Sawada Y, Hayashi N. Improving RNN Performance by Modelling Informative Missingness with Combined Indicators. Applied Sciences 2019;9(8):1623 View
  8. Hendrikoff L, Kambeitz-Ilankovic L, Pryss R, Senner F, Falkai P, Pogarell O, Hasan A, Peters H. Prospective acceptance of distinct mobile mental health features in psychiatric patients and mental health professionals. Journal of Psychiatric Research 2019;109:126 View
  9. Paglialonga A, Lugo A, Santoro E. An overview on the emerging area of identification, characterization, and assessment of health apps. Journal of Biomedical Informatics 2018;83:97 View
  10. Kim H, Tietsort C, Posteher K, Michaelides A, Toro-Ramos T. Enabling Self-management of a Chronic Condition through Patient-centered Coaching: A Case of an mHealth Diabetes Prevention Program for Older Adults. Health Communication 2020;35(14):1791 View
  11. Carrasco-Hernandez L, Jódar-Sánchez F, Núñez-Benjumea F, Moreno Conde J, Mesa González M, Civit-Balcells A, Hors-Fraile S, Parra-Calderón C, Bamidis P, Ortega-Ruiz F. A Mobile Health Solution Complementing Psychopharmacology-Supported Smoking Cessation: Randomized Controlled Trial. JMIR mHealth and uHealth 2020;8(4):e17530 View
  12. Huh J, Cerrada C, Dzubur E, Dunton G, Spruijt-Metz D, Leventhal A. Effect of a mobile just-in-time implementation intention intervention on momentary smoking lapses in smoking cessation attempts among Asian American young adults. Translational Behavioral Medicine 2021;11(1):216 View
  13. Pham Q, Graham G, Carrion C, Morita P, Seto E, Stinson J, Cafazzo J. A Library of Analytic Indicators to Evaluate Effective Engagement with Consumer mHealth Apps for Chronic Conditions: Scoping Review. JMIR mHealth and uHealth 2019;7(1):e11941 View
  14. Kuntsman A, Miyake E, Martin S. Re-thinking Digital Health: Data, Appisation and the (im)possibility of ‘Opting out’. DIGITAL HEALTH 2019;5:205520761988067 View
  15. Thomas K, Müssener U, Linderoth C, Karlsson N, Bendtsen P, Bendtsen M. Effectiveness of a Text Messaging–Based Intervention Targeting Alcohol Consumption Among University Students: Randomized Controlled Trial. JMIR mHealth and uHealth 2018;6(6):e146 View
  16. Short C, DeSmet A, Woods C, Williams S, Maher C, Middelweerd A, Müller A, Wark P, Vandelanotte C, Poppe L, Hingle M, Crutzen R. Measuring Engagement in eHealth and mHealth Behavior Change Interventions: Viewpoint of Methodologies. Journal of Medical Internet Research 2018;20(11):e292 View
  17. Yeager C, Shoji K, Luszczynska A, Benight C. Engagement With a Trauma Recovery Internet Intervention Explained With the Health Action Process Approach (HAPA): Longitudinal Study. JMIR Mental Health 2018;5(2):e29 View
  18. Marsch L. Opportunities and needs in digital phenotyping. Neuropsychopharmacology 2018;43(8):1637 View
  19. Schleicher M, Unnikrishnan V, Neff P, Simoes J, Probst T, Pryss R, Schlee W, Spiliopoulou M. Understanding adherence to the recording of ecological momentary assessments in the example of tinnitus monitoring. Scientific Reports 2020;10(1) View
  20. Nuijten R, Van Gorp P, Borghouts T, Le Blanc P, Van den Berg P, Kemperman A, Hadian E, Simons M. Preadolescent Students’ Engagement With an mHealth Intervention Fostering Social Comparison for Health Behavior Change: Crossover Experimental Study. Journal of Medical Internet Research 2021;23(7):e21202 View
  21. Goldstein S, Thomas J, Brick L, Zhang F, Forman E. Identifying behavioral types of dietary lapse from a mobile weight loss program: Preliminary investigation from a secondary data analysis. Appetite 2021;166:105440 View
  22. Nuijten R, Van Gorp P, Khanshan A, Le Blanc P, van den Berg P, Kemperman A, Simons M. Evaluating the Impact of Adaptive Personalized Goal Setting on Engagement Levels of Government Staff With a Gamified mHealth Tool: Results From a 2-Month Randomized Controlled Trial. JMIR mHealth and uHealth 2022;10(3):e28801 View
  23. Gumley A, Bradstreet S, Ainsworth J, Allan S, Alvarez-Jimenez M, Birchwood M, Briggs A, Bucci S, Cotton S, Engel L, French P, Lederman R, Lewis S, Machin M, MacLennan G, McLeod H, McMeekin N, Mihalopoulos C, Morton E, Norrie J, Reilly F, Schwannauer M, Singh S, Sundram S, Thompson A, Williams C, Yung A, Aucott L, Farhall J, Gleeson J. Digital smartphone intervention to recognise and manage early warning signs in schizophrenia to prevent relapse: the EMPOWER feasibility cluster RCT. Health Technology Assessment 2022;26(27):1 View
  24. Barnes S, Chandler T, Granda-Salazar M. Help over harm: practical and ethical considerations for the evaluation and deployment of therapeutic games. Mental Health and Social Inclusion 2023;27(2):133 View
  25. Gavin J, Barnes S. Research protocol for a preliminary evaluation of a gamified tool for adult wellbeing. Mental Health and Social Inclusion 2023;27(2):154 View
  26. Nuijten R, Van Gorp P, Khanshan A, Le Blanc P, Kemperman A, van den Berg P, Simons M. Health Promotion through Monetary Incentives: Evaluating the Impact of Different Reinforcement Schedules on Engagement Levels with a mHealth App. Electronics 2021;10(23):2935 View
  27. Nuijten R, Van Gorp P, Hietbrink J, Le Blanc P, Kemperman A, van den Berg P, Simons M. Pilot Evaluation of the Impact of Lottery-Based Incentives on Engagement Levels of Male Low SES Vocational Students With an mHealth App. Frontiers in Digital Health 2022;3 View
  28. García-Estela A, Cantillo J, Angarita-Osorio N, Mur-Milà E, Anmella G, Pérez V, Vieta E, Hidalgo-Mazzei D, Colom F. Real-world Implementation of a Smartphone-Based Psychoeducation Program for Bipolar Disorder: Observational Ecological Study. Journal of Medical Internet Research 2022;24(2):e31565 View
  29. Ren B, Xia C, Gehrman P, Barnett I, Satterthwaite T. Measuring Daily Activity Rhythms in Young Adults at Risk of Affective Instability Using Passively Collected Smartphone Data: Observational Study. JMIR Formative Research 2022;6(9):e33890 View
  30. Kondo M, Okitsu T, Waki K, Yamauchi T, Nangaku M, Ohe K. Effect of Information and Communication Technology–Based Self-management System DialBeticsLite on Treating Abdominal Obesity in the Specific Health Guidance in Japan: Randomized Controlled Trial. JMIR Formative Research 2022;6(3):e33852 View
  31. Gorny A, Chee W, Müller-Riemenschneider F. Active Use and Engagement in an mHealth Initiative Among Young Men With Obesity: Mixed Methods Study. JMIR Formative Research 2022;6(1):e33798 View
  32. Beukenhorst A, Burke K, Scheier Z, Miller T, Paganoni S, Keegan M, Collins E, Connaghan K, Tay A, Chan J, Berry J, Onnela J. Using Smartphones to Reduce Research Burden in a Neurodegenerative Population and Assessing Participant Adherence: A Randomized Clinical Trial and Two Observational Studies. JMIR mHealth and uHealth 2022;10(2):e31877 View
  33. Meyer J, Ratz T, Pauls A, Hellmers S, Boll S, Fudickar S, Hein A, Bauer J, Koppelin F, Lippke S, Peters M, Pischke C, Voelcker-Rehage C, Zeeb H, Forberger S. Designing and applying technology for prevention—Lessons learned in AEQUIPA and its implications for future research and practice. Frontiers in Public Health 2022;10 View
  34. O'Connor S, Mayne A, Hood B. Virtual Reality-Based Mindfulness for Chronic Pain Management: A Scoping Review. Pain Management Nursing 2022;23(3):359 View
  35. Zhou X, Bambling M, Bai X, Smith A, Edirippulige S. Exploring factors affecting Chinese adolescents’ perceived usefulness and engagement with a stress management app: a qualitative study. Frontiers in Psychology 2023;14 View
  36. Koslovsky M, Pettee Gabriel K, Businelle M, Wetter D, Kendzor D. Dynamic Functional Variable Selection for Multimodal mHealth Data. Bayesian Analysis 2024;-1(-1) View

Books/Policy Documents

  1. Paglialonga A, Pinciroli F, Tognola G. Tele-Audiology and the Optimization of Hearing Healthcare Delivery. View
  2. Paglialonga A, Mastropietro A, Scalco E, Rizzo G. m_Health Current and Future Applications. View
  3. Ensari I, Elhadad N. Digital Health. View
  4. Issom D. Sickle Cell Disease. View
  5. Barnes S, Bradley M, Williams A. Digital Innovations for Mental Health Support. View
  6. Barnes S, Bradley M, Williams A. Research Anthology on Game Design, Development, Usage, and Social Impact. View
  7. Gavin J, Barnes S. Proceedings of ICACTCE'23 — The International Conference on Advances in Communication Technology and Computer Engineering. View
  8. Barnes S, Chandler T, Salazar M. Proceedings of ICACTCE'23 — The International Conference on Advances in Communication Technology and Computer Engineering. View