mHealth or eHealth? Efficacy, Use, and Appreciation of a Web-Based Computer-Tailored Physical Activity Intervention for Dutch Adults: A Randomized Controlled Trial

Journals

1. Poppe L, De Bourdeaudhuij I, Verloigne M, Shadid S, Van Cauwenberg J, Compernolle S, Crombez G. Efficacy of a Self-Regulation–Based Electronic and Mobile Health Intervention Targeting an Active Lifestyle in Adults Having Type 2 Diabetes and in Adults Aged 50 Years or Older: Two Randomized Controlled Trials. Journal of Medical Internet Research 2019;21(8):e13363 View
2. Parker S, Prince A, Thomas L, Song H, Milosevic D, Harris M. Electronic, mobile and telehealth tools for vulnerable patients with chronic disease: a systematic review and realist synthesis. BMJ Open 2018;8(8):e019192 View
3. Wurst R, Maliezefski A, Ramsenthaler C, Brame J, Fuchs R. Effects of Incentives on Adherence to a Web-Based Intervention Promoting Physical Activity: Naturalistic Study. Journal of Medical Internet Research 2020;22(7):e18338 View
4. Danaher J, Nyholm S, Earp B. The Quantified Relationship. The American Journal of Bioethics 2018;18(2):3 View
5. Nurmi J, Knittle K, Ginchev T, Khattak F, Helf C, Zwickl P, Castellano-Tejedor C, Lusilla-Palacios P, Costa-Requena J, Ravaja N, Haukkala A. Engaging Users in the Behavior Change Process With Digitalized Motivational Interviewing and Gamification: Development and Feasibility Testing of the Precious App. JMIR mHealth and uHealth 2020;8(1):e12884 View
6. Baumel A, Faber K, Mathur N, Kane J, Muench F. Enlight: A Comprehensive Quality and Therapeutic Potential Evaluation Tool for Mobile and Web-Based eHealth Interventions. Journal of Medical Internet Research 2017;19(3):e82 View
7. Cheung K, Wijnen B, de Vries H. A Review of the Theoretical Basis, Effects, and Cost Effectiveness of Online Smoking Cessation Interventions in the Netherlands: A Mixed-Methods Approach. Journal of Medical Internet Research 2017;19(6):e230 View
8. Lozano-Lozano M, Galiano-Castillo N, Martín-Martín L, Pace-Bedetti N, Fernández-Lao C, Arroyo-Morales M, Cantarero-Villanueva I. Monitoring Energy Balance in Breast Cancer Survivors Using a Mobile App: Reliability Study. JMIR mHealth and uHealth 2018;6(3):e67 View
9. Carrillo-Larco R, Jiwani S, Diez-Canseco F, Kanter R, Beratarrechea A, Irazola V, Ramirez-Zea M, Rubinstein A, Martinez H, Miranda J. Implementation Tells Us More Beyond Pooled Estimates: Secondary Analysis of a Multicountry mHealth Trial to Reduce Blood Pressure. JMIR mHealth and uHealth 2018;6(11):e10226 View
10. Manios Y, Lambrinou C, Mavrogianni C, Cardon G, Lindström J, Iotova V, Tankova T, Rurik I, Van Stappen V, Kivelä J, Mateo-Gallego R, Moreno L, Makrilakis K, Androutsos O. Lifestyle Changes Observed among Adults Participating in a Family- and Community-Based Intervention for Diabetes Prevention in Europe: The 1st Year Results of the Feel4Diabetes-Study. Nutrients 2020;12(7):1949 View
11. Boudreau F, Dagenais G, de Vries H, Walthouwer M, Côté J, Turbide G, Bourlaud A, Poirier P. Effectiveness of a web-based computer-tailored intervention promoting physical activity for adults from Quebec City: a randomized controlled trial. Health Psychology and Behavioral Medicine 2020;8(1):601 View
12. Uribe-Toril J, Ruiz-Real J, Nievas-Soriano B. A Study of eHealth from the Perspective of Social Sciences. Healthcare 2021;9(2):108 View
13. Karatzi K, Moschonis G, Botsi E, Liatis S, Tsochev K, De Miguel-Etayo P, Kivelä J, Wikström K, Dimova R, Antal E, Lamiquiz-Moneo I, Rurik I, Cardon G, Iotova V, Makrilakis K, Manios Y. Lipidemic Profile Changes over a Two-Year Intervention Period: Who Benefited Most from the Feel4Diabetes Program?. Nutrients 2020;12(12):3736 View
14. Mahony C, Heavin C, Sammon D. Health-related information resource use: an exploratory study of expectant mothers. Journal of Decision Systems 2022;31(3):234 View
15. Kemp B, Thompson D, Watson C, McGuigan K, Woodside J, Ski C. Effectiveness of family-based eHealth interventions in cardiovascular disease risk reduction: A systematic review. Preventive Medicine 2021;149:106608 View
16. Lee S, Patel P, Myers N, Pfeiffer K, Smith A, Kelly K. A Systematic Review of eHealth Interventions to Promote Physical Activity in Adults with Obesity or Overweight. Behavioral Medicine 2023;49(3):213 View
17. Sui W, Rush J, Rhodes R. Engagement With Web-Based Fitness Videos on YouTube and Instagram During the COVID-19 Pandemic: Longitudinal Study. JMIR Formative Research 2022;6(3):e25055 View
18. Patnode C, Redmond N, Iacocca M, Henninger M. Behavioral Counseling Interventions to Promote a Healthy Diet and Physical Activity for Cardiovascular Disease Prevention in Adults Without Known Cardiovascular Disease Risk Factors. JAMA 2022;328(4):375 View
19. Nievas-Soriano B, García-Duarte S, Fernández-Alonso A, Bonillo-Perales A, Parrón-Carreño T. Users evaluation of a Spanish eHealth pediatric website. Computer Methods and Programs in Biomedicine 2021;212:106462 View
20. Alkhalifah T. A Structural Equation Modelling of Governing Factors Influencing Patient Acceptance of Mobile Health in Saudi Arabia. International Journal of E-Services and Mobile Applications 2022;14(1):1 View
21. Maenhout L, Peuters C, Cardon G, Crombez G, DeSmet A, Compernolle S. Nonusage Attrition of Adolescents in an mHealth Promotion Intervention and the Role of Socioeconomic Status: Secondary Analysis of a 2-Arm Cluster-Controlled Trial. JMIR mHealth and uHealth 2022;10(5):e36404 View
22. Liu J, Gong X, Weal M, Dai W, Hou S, Ma J. Attitudes and associated factors of patients’ adoption of patient accessible electronic health records in China — A mixed methods study. DIGITAL HEALTH 2023;9 View
23. Brunet J, Sharma S, Price J, Black M. Acceptability and Usability of a Theory-Driven Intervention via Email to Promote Physical Activity in Women Who Are Overweight or Obese: Substudy Within a Randomized Controlled Trial. JMIR Formative Research 2023;7:e48301 View
24. Alsahli S, Hor S, Lam M. Factors Influencing the Acceptance and Adoption of Mobile Health Apps by Physicians During the COVID-19 Pandemic: Systematic Review. JMIR mHealth and uHealth 2023;11:e50419 View
25. Coppens I, De Pessemier T, Martens L. Exploring the added effect of three recommender system techniques in mobile health interventions for physical activity: a longitudinal randomized controlled trial. User Modeling and User-Adapted Interaction 2024;34(5):1835 View
26. Yuki G, Hespanhol L, Mohr L, Bhundoo A, Jiménez-Pavón D, Novak B, Nuccio S, García J, Pillay J, Rum L, Ramírez C, Vogt L, Wilke J. Predictors of dropping out from a home tele-exercise programme: A cohort study derived from a randomised controlled trial. Health Promotion Perspectives 2024;14(3):238 View

Books/Policy Documents

1. Lippke S. Digitales Betriebliches Gesundheitsmanagement. View
2. de Moraes Lopes M, Ferreira D, Ferreira A, da Silva G, Caetano A, Braz V. Artificial Intelligence in Precision Health. View
3. Baños R, Vara M, Mira A, García-Palacios A, Botella C. Comprehensive Clinical Psychology. View
4. Paglialonga A, Mastropietro A, Scalco E, Rizzo G. m_Health Current and Future Applications. View
5. Cheung K, Hors-Fraile S, de Vries H. Digital Health. View
6. Willemse B, Kaptein M, Batalas N, Hasaart F. Wireless Mobile Communication and Healthcare. View
7. Mukami V, Millham R, Puckree T, Fong S. Proceeding of First Doctoral Symposium on Natural Computing Research. View
8. Ring-Dimitriou S, Pühringer M. Aktives Altern im digitalen Zeitalter. View
9. Dimitriou M. Aktives Altern im digitalen Zeitalter. View
10. Lippke S. Digitale Gesundheitsinterventionen. View