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

Use and User Demographics of mHealth (335) Mobile Health (mhealth) (2942) Adoption and Change Management of eHealth Systems (712) Usability of Apps and User Perceptions of mHealth (974)

Published on in Vol 9, No 9 (2021): September

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/27021, first published .
Toward a Better Understanding of the Intention to Use mHealth Apps: Exploratory Study

Toward a Better Understanding of the Intention to Use mHealth Apps: Exploratory Study

Toward a Better Understanding of the Intention to Use mHealth Apps: Exploratory Study

Authors of this article:

Pedro R Palos-Sanchez1 Author Orcid Image ;   Jose Ramon Saura2 Author Orcid Image ;   Miguel Ángel Rios Martin1 Author Orcid Image ;   Mariano Aguayo-Camacho1 Author Orcid Image
Article Authors Cited by (46) Tweetations (6) Metrics

Journals

  1. Cheng Y, Hsu T, Fried J, Chao P. Are we Ready to be e-Social Service Practitioners for Older Adults? Potential of Taiwanese Social Service College Students. IEEE Access 2022;10:52451 View
  2. Albastaki Y. Assessing the perceived usability of an intelligent contact tracing app to prevent the spread of COVID-19 using SUS and TAM: be aware Bahrain. Journal of Decision Systems 2024;33(2):293 View
  3. Bogale B, Habte A, Haile D, Guteta M, Mohammed N, Gebremichael M. Willingness to Receive mHealth Messages Among Diabetic Patients at Mizan Tepi University Teaching Hospital: Implications for Digital Health. Patient Preference and Adherence 2022;Volume 16:1499 View
  4. Kang H, Han J, Kwon G. The Acceptance Behavior of Smart Home Health Care Services in South Korea: An Integrated Model of UTAUT and TTF. International Journal of Environmental Research and Public Health 2022;19(20):13279 View
  5. Alhur M, 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 View
  6. Galavi Z, Pourasad M, Norouzi S, Jahani Y, Khajouei R. Public Usage, Perceived Usefulness, and Satisfaction with E-health Services in COVID-19 Pandemic. Journal of Clinical Research in Paramedical Sciences 2023;11(2) View
  7. Acikgoz F, Filieri R, Yan M. Psychological Predictors of Intention to Use Fitness Apps: The Role of Subjective Knowledge and Innovativeness. International Journal of Human–Computer Interaction 2023;39(10):2142 View
  8. Park D, Kim H. Determinants of Intentions to Use Digital Mental Healthcare Content among University Students, Faculty, and Staff: Motivation, Perceived Usefulness, Perceived Ease of Use, and Parasocial Interaction with AI Chatbot. Sustainability 2023;15(1):872 View
  9. Cao J, Kurata K, Lim Y, Sengoku S, Kodama K. Social Acceptance of Mobile Health among Young Adults in Japan: An Extension of the UTAUT Model. International Journal of Environmental Research and Public Health 2022;19(22):15156 View
  10. Jilani M, Moniruzzaman M, Dey M, Alam E, Uddin M. Strengthening the Trialability for the Intention to Use of mHealth Apps Amidst Pandemic: A Cross-Sectional Study. International Journal of Environmental Research and Public Health 2022;19(5):2752 View
  11. Xu Q, Hou X, Xiao T, Zhao W. Factors Affecting Medical Students’ Continuance Intention to Use Mobile Health Applications. Journal of Multidisciplinary Healthcare 2022;Volume 15:471 View
  12. Marino-Romero J, Palos-Sanchez P, Velicia-Martin F. Improving KIBS performance using digital transformation: study based on the theory of resources and capabilities. Journal of Service Theory and Practice 2023;33(2):169 View
  13. Ahikiriza E, Wesana J, Van Huylenbroeck G, Kabbiri R, De Steur H, Lauwers L, Gellynck X. Farmer knowledge and the intention to use smartphone-based information management technologies in Uganda. Computers and Electronics in Agriculture 2022;202:107413 View
  14. Antunes E, Alcaire R, Amaral I. Wellbeing and (Mental) Health: A Quantitative Exploration of Portuguese Young Adults’ Uses of M-Apps from a Gender Perspective. Social Sciences 2022;12(1):3 View
  15. Egilsson E, Bjarnason R, Njardvik U. Usage and Daily Attrition of a Smartphone-Based Health Behavior Intervention: Randomized Controlled Trial. JMIR mHealth and uHealth 2023;11:e45414 View
  16. Subbe C, Hughes D, Lewis S, Holmes E, Kalkman C, So R, Tranka S, Welch J. Value of improving patient safety: health economic considerations for rapid response systems–a rapid review of the literature and expert round table. BMJ Open 2023;13(4):e065819 View
  17. van Elburg F, van de Klundert J, Nieboer A, Askari M. The intention to use mHealth applications among Dutch older adults prior and during the COVID pandemic. Frontiers in Public Health 2023;11 View
  18. Zhang M, Zhang H, Zhu R, Yang H, Chen M, Wang X, Li Z, Xiong Z. Factors affecting the willingness of patients with type 2 diabetes to use digital disease management applications: a cross-sectional study. Frontiers in Public Health 2023;11 View
  19. Wei Y, Guo X. Impact of smart device use on objective and subjective health of older adults: findings from four provinces in China. Frontiers in Public Health 2023;11 View
  20. Climent-Ballester S, García-Salom P, Sanz-Valero J. Computer programs used in the field of hospital pharmacy for the management of dangerous drugs: systematic review of literature. Frontiers in Public Health 2023;11 View
  21. Kamaruzaman K, Hussein Z, Fikry A. Factors Affecting Behavioural Intention to Use Mobile Health Applications among Obese People in Malaysia. European Journal of Business Science and Technology 2023;9(1):92 View
  22. Paganin G, Margheritti S, Farhane-Medina N, Simbula S, Mazzetti G. Health, Stress and Technologies: Integrating Technology Acceptance and Health Belief Models for Smartphone-Based Stress Intervention. Healthcare 2023;11(23):3030 View
  23. Atinafu W, Tilahun K, Yilma T, Mekonnen Z, Walle A, Adem J. Intention to use a mobile phone to receive mental health support and its predicting factors among women attending antenatal care at public health facilities in Ambo town, West Shoa zone, Ethiopia 2022. BMC Health Services Research 2023;23(1) View
  24. Wagaba M, Musoke D, Bagonza A, Ddamulira J, Nalwadda C, Orach C, Robinson J. Does mHealth influence community health worker performance in vulnerable populations? A mixed methods study in a multinational refugee settlement in Uganda. PLOS Global Public Health 2023;3(12):e0002741 View
  25. Walle A, Ferede T, Shibabaw A, Wubante S, Guadie H, Yehula C, Demsash A. Willingness of diabetes mellitus patients to use mHealth applications and its associated factors for self-care management in a low-income country: an input for digital health implementation. BMJ Health & Care Informatics 2023;30(1):e100761 View
  26. Arenas-Escaso J, Folgado-Fernández J, Palos-Sánchez P. Internet interventions and therapies for addressing the negative impact of digital overuse: a focus on digital free tourism and economic sustainability. BMC Public Health 2024;24(1) View
  27. Fan S, Jain R, Kankanhalli M. A Comprehensive Picture of Factors Affecting User Willingness to Use Mobile Health Applications. ACM Transactions on Computing for Healthcare 2024;5(1):1 View
  28. Ashrafi D. Technology Takes the Wheel: Unveiling the Drivers of Car Dashcam Adoption. International Journal of Innovation and Technology Management 2024;21(03) View
  29. Moscoso-Aguayo P, Salazar-Concha C, Gomez-Conesa A, Segura-Orti E. Virtual reality usage intention in an intradialysis exercise program: Predictive analysis through a structural equation model. Journal of Human Behavior in the Social Environment 2024:1 View
  30. Vincent W. Willingness to Use Digital Health Screening and Tracking Tools for Public Health in Sexual Minority Populations in a National Probability Sample: Quantitative Intersectional Analysis. Journal of Medical Internet Research 2024;26:e47448 View
  31. Jafrin N, Akhter H, Saif A, Said F, Ghosh D. Investigating the antecedents of mHealth adoption by older adults in a lower-middle income country: The PLS-MGA approach. Educational Gerontology 2024;50(9):845 View
  32. Kokila , Jain R, Munde A, Ansari Z. Determinants of Adoption of Mobile Health Applications: A Machine Learning Approach. Procedia Computer Science 2024;235:1568 View
  33. Tai W, Duong N, Wei C, Wang Y, Yang J, Chen K, Wang Y. What Drives Users’ Removal Behavior of Mobile Apps. Journal of Computer Information Systems 2024:1 View
  34. Mu G, Li J, Liao Z, Yang Z. An Enhanced IHHO-LSTM Model for Predicting Online Public Opinion Trends in Public Health Emergencies. Sage Open 2024;14(2) View
  35. Dolničar V, Petrovčič A, Škafar M, Laznik J, Prevodnik K, Hvalič-Touzery S. Determinants of the intention to use mHealth in the future: Evidence from an intervention study of patients with chronic diseases in Slovenia. International Journal of Medical Informatics 2024;190:105537 View
  36. Abdissa H, Duguma G, Ababulgu F, Lemu Y, Gerbaba M, Noll J, Sori D, Koricha Z. Pregnant mother’s intention to use mobile phone-based messaging interventions for improving maternal and newborn health practices in Jimma Zone, Ethiopia. BMC Digital Health 2024;2(1) View
  37. Cheng C, Lou V. Recruiting older participants: evaluating the role of message framing in willingness to enroll in wearable robot experiments. Cogent Social Sciences 2024;10(1) View
  38. Widiastuti T, Mawardi I, Samer Ali A, Atiya N, Rani L, Robani A, Al Mustofa M. Determinant factors for online cash waqf intention among Muslim millennial generation. Journal of Islamic Marketing 2024 View
  39. Leung W, Law S, Cheung M, Chang M, Lai C, Liu N. From resistance to acceptance: developing health task measures to boost mHealth adoption among older adults: mixed-methods approach and innovation resistance. Internet Research 2024 View
  40. Scheer E, Arora J, Rogers C, Wellbeloved-Stone C, Collins M, Valdez R. Disabled Individuals’ Negative Perceptions of Mobile Health Applications: Design Guidance for HFE Practitioners. Proceedings of the Human Factors and Ergonomics Society Annual Meeting 2024 View
  41. Kopka M, Slagman A, Schorr C, Krampe H, Altendorf M, Balzer F, Bolanaki M, Kuschick D, Möckel M, Napierala H, Scatturin L, Schmidt K, Thissen A, Schmieding M. German mHealth App Usability Questionnaire (G-MAUQ) and short version (G-MAUQ-S): Translation and validation study. Smart Health 2024;34:100517 View
  42. Zeng K, Dong L, Xu Y, Zheng X. Exploring observed and instructed mHealth use in the middle-aged and elderly people (MAEP): A social learning perspective. DIGITAL HEALTH 2024;10 View
  43. Wang L, Zhang Y, Li Z, Pang X, Zhang Y, Zou M. Analysis of willingness to use health management APP for female college students: application of UTAUT model based on Fogg theory. Frontiers in Psychology 2024;15 View

Books/Policy Documents

  1. Haridi H, Alsaleh S, Alzabin S, Almasabi M, Almakrami A, Al-Swedan A, Aman A. Proceedings of Seventh International Congress on Information and Communication Technology. View
  2. Mouloudj K, Bouarar A, Asanza D, Saadaoui L, Mouloudj S, Njoku A, Evans M, Bouarar A. Integrating Digital Health Strategies for Effective Administration. View
  3. Kokila ­, Jain R, Jeswal R, Ansari Z. AI Healthcare Applications and Security, Ethical, and Legal Considerations. View