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

Formative Studies and eHealth/mHealth Development (524)

Published on in Vol 1, No 2 (2012): Jul-Dec

Usability Study of a Computer-Based Self-Management System for Older Adults with Chronic Diseases

Usability Study of a Computer-Based Self-Management System for Older Adults with Chronic Diseases

Usability Study of a Computer-Based Self-Management System for Older Adults with Chronic Diseases

Authors of this article:

Calvin Or1 ;   Da Tao1
Article Authors Cited by (65) Tweetations (1) Metrics

Journals

  1. Wildenbos G, Jaspers M, Schijven M, Dusseljee- Peute L. Mobile health for older adult patients: Using an aging barriers framework to classify usability problems. International Journal of Medical Informatics 2019;124:68 View
  2. Tao D, Or C, Li K. The Influence of Computer Experience and Screen Size on Use Performance and Perceptions of a Tablet-Based Chronic Illness Self-Management System for Older Adults. Proceedings of the International Symposium on Human Factors and Ergonomics in Health Care 2014;3(1):58 View
  3. Wildenbos G, Peute L, Jaspers M. Aging barriers influencing mobile health usability for older adults: A literature based framework (MOLD-US). International Journal of Medical Informatics 2018;114:66 View
  4. Georgsson M, Staggers N. Quantifying usability: an evaluation of a diabetes mHealth system on effectiveness, efficiency, and satisfaction metrics with associated user characteristics. Journal of the American Medical Informatics Association 2016;23(1):5 View
  5. Tao D, Wang T, Wang T, Zhang T, Zhang X, Qu X. A systematic review and meta-analysis of user acceptance of consumer-oriented health information technologies. Computers in Human Behavior 2020;104:106147 View
  6. Tao D, Yuan J, Shao F, Li D, Zhou Q, Qu X. Factors Affecting Consumer Acceptance of an Online Health Information Portal Among Young Internet Users. CIN: Computers, Informatics, Nursing 2018;36(11):530 View
  7. Yan M, Or C. A 12-week pilot study of acceptance of a computer-based chronic disease self-monitoring system among patients with type 2 diabetes mellitus and/or hypertension. Health Informatics Journal 2019;25(3):828 View
  8. Tao D, Yuan J, Qu X. Presenting self-monitoring test results for consumers: the effects of graphical formats and age. Journal of the American Medical Informatics Association 2018;25(8):1036 View
  9. Tao D, Yuan J, Qu X. Effects of presentation formats on consumers’ performance and perceptions in the use of personal health records among older and young adults. Patient Education and Counseling 2019;102(3):578 View
  10. Or C, Tao D, Wang H. The effectiveness of the use of consumer health information technology in patients with heart failure: A meta-analysis and narrative review of randomized controlled trials. Journal of Telemedicine and Telecare 2017;23(1):155 View
  11. Wildenbos G, Horenberg F, Jaspers M, Peute L, Sent D. How do patients value and prioritize patient portal functionalities and usage factors? A conjoint analysis study with chronically ill patients. BMC Medical Informatics and Decision Making 2018;18(1) View
  12. Liu K, Xie Z, Or C. Effectiveness of Mobile App-Assisted Self-Care Interventions for Improving Patient Outcomes in Type 2 Diabetes and/or Hypertension: Systematic Review and Meta-Analysis of Randomized Controlled Trials. JMIR mHealth and uHealth 2020;8(8):e15779 View
  13. Moradian S, Krzyzanowska M, Maguire R, Morita P, Kukreti V, Avery J, Liu G, Cafazzo J, Howell D. Usability Evaluation of a Mobile Phone–Based System for Remote Monitoring and Management of Chemotherapy-Related Side Effects in Cancer Patients: Mixed-Methods Study. JMIR Cancer 2018;4(2):e10932 View
  14. Or C, Liu K, So M, Cheung B, Yam L, Tiwari A, Lau Y, Lau T, Hui P, Cheng H, Tan J, Cheung M. Improving Self-Care in Patients With Coexisting Type 2 Diabetes and Hypertension by Technological Surrogate Nursing: Randomized Controlled Trial. Journal of Medical Internet Research 2020;22(3):e16769 View
  15. Cao H, Zhang Z, Evans R, Dai W, Bi Q, Zhu Z, Shen L. Barriers and Enablers to the Implementation of Intelligent Guidance Systems for Patients in Chinese Tertiary Transfer Hospitals: Usability Evaluation (Preprint). JMIR Medical Informatics 2020 View
  16. Or C, Dohan M, Tan J. Understanding Critical Barriers to Implementing a Clinical Information System in a Nursing Home Through the Lens of a Socio-Technical Perspective. Journal of Medical Systems 2014;38(9) View
  17. Tao D, Fu P, Wang Y, Zhang T, Qu X. Key characteristics in designing massive open online courses (MOOCs) for user acceptance: an application of the extended technology acceptance model. Interactive Learning Environments 2022;30(5):882 View
  18. Barley E, Clifton A, Lee G, Norman I, O'Callaghan D, Tierney K, Richards D. The Space From Heart Disease Intervention for People With Cardiovascular Disease and Distress: A Mixed-Methods Study. JMIR Research Protocols 2015;4(3):e81 View
  19. Or C, Tong E, Tan J, Chan S. Exploring Factors Affecting Voluntary Adoption of Electronic Medical Records Among Physicians and Clinical Assistants of Small or Solo Private General Practice Clinics. Journal of Medical Systems 2018;42(7) View
  20. Tao D, Shao F, Wang H, Yan M, Qu X. Integrating usability and social cognitive theories with the technology acceptance model to understand young users’ acceptance of a health information portal. Health Informatics Journal 2020;26(2):1347 View
  21. Wildenbos G, Maasri K, Jaspers M, Peute L. Older adults using a patient portal: registration and experiences, one year after implementation. DIGITAL HEALTH 2018;4 View
  22. Cristancho-Lacroix V, Moulin F, Wrobel J, Batrancourt B, Plichart M, De Rotrou J, Cantegreil-Kallen I, Rigaud A. A Web-Based Program for Informal Caregivers of Persons With Alzheimer’s Disease: An Iterative User-Centered Design. JMIR Research Protocols 2014;3(3):e46 View
  23. Chan K, Leung W, Tiwari A, Or K, Ip P. Using Smartphone-Based Psychoeducation to Reduce Postnatal Depression Among First-Time Mothers: Randomized Controlled Trial. JMIR mHealth and uHealth 2019;7(5):e12794 View
  24. Or C, Tao D. A 3-Month Randomized Controlled Pilot Trial of a Patient-Centered, Computer-Based Self-Monitoring System for the Care of Type 2 Diabetes Mellitus and Hypertension. Journal of Medical Systems 2016;40(4) View
  25. Chen T, Or C, Chen J. Effects of technology-supported exercise programs on the knee pain, physical function, and quality of life of individuals with knee osteoarthritis and/or chronic knee pain: A systematic review and meta-analysis of randomized controlled trials. Journal of the American Medical Informatics Association 2021;28(2):414 View
  26. Li C, Neugroschl J, Zhu C, Aloysi A, Schimming C, Cai D, Grossman H, Martin J, Sewell M, Loizos M, Zeng X, Sano M. Design Considerations for Mobile Health Applications Targeting Older Adults. Journal of Alzheimer's Disease 2021;79(1):1 View
  27. Xie Z, Kalun Or C. Acceptance of mHealth by Elderly Adults: A Path Analysis. Proceedings of the Human Factors and Ergonomics Society Annual Meeting 2020;64(1):755 View
  28. Broekhuis M, van Velsen L, Peute L, Halim M, Hermens H. Conceptualizing Usability for the eHealth Context: Content Analysis of Usability Problems of eHealth Applications. JMIR Formative Research 2021;5(7):e18198 View
  29. Dwairej L, Ahmad M. Hypertension and mobile application for self-care, self-efficacy and related knowledge. Health Education Research 2022;37(3):199 View
  30. Liu K, Or C, So M, Cheung B, Chan B, Tiwari A, Tan J. A longitudinal examination of tablet self-management technology acceptance by patients with chronic diseases: Integrating perceived hand function, perceived visual function, and perceived home space adequacy with the TAM and TPB. Applied Ergonomics 2022;100:103667 View
  31. Vega J, Bell B, Taylor C, Xie J, Ng H, Honary M, McNaney R. Detecting Mental Health Behaviors Using Mobile Interactions: Exploratory Study Focusing on Binge Eating. JMIR Mental Health 2022;9(4):e32146 View
  32. Lorusso L, Mosmondor M, Grguric A, Toccafondi L, D’Onofrio G, Russo S, Lampe J, Pihl T, Mayer N, Vignani G, Lesterpt I, Vaamonde L, Giuliani F, Bonaccorsi M, La Viola C, Rovini E, Cavallo F, Fiorini L. Design and Evaluation of Personalized Services to Foster Active Aging: The Experience of Technology Pre-Validation in Italian Pilots. Sensors 2023;23(2):797 View
  33. Cole A, Adapa K, Khasawneh A, Richardson D, Mazur L. Codesign approaches involving older adults in the development of electronic healthcare tools: a systematic review. BMJ Open 2022;12(7):e058390 View
  34. Xie Z, Chen J, Or C. Consumers’ Willingness to Pay for eHealth and Its Influencing Factors: Systematic Review and Meta-analysis. Journal of Medical Internet Research 2022;24(9):e25959 View
  35. Cnossen I, van Uden-Kraan C, Eerenstein S, Rinkel R, Aalders I, van den Berg K, de Goede C, van Stijgeren A, Cruijff-Bijl Y, de Bree R, Leemans C, Verdonck-de Leeuw I. A Participatory Design Approach to Develop a Web-Based Self-Care Program Supporting Early Rehabilitation among Patients after Total Laryngectomy. Folia Phoniatrica et Logopaedica 2015;67(4):193 View
  36. Takahashi S, Oka M, Hiromura K, Ikeuchi H, Shimizu M, Joboshi H. Evaluation of Usability and Learning Motivation of e-Learning Courses for People With Chronic Kidney Disease. CIN: Computers, Informatics, Nursing 2022;40(8):554 View
  37. Ahmad N, Mat Ludin A, Shahar S, Mohd Noah S, Mohd Tohit N. Willingness, perceived barriers and motivators in adopting mobile applications for health-related interventions among older adults: a scoping review. BMJ Open 2022;12(3):e054561 View
  38. Rezaee R, Asadi S, Yazdani A, Rezvani A, Kazeroon A. Development, usability and quality evaluation of the resilient mobile application for women with breast cancer. Health Science Reports 2022;5(4) View
  39. Hui C, McKinstry B, Mclean S, Buchner M, Pinnock H. Assessing the technical feasibility of a flexible, integrated Internet-of-things connected for asthma (C4A) system to support self-management: a mixed method study exploring patients and healthcare professionals perspectives. JAMIA Open 2022;5(4) View
  40. Chen J, Or C, Chen T. Effectiveness of Using Virtual Reality–Supported Exercise Therapy for Upper Extremity Motor Rehabilitation in Patients With Stroke: Systematic Review and Meta-analysis of Randomized Controlled Trials. Journal of Medical Internet Research 2022;24(6):e24111 View
  41. Choi E, Park J, Min D, Ahn S, Ahn J. Heart Failure-Smart Life: a randomized controlled trial of a mobile app for self-management in patients with heart failure. BMC Cardiovascular Disorders 2023;23(1) View
  42. Qu S, Zhou M, Kong N, Campy K. Factors influencing user acceptance of weight management apps among Chinese obese individuals during the COVID-19 pandemic. Health Policy and Technology 2023;12(2):100758 View
  43. Hua Y, LU H, Dai J, Zhou Y, Zhou W, Wang A, Chen Y, Liang Y. Self-management challenges and support needs among patients with primary glaucoma: a qualitative study. BMC Nursing 2023;22(1) View
  44. Chen T, Or C. Perceptions of a machine learning-based lower-limb exercise training system among older adults with knee pain. DIGITAL HEALTH 2023;9 View
  45. Yan M, Or C, Xie Z, Liu H. Facilitators of and barriers to the use of a computer-based self-monitoring system by type 2 diabetic and/or hypertensive patients. International Journal of Industrial Ergonomics 2023;98:103509 View
  46. Xie Z, Or C. Consumers’ Preferences for Purchasing mHealth Apps: Discrete Choice Experiment. JMIR mHealth and uHealth 2023;11:e25908 View
  47. Tao D, Chen Z, Qin M, Cheng M. Modeling Consumer Acceptance and Usage Behaviors of m-Health: An Integrated Model of Self-Determination Theory, Task–Technology Fit, and the Technology Acceptance Model. Healthcare 2023;11(11):1550 View
  48. Chen J, Or C, Li Z, Yeung E, Zhou Y, Hao T. Effectiveness, safety and patients’ perceptions of an immersive virtual reality–based exercise system for poststroke upper limb motor rehabilitation: A proof-of-concept and feasibility randomized controlled trial. DIGITAL HEALTH 2023;9 View
  49. Cao H, Zhang Z, Evans R, Dai W, Bi Q, Zhu Z, Xu J, Shen L. Barriers and Enablers to the Implementation of Intelligent Guidance Systems for Patients in Chinese Tertiary Transfer Hospitals: Usability Evaluation. IEEE Transactions on Engineering Management 2023;70(8):2634 View
  50. Chivela F, Burch A, Asagbra O. An Assessment of Patient Portal Messaging Use by Patients With Multiple Chronic Conditions Living in Rural Communities: Retrospective Analysis. Journal of Medical Internet Research 2023;25:e44399 View
  51. Pineda del Aguila I, Goycochea Robles M, Escobedo de la Peña J, Velázquez López L. Usability Evaluation of an Educational Website for Mexican Patients with Type 2 Diabetes: Satisfaction, Facility, and Utility. Journal of Consumer Health on the Internet 2023;27(4):361 View
  52. Anders C, Moorthy P, Svensson L, Müller J, Heinze O, Knaup P, Wallwiener M, Deutsch T, Le T, Weinert L. Usability and User Experience of an mHealth App for Therapy Support of Patients With Breast Cancer: Mixed Methods Study Using Eye Tracking. JMIR Human Factors 2024;11:e50926 View
  53. Semonella M, Marchesi G, Andersson G, Dekel R, Pietrabissa G, Vilchinsky N. Usability study of SOSteniamoci: An internet-based intervention platform to support informal caregivers in Italy. DIGITAL HEALTH 2024;10 View
  54. Su P, Liu K. Effects of anthropomorphic design on comprehension of self-monitoring test results: Integrating evidence of eye-tracking and event-related potential. Displays 2024;82:102664 View
  55. Bertolazzi A, Quaglia V, Bongelli R. Barriers and facilitators to health technology adoption by older adults with chronic diseases: an integrative systematic review. BMC Public Health 2024;24(1) View
  56. Medina-García R, López-Rodríguez J, Lozano-Hernández C, Ruiz Bejerano V, Criscio P, Del Cura-González I. A Technological Tool Aimed at Self-Care in Patients With Multimorbidity: Cross-Sectional Usability Study. JMIR Human Factors 2024;11:e46811 View
  57. Ditmore M, Florez-Arango J. User-Centered Design for Designing and Evaluating a Prototype of a Data Collection Tool to Submit Information About Incidents of Violence Against Sex Workers: Multiple Methods Approach. JMIR Human Factors 2024;11:e53557 View
  58. Chen T, Chen J, Or C. Heuristic evaluation and end-user testing of a machine learning-based lower-limb exercise training system for management of knee pain in individuals aged 55 years or over. International Journal of Industrial Ergonomics 2024;102:103607 View

Books/Policy Documents

  1. Tao D, Chen Q, Yuan J, Liu S, Zhang X, Qu X. Engineering Psychology and Cognitive Ergonomics: Cognition and Design. View
  2. Tao D, Wang T, Tan H, Cai J, Zhang X. Advances in Usability and User Experience. View
  3. Or C, Liu K, Wang H. Handbook of Research on Emerging Perspectives on Healthcare Information Systems and Informatics. View
  4. Tao D, Yuan J, Qu X, Wang T, Chen X. Engineering Psychology and Cognitive Ergonomics. View
  5. . Designing User Interfaces for an Aging Population. View
  6. Or C, Holden R, Valdez R. Human-Automation Interaction. View
  7. Kopackova H, Hub M. Internet of Things: Architectures for Enhanced Living Environments. View