Published on in Vol 16, No 5 (2014): May

Cognitive Factors of Using Health Apps: Systematic Analysis of Relationships Among Health Consciousness, Health Information Orientation, eHealth Literacy, and Health App Use Efficacy

Cognitive Factors of Using Health Apps: Systematic Analysis of Relationships Among Health Consciousness, Health Information Orientation, eHealth Literacy, and Health App Use Efficacy

Cognitive Factors of Using Health Apps: Systematic Analysis of Relationships Among Health Consciousness, Health Information Orientation, eHealth Literacy, and Health App Use Efficacy

Authors of this article:

Jaehee Cho1 ;   Dongjin Park2 ;   H Erin Lee3

Journals

  1. Triberti S, Durosini I, Pravettoni G. A “Third Wheel” Effect in Health Decision Making Involving Artificial Entities: A Psychological Perspective. Frontiers in Public Health 2020;8 View
  2. Illiger K, Hupka M, von Jan U, Wichelhaus D, Albrecht U. Mobile Technologies: Expectancy, Usage, and Acceptance of Clinical Staff and Patients at a University Medical Center. JMIR mHealth and uHealth 2014;2(4):e42 View
  3. Caburnay C, Graff K, Harris J, McQueen A, Smith M, Fairchild M, Kreuter M. Evaluating Diabetes Mobile Applications for Health Literate Designs and Functionality, 2014. Preventing Chronic Disease 2015;12 View
  4. Chen J, Bauman A, Allman-Farinelli M. A Study to Determine the Most Popular Lifestyle Smartphone Applications and Willingness of the Public to Share Their Personal Data for Health Research. Telemedicine and e-Health 2016;22(8):655 View
  5. Ernsting C, Dombrowski S, Oedekoven M, O´Sullivan J, Kanzler M, Kuhlmey A, Gellert P. Using Smartphones and Health Apps to Change and Manage Health Behaviors: A Population-Based Survey. Journal of Medical Internet Research 2017;19(4):e101 View
  6. Torrent-Sellens J, Díaz-Chao Á, Soler-Ramos I, Saigí-Rubió F. Modelling and Predicting eHealth Usage in Europe: A Multidimensional Approach From an Online Survey of 13,000 European Union Internet Users. Journal of Medical Internet Research 2016;18(7):e188 View
  7. Rising C, Jensen R, Moser R, Oh A. Characterizing the US Population by Patterns of Mobile Health Use for Health and Behavioral Tracking: Analysis of the National Cancer Institute's Health Information National Trends Survey Data. Journal of Medical Internet Research 2020;22(5):e16299 View
  8. Stühmann L, Paprott R, Heidemann C, Baumert J, Hansen S, Zahn D, Scheidt-Nave C, Gellert P. Health App Use and Its Correlates Among Individuals With and Without Type 2 Diabetes: Nationwide Population-Based Survey. JMIR Diabetes 2020;5(2):e14396 View
  9. Mitsutake S, Shibata A, Ishii K, Oka K. Associations of eHealth Literacy With Health Behavior Among Adult Internet Users. Journal of Medical Internet Research 2016;18(7):e192 View
  10. Meng F, Guo X, Peng Z, Zhang X, Vogel D. The routine use of mobile health services in the presence of health consciousness. Electronic Commerce Research and Applications 2019;35:100847 View
  11. Prybutok G, Ta A, Liu X, Prybutok V. An Integrated Structural Equation Model of eHealth Behavioral Intention. International Journal of Healthcare Information Systems and Informatics 2020;15(1):20 View
  12. Baptista S, Wadley G, Bird D, Oldenburg B, Speight J. User Experiences With a Type 2 Diabetes Coaching App: Qualitative Study. JMIR Diabetes 2020;5(3):e16692 View
  13. Xie Z, Nacioglu A, Or C. Prevalence, Demographic Correlates, and Perceived Impacts of Mobile Health App Use Amongst Chinese Adults: Cross-Sectional Survey Study. JMIR mHealth and uHealth 2018;6(4):e103 View
  14. Stuber J, Mackenbach J, de Boer F, de Bruijn G, Gillebaart M, Harbers M, Hoenink J, Klein M, Middel C, van der Schouw Y, Schuitmaker-Warnaar T, Velema E, Vos A, Waterlander W, Lakerveld J, Beulens J. Reducing cardiometabolic risk in adults with a low socioeconomic position: protocol of the Supreme Nudge parallel cluster-randomised controlled supermarket trial. Nutrition Journal 2020;19(1) View
  15. Banerjee P, Mendu V, Korrapati D, Gavaravarapu S. Calorie counting smart phone apps: Effectiveness in nutritional awareness, lifestyle modification and weight management among young Indian adults. Health Informatics Journal 2020;26(2):816 View
  16. Pai R, Alathur S. Determinants of individuals’ intention to use mobile health: insights from India. Transforming Government: People, Process and Policy 2019;13(3/4):306 View
  17. Chung S, Park B, Nahm E. The Korean eHealth Literacy Scale (K-eHEALS): Reliability and Validity Testing in Younger Adults Recruited Online. Journal of Medical Internet Research 2018;20(4):e138 View
  18. Birkhoff S, Cantrell M, Moriarty H, Lustig R. The Usability and Acceptability of a Patient-Centered Mobile Health Tracking App Among a Sample of Adult Radiation Oncology Patients. Advances in Nursing Science 2018;41(3):243 View
  19. Cho J, Lee H, Quinlan M. Complementary Relationships Between Traditional Media and Health Apps Among American College Students. Journal of American College Health 2015;63(4):248 View
  20. Sergueeva K, Shaw N, Lee S. Understanding the barriers and factors associated with consumer adoption of wearable technology devices in managing personal health. Canadian Journal of Administrative Sciences / Revue Canadienne des Sciences de l'Administration 2020;37(1):45 View
  21. Lee H, Cho J. What Motivates Users to Continue Using Diet and Fitness Apps? Application of the Uses and Gratifications Approach. Health Communication 2017;32(12):1445 View
  22. Lwin M, Panchapakesan C, Sheldenkar A, Calvert G, Lim L, Lu J. Determinants of eHealth Literacy among Adults in China. Journal of Health Communication 2020;25(5):385 View
  23. Kwon M, Mun K, Lee J, McLeod D, D’Angelo J. Is mobile health all peer pressure? The influence of mass media exposure on the motivation to use mobile health apps. Convergence: The International Journal of Research into New Media Technologies 2017;23(6):565 View
  24. Ferreira da Silva P, Junior G, Ambrozio R, Salles Tiburcio Costa M, Machado G, Guimarães de Carvalho S, José de Oliveira E, Jorge D, de Almeida Silva Teixeira L. LeishCare®: A Software Designed for the Management of Individuals with Leishmaniases. The American Journal of Tropical Medicine and Hygiene 2020;103(2):909 View
  25. Mahmood A, Kedia S, Wyant D, Ahn S, Bhuyan S. Use of mobile health applications for health-promoting behavior among individuals with chronic medical conditions. DIGITAL HEALTH 2019;5 View
  26. Mitsutake S, Shibata A, Ishii K, Miyawaki R, Oka K. Associations of eHealth Literacy with Obtaining Knowledge about Colorectal Cancer among Internet Users Accessing a Reputable Cancer Website: Internet-Based Survey Study. International Journal of Environmental Research and Public Health 2020;17(9):3302 View
  27. Choi J, Park D, Noh G. The effect of Attributes of Exercise/Fitness Apps on App Usage: A Convergence Perspective Based on the Self-Determination Theory. Journal of Digital Convergence 2015;13(6):327 View
  28. Zhang L, Jung E, Chen Z. Modeling the Pathway Linking Health Information Seeking to Psychological Well-Being on WeChat. Health Communication 2020;35(9):1101 View
  29. Ernsting C, Stühmann L, Dombrowski S, Voigt-Antons J, Kuhlmey A, Gellert P. Associations of Health App Use and Perceived Effectiveness in People With Cardiovascular Diseases and Diabetes: Population-Based Survey. JMIR mHealth and uHealth 2019;7(3):e12179 View
  30. Cho J, Erin Lee H. Contextualization of motivations determining the continuance intention to use smart devices among people with physical disabilities. Telematics and Informatics 2017;34(1):338 View
  31. Shen C, Wang M, Chu J, Wan A, Viswanath K, Chan S, Lam T. Health App Possession Among Smartphone or Tablet Owners in Hong Kong: Population-Based Survey. JMIR mHealth and uHealth 2017;5(6):e77 View
  32. Chae J. A Comprehensive Profile of Those Who Have Health-Related Apps. Health Education & Behavior 2018;45(4):591 View
  33. Swift J, Strathearn L, Morris A, Chi Y, Townsend T, Pearce J. Public health strategies to reduce sugar intake in the UK: An exploration of public perceptions using digital spaces. Nutrition Bulletin 2018;43(3):238 View
  34. Ranjit Y, Shrestha R, Copenhaver M, Altice F. Online HIV information seeking and pre-exposure prophylaxis awareness among people who use drugs. Journal of Substance Abuse Treatment 2020;111:16 View
  35. Shah U, Chiew T. A Systematic Literature Review of the Design Approach and Usability Evaluation of the Pain Management Mobile Applications. Symmetry 2019;11(3):400 View
  36. König L, Sproesser G, Schupp H, Renner B. Describing the Process of Adopting Nutrition and Fitness Apps: Behavior Stage Model Approach. JMIR mHealth and uHealth 2018;6(3):e55 View
  37. da Silva P, dos Santos Fonseca Junior G, Ambrozio R, Tiburcio M, Machado G, de Carvalho S, de Oliveira E, de Almeida Silva Teixeira L, Jorge D. Development of a software for mobile devices designed to help with the management of individuals with neglected tropical diseases. Research on Biomedical Engineering 2020;36(4):527 View
  38. Nguyen A, Somerville E, Espín-Tello S, Keglovits M, Stark S. A Mobile App Directory of Occupational Therapists Who Provide Home Modifications: Development and Preliminary Usability Evaluation. JMIR Rehabilitation and Assistive Technologies 2020;7(1):e14465 View
  39. Kramer U, Vollmar H. Digital Health. Forum 2017;32(6):470 View
  40. Kim K, Lee C, Hornik R. Exploring the Effect of Health App Use on Fruit and Vegetable Consumption. Journal of Health Communication 2020;25(4):283 View
  41. Abdekhoda M, Ahmadi M, Dehnad A, Noruzi A, Gohari M. Applying Electronic Medical Records in health care. Applied Clinical Informatics 2016;07(02):341 View
  42. Choi Y, Kwon K. Testing the Role of Ethnicity and Health Consciousness in Preventive Health Behaviors. OMNES: The Journal of Multicultural Society 2020;10(1):30 View
  43. Chekima B. The Dilemma of Purchase Intention. International Journal of Sustainable Economies Management 2018;7(2):1 View
  44. Chekima B, Oswald A, Wafa S, Chekima K. Narrowing the gap: Factors driving organic food consumption. Journal of Cleaner Production 2017;166:1438 View
  45. Coughlin S, Thind H, Liu B, Champagne N, Jacobs M, Massey R. Mobile Phone Apps for Preventing Cancer Through Educational and Behavioral Interventions: State of the Art and Remaining Challenges. JMIR mHealth and uHealth 2016;4(2):e69 View
  46. Beldad A, Hegner S. Expanding the Technology Acceptance Model with the Inclusion of Trust, Social Influence, and Health Valuation to Determine the Predictors of German Users’ Willingness to Continue using a Fitness App: A Structural Equation Modeling Approach. International Journal of Human–Computer Interaction 2018;34(9):882 View
  47. De Bruijn G, Dallinga J, Deutekom M. Predictors of Walking App Users With Comparison of Current Users, Previous Users, and Informed Nonusers in a Sample of Dutch Adults: Questionnaire Study. JMIR mHealth and uHealth 2021;9(5):e13391 View
  48. Frielink N, Oudshoorn C, Embregts P. eHealth in support for daily functioning of people with intellectual disability: Views of service users, relatives, and professionals on both its advantages and disadvantages and its facilitating and impeding factors. Journal of Intellectual & Developmental Disability 2021;46(2):115 View
  49. Lotto M, Strieder A, Ayala Aguirre P, Oliveira T, Andrade Moreira Machado M, Rios D, Cruvinel T. Parental-oriented educational mobile messages to aid in the control of early childhood caries in low socioeconomic children: A randomized controlled trial. Journal of Dentistry 2020;101:103456 View
  50. McGloin R, Richards K, Embacher K. Examining the Potential Gender Gap in Online Health Information-Seeking Behaviors Among Digital Natives. Communication Research Reports 2016;33(4):370 View
  51. Park D, Goering E, Head K, Bartlett Ellis R. Implications for Training on Smartphone Medication Reminder App Use by Adults With Chronic Conditions: Pilot Study Applying the Technology Acceptance Model. JMIR Formative Research 2017;1(1):e5 View
  52. To W, Lee P, Lu J, Wang J, Yang Y, Yu Q. What Motivates Chinese Young Adults to Use mHealth?. Healthcare 2019;7(4):156 View
  53. Zhang X, Xu X. Continuous use of fitness apps and shaping factors among college students: A mixed-method investigation. International Journal of Nursing Sciences 2020;7:S80 View
  54. Kannisto K, Adams C, Koivunen M, Katajisto J, Välimäki M. Feedback on SMS reminders to encourage adherence among patients taking antipsychotic medication: a cross-sectional survey nested within a randomised trial. BMJ Open 2015;5(11):e008574 View
  55. Bidmon S, Terlutter R. Gender Differences in Searching for Health Information on the Internet and the Virtual Patient-Physician Relationship in Germany: Exploratory Results on How Men and Women Differ and Why. Journal of Medical Internet Research 2015;17(6):e156 View
  56. Tongpeth J, Du H, Clark R. Development and feasibility testing of an avatar‐based education application for patients with acute coronary syndrome. Journal of Clinical Nursing 2018;27(19-20):3561 View
  57. Zhao H, Fu S, Chen X. Promoting users’ intention to share online health articles on social media: The role of confirmation bias. Information Processing & Management 2020;57(6):102354 View
  58. Hussain M, Al-Haiqi A, Zaidan A, Zaidan B, Kiah M, Anuar N, Abdulnabi M. The landscape of research on smartphone medical apps: Coherent taxonomy, motivations, open challenges and recommendations. Computer Methods and Programs in Biomedicine 2015;122(3):393 View
  59. Cha Y, Cho J. A Social-Cognitive Model of Applying RISP and HBM Model for Korean Internet Users’ Behavioral Intentions Regarding Fine-Dust Risk Protection : The Role of Information Exposure, Subjective Norms, Negative Emotions, and Risk Perception. Korean Journal of Journalism & Communication Studies 2019;63(6):96 View
  60. Noee M, Akbari Sari A, Olyaeemanesh A, Mobinizadeh M. Prioritizing the Potential Applications of Mobile-Health in the Iranian Health System. Journal of Research in Health Sciences 2020;20(1):e00473 View
  61. Sudbury-Riley L, FitzPatrick M, Schulz P. Exploring the Measurement Properties of the eHealth Literacy Scale (eHEALS) Among Baby Boomers: A Multinational Test of Measurement Invariance. Journal of Medical Internet Research 2017;19(2):e53 View
  62. Cajita M, Hodgson N, Budhathoki C, Han H. Intention to Use mHealth in Older Adults With Heart Failure. Journal of Cardiovascular Nursing 2017;32(6):E1 View
  63. Shah U, Chiew T. A Systematic Literature Review of the Pain Management Mobile Applications: Toward Building a Conceptual Model. IEEE Access 2019;7:131512 View
  64. Dalton J, Rodger D, Wilmore M, Humphreys S, Skuse A, Roberts C, Clifton V, Beiki O. The Health-e Babies App for antenatal education: Feasibility for socially disadvantaged women. PLOS ONE 2018;13(5):e0194337 View
  65. Birkhoff S, Smeltzer S. Perceptions of Smartphone User‐Centered Mobile Health Tracking Apps Across Various Chronic Illness Populations: An Integrative Review. Journal of Nursing Scholarship 2017;49(4):371 View
  66. Chen M, Lin N. Incorporation of health consciousness into the technology readiness and acceptance model to predict app download and usage intentions. Internet Research 2018;28(2):351 View
  67. Mueller E, Cochrane A, Moore C, Jenkins K, Bauer N, Wiehe S. Assessing Needs and Experiences of Preparing for Medical Emergencies Among Children With Cancer and Their Caregivers. Journal of Pediatric Hematology/Oncology 2020;42(8):e723 View
  68. Li D, Hu Y, Pfaff H, Wang L, Deng L, Lu C, Xia S, Cheng S, Zhu X, Wu X. Determinants of Patients’ Intention to Use the Online Inquiry Services Provided by Internet Hospitals: Empirical Evidence From China. Journal of Medical Internet Research 2020;22(10):e22716 View
  69. You (Ryu) K, Cho J. Investigation of the Influential Factors in Leading People to Seek Mobile Information for the Promotion of Health-Related Behaviors. Sustainability 2020;12(24):10512 View
  70. Yan M, Filieri R, Raguseo E, Gorton M. Mobile apps for healthy living: Factors influencing continuance intention for health apps. Technological Forecasting and Social Change 2021;166:120644 View
  71. ORHAN M, SAYAR B, BİÇER E. Üniversite Öğrencilerinin E-Sağlık Okuryazarlık Düzeylerinin Karşılaştırılması: Sağlık Bilimleri Lisans ve Lisansüstü Öğrencileri Üzerine Bir Araştırma. Bandırma Onyedi Eylül Üniversitesi Sağlık Bilimleri ve Araştırmaları Dergisi 2020;2(3):141 View
  72. 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
  73. Wang C, Qi H. Influencing Factors of Acceptance and Use Behavior of Mobile Health Application Users: Systematic Review. Healthcare 2021;9(3):357 View
  74. Alam M, Alam M, Rahman S, Taghizadeh S. Factors influencing mHealth adoption and its impact on mental well-being during COVID-19 pandemic: A SEM-ANN approach. Journal of Biomedical Informatics 2021;116:103722 View
  75. Korkmaz Aslan G, Kartal A, Turan T, Taşdemir Yiğitoğlu G, Kocakabak C. Association of electronic health literacy with health‐promoting behaviours in adolescents. International Journal of Nursing Practice 2021;27(2) View
  76. Birkmeyer S, Wirtz B, Langer P. Determinants of mHealth success: An empirical investigation of the user perspective. International Journal of Information Management 2021;59:102351 View
  77. Vansimaeys C, Benamar L, Balagué C. Digital health and management of chronic disease: A multimodal technologies typology. The International Journal of Health Planning and Management 2021;36(4):1107 View
  78. You M, Baek E, Kang N. The Influences of Mother’s eHealth Literacy, Health Information Orientation, and Social Support on the Use of Internet on Health Promotion Behaviors for Their Children. Journal of Health Informatics and Statistics 2021;46(2):221 View
  79. Baek Y, Jeong K, Lee S, Kim H, Seo B, Jin H. Feasibility and Effectiveness of Assessing Subhealth Using a Mobile Health Management App (MibyeongBogam) in Early Middle-Aged Koreans: Randomized Controlled Trial. JMIR mHealth and uHealth 2021;9(8):e27455 View
  80. Ahadzadeh A, Wu S, Ong F, Deng R. The Mediating Influence of the Unified Theory of Acceptance and Use of Technology on the Relationship Between Internal Health Locus of Control and Mobile Health Adoption: Cross-sectional Study. Journal of Medical Internet Research 2021;23(12):e28086 View
  81. Fu S, Chen X, Zheng H, Ou M. Understanding health information literacy of mHealth app users from digital wellbeing perspective: Evidence from regression analysis and fsQCA. Library & Information Science Research 2021;43(3):101108 View
  82. Woo H, Kim S. An expansion of the brand and message framing effects on smart health-care clothing. Journal of Product & Brand Management 2022;31(4):622 View
  83. Guo Y, Xiang H, Wang Y. Understanding self-protective behaviors during COVID-19 Pandemic: Integrating the theory of planned behavior and O-S–O-R model. Current Psychology 2024;43(13):12071 View
  84. Elsotouhy M, Ghonim M, Alasker T, Khashan M. Investigating Health and Fitness App Users’ Stickiness, WOM, and Continuance Intention Using S-O-R Model: The Moderating Role of Health Consciousness. International Journal of Human–Computer Interaction 2022:1 View
  85. Yin R, Neyens D. Who is using a mobile app and who is using a computer to access their patient portals?. Proceedings of the Human Factors and Ergonomics Society Annual Meeting 2022;66(1):1569 View
  86. Gunasekara N, Fernando W, Karunarathne E. Online health information-seeking behaviour: an empirical study of managerial-level employees in Sri Lanka. International Journal of Pharmaceutical and Healthcare Marketing 2022;16(4):490 View
  87. Bao H, Lee E. Examining the antecedents and health outcomes of health apps and wearables use: an integration of the technology acceptance model and communication inequality. Behaviour & Information Technology 2024;43(4):695 View
  88. Gulec H, Smahel D. Individual and Parental Factors of Adolescents’ mHealth App Use: Nationally Representative Cross-sectional Study. JMIR mHealth and uHealth 2022;10(12):e40340 View
  89. 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
  90. Ding M, Wang W. Analysis of Factors Influencing We-Intention in Healthcare Applications Based on the AISAS Model. International Journal of Human–Computer Interaction 2024;40(10):2560 View
  91. Bianchi C, Tuzovic S, Kuppelwieser V. Investigating the drivers of wearable technology adoption for healthcare in South America. Information Technology & People 2023;36(2):916 View
  92. Folkvord F, Snelting F, Anschutz D, Hartmann T, Theben A, Gunderson L, Vermeulen I, Lupiáñez-Villanueva F. Effect of Source Type and Protective Message on the Critical Evaluation of News Messages on Facebook: Randomized Controlled Trial in the Netherlands. Journal of Medical Internet Research 2022;24(3):e27945 View
  93. Guo H, Lim H, Chow A. Health Information Orientation Profiles and Their Association with Knowledge of Antibiotic Use in a Population with Good Internet Access: A Cross-Sectional Study. Antibiotics 2022;11(6):769 View
  94. Workman A, Johnston F, Campbell S, Williamson G, Lucani C, Bowman D, Cooling N, Jones P. Evaluating User Preferences, Comprehension, and Trust in Apps for Environmental Health Hazards: Qualitative Case Study. JMIR Formative Research 2022;6(12):e38471 View
  95. Yang J, Kanthawala S, Joo E, Kononova A. Can Brand Sponsorship Increase Download Intention for mHealth Apps? The Role of Issue Relevance, Brand Involvement, and Perceived App Quality. Journal of Promotion Management 2022;28(6):869 View
  96. Scanferla W, Oliveira C, Lousada M, Teixeira L. The Usability and Acceptability of the mHealth “Health and Voice” for Promoting Teachers' Vocal Health. Journal of Voice 2023 View
  97. Tran H, Nguyen M, Pham T, Kim G, Nguyen H, Nguyen N, Dam H, Duong T, Nguyen Y, Do T, Nguyen T, Le T, Do H, Nguyen T, Pham K, Duong T. Predictors of eHealth Literacy and Its Associations with Preventive Behaviors, Fear of COVID-19, Anxiety, and Depression among Undergraduate Nursing Students: A Cross-Sectional Survey. International Journal of Environmental Research and Public Health 2022;19(7):3766 View
  98. Sindhu S. Digital health care services in post COVID-19 scenario: modeling the enabling factors. International Journal of Pharmaceutical and Healthcare Marketing 2022;16(3):412 View
  99. Xinyan Z, Mamun A, Ali M, Siyu L, Yang Q, Hayat N. Modeling the adoption of medical wearable devices among the senior adults: Using hybrid SEM-neural network approach. Frontiers in Public Health 2022;10 View
  100. Sun H, Gu C. Understanding Determinants of End-User’s Continuance Intention on Fitness Wearable Technology. International Journal of Human–Computer Interaction 2024;40(3):537 View
  101. Hanssen N, Linschooten J, van Lieverloo J, Roodenburg A. What Is on the Menu?—A Quantitative Analysis on Label Format among (Potential) Restaurant Guests and Restaurant Owners. International Journal of Environmental Research and Public Health 2021;18(23):12500 View
  102. Jones E, Poyade M, Varsou O. Developing and evaluating a prototype public health mobile app on the UK NHS Abdominal Aortic Aneurysm Screening Programme. Journal of Visual Communication in Medicine 2022;45(3):160 View
  103. Chang I, Shih Y, Kuo K. Why would you use medical chatbots? interview and survey. International Journal of Medical Informatics 2022;165:104827 View
  104. Wang Y, Wen X, Zhu Y, Xiong Y, Liu X. Chinese Residents’ Healthy Eating Intentions and Behaviors: Based on an Extended Health Belief Model. International Journal of Environmental Research and Public Health 2022;19(15):9037 View
  105. Meulenbroek P, Cherney L. Usability and Acceptability of a Computer-Based Social Communication Intervention for Persons with Traumatic Brain Injury: A Mixed-Methods Study. Seminars in Speech and Language 2022;43(03):218 View
  106. Zahed K, Fields S, Sasangohar F. Investigating the Efficacy of Behavioral Models to Predict Use of Health Technology: A Scoping Review. Proceedings of the Human Factors and Ergonomics Society Annual Meeting 2022;66(1):2172 View
  107. Fu S, Fang J, Cai Z, Lim E, Tan C, Yang H. Advancing health-related abilities and behaviors via health apps: a large-scale survey from self-regulation perspective. Internet Research 2022;32(4):1097 View
  108. Yang Q, Al Mamun A, Hayat N, Jingzu G, Hoque M, Salameh A. Modeling the Intention and Adoption of Wearable Fitness Devices: A Study Using SEM-PLS Analysis. Frontiers in Public Health 2022;10 View
  109. Yadav R, Giri A, Chatterjee S. Understanding the users' motivation and barriers in adopting healthcare apps: A mixed-method approach using behavioral reasoning theory. Technological Forecasting and Social Change 2022;183:121932 View
  110. Jiang S, Liu P. Complementary Media Use for Health Information Seeking and the Role of Health Orientation: A Survey Study in India. Journal of Health Communication 2022;27(9):624 View
  111. KARAÇADIR V, SEZGİN A. KAMU İNTERNET VE MOBİL SAĞLIK UYGULAMALARI KULLANIM NİYETİ DEĞİŞKENLERİNİN DEĞERLENDİRİLMESİ. Türkiye Mesleki ve Sosyal Bilimler Dergisi 2022;(9):60 View
  112. Meng F, Guo X, Peng Z, Zhang X, Lai K. Understanding the Antecedents of the Routine Use of Mobile Health Services: A Person–Technology–Health Framework. Frontiers in Psychology 2022;13 View
  113. Nguyen T, Nguyen T, Tran C. Exploring individuals’ adoption of COVID-19 contact-tracing apps: a mixed-methods approach. Library Hi Tech 2022;40(2):376 View
  114. Yeoh R, Kim H, Kang H, Lin Y, Ho A, Ho K. What Determines Intentions to Use Mobile Fitness Apps? The Independent and Joint Influence of Social Norms. International Journal of Human–Computer Interaction 2024;40(2):121 View
  115. François J, Audrain‐Pontevia A, Menvielle L, Chevalier N. Empowering health care consumers in the era of Internet of Things. International Journal of Consumer Studies 2023;47(3):1060 View
  116. Malterud A, Elmira H, Muckerman M, Ahmad A, Freeman L, Weber F, Kueppers G, Wright K. U.S. Immigrants and Mental Health: An Investigation of the Influence of Mental Health Stigma and Discrimination on Stress and Depression and Affordances Associated with Using Online Mental Health Applications and Online Support Groups. Southern Communication Journal 2022;87(3):206 View
  117. Tung C, Chang C, Jian J, Du Y, Wu C. Studying wearable health technology in the workplace using the Behavior Change Wheel: a systematic literature review and content analysis. Informatics for Health and Social Care 2022;47(4):434 View
  118. Rahimi R, Khoundabi B, fathian A. Investigating the effective factors of using mHealth apps for monitoring COVID-19 symptoms and contact tracing: A survey among Iranian citizens. International Journal of Medical Informatics 2021;155:104571 View
  119. ERSİN N. Sağlık Bilinci ve Bilgi İçeriğinin Sağlık Programlarına Yönelik Güvene Etkisi. SELÇUK ÜNİVERSİTESİ İLETİŞİM FAKÜLTESİ AKADEMİK DERGİSİ 2023 View
  120. Huang J, Chan S, Ko S, Tong E, Cheung C, Wong W, Cheung N, Wong M. Associations between adoption of eHealth management module and optimal control of HbA1c in diabetes patients. npj Digital Medicine 2023;6(1) View
  121. Jiwani Z, Tatar R, Dahl C, Wilson-Mendenhall C, Hirshberg M, Davidson R, Goldberg S. Examining equity in access and utilization of a freely available meditation app. npj Mental Health Research 2023;2(1) View
  122. Rahmi R, Handayani P. The influence of users’ perspective factors on mobile banking adoption in Indonesia. Journal of Science and Technology Policy Management 2023 View
  123. Kim K, Lee I. The Influence of Health Information Orientation, E-Health Literacy, and Anxiety on Health Behavior among Parents with School Age Children: Focusing on MERS Prevention Behavior. GSTF Journal of Nursing and Health Care 2016;3(1) View
  124. ÖZTÜRK E, IŞIK S, CAN Z. Determining the Relationship Between e-Health Literacy and Health-Improving and Protective Behaviors in Nursing Students. Halk Sağlığı Hemşireliği Dergisi 2023;5(2):106 View
  125. Milanti A, Chan D, Parut A, So W, Aslam M. Determinants and outcomes of eHealth literacy in healthy adults: A systematic review. PLOS ONE 2023;18(10):e0291229 View
  126. Remr J. Validation of the Health Consciousness Scale among the Czech Population. Healthcare 2023;11(11):1628 View
  127. Bo Y, Liu Q, Tong Y. The Effects of Adopting Mobile Health and Fitness Apps on Hospital Visits: Quasi-Experimental Study. Journal of Medical Internet Research 2023;25:e45681 View
  128. Shamsujjoha M, Grundy J, Khalajzadeh H, Lu Q, Li L. Developer and End-User Perspectives on Addressing Human Aspects in Mobile eHealth Apps. Information and Software Technology 2024;166:107353 View
  129. Kim G, Hwang D, Park J, Kim H, Hwang E. How to Design and Evaluate mHealth Apps? A Case Study of a Mobile Personal Health Record App. Electronics 2024;13(1):213 View
  130. Schroeder T, Haug M, Georgiou A, Seaman K, Gewald H. Evidence of How Physicians and Their Patients Adopt mHealth Apps in Germany: Exploratory Qualitative Study. JMIR mHealth and uHealth 2024;12:e48345 View
  131. Stuber J, Mackenbach J, de Bruijn G, Gillebaart M, Hoenink J, Middel C, de Ridder D, van der Schouw Y, Smit E, Velema E, Vos A, Waterlander W, Lakerveld J, Beulens J, Rutters F, Blom S, de Boer F, Klein M, Broerse J, Schuitmaker-Warnaar T, Sluijs I, Harbers M. Real-world nudging, pricing, and mobile physical activity coaching was insufficient to improve lifestyle behaviours and cardiometabolic health: the Supreme Nudge parallel cluster-randomised controlled supermarket trial. BMC Medicine 2024;22(1) View
  132. Jia Y, Garg A, Shi P. Research on Factors Influencing Hotel Consumers’ Health: A Systematic Review and Ways Forward. Sustainability 2024;16(5):2099 View
  133. Wu M, Wu T, Pei Y. What Drives Health Information Exchange on Social Media? Social Media Affordances and Social Support Perspectives. Health Communication 2024;39(13):3365 View
  134. Zhao B, Huang L, Cheng X, Chen T, Li S, Wang X, Huang S, Hu R, Li H. Digital health literacy and associated factors among internet users from China: a cross-sectional study. BMC Public Health 2024;24(1) View
  135. Takao M, de Souza F, Riccetto L, Evangelista-Poderoso R, Riccetto A, da Silva M. Pediatric allergy and immunology for patients and parents: challenges of developing website and social network during COVID-19 pandemic in Brazil. Revista Paulista de Pediatria 2023;41 View
  136. Schroeder T, Kamalakkannan A, Seaman K, Nguyen A, Siette J, Gewald H, Georgiou A. Perception of middle-aged and older adults towards mHealth apps: A comparative factor analysis between Australia and Germany. International Journal of Medical Informatics 2024;189:105502 View
  137. Cao J, Feng H, Lim Y, Kodama K, Zhang S. How Social Influence Promotes the Adoption of Mobile Health among Young Adults in China: A Systematic Analysis of Trust, Health Consciousness, and User Experience. Behavioral Sciences 2024;14(6):498 View
  138. Li J. The relationship between peer support and sleep quality among Chinese college students: the mediating role of physical exercise atmosphere and the moderating effect of eHealth literacy. Frontiers in Psychology 2024;15 View
  139. Xie L, Mo P. Prospective relationship between Electronic Health Literacy and Health-promoting Lifestyle among Chinese Older Adults: A Three-wave Longitudinal Study. Social Science & Medicine 2024:117166 View

Books/Policy Documents

  1. Kante M, Ndayizigamiye P. Innovation Practices for Digital Transformation in the Global South. View
  2. Özen H, Yaşin B. New Approaches to CSR, Sustainability and Accountability, Volume II. View
  3. Rössler E, Halbach P, Burbach L, Ziefle M, Calero Valdez A. Machine Learning and Knowledge Extraction. View
  4. Matlebjane D, Ndayizigamiye P, Kante M. Innovation Practices for Digital Transformation in the Global South. View
  5. Halvadia N, Bhatt K, Patel H, Halvadia S. Proceedings of World Conference on Information Systems for Business Management. View
  6. Espinosa A, Mulenga L. Handbook of Concepts in Health, Health Behavior and Environmental Health. View