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

Participatory Medicine & E-Patients (758)

Published on in Vol 14, No 5 (2012): Sep-Oct

Development of a Health Information Technology Acceptance Model Using Consumers’ Health Behavior Intention

Development of a Health Information Technology Acceptance Model Using Consumers’ Health Behavior Intention

Development of a Health Information Technology Acceptance Model Using Consumers’ Health Behavior Intention

Authors of this article:

Jeongeun Kim1, 2, 3 ;   Hyeoun-Ae Park1, 2, 3 Author Orcid Image
Article Authors Cited by (272) Tweetations (11) Metrics

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  132. Kim B, Hong S, Kim S. Introducing an Integrated Model of Adults’ Wearable Activity Tracker Use and Obesity Information–Seeking Behaviors From a National Quota Sample Survey. JMIR Formative Research 2021;5(9):e23237 View
  133. Cho Y, Zhang H, Harris M, Gong Y, Smith E, Jiang Y. Acceptance and Use of Home-Based Electronic Symptom Self-Reporting Systems in Patients With Cancer: Systematic Review. Journal of Medical Internet Research 2021;23(3):e24638 View
  134. Pan M, Gao W. Determinants of the behavioral intention to use a mobile nursing application by nurses in China. BMC Health Services Research 2021;21(1) View
  135. Tsai W, Wu Y, Cheng C, Kuo M, Chang Y, Hu F, Sun C, Chang C, Chan T, Chen C, Lee C, Chu C. A Technology Acceptance Model for Deploying Masks to Combat the COVID-19 Pandemic in Taiwan (My Health Bank): Web-Based Cross-sectional Survey Study. Journal of Medical Internet Research 2021;23(4):e27069 View
  136. Jeong G, Choi H. Health Information-seeking Behaviors: A Review of National Survey Instruments (Preprint). Journal of Medical Internet Research 2021 View
  137. Liu L, Shi L. Does the ownership of health website matter? A cross-sectional study on Chinese consumer behavior. International Journal of Medical Informatics 2021;152:104485 View
  138. Khorram-Manesh A, Dulebenets M, Goniewicz K. Implementing Public Health Strategies—The Need for Educational Initiatives: A Systematic Review. International Journal of Environmental Research and Public Health 2021;18(11):5888 View
  139. Palos-Sanchez P, Saura J, Rios Martin M, Aguayo-Camacho M. Toward a Better Understanding of the Intention to Use mHealth Apps: Exploratory Study. JMIR mHealth and uHealth 2021;9(9):e27021 View
  140. Moqbel M, Hewitt B, Nah F, McLean R. Sustaining Patient Portal Continuous Use Intention and Enhancing Deep Structure Usage: Cognitive Dissonance Effects of Health Professional Encouragement and Security Concerns. Information Systems Frontiers 2022;24(5):1483 View
  141. Park H, Kim K, Chung H, Jeong S, Soh J, Hyun Y, Kim H. A worker-centered personal health record app for workplace health promotion using national healthcare datasets: A design and development study (Preprint). JMIR Medical Informatics 2021 View
  142. Alsaad A, Al-Okaily M. Acceptance of protection technology in a time of fear: the case of Covid-19 exposure detection apps. Information Technology & People 2022;35(3):1116 View
  143. 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
  144. Walling B, Totzkay D, Silk K, Boumis J, Thomas B, Smith S. Evaluating the Feasibility of Continuing Medical Education for Disseminating Emerging Science on the Breast Cancer and Environment Connection. Journal of Health Communication 2021:1 View
  145. Kirkscey R. Development and Patient User Experience Evaluation of an mHealth Informational App for Osteoporosis. International Journal of Human–Computer Interaction 2022;38(8):707 View
  146. Cheung Y, Lam P, Lam T, Lam H, Li C. Technology Acceptance Among Patients With Hemophilia in Hong Kong and Their Expectations of a Mobile Health App to Promote Self-management: Survey Study. JMIR Formative Research 2021;5(9):e27985 View
  147. Kallmerten P, Chia L, Jakub K, Turk M. Patient Portal Use by Adults With Heart Failure. CIN: Computers, Informatics, Nursing 2021;39(8):418 View
  148. Wan Mamat W, Jarrett N, Lund S. An Exploration of Family Members’ Roles in the Context of Breast Cancer: A Narrative Study in Malaysia. Malaysian Journal of Medicine and Health Sciences 2022;18(6):14 View
  149. Peng R. How online searches fuel health anxiety: Investigating the link between health-related searches, health anxiety, and future intention. Computers in Human Behavior 2022;136:107384 View
  150. Liu T, Lin T, Hsu S. Continuance Usage Intention toward E-Payment during the COVID-19 Pandemic from the Financial Sustainable Development Perspective Using Perceived Usefulness and Electronic Word of Mouth as Mediators. Sustainability 2022;14(13):7775 View
  151. Van Rhoon L, McSharry J, Byrne M. Development and testing of a digital health acceptability model to explain the intention to use a digital diabetes prevention programme. British Journal of Health Psychology 2022;27(3):716 View
  152. Puspitasari I, Syahputra E, Raharjana I, Jie F. The Continuance Intention of User’s Engagement in Multiplayer Video Games based on Uses and Gratifications Theory. Journal of Information Systems Engineering and Business Intelligence 2018;4(2):131 View
  153. Rehman I, Ahmad A, Akhter F, Aljarallah A. A Dual-Stage SEM-ANN Analysis to Explore Consumer Adoption of Smart Wearable Healthcare Devices. Journal of Global Information Management 2022;29(6):1 View
  154. Post E, Faurot K, Kadro Z, Hill J, Nguyen C, Asher G, Gaylord S, Corbett A. Patient Perspectives on the Development of a Novel Mobile Health (mHealth) Application for Dietary Supplement Tracking and Reconciliation—A Qualitative Focus Group Study. Global Advances in Health and Medicine 2022;11:216495612210752 View
  155. Abumalloh R, Asadi S, Nilashi M, Minaei-Bidgoli B, Nayer F, Samad S, Mohd S, Ibrahim O. The impact of coronavirus pandemic (COVID-19) on education: The role of virtual and remote laboratories in education. Technology in Society 2021;67:101728 View
  156. Ning C, Guo D, Wu J, Gao H. Media Exposure and Media Credibility Influencing Public Intentions for Influenza Vaccination. Vaccines 2022;10(4):526 View
  157. Röbbelen A, Schmieding M, Kopka M, Balzer F, Feufel M. Interactive Versus Static Decision Support Tools for COVID-19: Randomized Controlled Trial. JMIR Public Health and Surveillance 2022;8(4):e33733 View
  158. Tetri B, Juujärvi S. Self-Efficacy, Internet Self-Efficacy, and Proxy Efficacy as Predictors of the Use of Digital Social and Health Care Services Among Mental Health Service Users in Finland: A Cross-Sectional Study. Psychology Research and Behavior Management 2022;Volume 15:291 View
  159. Ramasawmy M, Poole L, Thorlu-Bangura Z, Chauhan A, Murali M, Jagpal P, Bijral M, Prashar J, G-Medhin A, Murray E, Stevenson F, Blandford A, Potts H, Khunti K, Hanif W, Gill P, Sajid M, Patel K, Sood H, Bhala N, Modha S, Mistry M, Patel V, Ali S, Ala A, Banerjee A. Frameworks for Implementation, Uptake, and Use of Cardiometabolic Disease–Related Digital Health Interventions in Ethnic Minority Populations: Scoping Review. JMIR Cardio 2022;6(2):e37360 View
  160. Soleymani M, Esmaeilzadeh M, Taghipour F, Ashrafi‐rizi H. COVID‐19 information seeking needs and behaviour among citizens in Isfahan, Iran: A qualitative study. Health Information & Libraries Journal 2023;40(4):359 View
  161. Huang H, Chen Z, Cao S, Xiao M, Xie L, Zhao Q. Adoption Intention and Factors Influencing the Use of Gerontechnology in Chinese Community-Dwelling Older Adults: A Mixed-Methods Study. Frontiers in Public Health 2021;9 View
  162. 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
  163. Pit S, Ramsden R, Tan A, Payne K, Barr J, Eames B, Edwards M, Colbran R. Persuasive Design Techniques and App Design Recommendations to Improve Health Workforce Capability in Rural Health Professionals: What Do Users Want and How Does an App Help?. JMIR Human Factors 2022;9(2):e35094 View
  164. Huang S, Huang J, Deng X, Ouyang L, He G, Sun J. Attitude and Needs Toward MTM Applications of Chronic Disease in China: A Questionnaire Survey. Frontiers in Public Health 2022;10 View
  165. Berninger N, Crutzen R, Ruiter R, Kok G, Plasqui G, ten Hoor G. Moderators of the Effectiveness of UPcomplish on Office Workers’ Sedentary Behaviour, Quality of Life, and Psychosocial Determinants: A Stepped Wedge Design. International Journal of Behavioral Medicine 2023;30(6):849 View
  166. Attie E, Meyer-Waarden L. How Do You Sleep? The Impact of Sleep Apps on Generation Z's Well-Being. Journal of Interactive Marketing 2023;58(2-3):222 View
  167. Huang Z, Guo H, Lim H, Chow A. Determinants of the acceptance and adoption of a digital contact tracing tool during the COVID-19 pandemic in Singapore. Epidemiology and Infection 2022;150 View
  168. Drabarek D, Habgood E, Janda M, Hersch J, Ackermann D, Low D, Low C, Morton R, Dieng M, Cust A, Morgan A, Smith E, Bell K. Experiences of Patient-Led Surveillance, Including Patient-Performed Teledermoscopy, in the MEL-SELF Pilot Randomized Controlled Trial: Qualitative Interview Study. JMIR Dermatology 2022;5(3):e35916 View
  169. Ajina A, Javed H, Ali S, Zamil A. Are men from mars, women from venus? Examining gender differences of consumers towards mobile-wallet adoption during pandemic. Cogent Business & Management 2023;10(1) View
  170. Richardson J, Curtis S, Smith C, Pacyna J, Zhu X, Barry B, Sharp R. A framework for examining patient attitudes regarding applications of artificial intelligence in healthcare. DIGITAL HEALTH 2022;8:205520762210890 View
  171. AlQudah A, Al-Emran M, Shaalan K. Technology Acceptance in Healthcare: A Systematic Review. Applied Sciences 2021;11(22):10537 View
  172. 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
  173. Yi-No Kang E, Chen D, Chen Y. Associations between literacy and attitudes toward artificial intelligence–assisted medical consultations: The mediating role of perceived distrust and efficiency of artificial intelligence. Computers in Human Behavior 2023;139:107529 View
  174. Ramsden R, Pit S, Colbran R, Payne K, Tan A, Edwards M. Development of a framework to promote rural health workforce capability through digital solutions: A qualitative study of user perspectives. DIGITAL HEALTH 2022;8:205520762210890 View
  175. Susanty S, Sarasmita M, Sudarma I, Azissah D, Suyanto J, Kamil S, Budiman B, Suharjiman S. Animated video development COVID-19 prevention and management for anxiety among older adults in Indonesia. Geriatric Nursing 2023;49:13 View
  176. Yang Q, Al Mamun A, Hayat N, Md. Salleh M, Salameh A, Makhbul Z. Predicting the Mass Adoption of eDoctor Apps During COVID-19 in China Using Hybrid SEM-Neural Network Analysis. Frontiers in Public Health 2022;10 View
  177. Bizzotto N, Marciano L, de Bruijn G, Schulz P. The Empowering Role of Web-Based Help Seeking on Depressive Symptoms: Systematic Review and Meta-analysis. Journal of Medical Internet Research 2023;25:e36964 View
  178. Meddar J, Ponnapalli A, Azhar R, Turchioe M, Duran A, Creber R. A Structured Review of Commercially Available Cardiac Rehabilitation mHealth Applications Using the Mobile Application Rating Scale. Journal of Cardiopulmonary Rehabilitation and Prevention 2022;42(3):141 View
  179. Berninger N, Plasqui G, Crutzen R, Ruiter R, Kok G, Ten Hoor G. The Effects of UPcomplish on Office Workers’ Sedentary Behaviour, Quality of Life and Psychosocial Determinants: A Stepped-Wedge Design. International Journal of Behavioral Medicine 2022;29(6):728 View
  180. Lim T, Lim B, Leong C, Phang I, Foong W. Consumer adoption of on‐demand digital platforms: An integrated model. Global Business and Organizational Excellence 2023;42(6):75 View
  181. Phagdol T, Nayak B, Lewis L, Margaret B, George A. Designing a mobile health intervention for preterm home care: Application of conceptual framework. Public Health Nursing 2022;39(1):296 View
  182. Sobon M. E-health information as a support of health information technology systems – patients attitudes. Procedia Computer Science 2022;207:1723 View
  183. KARAÇADIR V, SEZGİN A. KAMU İNTERNET VE MOBİL SAĞLIK UYGULAMALARI KULLANIM NİYETİ DEĞİŞKENLERİNİN DEĞERLENDİRİLMESİ. Türkiye Mesleki ve Sosyal Bilimler Dergisi 2022;(9):60 View
  184. Harakeh Z, Van Keulen H, Hogenelst K, Otten W, De Hoogh I, Van Empelen P. Predictors of the Acceptance of an Electronic Coach Targeting Self-management of Patients With Type 2 Diabetes: Web-Based Survey. JMIR Formative Research 2022;6(8):e34737 View
  185. Ogundipe A, Sim T, Emmerton L. Health information communication technology evaluation frameworks for pharmacist prescribing: A systematic scoping review. Research in Social and Administrative Pharmacy 2023;19(2):218 View
  186. Junker M, Böhm M, Franz M, Fritsch T, Krcmar H. Value of normative belief in intention to use workplace health promotion apps. BMC Medical Informatics and Decision Making 2022;22(1) View
  187. Schröder T, Gewald H, Weeger A. A research model to explain acceptance of speech therapy devices by senior aphasia patients. Procedia Computer Science 2022;198:287 View
  188. Mackey R, Gleason A, Ciulla R. A Novel Method for Evaluating Mobile Apps (App Rating Inventory): Development Study. JMIR mHealth and uHealth 2022;10(4):e32643 View
  189. Ly H, Khuong N, Son T. DETERMINANTS AFFECT MOBILE WALLET CONTINUOUS USAGE IN COVID 19 PANDEMIC: EVIDENCE FROM VIETNAM. Cogent Business & Management 2022;9(1) View
  190. Viana Pereira F, Tavares J, Oliveira T. Adoption of video consultations during the COVID-19 pandemic. Internet Interventions 2023;31:100602 View
  191. Pit S, Tan A, Ramsden R, Payne K, Freihaut W, Hayes O, Eames B, Edwards M, Colbran R. Persuasive Design Solutions for a Sustainable Workforce: Review of Persuasive Apps for Real-Time Capability Support for Rural Health Care Professionals. JMIR mHealth and uHealth 2022;10(2):e33413 View
  192. Pepper C, Reyes-Cruz G, Pena A, Dowthwaite L, Babbage C, Wagner H, Nichele E, Fischer J. Understanding Trust and Changes in Use After a Year With the NHS COVID-19 Contact Tracing App in the United Kingdom: Longitudinal Mixed Methods Study. Journal of Medical Internet Research 2022;24(10):e40558 View
  193. Krisdina S, Dwi Nurhayati O, Mutiara Kusumo Nugraheni D, Warsito B, Sutiningsih D, Muhammad F. Hybrid Model Based on Technology Acceptance Model (TAM) & Information System Success Model (ISSM) in Analyzing the Use of E-Health. E3S Web of Conferences 2022;359:05003 View
  194. Czerwińska M, Bojar E. Model akceptacji internetowych informacji zdrowotnych przez przedstawicieli pokolenia Z - wyniki badań pilotażowych. Przegląd Organizacji 2021:31 View
  195. Wang Z, Jiang Q, Li Z. How to Promote Online Education through Educational Software—An Analytical Study of Factor Analysis and Structural Equation Modeling with Chinese Users as an Example. Systems 2022;10(4):100 View
  196. Baer N, Vietzke J, Schenk L, Jutai J. Middle-aged and older adults’ acceptance of mobile nutrition and fitness apps: A systematic mixed studies review. PLOS ONE 2022;17(12):e0278879 View
  197. Silva G, Dias Á, Rodrigues M. Continuity of Use of Food Delivery Apps: An Integrated Approach to the Health Belief Model and the Technology Readiness and Acceptance Model. Journal of Open Innovation: Technology, Market, and Complexity 2022;8(3):114 View
  198. Choi W, Chang S, Yang Y, Jung S, Lee S, Chun J, Kim D, Lee W, Choi I. Study of the factors influencing the use of MyData platform based on personal health record data sharing system. BMC Medical Informatics and Decision Making 2022;22(1) View
  199. Yang T, Huang C, An C, Weng L. Construction and evaluation of a 360 degrees panoramic video on the physical examination of nursing students. Nurse Education in Practice 2022;63:103372 View
  200. Liu Y, Lu X, Zhao G, Li C, Shi J. Adoption of mobile health services using the unified theory of acceptance and use of technology model: Self-efficacy and privacy concerns. Frontiers in Psychology 2022;13 View
  201. Mendez K, Budhathoki C, Labrique A, Sadak T, Tanner E, Han H. Factors Associated With Intention to Adopt mHealth Apps Among Dementia Caregivers With a Chronic Condition: Cross-sectional, Correlational Study. JMIR mHealth and uHealth 2021;9(8):e27926 View
  202. Arslan Y, Turan A. Consumers' Acceptance of Online Grocery Shopping in a Pandemic Situation: An Extended Technology Acceptance Model Perspective. European Journal of Business Science and Technology 2022;8(2):143 View
  203. Neal W, Richardson E, Motl R. Informing the development of a mobile application for the physical activity guidelines in multiple sclerosis: a qualitative, pluralistic approach. Disability and Rehabilitation: Assistive Technology 2024;19(4):1161 View
  204. Randall W, Sinha V, Prybutok V. An exploration of the antecedent to increase society’s use of predictive models: Trust in science or predictive models. Decision Analytics Journal 2022;4:100095 View
  205. McGee-Vincent P, Mackintosh M, Jamison A, Juhasz K, Becket-Davenport C, Bosch J, Avery T, Glamb L, Hampole S. Training Staff Across the Veterans Affairs Health Care System to Use Mobile Mental Health Apps: A National Quality Improvement Project. JMIR Mental Health 2023;10:e41773 View
  206. Hughes (née Richardson) B, Benoit B, Rutledge K, Dol J, Martin-Misener R, Latimer M, Smit M, McGrath P, Campbell-Yeo M. Impact of parent-targeted eHealth educational interventions on infant procedural pain management: a systematic review. JBI Evidence Synthesis 2023;21(4):669 View
  207. Sassenberg K, Roesel I, Sudeck G, Bernecker K, Durst J, Krauss I. The Relation of Attitude Toward Technology and Mastery Experience After an App-Guided Physical Exercise Intervention: Randomized Crossover Trial. JMIR Formative Research 2022;6(2):e28913 View
  208. Aguilar-Latorre A, Pérez Algorta G, Navarro-Guzmán C, Serrano-Ripoll M, Oliván-Blázquez B. Effectiveness of a lifestyle modification programme in the treatment of depression symptoms in primary care. Frontiers in Medicine 2022;9 View
  209. Aldousari E. Bibliometric analysis confirms expected trends in consumer health information publications. Health Information & Libraries Journal 2021 View
  210. Sabbir M, Taufique K, Nomi M. Telemedicine acceptance during the COVID-19 pandemic: User satisfaction and strategic healthcare marketing considerations. Health Marketing Quarterly 2021;38(2-3):168 View
  211. Ali M, Raza S, Puah C, Mubarik M. Customer acceptance toward Islamic personal financing in Pakistan. Journal of Financial Services Marketing 2023;28(2):270 View
  212. Viecelli A, Duncanson E, Bennett P, D’Antoine M, Dansie K, Handke W, Tong A, Palmer S, Jesudason S, McDonald S, Morton R, Jose M, Brown C, Laranjo L, Caskey F, Couchoud C, Johnson D, Harris D, Walker R, Coiera E, Hawley C, Simes R. Perspectives of Patients, Nurses, and Nephrologists About Electronic Symptom Monitoring With Feedback in Hemodialysis Care. American Journal of Kidney Diseases 2022;80(2):215 View
  213. Chen J, Hsu P, Chang Y, Shiau W, Lan Y. For free or paid? A comparison of doctors' intention to offer consulting services in eHealth. Industrial Management & Data Systems 2022;122(8):1816 View
  214. 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
  215. Zamil A, Ali S, Poulova P, Akbar M. An ounce of prevention or a pound of cure? Multi-level modelling on the antecedents of mobile-wallet adoption and the moderating role of e-WoM during COVID-19. Frontiers in Psychology 2022;13 View
  216. Saima F, Rahman M, Ghosh R. MFS usage intention during COVID-19 and beyond: an integration of health belief and expectation confirmation model. Journal of Economic and Administrative Sciences 2024;40(2):182 View
  217. Ha J, Park J, Lee S, Lee J, Choi J, Kim J, Cho S, Jeon G. Predicting Habitual Use of Wearable Health Devices Among Middle-aged Individuals With Metabolic Syndrome Risk Factors in South Korea: Cross-sectional Study. JMIR Formative Research 2023;7:e42087 View
  218. Akintunde T. Maternal perceived self-efficacy, perceived vulnerability and child health outcome in Ibadan, South-West Nigeria. Global Health Journal 2023;7(2):94 View
  219. Debeuf R, Fobelets M, Vaneyghen J, Naets B, Minnaert B, De Wachter E, Lambrechts R, Beckwée D, Jansen B, Middag C, Swinnen E. Healthcare professionals’ perspectives on development of assistive technology using the comprehensive assistive technology model. Assistive Technology 2024;36(1):51 View
  220. Khuong N, Ly H, Anh L. Accrual-based, real activities earnings management and corporate social responsibility: A virtuous circle? emerging market evidence. Cogent Economics & Finance 2023;11(1) View
  221. Priyansyah R, Fuady I, Pratamawaty B. Factors influencing acceptance of Indonesian contact tracing APP: Development of the technology acceptance model. Human Technology 2023;19(2):262 View
  222. Labarta J, Dimitri P, Keiser M, Koledova E, Rivera-Romero O. Evaluating the Usefulness and Ease of Use of a Next-Generation–Connected Drug Delivery Device for Growth Hormone Therapy: Qualitative Study of Health Care Professionals’ Perceptions. JMIR Human Factors 2023;10:e46893 View
  223. Sze W, Kow S. Perspectives and Needs of Malaysian Patients With Diabetes for a Mobile Health App Support on Self-Management of Diabetes: Qualitative Study. JMIR Diabetes 2023;8:e40968 View
  224. Sutcliffe A, Bencomo N, Darby A, Paucar L, Sawyer P. To download or not to download the Covid-19 Track and Trace App? What is more influential in users’ minds?. International Journal of Human-Computer Studies 2023;180:103140 View
  225. Memenga P, Baumann E, Luetke Lanfer H, Reifegerste D, Geulen J, Weber W, Hahne A, Müller A, Weg-Remers S. Intentions of Patients With Cancer and Their Relatives to Use a Live Chat on Familial Cancer Risk: Results From a Cross-Sectional Web-Based Survey. Journal of Medical Internet Research 2023;25:e45198 View
  226. Medich M, Cannedy S, Hoffmann L, Chinchilla M, Pila J, Chassman S, Calderon R, Young A. Clinician and Patient Perspectives on the Use of Passive Mobile Monitoring and Self-Tracking for Patients With Serious Mental Illness: User-Centered Approach. JMIR Human Factors 2023;10:e46909 View
  227. Pienkowska A, Ang C, Mammadova M, Mahadzir M, Car J. A Diabetes Education App for People Living With Type 2 Diabetes: Co-Design Study. JMIR Formative Research 2023;7:e45490 View
  228. Tobi S, Abdullah M, Pyeman J, Anuar A, Saadun S, Kadang H. Perceived Technology Acceptance and Software Engineering Factors Towards Intention to Use Web-based Health Information Service (WBHIS). Journal of Health Management 2023 View
  229. Mahoney C, Hoyle L, Van Splunter C, Kyle R. Wearable activity trackers for nurses' health: A qualitative acceptability study. Nursing Open 2023;10(9):6357 View
  230. Nadal C, Earley C, Enrique A, Sas C, Richards D, Doherty G. Patient Acceptance of Self-Monitoring on a Smartwatch in a Routine Digital Therapy: A Mixed-Methods Study. ACM Transactions on Computer-Human Interaction 2024;31(1):1 View
  231. Sreelakshmi C, Prathap S. Effect of COVID-19 health threat on consumer’s perceived value towards mobile payments in India: a means-end model. Journal of Financial Services Marketing 2023 View
  232. Ilkic J, Milosevic Georgiev A, Lakic D, Marinkovic V. Exploring experiences of pharmacists and pharmacy students using mHealth apps: A qualitative study of user experience. International Journal of Qualitative Studies on Health and Well-being 2023;18(1) View
  233. 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
  234. Aranha M, Shemie J, James K, Deasy C, Heavin C. Behavioural intention of mobile health adoption: A study of older adults presenting to the emergency department. Smart Health 2024;31:100435 View
  235. Schröder S, Buntrock C, Neumann L, Müller J, Fromberger P. Acceptance of a Web-Based Intervention in Individuals Who Committed Sexual Offenses Against Children: Cross-Sectional Study. JMIR Formative Research 2024;8:e48880 View
  236. De G, Sondhi N, Bhattacharjee A, Joshi H. Preventive healthcare behavior: A hybrid systematic literature review (1998–2023). International Journal of Consumer Studies 2024;48(1) View
  237. Tan M, Kang G, Fong R, Cheong N, Shi H, Tan N. Patients’ perspectives on video consultation for non-communicable diseases: a qualitative study in Singapore. BJGP Open 2023;7(4):BJGPO.2023.0103 View
  238. Jardine J, Nadal C, Robinson S, Enrique A, Hanratty M, Doherty G. Between Rhetoric and Reality: Real-world Barriers to Uptake and Early Engagement in Digital Mental Health Interventions. ACM Transactions on Computer-Human Interaction 2024;31(2):1 View
  239. Reina A, Beer J, Renzi-Hammond L, Zhang D, Padilla H. Mind Your Heart: A Mindful Eating and Diet Education eHealth Program. Journal of Nutrition Education and Behavior 2024;56(1):54 View
  240. Daniels B, McGinnis C, Topaz L, Greenwald P, Turchioe M, Creber R, Sharma R. Bridging the digital health divide—patient experiences with mobile integrated health and facilitated telehealth by community-level indicators of health disparity. Journal of the American Medical Informatics Association 2024;31(4):875 View
  241. Wang X, Wuji S, Liu Y, Luo R, Qiu C. Study on the impact of recommendation algorithms on user perceived stress and health management behaviour in short video platforms. Information Processing & Management 2024;61(3):103674 View
  242. Chen B, Chang Y, Wang B, Zou J, Tu S. Technology acceptance model perspective on the intention to participate in medical talents training in China. Heliyon 2024;10(4):e26206 View
  243. Jorbonyan A, Abolfathi Momtaz Y, Foroughan M, Mehrkian S. Determinants of Continuance Intention to Use Hearing Aids among Older Adults in Tehran (Iran). Healthcare 2024;12(4):487 View
  244. Woon L, Maguire P, Reay R, Looi J. Telepsychiatry in Australia: A Scoping Review. INQUIRY: The Journal of Health Care Organization, Provision, and Financing 2024;61 View
  245. Aldekhyyel R, Alshuaibi F, Alsaaid O, Bin Moammar F, Alanazy T, Namshah A, Altassan K, Aldekhyyel R, Jamal A. Exploring behavioral intention to use telemedicine services post COVID-19: a cross sectional study in Saudi Arabia. Frontiers in Public Health 2024;12 View
  246. Nabelsi V, Lévesque-Chouinard A. Successful Electronic Consultation Service Initiative in Quebec, Canada With Primary Care Physicians’ and Specialists’ Experiences on Acceptance and Use of Technological Innovation: Cross-Sectional Exploratory Study. JMIR Formative Research 2024;8:e52921 View
  247. Kolotylo-Kulkarni M, Marakas G, Xia W. Understanding protective behavior and vaccination adoption among US individuals during the COVID-19 pandemic: A four-wave longitudinal study. Journal of Business Research 2024;179:114649 View
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  251. 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 2024:105537 View

Books/Policy Documents

  1. Chen H, Levkoff S. Human Aspects of IT for the Aged Population. Design for Everyday Life. View
  2. Šmahel D, Macháčková H, Šmahelová M, Čevelíček M, Almenara C, Holubčíková J. Digital Technology, Eating Behaviors, and Eating Disorders. View
  3. Boontarig W, Papasratorn B, Chutimaskul W. Technology Adoption and Social Issues. View
  4. Kuika Watat J, Moukoko Mbonjo M. Re-imagining Diffusion and Adoption of Information Technology and Systems: A Continuing Conversation. View
  5. Zhu Y, Sun S. Digital Health and Medical Analytics. View
  6. AlQudah A, Salloum S, Shaalan K. Emerging Technologies During the Era of COVID-19 Pandemic. View
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