These tools will no longer be maintained as of December 31, 2024. Archived website can be found here. PubMed4Hh GitHub repository can be found here. Contact NLM Customer Service if you have questions.
315 related articles for article (PubMed ID: 33970865)
21. Listening to Communities: Mixed-Method Study of the Engagement of Disadvantaged Mothers and Pregnant Women With Digital Health Technologies. Guendelman S; Broderick A; Mlo H; Gemmill A; Lindeman D J Med Internet Res; 2017 Jul; 19(7):e240. PubMed ID: 28679489 [TBL] [Abstract][Full Text] [Related]
22. 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. Memenga P; Baumann E; Luetke Lanfer H; Reifegerste D; Geulen J; Weber W; Hahne A; Müller A; Weg-Remers S J Med Internet Res; 2023 Aug; 25():e45198. PubMed ID: 37639311 [TBL] [Abstract][Full Text] [Related]
23. Impact of Physician-Patient Communication in Online Health Communities on Patient Compliance: Cross-Sectional Questionnaire Study. Lu X; Zhang R J Med Internet Res; 2019 May; 21(5):e12891. PubMed ID: 31094342 [TBL] [Abstract][Full Text] [Related]
24. Patient Continued Use of Online Health Care Communities: Web Mining of Patient-Doctor Communication. Wu B J Med Internet Res; 2018 Apr; 20(4):e126. PubMed ID: 29661747 [TBL] [Abstract][Full Text] [Related]
25. Social Q&A communities: A multi-factor study of the influence of users' knowledge sharing behaviors. Wen Y; Yuan X; Li W Front Psychol; 2022; 13():967991. PubMed ID: 36248510 [TBL] [Abstract][Full Text] [Related]
26. Adoption of mobile health services using the unified theory of acceptance and use of technology model: Self-efficacy and privacy concerns. Liu Y; Lu X; Zhao G; Li C; Shi J Front Psychol; 2022; 13():944976. PubMed ID: 36033004 [TBL] [Abstract][Full Text] [Related]
27. Willingness to Adopt mHealth Among Chinese Parents During the COVID-19 Outbreak: Cross-sectional Questionnaire Study. Yang S; Chen Y; Zhou L; Huang Y; Dai J JMIR Mhealth Uhealth; 2021 Jan; 9(1):e23155. PubMed ID: 33406052 [TBL] [Abstract][Full Text] [Related]
28. What Factors Affect a User's Intention to Use Fitness Applications? The Moderating Effect of Health Status: A Cross-Sectional Study. Kim B; Lee E Inquiry; 2022; 59():469580221095826. PubMed ID: 35580021 [TBL] [Abstract][Full Text] [Related]
29. Understanding Users' Continuance Usage Behavior Towards Digital Health Information System Driven by the Digital Revolution Under COVID-19 Context: An Extended UTAUT Model. Bai B; Guo Z Psychol Res Behav Manag; 2022; 15():2831-2842. PubMed ID: 36212806 [TBL] [Abstract][Full Text] [Related]
30. Impact of health science popularization videos on user perceived value and continuous usage intention: based on the C-A-C and ECM model framework. Xuan W; Phongsatha T; Hao L; Tian K Front Public Health; 2024; 12():1382687. PubMed ID: 39011330 [TBL] [Abstract][Full Text] [Related]
31. Analyzing older users' home telehealth services acceptance behavior-applying an Extended UTAUT model. Cimperman M; Makovec Brenčič M; Trkman P Int J Med Inform; 2016 Jun; 90():22-31. PubMed ID: 27103194 [TBL] [Abstract][Full Text] [Related]
32. Effectiveness of Interactive Tools in Online Health Care Communities: Social Exchange Theory Perspective. Ren D; Ma B J Med Internet Res; 2021 Mar; 23(3):e21892. PubMed ID: 33709940 [TBL] [Abstract][Full Text] [Related]
33. Influencing Factors on College Students' Willingness to Spread Internet Public Opinion: Analysis Based on COVID-19 Data in China. Ye P; Liu L; Tan J Front Public Health; 2022; 10():772833. PubMed ID: 35252082 [TBL] [Abstract][Full Text] [Related]
34. Increasing Bike-Sharing Users' Willingness to Pay - A Study of China Based on Perceived Value Theory and Structural Equation Model. Song H; Yin G; Wan X; Guo M; Xie Z; Gu J Front Psychol; 2021; 12():747462. PubMed ID: 35115981 [TBL] [Abstract][Full Text] [Related]
35. Adoption of telemedicine applications among Saudi citizens during COVID-19 pandemic: An alternative health delivery system. Yamin MAY; Alyoubi BA J Infect Public Health; 2020 Dec; 13(12):1845-1855. PubMed ID: 33172819 [TBL] [Abstract][Full Text] [Related]
36. Acceptance of clinical decision support system to prevent venous thromboembolism among nurses: an extension of the UTAUT model. Zha H; Liu K; Tang T; Yin YH; Dou B; Jiang L; Yan H; Tian X; Wang R; Xie W BMC Med Inform Decis Mak; 2022 Aug; 22(1):221. PubMed ID: 35986284 [TBL] [Abstract][Full Text] [Related]
37. Gaming with health misinformation: a social capital-based study of corrective information sharing factors in social media. Feng B Front Public Health; 2024; 12():1351820. PubMed ID: 38699427 [TBL] [Abstract][Full Text] [Related]
38. Exploring the factors that influence the decision to adopt and engage with an integrated assistive telehealth and telecare service in Cambridgeshire, UK: a nested qualitative study of patient 'users' and 'non-users'. Cook EJ; Randhawa G; Sharp C; Ali N; Guppy A; Barton G; Bateman A; Crawford-White J BMC Health Serv Res; 2016 Apr; 16():137. PubMed ID: 27095102 [TBL] [Abstract][Full Text] [Related]
39. Ill Literates or Illiterates? Investigating the eHealth Literacy of Users of Online Health Communities. Petrič G; Atanasova S; Kamin T J Med Internet Res; 2017 Oct; 19(10):e331. PubMed ID: 28978496 [TBL] [Abstract][Full Text] [Related]
40. Effects of Internet Hospital Consultations on Psychological Burdens and Disease Knowledge During the Early Outbreak of COVID-19 in China: Cross-Sectional Survey Study. Li L; Liu G; Xu W; Zhang Y; He M J Med Internet Res; 2020 Aug; 22(8):e19551. PubMed ID: 32687061 [TBL] [Abstract][Full Text] [Related] [Previous] [Next] [New Search]