Published on in Vol 15, No 7 (2013): July

Internet Use Frequency and Patient-Centered Care: Measuring Patient Preferences for Participation Using the Health Information Wants Questionnaire

Internet Use Frequency and Patient-Centered Care: Measuring Patient Preferences for Participation Using the Health Information Wants Questionnaire

Internet Use Frequency and Patient-Centered Care: Measuring Patient Preferences for Participation Using the Health Information Wants Questionnaire

Authors of this article:

Bo Xie 1 ;   Mo Wang 2 ;   Robert Feldman 3 ;   Le Zhou 2

Journals

  1. Bashshur R, Howell J, Krupinski E, Harms K, Bashshur N, Doarn C. The Empirical Foundations of Telemedicine Interventions in Primary Care. Telemedicine and e-Health 2016;22(5):342 View
  2. Fischer S, David D, Crotty B, Dierks M, Safran C. Acceptance and use of health information technology by community-dwelling elders. International Journal of Medical Informatics 2014;83(9):624 View
  3. Pinto M. Social media's contribution to customer satisfaction with services. The Service Industries Journal 2015;35(11-12):573 View
  4. Franklin N, Arena R. Personalized Weight Management Interventions for Cardiovascular Risk Reduction: A Viable Option for African-American Women. Progress in Cardiovascular Diseases 2016;58(6):595 View
  5. Franklin N. Technology to Promote and Increase Physical Activity in Heart Failure. Heart Failure Clinics 2015;11(1):173 View
  6. Boogerd E, Maas-van Schaaijk N, Noordam C, Marks H, Verhaak C. Parents' experiences, needs, and preferences in pediatric diabetes care: Suggestions for improvement of care and the possible role of the Internet. A qualitative study. Journal for Specialists in Pediatric Nursing 2015;20(3):218 View
  7. Wakefield B, Turvey C, Nazi K, Holman J, Hogan T, Shimada S, Kennedy D. Psychometric Properties of Patient-Facing eHealth Evaluation Measures: Systematic Review and Analysis. Journal of Medical Internet Research 2017;19(10):e346 View
  8. Eenbergen M, Vromans R, Boll D, Kil P, Vos C, Krahmer E, Mols F, Poll‐Franse L. Changes in internet use and wishes of cancer survivors: A comparison between 2005 and 2017. Cancer 2020;126(2):408 View
  9. West S, Kornhaber R, Visentin D, Thapa D, Cleary M. The role of the health professional supporting consumers who use ‘Dr Google’. Journal of Advanced Nursing 2020;76(9):2217 View
  10. Wu V, Smith A, Girgis A. The unmet supportive care needs of Chinese patients and caregivers affected by cancer: A systematic review. European Journal of Cancer Care 2020 View
  11. Ohana S, Barnoy S. Israeli E-patientsʼ Informational Needs. Nursing Outlook 2019;67(2):190 View
  12. Xie B, Zhou L, Yoder L, Johnson K, Garcia A, Kim M. Ebola-Related Health Information Wanted and Obtained by Nurses and Public Health Department Employees: Effects of Formal and Informal Communication Channels. Disaster Medicine and Public Health Preparedness 2020;14(3):312 View
  13. Agree E, King A, Castro C, Wiley A, Borzekowski D. “It’s Got to Be on This Page”: Age and Cognitive Style in a Study of Online Health Information Seeking. Journal of Medical Internet Research 2015;17(3):e79 View
  14. Wang K, Wan M, Wang R, Weng Z. Opportunities for Web-based Drug Repositioning: Searching for Potential Antihypertensive Agents with Hypotension Adverse Events. Journal of Medical Internet Research 2016;18(4):e76 View
  15. Sharma V, Holmes J, Sarkar I. Identifying Complementary and Alternative Medicine Usage Information from Internet Resources. Methods of Information in Medicine 2016;55(04):322 View
  16. Eriksson K, Wikström L, Fridlund B, Årestedt K, Broström A. Patients’ experiences and actions when describing pain after surgery – A critical incident technique analysis. International Journal of Nursing Studies 2016;56:27 View
  17. Xie B, Champion J, Kwak J, Fleischmann K. Mobile Health, Information Preferences, and Surrogate Decision-Making Preferences of Family Caregivers of People With Dementia in Rural Hispanic Communities: Cross-Sectional Questionnaire Study. Journal of Medical Internet Research 2018;20(12):e11682 View
  18. Eldh A, Luhr K, Ehnfors M. The development and initial validation of a clinical tool for patients' preferences on patient participation - The 4Ps. Health Expectations 2015;18(6):2522 View
  19. Roper L, Jorm C. Please leave your phone outside: policymakers and medical app providers are encouraging patient participation, but doctors in the consult room are not. BMJ Innovations 2017;3(2):65 View
  20. Gilbertson‐White S, Yeung C, Saeidzadeh S, Tykol H, Vikas P, Cannon A. Engaging Stakeholders in the Development of an eHealth Intervention for Cancer Symptom Management for Rural Residents. The Journal of Rural Health 2019;35(2):189 View
  21. Franklin N, Lavie C, Arena R. Personal health technology: A new era in cardiovascular disease prevention. Postgraduate Medicine 2015;127(2):150 View
  22. Tlach L, Thiel J, Härter M, Liebherz S, Dirmaier J. Acceptance of the German e-mental health portal www.psychenet.de: an online survey. PeerJ 2016;4:e2093 View
  23. Xie B, Su Z, Liu Y, Wang M, Zhang M. Health information sources for different types of information used by Chinese patients with cancer and their family caregivers. Health Expectations 2017;20(4):665 View
  24. Hanna K, Sambrook P, Armfield J, Brennan D. Internet use, online information seeking and knowledge among third molar patients attending public dental services. Australian Dental Journal 2017;62(3):323 View
  25. Pian W, Song S, Zhang Y. Consumer health information needs: A systematic review of measures. Information Processing & Management 2020;57(2):102077 View
  26. Quartuccio M, Minang L, Kalyani R. Patient preferences and internet use for diabetes education differs by age. Journal of Diabetes and its Complications 2018;32(7):726 View
  27. Song L, Toles M, Bai J, Nielsen M, Bailey D, Sleath B, Mark B. Patient Participation in Communication about Treatment Decision-Making for Localized Prostate Cancer during Consultation Visits. Health 2015;07(11):1419 View
  28. Kowalski C, Kahana E, Kuhr K, Ansmann L, Pfaff H. Changes Over Time in the Utilization of Disease-Related Internet Information in Newly Diagnosed Breast Cancer Patients 2007 to 2013. Journal of Medical Internet Research 2014;16(8):e195 View
  29. Xie B, Su Z, Zhang W, Cai R. Chinese Cardiovascular Disease Mobile Apps’ Information Types, Information Quality, and Interactive Functions for Self-Management: Systematic Review. JMIR mHealth and uHealth 2017;5(12):e195 View
  30. Hyde L, Boyes A, Evans T, Mackenzie L, Sanson-Fisher R. Three-Factor Structure of the eHealth Literacy Scale Among Magnetic Resonance Imaging and Computed Tomography Outpatients: A Confirmatory Factor Analysis. JMIR Human Factors 2018;5(1):e6 View
  31. Campisi J, Folan D, Diehl G, Kable T, Rademeyer C. Social media users have different experiences, motivations, and quality of life. Psychiatry Research 2015;228(3):774 View
  32. Kang E, Gillespie B, Tobiano G, Chaboyer W. Discharge education delivered to general surgical patients in their management of recovery post discharge: A systematic mixed studies review. International Journal of Nursing Studies 2018;87:1 View
  33. Xie B, Su Z, Liu Y, Wang M, Zhang M. Health information wanted and obtained from doctors/nurses: a comparison of Chinese cancer patients and family caregivers. Supportive Care in Cancer 2015;23(10):2873 View
  34. Thapa D, Visentin D, Kornhaber R, West S, Cleary M. The influence of online health information on health decisions: A systematic review. Patient Education and Counseling 2021;104(4):770 View

Books/Policy Documents

  1. P. Lyons J, Watson K, Massacci A. Recent Advances in Digital System Diagnosis and Management of Healthcare. View
  2. Wang L, Ma Z, Jiang Y. Diversity, Divergence, Dialogue. View
  3. Wang Z, Zou N, Xie B, Luo Z, He D, Hilsabeck R, Aguirre A. Diversity, Divergence, Dialogue. View