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

Consumer & Patient Education and Shared-Decision Making (679) Participatory Medicine & E-Patients (773)

Published on in Vol 15, No 12 (2013): December

Perceived Barriers and Facilitators of Using a Web-Based Interactive Decision Aid for Colorectal Cancer Screening in Community Practice Settings: Findings From Focus Groups With Primary Care Clinicians and Medical Office Staff

Perceived Barriers and Facilitators of Using a Web-Based Interactive Decision Aid for Colorectal Cancer Screening in Community Practice Settings: Findings From Focus Groups With Primary Care Clinicians and Medical Office Staff

Perceived Barriers and Facilitators of Using a Web-Based Interactive Decision Aid for Colorectal Cancer Screening in Community Practice Settings: Findings From Focus Groups With Primary Care Clinicians and Medical Office Staff

Authors of this article:

Masahito Jimbo1 ;   Cameron Garth Shultz2 ;   Donald Eugene Nease3 ;   Michael Derwin Fetters2 ;   Debra Power4 ;   Mack Thomas Ruffin IV2
Article Authors Cited by (20) Tweetations (7) Metrics

Journals

  1. Tong W, Ng C, Lee Y, Lee P. What will make patients use a patient decision aid? A qualitative study on patients' perspectives on implementation barriers and facilitators. Journal of Evaluation in Clinical Practice 2020;26(3):755 View
  2. Jacob C, Sanchez-Vazquez A, Ivory C. Social, Organizational, and Technological Factors Impacting Clinicians’ Adoption of Mobile Health Tools: Systematic Literature Review. JMIR mHealth and uHealth 2020;8(2):e15935 View
  3. O’Connor S, Hanlon P, O’Donnell C, Garcia S, Glanville J, Mair F. Understanding factors affecting patient and public engagement and recruitment to digital health interventions: a systematic review of qualitative studies. BMC Medical Informatics and Decision Making 2016;16(1) View
  4. Landman A, Emani S, Carlile N, Rosenthal D, Guelich S, Semakov S, Pallin D, Poon E. A Mobile App for Securely Capturing and Transferring Clinical Images to the Electronic Health Record: Description and Preliminary Usability Study. JMIR mHealth and uHealth 2015;3(1):e1 View
  5. Cloutier M. Asthma management programs for primary care providers. Current Opinion in Allergy & Clinical Immunology 2016;16(2):142 View
  6. Hinsberg L, Marques F, Leavitt L, Skubisz C, Sepucha K, Wasfy J. Comparing the effectiveness of two different decision aids for stable chest discomfort. Coronary Artery Disease 2018;29(3):230 View
  7. Jacob C, Sanchez-Vazquez A, Ivory C. Factors Impacting Clinicians’ Adoption of a Clinical Photo Documentation App and its Implications for Clinical Workflows and Quality of Care: Qualitative Case Study. JMIR mHealth and uHealth 2020;8(9):e20203 View
  8. Pannebakker M, Mills K, Johnson M, Emery J, Walter F. Understanding implementation and usefulness of electronic clinical decision support (eCDS) for melanoma in English primary care: a qualitative investigation. BJGP Open 2019;3(1):bjgpopen18X101635 View
  9. Schreiweis B, Pobiruchin M, Strotbaum V, Suleder J, Wiesner M, Bergh B. Barriers and Facilitators to the Implementation of eHealth Services: Systematic Literature Analysis. Journal of Medical Internet Research 2019;21(11):e14197 View
  10. Scott A, Alore E, Naik A, Berger D, Suliburk J. Mixed-Methods Analysis of Factors Impacting Use of a Postoperative mHealth App. JMIR mHealth and uHealth 2017;5(2):e11 View
  11. Berkowitz J, Martinez-Camblor P, Stevens G, Elwyn G. The development of incorpoRATE: A measure of physicians’ willingness to incorporate shared decision making into practice. Patient Education and Counseling 2021;104(9):2327 View
  12. Lowery J, Fagerlin A, Larkin A, Wiener R, Skurla S, Caverly T. Implementation of a Web-Based Tool for Shared Decision-making in Lung Cancer Screening: Mixed Methods Quality Improvement Evaluation. JMIR Human Factors 2022;9(2):e32399 View
  13. Fletcher E, Burns A, Wiering B, Lavu D, Shephard E, Hamilton W, Campbell J, Abel G. Workload and workflow implications associated with the use of electronic clinical decision support tools used by health professionals in general practice: a scoping review. BMC Primary Care 2023;24(1) View
  14. Peters L, Torres-Castaño A, van Etten-Jamaludin F, Perestelo Perez L, Ubbink D. What helps the successful implementation of digital decision aids supporting shared decision-making in cardiovascular diseases? A systematic review. European Heart Journal - Digital Health 2023;4(1):53 View
  15. Schonberg M, Hamel M, Davis R, Karamourtopoulos M, Pinheiro A, Hayes M, Wee C, Kistler C. Primary Care Providers’ Perceptions of the Acceptability, Appropriateness, and Feasibility of a Mammography Decision Aid for Women Aged 75 and Older. MDM Policy & Practice 2022;7(1) View
  16. Lushin V, Matthews E, Stanhope V, Rivera R, Rzewinski J, Stewart R, Rees J, Marcus S. Feasibility and acceptability of collaborative documentation tool for implementing medication-assisted treatment in substance use disorder counseling. Journal of Social Work Practice in the Addictions 2023;23(3):179 View
  17. Tabaeeian R, Hajrahimi B, Khoshfetrat A. A systematic review of telemedicine systems use barriers: primary health care providers' perspective. Journal of Science and Technology Policy Management 2024;15(3):610 View
  18. Borges do Nascimento I, Abdulazeem H, Vasanthan L, Martinez E, Zucoloto M, Østengaard L, Azzopardi-Muscat N, Zapata T, Novillo-Ortiz D. Barriers and facilitators to utilizing digital health technologies by healthcare professionals. npj Digital Medicine 2023;6(1) View
  19. Owens-Jasey C, Chen J, Xu R, Angier H, Huebschmann A, Ito Fukunaga M, Chaiyachati K, Rendle K, Robien K, DiMartino L, Amante D, Faro J, Kepper M, Ramsey A, Bressman E, Gold R. Implementation of Health IT for Cancer Screening in US Primary Care: Scoping Review. JMIR Cancer 2024;10:e49002 View

Books/Policy Documents

  1. Abdiwahab E, Taplin S, Coronado G, Dacus H, Leypoldt M, Skinner C. Oncology Informatics. View