Published on in Vol 9, No 2 (2007):

User-Centered Research on Breast Cancer Patient Needs and Preferences of an Internet-Based Clinical Trial Matching System

User-Centered Research on Breast Cancer Patient Needs and Preferences of an Internet-Based Clinical Trial Matching System

User-Centered Research on Breast Cancer Patient Needs and Preferences of an Internet-Based Clinical Trial Matching System

Journals

  1. Gartrell K, Storr C, Trinkoff A, Wilson M, Gurses A. Electronic personal health record use among registered nurses. Nursing Outlook 2015;63(3):278 View
  2. Dear R, Barratt A, Crossing S, Butow P, Hanson S, Tattersall M. Consumer input into research: the Australian Cancer Trials website. Health Research Policy and Systems 2011;9(1) View
  3. Wallwiener M, Wallwiener C, Brucker S, Hartkopf A, Fehm T, Kansy J. The Brustkrebs-Studien.de website for breast cancer patients: User acceptance of a German internet portal offering information on the disease and treatment options, and a clinical trials matching service. BMC Cancer 2010;10(1) View
  4. Cohen E, Belkora J, Tyler J, Schreiner J, Deering M, Grama L, Duggan B, Illi J, Pederson J, Anand A, Teng A, McCreary E, Moore D, Tripathy D, Hogarth M, Lieberman M, Park J, Esserman L. Adoption, Acceptability, and Accuracy of an Online Clinical Trial Matching Website for Breast Cancer. Journal of Medical Internet Research 2012;14(4):e97 View
  5. Peleg M, Shachak A, Wang D, Karnieli E. Using multi-perspective methodologies to study users’ interactions with the prototype front end of a guideline-based decision support system for diabetic foot care. International Journal of Medical Informatics 2009;78(7):482 View
  6. Atkinson N, Massett H, Mylks C, McCormack L, Kish-Doto J, Hesse B, Wang M. Assessing the impact of user-centered research on a clinical trial eHealth tool via counterbalanced research design. Journal of the American Medical Informatics Association 2011;18(1):24 View
  7. Kaplan C, Siegel A, Leykin Y, Palmer N, Borno H, Bielenberg J, Livaudais-Toman J, Ryan C, Small E. A bilingual, Internet-based, targeted advertising campaign for prostate cancer clinical trials: Assessing the feasibility, acceptability, and efficacy of a novel recruitment strategy. Contemporary Clinical Trials Communications 2018;12:60 View
  8. Tarver W, Robb B, Haggstrom D. Usefulness and Usability of a Personal Health Record and Survivorship Care Plan for Colorectal Cancer Survivors: Survey Study. JMIR Cancer 2019;5(2):e10692 View
  9. Goldberg L, Lide B, Lowry S, Massett H, O'Connell T, Preece J, Quesenbery W, Shneiderman B. Usability and Accessibility in Consumer Health Informatics. American Journal of Preventive Medicine 2011;40(5):S187 View
  10. Dear R, Barratt A, Askie L, Butow P, McGeechan K, Crossing S, Currow D, Tattersall M. Impact of a cancer clinical trials web site on discussions about trial participation: a cluster randomized trial. Annals of Oncology 2012;23(7):1912 View
  11. Wells M. Surveying the experience of living with metastatic breast cancer: comparing face-to-face and online recruitment (paper 578). Journal of Research in Nursing 2009;14(1):57 View
  12. Gartrell K, Trinkoff A, Storr C, Wilson M, Gurses A. Testing the Electronic Personal Health Record Acceptance Model by Nurses for Managing Their Own Health. Applied Clinical Informatics 2015;06(02):224 View
  13. Heckman C, Darlow S, Munshi T, Caruso C, Ritterband L, Raivitch S, Fleisher L, Manne S. Development of an internet intervention to address behaviors associated with skin cancer risk among young adults. Internet Interventions 2015;2(3):340 View
  14. Goto Y, Nagase T. Oncology Information on the Internet. Japanese Journal of Clinical Oncology 2012;42(5):368 View
  15. Shyr C, Kushniruk A, van Karnebeek C, Wasserman W. Dynamic software design for clinical exome and genome analyses: insights from bioinformaticians, clinical geneticists, and genetic counselors. Journal of the American Medical Informatics Association 2016;23(2):257 View
  16. Köpcke F, Prokosch H. Employing Computers for the Recruitment into Clinical Trials: A Comprehensive Systematic Review. Journal of Medical Internet Research 2014;16(7):e161 View
  17. Simon C, Schramm S, Hillis S. Patient internet use surrounding cancer clinical trials: Clinician perceptions and responses. Contemporary Clinical Trials 2010;31(3):229 View
  18. Atkinson N, Saperstein S, Massett H, Leonard C, Grama L, Manrow R. Using the Internet to search for cancer clinical trials: A comparative audit of clinical trial search tools. Contemporary Clinical Trials 2008;29(4):555 View
  19. Sae-Hau M, Disare K, Michaels M, Gentile A, Szumita L, Treiman K, Weiss E. Overcoming Barriers to Clinical Trial Participation: Outcomes of a National Clinical Trial Matching and Navigation Service for Patients With a Blood Cancer. JCO Oncology Practice 2021;17(12):e1866 View
  20. Gard G, Oakley J, Harold M, Colyer D, Benson W, Gray K, Zeps N, Gibbs P. Facilitating increased participation in clinical trials: what do consumers expect of clinical trial matching websites?. Internal Medicine Journal 2023;53(11):2111 View
  21. Manne S, Heckman C, Frederick S, Schaefer A, Studts C, Khavjou O, Honeycutt A, Berger A, Liu H. A Digital Intervention to Improve Skin Self-Examination Among Survivors of Melanoma: Protocol for a Type-1 Hybrid Effectiveness-Implementation Randomized Trial. JMIR Research Protocols 2024;13:e52689 View
  22. Nothaft F, Power B. The Most Disruptive Near-Term Use of AI in Cancer Care: Patient Empowerment Through Software Agents. AI in Precision Oncology 2024;1(5):256 View

Books/Policy Documents

  1. Andrews J, David Johnson J, Eldredge C. Clinical Research Informatics. View
  2. Johnson J, Andrews J. Clinical Research Informatics. View
  3. Andrews J, Eldredge C, Applequist J, Johnson J. Clinical Research Informatics. View