Published on in Vol 7, No 1 (2021): Jan-Mar

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/26950, first published .
Effect of Collaborative Review of Electronic Patient-Reported Outcomes for Shared Reporting in Breast Cancer Patients: Descriptive Comparative Study

Effect of Collaborative Review of Electronic Patient-Reported Outcomes for Shared Reporting in Breast Cancer Patients: Descriptive Comparative Study

Effect of Collaborative Review of Electronic Patient-Reported Outcomes for Shared Reporting in Breast Cancer Patients: Descriptive Comparative Study

Journals

  1. Trojan A, Leuthold N, Thomssen C, Rody A, Winder T, Jakob A, Egger C, Held U, Jackisch C. The Effect of Collaborative Reviews of Electronic Patient-Reported Outcomes on the Congruence of Patient- and Clinician-Reported Toxicity in Cancer Patients Receiving Systemic Therapy: Prospective, Multicenter, Observational Clinical Trial. Journal of Medical Internet Research 2021;23(8):e29271 View
  2. Ardito V, Golubev G, Ciani O, Tarricone R. Evaluating Barriers and Facilitators to the Uptake of mHealth Apps in Cancer Care Using the Consolidated Framework for Implementation Research: Scoping Literature Review. JMIR Cancer 2023;9:e42092 View
  3. Trojan A, Roth S, Atassi Z, Kiessling M, Zenhaeusern R, Kadvany Y, Schumacher J, Kullak-Ublick G, Aapro M, Eniu A. Comparison of the Real-World Reporting of Symptoms and Well-Being for the HER2-Directed Trastuzumab Biosimilar Ogivri With Registry Data for Herceptin in the Treatment of Breast Cancer: Prospective Observational Study (OGIPRO) of Electronic Patient-Reported Outcomes. JMIR Cancer 2024;10:e54178 View
  4. Trojan A, Kühne C, Kiessling M, Schumacher J, Dröse S, Singer C, Jackisch C, Thomssen C, Kullak-Ublick G. Impact of Electronic Patient-Reported Outcomes on Unplanned Consultations and Hospitalizations in Patients With Cancer Undergoing Systemic Therapy: Results of a Patient-Reported Outcome Study Compared With Matched Retrospective Data. JMIR Formative Research 2024;8:e55917 View
  5. Trojan A, Laurenzi E, Jüngling S, Roth S, Kiessling M, Atassi Z, Kadvany Y, Mannhart M, Jackisch C, Kullak-Ublick G, Witschel H. Towards an early warning system for monitoring of cancer patients using hybrid interactive machine learning. Frontiers in Digital Health 2024;6 View