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      Characterizing experiences of non-medical switching to trastuzumab biosimilars using data from internet-based surveys with US-based oncologists and breast cancer patients

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          Abstract

          Purpose

          To characterize current experiences with communication and decision-making practices when non-medical switching to a biosimilar trastuzumab is proposed or required by cancer center or insurer.

          Methods

          We developed and launched 60- and 51-item internet surveys to elicit US breast cancer patient and medical oncologist lived experiences with trastuzumab biosimilars and patient information needs and seeking practices. We recruited participants using social media and administered via REDCap in 2020–2021.

          Results

          143 breast cancer patients and 33 medical oncologists completed the surveys. 63.9% patients reported having switched to a trastuzumab biosimilar and 40.8% reported receiving no prior notification about switching. 44% of patients reported learning about biosimilars primarily through self-directed learning and 41% wanting more time to discuss with oncologist. None of the oncologists reported that the decision to switch a patient to a biosimilar was initiated by them, but rather more frequently by the insurer (45.2%). About 54.8% reported not receiving any pharmaceutical manufacturer material related to the selected biosimilar. Patients and oncologists diverged in their responses to items regarding patient opportunities to ask questions, adequacy of resources, effectiveness of treatment, patient worry, and magnitude of change.

          Conclusion

          There is a need for tailored and effective patient and oncologist information and education on trastuzumab biosimilars, along with improved healthcare communication regarding switching. The discrepancy between patient-reported experiences and oncologist perceptions of the patient experience, suggests a lack of adequate information that may be a challenge not only to the uptake of trastuzumab biosimilars, but to the patient-oncologist relationship.

          Supplementary Information

          The online version contains supplementary material available at 10.1007/s10549-022-06615-2.

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          Most cited references26

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          The REDCap consortium: Building an international community of software platform partners

          The Research Electronic Data Capture (REDCap) data management platform was developed in 2004 to address an institutional need at Vanderbilt University, then shared with a limited number of adopting sites beginning in 2006. Given bi-directional benefit in early sharing experiments, we created a broader consortium sharing and support model for any academic, non-profit, or government partner wishing to adopt the software. Our sharing framework and consortium-based support model have evolved over time along with the size of the consortium (currently more than 3200 REDCap partners across 128 countries). While the "REDCap Consortium" model represents only one example of how to build and disseminate a software platform, lessons learned from our approach may assist other research institutions seeking to build and disseminate innovative technologies.
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            The Generalizability of Survey Experiments

            Survey experiments have become a central methodology across the social sciences. Researchers can combine experiments’ causal power with the generalizability of population-based samples. Yet, due to the expense of population-based samples, much research relies on convenience samples (e.g. students, online opt-in samples). The emergence of affordable, but non-representative online samples has reinvigorated debates about the external validity of experiments. We conduct two studies of how experimental treatment effects obtained from convenience samples compare to effects produced by population samples. In Study 1, we compare effect estimates from four different types of convenience samples and a population-based sample. In Study 2, we analyze treatment effects obtained from 20 experiments implemented on a population-based sample and Amazon's Mechanical Turk (MTurk). The results reveal considerable similarity between many treatment effects obtained from convenience and nationally representative population-based samples. While the results thus bolster confidence in the utility of convenience samples, we conclude with guidance for the use of a multitude of samples for advancing scientific knowledge.
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              Human factors systems approach to healthcare quality and patient safety.

              Human factors systems approaches are critical for improving healthcare quality and patient safety. The SEIPS (Systems Engineering Initiative for Patient Safety) model of work system and patient safety is a human factors systems approach that has been successfully applied in healthcare research and practice. Several research and practical applications of the SEIPS model are described. Important implications of the SEIPS model for healthcare system and process redesign are highlighted. Principles for redesigning healthcare systems using the SEIPS model are described. Balancing the work system and encouraging the active and adaptive role of workers are key principles for improving healthcare quality and patient safety. Copyright © 2013 Elsevier Ltd and The Ergonomics Society. All rights reserved.
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                Author and article information

                Contributors
                elp@uic.edu
                Journal
                Breast Cancer Res Treat
                Breast Cancer Res Treat
                Breast Cancer Research and Treatment
                Springer US (New York )
                0167-6806
                1573-7217
                14 May 2022
                14 May 2022
                : 1-9
                Affiliations
                [1 ]GRID grid.185648.6, ISNI 0000 0001 2175 0319, Department of Biomedical & Health Information Sciences, , University of Illinois at Chicago, ; 1919 W. Taylor St., Chicago, IL 60612 USA
                [2 ]Chicago, IL USA
                [3 ]Swansea, IL USA
                [4 ]GRID grid.185648.6, ISNI 0000 0001 2175 0319, Department of Biomedical & Health Information Sciences, , University of Illinois at Chicago, ; Chicago, IL USA
                [5 ]GRID grid.19006.3e, ISNI 0000 0000 9632 6718, Department of Surgery, , University of California Los Angeles, ; Los Angeles, CA USA
                [6 ]GRID grid.47100.32, ISNI 0000000419368710, Yale Comprehensive Cancer Center, , Yale School of Medicine, ; New Haven, CT USA
                Author information
                http://orcid.org/0000-0003-2771-9579
                Article
                6615
                10.1007/s10549-022-06615-2
                9107314
                35568748
                e53243d7-32b1-4181-8331-bd8ddb9c2dee
                © The Author(s) 2022

                Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/.

                History
                : 11 February 2022
                : 18 April 2022
                Funding
                Funded by: Pfizer/NCCN
                Award ID: G1740
                Award Recipient :
                Categories
                Preclinical Study

                Oncology & Radiotherapy
                breast cancer,biosimilars,trastuzumab,patient-centered care,patient-provider communication,communication

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