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Cancer Survivor Preferences for Models of Breast Cancer Follow-Up Care: Selecting Attributes for Inclusion in a Discrete Choice Experiment
BACKGROUND AND OBJECTIVE: It is critical to evaluate cancer survivors’ preferences when developing follow-up care models to better address the needs of cancer survivors. This study was conducted to understand the key attributes of breast cancer follow-up care for use in a future discrete choice expe...
Autores principales: | , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer International Publishing
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10201515/ https://www.ncbi.nlm.nih.gov/pubmed/37213062 http://dx.doi.org/10.1007/s40271-023-00631-0 |
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author | Kularatna, Sanjeewa Allen, Michelle Hettiarachchi, Ruvini M. Crawford-Williams, Fiona Senanayake, Sameera Brain, David Hart, Nicolas H. Koczwara, Bogda Ee, Carolyn Chan, Raymond J. |
author_facet | Kularatna, Sanjeewa Allen, Michelle Hettiarachchi, Ruvini M. Crawford-Williams, Fiona Senanayake, Sameera Brain, David Hart, Nicolas H. Koczwara, Bogda Ee, Carolyn Chan, Raymond J. |
author_sort | Kularatna, Sanjeewa |
collection | PubMed |
description | BACKGROUND AND OBJECTIVE: It is critical to evaluate cancer survivors’ preferences when developing follow-up care models to better address the needs of cancer survivors. This study was conducted to understand the key attributes of breast cancer follow-up care for use in a future discrete choice experiment (DCE) survey. METHODS: Key attributes of breast cancer follow-up care models were generated using a multi-stage, mixed-methods approach. Focus group discussions were conducted with cancer survivors and clinicians to generate a range of attributes of current and ideal follow-up care. These attributes were then prioritised using an online survey with survivors and healthcare providers. The DCE attributes and levels were finalised via an expert panel discussion based on the outcomes of the previous stages. RESULTS: Four focus groups were held, two with breast cancer survivors (n = 7) and two with clinicians (n = 8). Focus groups generated sixteen attributes deemed important for breast cancer follow-up care models. The prioritisation exercise was conducted with 20 participants (14 breast cancer survivors and 6 clinicians). Finally, the expert panel selected five attributes for a future DCE survey tool to elicit cancer survivors’ preferences on breast cancer follow-up care. The final attributes included: the care team, allied health and supportive care, survivorship care planning, travel for appointments, and out-of-pocket costs. CONCLUSIONS: Attributes identified can be used in future DCE studies to elicit cancer survivors’ preferences for breast cancer follow-up care. This strengthens the design and implementation of follow-up care programs that best suit the needs and expectations of breast cancer survivors. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s40271-023-00631-0. |
format | Online Article Text |
id | pubmed-10201515 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Springer International Publishing |
record_format | MEDLINE/PubMed |
spelling | pubmed-102015152023-05-23 Cancer Survivor Preferences for Models of Breast Cancer Follow-Up Care: Selecting Attributes for Inclusion in a Discrete Choice Experiment Kularatna, Sanjeewa Allen, Michelle Hettiarachchi, Ruvini M. Crawford-Williams, Fiona Senanayake, Sameera Brain, David Hart, Nicolas H. Koczwara, Bogda Ee, Carolyn Chan, Raymond J. Patient Original Research Article BACKGROUND AND OBJECTIVE: It is critical to evaluate cancer survivors’ preferences when developing follow-up care models to better address the needs of cancer survivors. This study was conducted to understand the key attributes of breast cancer follow-up care for use in a future discrete choice experiment (DCE) survey. METHODS: Key attributes of breast cancer follow-up care models were generated using a multi-stage, mixed-methods approach. Focus group discussions were conducted with cancer survivors and clinicians to generate a range of attributes of current and ideal follow-up care. These attributes were then prioritised using an online survey with survivors and healthcare providers. The DCE attributes and levels were finalised via an expert panel discussion based on the outcomes of the previous stages. RESULTS: Four focus groups were held, two with breast cancer survivors (n = 7) and two with clinicians (n = 8). Focus groups generated sixteen attributes deemed important for breast cancer follow-up care models. The prioritisation exercise was conducted with 20 participants (14 breast cancer survivors and 6 clinicians). Finally, the expert panel selected five attributes for a future DCE survey tool to elicit cancer survivors’ preferences on breast cancer follow-up care. The final attributes included: the care team, allied health and supportive care, survivorship care planning, travel for appointments, and out-of-pocket costs. CONCLUSIONS: Attributes identified can be used in future DCE studies to elicit cancer survivors’ preferences for breast cancer follow-up care. This strengthens the design and implementation of follow-up care programs that best suit the needs and expectations of breast cancer survivors. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s40271-023-00631-0. Springer International Publishing 2023-05-22 2023 /pmc/articles/PMC10201515/ /pubmed/37213062 http://dx.doi.org/10.1007/s40271-023-00631-0 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by-nc/4.0/Open Access This article is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License, which permits any non-commercial 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-nc/4.0/ (https://creativecommons.org/licenses/by-nc/4.0/) . |
spellingShingle | Original Research Article Kularatna, Sanjeewa Allen, Michelle Hettiarachchi, Ruvini M. Crawford-Williams, Fiona Senanayake, Sameera Brain, David Hart, Nicolas H. Koczwara, Bogda Ee, Carolyn Chan, Raymond J. Cancer Survivor Preferences for Models of Breast Cancer Follow-Up Care: Selecting Attributes for Inclusion in a Discrete Choice Experiment |
title | Cancer Survivor Preferences for Models of Breast Cancer Follow-Up Care: Selecting Attributes for Inclusion in a Discrete Choice Experiment |
title_full | Cancer Survivor Preferences for Models of Breast Cancer Follow-Up Care: Selecting Attributes for Inclusion in a Discrete Choice Experiment |
title_fullStr | Cancer Survivor Preferences for Models of Breast Cancer Follow-Up Care: Selecting Attributes for Inclusion in a Discrete Choice Experiment |
title_full_unstemmed | Cancer Survivor Preferences for Models of Breast Cancer Follow-Up Care: Selecting Attributes for Inclusion in a Discrete Choice Experiment |
title_short | Cancer Survivor Preferences for Models of Breast Cancer Follow-Up Care: Selecting Attributes for Inclusion in a Discrete Choice Experiment |
title_sort | cancer survivor preferences for models of breast cancer follow-up care: selecting attributes for inclusion in a discrete choice experiment |
topic | Original Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10201515/ https://www.ncbi.nlm.nih.gov/pubmed/37213062 http://dx.doi.org/10.1007/s40271-023-00631-0 |
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