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A case study of adapting a health insurance decision intervention from trial into routine cancer care
OBJECTIVE: This study adapted Improving Cancer Patients’ Insurance Choices (I Can PIC), an intervention to help cancer patients navigate health insurance decisions and care costs. The original intervention improved knowledge and confidence making insurance decisions, however, users felt limited by c...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9463661/ https://www.ncbi.nlm.nih.gov/pubmed/36088371 http://dx.doi.org/10.1186/s13104-022-06189-8 |
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author | Charles, Miles E. Kuroki, Lindsay M. Baumann, Ana A. Tabak, Rachel G. James, Aimee Cooksey, Krista Politi, Mary C. |
author_facet | Charles, Miles E. Kuroki, Lindsay M. Baumann, Ana A. Tabak, Rachel G. James, Aimee Cooksey, Krista Politi, Mary C. |
author_sort | Charles, Miles E. |
collection | PubMed |
description | OBJECTIVE: This study adapted Improving Cancer Patients’ Insurance Choices (I Can PIC), an intervention to help cancer patients navigate health insurance decisions and care costs. The original intervention improved knowledge and confidence making insurance decisions, however, users felt limited by choices provided in insurance markets. Using decision trees and frameworks to guide adaptations, we modified I Can PIC to focus on using rather than choosing health insurance. The COVID-19 pandemic introduced unforeseen obstacles, prompting changes to study protocols. As a result, we allowed users outside of the study to use I Can PIC (> 1050 guest users) to optimize public benefit. This paper describes the steps took to conduct the study, evaluating both the effectiveness of I Can PIC and the implementation process to improve its impact. RESULTS: Although I Can PIC users had higher knowledge and health insurance literacy compared to the control group, results were not statistically significant. This outcome may be associated with systems-level challenges as well as the number and demographic characteristics of participants. The publicly available tool can be a resource for those navigating insurance and care costs, and researchers can use this flexible approach to intervention delivery and testing as future health emergencies arise. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s13104-022-06189-8. |
format | Online Article Text |
id | pubmed-9463661 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-94636612022-09-10 A case study of adapting a health insurance decision intervention from trial into routine cancer care Charles, Miles E. Kuroki, Lindsay M. Baumann, Ana A. Tabak, Rachel G. James, Aimee Cooksey, Krista Politi, Mary C. BMC Res Notes Research Note OBJECTIVE: This study adapted Improving Cancer Patients’ Insurance Choices (I Can PIC), an intervention to help cancer patients navigate health insurance decisions and care costs. The original intervention improved knowledge and confidence making insurance decisions, however, users felt limited by choices provided in insurance markets. Using decision trees and frameworks to guide adaptations, we modified I Can PIC to focus on using rather than choosing health insurance. The COVID-19 pandemic introduced unforeseen obstacles, prompting changes to study protocols. As a result, we allowed users outside of the study to use I Can PIC (> 1050 guest users) to optimize public benefit. This paper describes the steps took to conduct the study, evaluating both the effectiveness of I Can PIC and the implementation process to improve its impact. RESULTS: Although I Can PIC users had higher knowledge and health insurance literacy compared to the control group, results were not statistically significant. This outcome may be associated with systems-level challenges as well as the number and demographic characteristics of participants. The publicly available tool can be a resource for those navigating insurance and care costs, and researchers can use this flexible approach to intervention delivery and testing as future health emergencies arise. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s13104-022-06189-8. BioMed Central 2022-09-10 /pmc/articles/PMC9463661/ /pubmed/36088371 http://dx.doi.org/10.1186/s13104-022-06189-8 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/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/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data. |
spellingShingle | Research Note Charles, Miles E. Kuroki, Lindsay M. Baumann, Ana A. Tabak, Rachel G. James, Aimee Cooksey, Krista Politi, Mary C. A case study of adapting a health insurance decision intervention from trial into routine cancer care |
title | A case study of adapting a health insurance decision intervention from trial into routine cancer care |
title_full | A case study of adapting a health insurance decision intervention from trial into routine cancer care |
title_fullStr | A case study of adapting a health insurance decision intervention from trial into routine cancer care |
title_full_unstemmed | A case study of adapting a health insurance decision intervention from trial into routine cancer care |
title_short | A case study of adapting a health insurance decision intervention from trial into routine cancer care |
title_sort | case study of adapting a health insurance decision intervention from trial into routine cancer care |
topic | Research Note |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9463661/ https://www.ncbi.nlm.nih.gov/pubmed/36088371 http://dx.doi.org/10.1186/s13104-022-06189-8 |
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