A case study of adapting a health insurance decision intervention from trial into routine cancer care
Abstract 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 limi...
| Main Authors: | , , , , , , |
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| Format: | Article |
| Language: | English |
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BMC
2022-09-01
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| Series: | BMC Research Notes |
| Subjects: | |
| Online Access: | https://doi.org/10.1186/s13104-022-06189-8 |
| _version_ | 1811273599335530496 |
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| author | Miles E. Charles Lindsay M. Kuroki Ana A. Baumann Rachel G. Tabak Aimee James Krista Cooksey Mary C. Politi |
| author_facet | Miles E. Charles Lindsay M. Kuroki Ana A. Baumann Rachel G. Tabak Aimee James Krista Cooksey Mary C. Politi |
| author_sort | Miles E. Charles |
| collection | DOAJ |
| description | Abstract 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. |
| first_indexed | 2024-04-12T23:02:09Z |
| format | Article |
| id | doaj.art-2c1decf23af747399d43961dbee25c27 |
| institution | Directory Open Access Journal |
| issn | 1756-0500 |
| language | English |
| last_indexed | 2024-04-12T23:02:09Z |
| publishDate | 2022-09-01 |
| publisher | BMC |
| record_format | Article |
| series | BMC Research Notes |
| spelling | doaj.art-2c1decf23af747399d43961dbee25c272022-12-22T03:13:00ZengBMCBMC Research Notes1756-05002022-09-011511610.1186/s13104-022-06189-8A case study of adapting a health insurance decision intervention from trial into routine cancer careMiles E. Charles0Lindsay M. Kuroki1Ana A. Baumann2Rachel G. Tabak3Aimee James4Krista Cooksey5Mary C. Politi6Division of Public Health Sciences, Department of Surgery, Washington University School of MedicineDivision of Gynecologic Oncology, Department of Obstetrics and Gynecology, Washington University School of MedicineDivision of Public Health Sciences, Department of Surgery, Washington University School of MedicineBrown School, Washington UniversityDivision of Public Health Sciences, Department of Surgery, Washington University School of MedicineDivision of Public Health Sciences, Department of Surgery, Washington University School of MedicineDivision of Public Health Sciences, Department of Surgery, Washington University School of MedicineAbstract 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.https://doi.org/10.1186/s13104-022-06189-8ImplementationAdaptationDecision scienceHealth insuranceHealth policy |
| spellingShingle | Miles E. Charles Lindsay M. Kuroki Ana A. Baumann Rachel G. Tabak Aimee James Krista Cooksey Mary C. Politi A case study of adapting a health insurance decision intervention from trial into routine cancer care BMC Research Notes Implementation Adaptation Decision science Health insurance Health policy |
| 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 | Implementation Adaptation Decision science Health insurance Health policy |
| url | https://doi.org/10.1186/s13104-022-06189-8 |
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