Literature DB >> 32108976

Improving Cancer Patients' Insurance Choices (I Can PIC): A Randomized Trial of a Personalized Health Insurance Decision Aid.

Mary C Politi1, Rachel L Grant1, Nerissa P George1, Abigail R Barker2, Aimee S James1, Lindsay M Kuroki3, Timothy D McBride2, Jingxia Liu1, Courtney M Goodwin1.   

Abstract

BACKGROUND: Many cancer survivors struggle to choose a health insurance plan that meets their needs because of high costs, limited health insurance literacy, and lack of decision support. We developed a web-based decision aid, Improving Cancer Patients' Insurance Choices (I Can PIC), and evaluated it in a randomized trial.
MATERIALS AND METHODS: Eligible individuals (18-64 years, diagnosed with cancer for ≤5 years, English-speaking, not Medicaid or Medicare eligible) were randomized to I Can PIC or an attention control health insurance worksheet. Primary outcomes included health insurance knowledge, decisional conflict, and decision self-efficacy after completing I Can PIC or the control. Secondary outcomes included knowledge, decisional conflict, decision self-efficacy, health insurance literacy, financial toxicity, and delayed care at a 3-6-month follow-up.
RESULTS: A total of 263 of 335 eligible participants (79%) consented and were randomized; 206 (73%) completed the initial survey (106 in I Can PIC; 100 in the control), and 180 (87%) completed a 3-6 month follow-up. After viewing I Can PIC or the control, health insurance knowledge and a health insurance literacy item assessing confidence understanding health insurance were higher in the I Can PIC group. At follow-up, the I Can PIC group retained higher knowledge than the control; confidence understanding health insurance was not reassessed. There were no significant differences between groups in other outcomes. Results did not change when controlling for health literacy and employment. Both groups reported having limited health insurance options.
CONCLUSION: I Can PIC can improve cancer survivors' health insurance knowledge and confidence using health insurance. System-level interventions are needed to lower financial toxicity and help patients manage care costs. IMPLICATIONS FOR PRACTICE: Inadequate health insurance compromises cancer treatment and impacts overall and cancer-specific mortality. Uninsured or underinsured survivors report fewer recommended cancer screenings and may delay or avoid needed follow-up cancer care because of costs. Even those with adequate insurance report difficulty managing care costs. Health insurance decision support and resources to help manage care costs are thus paramount to cancer survivors' health and care management. We developed a web-based decision aid, Improving Cancer Patients' Insurance Choices (I Can PIC), and evaluated it in a randomized trial. I Can PIC provides health insurance information, supports patients through managing care costs, offers a list of financial and emotional support resources, and provides a personalized cost estimate of annual health care expenses across plan types. © AlphaMed Press 2020.

Entities:  

Keywords:  Cancer survivors; Decision support techniques; Health; Health literacy; Insurance; Self-efficacy

Year:  2020        PMID: 32108976      PMCID: PMC7356712          DOI: 10.1634/theoncologist.2019-0703

Source DB:  PubMed          Journal:  Oncologist        ISSN: 1083-7159


  32 in total

1.  How does beneficiary knowledge of the Medicare program vary by type of insurance?

Authors:  Lauren A McCormack; Jennifer D Uhrig
Journal:  Med Care       Date:  2003-08       Impact factor: 2.983

2.  High-Deductible Health Plans and Cancer Survivorship: What Is the Association With Access to Care and Hospital Emergency Department Use?

Authors:  Zhiyuan Zheng; Ahmedin Jemal; Matthew P Banegas; Xuesong Han; K Robin Yabroff
Journal:  J Oncol Pract       Date:  2019-08-08       Impact factor: 3.840

3.  Are you SURE?: Assessing patient decisional conflict with a 4-item screening test.

Authors:  France Légaré; Stephen Kearing; Kate Clay; Susie Gagnon; Denis D'Amours; Michel Rousseau; Annette O'Connor
Journal:  Can Fam Physician       Date:  2010-08       Impact factor: 3.275

4.  Patients and Physicians Can Discuss Costs of Cancer Treatment in the Clinic.

Authors:  Ronan J Kelly; Patrick M Forde; Shereef M Elnahal; Arlene A Forastiere; Gary L Rosner; Thomas J Smith
Journal:  J Oncol Pract       Date:  2015-05-26       Impact factor: 3.840

5.  Validation of SURE, a four-item clinical checklist for detecting decisional conflict in patients.

Authors:  Audrey Ferron Parayre; Michel Labrecque; Michel Rousseau; Stéphane Turcotte; France Légaré
Journal:  Med Decis Making       Date:  2013-06-17       Impact factor: 2.583

6.  Validation of the Subjective Numeracy Scale: effects of low numeracy on comprehension of risk communications and utility elicitations.

Authors:  Brian J Zikmund-Fisher; Dylan M Smith; Peter A Ubel; Angela Fagerlin
Journal:  Med Decis Making       Date:  2007-07-24       Impact factor: 2.583

7.  Measuring numeracy without a math test: development of the Subjective Numeracy Scale.

Authors:  Angela Fagerlin; Brian J Zikmund-Fisher; Peter A Ubel; Aleksandra Jankovic; Holly A Derry; Dylan M Smith
Journal:  Med Decis Making       Date:  2007-07-19       Impact factor: 2.583

8.  Development of the Health Insurance Literacy Measure (HILM): conceptualizing and measuring consumer ability to choose and use private health insurance.

Authors:  Kathryn A Paez; Coretta J Mallery; HarmoniJoie Noel; Christopher Pugliese; Veronica E McSorley; Jennifer L Lucado; Deepa Ganachari
Journal:  J Health Commun       Date:  2014

9.  Show Me My Health Plans: a study protocol of a randomized trial testing a decision support tool for the federal health insurance marketplace in Missouri.

Authors:  Mary C Politi; Abigail R Barker; Kimberly A Kaphingst; Timothy McBride; Enbal Shacham; Carey S Kebodeaux
Journal:  BMC Health Serv Res       Date:  2016-02-16       Impact factor: 2.655

10.  Patient recommendations for reducing long-lasting economic burden after breast cancer.

Authors:  Lorraine T Dean; Shadiya L Moss; Sarah I Rollinson; Livia Frasso Jaramillo; Raheem J Paxton; Jill T Owczarzak
Journal:  Cancer       Date:  2019-03-06       Impact factor: 6.860

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  5 in total

Review 1.  Decision aids for cancer survivors' engagement with survivorship care services after primary treatment: a systematic review.

Authors:  Yu Ke; Hanzhang Zhou; Raymond Javan Chan; Alexandre Chan
Journal:  J Cancer Surviv       Date:  2022-07-07       Impact factor: 4.442

2.  Predicting Future Utilization Using Self-Reported Health and Health Conditions in a Longitudinal Cohort Study: Implications for Health Insurance Decision Support.

Authors:  Abigail R Barker; Karen E Joynt Maddox; Ellen Peters; Kristine Huang; Mary C Politi
Journal:  Inquiry       Date:  2021 Jan-Dec       Impact factor: 2.099

3.  Social risk factors among individuals with a history of cancer during the COVID-19 pandemic.

Authors:  Cheryl Kelly; Larissa Lee White; Shauna Goldberg Scott; Heather Spencer Feigelson; Andrea N Burnett-Hartman
Journal:  J Cancer Surviv       Date:  2022-08-03       Impact factor: 4.062

4.  A case study of adapting a health insurance decision intervention from trial into routine cancer care.

Authors:  Miles E Charles; Lindsay M Kuroki; Ana A Baumann; Rachel G Tabak; Aimee James; Krista Cooksey; Mary C Politi
Journal:  BMC Res Notes       Date:  2022-09-10

5.  Women Who Are Young, Non-White, and with Lower Socioeconomic Status Report Higher Financial Toxicity up to 1 Year After Breast Cancer Surgery: A Mixed-Effects Regression Analysis.

Authors:  Mary C Politi; Renata W Yen; Glyn Elwyn; A James O'Malley; Catherine H Saunders; Danielle Schubbe; Rachel Forcino; Marie-Anne Durand
Journal:  Oncologist       Date:  2020-10-12
  5 in total

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