Evidence map›Paper›PMID 32108976›Full record

Trial reportThe oncologist2020

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

Mary C Politi, Rachel L Grant, Nerissa P George, Abigail R Barker, Aimee S James, Lindsay M Kuroki, Timothy D McBride, Jingxia Liu, Courtney M Goodwin

Abstract readRandomized Controlled Trial
In one paragraph

Trial report in The oncologist, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
25citing papers in PubMed, 4 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

25 citing papers in PubMed, 4 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Pooled it
  4. Decision aids for people facing health treatment or screening decisions.The Cochrane database of systematic reviews · 2024
    Pooled it
  5. Trial
  6. Adapting a Cancer Cost and Health Insurance Tool for Implementation: Rapid Qualitative Analysis.Health expectations : an international journal of public participation in health care and health policy · 2026
    Article
  7. Article
  8. Article
  9. Review
  10. Article
  11. Article
  12. Insights on Improving Health Insurance Literacy in Diabetes.The Journal of clinical endocrinology and metabolism · 2025
    Review
  13. Article
  14. Article
  15. Article
  16. Review
  17. Article
  18. Social risk factors among individuals with a history of cancer during the COVID-19 pandemic.Journal of cancer survivorship : research and practice · 2023
    Article
  19. Article
  20. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors.

Mary C PolitiDivision of Public Health Sciences, Department of Surgery, Washington University in St. Louis, St. Louis, Missouri, USA.ORCID 0000-0001-9103-6495
Rachel L GrantDivision of Public Health Sciences, Department of Surgery, Washington University in St. Louis, St. Louis, Missouri, USA.
Nerissa P GeorgeDivision of Public Health Sciences, Department of Surgery, Washington University in St. Louis, St. Louis, Missouri, USA.
Abigail R BarkerBrown School and Center for Health Economics and Policy, Institute for Public Health, Washington University in St. Louis, St. Louis, Missouri, USA.
Aimee S JamesDivision of Public Health Sciences, Department of Surgery, Washington University in St. Louis, St. Louis, Missouri, USA.
Lindsay M KurokiDivision of Gynecologic Oncology, Department of Obstetrics and Gynecology, Washington University School of Medicine in St. Louis, St. Louis, Missouri, USA.
Timothy D McBrideBrown School and Center for Health Economics and Policy, Institute for Public Health, Washington University in St. Louis, St. Louis, Missouri, USA.
Jingxia LiuDivision of Public Health Sciences, Department of Surgery, Washington University in St. Louis, St. Louis, Missouri, USA.
Courtney M GoodwinDivision of Public Health Sciences, Department of Surgery, Washington University in St. Louis, St. Louis, Missouri, USA.

Funding

Washington University Center for Cellular ImagingP30CA091842 · NCI · WASHINGTON UNIVERSITY · PI AIMEE S JAMES · 2001 to 2026
$128.0M
Washington University Institute of Clinical and Translational Sciences (KL2) KL2TR002346 · NCATS · WASHINGTON UNIVERSITY · PI Dominic N Reeds · 2017 to 2026
$14.0M
Washington University Implementation Science Center for Cancer Control (WU-ISCCC)P50CA244431 · NCI · WASHINGTON UNIVERSITY · PI BROWNSON, ROSS C, COLDITZ, GRAHAM A. · 2019 to 2023
$8.0M
NCATS NIH HHS KL2 TR002346NCI NIH HHS P30 CA091842NCI NIH HHS P50 CA244431
6 · The paper itself

Abstract

backgroundMany 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

methodsEligible 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.

resultsA 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.

conclusionI 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.

Indexed as

Health LiteracyNeoplasmsAgedDecision Support TechniquesHumansInsurance, HealthMedically UninsuredMedicareUnited StatesCancer survivorsDecision support techniquesHealthHealth literacyInsuranceSelf-efficacy

Identifiers

PMID32108976
PMCPMC7356712

What OpenQuestion holds

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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.