# BRidging Information Divides and Gaps to Ensure Survivorship: the BRIDGES Randomized Controlled Trial of a Multilevel Intervention to Improve Adherence to Childhood Cancer Survivorship

> **NIH NIH R01** · GEORGETOWN UNIVERSITY · 2021 · $647,111

## Abstract

PROJECT SUMMARY
More than 80% of childhood cancer survivors (CCS) develop serious or life-threatening late effects. Yet <20%
of CCS receive recommended survivorship care, despite the availability of consensus guidelines for lifelong
surveillance for late effects starting 2 years post-therapy. The “gold standard” cancer center-based survivorship
clinic provides high-quality care to CCS who attend, but patients avoid reminders of their past cancer and lack
knowledge and self-efficacy for survivorship care. Other barriers include travel distance, inadequate insurance,
and out-of-pocket costs—these structural issues contribute to health disparities. Partnering with community
primary care provider (PCP) clinics in a shared model of care is a promising strategy to overcome these barriers,
but PCPs lack knowledge, self-efficacy, and interactive communication with the cancer center and are confused
about the division of care responsibilities. Our intervention is scalable and distance-based, is informed directly
by patient and PCP barriers and preferences from previous studies, and is boosted by a nationwide explosion in
telehealth services precipitated by the COVID-19 crisis. The proposed randomized controlled trial will enroll 240
CCS 2.0-4.0 years post-chemotherapy/radiation to investigate an innovative multi-level intervention (i.e.,
interpersonal and organizational levels) consisting of 1) patient survivorship education via telehealth with the
cancer center, 2) ongoing patient-tailored education program within the EHR's patient portal, 3) a structured
interactive phone communication between the cancer center and the PCP clinic (with 1-year follow-up call), and
4) an in-person visit with the PCP clinic for survivorship care. The comparison group will be randomized to an
in-person visit with their cancer center survivorship clinic. This study includes 4 centers with high proportions of
subgroups vulnerable to survivorship care disparities (i.e., rural, Black, Latinx, Spanish-speaking,
socioeconomically disadvantaged). Both groups will be asked to begin recommended surveillance for late effects
within 1-year post-randomization, separate from tumor recurrence monitoring by the primary oncologist. Our
Specific Aims are to Aim 1- Demonstrate patient completion of guideline-recommended surveillance tests in
intervention participants is not inferior, i.e. within 10%, to that in the comparison group; Aim 2- Achieve greater
1) patient knowledge, self-efficacy, and activation and 2) PCP knowledge and self-efficacy with survivorship care
among intervention participants and their PCPs compared to the comparison group; and Aim 3- Ascertain
process outcomes for the 1) patient and 2) PCP clinic. Outcomes will also be assessed among subgroups with
survivorship care disparities. Transformative Impact: If our intervention demonstrates patient completion of
recommended survivorship care comparable to cancer center survivorship clinic, our study has the enormous
potentia...

## Key facts

- **NIH application ID:** 10274932
- **Project number:** 1R01CA261881-01
- **Recipient organization:** GEORGETOWN UNIVERSITY
- **Principal Investigator:** NINA S KADAN-LOTTICK
- **Activity code:** R01 (R01, R21, SBIR, etc.)
- **Funding institute:** NIH
- **Fiscal year:** 2021
- **Award amount:** $647,111
- **Award type:** 1
- **Project period:** 2021-09-21 → 2026-08-31

## Primary source

NIH RePORTER: https://reporter.nih.gov/project-details/10274932

## Citation

> US National Institutes of Health, RePORTER application 10274932, BRidging Information Divides and Gaps to Ensure Survivorship: the BRIDGES Randomized Controlled Trial of a Multilevel Intervention to Improve Adherence to Childhood Cancer Survivorship (1R01CA261881-01). Retrieved via AI Analytics 2026-05-23 from https://api.ai-analytics.org/grant/nih/10274932. Licensed CC0.

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