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Using Behavioral Science to Improve Colorectal Cancer Screening Rates With Mailed FIT Kits

Impact of Automated Telephone Outreach on Colorectal Cancer Screening Uptake Among Patients Who Receive Mailed Fecal Immunochemical Tests (FIT)

Status
Completed
Phases
NA
Study type
Interventional
Source
ClinicalTrials.gov
Registry ID
NCT04746469
Acronym
FIT
Enrollment
2500
Registered
2021-02-09
Start date
2020-09-02
Completion date
2022-08-01
Last updated
2022-09-13

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

Colorectal Cancer Screening

Brief summary

As a part of UCLA Health's continued goal of improving patient care the investigators are updating our mailing campaign for our FIT Kit colorectal cancer screening that the investigators administer 2 times per year to include an automated phone call reminder to patients who are overdue for average-risk colorectal cancer screening and enrolled in a mailed FIT program. This will help the investigators evaluate if automated phone calls are effective at improving compliance with CRC screening, in addition to mailed FIT and embedded electronic health record (EHR) portal messages to patients.

Detailed description

UCLA Health has a biannual mailed FIT program designed to capture patients overdue for CRC screening who are average-risk for CRC. With every campaign, the investigators attempt to improve the return rates for patients receiving the FIT Kits. For the current campaign, all patients enrolled will receive usual care and the investigators are delivering an automated phone call to half the eligible patients reminding them to return their FIT kits and prompting them to request a new kit if needed. The investigators will investigate if this intervention increases the number of patients who complete the mailed Fit Kit or any type of CRC screening over a 6-month follow up period. This quality improvement project will help the investigators improve the processes of care for the patients, and community. If this phone call is successful the investigators will likely expand it to the entire population in future FIT Kit mailer campaigns. However, if it is not effective this will help the investigators minimize the number of calls/interventions the investigators send to patients and will hopefully allow for more useful outreach to patients in the future.

Interventions

BEHAVIORALDelayed automated phone call

Cipher provides automated phone calls to patients; in this case the script for Cipher was modified to provide patients a reminder to return FIT kits, allow patients to request a new kit in case they need a replacement, and to allow patients to provide information if they already completed CRC screening

Sponsors

University of California, Los Angeles
Lead SponsorOTHER

Study design

Allocation
RANDOMIZED
Intervention model
PARALLEL
Primary purpose
SCREENING
Masking
NONE

Intervention model description

\ 2500 patients who are overdue for average-risk CRC screening and are enrolled in UCLA Health biannual mailed FIT program will be randomized to either control (mailed FIT kit + standard messaging) or intervention (mailed FIT Kit + standard messaging + delayed automated phone reminder)

Eligibility

Sex/Gender
ALL
Age
50 Years to 75 Years
Healthy volunteers
Yes

Inclusion criteria

* Overdue for average-risk colorectal cancer screening * Active primary care provider at UCLA seen within last 3 years

Exclusion criteria

* Inactive mychart status at time of enrollment * Died within follow-up period * Received FIT kit in prior 6 months

Design outcomes

Primary

MeasureTime frameDescription
Overall colorectal cancer screening uptake (any modality)6 monthsRate of completion of CRC screening by any of the following: FIT, colonoscopy, CT colonography, sigmoidoscopy or FIT-DNA within study period.

Secondary

MeasureTime frameDescription
Colorectal cancer screening uptake by modality6 monthsRate of completion of CRC screening by modality type

Countries

United States

Outcome results

None listed

Source: ClinicalTrials.gov · Data processed: Feb 4, 2026