About this trial
This clinical trial develops and tests how well a multi-level intervention (MLI), The Ohio State University (OSU) SCREEN Community Program, works to increase screening and follow-up for breast, cervical and colorectal (CRC) cancer among low-income and un/underinsured female residents in three counties in Central Ohio. In Ohio, incidence and mortality rates for breast, cervical and CRC are higher than or similar to the national average; in addition, underserved populations - minority, rural and low-income women - have higher rates of these cancers. Screening can detect precancerous colorectal and cervical lesions and other early-stage cancers when treatment is less intensive and more successful and is known to reduce mortality rates for breast, cervical, and CRC, however many of these women lack access to health care and screenings. This MLI includes clinic-based components, such as patient education, as well as community-based strategies, such as media programs and training health workers, that can increase rates of guideline-recommended breast, cervical and CRC screening and follow-ups in underserved populations. The OSU SCREEN Community Program may be an effective way to improve breast, cervical and CRC screenings among underserved women in Ohio.
Eligibility criteria
This trial accepts healthy volunteersQualifiers
Level 1 is the health clinics (Helping Hands [pilot]; 6 Lower Lights clinics). Clinics are eligible if they provide preventive health care to residents of the targeted census tracts.
Level 2 focuses on health care providers (physicians, nurses, physician assistants [PA]/nurse practitioners [NPs]) and office staff practicing at participating clinics who are involved in the screening and/or screening referral process (determined by individual clinical sites) and can speak, read, and write English
Patients (Level 3) are the recipients of health care and screening interventional strategies implemented by clinics and providers.
Level 4 is the community to include residents in targeted census tracts around each clinic.
Disqualifiers
None
Trial design
Sequential
Treatments tested in this trial
Cancer Screening
Other interventionUndergo cancer screening
Discussion
Other interventionParticipate in discussions
Educational Activity
Other interventionReceive coaching calls
Educational Intervention
Other interventionReceive educational materials
Focus Group
BehavioralParticipate in focus group
Health Care Delivery
Other interventionIntegrate new activities into usual clinic processes
Health Promotion
Other interventionPromote screening and wellness visits
Health Promotion and Education
Other interventionParticipate in educational sessions
Health Promotion and Education
Other interventionParticipate in early wave MLI
Health Promotion and Education
Other interventionParticipate in late wave MLI
Health Risk Assessment
BehavioralIncorporate risk assessments
Implementation
Procedure/SurgeryImplement MLI
Informational Intervention
Other interventionReview MLI materials
Internet-Based Intervention
Other interventionReceive educational online materials
Interview
Other interventionParticipate in interview
Outreach
BehavioralReceive outreach activities
Patient Navigation
BehavioralReceive access to CHW
Survey Administration
Other interventionAncillary studies
Treatment groups
7
Treatment groupsSee each treatment group below.
Trial outcomes
Primary outcomes
Up to date (UTD) status for all three screenings (Early Intervention Wave)
Will be assessed by the difference in proportions of being UTD with all age-appropriate screening tests using electronic health record (EHR) data. Rates will be examined by age, race/ethnicity, residence, payer status, provider, time since last visit, and rates of other cancer screening. Repeated measure Generalized Estimating Equations (GEE) models with compound symmetry correlation structure and robust variance will be used to compare change between the early and delayed intervention groups adjusting for baseline UTD screening rates of the targeted communities. Adjustment for baseline UTD screening rates and rates of follow up for abnormal test will control for any differences by intervention group due to chance and will increase power by decreasing the standard error of the treatment effect. To account for differences in number of respondents across targeted communities, GEE models will be weighted using an approach described by Johnson et al.
Status of follow-up for abnormal tests (Early Intervention Wave)
Will be assessed by the difference in follow-up rates for abnormal tests using EHR data. GEE models with compound symmetry correlation structure and robust variance will be used to compare change between the early and delayed intervention groups adjusting for baseline UTD screening rates of the targeted communities. Adjustment for baseline UTD screening rates and rates of follow up for abnormal test will control for any differences by intervention group due to chance and will increase power by decreasing the standard error of the treatment effect. To account for differences in number of respondents across targeted communities, GEE models will be weighted using an approach described by Johnson et al.
Secondary outcomes
UTD screening status for all three cancers and follow up rates for abnormal tests
Will be assessed among age-appropriate residents of targeted census tracts. The individual-level UTD status pre- and post-intervention will be obtained from cross-sectional surveys, and it will be defined based on the age-specific United States Preventive Services Task Force Cancer Screening Guidelines screening recommendations for each cancer. A two-level hierarchical mixed-effects logistic regression model will be used to compare the UTD odds between the early and delayed intervention groups. In this two-level design, participants are the level one unit while the clinic areas are the level two unit of analysis, with all subjects in each cluster receiving either the early or delayed intervention. This design will allow to examine the effectiveness of the multi-level intervention at the individual- and cluster levels.
Sponsors and contacts
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Ohio State University Comprehensive Cancer Center
Lead sponsor
American Cancer Society, Inc.
Collaborator