Improving Comprehensive Cancer Screening Among Vulnerable Patients Using Patient Navigation
1 other identifier
interventional
1,612
0 countries
N/A
Brief Summary
Patient navigation (PN) has been shown to improve rates of cancer screening in vulnerable populations. Most cancer PN programs are located in community health centers and focus on a single cancer. The investigators will evaluate the impact of PN program on breast, cervical, and/or colorectal cancer screening in vulnerable patients receiving care in a large, academic, primary care network using a population-based IT system.
Trial Health
Trial Health Score
Automated assessment based on enrollment pace, timeline, and geographic reach
participants targeted
Target at P75+ for not_applicable
Started Apr 2014
Shorter than P25 for not_applicable
Health score is calculated from publicly available data and should be used for screening purposes only.
Trial Relationships
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Study Timeline
Key milestones and dates
Study Start
First participant enrolled
April 1, 2014
CompletedPrimary Completion
Last participant's last visit for primary outcome
December 1, 2014
CompletedStudy Completion
Last participant's last visit for all outcomes
December 1, 2014
CompletedFirst Submitted
Initial submission to the registry
September 16, 2015
CompletedFirst Posted
Study publicly available on registry
September 17, 2015
CompletedResults Posted
Study results publicly available
March 26, 2018
CompletedMarch 26, 2018
August 1, 2017
8 months
September 16, 2015
September 20, 2016
August 29, 2017
Conditions
Keywords
Outcome Measures
Primary Outcomes (2)
Percentage of Cancer Screening Tests Completed - Intention to Treat
The primary outcome was the overall cancer screening test completion rate over the follow-up period for each eligible patient, with all eligible cancers combined in intention to treat analyses. For example, a patient who was eligible for a total of 3 screening tests at a given time could have a completion rate of 0% (none of the 3 tests completed) 33%, 67%, or 100% (all 3 tests completed). By assessing each patient's completion rate over the 8-month follow-up period, the average completion rate over time was estimated from the area under the curve. We also calculated the completion rate for each individual cancer as the percentage of time screening was up to date among eligible patients during follow-up.
8 months
Percentage of Cancer Screening Tests Completed - As Treated
The primary outcome was the average cancer screening test completion rate over the follow-up period for each eligible patient, with all eligible cancers combined in as treated analyses - excluding patients who either left the network or died during follow-up. The cancer screening test completion rate for each subject was calculated daily, then averaged across the 8-month study period. On any given day, the screening test completion rate was calculated as the number of tests completed divided by the number of eligible tests.
8 Months
Secondary Outcomes (2)
Percentage of Patients Completing Any Cancer Screening Test (Intention to Treat)
8 Months
Percentage of Patients Completing Any Cancer Screening Test (As Treated)
8 Months
Study Arms (2)
Patient Navigation Intervention
EXPERIMENTALParticipants randomized to the intervention arm were transferred to a navigator roster within the TopCare application for the 8-month study period. Navigators utilized TopCare to track these participants, reach out to them in their own language, and provide intense outreach to help them complete cancer screening.
Standard of Care - No Intervention
NO INTERVENTIONParticipants randomized to the control arm received usual care within TopCare, which meant that clinicians and staff could elect to send the participant a reminder letter about their overdue cancer screening exams, reach out to schedule overdue exams, or document appropriate reasons for deferral or exclusion.
Interventions
Navigators utilized TopCare to track participants, reach out to them in their own language, and provide intense outreach to help them complete cancer screening.
Eligibility Criteria
You may qualify if:
- Age 21-75
- Seen in MGPC Practices within the Past 3 Years
- Linked to a Specific PCP or to a Specific Practice
You may not qualify if:
- A PCP Outside of the MGPC-PBRN network
- Greater Than 75 Years Old
- MGH Chelsea Health Center Patients
Contact the study team to confirm eligibility.
Sponsors & Collaborators
Related Publications (8)
Beaber EF, Kim JJ, Schapira MM, Tosteson AN, Zauber AG, Geiger AM, Kamineni A, Weaver DL, Tiro JA; Population-based Research Optimizing Screening through Personalized Regimens Consortium. Unifying screening processes within the PROSPR consortium: a conceptual model for breast, cervical, and colorectal cancer screening. J Natl Cancer Inst. 2015 May 7;107(6):djv120. doi: 10.1093/jnci/djv120. Print 2015 Jun.
PMID: 25957378BACKGROUNDBerkowitz SA, Percac-Lima S, Ashburner JM, Chang Y, Zai AH, He W, Grant RW, Atlas SJ. Building Equity Improvement into Quality Improvement: Reducing Socioeconomic Disparities in Colorectal Cancer Screening as Part of Population Health Management. J Gen Intern Med. 2015 Jul;30(7):942-9. doi: 10.1007/s11606-015-3227-4. Epub 2015 Feb 13.
PMID: 25678378BACKGROUNDZai AH, Kim S, Kamis A, Hung K, Ronquillo JG, Chueh HC, Atlas SJ. Applying operations research to optimize a novel population management system for cancer screening. J Am Med Inform Assoc. 2014 Feb;21(e1):e129-35. doi: 10.1136/amiajnl-2013-001681. Epub 2013 Sep 16.
PMID: 24043318BACKGROUNDAtlas SJ, Zai AH, Ashburner JM, Chang Y, Percac-Lima S, Levy DE, Chueh HC, Grant RW. Non-visit-based cancer screening using a novel population management system. J Am Board Fam Med. 2014 Jul-Aug;27(4):474-85. doi: 10.3122/jabfm.2014.04.130319.
PMID: 25002002BACKGROUNDPercac-Lima S, Lopez L, Ashburner JM, Green AR, Atlas SJ. The longitudinal impact of patient navigation on equity in colorectal cancer screening in a large primary care network. Cancer. 2014 Jul 1;120(13):2025-31. doi: 10.1002/cncr.28682. Epub 2014 Apr 1.
PMID: 24691564BACKGROUNDPercac-Lima S, Ashburner JM, Bond B, Oo SA, Atlas SJ. Decreasing disparities in breast cancer screening in refugee women using culturally tailored patient navigation. J Gen Intern Med. 2013 Nov;28(11):1463-8. doi: 10.1007/s11606-013-2491-4. Epub 2013 May 18.
PMID: 23686510BACKGROUNDPercac-Lima S, Grant RW, Green AR, Ashburner JM, Gamba G, Oo S, Richter JM, Atlas SJ. A culturally tailored navigator program for colorectal cancer screening in a community health center: a randomized, controlled trial. J Gen Intern Med. 2009 Feb;24(2):211-7. doi: 10.1007/s11606-008-0864-x.
PMID: 19067085BACKGROUNDPercac-Lima S, Ashburner JM, Zai AH, Chang Y, Oo SA, Guimaraes E, Atlas SJ. Patient Navigation for Comprehensive Cancer Screening in High-Risk Patients Using a Population-Based Health Information Technology System: A Randomized Clinical Trial. JAMA Intern Med. 2016 Jul 1;176(7):930-7. doi: 10.1001/jamainternmed.2016.0841.
PMID: 27273602DERIVED
MeSH Terms
Conditions
Interventions
Condition Hierarchy (Ancestors)
Intervention Hierarchy (Ancestors)
Results Point of Contact
- Title
- Dr. Sanja Percac-Lima
- Organization
- Massachusetts General Hospital
Study Officials
- PRINCIPAL INVESTIGATOR
Sanja Percac-Lima, MD
Massachusetts General Hospital
Publication Agreements
- PI is Sponsor Employee
- Yes
- Restrictive Agreement
- No
Study Design
- Study Type
- interventional
- Phase
- not applicable
- Allocation
- RANDOMIZED
- Masking
- NONE
- Purpose
- SCREENING
- Intervention Model
- PARALLEL
- Sponsor Type
- OTHER
- Responsible Party
- PRINCIPAL INVESTIGATOR
- PI Title
- Assistant Professor in Medicine at Harvard Medical School; Primary Care Physician at MGH Chelsea Community HealthCare Center
Study Record Dates
First Submitted
September 16, 2015
First Posted
September 17, 2015
Study Start
April 1, 2014
Primary Completion
December 1, 2014
Study Completion
December 1, 2014
Last Updated
March 26, 2018
Results First Posted
March 26, 2018
Record last verified: 2017-08
Data Sharing
- IPD Sharing
- Will not share