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| ID | Type | Description | Link |
|---|---|---|---|
| P50CA244433 | U.S. NIH Grant/Contract | View source |
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| Name | Class |
|---|---|
| National Cancer Institute (NCI) | NIH |
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The investigators will use a mixed methods study i.e. focus groups involving CHC staff as well as quantitative study which involves analyzing data that is available from the EHR and DRVS population management platform.
Aim 1: Describe the demographics of the populations aged 45 - 49, 50-4, and over 55 to understand baseline screening needs and disparities.
Overview: The investigators will characterize the population in these age groups in order to understand resources needed to screen patients at age 50 and to expand screening to the USPSTF's draft guideline if passed.
Setting: The investigators will select 4 CHCs with distinctly diverse populations for Aim 1 and Aim 2.
Approach: The investigators will examine data from the EHR and the DRVS platform to determine: (1) the size and demographics of the three age groups; (2) the frequency in which this population presents to the CHC for primary care and other visits; and (3) current screening initiation patterns. Based on the findings of the investigator's initial evaluation, the investigators will estimate the additional colorectal cancer screening tests that will be required to screen this population promptly at age 50 and the additional resources that will be needed at each health center to meet this need. The investigators will also estimate the impact of a lower age of screening initiation. Analysis will be stratified by race/ethnicity, gender, age and insurance status to assess for any disparities that might be present.
Data Collection and Management: The DRVS population management platform provides the data needed to evaluate Aim 1. The Implementation Science Center for Cancer Control Equity (ISCCCE) data management team will pull the data needed for the participating CHCs, once selected. The investigators have existing data use agreements that will be amended for this specific project. Data flows and management procedures have already been established and will serve to expedite this study.
Aim 2: Conduct focus groups with key personnel to identify barriers and facilitators to screening in 4 different health centers with uniquely diverse populations.
Overview: The investigators will conduct focus groups to understand barriers and facilitators to colorectal cancer screening including perceptions around the change in screening age, attitudes about specific strategies to facilitate colorectal cancer screening (e.g. use of technological-based solutions to prompt screening, task shifting with integration of medical assistants into the screening process), proposed strategies to improve screening at the health center, and other likely barriers and facilitators.
Approach: The investigators will conduct focus groups with key personnel at the 4 participating health centers. The investigators will include an administrative leader and population health managers, data analysts and quality improvement staff, as well as nurse/practice managers, medical assistants, and providers (MD, NP, and/or PA). Focus groups will address: (1) barriers and facilitators to timely screening initiation; (2) perceptions around using technological solutions to prompt colorectal cancer screening; and (3) perceptions about task-shifting with integration of the medical assistants into the colorectal cancer screening process. Distinct barriers and facilitators/determinants will be identified at the patient, provider and system-level. These determinants will be prioritized (high, medium, low) based on number of times referenced in the interviews.
Data Analysis: Focus group data will be analyzed to identify key themes related to barriers and facilitators to screening.
Outcomes: The outcome of this aim will be identified barriers and facilitators to colorectal cancer screening at health centers with a key focus on understanding perceptions around utilization of technological solutions (e.g. pre-existing text message platforms at health centers, electronic registries) and integration of the medical assistants into the CRC screening workflow.
Aim 3: Develop and test intervention components to anticipate and address barriers and facilitators at the patient, provider and system-level using rapid cycle methods.
Overview: We will identify implementation strategies at patient, provider and systems-levels and match to identified Aim 2 barriers and facilitators, use design probes to understand the workflows and preconditions for implementation strategies, and individually test strategies using rapid cycle methods.
Approach:
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| Label | Type | Description | Intervention Names |
|---|---|---|---|
| Introduction of Implementation Strategies | Other | The investigators will determine the best intervention and strategy (and thus implementers) based on high ranking barriers/facilitators identified in focus groups. A minimum of 2 implementation strategies will be developed and implemented at each level (patient, provider, system) at each site that considers (1) implementation strategy; (2) mechanism in which the strategy impacts the identified determinant (3) the determinant; (4) moderators that may influence the impact of the strategy; (5) the preconditions necessary for successful implementation; and (6) implementation outcomes affected. Each community health center (CHC) will serve as its own separate subject, and individual strategies will be tested using single case experimental design (SCED) at each CHC using component analysis to rapidly test and optimize our strategies. In SCED each subject serves as their own control, an intervention is systematically introduced and withdrawn, and the effects of the intervention are measured. |
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| Withdrawal of Implementation Strategies | No Intervention | In SCED each subject serves as their own control, an intervention is systematically introduced and withdrawn, and the effects of the intervention are measured. |
| Name | Type | Description | Arm Group Labels | Other Names |
|---|---|---|---|---|
| Implementation Science Strategy | Behavioral | The investigators will be conducting focus groups and identifying barriers and facilitators, and the investigators will be matching identified barriers and facilitators to implementation strategies at the patient, provider, and system level which the investigators will be testing using rapid-cycle methods. |
| Measure | Description | Time Frame |
|---|---|---|
| Primary Outcome 1: Acceptability of Implementation Strategies | The investigators will measure the acceptability of the implementation strategies determined in Aim 2. This will be measured through a post-implementation survey given to the CHC staff members who participate in systems-level implementation at the two CHC pilot test sites in Aim 3. | 4 months |
| Primary Outcome 2: Feasibility of Implementation Strategies | The investigators will measure the feasibility of the implementation strategies determined in Aim 2. This will be measured through a post-implementation survey given to the CHC staff members who participate in systems-level implementation at the two CHC pilot test sites in Aim 3. | 4 months |
| Primary Outcome 3: Appropriateness of Implementation Strategies | The investigators will measure the appropriateness of the implementation strategies determined in Aim 2. This will be measured through a post-implementation survey given to the CHC staff members who participate in systems-level implementation at the two CHC pilot test sites in Aim 3. | 4 months |
| Measure | Description | Time Frame |
|---|---|---|
| Secondary Outcome: CRC Screening Rates | The secondary outcomes will be change in colorectal cancer screening rate. This will be measured by the difference in the colorectal cancer screening tests ordered and completed compared to the pre-implementation period. | 4 months |
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Inclusion Criteria:
Exclusion Criteria:
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| Name | Role | Phone | Extension | |
|---|---|---|---|---|
| Adjoa Anyane-Yeboa, MD, MPH | Contact | 617-726-2426 | aanyane-yeboa@mgh.harvard.edu | |
| Nathan Yoguez, MPH | Contact | nyoguez@mgh.harvard.edu |
| Name | Affiliation | Role |
|---|---|---|
| Adjoa Anyane-Yeboa, MD, MPH | Mass General Hospital // Harvard Medical School | Principal Investigator |
| Facility | Status | City | State | ZIP | Country | Contacts |
|---|---|---|---|---|---|---|
| Codman Square Health Center | Recruiting | Boston | Massachusetts | 02124 | United States |
| PubMed Identifier | Type | Citation | Retractions |
|---|---|---|---|
| Background | Roundtable NCC. Data & Progress. National Colorectal Cancer Roundtable; 2020. | ||
| 32133645 | Background | Siegel RL, Miller KD, Goding Sauer A, Fedewa SA, Butterly LF, Anderson JC, Cercek A, Smith RA, Jemal A. Colorectal cancer statistics, 2020. CA Cancer J Clin. 2020 May;70(3):145-164. doi: 10.3322/caac.21601. Epub 2020 Mar 5. | |
| 28376186 |
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No IPD will be shared with other researchers.
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| ID | Term |
|---|---|
| D003110 | Colonic Neoplasms |
| D015179 | Colorectal Neoplasms |
| D009369 | Neoplasms |
| ID | Term |
|---|---|
| D007414 | Intestinal Neoplasms |
| D005770 | Gastrointestinal Neoplasms |
| D004067 | Digestive System Neoplasms |
| D009371 | Neoplasms by Site |
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The investigators will use a mixed methods approach involving qualitative focus groups with health center providers and staff to identify barriers and facilitators to screening, and implementation science methods to test multilevel implementation strategies at the health centers.
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| Brockton Neighborhood Health Center | Recruiting | Brockton | Massachusetts | 02301 | United States |
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| East Boston Neighborhood Health Center | Recruiting | East Boston | Massachusetts | 02128 | United States |
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| Duffy Health Center | Recruiting | Hyannis | Massachusetts | 02601 | United States |
|
| Background |
| Siegel RL, Fedewa SA, Anderson WF, Miller KD, Ma J, Rosenberg PS, Jemal A. Colorectal Cancer Incidence Patterns in the United States, 1974-2013. J Natl Cancer Inst. 2017 Aug 1;109(8):djw322. doi: 10.1093/jnci/djw322. |
| Background | Roundtable NC. American Cancer Society. Accessed November 5, 2020, https://nccrt.org/what-we-do/80-percentby-2018/ |
| 24393412 | Background | Ahnen DJ, Wade SW, Jones WF, Sifri R, Mendoza Silveiras J, Greenamyer J, Guiffre S, Axilbund J, Spiegel A, You YN. The increasing incidence of young-onset colorectal cancer: a call to action. Mayo Clin Proc. 2014 Feb;89(2):216-24. doi: 10.1016/j.mayocp.2013.09.006. Epub 2014 Jan 4. |
| 29846947 | Background | Wolf AMD, Fontham ETH, Church TR, Flowers CR, Guerra CE, LaMonte SJ, Etzioni R, McKenna MT, Oeffinger KC, Shih YT, Walter LC, Andrews KS, Brawley OW, Brooks D, Fedewa SA, Manassaram-Baptiste D, Siegel RL, Wender RC, Smith RA. Colorectal cancer screening for average-risk adults: 2018 guideline update from the American Cancer Society. CA Cancer J Clin. 2018 Jul;68(4):250-281. doi: 10.3322/caac.21457. Epub 2018 May 30. |
| Background | Force USPST. Draft Recommendation Statement: Colorectal Cancer Screening. U.S. Preventive Services Task Force; 2020. |
| 26844165 | Background | Brown T, Lee JY, Park J, Nelson CA, McBurnie MA, Liss DT, Kaleba EO, Henley E, Harigopal P, Grant L, Crawford P, Carroll JE, Alperovitz-Bichell K, Baker DW. Colorectal cancer screening at community health centers: A survey of clinicians' attitudes, practices, and perceived barriers. Prev Med Rep. 2015 Sep 21;2:886-91. doi: 10.1016/j.pmedr.2015.09.003. eCollection 2015. |
| 18304342 | Background | Lasser KE, Ayanian JZ, Fletcher RH, Good MJ. Barriers to colorectal cancer screening in community health centers: a qualitative study. BMC Fam Pract. 2008 Feb 27;9:15. doi: 10.1186/1471-2296-9-15. |
| 15207986 | Background | O'Malley AS, Beaton E, Yabroff KR, Abramson R, Mandelblatt J. Patient and provider barriers to colorectal cancer screening in the primary care safety-net. Prev Med. 2004 Jul;39(1):56-63. doi: 10.1016/j.ypmed.2004.02.022. |
| 16049812 | Background | Matthews BA, Anderson RC, Nattinger AB. Colorectal cancer screening behavior and health insurance status (United States). Cancer Causes Control. 2005 Aug;16(6):735-42. doi: 10.1007/s10552-005-1228-z. |
| 25264468 | Background | Dallery J, Raiff BR. Optimizing behavioral health interventions with single-case designs: from development to dissemination. Transl Behav Med. 2014 Sep;4(3):290-303. doi: 10.1007/s13142-014-0258-z. |
| 21541152 | Background | Ward-Horner J, Sturmey P. Component analyses using single-subject experimental designs: a review. J Appl Behav Anal. 2010 Winter;43(4):685-704. doi: 10.1901/jaba.2010.43-685. |
| D004066 | Digestive System Diseases |
| D005767 | Gastrointestinal Diseases |
| D003108 | Colonic Diseases |
| D007410 | Intestinal Diseases |
| D012002 | Rectal Diseases |