Evidence map›Paper›PMID 33431063›Full record

ArticleImplementation science communications2021

What's the "secret sauce"? How implementation variation affects the success of colorectal cancer screening outreach.

Jennifer Coury, Edward J Miech, Patricia Styer, Amanda F Petrik, Kelly E Coates, Beverly B Green, Laura-Mae Baldwin, Jean A Shapiro, Gloria D Coronado

Abstract read
In one paragraph

Article in Implementation science communications, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers.

0numbers the graph read from it
0cells of the map it votes in
28citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

28 citing papers in PubMed.

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  13. Improving colorectal cancer screening in rural primary care: Preliminary effectiveness and implementation of a collaborative mailed fecal immunochemical test pilot.The Journal of rural health : official journal of the American Rural Health Association and the National Rural Health Care Association · 2023
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors.

Jennifer CouryOregon Rural Practice-based Research Network, Oregon Health & Science University, 3181 S.W. Sam Jackson Park Rd., Mail Code L222, Portland, OR, 97239, USA. coury@ohsu.edu.ORCID http://orcid.org/0000-0002-3597-9517
Edward J MiechCenter for Health Services Research, Regenstrief Institute, Indianapolis, IN, USA.
Patricia StyerBusiness Administration, Southern Oregon University, Ashland, OR, USA.
Amanda F PetrikCenter for Health Research, Kaiser Permanente Northwest, Portland, OR, USA.
Kelly E CoatesQuality Improvement Program Administrator, CareOregon, Inc., Portland, OR, USA.
Beverly B GreenKaiser Permanente Washington Health Research Institute, Kaiser Permanente Washington, Seattle, WA, USA.
Laura-Mae BaldwinDepartment of Family Medicine, University of Washington School of Medicine, Seattle, WA, USA.
Jean A ShapiroDivision of Cancer Prevention and Control, Centers for Disease Control and Prevention, Chamblee, GA, USA.
Gloria D CoronadoCenter for Health Research, Kaiser Permanente Northwest, Portland, OR, USA.

Funding

ACL HHS U48DP005013CDC HHS U48DP005013NCCDPHP CDC HHS U48 DP005013
6 · The paper itself

Abstract

backgroundMailed fecal immunochemical testing (FIT) programs can improve colorectal cancer (CRC) screening rates, but health systems vary how they implement (i.e., adapt) these programs for their organizations. A health insurance plan implemented a mailed FIT program (named BeneFIT), and participating health systems could adapt the program. This multi-method study explored which program adaptations might have resulted in higher screening rates.

methodsFirst, we conducted a descriptive analysis of CRC screening rates by key health system characteristics and program adaptations. Second, we generated an overall model by fitting a weighted regression line to our data. Third, we applied Configurational Comparative Methods (CCMs) to determine how combinations of conditions were linked to higher screening rates. The main outcome measure was CRC screening rates.

resultsSeventeen health systems took part in at least 1 year of BeneFIT. The overall screening completion rate was 20% (4-28%) in year 1 and 25% (12-35%) in year 2 of the program. Health systems that used two or more adaptations had higher screening rates, and no single adaptation clearly led to higher screening rates. In year 1, small systems, with just one clinic, that used phone reminders (n = 2) met the implementation success threshold (≥ 19% screening rate) while systems with > 1 clinic were successful when offering a patient incentive (n = 4), scrubbing mailing lists (n = 4), or allowing mailed FIT returns with no other adaptations (n = 1). In year 2, larger systems with 2-4 clinics were successful with a phone reminder (n = 4) or a patient incentive (n = 3). Of the 10 systems that implemented BeneFIT in both years, seven improved their CRC screening rates in year 2.

conclusionsHealth systems can choose among many adaptations and successfully implement a health plan's mailed FIT program. Different combinations of adaptations led to success with health system size emerging as an important contextual factor.

Indexed as

Cancer preventionCancer screening outreachColorectal cancerImplementationProgram adaptation

Identifiers

PMID33431063
PMCPMC7802298

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.