Evidence map›Paper›PMID 37821977›Full record

ArticleImplementation science communications2023

Use of a multi-phased approach to identify and address facilitators and barriers to the implementation of a population-wide genomic screening program.

Caitlin G Allen, Katherine Sterba, Samantha Norman, Amy Jackson, Kelly J Hunt, Lori McMahon, Daniel P Judge

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In one paragraph

Article in Implementation science communications, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

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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

7 authors.

Caitlin G AllenDepartment of Public Health Science, College of Medicine, Medical University of South Carolina, Charleston, SC, USA. allencat@musc.edu.ORCID http://orcid.org/0000-0002-6288-3529
Katherine SterbaDepartment of Public Health Science, College of Medicine, Medical University of South Carolina, Charleston, SC, USA.
Samantha NormanIn Our DNA SC, Medical University of South Carolina, Charleston, SC, USA.
Amy JacksonIn Our DNA SC, Medical University of South Carolina, Charleston, SC, USA.
Kelly J HuntDepartment of Public Health Science, College of Medicine, Medical University of South Carolina, Charleston, SC, USA.
Lori McMahonResearch Office, Medical University of South Carolina, Charleston, SC, USA.
Daniel P JudgeIn Our DNA SC, Medical University of South Carolina, Charleston, SC, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionPopulation-wide genomic screening for CDC Tier-1 conditions offers the ability to identify the 1-2% of the US population at increased risk for Hereditary Breast and Ovarian Cancer, Lynch Syndrome, and Familial Hypercholesterolemia. Implementation of population-wide screening programs is highly complex, requiring engagement of diverse collaborators and implementation teams. Implementation science offers tools to promote integration of these programs through the identification of determinants of success and strategies to address potential barriers.

methodsPrior to launching the program, we conducted a pre-implementation survey to assess anticipated barriers and facilitators to reach, effectiveness, adoption, implementation, and maintenance (RE-AIM), among 51 work group members (phase 1). During the first year of program implementation, we completed coding of 40 work group meetings guided by the Consolidated Framework for Implementation Research (CFIR) (phase 2). We matched the top barriers to implementation strategies identified during phase 2 using the CFIR-ERIC (Expert Recommendation for Implementing Change) matching tool.

resultsStaffing and workload concerns were listed as the top barrier in the pre-implementation phase of the program. Top barriers during implementation included adaptability (n = 8, 20%), complexity (n = 14, 35%), patient needs and resources (n = 9, 22.5%), compatibility (n = 11, 27.5%), and self-efficacy (n = 9, 22.5%). We identified 16 potential implementation strategies across six ERIC clusters to address these barriers and operationalized these strategies for our specific setting and program needs.

conclusionOur findings provide an example of successful use of the CFIR-ERIC tool to guide implementation of a population-wide genomic screening program.

Identifiers

PMID37821977
PMCPMC10566189

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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.