Evidence map›Paper›PMID 30653790›Full record

ArticleJournal of genetic counseling2019

Using the diffusion of innovations model to guide participant engagement in the genomics era.

Katie L Lewis, Flavia M Facio, Courtney D Berrios

Abstract read
In one paragraph

Article in Journal of genetic counseling, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
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

3 authors.

Katie L LewisMedical Genomics and Metabolic Genetics Branch, National Human Genome Research Institute, Bethesda, Maryland.ORCID 0000-0002-2292-6854
Flavia M FacioMedical Genomics and Metabolic Genetics Branch, National Human Genome Research Institute, Bethesda, Maryland.
Courtney D BerriosCenter for Pediatric Genomic Medicine, Children's Mercy Kansas City, Kansas City, Missouri.

Funding

Intramural NIH HHS Z99 HG999999
6 · The paper itself

Abstract

Exome and genome sequencing (EGS) are increasingly the genetic testing modalities of choice among researchers owing to their ready availability, low cost, and large data output. Recruitment of larger, more diverse cohorts into long-term studies with extensive data collection is fundamental to the success of EGS research and to the widespread benefit of genomic medicine to various populations. Effective engagement will be critical to meeting this demand. The Diffusion of Innovation (DOI) model provides a framework for how new technologies are adopted in communities, including antecedents of an individual's decision to adopt the technology, how the technology's attributes influence its acceptability, the predictors of sustained use of that technology, and its diffusion through society. We apply the DOI model to frame participant engagement in EGS research and to guide the proposal of potential strategies that aim to overcome forecasted challenges. Finally, we suggest a variety of ways genetic counselors can apply their skills and training to the development and implementation of these strategies.

Indexed as

Diffusion of InnovationGenetic TestingPatient ParticipationWhole Genome SequencingAdultExome SequencingGenomicsHumansdiffusion of innovationdiversityearly adoptersengagementexome sequencinggenome sequencing

Identifiers

PMID30653790
PMCPMC6456416

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

None linked

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.