Evidence map›Paper›PMID 31781158›Full record

ArticleFrontiers in genetics2019

Ensuring Best Practice in Genomic Education and Evaluation: A Program Logic Approach.

Amy Nisselle, Melissa Martyn, Helen Jordan, Nadia Kaunein, Alison McEwen, Chirag Patel, Bronwyn Terrill, Michelle Bishop, Sylvia Metcalfe, Clara Gaff

Abstract read
In one paragraph

Article in Frontiers in genetics, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing 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

17 citing papers in PubMed.

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  13. Teaching graduate research skills in genomics via an integrated 'flipped' journal club program.Biochemistry and molecular biology education : a bimonthly publication of the International Union of Biochemistry and Molecular Biology · 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

10 authors.

Amy NisselleAustralian Genomics Health Alliance, Melbourne, VIC, Australia.
Melissa MartynGenomics in Society, Murdoch Children's Research Institute, Melbourne, VIC, Australia.
Helen JordanMelbourne School of Population and Global Health, The University of Melbourne, Melbourne, VIC, Australia.
Nadia KauneinGenomics in Society, Murdoch Children's Research Institute, Melbourne, VIC, Australia.
Alison McEwenGraduate School of Health, University of Technology Sydney, Sydney, NSW, Australia.
Chirag PatelGenetic Health Queensland, Royal Brisbane and Women's Hospital, Brisbane, QLD, Australia.
Bronwyn TerrillAustralian Genomics Health Alliance, Melbourne, VIC, Australia.
Michelle BishopGenomics Education Program, Health Education England, Birmingham, United Kingdom.
Sylvia MetcalfeAustralian Genomics Health Alliance, Melbourne, VIC, Australia.
Clara GaffAustralian Genomics Health Alliance, Melbourne, VIC, Australia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Targeted genomic education and training of professionals have been identified as core components of strategies and implementation plans for the use of genomics in health care systems. Education needs to be effective and support the sustained and appropriate use of genomics in health care. Evaluation of education programs to identify effectiveness is challenging. Furthermore, those responsible for development and delivery are not necessarily trained in education and/or evaluation. Program logic models have been used to support the development and evaluation of education programs by articulating a logical explanation as to how a program intends to produce the desired outcomes. These are highly relevant to genomic education programs, but do not appear to have been widely used to date. To assist those developing and evaluating genomic education programs, and as a first step towards enabling identification of effective genomic education approaches, we developed a consensus program logic model for genomic education. We drew on existing literature and a co-design process with 24 international genomic education and evaluation experts to develop the model. The general applicability of the model to the development of programs was tested by program convenors across four diverse settings. Conveners reported on the utility and relevance of the logic model across development, delivery and evaluation. As a whole, their feedback suggests that the model is flexible and adaptive across university award programs, competency development and continuing professional development activities. We discuss this program logic model as a potential best practice mechanism for developing genomic education, and to support development of an evaluation framework and consistent standards to evaluate and report genomic education program outcomes and impacts.

Indexed as

educationevaluationgenomic medicineprogram logictheoryworkforce

Identifiers

PMID31781158
PMCPMC6857516

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.