Evidence map›Paper›PMID 36198472›Full record

ArticleBMJ open2022

Mapping continuous learning using social network research: a social network study of Australian Genomics as a Learning Health System.

Louise A Ellis, Janet C Long, Chiara Pomare, Zeyad Mahmoud, Rebecca Lake, Genevieve Dammery, Jeffrey Braithwaite

Abstract read
In one paragraph

Article in BMJ open, 2022. 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

7 authors.

Louise A EllisAustralian Institute of Health Innovation, Macquarie University, Sydney, New South Wales, Australia louise.ellis@mq.edu.au.ORCID 0000-0001-6902-4578
Janet C LongAustralian Institute of Health Innovation, Macquarie University, Sydney, New South Wales, Australia.ORCID 0000-0002-0553-682X
Chiara PomareAustralian Institute of Health Innovation, Macquarie University, Sydney, New South Wales, Australia.ORCID 0000-0002-9118-7207
Zeyad MahmoudAustralian Institute of Health Innovation, Macquarie University, Sydney, New South Wales, Australia.ORCID 0000-0003-3331-8093
Rebecca LakeAustralian Institute of Health Innovation, Macquarie University, Sydney, New South Wales, Australia.
Genevieve DammeryAustralian Institute of Health Innovation, Macquarie University, Sydney, New South Wales, Australia.ORCID 0000-0002-8188-712X
Jeffrey BraithwaiteAustralian Institute of Health Innovation, Macquarie University, Sydney, New South Wales, Australia.ORCID 0000-0003-0296-4957

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesTo explore a macrolevel Learning Health System (LHS) and examine if an intentionally designed network can foster a collaborative learning community over time. The secondary aim was to demonstrate the application of social network research to the field of LHS.

designTwo longitudinal online questionnaires of the Australian Genomics learning community considering relationships between network members at three time points: 2016, 2018, 2019. The questionnaire included closed Likert response questions on collaborative learning patterns and open-response questions to capture general perceptions of the community. Social network data were analysed and visually constructed using Gephi V.0.9.2 software, Likert questions were analysed using SPSS, and open responses were analysed thematically using NVivo.

settingAustralian Genomic Health Alliance.

participantsClinicians, scientists, researchers and community representatives.

resultsAustralian Genomics members highlighted the collaborative benefits of the network as a learning community to foster continuous learning in the ever-evolving field of clinical genomics. The learning community grew from 186 members (2016), to 384 (2018), to 439 (2019). Network density increased (2016=0.023, 2018=0.043), then decreased (2019=0.036). Key players remained consistent with potential for new members to achieve focal positions in the network. Informal learning was identified as the most influential learning method for genomic practice.

conclusionsThis study shows that intentionally building a network provides a platform for continuous learning-a fundamental component for establishing an LHS. The Australian Genomics learning community shows evidence of maturity and sustainability in supporting the continuous learning culture of clinical genomics. The network provides a practical means to spread new knowledge and best practice across the entire field. We show that intentionally designed networks provide the opportunity and means for interdisciplinary learning between diverse agents over time and demonstrate the application of social network research to the LHS field.

Indexed as

Learning Health SystemAustraliaEducation, ContinuingGenomicsHumansSocial NetworkingGENETICSHEALTH SERVICES ADMINISTRATION & MANAGEMENTSTATISTICS & RESEARCH METHODS

Identifiers

PMID36198472
PMCPMC9535204

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.