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

Louise Ellis, Janet Long, Chiara Pomare, Zeyad Mahmoud (), Rebecca Lake, Genevieve Dammery and Jeffrey Braithwaite
Additional contact information
Louise Ellis: Macquarie University [Sydney]
Janet Long: Macquarie University [Sydney]
Chiara Pomare: Macquarie University [Sydney]
Zeyad Mahmoud: LEMNA - Laboratoire d'économie et de management de Nantes Atlantique - Nantes Univ - IAE Nantes - Nantes Université - Institut d'Administration des Entreprises - Nantes - Nantes Université - pôle Sociétés - Nantes Univ - Nantes Université, Macquarie University [Sydney]
Rebecca Lake: Macquarie University [Sydney]
Genevieve Dammery: Macquarie University [Sydney]
Jeffrey Braithwaite: Macquarie University [Sydney]

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Abstract: Objectives To 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. Design Two 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. Setting Australian Genomic Health Alliance. Participants Clinicians, scientists, researchers and community representatives. Results Australian 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. Conclusions This 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.

Date: 2022-10-05
New Economics Papers: this item is included in nep-net
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Published in BMJ Open, 2022, 12 (10), pp.e064663. ⟨10.1136/bmjopen-2022-064663⟩

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Persistent link: https://EconPapers.repec.org/RePEc:hal:journl:hal-04256098

DOI: 10.1136/bmjopen-2022-064663

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