Evidence map›Paper›PMID 41783051›Full record

ArticleFrontiers in medicine2026

Veterinary student narratives of veterinary and interprofessional identity.

Jessica L Topka, Tamara S Hancock

Abstract read
In one paragraph

Article in Frontiers in medicine, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

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5 · Who and what money

Authors and funding

2 authors.

Jessica L TopkaCollege of Veterinary Medicine, University of Missouri, Columbia, MO, United States.
Tamara S HancockDepartment of Pathobiology and Integrative Biomedical Sciences, College of Veterinary Medicine, University of Missouri, Columbia, MO, United States.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: The readiness for interprofessional collaboration (IPC) is rooted in interprofessional education (IPE). IPE shapes views of IPC and socializes students into professional roles. Previous work showed differences among medical, veterinary, and dual degree Master of Public Health (MPH) students in identity and role expectations using the Readiness for Interprofessional Learning Scale (RIPLS). Yet, it is uncertain which roles and identities are elicited while using this instrument. The authors sought to answer the following question: What professional and interprofessional identities do veterinary students construct through stories in response to RIPLS items focused on roles and identities? Methodology: Using think-aloud interviews with focused RIPLS items, 9 veterinary students shared narratives of veterinary and interprofessional identities related to constructs of the RIPLS. Within a social constructivist framework, data were analyzed using thematic analysis. Results: Analysis identified several complex narrated identities that overlap and inform the veterinary professional identity, including veterinarian, veterinary interprofessional, interprofessional, and One Health identity. Participants narrated veterinarians in stories as communicators with a wide range of professional roles who must advocate for themselves and the status of their profession. Veterinary interprofessionals were multi-level team players within a veterinary healthcare team that collaborate to achieve common goals, with an emphasis on maintaining team safety. Interprofessional identity encapsulates skills and attitudes that veterinary medicine shares with other healthcare fields, yet employs them independently, which were discovered by participants through casual interactions with people trained in other fields. Participants discussed One Health as an important interprofessional space where veterinarians collaborate with other fields for a 'greater good'. Ambiguity regarding identity and roles emerged in relation to the RIPLS. Discussion: These findings affirm research that situates veterinary professional identities as complex, contradictory, and dual. One Health orientations resonate strongly with the veterinary community and may be better suited for IPC inclusive of veterinary medicine. Social media and social interactions have potentially significant impacts on veterinary professional identity development and remain underexplored. Participant confusion surrounding RIPLS items contributes to criticisms of the tool, widely discussed in IPE/C literature. Further work is needed to identify the best tools and approaches to investigate veterinary professional identity and attitudes toward IPC.

Indexed as

dual identityinterprofessional collaborationinterprofessional educationone healthveterinary professional identity

Identifiers

PMID41783051
PMCPMC12953140

What OpenQuestion holds

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LicenceCC BY
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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.