Evidence map›Paper›PMID 41487479›Full record

ArticleFrontiers in veterinary science2025

Beyond clinical skills: student-reported impacts of a veterinary public health externship in rural Alaska.

Laurie Meythaler-Mullins, Allyce H Lobdell, Caroline Kern-Allely, Danielle M Frey

Abstract read
In one paragraph

Article in Frontiers in veterinary science, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

4 authors.

Laurie Meythaler-MullinsColorado State University, Fort Collins, CO, United States.
Allyce H LobdellColorado State University, Fort Collins, CO, United States.
Caroline Kern-AllelyColorado State University, Fort Collins, CO, United States.
Danielle M FreyColorado State University, Fort Collins, CO, United States.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Preventive medicine and public health are critical components of veterinary curricula, requiring students to understand their role in the health of communities and people beyond their animal patients. However, students considering a career in public health often face gaps in the depth of this curriculum. From 2019 to 2024, students from Colorado State University (CSU) and its University of Alaska Fairbanks (UAF) partner participated in the Hub Outpost Project (HOP) externship's community visits to Yukon-Kuskokwim Delta communities in rural Alaska. The curriculum emphasized veterinary professional concepts, surgical and clinical experience, community engagement and cultural awareness, and self- and team- mindfulness. Through repeated practice and direct exposure to providing care, students improved a variety of clinical and professional skills. Student impacts were assessed through a survey of the participating veterinary students from both institutions. Students primarily reported impacts related to gaining clinical and communication skills, the breadth of human-animal bonds, engaging directly with clients and patients, and realizations and understandings that quality medicine is possible with limited resources. These findings suggest that experiential learning not only greatly improves skills for students but also engages students in areas of veterinary medicine that need an increased workforce, such as rural medicine, while increasing their understanding of diverse community needs.

Indexed as

access to careAlaskaexperiential learningpublic healthrural medicineveterinary educationveterinary medicineveterinary students

Identifiers

PMID41487479
PMCPMC12758408

What OpenQuestion holds

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Registered trials

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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.