This post explains how qualitative researchers and veterinary leaders can turn the new PLOS One scoping review into actionable insight using AI-enabled qualitative analysis. The primary keyword for this guide is "vet pharmacist collaboration qualitative analysis". Readers will learn what the PLOS One review measured, which quantitative and thematic signals to prioritize, and concrete ways that AI tools accelerate synthesis, multilingual coverage, and stakeholder-ready recommendations.
Key Takeaways
According to the PLOS One scoping review (Kambayashi et al., published July 31, 2026), the literature on veterinarian–pharmacist collaboration is limited but growing, with 239 records retrieved and 16 studies included after screening.
"Pharmacists are expanding their role in veterinary medicine, evolving from traditional dispensing functions to active contributors to clinical care and medication safety, " wrote Kambayashi et al. in PLOS One on July 31, 2026.
- 239 records were retrieved in the review search, with the final search completed on 30 August 2025, and 16 studies met inclusion criteria (PLOS One, July 31, 2026).
- Compounding and dispensing were reported in 10 of 16 studies (62.5%), and drug information/consultation appeared in 6 of 16 studies (37.5%), as summarized by PLOS One (Kambayashi et al., 2026).
- Study geography was concentrated: United States (n = 7), New Zealand (n = 3), and Japan (n = 3), with publications spanning 2007 to 2024 (PLOS One, July 31, 2026).
- The PLOS One authors concluded that "sustained and scalable implementation will require improved mutual understanding of professional roles" (Kambayashi et al., PLOS One, July 31, 2026).
What happened and how the review was done
Answer: The PLOS One scoping review systematically mapped published and gray literature on veterinarian–pharmacist collaboration through a multi-database search ending 30 August 2025.
According to PLOS One (Kambayashi et al., 2026), two reviewers searched PubMed, Web of Science, the Cochrane Library, Ichushi-Web, and Google Scholar, retrieved 239 records, removed 58 duplicates, and screened 181 records to yield 16 included studies published between 2007 and 2024.
According to PLOS One (Kambayashi et al., 2026), most included studies used cross-sectional surveys; study settings included community pharmacies (n = 4), veterinary hospitals (n = 12), and zoos (n = 3).
According to PLOS One (Kambayashi et al., 2026), pharmacist roles most frequently reported were compounding/dispensing (62.5%), drug information/consultation (37.5%), inventory/supply management (25.0%), client education (18.8%), and safety/exposure control (12.5%).
Findings snapshot
| Date / Source | Metric | Value | Implication |
|---|---|---|---|
| 30 August 2025; PLOS One search | Records retrieved | 239 | Wide net captured multidisciplinary and gray literature, but coverage gaps remain |
| July 31, 2026; PLOS One publication | Studies included | 16 (published 2007–2024) | Limited empirical base for generalizable outcomes |
| July 31, 2026; PLOS One results | Compounding reported | 10 of 16 studies (62.5%) | Technical compounding remains dominant pharmacist contribution |
| July 31, 2026; PLOS One results | Drug information/consultation reported | 6 of 16 studies (37.5%) | Clinical-advisory roles are emerging but less common |
| July 31, 2026; PLOS One geography | Top-contributing countries | United States (n=7), New Zealand (n=3), Japan (n=3) | Regional models vary and non-English evidence matters |
Implications for qualitative researchers and veterinary leaders
What should qualitative researchers prioritize when studying vet–pharmacist collaboration?
Answer: Researchers should prioritize mixed-methods designs that move beyond perception surveys to documentable process and outcome measures, because the PLOS One review (Kambayashi et al., July 31, 2026) found most evidence is perception-based and cross-sectional.
According to PLOS One (Kambayashi et al., 2026), the literature lacks quantitative measures of clinical impact, so qualitative work should capture workflow interactions, decision points, and interprofessional trust using recorded transcripts and thematic coding tied to observable outcomes.
What should veterinary practice leaders change now?
Answer: Practice leaders should pilot defined collaboration models (for example, pharmacy-supported compounding plus scheduled DI consults), because PLOS One (Kambayashi et al., 2026) reports compounding is the most accepted pharmacist role and mutual role clarity is a key barrier.
According to PLOS One (Kambayashi et al., 2026), addressing the "knowledge gap" about species-specific physiology through targeted training and shared protocols will be central to expanding clinical pharmacist responsibilities.
How Evidano helps: map problems to AI-enabled qualitative solutions
Definition and overview
Evidano is an AI-powered qualitative data analysis platform that helps researchers analyze interviews, open-ended surveys, documents, and multilingual literature.
Problem: Fragmented literature and multilingual evidence (PLOS One notes Japanese studies and Ichushi-Web contributions) → Solution: Evidano ingests PDFs and web sources, applies machine translation and thematic coding to surface patterns across languages; see the platform features at Evidano Features.
Problem: scattered, perception-based evidence
Answer: Researchers need reproducible thematic synthesis and cross-segment frequency counts to compare perceptions to practice, and Evidano provides automated thematic and frequency analysis with exportable codebooks.
Evidano's document ingestion plus AI chat lets teams ask targeted questions of the evidence (for example, "Which studies report compounding-related adverse events? ") and extract supporting quotations and counts for reports.
Problem: non-English studies and translation bias
Answer: The PLOS One review highlighted non-English (Japanese) sources that are crucial but often overlooked; Evidano supports neural translation with custom dictionaries to preserve technical terms, see Evidano Translation.
Evidano's multilingual pipeline reduces exclusion of local practice models and enables comparative thematic coding across languages for reproducible meta-synthesis.
Problem: slow synthesis of interviews and policy documents
Answer: Teams often spend weeks manually coding stakeholder interviews; Evidano accelerates that process with AI-assisted coding, co-occurrence networks, and segment-level comparisons.
Evidano supports transcription with a custom dictionary and PII redaction and can ingest interview transcripts alongside published studies, enabling integrated thematic and frequency analyses for actionable recommendations; see Evidano Speech-to-Text.
FAQ: vet pharmacist collaboration qualitative analysis
What did the PLOS One scoping review actually find?
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Answer: The review found a limited and regionally variable evidence base, with 16 included studies and a dominance of compounding and dispensing roles for pharmacists (PLOS One, July 31, 2026).
According to PLOS One (Kambayashi et al., 2026), the review recommends enhanced veterinary-specific education for pharmacists and more robust empirical research to evaluate clinical and safety outcomes.
Which pharmacist roles are most common in veterinary settings?
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Answer: Compounding and dispensing are most common, reported in 62.5% of included studies, followed by drug information/consultation at 37.5% (PLOS One, July 31, 2026).
According to PLOS One (Kambayashi et al., 2026), inventory management and client education appear less frequently, and safety/exposure control was reported in 12.5% of studies.
How can qualitative researchers include non-English evidence?
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Answer: Researchers should search regional databases and apply high-quality machine translation before extraction, because PLOS One (Kambayashi et al., 2026) identified Ichushi-Web and Japanese-language studies that would be missed by English-only searches.
According to PLOS One (Kambayashi et al., 2026), neural translation and bilingual reviewers reduce language bias and expose locally developed collaboration models.
Can pharmacists safely provide clinical advice to veterinarians?
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Answer: The evidence is insufficient to generalize safety outcomes, because PLOS One (Kambayashi et al., 2026) found mostly perception studies and few objective clinical outcome reports.
According to PLOS One (Kambayashi et al., 2026), key barriers include veterinarians' concern about species-specific physiology and inconsistent compounding regulations, suggesting targeted education and shared protocols are prerequisites for expanded clinical roles.
Conclusion & Next Steps
The PLOS One scoping review (Kambayashi et al., published July 31, 2026) maps a small but growing literature where pharmacists most often contribute via compounding and drug information, and it calls for veterinary-specific pharmacy education and stronger empirical studies.
For qualitative teams, the priority is reproducible synthesis that integrates multilingual studies, stakeholder interviews, and process data to build pilot collaboration models that can be evaluated prospectively.
Evidano can accelerate those steps by ingesting documents and transcripts, translating non-English evidence, generating thematic and frequency analyses, and producing exportable codebooks to inform pilots; learn more on Evidano Features.
Next step: assemble the literature, interview transcripts, and policy documents into a single Evidano workspace and run a thematic + cross-segment analysis to produce stakeholder-ready recommendations. Try Evidano for free.
Topics
- vet pharmacist collaboration qualitative analysis
- veterinarian pharmacist collaboration
- AI qualitative analysis veterinary
- veterinary pharmacy collaboration
Keep reading
- Commentary on NewsVeterinarian-Pharmacist Collaboration for Medication SafetyHow the PLoS One scoping review clarifies veterinarian-pharmacist collaboration and what AI-enabled qualitative researchers can extract and act on. Practical methods and next steps.
- Commentary on NewsPLOS Review: Veterinarian-Pharmacist CollaborationPLOS One review of veterinarian-pharmacist collaboration: key statistics, dates, and practical steps for researchers. Learn how AI-enabled qualitative analysis speeds evidence synthesis.
- Commentary on NewsPractical Guide: Veterinarian Pharmacist CollaborationAI qualitative analysis of veterinarian pharmacist collaboration: key findings from a PLOS ONE scoping review and steps to speed thematic synthesis with Evidano.