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Record W2920835008 · doi:10.3168/jds.2018-15825

Factors associated with dairy farmers' satisfaction and preparedness to adopt recommendations after veterinary herd health visits

2019· article· en· W2920835008 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
fundA Canadian funder is recorded on the work.

Bibliographic record

VenueJournal of Dairy Science · 2019
Typearticle
Languageen
FieldHealth Professions
TopicVeterinary Practice and Education Studies
Canadian institutionsUniversity of GuelphUniversity of Calgary
FundersUniversity of Calgary
KeywordsPreparednessMedicineHerdVeterinary medicine

Abstract

fetched live from OpenAlex

Herd health and production consultancy are important aspects of the modern dairy veterinary practice; therefore, veterinary farm visits will likely be more successful if veterinary practitioners communicate effectively and meet farmers' expectations. Objectives were to assess dairy farmers' satisfaction with veterinary advisors and their perceived preparedness to adopt veterinary advice. Furthermore, we assessed whether farmers' satisfaction and preparedness to adopt advice were associated with specific predictor variables; that is, general (demographic) factors of veterinarians or farmers, communication tools used by veterinarians, and veterinarians' affective attributes during the farm visit. Audio-video recordings of 14 dairy veterinarians during 70 herd health and production management farm visits were analyzed using the Roter interaction analysis system. Demographic data, farmers' satisfaction, and farmers' preparedness to adopt advice were obtained by using questionnaires. Overall, farmers were satisfied with their veterinarian's communication during farm visits and 58% of farmers felt "absolutely" prepared to follow veterinary recommendations. Based on multivariable regression analysis, farmers' satisfaction was positively associated with their level of education and the amount of talk the veterinarian dedicated to counseling the farmer. However, satisfaction was negatively association with the ratio between veterinarian talk and farmer talk. In addition to various demographic variables, farmers' preparedness to adopt veterinary advice was positively associated with their satisfaction. Other predictor variables for farmers' preparedness to follow recommendations included increased veterinary counseling and frequent herd data discussions, whereas there was a negative relationship between number of farmer questions and dominance of the veterinarian during the farm visit. Identification of factors influencing farmers' satisfaction and preparedness to adopt advice will make veterinary communication more effective and could inform training of veterinarians in communication.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.007
Threshold uncertainty score0.689

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.000
Scholarly communication0.0000.002
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.201
GPT teacher head0.468
Teacher spread0.267 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it