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Record W2270146780

An ethicist's commentary on veterinary "nurse practitioners".

2003· article· en· W2270146780 on OpenAlexaboutno aff
Bernard E. Rollin

Bibliographic record

VenuePubMed · 2003
Typearticle
Languageen
FieldHealth Professions
TopicVeterinary Practice and Education Studies
Canadian institutionsnot available
Fundersnot available
KeywordsCompromiseWork (physics)MedicineHealth careHuman medicinePosition (finance)Veterinary medicineNursingLawPolitical scienceBusiness
DOInot available

Abstract

fetched live from OpenAlex

Throughout the history of this column, I have strongly expressed the opinion that technicians may perform procedures on animals only when supervised by veterinarians. I have taken “supervised” fairly literally to mean that the veterinarian should be close enough during the procedure to jump in if something unexpected goes awry. This issue came up most recently regarding on-farm procedures at night or under blizzard or other arduous weather conditions. I reiterated my position, but later heard some relevant new information from a number of veterinarians. Apparently a generation ago, such unpleasant tasks devolved upon the most junior member of a practice. Today, I am told, that culture has changed, and junior veterinarians won't willingly undertake such work. If that is indeed the case — but only if that is indeed the case — we are dealing with a new playing field. If veterinarians who are willing to do such work cannot be found, other arrangements must be made, and we must be willing to flex. The concept of the nurse practitioner is an interesting one, and seems to be working well in human medicine, particularly in rural areas that are underserved medically. Such a person is trained to perform some of the tasks usually done by a physician, and thus brings a certain amount of professional health care to a venue that might well otherwise do without any medical care at all. Could such a compromise work in veterinary medicine? It would depend on the training undergone by such a person, on a high degree of quality control, and on rigorous certification, but it could be done. Would it serve veterinary medicine well? Certainly, if indeed veterinary practitioners are unwilling to perform such tasks. I personally believe that it would be better if they did, rather than to create a whole new layer of professional designation, but this is unlikely to happen. So we need to think about “supertechs.” The most fundamental question, of course, is what sort of education they would receive. If their training in surgical procedures was merely rote, they could not respond to emergencies. On the other hand, it is hard to see how they could get adequate surgical training to cope with emergencies when there is trouble in training veterinary students in this area! I would like to look at a putative curriculum, but would do so with healthy skepticism. Let us also remember that nurse practitioners do not remove testicles and these “tech practitioners” would. The question before us reminds me of a suggestion made to me by a friend who is a veterinary school dean. Given the acute shortage of human medical professionals in rural areas, why could not veterinarians be trained to back up physicians, much in the manner of a nurse practitioner? Except for liability issues, this strikes me as a good idea, since both veterinarians and physicians are similarly educated. In fact, the first 2 years of medical and veterinary school are virtually the same. Veterinarians could certainly deal with wounds, lacerations, abrasions, contusions, and fractures — tissue is tissue. Both understand (or are presumed to understand) the biology behind medicine in a more significant way than a technician would. I applaud the interim report recently issued by task force of the Council of the College of Veterinarians of Ontario, which task force stresses the need for proper certification and training and also suggests limits on what such paraprofessionals may do. This should initiate a healthy dialogue in the veterinary community. I am grateful to Tim Blackwell DVM for dialogue.

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.

How this classification was reachedexpand

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)0.001
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: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.195
Threshold uncertainty score0.802

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.001

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 head0.356
GPT teacher head0.503
Teacher spread0.146 · 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

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations1
Published2003
Admission routes1
Has abstractyes

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