1271 Economic evaluation of a milk test for pregnancy confirmation in dairy cows
Notice bibliographique
Résumé
Timely diagnosis of pregnancy and pregnancy loss is economically important. A commercially available pregnancy-associated glycoprotein milk assay is offered through routine Dairy Herd Improvement (DHI) testing for diagnosis of pregnancy. The objective was to complete a cost-benefit analysis of the milk pregnancy test for confirmation of pregnancy. The test can be used to complement, or as an alternative to, veterinary diagnosis by palpation or ultrasound. CanWest DHI currently recommends using the test for confirmation of pregnancy ≥ 60 d in gestation. Therefore, for this analysis it was assumed cows had been previously diagnosed pregnant. The model included 4 simulated pregnancy confirmation strategies: 1) no confirmatory testing, 2) confirmation by milk PAG test, 3) confirmatory examination by a veterinarian, and 4) confirmation using a combination of the milk test and veterinary exam. The analysis was done by simulations of economic outcomes using a cow-level stochastic model (with @Risk for Excel) with uniform distributions for additional days open due to testing frequency. Model assumptions were that cows became eligible for testing at 60 d in gestation, the herd had biweekly veterinary visits, and was enrolled in DHI milk recording with a milk test every 5 wk. Data from the current literature were used to model input variables associated with losses due to days open (for cows eligible to be re-inseminated after pregnancy loss) and culling after pregnancy loss for cows too late in lactation to re-inseminate. The base cost of veterinary exam was $2 and the milk test was $6. For each scenario, 1,000 simulations were run generating a minimum, maximum, and mean value. The most costly option was no confirmatory testing. The benefit of confirmatory testing compared to no confirmatory testing was between $11.80 and $17.90 per cow. On average, the milk test was $6.10 more costly per cow tested than veterinary confirmation. Under the assumed inputs, milk testing would have to cost < $1.00 or occur weekly to have a lower cost than veterinary confirmation. Sensitivity analysis indicated that the models were most sensitive to the proportion of cows found open and the proportion of open cows eligible to re-inseminate. Models were found to be less sensitive to the cost of a day open, additional days open due to testing frequency, and the cost of the test. Pregnancy loss is a costly event but the cost can be limited by pregnancy confirmation testing.
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Comment cette classification a été obtenuedéplier
Prédiction machine sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.
Scores du classifieur distillé par catégorie (deux têtes)
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,005 | 0,012 |
| Méta-épidémiologie (sens strict) | 0,001 | 0,001 |
| Méta-épidémiologie (sens large) | 0,001 | 0,002 |
| Bibliométrie | 0,001 | 0,001 |
| Études des sciences et des technologies | 0,001 | 0,001 |
| Communication savante | 0,002 | 0,001 |
| Science ouverte | 0,001 | 0,001 |
| Intégrité de la recherche | 0,002 | 0,001 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,006 | 0,000 |
Scores machine (provisoires)
Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.
Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.
score_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».