Notice bibliographique
Résumé
The number of active clients is, without question, one of the most crucial metrics for any veterinary practice. Without a strong supply of clients, even the best run hospital will falter. While the manipulation of fees, supply costs, and wages can help a practice maximize profitability, the bottom line will always be driven by how many pet owners are walking through the front door. Through the Annual Provincial Practice Owner’s Economic Surveys, the average number of active clients per full-time equivalent DVM can be measured in each of the provinces. For the purposes of this research, a full-time equivalent (FTE) is assumed to be 1750 hours worked per year. Table 1 outlines these averages from 2012 to 2014. The past year was a strong one overall, with most provinces experiencing growth in the average number of active clients per FTE. Led by New Brunswick, with a 20.6% increase, 5 provinces enjoyed higher average numbers of active clients in 2014 compared with those in 2013. Manitoba and Prince Edward Island had jumps of 8.9% and 7.4%, respectively, while Nova Scotia’s average number of active clients per FTE climbed by 4.6%, and Alberta had a modest rise of 2.4%. Table 1 Average number of active clients per FTE DVM (1750 h) On the opposite side of the coin, however, Saskatchewan, British Columbia, and Ontario all witnessed declines in the average number of active clients per FTE. Ontario held the dubious honor of having the steepest downturn, with the number of clients falling by 7.1%. British Columbia’s average slipped by 2.1%, and Saskatchewan’s by 1.2%. Newfoundland & Labrador did not provide sufficient responding practices in 2013 to report on average number of active clients per FTE, and thus is listed as “na” in Table 1. While most provinces will relish these findings, it is important to note that these surveys were being completed just as the price of crude oil began its plummet. As a result, the picture painted by the 2014 survey may be quite different from current reality, particularly in oil-rich provinces such as Alberta, Saskatchewan, and Newfoundland & Labrador. Given these economic developments, some practices will find that they must work even more diligently to get clients into the building. One well-established method for retaining clients is through use of the telephone. By calling, staff members are able to actively engage clients and book an appointment time. Postcards and e-mails are comparatively passive, and place the onus on the client to contact the clinic to schedule an appointment. Another benefit to phoning clients is the ability to respond to any questions or concerns they may have. Without the opportunity to immediately address them, clients’ queries may go unanswered; perhaps they are unsure as to why their pet requires a physical examination. A postcard will do little to answer this question. Although more labor-intensive than mailings, the return on investment of calling clients due for reminders is typically higher as a result of a greater success rate in scheduling appointments. The superiority of the telephone as a method of contacting clients is evidenced through research performed by Terra Shastri of the Ontario Veterinary Medical Association. In her analysis, the number of clients booking an appointment in response to a postcard was compared to the number booking as a result of a phone call (or voicemail if the client did not answer). A postcard or letter resulted in an average of 19% of clients booking an appointment; a phone call garnered an average of 78.7% of clients booking an appointment. This year may prove to be a difficult one for some, particularly if the price of crude oil remains depressed, thus weighing on provincial and national economies. The best defence against these circumstances continues to be a good offence. Getting on the phone and conveying the importance of veterinary visits to clients should be every practice’s game plan. Doing everything possible to keep active client numbers elevated will do more to help a practice weather difficult times than any other measure. Notes: Average numbers of active clients per FTE were determined using the 2014 Provincial Practice Owner’s Economic Surveys. There was no Provincial Practice Owner’s Economic Survey in Quebec in 2014. Number of active clients per FTE was determined by taking each practice’s reported number of active clients, dividing by the total number of DVM hours worked within the practice, and multiplying by 1750. The resulting number of active clients per FTE was averaged among all practices within a province, to determine the provincial average number of active clients per FTE.
Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.
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 | 0,002 | 0,005 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,001 | 0,001 |
| Bibliométrie | 0,002 | 0,004 |
| Études des sciences et des technologies | 0,007 | 0,002 |
| Communication savante | 0,006 | 0,001 |
| Science ouverte | 0,001 | 0,003 |
| Intégrité de la recherche | 0,001 | 0,003 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,051 | 0,007 |
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 ».