Notice bibliographique
Résumé
There is a growing disparity between the demand and supply for health workers globally which is projected to result in a health worker shortage of 15 million by 2030. The growing disparity is fueled by low health expenditure budgets, urban migration, weak incentives for entering the healthcare field, and an aging global population. The Global Health Workforce Alliance has suggested mid-level providers, like the physician assistant, as a part of the solution to the looming global shortage. However, physician assistants are not internationally recognized, which creates a challenge for implementing the profession in countries not familiar with the profession. The lack of international recognition has also made it difficult for institutions like the World Health Organization to acquire data on international physician assistant impact. Physician assistant implementation additionally faces pushback from traditional health professions. The physician assistant concept has been adopted in over 15 countries. The international adoption of the profession is relatively recent compared to the profession’s inception in the United States in the 1960s. Therefore, there is a dearth in data on the international impact of physician assistants. Patient satisfaction is an important measure for quality of care and health system performance. The few existing studies on patient satisfaction indicate that patients are satisfied with care provided by physician assistants in Canada, the United Kingdom, Ireland, Australia, New Zealand, and the Netherlands. However, there are significant design flaws in the limited research. The design flaws include not specifying which health worker was in question, use of fictional patient- provider scenarios, and use of qualitative data that can result in misleading conclusions. Thus, this proposed study will incorporate a study design that addresses design flaws in the existing research on patient satisfaction with physician assistants outside of the United States. The study will be a large-scale quantitative standardized patient satisfaction survey that will be disbursed in Canada and the United Kingdom. The study aims to measure patient satisfaction with different elements of the patient-provider encounter as well as the overall quality of care provided by the physician assistant. The study also aims to measure willingness of patients to see a physician assistant at the patient’s next medical provider encounter. Physician assistants can help to reduce the global health workforce shortage. The proposed study will address the need for understanding how patients are perceiving the impact of physician assistants during global expansion of the profession. If the findings from the proposed study align with findings from existing research, then one can infer that there is growing consumer demand for physician assistants. Evidence of growing consumer demand may influence policy surrounding acceptance and recognition of physician assistants internationally, and therefore serve as the catalyst for deploying physician assistants to help address the global health workforce shortage.
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 | 0,004 | 0,031 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,001 |
| Bibliométrie | 0,001 | 0,001 |
| Études des sciences et des technologies | 0,001 | 0,000 |
| Communication savante | 0,002 | 0,001 |
| Science ouverte | 0,000 | 0,001 |
| Intégrité de la recherche | 0,001 | 0,001 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,010 | 0,001 |
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 ».