Complementary medical health services: a cross sectional descriptive analysis of a Canadian naturopathic teaching clinic
Notice bibliographique
Résumé
BACKGROUND: Historically, alongside regulatory and jurisdictional differences in scope of practices, practice patterns of naturopathic doctors (NDs) have varied widely to promote holistic or whole-person treatment using a variety of therapies including: controlled substances, minor surgery, a variety of complementary therapies, as well as both novel and conventional assessments. However, little is known about the observed practice patterns of NDs, the services provided to their patients, or the type of conditions for which patients of NDs are seeking treatment. In order to address this gap, a cross-sectional descriptive analysis of the largest Canadian teaching clinic for NDs was undertaken to better understand the services provided to the community and increase the knowledge regarding the use of naturopathic medicine. METHODS: Data stemmed from two sources at the Toronto, Ontario clinic: a passive patient satisfaction survey, and the clinic's point-of-sale (POS) system. Data included patient demographics, postal codes, health services utilization, ICD-10 codes, therapies employed, along with other data relating to the financial transactions associated with the visit. Simple descriptive statistics and the Kruskal-Wallis test were used to compare different age-based groups and examine health services use between years. This study was approved by the Research Ethics Board of the Canadian College of Naturopathic Medicine. RESULTS: 13,412 patients were treated in 76,386 patient visits spanning three clinic years. Median age of patients was 37; females outnumbered males (2.6:1) in all age-based groups except the pediatric population. In the patient satisfaction survey, there were 1552 potential survey respondents; with 118 responses received (response rate: 7.6%). Obtaining health education, health prevention and help with chronic health conditions were the primary motivators for patient visits identified in the patient survey. CONCLUSION: The clinic attracts people from a wide area in the metropolitan Toronto and surrounding region with health concerns and diagnoses that are consistent with primary care, providing health education and addressing acute and chronic health conditions. Further explorations into health services delivery from the broader naturopathic or other complementary/alternative medical professions would provide greater context to these findings and expand understanding of the patients and type of care being provided by these health professionals.
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Comment cette classification a été obtenuedéplier
Prédiction distillée sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.
Scores Codex et Gemma par catégorie
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,004 | 0,000 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,002 | 0,000 |
| Bibliométrie | 0,003 | 0,001 |
| Études des sciences et des technologies | 0,000 | 0,001 |
| Communication savante | 0,000 | 0,000 |
| Science ouverte | 0,000 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,001 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,005 | 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 tête enseignante, 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 ».