Mental Health Expenditure in Canada.
Notice bibliographique
Résumé
BACKGROUND: Mental ill-health-illness or conditions related to mental health, including dementia, schizophrenia, mood (affective) disorders, and mental and behaviour disorders due to psychoactive substance and alcohol use - places a significant burden on society in terms of economic, health, and social costs. Focusing on direct health care costs, estimated expenditures on treating mental health conditions accounted for up to 14% of total health expenditures across 12 OECD countries over the period of 2003 to 2010. AIMS OF THE STUDY: The purpose of this study was to estimate the direct health care costs associated with the treatment of mental ill-health in Canada for the year 2019 using currently available guidelines. A consistent and systematic method, such as that used in the OECD guidelines on expenditure by disease, age and gender under the System of Health Accounts, can provide valuable information for policy makers and improve comparability of Canadian estimates with those of peer countries. METHODS: To derive comprehensive, and internationally comparable estimates of mental health care expenditures, the results were classified according to the OECD System of Health Accounts 2011 for the following cost components: hospitals, physicians, psychologists in private practice, prescription drugs, and community mental health care. Based on data availability, both public and private expenditures were captured. Where data were lacking, estimates were based on the published literature. RESULTS: Total expenditure for mental health care was estimated at $17.1 billion in Canada in 2019. Hospital services (inpatient and outpatient) represent the largest component totaling $5.5 billion or 32% of total mental health spending. They are followed by expenditures on prescribed pharmaceutical drugs of $4.3 billion (25%), community-based care of $3.6 billion (21%), physician services of $2.7 billion (16%) and services of psychologists in private practice of $1.1 billion (6%). DISCUSSION: The study provided the most recent and comprehensive estimate of mental health expenditure in Canada. The results for similar cost components, are comparable to those found in the previous studies. Expenditures directed towards mental health treatment accounted for 6.4% of total health expenditures, and 6.9% of public health expenditures, in 2019, on par with the OECD average of 6.7% for twenty-three countries. Among considered cost components, community-based mental health and addiction services remain an area where further work is needed the most, including a standardized list of services reported by each Canadian province/territory regardless of care setting, service administrator or funder. In Canada, data challenges are considerable to assess private spending out-of-pocket or through third-party insurance for services by psychologists or psychotherapists, as well as residential and home care. Given data challenges, the total expenditure estimate is likely conservative. IMPLICATIONS: Consistent and comparable estimates such as these can be used to better understand how resources are being used in the treatment of mental health, including key cost drivers, and the impact of policy changes, as well as to undertake reliable inter-jurisdictional and international comparisons.
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 | 0,001 | 0,004 |
| Méta-épidémiologie (sens strict) | 0,001 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,001 |
| Bibliométrie | 0,005 | 0,012 |
| Études des sciences et des technologies | 0,002 | 0,000 |
| Communication savante | 0,002 | 0,001 |
| Science ouverte | 0,001 | 0,001 |
| Intégrité de la recherche | 0,000 | 0,001 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,012 | 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 ».