The Economic Burden of Chronic Psychotic Disorders in Ontario.
Notice bibliographique
Résumé
BACKGROUND: Chronic psychotic disorders are severe and disabling mental disorders associated with poor psychiatric and medical outcomes. These disorders are considered one of the most costly mental disorders due young age at onset and the need for intensive health care over the life course. AIMS OF THE STUDY: The purpose of this study was to estimate the direct health care costs of chronic psychotic disorders in Ontario in 2012 from the perspective of the third-party payer (i.e., the ministry of health), using a prevalence-based cost-of-illness approach. METHODS: We selected all patients eligible for public health insurance over the age of 15 with a diagnosis of chronic psychotic disorder, using a validated algorithm. Using linked administrative health care databases, we estimated net costs associated with chronic psychotic disorders (i.e., the difference in cost for patients with psychosis and control subjects), using a case-control design. Mean net prevalence costs were estimated for the full sample and disaggregated by sex, age group (16-24; 25-44; 45-64; 65 and over) and health service. RESULTS: In 2012, there were 142,821 patients with a chronic psychotic disorder in Ontario. They had a mean age of 49, were made up of slightly more males (53%) and were mostly from low-income, urban neighbourhoods. Roughly 17% of patients had a psychiatric hospitalization, with an average of 2 hospitalizations and average length of stay of 49 days. The total direct cost of patients with chronic psychotic disorders to the ministry of health was just under 2.1 billion CAD. Total net costs were around 1.5 billion CAD. The main cost drivers were psychiatric hospitalizations (48%), followed by long-term care (14%). Mean net costs were slightly higher for females than males (CAD 10,653 vs. CAD 10,647, respectively). Mean net costs were highest for patients 65 and over, and lowest for patients 25-44 (CAD 15,230 vs. CAD 8,585, respectively). The main cost drivers also varied with age. For younger patients, three-quarters of the net cost were due to psychiatric hospitalizations (74%), while for older patients net costs were mainly due long-term care (38%), followed by psychiatric (24%) and non-psychiatric (14%) hospitalizations. DISCUSSION AND LIMITATIONS: The direct net costs of treating patients with chronic psychotic disorders are substantial and represent a sizeable portion of the Ontario health care budget (3%). Previous research has found similar findings in other jurisdictions. These estimates do not account for costs of addiction services. IMPLICATIONS FOR HEALTH CARE PROVISION AND USE: Our results suggest there are important utilization/cost differences between age groups. As patients with chronic psychotic disorders become older chronic disease and disability become more prominent, as reflected in higher costs with long-term care and non-psychiatric hospitalizations. IMPLICATIONS FOR HEALTH POLICIES: These findings highlight the need for health care systems to address both physical and mental illness simultaneously, especially for older patients with chronic psychotic disorders. IMPLICATIONS FOR FURTHER RESEARCH: Future research should focus on the predictors of care over the life course of patients with chronic psychotic disorders. In addition, further work should examine how the interplay between mental and physical health contribute to increased costs among patients with psychosis.
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 | 0,000 | 0,002 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,001 | 0,002 |
| Études des sciences et des technologies | 0,001 | 0,000 |
| Communication savante | 0,001 | 0,000 |
| Science ouverte | 0,000 | 0,001 |
| Intégrité de la recherche | 0,000 | 0,000 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,003 | 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 ».