Insurance coverage and the treatment of mental illness: effect on medication and provider use.
Notice bibliographique
Résumé
BACKGROUND: Canada's public health insurance system fully covers medically necessary hospital and physician services, but does not cover community-based non-physician mental health provider services or prescription drugs. Almost 2/3 of Canadians have private supplemental insurance for extended health benefits, typically through their employer, so its distribution is skewed to higher-income, employed Canadians, and typically features substantial cost-sharing and coverage limits. A recent national survey suggests only one-third of Canadians with selected mental disorders talked to a health professional during the previous 12 months and only a minority (19.3%) receive drug treatment. Financial barriers to care constitute a potentially important contributor to this under-use of mental health treatments. AIMS OF THE STUDY: The objective is to understand how private supplemental insurance status affects the utilization of prescription medication and four types of community-based providers for mental health problems in Canada. METHODS: The data derive from a special mental health supplement to the nationally representative Canadian Community Health Survey. Utilization of five types of prescribed medications (sleep, anxiety, mood stabilizers, anti-depressants and anti-psychotics) is measured dichotomously as use/no-use in the previous 12 months. Utilization of community-based provider services (family physician, psychiatrist, psychologist and social worker) is measured as (i) use/no-use and (ii) conditional on use, number of contacts in the previous 12 months. We employ multivariate regression methods appropriate to the binary and count nature of the dependent variable to measure the impact of supplemental private insurance status on utilization, controlling for health, demographic and socio-economic characteristics. We test for endogeneity of insurance status using instrumental variable techniques. RESULTS: Having private supplemental insurance significantly increases the odds of using medications for mental illness, with particularly large increases for anti-psychotic and mood-stabilizer medications. Private supplemental insurance coverage does not increase use of provider services. We find little evidence of endogeneity of private insurance. DISCUSSION: Lack of supplemental insurance for prescription medication is a potentially important financial barrier to mental health treatment in Canada. The estimated effect is likely understated because the utilization measure does not capture quantity of medication use. It is not surprising that no significant relationship between private insurance status and utilization of provider services is found for publicly-covered family physician and psychiatry services, where the link between supplemental insurance and use is indirect, through the need to visit a physician to obtain a prescription. The result is surprising for psychologists and social workers, and may reflect limits to private coverage which are not fully captured here. IMPLICATIONS FOR HEALTH CARE PROVISION AND USE: Insurance coverage has an important relative impact on the likelihood of drug use for mental illness. IMPLICATIONS FOR HEALTH POLICIES: A program that offers insurance coverage for anti-psychotic and mood-stabilizing medication could reduce the high personal and societal burden associated with serious mental illness, without a large overall budgetary impact. IMPLICATIONS FOR FUTURE RESEARCH: Future research should incorporate insurance measures which capture details of coverage among all survey respondents. Linking survey to utilization data will help to overcome issues of recall bias.
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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 | 0,000 | 0,000 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,000 | 0,000 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,000 | 0,000 |
| Science ouverte | 0,000 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,000 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,000 | 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 ».