Disease burden and government spending on mental, neurological, and substance use disorders, and self-harm: cross-sectional, ecological study of health system response in the Americas
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Résumé
BACKGROUND: Disorders affecting mental health are highly prevalent, can be disabling, and are associated with substantial premature mortality. Yet national health system responses are frequently under-resourced, inefficient, and ineffective, leading to an imbalance between disease burden and health expenditures. We estimated the disease burden in the Americas caused by disorders affecting mental health. This measure was adjusted to include mental, neurological, and behavioural disorders that are frequently not included in estimates of mental health burden. We propose a framework for assessing the imbalance between disease burden and health expenditures. METHODS: In this cross-sectional, ecological study, we extracted disaggregated disease burden data from the Global Health Data Exchange to produce country-level estimates for the proportion of total disease burden attributable to mental disorders, neurological disorders, substance use disorders, and self-harm (MNSS) in the Americas. We collated data from the WHO Assessment Instrument for Mental Health Systems and the WHO Mental Health Atlas on country-level mental health spending as a proportion of total government health expenditures, and of psychiatric hospital spending as a proportion of mental health expenditures. We used a metric capturing the imbalance between disease burden and mental health expenditures, and modelled the association between this imbalance and real (ie, adjusted for purchasing power parity) gross domestic product (GDP). FINDINGS: Data were collected from July 1, 2016, to March 1, 2017. MNSS comprised 19% of total disability-adjusted life-years in the Americas in 2015. Median spending on mental health was 2·4% (IQR 1·3-4·1) of government health spending, and median allocation to psychiatric hospitals was 80% (52-92). This spending represented an imbalance in the ratio between disease burden and efficiently allocated spending, ranging from 3:1 in Canada and the USA to 435:1 in Haiti, with a median of 32:1 (12-170). Mental health expenditure as a proportion of government health spending was positively associated with real GDP (β=0·68 [95% CI 0·24-1·13], p=0·0036), while the proportion allocated to psychiatric hospitals (β=-0·5 [-0·79 to -0·22], p=0·0012) and the imbalance in efficiently allocated spending (β=-1·38 [-1·97 to -0·78], p=0·0001) were both inversely associated with real GDP. All estimated coefficients were significantly different from zero at the 0·005 level. INTERPRETATION: A striking imbalance exists between government spending on mental health and the related disease burden in the Americas, which disproportionately affects low-income countries and is likely to result in undertreatment, increased avoidable disability and mortality, decreased national economic output, and increased household-level health spending. FUNDING: Weatherhead Center for International Affairs, Harvard University.
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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) | 0,000 | 0,000 |
| Bibliométrie | 0,000 | 0,000 |
| Études des sciences et des technologies | 0,001 | 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 découle