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Enregistrement W4254507465 · doi:10.1176/appi.pn.2016.5b4

Investing in Global Mental Health Care Could Save Billions

2016· article· en· W4254507465 sur OpenAlexaboutno aff
Vabren Watts

Notice bibliographique

RevuePsychiatric News · 2016
Typearticle
Langueen
DomainePsychology
ThématiqueMental Health Treatment and Access
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésMental healthGlobal mental healthWorkforceDepression (economics)ProductivityAnxietyHealth carePsychiatryGlobal healthMedicineEconomic growthPsychologyPolitical scienceBusinessEconomics

Résumé

récupéré en direct d'OpenAlex

Back to table of contents Previous article Next article Community NewsFull AccessInvesting in Global Mental Health Care Could Save BillionsVabren WattsVabren WattsPublished Online:31 May 2016https://doi.org/10.1176/appi.pn.2016.5b4AbstractAccording to the World Health Organization, most low- and middle-income countries spend less than $2 per year per person on the treatment and prevention of mental disorders compared with an average of $50 in high-income countries.Scaling up treatment for people living with depression and anxiety disorders around the world can lead to billions of dollars in savings, according to a study published by the World Health Organization (WHO). The report appeared in the May issue of Lancet Psychiatry.Paul Summergrad, M.D., believes that achievement of significant and sustainable improvements in global mental health care requires major international organizations, governments, and foundations to be engaged."This study suggests that if mental health care was to be increased even to a moderate level of accessibility throughout the world, then not only would this increase be beneficial to the quality of [mental health] care, but it would have great returns on investments in terms of improved health, workforce productivity, and the economy in general," former APA President Paul Summergrad, M.D., chair of the Department of Psychiatry at Tufts University School of Medicine, told Psychiatric News.According to the World Economic Forum, an estimated $2.5 to $8.5 trillion in lost output was attributed to mental, neurological, and substance use disorders worldwide in 2010. While previous international economic studies of mental health have examined the economic effects of these disorders, including the cost-effectiveness of different intervention strategies and the cost of scaling up care, these studies did not evaluate the value of both economic and health benefits of intervention scale up.To estimate the global return on an investment in a scaled-up response to depression and anxiety disorders worldwide, Dan Chisholm, Ph.D., a health economist at WHO, and a team of international researchers calculated treatment costs and health outcomes in 36 countries between 2016 and 2030, assuming a linear increase in depression and anxiety treatment coverage. The analysis showed that the estimated cost for a modest increase in mental health care for depression and anxiety would amount to $147 billion ($91 billion for depression and $56 billion for anxiety disorders), a value of $399 billion in economic benefits and health returns."Notwithstanding the general limitations of any projection-modeling study, the analysis suggests that the investment needed to substantially scale up effective treatment coverage for depression and anxiety disorders in the 36 countries included in this analysis is substantial. Extending the scope to the 20 percent of the world's population not living in the 36 countries represented in the study would increase the cost by about 25 percent to $184 billion," the authors wrote. "However, the returns to this investment are also substantial, with benefit to cost ratios of 2.3 to 3.0 when economic benefits only are considered, and 3.3 to 5.7 when the value of health returns is also included."In an accompanying editorial in Lancet Psychiatry, Summergrad wrote, "the Chisholm study brings rigor to the economic case, but there are many other important reasons to consider enhanced investment in global mental health, not least of which are justice, equity, human rights, and the reduction of suffering." In his published comments, Summergrad went on to outline several actions to help advance the global mental health infrastructure, including more recognition of the burden of mental health disorders in terms of medical care cost, disability, lost life, and lost productivity, as well as an international campaign to destigmatize mental disorders that may lead to more people seeking mental health services. "It will require a collaborative effort from major international organizations, governments, and foundations to enhance the infrastructure for mental health care throughout the world," Summergrad told Psychiatric News.The study was funded by Grand Challenges Canada. ■An abstract of "Scaling-Up Treatment of Depression and Anxiety: A Global Return on Investment Analysis" can be accessed here. The accompanying editorial by Paul Summergrad, M.D., "Investing in Global Mental Health: The Time for Action Is Now," is available here. ISSUES NewArchived

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 enseignants

Ni 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.

score de la tête « metaresearch » (Codex)0,001
score de la tête « metaresearch » (Gemma)0,007
Version: metacan-v3-hybrid-931329e0061cStatut de validation: machine_predicted_unvalidated
Catégories candidatesCharge utile insuffisante (le modèle a refusé de juger)
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Sans objet · Signal consensuel: Sans objet
GenreSignal candidat: Commentaire · Signal consensuel: aucune
Score de désaccord entre enseignants0,424
Score d'incertitude au seuil0,822

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0010,007
Méta-épidémiologie (sens strict)0,0010,000
Méta-épidémiologie (sens large)0,0000,001
Bibliométrie0,0010,001
Études des sciences et des technologies0,0020,001
Communication savante0,0050,005
Science ouverte0,0010,003
Intégrité de la recherche0,0030,004
Charge utile insuffisante (le modèle a refusé de juger)0,4240,262

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.

Tête enseignante Opus0,033
Tête enseignante GPT0,390
Écart entre enseignants0,356 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_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

Classification

machine, non validée

Prédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.

Devis d'étudeSans objet
Domainenon disponible
GenreCommentaire

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations0
Publié2016
Routes d'admission1
Résumé présentoui

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