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An extended cost-effectiveness analysis of schizophrenia treatment in India under universal public finance.
Raykar, Neha; Nigam, Aditi; Chisholm, Dan.
Afiliação
  • Raykar N; Public Health Foundation of India, Plot No 47, Sector 44, Gurgaon, Haryana 122002 India.
  • Nigam A; Center for Disease Dynamics, Economics and Policy, 1400 Eye St NW, Suite 500, Washington, DC 20005 USA.
  • Chisholm D; Department of Mental Health and Substance Abuse, World Health Organization, Geneva, Switzerland.
Article em En | MEDLINE | ID: mdl-27398070
BACKGROUND: Schizophrenia remains a priority condition in mental health policy and service development because of its early onset, severity and consequences for affected individuals and households. AIMS AND METHODS: This paper reports on an 'extended' cost-effectiveness analysis (ECEA) for schizophrenia treatment in India, which seeks to evaluate through a modeling approach not only the costs and health effects of intervention but also the consequences of a policy of universal public finance (UPF) on health and financial outcomes across income quintiles. RESULTS: Using plausible values for input parameters, we conclude that health gains from UPF are concentrated among the poorest, whereas the non-health gains in the form of out-of-pocket private expenditures averted due to UPF are concentrated among the richest income quintiles. Value of insurance is the highest for the poorest quintile and declines with income. CONCLUSIONS: Universal public finance can play a crucial role in ameliorating the adverse economic and social consequences of schizophrenia and its treatment in resource-constrained settings where health insurance coverage is generally poor. This paper shows the potential distributional and financial risk protection effects of treating schizophrenia.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Health_economic_evaluation Idioma: En Revista: Cost Eff Resour Alloc Ano de publicação: 2016 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Health_economic_evaluation Idioma: En Revista: Cost Eff Resour Alloc Ano de publicação: 2016 Tipo de documento: Article