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1.
BJPsych Bull ; : 1-8, 2023 Sep 29.
Article in English | MEDLINE | ID: mdl-37772484

ABSTRACT

AIMS AND METHOD: We aimed to examine the burden of mental disorders in Pakistan over the past three decades. We used the crude data of disability-adjusted life-years (DALYs) obtained from the Global Burden of Disease Study database (1990-2019) to represent burden. Data were retrieved on 26 January 2021. Data for adults of reproductive age (aged 15-49 years) were analysed to discuss and interpret the disease burden. An analysis was conducted on total DALYs separately for the genders for ten mental disorders reported in Pakistan. RESULTS: DALYs increased drastically with the onset of reproductive age. Depressive disorder was the most reported mental disorder, contributing 3.13% (95% CI 2.25-4.24) of total DALYs, and varied significantly between genders: females 3.89% (95% CI 2.73-5.29) versus males 2.37% (95% CI 1.62-3.25). CLINICAL IMPLICATIONS: A nationwide high-quality epidemiological surveillance system should be implemented to monitor mental disorders and offer culturally appropriate preventive services.

2.
BJPsych Int ; 20(3): 54-56, 2023 Aug.
Article in English | MEDLINE | ID: mdl-37531228

ABSTRACT

This report is based on the extrapolation to 2020 of data on the economic burden of mental illnesses in Pakistan in 2006. Given the resultant estimated high economic burden of mental illness in the country (£2.97 billion in 2020), we advocate a revised budget allocation to mental healthcare. As a resource-scarce nation that is entangled in natural disasters, Pakistan needs cost-effective psychological interventions such as culturally adapted manual-assisted problem-solving training (C-MAP) for the prevention of self-harm and suicide and to move towards attaining the United Nations' Sustainable Development Goals (SDGs). Although government has taken initiatives to support healthcare services (such as the Sehat Sahulat Program for universal health coverage), there is still a need to implement a cost-effective national digital model for mental healthcare such as the Agha Khan Development Network Digital Health Programme.

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