scholarly journals Overview of the Saudi National Mental Health Survey

2020 ◽  
Vol 29 (3) ◽  
Author(s):  
Abdullah S. Al‐Subaie ◽  
AbdulHameed Al‐Habeeb ◽  
Yasmin A. Altwaijri
Keyword(s):  
Mental Health ◽  
Health Survey ◽  
Mental Health Survey ◽  
National Mental Health

Drop out from mental health treatment in the Saudi national mental health survey

2021 ◽  
pp. 1-16
Author(s):  
Abdulaziz S. Alangari ◽  
Sarah S. Knox ◽  
Kim E. Innes ◽  
Alfgeir L. Kristjansson ◽  
Sijin Wen ◽  
...  
Keyword(s):  
Mental Health ◽  
Health Survey ◽  
Mental Health Treatment ◽  
Drop Out ◽  
Health Treatment ◽  
Mental Health Survey ◽  
National Mental Health

scholarly journals The Saudi National Mental Health Survey: Sample design and weight development

2020 ◽  
Vol 29 (3) ◽  
Author(s):  
Zeina N. Mneimneh ◽  
Steven G. Heeringa ◽  
Yu‐Chieh Lin ◽  
Yasmin A. Altwaijri ◽  
Raphael Nishimura
Keyword(s):  
Mental Health ◽  
Health Survey ◽  
Sample Design ◽  
Survey Sample ◽  
Mental Health Survey ◽  
National Mental Health

scholarly journals How did the use of psychotropic drugs change during the Great Recession in Portugal? A follow-up to the National Mental Health Survey

2020 ◽  
Vol 20 (1) ◽  
Author(s):  
Manuela Silva ◽  
Ana Antunes ◽  
Sofia Azeredo-Lopes ◽  
Graça Cardoso ◽  
Miguel Xavier ◽  
...  
Keyword(s):  
Mental Health ◽  
Health Survey ◽  
Great Recession ◽  
Psychotropic Drugs ◽  
The Great Recession ◽  
Mental Health Survey ◽  
National Mental Health

Assessing personality disorders in a national mental health survey

2005 ◽  
Vol 40 (2) ◽  
pp. 87-98 ◽  
Author(s):  
Terry J. Lewin ◽  
Tim Slade ◽  
Gavin Andrews ◽  
Vaughan J. Carr ◽  
Charles W. Hornabrook
Keyword(s):  
Mental Health ◽  
Personality Disorders ◽  
Health Survey ◽  
Mental Health Survey ◽  
National Mental Health

Disability and socio-economic impact of mental disorders in the state of Punjab, India: Findings from national mental health survey, 2015–2016

2018 ◽  
Vol 64 (6) ◽  
pp. 589-596 ◽  
Author(s):  
BS Chavan ◽  
Subhash Das ◽  
Rohit Garg ◽  
Sonia Puri ◽  
Aravind BA Banavaram
Keyword(s):  
Mental Health ◽  
Mental Illness ◽  
Economic Impact ◽  
Health Survey ◽  
The State ◽  
Perceived Disability ◽  
Mental Health Survey ◽  
Socio Economic Impact ◽  
National Mental Health ◽  
The Individual

Background: Mental illness results in a plethora of distressing issues, has tremendous socio-economic impact and causes socio-occupational dysfunction in the individual as well as the caregivers. There is a felt need to explore the disability caused by mental illness and the associated socio-economic impact at the population level in a developing nation like India. Aims: To elucidate the disability and socio-economic impact associated with mental illness at the individual and household levels for the state of Punjab in India. Method: This was a multisite cross-sectional study carried out during 2015–2016 (as a part of the National Mental Health Survey of India) in three districts and one urban metro area of Punjab. The sample was selected using multi-stage, stratified, random cluster sampling technique, with random selection based on Probability Proportionate to Size (PPS) at different stages. A validated set of questions was used to assess the socio-economic impact of mental illness and the Sheehan Disability Scale was used to document self-perceived disability among individuals with mental morbidity. Median (IQR) and proportions were used to summarize quantitative and qualitative data, respectively Results: Subjects with any mental morbidity reported disability of varying severities across different domains of life; family life was affected the most (70.1%). One in every six persons reported that their mental illness interfered with their daily activities to a large extent. Economic burden was high and a typical family would spend about INR 1500/month (US$23) towards the treatment of its member with mental morbidity. Family members had to forego their work for at least 7 days in 3 months to take care of their relative with mental illness. Conclusion: Mental illness causes disability in the individual and has tremendous socio-economic impact on the family, incapacitating a family’s productivity to a large extent and thus affecting the society.

scholarly journals Prevalence of Mental Disorders in Nepal: Findings from the Pilot Study

2019 ◽  
Vol 17 (2) ◽  
pp. 141-147 ◽  
Author(s):  
Anjani Kumar Jha ◽  
Saroj Prasad Ojha ◽  
Sushma Dahal ◽  
Pawan Sharma ◽  
Sagun Ballav Pant ◽  
...  
Keyword(s):  
Mental Health ◽  
Major Depressive Disorder ◽  
Pilot Study ◽  
Mental Disorders ◽  
Depressive Disorder ◽  
Health Survey ◽  
Conversion Disorder ◽  
Major Depressive ◽  
Mental Health Survey ◽  
National Mental Health

Background: The global prevalence of mental disorders is high and has an increasing trend. In Nepal, there is dearth in literature on prevalence of mental disorders based on national representative sample. In this study, we aim to present the findings on the prevalence of mental disorders from the pilot study of National Mental Health Survey, Nepal. Methods: A cross-sectional study was conducted among 1647 participants aged 13 years and above in three districts of Nepal: Dhanusha, Bhaktapur and Dolakha each representing three ecological regions. Mini International Neuropsychiatric Interview (MINI) standard version 7.0.2 for DSM-5 was used for adults (aged 18 years and above), and kid version of the same tool was used for children (aged 13-17 years) in Nepali language. Separate sets of questions were added for epilepsy and dissociative conversion disorder that were not in the Mini International Neuropsychiatric Interview tool. Prevalence of assessed mental disorders was reported separately for adults and children.Results: The current prevalence of mental disorders among adults and children were 13.2% and 11.2% respectively. Substance use disorder, dissociative conversion disorder, major depressive disorder, alcohol use disorder and psychotic disorder were common among adults. Similarly, psychotic disorder, agoraphobia, major depressive disorder, and anxiety disorders were common among children. Current suicidality was present among 10.9% adults and 8.7% children.Conclusions: Our findings from the pilot study have given insight into the prevalence of different mental disorders in the survey areas. These findings can be utilized for planning the National Mental Health Survey, Nepal. Keywords: Mental disorders; mental health survey; MINI; Nepal; pilot study.

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