Psychiatric morbidity in the community: A population based-study from Kerala

Area of Science:

• Public Health
• Psychiatry
• Epidemiology

Background:

• Accurate estimates of psychiatric morbidity are crucial for effective community mental health service development.
• Utilizing trained non-specialist healthcare providers can enhance the scalability of mental health services, particularly in resource-limited settings.

Purpose of the Study:

• To estimate the prevalence of priority mental health conditions within populations served by the District Mental Health Program (DMHP).

Main Methods:

• A population-based cross-sectional survey was conducted using stratified cluster sampling in five districts of Kerala.
• Trained Accredited Social Health Activists (ASHAs) screened individuals for symptoms of psychosis, while clinicians confirmed probable cases.
• Standardized screening tools like the General Health Questionnaire-12 were used to identify common mental disorders (CMDs), alcohol-related problems, and functional impairment.

Main Results:

• The overall prevalence of mental health conditions in the adult population was 12.43%.
• Common mental disorders (CMDs) were the most prevalent (9%), followed by clinically significant alcohol-related problems (1.46%), dementia and cognitive impairments (1.26%), and psychosis (0.71%).
• Informant-based case finding proved effective for identifying psychosis.

Conclusions:

• Mental health conditions represent a significant public health burden in the community.
• Non-specialist healthcare providers can be effectively trained to detect psychiatric morbidity, thereby helping to reduce the treatment gap.
• Integrating operational research into District Mental Health Programs (DMHPs) can improve the efficiency of service scaling.