| Summary: | Background
National Mental Health Survey found that in India, the point prevalence
of major depressive disorder (MDD) was 2.7% and the treatment gap was
85.2%, whereas in Madhya Pradesh the point prevalence of MDD was 1.4% and
the treatment gap was 80%.
Aims
To describe the baseline prevalence of depression among adults,
association of various demographic and socioeconomic variables with
depression and estimation of contact coverage for the same.
Method
Population-based cross-sectional survey of 3220 adults in Sehore district
of Madhya Pradesh, India. The outcome of interest was a probable
diagnosis of depression that was measured using the Patient Health
Questionnaire (PHQ-9) and the proportion of individuals with depression
(PHQ-9>9) who sought care for the same. The data were analysed using
simple and multiple log-linear regression.
Results
Low educational attainment, unemployment and indebtedness were associated
with both moderate/severe depression (PHQ-9 score >9) and severe
depression only (PHQ-9 score >14), whereas age, caste and marital
status were associated with only moderate or severe depression. Religion,
type of house, land ownership and amount of loan taken were not
associated with either moderate/severe or only severe depression. The
contact coverage for moderate/severe depression was 13.08% (95% CI
10.2–16.63).
Conclusions
There is an urgent need to bridge the treatment gap by targeting
individuals with social vulnerabilities and integrating evidence-based
interventions in primary care.
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