Answers are grounded in this paper and cite their sources.
Health insurance is a critical instrument of financial risk protection, yet awareness of it, and the perception that shapes its use, remain unevenly distributed across India’s urban workforce. This paper presents a socio-demographic analysis of health insurance awareness and perception among salaried individuals in Pune City, Maharashtra. A cross-sectional design was adopted and a structured questionnaire administered to salaried respondents drawn from six occupational clusters in the Pune Metropolitan Region. A calibrated dataset of 400 respondents was analysed to demonstrate the framework. Reliability was assessed using Cronbach’s alpha, and associations were tested using chi-square tests, analysis of variance, independent-samples t-tests, Pearson correlation and both binary logistic and ordinary-least-squares regression. Item-wise results indicate high self-reported awareness (composite M = 3.99, α = 0.640) and favourable overall perception (M = 4.00, α = 0.656). Income (χ² = 8.45, p = 0.038) and education (χ² = 11.15, p = 0.011) were significantly associated with awareness level, whereas gender, age, sector and marital status were not. In binary logistic regression, education (OR = 1.39, p = 0.007) and income (OR = 1.31, p = 0.011) significantly predicted high awareness. Perception did not differ significantly across income, sector, age or gender; education had only a marginal effect (F = 2.18, p = 0.090). Awareness and perception were weakly correlated (r = 0.06, p = 0.225), indicating that knowing about insurance and valuing it are empirically distinct constructs. The study recommends education-led, segment-specific awareness campaigns and transparent product communication to close the awareness–perception–action gap.
No takes yet. Share an insight, caveat, or question.
P.Suke et al. (2026) studied this question.
Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context: