Decomposing the Caesarean section trend in Bangladesh (2012-2025): A multivariate Linear Probability Model analysis

Background While Caesarean section is a life-saving intervention when medically indicated, the World Health Organization recommends an optimal population-level rate of 10% to 15% to prevent iatrogenic morbidities. In Bangladesh, however, rapid clinical integration within a commercialized, dual-practice healthcare architecture has coincided with an unprecedented escalation in surgical deliveries. Because standard cross-sectional models cannot algebraically separate population shifts from changing provider propensity, this study aimed to decompose the compositional and behavioral drivers of the

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