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Background: Use of maternal near-miss (MNM) cases as an adjunct has been advocated to understand the processes of obstetric care because they share similar pathways as maternal deaths. Identifying the predictors and care pathway is crucial to improve the quality of care and end preventable maternal deaths. Materials and Methods: This case–control study was conducted at a tertiary care facility in Kolkata from May 2019 to March 2020. Women admitted with complications during pregnancy, childbirth, or within 42 days of postpartum, who met the World Health Organization (WHO) near-miss criteria, were identified as cases, and equivalent age-group matched controls were recruited. Sample size of 60 cases and 60 controls was estimated, assuming a power of 80%, level of significance 0.05, and case–control ratio of 1. After obtaining approval from the institutional ethics committee and informed written consent from the participants, data was collected through face-to-face interview and review of records. Statistical analysis including care pathway analysis (using three-delay model) was performed using Statistical Package for Social Sciences version 16. Results: Joint family type (adjusted odds ratio [AOR] [CI] = 5.06 [1.48, 7.28]), lack of antenatal checkups (AOR [CI] = 7.85 [1.47, 12.09]), previous history of cesarean section (AOR [CI] = 3.94 [1.09, 14.33]), first delay in seeking care (AOR [CI] = 13.84 [3.62, 32.83]), and preexisting medical disorders (AOR [CI] = 11.03 [4.62, 22.80]) were identified as significant predictors of MNM in the adjusted model. Significant difference in the proportion of first and second delays in the care pathway was observed between cases and controls. Conclusions: Identification of risk factors of MNM and pattern of delays in the care pathway will help improving quality of obstetric care. [ABSTRACT FROM AUTHOR]

India's scheduled tribe population very often bears the brunt of inequity in accessing health care. The mixed-method research assessed the health care seeking behavior (HSB) of a tribal community residing in the eastern fringes of Kolkata metropolis. An adult, preferably the head, in 209 households was interviewed followed by qualitative interviews with relevant stakeholders. Conceptual framework of Andersen's behavioral model helped in identifying the potential predisposing, enabling, and need factors that influenced HSB. A total of 25.4% respondents reportedly sought informal care during last illness episode. Multivariable hierarchical-regression model (Nagelkerke R 2 = 0.381) showed that respondents' education level [adjusted odds ratio (AOR) = 2.52], household size (AOR = 3.14), nonenrollment to health insurance (AOR = 2.47), decision making by household head (AOR = 2.40), distance from the nearest urban primary health center (AOR = 3.18), and poor perception to illness severity (AOR = 2.24) were significantly associated to inappropriate HSB. Predominant health system barriers that emerged from qualitative interviews were irregular logistics, unfavorable outpatient timing, absence of female doctors, and nonretention of doctors at local urban primary health center. Community level barriers were poor awareness, self-medication practices, poor health insurance coverage, and poor public transportation. Recognition of these determinants may help in developing health promotion interventions tailored to their needs. [ABSTRACT FROM AUTHOR]