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Research Article

Institutional deliveries in India’s nine low performing states: levels, determinants and accessibility

ORCID Icon & ORCID Icon
Article: 2001145 | Received 02 Aug 2021, Accepted 27 Oct 2021, Published online: 16 Dec 2021

Figures & data

Figure 1. Map showing geographical location of the study area (LPS) in the country

Figure 1. Map showing geographical location of the study area (LPS) in the country

Figure 2. Selection of study participants, NFHS-4 2015–16

Figure 2. Selection of study participants, NFHS-4 2015–16

Figure 3. Conceptual framework showing the influence of background and intermediate factors on institutional delivery

Figure 3. Conceptual framework showing the influence of background and intermediate factors on institutional delivery

Table 1. Descriptive statistics for the study participants, LPS, NFHS-4 2015–16 (n = 112,518)

Figure 4. Maternal mortality ratio (MMR) in LPS and other India states, SRS 2016–18

Figure 4. Maternal mortality ratio (MMR) in LPS and other India states, SRS 2016–18

Figure 5. Coverage of institutional delivery (%) across LPS, NFHS-4 2015–16

Figure 5. Coverage of institutional delivery (%) across LPS, NFHS-4 2015–16

Figure 6. Distribution of institutional delivery (%) by public-private sector across LPS, NFHS-4 2015–16

Figure 6. Distribution of institutional delivery (%) by public-private sector across LPS, NFHS-4 2015–16

Table 2. Percentage distribution of institutional deliveries by selected characteristics across LPS, NFHS-4 2015–16

Table 3. Multivariate logistic regression models assessing socio-demographic and intermediate factors influencing institutional deliveries across LPS, NFHS-4 2015–16

Table 4. Percentage distribution of reasons for not delivering in a health facility across LPS, NFHS-4 2015–16

Table 5. Perceived distance to the health facility across LPS, NFHS-4 2015–16

Table 6. Interaction models (bivariate and multivariate) assessment to determine the impact of place of residence and distance to the health facility on institutional delivery utilization in LPS, NFHS-4 2015–16

Table 7. The percentage distribution (%) and multivariate logistic analysis assessing the likelihood of JSY scheme utilization by socio-demographic characteristics of women in LPS, NFHS-4 2015–16

Figure 7. Coverage of JSY scheme (%) across LPS, NFHS-4 2015–16

Figure 7. Coverage of JSY scheme (%) across LPS, NFHS-4 2015–16