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Around three million infants die within the first four weeks of life each year – nearly all (98%) of these deaths occur in developing countries. Approximately one million newborns die each year in India. Therefore, this study aims to determine the patterns of reported neonatal morbidity and care-seeking behavior and identify factors associated with it.

A cross-sectional study was conducted during November 2016. A systematic random sampling technique was used to select the sample. Statistical techniques like Binary Logistic regression and chi-square test were used.

The results of the study showed that around 31% mothers of neonates reported that their neonates suffered from some kind of morbidity. Fever, jaundice, cough and cold, the low birth-weight and difficulty in breathing were the most common dangers signs reported. Birth order and mother’s knowledge of neonatal danger signs were found to be significantly associated with reporting of neonatal morbidity. In all 95% of the mothers sought care for their newborns. Among those who had problems, 59% consulted private hospitals/clinics, 30% visited District Hospital/Taluka Hospital or higher facilities and another 9% to Primary Health Centers/Community Health Centers. Further, findings show that nearly half of the neonates taken to government facilities have got free treatment, whereas an average cost of 7,156 INR were recorded for treatment, 935 INR for outpatient department and 13,774 INR for inpatient department cases.

There is an urgent need to implement intervention modalities that focus on increasing the level of parental education and access to treatment, and advocating the message regarding newborn danger signs during pregnancy is pinpointed.

Caesarean section (CS) is being used as a life-saving surgical tool when complications arise in the process of childbirth. CS rates have dramatically increased across the world, especially in recent decades. In this background, the purpose of this paper is to explore the CS rates and its determinants in Karnataka, India.

The study uses multiple rounds of the District Level Household Survey (DLHS) data to show the trends, differentials and determinants in CS deliveries. Both bivariate and multivariate analyses have been carried out, and the χ² test and logistic regression models were applied.

Result shows a sharp increase in CS rates across Karnataka; further, this is high and reaches an alarming level in southern parts of the state. Along with a huge rural–urban difference, significant biological and socio-economic differences were observed. Further, a very dramatic increase in the CS rate was observed in private health facilities, whereas it was stagnant or even decreased in public health facilities during recent years. Mothers age at birth, birth weight, birth order, multiple births, birth institution and place of residence were significantly associated with CS delivery. Unlike these biological factors, the social-economic factors like maternal education, caste, religion and below poverty line household were not found to be significant in determining CS deliveries.

A strong policy to address the dramatic increase in CS deliveries is the need of the hour. Further, there should be a proper mechanism at national, state and sub-state level to provide appropriate checks and monitoring for CS deliveries which are unnecessary.