Has Muslim Got Benefited from the National Health Mission? A Situational Analysis of Maternal Health Services in India

Mondal, Nasim Ahamed; Ali, Balhasan; Sk, Illias Kanchan

doi:10.4314/ejhs.v30i5.19

Cited by 2 publications

(2 citation statements)

References 14 publications

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“…Age: The expected count of infant deaths for mothers aged less than 19 years and more than 35 years at their first birth is 32% higher than for the reference group (19)(20)(21)(22)(23)(24)(25)(26)(27)(28)(29)(30)(31)(32)(33)(34)(35). Again, the risk of infant mortality is 1.27 times higher (e .242 = 1.27, P =.000) https://www.indjst.org/ for mothers aged less than 19 years and more than 35 years at the time of their first birth in the zero inflation group compared to mothers aged (19-35) years.…”

Section: Place Of Residencementioning

confidence: 99%

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Determinants of Infant Mortality in Assam, India: Modelling with Generalised Linear Regression Model for Count Data

Baruah,

Barman,

Bora

et al. 2023

IJST

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Objectives: Compared to other states of the country, infant mortality situation in Assam is still substandard. This study attempts to model infant mortality counts, determine the associated risk factors in Assam. Methods: Data have been extracted from the NFHS-5 of India. The "number of infant deaths", is the explained variable used in the present study with several explanatory variables. 34,979 mothers in 33 districts of Assam are included to train the count model. The fitted models are compared by various techniques like Akaike Information Criteria (AIC) and Bayesian Information Criteria (BIC), Receiver Operating Characteristic (ROC) curves and Area under the curve (AUC). Findings: In the data set, 89.72% of the mothers have not faced any infant deaths in their lifetime. The average number of infant deaths is 0.39, with a variance of 0.689, indicating that overdispersion is present. However, the overdispersion could be due to observational variation or excess zeros. The likelihood ratio chisquare test is used to determine the significance of the inflation parameter. The result of the statistic is 312.32 with an associated P-value of 0.000, so the inflation parameter is significant. Hence, it is better to use a model that considers excess zeros. Among the models, the zero-inflated negative binomial model with the least AIC (34781.56) and BIC (35217.86) is considered to be a better-fitting model than the other candidate models to meet the objective. Moreover, the zero-inflated negative binomial model (ZINB) has the greatest AUC (0.7196). The regression analysis indicates that residential status, religion, wealth index, mother's age at first birth, mother's educational level, and birth order significantly influence the risk of infant mortality. Novelty: The findings of this study might help policymakers to identify which socio-economic and demographic groups should be given preference to encourage women and to reduce infant mortality. https://www.indjst.org/

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Section: Place Of Residencementioning

confidence: 99%

“…The National Health Mission (NHM) 2005 was a significant effort by the Indian government to enhance healthcare for pregnant women and infants and to close the gap between the country's many religious communities. This mission plays a significant role in increasing the rate of utilisation of maternal care services among Muslims (19) .…”

Section: Level Of Educationmentioning

confidence: 99%

Determinants of Infant Mortality in Assam, India: Modelling with Generalised Linear Regression Model for Count Data

Baruah,

Barman,

Bora

et al. 2023

IJST

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Disparities in three critical maternal health indicators amongst Muslims: Vis-a-vis the results reflected on National Health Mission

Ali

Biswas

et al. 2022

BMC Public Health

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Background The post national health mission era has been recognized for India’s accelerating improvement in maternal health care utilization. Concurrent investigations with the purview of examining inequalities in maternal care utilisation have rigorously examined across various socio-economic groups, focusing on Muslim women. The present study examined socio-economic differentials in maternal health care utilisation among Muslims and the delineated factors which are contributing for these inequalities. Methods Study used the data from National Family Health Survey (NFHS) conducted in 2005-06 and 2015-16. the present study applied concentration index and Wagstaff-type decomposition analysis to measure and decompose the inequality in maternal health services. Results This study found that utilisation of full antenatal care (full ANC), skilled attendants at birth (SBAs) and postnatal care was increased during 2005-06 to 2015-16. However, the least improvement was observed in full antenatal care whereas substantial improvement was achieved in utilising skilled attendants at birth. Further, the poor and non-poor gap in maternal health care utilisation mostly prevailed among the educated, urban resident, other backward castes among Muslims. The inequality has been declined largely in SBA utilisation compared to full ANC and PNC, especially in the southern India. Higher education, mass media exposure, higher birth order and urban residence contribute and explain most of these inequalities in maternal care among Muslim women Conclusions Despite the fact that free and cash benefitted health programmes, wealth, mass media exposure and education etc welfare programs benefitted a large number of citizens, it also produced most of the inequalities among Muslims in India. The results focus on the significance of wealth, education, and mass media exposure in bridging the socioeconomic gap in maternal health care utilization among Muslims.

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Has Muslim Got Benefited from the National Health Mission? A Situational Analysis of Maternal Health Services in India

Cited by 2 publications

References 14 publications

Determinants of Infant Mortality in Assam, India: Modelling with Generalised Linear Regression Model for Count Data

Determinants of Infant Mortality in Assam, India: Modelling with Generalised Linear Regression Model for Count Data

Disparities in three critical maternal health indicators amongst Muslims: Vis-a-vis the results reflected on National Health Mission

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