Assessment of maternal health services utilization in Pakistan: the role of socio-demographic characteristics

Aslam, Muhammad; Sadiq, Maryam; Mehmood, Tahir

doi:10.1515/abm-2020-0002

“…Antenatal care is an important factor for not only the mother's health but also plays a crucial role in the baby's health during the early days after birth (Aslam, Sadiq, & Mehmood, 2020). Women who use antenatal care services are more likely to deliver in an institution as compared to their counterparts (Ram & Singh, 2006).…”

Section: Empirical Modelmentioning

confidence: 99%

Women Empowerment and Utilization of Maternal Health Care in Pakistan

Khan

¹

2021

Pak. J. Humanit. Soc. Sci

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The impact of women's empowerment is examined on the utilization of maternal health care services in Pakistan. The empirical analysis based on logistic regression shows that women's education is the most important factor to improve maternal health among women. Other predisposing factors like parity and health belief are also contributing factors. Household wealth status turned out to be the most significant factor among other enabling factors like ease of access and source of information. Death of the child in previous pregnancies is the only need factor and we have found it statistically significant in the case of postnatal care.

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“…Further influencing factors identified in the literature include the wealth status (Aslam, Sadiq, & Mehmood, 2020;Mosiur Rahman et al, 2011;Ndugga et al, 2020;Sultana & Shaikh, 2015;Yaya, Da, Wang, Tang, & Ghose, 2019) age, material status of women (Akibu et al, 2018;Babalola & Fatusi, 2009;Izudi, Akwang, & Amongin, 2017;Mohan et al, 2015;Rutaremwa, Wandera, Jhamba, Akiror, & Kiconco, 2015), health care facilities and distance from the clinic (Babalola & John, 2012;Dahiru & Oche, 2015;Rutaremwa et al, 2015), birth order and place of delivery (Akibu et al, 2018;Mohan et al, 2015). Religion is influential factor shaping customs and beliefs, norms which impact the decision on either attaining PNC as the study revealed that Muslim women were more reluctant to receive PNC than women belong to other religious G. Postnatal care Health Infrastructure (Barman, Saha, & Chouhan, 2020;Woldemicael & Tenkorang, 2010).…”

Section: Literature Reviewmentioning

confidence: 99%

Antenatal Care (ANC) Coverage, Health Infrastructure, and Postnatal Care (PNC) Services Utilization: A District Level Analysis of Punjab-Pakistan

Gillani

¹

,

Ahmad

²

,

Wang

³

et al. 2021

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Awareness of receiving postnatal care is uncommon in Punjab (Pakistan) and supply-side is also unfortunate. Sufficient uptake of PNC may helpful in reducing maternal mortality. Thus, this study explored the demand and supply-side determinants of maternal health (utilization of PNC) care for 35 districts of Punjab, Pakistan. Percentage of women of reproductive ages using PNC services in the 35 districts of Punjab was the outcome variable. While, ANC utilization, adult literacy rate, household wealth, physical infrastructure had been considered as the explanatory variables. Secondary data were obtained from Punjab Development Statistics reports from the years 2010 to 2016. Pooled ordinary least square (OLS) and Generalized Method of Moments (GMM) were applied as estimation techniques. It was found that the percentage of women of reproductive ages using ANC services (0.662, p < 0.01), the percentage of households receiving remittances from abroad (0.570, p < 0.01), the percentage of households having access to improved sanitation facilities (0.569, p < 0.01), the percentage of households having their own houses (0.530, p < 0.05), and district-based health infrastructure index (0.237, p < 0.05) had strong positive and significant impact on PNC utilization. The study concluded that district-based targets relating to PNC coverage could be achieved by intervening through ANC utilization behavior, household wealth (remittances receipts), and through the provision of infrastructure (healthcare, sanitation) to the residents of the district. Need to ensure the availability and accessibility of PNC in order to reduce the health disparities among the districts of Punjab.

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“…Several studies have assessed the significant influential factors of antenatal care attendance in Pakistan without considering the frequency of ANC [ 4 , 5 ]. Poisson regression, negative binomial regression, zero-inflated, and hurdle regression models have been commonly used to model the count of ANC visits [ 6 , 7 ]. Binary logistic regression and a multinomial logistic regression model are also found to study the use and ranks of ANC visits [ 5 , 8 ].…”

Section: Introductionmentioning

confidence: 99%

Modeling the Ranked Antenatal Care Visits Using Optimized Partial Least Square Regression

Sadiq

¹

,

Abdulrahman

²

,

Alharbi

³

et al. 2022

Computational and Mathematical Methods in Medicine

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The frequency and timing of antenatal care visits are observed to be the significant factors of infant and maternal morbidity and mortality. The present research is conducted to determine the risk factors of reduced antenatal care visits using an optimized partial least square regression model. A data set collected during 2017-2018 by Pakistan Demographic and Health Surveys is used for modeling purposes. The partial least square regression model coupled with rank correlation measures are introduced for improved performance to address ranked response. The proposed models included PLS ρ s , PLS τ A , PLS τ B , PLS τ C , PLS D , PLS τ G K , PLS G , and PLS U . Three filter-based factor selection methods are executed, and leave-one-out cross-validation by linear discriminant analysis is measured on predicted scores of all models. Finally, the Monte Carlo simulation method with 10 iterations of repeated sampling for optimization of validation performance is applied to select the optimum model. The standard and proposed models are executed over simulated and real data sets for efficiency comparison. The PLS ρ s is found to be the most appropriate proposed method to model the observed ranked data set of antenatal care visits based on validation performance. The optimal model selected 29 influential factors of inadequate use of antenatal care. The important factors of reduced antenatal care visits included women’s educational status, wealth index, total children ever born, husband’s education level, domestic violence, and history of cesarean section. The findings recommended that partial least square regression algorithms coupled with rank correlation coefficients provide more efficient estimates of ranked data in the presence of multicollinearity.

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Assessment of maternal health services utilization in Pakistan: the role of socio-demographic characteristics

Cited by 10 publications

References 19 publications

Women Empowerment and Utilization of Maternal Health Care in Pakistan

Women Empowerment and Utilization of Maternal Health Care in Pakistan

Antenatal Care (ANC) Coverage, Health Infrastructure, and Postnatal Care (PNC) Services Utilization: A District Level Analysis of Punjab-Pakistan

Modeling the Ranked Antenatal Care Visits Using Optimized Partial Least Square Regression

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