Institutional Births Research Articles

Association between neonatal mortality and births not weighed among 400 thousand institutional deliveries in 32 low- and middle-income countries.

Low birthweight (LBW) children have a higher risk of neonatal mortality. All institutional deliveries, therefore, should be weighed to determine appropriate care. Mortality risk for newborns who are not weighed at birth (NWB) is unknown. This paper used logit regression models to compare the odds of death for NWB neonates to that of other neonates using data on 401 712 institutional births collected in Demographic and Health Surveys from 32 low- and middle-income countries. In the pooled sample, 2.3% died in the neonatal period and 12% were NWB. NWB neonates had a high risk of mortality compared to normal birthweight children (Adjusted odds ratio [AOR] 5.8, 95% CI: 5.3, 6.5). The mortality risk associated with NWB was higher than for LBW. The neonatal mortality risk associated with NWB varied across countries from AOR of 2.1 (95% CI: 1.22, 3.8) in Afghanistan to 94 (95% CI: 22, 215) in Gabon. In the pooled sample, the 12% of children who were NWB accounted for 37% of all neonatal deaths. The association between NWB and neonatal mortality may suggest a need to focus on the quality of institutions related to newborn care. However, further studies are needed to determine causality. A health emergency or death may also cause NWB.

Sociodemographic characteristics of non-institutional births and the association with neonatal and infant mortality in Japan

ObjectivesIn this study, the association of non-institutional births with neonatal and infant mortality in Japan was investigated as well as sociodemographic characteristics of non-institutional births. MethodsThe Vital Statistics data in Japan (the birth data from 2012 to 2021 and mortality data from 2012 to 2022) were used. Births were classified into three types based on the place of birth and birth attendant: institutional births, non-institutional births with a physician or a midwife, and non-institutional births without a physician or a midwife. Modified Poisson regression was used in order to investigate the association between the type of birth and neonatal and infant mortality and the association between sociodemographic characteristics and the type of birth. ResultsA total of 9,422,942 births were used in the analysis. The results of regression analysis investigating an association between the type of birth and neonatal and infant mortality showed that non-institutional births were positively associated with neonatal and infant mortality regardless of the attendance of a physician or a midwife. Furthermore, the results of regression analysis investigating predictors of non-institutional births showed that factors such as non-urban regions, older maternal age groups, and unmarried status of mothers were positively associated with the two types of non-institutional births, and non-Japanese mother was positively associated with non-institutional births without a physician or a midwife. ConclusionsNon-institutional births were a predictor of neonatal and infant mortality regardless of the attendance of a physician or midwife, and some sociodemographic characteristics have been proven to be predictors of non-institutional births.

Does mistreatment during institutional childbirth increase the likelihood of experiencing postpartum depressive symptoms? A prospective cohort study in Nepal

ABSTRACT Background Postpartum depression is associated with low socioeconomic status, adverse birthing processes, and life stress. Increasing evidence of mistreatment during childbirth, negative birth experiences, and poor quality of maternal care is of global concern. Objective To assess the risk of experiencing depressive symptoms among postpartum women exposed to mistreatment during institutional birthing in Nepal. Method We conducted a prospective cohort study from 29 March to 19 August 2022. Of 1629 women who gave birth in a hospital in Nepal, 1222 were assessed for mistreatment during childbirth and depressive symptoms using the Edinburgh Postnatal Depression Scale. We used binomial generalized linear mixed model to examine the risk ratio of postpartum depressive symptoms in women exposed to mistreatment during childbirth. Results The prevalence of postpartum depressive symptoms was 4.4%. Women exposed to mistreatment during childbirth were almost fifty percent more likely to have postpartum depressive symptoms (cRR 1.47; 95% CI 1.14, 1.89; p = 0.003) compared with the unexposed group. Furthermore, adolescent mothers exposed to mistreatment during childbirth had a seventy percent increased risk of depressive symptoms (aRR 1.72; 95% CI 1.23, 2.41; p = 0.002). Similarly, women who gave birth to female infants were thirty percent more likely to experience postpartum depressive symptoms (aRR 1.32; 95% CI 1.01–1.74; p = 0.039). Conclusion We observed an association between postpartum depressive symptoms and mistreatment during institutional births in Nepal. The implementation of appropriate respectful maternity care during childbirth and also routine screening for depressive symptoms is critical to improving perinatal mental health and well-being.

Antenatal Care Visits, Institutional Births, and Associated Risk Factors in Afghanistan: Insights from the Multiple Indicator Cluster Survey 2022-2023.

Insufficient use of antenatal care (ANC) services and institutional births services can elevate the maternal mortality risk in limited resource settings. Hence, the key objective of this study was to evaluate the potential association between the frequency of ANC visits and institutional birth services in Afghanistan, while also identifying other sociodemographic factors that may exert influence. Furthermore, we explored factors associated with the attendance of women at ANC visits during their pregnancy. We employed data from the most recent Multiple Indicator Cluster Survey conducted in Afghanistan in 2022 to 2023 with a total of 8096 women aged 15 to 49. A complex survey weight-adjusted logistic regression model was used to examine factors related to institutional births, and a multinomial logistic regression model was fitted to assess the relationships between sociodemographic factors and ANC visits, adjusting for survey weights, cluster effects, and strata. Approximately 40% of the sample (n = 3247) had undergone 4 or more ANC visits, and 74.4% (n = 6,022) had opted for institutional birth. Women's higher education was found to be associated with ANC visits. The area of residence, wealth index, education levels of women, ownership of mobile phones, number of children, and number of ANC visits were associated with institutional births. Compared with women with no or one ANC visit, those with more than 3 visits had 31% higher odds (adjusted odds ratio, 1.31; 95% CI, 1.10-1.57) of accessing institutional births. Our findings indicate a significant association between ANC visits and use of institutional birth care. These findings carry implications for advancing safe motherhood and childbirth by enhancing women's social status.

Effect of Performance-Based Nonfinancial Incentives on Data Quality in Individual Medical Records of Institutional Births: Quasi-Experimental Study.

Despite the potential of routine health information systems in tackling persistent maternal deaths stemming from poor service quality at health facilities during and around childbirth, research has demonstrated their suboptimal performance, evident from the incomplete and inaccurate data unfit for practical use. There is a consensus that nonfinancial incentives can enhance health care providers' commitment toward achieving the desired health care quality. However, there is limited evidence regarding the effectiveness of nonfinancial incentives in improving the data quality of institutional birth services in Ethiopia. This study aimed to evaluate the effect of performance-based nonfinancial incentives on the completeness and consistency of data in the individual medical records of women who availed institutional birth services in northwest Ethiopia. We used a quasi-experimental design with a comparator group in the pre-post period, using a sample of 1969 women's medical records. The study was conducted in the "Wegera" and "Tach-armacheho" districts, which served as the intervention and comparator districts, respectively. The intervention comprised a multicomponent nonfinancial incentive, including smartphones, flash disks, power banks, certificates, and scholarships. Personal records of women who gave birth within 6 months before (April to September 2020) and after (February to July 2021) the intervention were included. Three distinct women's birth records were examined: the integrated card, integrated individual folder, and delivery register. The completeness of the data was determined by examining the presence of data elements, whereas the consistency check involved evaluating the agreement of data elements among women's birth records. The average treatment effect on the treated (ATET), with 95% CIs, was computed using a difference-in-differences model. In the intervention district, data completeness in women's personal records was nearly 4 times higher (ATET 3.8, 95% CI 2.2-5.5; P=.02), and consistency was approximately 12 times more likely (ATET 11.6, 95% CI 4.18-19; P=.03) than in the comparator district. This study indicates that performance-based nonfinancial incentives enhance data quality in the personal records of institutional births. Health care planners can adapt these incentives to improve the data quality of comparable medical records, particularly pregnancy-related data within health care facilities. Future research is needed to assess the effectiveness of nonfinancial incentives across diverse contexts to support successful scale-up.

Barriers to use of institutional childbirth services: a qualitative study in the rural Jimma Zone, Ethiopia

Background/Aims Institutional birth and skilled birth attendants are two important elements of preventing maternal and newborn deaths. In Ethiopia, despite improved health access, many women give birth without skilled assistance. This study was conducted to identify barriers to institutional childbirth in the Jimma Zone, Ethiopia. Methods An exploratory qualitative case study was conducted, incorporating 16 focus group discussions and 18 in-depth interviews carried out in the Jimma Zone, Ethiopia in 2019. The participants were purposefully recruited and included members of the Women's Development Army, religious leaders, health extension workers, midwifery nurses, primary healthcare unit directors and women of reproductive age. Data were transcribed and translated into English and thematically analysed. Results Five themes emerged from the data: knowledge gaps, beliefs about pregnancy and childbirth, poor access to healthcare services, lack of resources and poor community involvement in institutional childbirth. Conclusions Healthcare services should be aware of local beliefs and cultural norms when encouraging the use of institutional childbirth services. The Ministry of Health must ensure that all services are equipped with adequate resources, both in terms of medical supplies and staff.

Determinants of public institutional births in India: An analysis using the National Family Health Survey (NFHS-5) factsheet data.

Institutional births ensure deliveries happen under the supervision of skilled healthcare personnel in an enabling environment. For countries like India, with high neonatal and maternal mortalities, achieving 100% coverage of institutional births is a top policy priority. In this respect, public health institutions have a key role, given that they remain the preferred choice by most of the population, owing to the existing barriers to healthcare access. While research in this domain has focused on private health institutions, there are limited studies, especially in the Indian context, that look at the enablers of institutional births in public health facilities. In this study, we look to identify the significant predictors of institutional birth in public health facilities in India. We rely on the National Family Health Survey (NFHS-5) factsheet data for analysis. Our dependent variable (DV) in this study is the % of institutional births in public health facilities. We first use Welch's t-test to determine if there is any significant difference between urban and rural areas in terms of the DV. We then use multiple linear regression and partial F-test to identify the best-fit model that predicts the variation in the DV. We generate two models in this study and use Akaike's Information Criterion (AIC) and adjusted R2 values to identify the best-fit model. We find no significant difference between urban and rural areas (P = 0.02, α =0.05) regarding the mean % of institutional births in public health facilities. The best-fit model is an interaction model with a moderate effect size (Adjusted2 = 0.35) and an AIC of 179.93, lower than the competitive model (AIC = 183.56). We find household health insurance (β = -0.29) and homebirth conducted under the supervision of skilled healthcare personnel (β = -0.56) to be significant predictors of institutional births in public facilities in India. Additionally, we observe low body mass index (BMI) and obesity to have a synergistic impact on the DV. Our findings show that the interaction between low BMI and obesity has a strong negative influence (β = -0.61) on institutional births in public health facilities in India. Providing households with health insurance coverage may not improve the utilisation of public health facilities for deliveries in India, where other barriers to public healthcare access exist. Therefore, it is important to look at interventions that minimise the existing barriers to access. While the ultimate objective from a policy perspective should be achieving 100% coverage of institutional births in the long run, a short-term strategy makes sense in the Indian context, especially to manage the complications arising during births outside an institutional setting.

Are institutional deliveries equitable in the southern states of India? A benefit incidence analysis

BackgroundDespite a commendable rise in the number of women seeking delivery care at public health institutions in South India, it is unclear if the benefit accrues to wealthier or poorer socio-economic groups. The study’s aim was to investigate at how the public subsidy is distributed among Indian women who give birth in public hospitals in the southern regions.MethodsData from the Indian Demographic Health Survey’s fifth wave (NFHS-5, 2019–21) was used in this study. A total of 22, 403 were institutional deliveries across all the southern states of India were included. Out-of-pocket expenditure (OOPE) on childbirth in health institutions was the outcome variable. We used summary statistics, Benefits Incidence Analysis (BIA), concentration index (CI), and concentration curve (CC) were used.ResultsMost women in the lowest, poorest, and medium quintiles of wealth opted to give birth in public facilities. In contrast, about 69% of mothers belonging to highest quintile gave birth in private health institutions. The magnitude of CI and CC of institutional delivery indicates that public sector usage was concentrated among poorer quintiles [CIX: − 0.178; SE: 0.005; p < 0.001] and private sector usage was concentrated among wealthier quintiles [CIX: 0.239; SE: 0.006; p < 0.001]. Benefit incidence analyses suggest that middle quintile of women received the maximum public subsidy in primary health centres (33.23%), followed by richer quintile (25.62%), and poorer wealth quintiles (24.84%). These pattern in the secondary health centres was similar.ConclusionPoorer groups utilize the public sector for institutional delivery in greater proportions than the private sector. Middle quintiles seem to benefit the most from public subsidy in terms of the median cost of service and non-payment. Greater efforts must be made to understand how and why these groups are being left behind and what policy measures can enhance their inclusion and financial risk protection.

Incentivizing Demand for Supply-Constrained Care: Institutional Birth in India

Abstract If overcrowding harms health care quality, the impacts of encouraging more people to use services are not obvious. Impacts will depend on whether marginal entrants benefit and whether they benefit enough to offset the congestion externalities imposed on inframarginal users. We develop a general-equilibrium model that formalizes these ideas. We examine them empirically by studying JSY, a program in India that paid women to give birth in medical facilities. We find evidence that JSY increased perinatal mortality in areas with low health-system capacity, was particularly harmful in more-complex births, reduced the quality of facilities' postnatal care, and generated harmful spillovers onto other services.

Impact of Institutionalisation of Births on Health Policies and Birth Registration in India.

Background: The Registration of Births and Deaths Act (RBD) of 1969 in India mandates continuous recording of vital events; however, after more than 50 years of its enactment, universality remains elusive. Birth registration, a fundamental right, is essential for demographic analysis and effective policy planning. Birth registration is closely linked to child development, access to healthcare, and other societal factors. Analysing its trends helps in designing targeted interventions and monitoring progress toward the Sustainable Development Goals (SDGs). Objectives: This paper aims to analyse the changes in birth registration across Indian states. This paper also examines the impact of institutionalization of births on registration and underscores its significance in policymaking. Methods: The study utilises data from the latest two rounds of National Family Health Survey (NFHS-4 & NFHS-5) to analyse birth registration trends in India. Multivariable logistic regression analysis was employed to examine the impact of place of delivery on birth registration. Findings: The comparison of NFHS-4 and NFHS-5 data demonstrates varying birth registration rates across Indian states, with notable progress in some regions and persistent challenges in others. Multivariable logistic regression analysis highlights the significant influence of place of delivery on registration likelihood. The interaction between wealth and place of delivery suggests a mitigating effect, indicating that increasing institutional births has a positive impact on birth registration, with this effect being more pronounced at different levels of household wealth. It highlights that wealthier households were more likely to register births due to the higher rate of institutional deliveries. Conclusion: India's journey towards universal birth registration under the SDGs presents progress and challenges. NFHS data shows improvements in birth registration, but disparities still persist. Socio-economic status, place of delivery, and maternal education have strong influences on birth registration. Institutional deliveries significantly increase registration likelihood, facilitated by programs like Janani Suraksha Yojana. Integrating birth registration with health services enhances health data accuracy and service delivery. By prioritising targeted interventions, addressing social barriers, and leveraging existing programs, India can ensure that every child's birth is registered, advancing towards a healthier, more equitable future.

Coverage, Trends, and Inequalities of Maternal, Newborn, and Child Health Indicators among the Poor and Non-Poor in the Most Populous Cities from 38 Sub-Saharan African Countries.

Rapid urbanization is likely to be associated with suboptimal access to essential health services. This is especially true in cities from sub-Saharan Africa (SSA), where urbanization is outpacing improvements in infrastructure. We assessed the current situation in regard to several markers of maternal, newborn, and child health, including indicators of coverage of health interventions (demand for family planning satisfied with modern methods, at least four antenatal care visits (ANC4+), institutional birth, and three doses of DPT vaccine[diphtheria, pertussis and tetanus]) and health status (stunting in children under 5 years, neonatal and under-5 mortality rates) among the poor and non-poor in the most populous cities from 38 SSA countries. We analyzed 136 population-based surveys (year range 2000-2019), contrasting the poorest 40% of households (referred to as poor) with the richest 60% (non-poor). Coverage in the most recent survey was higher for the city non-poor compared to the poor for all interventions in virtually all cities, with the largest median gap observed for ANC4+ (13.5 percentage points higher for the non-poor). Stunting, neonatal, and under-5 mortality rates were higher among the poor (7.6 percentage points, 21.2 and 10.3 deaths per 1000 live births, respectively). The gaps in coverage between the two groups were reducing, except for ANC4, with similar median average annual rate of change in both groups. Similar rates of change were also observed for stunting and the mortality indicators. Continuation of these positive trends is needed to eliminate inequalities in essential health services and child survival in SSA cities.

Undernutrition among children and its determinants across the parliamentary constituencies of India: a geospatial analysis.

In India, undernutrition among children has been extremely critical for the last few decades. Most analyses of undernutrition among Indian children have used the administrative boundaries of a state or a district level as a unit of analysis. This paper departs from such a practice and focuses instead on the political boundaries of a parliamentary constituency (PC) as the unit of analysis. The PC is a critical geopolitical unit where political parties and party candidates make election promises and implement programmes to improve the socio-economic condition of their electorate. A focus on child undernutrition at this level has the potential for greater policy and political traction and could lead to a paradigm shift in the strategy to tackle the problem by creating a demand for political accountability. Different dimensions and new approaches are also required to evaluate the socio-economic status and generate concrete evidence to find solutions to the problem. Given the significance of advanced analytical methods and models embedded into geographic information system (GIS), the current study, for the first time, uses GIS tools and techniques at the PC level, conducting in-depth analysis of undernutrition and its predictors. Hence, this paper examines the spatial heterogeneity in undernutrition across PCs by using geospatial techniques such as univariate and bivariate local indicator of spatial association and spatial regression models. The analysis highlights the high-low burden areas in terms of local hotspots and identifies the potential spatial risk factors of undernutrition across the constituencies. Striking variations in the prevalence of undernutrition across the constituencies were observed. Most of these constituencies that performed poorly both in terms of child nutrition and socio-economic indicators were located in the northern, western, and eastern parts of India. A statistically significant association of biological, socio-economic, and environmental factors such as women's body mass index, anaemia in children, poverty, household sanitation facilities, and institutional births was established. The results highlight the need to bring in a mechanism of political accountability that directly connects elected representatives to maternal and child health outcomes. The spatial variability and pattern of undernutrition indicators and their correlates indicate that priority setting in research may also be greatly influenced by the neighbourhood association.

Assessment of Place of Delivery and Associated Factors among Pastoralists in Ethiopia: A Systematic Review and Meta-Analysis Evaluation.

Pastoralist communities rely on their livestock for at least 50% of their food supply and source of income. Home births raise the risk of maternal morbidity and death, whereas institutional births lessen the likelihood of difficulties during labor. Around 70% of labors in pastoralist regions of Ethiopia were assisted by traditional birth attendants. Studies done from January 2004 to January 2023, accessed in PubMed, EMBASE, Medline, and other search engines, were included. PRISMA guidelines and JBI critical appraisal checklist were used to assure the quality of the review. Ten articles were included in this review. Data were extracted with Excel and exported to STATA 16 for analysis. Heterogeneity of literatures was evaluated using I2 statistics and publication bias using the Egger regression asymmetry test and the Duval and Tweedie trim-fill analysis. Statistical significance was declared at p value less than 0.05. The pooled estimate of institutional delivery among the pastoralist community in Ethiopia is 21.2% (95% CI: 16.2-26.1). Husbands who were involved to decide place of delivery (OR = 3.47; 95% CI: 1.61, 7.50), women with good knowledge of MCH services (OR = 2.283; 95% CI: 1.51, 3.44), women who had a positive attitude towards MCH services (OR = 1.69; 95% CI: 0.79, 3.6), availability of health institutions (OR = 2.6; 95% CI: 0.95, 7.20), and women who had an ANC follow-up (OR = 2.78; 95% CI: 2.07, 3.73) were higher institutional delivery prevalence among pastoralist women. Moreover, institutional delivery among women who were educated above the college level was more than two times (OR = 2.56; 95% CI: 1.985, 3.304) higher than among women who were not educated. Pastoralist women in Ethiopia were found to be a disadvantaged group for institutional delivery at national level. Husband involvement, educational level, ANC visit, knowledge and attitude for MCH service, and health facility distance were identified to have significant association with institutional delivery.

Data completeness and consistency in individual medical records of institutional births: retrospective crossectional study from Northwest Ethiopia, 2022

BackgroundEnsuring the data quality of Individual Medical Records becomes a crucial strategy in mitigating maternal and newborn morbidity and mortality during and around childbirth. However, previous research in Ethiopia primarily focused on studying data quality of institutional birth at the facility level, overlooking the data quality within Individual Medical Records. This study examined the data completeness and consistency within Individual Medical Records of the institutional birth service and associated factors.MethodsAn institution-based retrospective cross-sectional study was conducted in two districts of Northwest Ethiopia. Data were obtained by reviewing three sets of Individual Medical Records of 651 women: the delivery register, Integrated Individual Folder, and integrated card. The proportions of completeness and consistency were computed. A multilevel binary logistic regression was used to identify factors of completeness and consistency. An odds ratio with a 95% confidence interval was used to assess the level of significance.ResultsOverall, 74.0% of women’s Individual Medical Records demonstrated good data completeness ( > = 70%), 95%CI (70.5, 77.3), while 26% exhibited good consistency, 95%CI (22.9, 29.7). The presence of trained providers in data quality (AOR = 2.9, 95%CI: (1.5, 5.7)) and supportive supervision (AOR = 11.5, 95%CI: (4.8, 27.2)) were found to be associated with completeness. Health facilities’ practice of root cause analysis on data quality gaps (AOR = 8.7, 9%CI: (1.5, 50.9)) was statistically significantly associated with the consistency.ConclusionsMost medical records were found to have good completeness, but nearly only a quarter of them found to contain consistent data. Completeness and consistency varied on the type of medical record. Health facility’s root cause analysis of data quality gaps, the presence of trained providers in data quality, and supportive supervision from higher officials were identified as factors affecting data quality in institutional birth service. These results emphasize the importance of focused efforts to enhance data completeness and consistency within Individual Medical Records, particularly through consideration of Individual Medical Records in future provider training, supervision, and the implementation of root cause analysis practices.

Quality of reporting and trends of emergency obstetric and neonatal care indicators: an analysis from Tanzania district health information system data between 2016 and 2020

BackgroundRoutine health facility data provides the opportunity to monitor progress in quality and uptake of health care continuously. Our study aimed to assess the reliability and usefulness of emergency obstetric care data including temporal and regional variations over the past five years in Tanzania Mainland.MethodsData were compiled from the routine monthly district reports compiled as part of the health management information systems for 2016–2020. Key indicators for maternal and neonatal care coverage, emergency obstetric and neonatal complications, and interventions indicators were computed. Assessment on reliability and consistency of reports was conducted and compared with annual rates and proportions over time, across the 26 regions in of Tanzania Mainland and by institutional delivery coverage.ResultsFacility reporting was near complete with 98% in 2018–2020. Estimated population coverage of institutional births increased by 10% points from 71.2% to 2016 to 81.7% in 2020 in Tanzania Mainland, driven by increased use of dispensaries and health centres compared to hospitals. This trend was more pronounced in regions with lower institutional birth rates. The Caesarean section rate remained stable at around 10% of institutional births. Trends in the occurrence of complications such as antepartum haemorrhage, premature rupture of membranes, pre-eclampsia, eclampsia or post-partum bleeding were consistent over time but at low levels (1% of institutional births). Prophylactic uterotonics were provided to nearly all births while curative uterotonics were reported to be used in less than 10% of post-partum bleeding and retained placenta cases.ConclusionOur results show a mixed picture in terms of usefulness of the District Health Information System(DHIS2) data. Key indicators of institutional delivery and Caesarean section rates were plausible and provide useful information on regional disparities and trends. However, obstetric complications and several interventions were underreported thus diminishing the usefulness of these data for monitoring. Further research is needed on why complications and interventions to address them are not documented reliably.

Epidemiology of emergency and elective caesarean section and its association with early neonatal mortality in sub-Saharan African countries

IntroductionInvestigating elective and emergency caesarean section (CS) separately is important for a better understanding of birth delivery modes in the sub-Saharan Africa (SSA) region and identifying bottlenecks that prevent favourable...

Regional with urban–rural variation in low birth weight and its determinants of Indian children: findings from National Family Health Survey 5 data

BackgroundLow birth weight is a key indicator for child health, especially a concern in low-middle-income countries. However, health and medically-related reforms are being actively implemented in some middle-income countries like India. Identifying low birth weight (LBW) babies with their determinants across the whole country is essential to formulate regional and area-specific interventions. The objective of this study was to find out the burden and determinants of LBW on the regional and residential (rural–urban) divisions of India.MethodsThe present study was based on the NFHS-5 dataset (2019–21), a nationally representative survey in India. A total of 209,223 births were included in this study. A newborn weighing less than 2500 g was considered as LBW. According to the objectives, we used frequency distribution, chi-square test and binary logistic regression analysis for analysing the data.ResultsAbout 18.24% of the babies were LBW in India, significantly higher in rural areas than in urban areas (18.58% vs 17.36%). Regionally prevalence was more frequent in western (20.63%) and central (20.16%) rural areas. Regarding maternal concerns, in the eastern and southern regions of India, mothers aged 25–34 were less likely to have LBW children than mothers aged 35–49 years. It was found that the risk of LBW was more likely among the children born out of unintended pregnancies in almost all regions except for eastern part. In rural India, women who delivered children at home were more likely to have LBW children in India (AOR = 1.19, CI: 1.12–1.28, p < 0.001) and its central, northern, and southern regions than those who gave birth in institutions. The study indicates that LBW coexists with lower maternal education levels and poor household wealth index across all regions. About 58% and 57% of cumulative effects of independent variables on LBW can be distinguished in urban and rural India, respectively.ConclusionsTargeted-specific strategies need to be undertaken as per region and geographical variations. Then only India should be able to decline LBW as proposed by National Health Policy.

Identifying predictive factors and developing evidence-based guidelines for promoting respectful maternal and newborn care: a mixed method multiphase study design

Background: Mistreatment of women during pregnancy and childbirth by healthcare workers is a common issue in both private and public sector health facilities in India. Improving the quality of maternity care in these sectors is crucial for promoting institutional births and ensuring positive birth experiences. This study aims to develop guidelines for respectful maternity care (RMC) in India through a multiphase quantitative and qualitative study. Methods: The study will utilize a mixed methods multiphase design, which involves collecting, analyzing, and integrating both quantitative and qualitative data. This approach follows the principles of pragmatism paradigm, where the integration of different approaches enhances understanding. The quantitative data will be used to expand and explain the qualitative data collected in the first phase. The integration of both types of data will contribute to the development of new RMC guidelines. Conclusions: This study is the first of its kind in India to develop comprehensive RMC guidelines based on a multiphase study. By exploring the experiences of Indian women regarding disrespect and abuse (D&amp;A) during childbirth and its determinants, the study will provide valuable insights for guideline development. The integration of quantitative and qualitative approaches in the mixed method design will address potential limitations and provide a more comprehensive understanding of the subject.

Utilization and factors associated with health facility delivery among women of reproductive age in rural Ethiopia: Mixed effect logistic regression analysis.

Worldwide over 800 women lose their life each day from complication in pregnancy and child birth. Health facility delivery is one of the key strategies for reducing maternal mortality and for ensuring safe birth. Inequity by urban-rural residence is one of the most pronounced challenges in maternal health service coverage with women living in rural areas at a greater disadvantage than other women. This study aims to assess the magnitude and factors affecting the utilization of health facility delivery for the most recent live birth among women of reproductive age in rural Ethiopia. This is a cross-sectional study based on a data from Ethiopian Mini Demographic and Health Survey 2019 dataset with a total weighted sample of 2900 women of reproductive age group in rural Ethiopia. Data cleaning, coding and labeling were done using STATA version 14 software. Multilevel mixed effect logistic regression model was employed to identify associated factors. Only 44% of reproductive-age women in rural Ethiopia gave their most recent live birth in health institutions. In the multivariable multilevel binary logistic regression analysis; educational status, wealth index, attending 4+ANC, and had ANC from skilled provider were found to be statistically significant factors associated with health facility delivery. In a rural part of Ethiopia, the prevalence of institutional delivery is low. Especial emphasis should be given for mothers with no formal education, and poor household wealth index, Furthermore, implementing public health programs that target to enable women to have more frequent Antenatal Care follow-up from skilled providers may increase the number of health facility deliveries.

Maternal mortality, stillbirths, and neonatal mortality: a transition model based on analyses of 151 countries

Maternal mortality, stillbirths, and neonatal mortality account for almost 5 million deaths a year and are often analysed separately, despite having overlapping causes and interventions. We propose a comprehensive five-phase mortality transition model to improve analyses of progress and inform strategic planning. In this empirical data-driven study to develop a model transition, we used UN estimates for 151 countries to assess changes in maternal mortality, stillbirths, and neonatal deaths. On the basis of ratios of maternal to stillbirth and neonatal mortality, we identified five phases of transition, in which phase 1 has the highest mortality and phase 5 has the lowest. We used global databases to examine phase-specific characteristics during 2000-20 for causes of death, fertility rates, abortion policies, health workforce and financing, and socioeconomic indicators. We analysed 326 national surveys to assess service coverage and inequalities by transition phase. Among 116 countries in phases 1 to 4 in 2000, 73 (63%) progressed at least one phase by 2020, six advanced two phases, and three regressed. The ratio of stillbirth and neonatal deaths to maternal deaths increased from less than 10 in phase 1 to well over 50 in phase 4 and phase 5. Progression was associated with a declining proportion of deaths caused by infectious diseases and peripartum complications, declining total and adolescent fertility rates, changes in health-workforce densities and skills mix (ie, ratio of nurses or midwives to physicians) from phase 3 onwards, increasing per-capita health spending, and reducing shares of out-of-pocket health expenditures. From phase 1 to 5, the median coverage of first antenatal care visits increased from 66% to 98%, four or more antenatal care visits from 44% to 94%, institutional births from 36% to 99%, and caesarean section rates from 2% to 25%. The transition out of high-mortality phases involved a major increase in institutional births, primarily in lower-level health facilities, whereas subsequent progress was characterised by rapid increases in hospital births. Wealth-related inequalities reduced strongly for institutional birth coverage from phase 3 onwards. The five-phase maternal mortality, stillbirth, and neonatal mortality transition model can be used to benchmark the current indicators in comparison to typical patterns in the transition at national or sub-national level, identify outliers to better assess drivers of progress, and inform strategic planning and investments towards Sustainable Development Goal targets. It can also facilitate programming for integrated strategies to end preventable maternal mortality and neonatal mortality and stillbirths. Bill & Melinda Gates Foundation.