BackgroundIndonesia has shown a nominal increase in antenatal care (ANC) coverage from 93% to 96% in the Indonesia Demographic Health Survey (IDHS)—2012. This is high but for a comprehensive assessment of maternal health coverage in Indonesia, safe delivery services need to be assessed in conjunction with ANC coverage.Materials and methodsThe study uses survey data from the IDHS-2012 that was conducted among women aged 15–49 years who gave birth during the past 3 years preceding the survey. Socioeconomic and demographic factors affecting ANC coverage and safe delivery services are analysed by segregating the data into 7 regions of Indonesia.ResultsMultivariate results show that besides wealth and education differentials, regional differences significantly affect the usage of ANC and safe delivery services across the 7 regions. Univariate analyses show that Sulawesi, Maluku and Western New Guinea islands are at a disadvantage in accessing ANC and safe delivery services.ConclusionsThe study recommends that disaggregated regional targets be set in order to further reduce maternal mortality rates in Indonesia.

US consistently underestimates aortic size when compared with CT, with ITI demonstrating the greatest underestimation (on average 5 mm). In the UK, this underestimation by the NHS Abdominal Aortic Aneurysm screening programme reduces the sensitivity of the screening test and may impact on the way in which vascular specialists interpret the findings of the screening programme.

Objectives. Anemia is a major public health problem throughout the world which assumes prominence in pregnant mothers. Patients with severe anemia continue to present themselves at term or in labor. This study was conducted to compare the improvements in hematological parameters of patients receiving partial exchange blood transfusion and transfusion of packed cells without exchange. Methods. One hundred and twenty-five severely anemic antenatal mothers were admitted from outpatient service. Partial exchange transfusion was given to sixty-six patients while fifty-nine received transfusion of packed cells with frusemide cover. Results. The two groups were comparable in terms of age, height, weight, religion, diet, education, occupation of self and husband, and income. Hemoglobin level in Group 1 was comparatively less than Group 2 at prelevel (5.2 ± 1.5 versus 6.6 ± 2.3, P = 0.001) and postlevel (7.2 ± 1.5 versus 8.6 ± 1.8, P = 0.001), respectively, but there was no significant difference between the two modes of transfusion (2.09 ± 1.6 versus 2.01 ± 1.5, P = 0.78). Conclusion. The study produced an equally significant improvement in hematological parameters in partial exchange and packed cell transfusion. Platelet counts were significantly less in partial exchange as compared with packed cell transfusion.

The objective of the study is to assess maternal factors contributing to under-five mortality at birth order 1 to 5 in India. Data for this study was derived from the children’s record of the 2007 India National Family Health Survey, which is a nationally representative cross-sectional household survey. Data is segregated according to birth order 1 to 5 to assess mother’s occupation, Mother’s education, child’s gender, Mother’s age, place of residence, wealth index, mother’s anaemia level, prenatal care, assistance at delivery , antenatal care, place of delivery and other maternal factors contributing to under-five mortality. Out of total 51555 births, analysis is restricted to 16567 children of first birth order, 14409 of second birth order, 8318 of third birth order, 5021 of fourth birth order and 3034 of fifth birth order covering 92% of the total births taken place 0–59 months prior to survey. Mother’s average age in years for birth orders 1 to 5 are 23.7, 25.8, 27.4, 29 and 31 years, respectively. Most mothers whose children died are Hindu, with no formal education, severely anaemic and working in the agricultural sector. In multivariate logistic models, maternal education, wealth index and breastfeeding are protective factors across all birth orders. In birth order model 1 and 2, mother’s occupation is a significant risk factor. In birth order models 2 to 5, previous birth interval of lesser than 24 months is a risk factor. Child’s gender is a risk factor in birth order 1 and 5. Information regarding complications in pregnancy and prenatal care act as protective factors in birth order 1, place of delivery and immunization in birth order 2, and child size at birth in birth order 4. Prediction models demonstrate high discrimination that indicates that our models fit the data. The study has policy implications such as enhancing the Information, Education and Communication network for mothers, especially at higher birth orders, in order to reduce under-five mortality. The study emphasises the need of developing interventions to address the issues of anaemia, mothers working in the agricultural sector and improving relevant literacy among mothers.

Background. India accounts for 24% to all under-five mortality in the world. Residence in rural area, poverty and low levels of mother’s education are known confounders of under-five mortality. Since two-thirds of India’s population lives in rural areas, mothers employed in agriculture present a particularly vulnerable population in the Indian context and it is imperative that concerns of this sizeable population are addressed in order to achieve MDG4 targets of reducing U5MR to fewer than 41 per 1,000 by 2015. This study was conducted to examine factors associated with under-five mortality among mothers employed in agriculture.Methods. Data was retrieved from National Family Household Survey-3 in India (2008). The study population is comprised of a national representative sample of single children aged 0 to 59 months and born to mothers aged 15 to 49 years employed in agriculture from all 29 states of India. Univariate and Multivariate Cox PH regression analysis was used to analyse the Hazard Rates of mortality. The predictive power of child mortality among mothers employed in agriculture was assessed by calculating the area under the receiver operating characteristic (ROC) curve.Results. An increase in mothers’ ages corresponds with a decrease in child mortality. Breastfeeding reduces child mortality by 70% (HR 0.30, 0.25–0.35, p = 0.001). Standard of Living reduces child mortality by 32% with high standard of living (HR 0.68, 0.52–0.89, 0.001) in comparison to low standard of living. Prenatal care (HR 0.40, 0.34–0.48, p = 0.001) and breastfeeding health nutrition education (HR 0.45, 0.31–0.66, p = 0.001) are associated significant factors for child mortality. Birth Order five is a risk factor for mortality (HR 1.49, 1.05–2.10, p = 0.04) in comparison to Birth Order one among women engaged in agriculture while the household size (6–10 members and ≥ 11 members) is significant in reducing child mortality in comparison to ≤5 members in the house. Under-five mortality among mothers employed in agriculture in India discriminated well between death and survival (Area Under ROC was 0.75, 95% CI [0.73–0.77]) indicating that the model is good for appropriate prediction of child mortality.Conclusion. In a nationally representative sample of households in India, mother’s age, breastfeeding, standard of living, prenatal care and breastfeeding health nutrition education are associated with reduction in child mortality.