Maternal health in poor countries: The broader context and a call for action. Lancet, 368, 1535-1541

Obstetrics and Gynaecology, University of Aberdeen, Aberdeen, Scotland, United Kingdom
The Lancet (Impact Factor: 45.22). 11/2006; 368(9546):1535-41. DOI: 10.1016/S0140-6736(06)69384-7
Source: PubMed


In this paper, we take a broad perspective on maternal health and place it in its wider context. We draw attention to the economic and social vulnerability of pregnant women, and stress the importance of concomitant broader strategies, including poverty reduction and women's empowerment. We also consider outcomes beyond mortality, in particular, near-misses and long-term sequelae, and the implications of the close association between the mother, the fetus, and the child. We make links to a range of global survival initiatives, particularly neonatal health, HIV, and malaria, and to reproductive health. Finally, after examining the political and financial context, we call for action. The need for strategic vision, financial resources, human resources, and information are discussed.

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Available from: Oona Campbell, Feb 24, 2014
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    • "Complete and timely information is essential to inform public health decision-making and improve health service delivery, including for maternal and child health [1] [2]. Data quality in resource-constrained setting is often compromised by incomplete data and untimely reporting, however, and local health information systems may be the only data sources available for the continuous, routine monitoring [3] [4]. Few studies have assessed data quality and completeness for maternal and child health. "
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    ABSTRACT: Background: Complete and timely health information is essential to inform public health decision-making for maternal and child health, but is often lacking in resource-constrained settings. Electronic medical record (EMR) systems are increasingly being adopted to support the delivery of health care, and are particularly amenable to maternal and child health services. An EMR system could enable the mother and child to be tracked and monitored throughout maternity shared care, improve quality and completeness of data collected and enhance sharing of health information between outpatient clinic and the hospital, and between clinical and public health services to inform decision-making. Methods: This study implemented a novel cloud-based electronic medical record system in a maternal and child health outpatient setting in Western Kenya between April and June 2013 and evaluated its impact on improving completeness of data collected by clinical and public health services. The impact of the system was assessed using a two-sample test of proportions pre- and post-implementation of EMR-based data verification. Results: Significant improvements in completeness of the antenatal record were recorded through implementation of EMR-based data verification. A difference of 42.9% in missing data (including screening for hypertension, tuberculosis, malaria, HIV status or ART status of HIV positive women) was recorded pre- and post-implementation. Despite significant impact of EMR-based data verification on data completeness, overall screening rates in antenatal care were low. Conclusion: This study has shown that EMR-based data verification can improve the completeness of data collected in the patient record for maternal and child health. A number of issues, including data management and patient confidentiality, must be considered but significant improvements in data quality are recorded through implementation of this EMR model.
    International Journal of Medical Informatics 01/2015; 84(5). DOI:10.1016/j.ijmedinf.2015.01.005 · 2.00 Impact Factor
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    • "right tools to make proper health care decisions, but also with skills that enhance their future financial independence, thereby elevating their status in the communities where they live [38] [39]. "
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    ABSTRACT: Background: Early booking of antenatal care (ANC) is regarded as a cornerstone of maternal and neonatal health care. However, existing evidence from developing countries indicate that lots of pregnant woman begin ANC booking lately. Objective. It was aimed to assess timing of ANC booking and associated factors among pregnant women attending ANC clinic at University of Gondar Hospital, 2013. Methods: An institution based cross-sectional study design was used to collect data with a face-to-face interview technique. Bivariate and multivariate analysis was used to identify associated factors for early ANC visit using SPSS version 20. Results: From total women (N = 369) interviewed, 47.4% were timely booked. Mothers with younger age (AOR = 3.83, 95% CI: 1.89, 10.53), formal education (AOR = 1.06, 95% CI: 1.03, -7.61), previous early ANC visit (AOR = 2.39, 95% CI: 2.23, 9.86), and perceived ANC visit per pregnancy of four and greater were significantly associated with early ANC visit. Conclusions: Although late booking is a problem in this study, previous early utilization of ANC visit favors current timely booking. This indicates that the importance of early booking was appropriately addressed from previous visits. Counseling of timely booking during ANC visit should be strengthened. Moreover, empowering through education is also recommended.
    Journal of pregnancy 07/2014; 2014:132494. DOI:10.1155/2014/132494
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    • "A recent review of such strategies [15] included as a centerpiece health-center-based deliveries for all women. It, along with a companion study [16], emphasized the need for political and financial commitment at the district level to achieve this goal—a commitment they felt was lacking. Gabrysch et al. [17] analyzed health system output indicators in high mortality and low mortality countries, and concluded that these need to be revised and contextualized. "
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    ABSTRACT: Background Maternal health service coverage in Kenya remains low, especially in rural areas where 63% of women deliver at home, mainly because health facilities are too far away and/or they lack transport. The objectives of the present study were to (1) determine the association between the place of delivery and the distance of a household from the nearest health facility and (2) study the demographic characteristics of households with a delivery within a demographic surveillance system (DSS). Methods Census sampling was conducted for 13,333 households in the Webuye health and demographic surveillance system area in 2008–2009. Information was collected on deliveries that had occurred during the previous 12 months. Digital coordinates of households and sentinel locations such as health facilities were collected. Data were analyzed using STATA version 11. The Euclidean distance from households to health facilities was calculated using WinGRASS version 6.4. Hotspot analysis was conducted in ArcGIS to detect clustering of delivery facilities. Unadjusted and adjusted odds ratios were estimated using logistic regression models. P-values less than 0.05 were considered significant. Results Of the 13,333 households in the study area, 3255 (24%) reported a birth, with 77% of deliveries being at home. The percentage of home deliveries increased from 30% to 80% of women living within 2km from a health facility. Beyond 2km, distance had no effect on place of delivery (OR 1.29, CI 1.06–1.57, p = 0.011). Heads of households where women delivered at home were less likely to be employed (OR 0.598, CI 0.43–0.82, p = 0.002), and were less likely to have secondary education (OR 0.50, CI 0.41–0.61, p < 0.0001). Hotspot analysis showed households having facility deliveries were clustered around facilities offering comprehensive emergency obstetric care services. Conclusion Households where the nearest facility was offering emergency obstetric care were more likely to have a facility delivery, but only if the facility was within 2km of the home. Beyond the 2-km threshold, households were equally as likely to have home and facility deliveries. There is need for further research on other factors that affect the choice of place of delivery, and their relationships with maternal mortality.
    BMC Health Services Research 05/2014; 14(1):212. DOI:10.1186/1472-6963-14-212 · 1.71 Impact Factor
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