Multiple Indicator Cluster Survey 2006: Monitoring the Situation of Children and Women. Yemen (original) (raw)
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Yemen National Health and Demographic Survey 2013.
Yemen National Health and Demographic Survey 2013, 2015
This report presents results from the 2013 Yemen National Health and Demographic Survey (2013 YNHDS). The survey provides information on chronic illness, disability, marriage, fertility and fertility preferences, knowledge and use of family planning methods, child feeding practices, nutritional status of women and children, maternal and childhood mortality, awareness and attitudes regarding HIV/AIDS, female genital cutting, and domestic violence. This information is intended to assist policymakers and program managers in evaluating and designing programs and strategies for improving health and family planning services in the country.
Key Findings: Yemen National Health and Demographic Survey 2013
Key Findings: Yemen National Health and Demographic Survey 2013, 2015
The 2013 Yemen National Health and Demographic Survey (YNHDS) is designed to provide data for monitoring the population and health situation in Yemen. The 2013 survey is the fourth survey of its kind, and the second survey conducted as part of The DHS Program. The survey provides information on chronic illness, disability, marriage, fertility and fertility preferences, knowledge and use of family planning methods, child feeding practices, nutritional status of women and children, maternal and childhood mortality, awareness and attitudes regarding HIV/AIDS, female genital cutting, and domestic violence. This information is intended to assist policymakers and program managers in evaluating and designing programs and strategies for improving health and family planning services in the country.
2018
Introduction The conflict affected Yemen has globally one of the poorest maternal health (MH) indicators. Although there was progression to achieve the fifth Millennium Development Goal since 2013, but the indicators have been regressed with the maternal health services (MHS) underutilization after escalation of the crises. Health system fragmentation, and maldistribution of facilities and staff between urban and rural areas; with the political, socio- economic, as well as socio-cultural factors have affected the supply and demand factors influencing MHS utilization in Yemen. Objective To analyze the factors influencing utilization of MHS in Yemen to inform humanitarian and development actors for improving MHS utilization. Methodology A literature review study with simple qualitative analysis of the available secondary data. ReBUILD framework was used. Results Poverty, educational level, health awareness, transportation, and changing household structure were found as main factors influencing demand for MHS. Reduced quality and capacity for services delivery, health services and staff availability, and financing challenges were found as main factors influencing supply for MHS. Review the evidence informed responses from similar conflict countries might improve MHS utilization in Yemen through three thematic areas: institutions, health workers, and communities. Discussion Conflict situation, socio-economic status, socio-cultural and health system factors caused MHS underutilization in Yemen. The two ministries of health and non-governmental organizations which are in the lead of improving MHS in Yemen should adapt current policies of MH, health workers deployment, empower and educate women, health system assessment to improve health system quality, and introduction of safe motherhood community-based programs. Key words: Maternal health, utilization determinants, Yemen.
SAGE , 2019
Using principal component analysis (PCA) and integrating both individual and household factors, we had previously derived and proposed 3 socioeconomic indices (namely, wealth index, educational index, and housing quality index) that can be used to classify rural Yemeni women into different socioeconomic statuses (SES). In the current article, we examined whether the PCA-derived indices can be used to predict the use of maternal and child health care services in rural Yemen. We used data from subnational representative multistage sampling cross-sectional household survey conducted in rural Yemen in 2008-2009 among women (N = 6907) who had given birth. The resulting component scores for each SES index were divided into tertiles. Logistic regression was used to study the associations between the SES indices and 4 indicators of maternal health care use. Higher tertiles of each socioeconomic index increased the likelihood of adequate antenatal care use, delivery assistance, and contraceptive use, but decreased the likelihood of unmet need for contraception. Key maternal health indicators can be determined by socioeconomic indicators. Therefore, in planning maternal and child health interventions, considering disparities of care by socioeconomic factors should be taken into account.
2016
Background Reliable measurement of socioeconomic status (SES) in health research requires extensive resources and can be challenging in low-income countries. We aimed to develop a set of maternal SES indices and investigate their associations with maternal and child health outcomes in rural Yemen. Methods We applied factor analysis based on principal component analysis extraction to construct the SES indices by capturing household attributes for 7295 women of reproductive age. Data were collected from a sub-national household survey conducted in six rural districts in four Yemeni provinces in 2008–2009. Logistic regression models were fitted to estimate the associations between the SES indices and maternal mortality, spontaneous abortion, stillbirth, neonatal and infant mortality. Results Three SES indices (wealth, educational and housing quality) were extracted, which together explained 54 % of the total variation in SES. Factor scores were derived and categorized into tertiles. After adjusting for potential confounding factors, higher tertiles of all the indices were inversely associated with spontaneous abortion. Higher tertiles of wealth and educational indices were inversely associated with stillbirth, neonatal and infant mortality. None of the SES indices was strongly associated with maternal mortality. Conclusion By subjecting a number of household attributes to factor analysis, we derived three SES indices (wealth, educational, and housing quality) that are useful for maternal and child health research in rural Yemen. The indices were worthwhile in predicting a number of maternal and child health outcomes. In low-income settings, failure to account for the multidimensionality of SES may underestimate the influence of SES on maternal and child health.
Universal Journal of Pharmaceutical Research
Background and aims: Yemen has made notable progress in dropping child mortality over the past four decades. In spite of this, due to political instability and the foreign aggression on the country in the past ten years, the incidence of diseases and deaths escalated. The mortality rate of children under the age of 5 in Yemen is still high compared to many low and middle countries (LMIC). Alternatively, patterns and causes of child morbidity in Yemen have not been well inspected. The aim of this study was to investigate the trend of morbidity and causes of disease among children ≤16 years old in Sana'a city, Yemen from 1978 to 2018 based on data from a single child health center. Subjects and methods: Data was collected from a private children Health Center in Sana'a. Data collection and analysis was performed for 4 months starting from 15/6/2020 and ending on 9/26/2020. The records included clinical and laboratory investigations for children who visited the out-patient clin...