Dataset Information

Using Household Socioeconomic Indicators to Predict the Utilization of Maternal and Child Health Services Among Reproductive-Aged Women in Rural Yemen.

ABSTRACT: 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.

SUBMITTER: Alosaimi AN

PROVIDER: S-EPMC6686312 | biostudies-literature | 2019

REPOSITORIES: biostudies-literature

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Using Household Socioeconomic Indicators to Predict the Utilization of Maternal and Child Health Services Among Reproductive-Aged Women in Rural Yemen.

Alosaimi Abdullah Nagi AN Nwaru Bright B Luoto Riitta R Al Serouri Abdul Wahed AW Mouniri Halima H

Global pediatric health 20190806

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 sub ...[more]

PMID: 31431905

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Project description:Little is known about the COVID-19 pandemic-related disruptions in health services and the resilience of the health system response in rural low-resource settings. We conducted a phenomenological qualitative study (October-November 2020) to understand COVID-19-related influences on the utilization and delivery of child health services in Monapo district, rural Mozambique. We interviewed 36 caregivers with children <2.5 years, 21 health providers and 4 district health services staff using in-person in-depth interviews. Data were analysed using inductive thematic content analysis. Our findings showed that caregivers, providers and district health services staff unanimously reported a decrease in child consultations at the start of the pandemic. Administrative data from health facilities confirmed persisting declines in monthly consultations. Respondents explained reductions due to miscommunication about health facility operations, fear of COVID-19, reduced consultation schedules and reduced household incomes. Providers reported several challenges in delivering services including lack of caregiver compliance with risk mitigation measures, caregivers' fear of risk mitigation measures, perceived lack of caregiver knowledge about COVID-19 and lack of supplies and protective equipment. All respondents described how COVID-19 had increased food insecurity and food prices and reduced incomes and livelihoods. These negative economic consequences were perceived as the main reason for reported increases in cases of child malnutrition. Despite reductions, child health service utilization and delivery have largely continued throughout the COVID-19 pandemic, indicating an adaptive and resilient primary health system response in Monapo district. Our findings highlighted the persistent difficulties providers and caregivers face adhering to COVID-19 prevention and risk mitigation measures. A coordinated multi-sectoral response is needed to address the persistent negative economic impacts of the pandemic for young children and their families in rural areas.

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Project description:BackgroundVarious countries in the world have achieved promising progress in promoting, protecting and guaranteeing sexual and reproductive health rights (SRHRs) since the 1994 International Conference on Population and Development (ICPD) in Cairo. However, SRHRs have not been recognized to their maximum potential in Ethiopia, despite the domestication of the international instruments related to their successful implementation. This study was intended to determine the magnitude of SRHRs knowledge, reproductive health services utilization and their independent predictors among rural reproductive-age women in the Aleta Wondo District, Ethiopia.MethodsA community-based cross-sectional study was conducted among 833 rural reproductive-age women from April to May 2019. A systematic random sampling technique was employed to select households, and a structured questionnaire was used to gather the data. EPI INFO version 7 was used to enter the data, and SPSS version 23 was used for data analysis. Logistic regression analysis was employed to assess the association between outcomes and explanatory variables. Odds ratios at 95% CI were also computed and reported.ResultsOf 833 respondents, 43.9% had good knowledge of SRHR, and 37% had used at least one sexual and reproductive health (SRH) service. Variables that had a statistically significant association with SRHR knowledge in multivariable analysis were: had formal education, household with the highest income, having information sources for SRH services, and knowing about SRH services and providing institutions. SRH services utilization was associated with: having information sources for SRH services, had formal education, household with the highest income, and knowing about SRH services and providing institutions.ConclusionIn this study demographic and economic factors, such as education and household monthly income were positively identified as independent predictors for knowledge of SRHR and SRH services utilization. Therefore, responsible government sectors and NGOs should design and implement programs to promote women's educational status and household economic status to enhance women's SRHR knowledge and SRH services utilization.

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Dataset Information

Using Household Socioeconomic Indicators to Predict the Utilization of Maternal and Child Health Services Among Reproductive-Aged Women in Rural Yemen.

Publications

Using Household Socioeconomic Indicators to Predict the Utilization of Maternal and Child Health Services Among Reproductive-Aged Women in Rural Yemen.

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