Predictors of Health Care Seeking Behavior During Pregnancy,Delivery, and the Postnatal Period in Rural Tanzania

Objectives Four antenatal visits, delivery in a health facility, and three postnatal visits are the World Health Organization recommendations for women to optimize maternal health outcomes. This study examines maternal compliance with the full recommended maternal health visits in rural Tanzania with the goal of illuminating interventions to reduce inequalities in maternal health. Methods Analysis included 907 women who had given birth within two years preceding a survey of women of reproductive age. Multinomial logistic regression was used to assess the influence of maternal, household, and community-level characteristics on four alternative classes defining relative compliance with optimal configuration of maternal health care seeking behavior. Results Parity, wealth index, timeliness of ANC initiation, nearest health facility type, religion, and district of residence were significant predictors of maternal health care seeking when adjusted for other factors. Multiparous women compared to primiparous were less likely to seek care at the high level [RRR 0.16, 95 % confidence interval (CI) 0.06–0.46], at the mid-level (RRR 0.22, 95 % CI 0.09–0.58), and the mid-low level (RRR 0.27, 95 % CI 0.09–0.80). Women in the highest wealth index compared to those in the poorest group were almost three times more likely to seek the highest two levels of care versus the lowest level (high RRR 2.92, 95 % CI 1.27–6.71, mid-level RRR 2.71, 95 % 1.31–5.62). Conclusion Results suggest that efforts to improve the overall impact of services on the continuum of care in rural Tanzania would derive particular benefit from strategies that improve maternal health coverage among multiparous and low socioeconomic status women.     

Associates of Neonatal,Infant and Child Mortality in the Islamic Republic of Pakistan: A Multilevel Analysis Using the 2012–2013 Demographic and Health Surveys

Objectives Pakistan is one of five nations contributing to half of the world’s child mortality and holds under-five mortality rates which are nearly double global targets. Reasons for this shortfall include civil conflicts, political uncertainty, low education, poverty, rural–urban disparities, and limited health care access. The aim of this study was to explore associations between individual characteristics, community factors, and child mortality in Pakistan. Methods Data were derived from the 2012 to 2013 Pakistan Demographic and Health Survey, and included 7399 live births and 380 child deaths. Multivariate, multilevel logistic regression was used to model risk of neonatal, infant and under-five child deaths. Results Seventy-one percent of child deaths occurred during the neonatal period. Significant factors (p < 0.05) associated with lower odds of child mortality included adhering to recommended minimum of 24 months interpregnancy interval and higher household wealth. These were significant for neonatal (OR 0.448; 0.871), infancy (OR 0.465; 0.881), and under-five deaths (OR 0.465; 0.879). Employed mothers had higher odds of neonatal (OR 1.479), infant (OR 1.506), and child mortality (OR 1.459). Likewise, women living in consanguineous marriages had higher odds of infant (OR 1.454) and under-five deaths (OR 1.381). Children in Balochistan, Punjab, and Sindh, regions disproportionately poor, rural with low levels of education, were at highest risk of dying. Conclusions for Practice Findings may assist in designing targeted interventions, developing appropriate public health messaging, and implementing policies designed to lower child mortality. Focusing on lowering rates of maternal poverty, increasing opportunities for education, and improving access to health care could assist in reducing child mortality in Pakistan.     

Women’s Autonomy and Skilled Attendance During Pregnancy and Delivery in Nepal

Objectives This study aims to explore the association between women’s autonomy and skilled attendance during pregnancy and delivery in Nepal. Methods We adopt data from the Nepal Demographic and Health Survey (NDHS, 2011). We include only married women who gave birth in the 5 years preceding the survey (N = 4148). Women’s autonomy was assessed on the basis of four indicators of decision making: healthcare, visiting friends or relatives, household purchases and spending earned money. Each indicator was dichotomized (yes/no) and then summarized into a single variable to measure overall autonomy. Next, we measured health attendance (skilled vs. unskilled) during antenatal and delivery care. The association between women’s autonomy and skilled attendance was analysed using a logistic regression model. Results Most women had a medium (40 %) and high (35 %) level of overall autonomy. The proportion of women accessing skilled providers during antenatal and delivery care was 51 and 36 %. Women with autonomy in healthcare, visiting friends or relatives, making household purchases and spending money earned were associated with a higher likelihood of receiving care from skilled providers during antenatal care and delivery. An elevated probability of access to skilled attendance during antenatal (aOR 1.33; 95 % CI 1.10–1.59) and delivery care (aOR 1.38; 95 % CI 1.12–1.70) was reported among women with higher levels of overall autonomy. Conclusion Women’s autonomy was significantly associated with the maternal health care utilization by skilled attendants. This study will provide insights for policy makers to develop strategies in improving maternal health.     

Predictors of Poor Pregnancy Outcomes Among Antenatal Care Attendees in Primary Health Care Facilities in Cross River State,Nigeria: A Multilevel Model

Objectives Pregnancy carries a high risk for millions of women and varies by urban–rural location in Nigeria, a country with the second highest maternal deaths in the world. Addressing multilevel predictors of poor pregnancy outcomes among antenatal care (ANC) attendees in primary health care (PHC) facilities could reduce the high maternal mortality rate in Nigeria. This study utilised the “Risk Approach” strategy to (1) compare the risks of poor pregnancy outcomes among ANC attendees by urban–rural location; and (2) determine predictors of poor pregnancy outcomes among ANC attendees in urban–rural PHC facilities in Cross River State, Nigeria. Methods A cross-sectional survey was conducted in 2011 among 400 ANC attendees aged 15–49 years recruited through multistage sampling. Data on risk factors of poor pregnancy outcomes were collected using interviewer-administered questionnaires and clinic records. Respondents were categorised into low, medium or high risk of poor pregnancy outcomes, based on their overall risk scores. Predictors of poor pregnancy outcomes were determined by multilevel ordinal logistic regression. Results A greater proportion of the women in the rural areas were below the middle socio-economic quintile (75 vs. 4 %, p < 0.001), had no education (12 vs. 2 %, p < 0.001), and were in the 15–24 age group (58 vs. 35 %, p < 0.001) whereas women in the urban areas were older than 35 years (10 vs. 5 %, p < 0.001). The women attending antenatal care in the urban PHC facilities had a low overall risk of poor pregnancy outcomes than those in the rural facilities (64 vs. 50 %, p = 0.034). Pregnant women in the urban areas had decreased odds of being at high risk of poor pregnancy outcomes versus the combined medium and low risks compared with those in the rural areas (OR 0.55, 95 % CI 0.09–0.65). Conclusions for Practice Pregnant women attending antenatal care in rural PHC facilities are more at risk of poor pregnancy outcomes than those receiving care in the urban facilities. Health programmes that promote safe pregnancy should target pregnant women in rural settings.     

Examining <Emphasis Type="Italic">Nervios</Emphasis> Among Immigrant Male Farmworkers in the MICASA Study: Sociodemographics,Housing Conditions and Psychosocial Factors

Nervios is a culturally defined condition of psychological stress with important implications for Latino health. Using epidemiological research methods, we examined the prevalence of nervios and associated risk factors, including drug and alcohol use, acculturation, and housing conditions in a population-based study of farm worker families in Mendota, CA (the MICASA Study). A household enumeration procedure was used for sampling, and 843 individuals were interviewed in 2006–2007. In this analysis, we present data on 422 men, 381 accompanied (family) males and 41 unaccompanied males. The prevalence of nervios was 22 %, with no difference in prevalence by household status. Low family incomes, drug use, medium/high acculturation, and poor housing conditions were associated with increased odds of nervios. Self-reported poor/fair health, depressive symptoms, and high perceived stress were also associated with nervios. Since nervios has been shown to be a clinical indicator of psychiatric vulnerability among Latinos, this analysis furthers public health goals of reducing health disparities.     

Linking household surveys and health facility assessments to estimate intervention coverage for the Lives Saved Tool (<Emphasis Type="Italic">LiST</Emphasis>)

Background

Calls have been made for improved measurement of coverage for maternal, newborn and child health interventions. Recently, methods linking household and health facility surveys have been used to improve estimation of intervention coverage. However, linking methods rely the availability of household and health facility surveys which are temporally matched. Because nationally representative health facility assessments are not yet routinely conducted in many low and middle income countries, estimates of intervention coverage based on linking methods can be produced for only a subset of countries. Estimates of intervention coverage are a critical input for modelling the health impact of intervention scale-up in the Lives Saved Tool (LiST). The purpose of this study was to develop a data-driven approach to estimate coverage for a subset of antenatal care interventions modeled in LiST.

Methods

Using a five-step process, estimates of population level coverage for syphilis detection and treatment, case management of diabetes, malaria infection, hypertensive disorders, and pre-eclampsia, were computed by linking household and health facility surveys. Based on data characterizing antenatal care and estimates of coverage derived from the linking approach, predictive models for intervention coverage were developed. Updated estimates of coverage based on the predictive models were compared, first with current default proxies, then with estimates based on the linking approach. Model fit and accuracy were assessed using three measures: the coefficient of determination, Pearson’s correlation coefficient, and the root mean square error (RMSE).

Results

The ability to predict intervention coverage was fairly accurate across all interventions considered. Predictive models accounted for 20–63% of the variance in intervention coverages, and correlation coefficients ranged from 0.5 to 0.83. The predictive model used to estimate coverage of management of pre-eclampsia performed relatively better (RMSE = 0.11) than the model estimating coverage of diabetes case management (RMSE = 0.19).

Conclusions

The new approach to estimate coverage represents an improvement over current default proxies in LiST. As the availability of reliable coverage data improves, impact estimates generated by LiST will improve. This study underscores the need for continued efforts to improve coverage measurement, while bringing to the fore the importance of health facility assessments as complementary data sources.

     

Factors Associated with Vaccination Status of Children Aged 12–48 Months in India, 2012–2013

Objectives India has more unvaccinated children than any other country despite provision of free vaccines through the government’s Universal Immunization Program. In this study, we calculated the proportion of children aged 12–48 months who were fully vaccinated, under-vaccinated, or who had not received any vaccines. Childhood, household, and sociocultural factors associated with under-vaccination and non-vaccination were evaluated. Methods Using data from India’s 4th District-level Health and Facility Survey, 2012–2013 (DLHS-4) and the 2012–2013 Annual Health Survey (AHS), we calculated the proportion of children who were non-vaccinated, under-vaccinated, or fully vaccinated with 1 dose of Bacillus Calmette–Guérin, 3 doses of oral polio vaccine, 3 doses of diphtheria–pertussis–tetanus, and 1 dose of measles-containing vaccine. The odds of full vaccination compared to non-vaccination and under-vaccination relative to various factors was assessed using a multivariable, multinomial logistic regression which accounted for survey design. Results Of 1,929,580 children aged 12–48 months, 59% were fully vaccinated, 34% were under-vaccinated, and 7% were non-vaccinated. Compared to children born in government institutions, children delivered in non-institutional settings with a skilled birth attendant present had higher odds of non-vaccination (OR 1.66) and those without a skilled attendant present had still greater odds of non-vaccination (OR 2.39) and under-vaccination (OR 1.11). Conclusions for Practice India’s vaccination rates among children aged 12–48 months remains unacceptably low. The Indian government should encourage institutional delivery or birthing with a skilled attendant to ensure women receive adequate health education through antenatal care that includes the importance of childhood vaccination.     

Oregon’s Coordinated Care Organizations and Their Effect on Prenatal Care Utilization Among Medicaid Enrollees

Introduction Previous studies indicate that inadequate prenatal care is more common among women covered by Medicaid compared with private insurance. Increasing the proportion of pregnant women who receive early and adequate prenatal care is a Healthy People 2020 goal. We examined the impact of the implementation of Oregon’s accountable care organizations, Coordinated Care Organizations (CCOs), for Medicaid enrollees, on prenatal care utilization among Oregon women of reproductive age enrolled in Medicaid. Methods Using Medicaid eligibility data linked to unique birth records for 2011–2013, we used a pre-posttest treatment–control design that compared prenatal care utilization for women on Medicaid before and after CCO implementation to women never enrolled in Medicaid. Additional stratified analyses were conducted to explore differences in the effect of CCO implementation based on rurality, race, and ethnicity. Results After CCO implementation, mothers on Medicaid had a 13% increase in the odds of receiving first trimester care (OR 1.13, CI 1.04, 1.23). Non-Hispanic (OR 1.20, CI 1.09, 1.32), White (OR 1.20, CI 1.08, 1.33) and Asian (OR 2.03, CI 1.26, 3.27) women on Medicaid were more likely to receive initial prenatal care in the first trimester after CCO implementation and only Medicaid women in urban areas were more likely (OR 1.14, CI 1.05, 1.25) to initiate prenatal care in the first trimester. Conclusion Following Oregon’s implementation of an innovative Medicaid coordinated care model, we found that women on Medicaid experienced a significant increase in receiving timely prenatal care.     

Allelopathic Effects of <Emphasis Type="Italic">Myriophyllum aquaticum</Emphasis> on Two Cyanobacteria of <Emphasis Type="Italic">Anabaena flos-aquae</Emphasis> and <Emphasis Type="Italic">Microcystis aeruginosa</Emphasis>

Allelopathy has been proposed as a sustainable means to control undesired algal growth and to reduce blooms threatening freshwater systems worldwide. In this study, the allelopathic effects of Myriophyllum aquaticum and its exudate on two typical bloom-forming cyanobacteria, Microcystis aeruginosa and Anabaena flos-aquae, were investigated under laboratory conditions. The growth of the cyanobacteria was strongly inhibited by live M. aquaticum while the primary addition of M. Aquaticum exudates had a significant inhibitory effect on the growth of M. aeruginosa but not A. flos-aquae. The results suggested that the persistent release of allelochemicals from live M. aquaticum was needed to effectively constrain the growth of A. flos-aquae. Analysis of cyanobacterial physiological indexes indicated that M. aquaticum produced an inhibitory effect on SOD enzyme activity of A. flos-aquae, while it affected membrane lipid peroxidation in M. aeruginosa. The results show the potential of M. aquaticum to mitigate cyanobacterial blooms in coexistence systems.     

Measures of Maternal Socioeconomic Status in Yemen and Association with Maternal and Child Health Outcomes

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.     

Access to Obstetric Care and Children’s Health,Growth and Cognitive Development in Vietnam: Evidence from Young Lives

Background The impact of birth with poor access to skilled obstetric care such as home birth on children’s long term development is unknown. This study explores the health, growth and cognitive development of children surviving homebirth in the Vietnam Young Lives sample during early childhood. Methods The Young Lives longitudinal cohort study was conducted in Vietnam with 1812 children born in 2001/2 with follow-up at 1, 5, and 8 years. Data were collected on height/weight, health and cognitive development (Peabody Picture Vocabulary test). Statistical models adjusted for sociodemographic and pregnancy-related factors. Results Children surviving homebirth did not have significantly poorer long-term health, greater stunting after adjusting for sociodemographic/pregnancy-related factors. Rural location, lack of household education, ethnic minority status and lower wealth predicted greater stunting and poorer scores on Peabody Vocabulary test. Conclusions Social disadvantage rather than homebirth influenced children’s health, growth and development.     

Health and Safety in Family Day Care Homes: Association Between Regulatory Non-compliance and Lower Median Income

Objectives To determine frequency of non-compliance with child care regulations among family day care homes (FDCH) and identify the role of income in compliance. Methods We analyzed non-compliance in 746 routine, unannounced inspection and re-inspection reports of FDCH collected by the Connecticut Department of Public Health licensing specialists in 2007–2008 and linked results to median income of zip code data. We grouped the 83 state regulations into 12 regulation categories, analyzed 11 categories, and used latent class analysis to classify each FDCH as high or low compliance for each category. We used logistic regression analysis to estimate the odds ratios of low compliance. Results Among the 746 FDCH inspections (594 first inspections and 152 re-inspections), we found high rates of non-compliance in inspection regulations in immunizations (32.9 %), water temperature (35.6 %) and hazards (30.0 %). Among the 11 regulation categories, 4 categories (indoor safety, emergency preparedness, child/family/staff documentation, and qualifications of provider) had regulations with high non-compliance. Median household income of FDCH zip code was lower for re-inspection sites than for inspection sites ($34,715 vs. $57,118, p < 0.0001) and FDCH in the lowest quartile of income had greater odds of low compliance in indoor safety (OR 1.86, 95 % CI 1.04, 3.35, p < 0.05). Conclusions The majority of FDCH were in compliance with the majority of regulations, yet there are glaring non-compliance issues in inspections and re-inspections and there are income-based inequities that place children at higher risk who are already at high risk for suboptimal health outcomes.     

Public Health Insurance and Health Care Utilization for Children in Immigrant Families

Objectives To estimate the impacts of public health insurance coverage on health care utilization and unmet health care needs for children in immigrant families. Methods We use survey data from National Health Interview Survey (NHIS) (2001–2005) linked to data from Medical Expenditures Panel Survey (MEPS) (2003–2007) for children with siblings in families headed by at least one immigrant parent. We use logit models with family fixed effects. Results Compared to their siblings with public insurance, uninsured children in immigrant families have higher odds of having no usual source of care, having no health care visits in a 2 year period, having high Emergency Department reliance, and having unmet health care needs. We find no statistically significant difference in the odds of having annual well-child visits. Conclusions for practice Previous research may have underestimated the impact of public health insurance for children in immigrant families. Children in immigrant families would likely benefit considerably from expansions of public health insurance eligibility to cover all children, including children without citizenship. Immigrant families that include both insured and uninsured children may benefit from additional referral and outreach efforts from health care providers to ensure that uninsured children have the same access to health care as their publicly-insured siblings.     

Evaluation of Training Program for the Maternal and Child Health Workforce at Tulane University

Objectives Despite significant investments in Maternal and Child Health (MCH), the United States still lags behind other countries in key MCH indicators. A well-trained workforce is needed to improve MCH. The Division of MCH Workforce Development of HRSA’s Maternal and Child Health Bureau provides funding to schools of Public Health to support Centers of Excellence in MCH, which is focused on preparing the next generation of MCH leaders through specialized training and mentorship. One such center, the Tulane Center of Excellence in MCH (CEMCH), is housed at the Tulane University School of Public Health and Tropical Medicine. This study evaluated the perceived effectiveness and acceptability of the CEMCH leadership training program. Methods A mixed-methods approach was used, consisting of semi-structured interviews and quantitative surveys which were analyzed through inductive methods based in grounded theory and non-parametric methods respectively. Results Results indicated an overall high level of program satisfaction by all stakeholders. Mentorship and personal attention emerged as an important benefit for both former and current Scholars. The opportunity to gain real-world understanding of MCH work through program activities was an added benefit, although these activities also presented the most challenges. Community stakeholders generally did not view the program as providing immediate organizational benefit, but recognized the distal benefit of contributing to a well-trained MCH workforce. Conclusions for Practice These results will be used to inform other MCH training programs and strengthen Tulane’s CEMCH. A well-trained MCH workforce is essential to improving MCH, and high-quality training its foundation.