Predictors of Health-Care Utilization Among Children 6-59 Months of Age in Zambézia Province, Mozambique.

Globally, approximately 5.9 million children under 5 years of age died in 2015, a reduction of over 50% since 1990. Millennium Development Goal 4 established the goal of reducing child mortality by two-thirds by 2015. Multiple countries have surpassed this goal; however, regional and within-country inequities exist. We sought to study determinants of health-care utilization among children 6-59 months of age with fever, diarrhea, and respiratory symptoms in Zambézia Province, Mozambique. We conducted a population-based cross-sectional survey of female heads of household between April and May 2014. Mobile teams conducted interviews in 262 enumeration areas, with three distinct districts being oversampled for improved precision. Descriptive statistics and logistic regression using Stata 13.1 and R 3.2.2 were used to examine factors associated with health-care utilization. A total of 2,317 children were evaluated in this study. Mothers' median age was 26 years, whereas child median age was 24 months. The proportion of children reporting fever, diarrhea, or respiratory illness in the prior 30 days was 44%, 22%, and 22%, respectively. Health-care utilization varied with 65% seeking health care for fever, compared with 57% for diarrhea and 25% for respiratory illness. In multivariable logistic regression, the characteristics most associated with health-care utilization across illnesses were delivery of last child at a facility, higher maternal education, and household ownership of a radio. The decision or ability to use health care is a multifaceted behavior swayed by societal norms, values, socioeconomics, and perceived need. Recognizing the predictors of a particular population may offer useful information to increase uptake in health-care services.

Predictors of Health-Care Utilization Among Children 6-59 Months of Age in Zambézia Province, Mozambique

Abstract. Globally, approximately 5.9 million children under 5 years of age died in 2015, a reduction of over 50% since 1990. Millennium Development Goal 4 established the goal of reducing child mortality by two-thirds by 2015. Multiple countries have surpassed this goal; however, regional and within-country inequities exist. We sought to study determinants of health-care utilization among children 6­59 months of age with fever, diarrhea, and respiratory symptoms in Zambézia Province, Mozambique. We conducted a population-based cross-sectional survey of female heads of household between April and May 2014. Mobile teams conducted interviews in 262 enumeration areas, with three distinct districts being oversampled for improved precision. Descriptive statistics and logistic regression using Stata 13.1 and R 3.2.2 were used to examine factors associated with health-care utilization. A total of 2,317 children were evaluated in this study. Mothers' median age was 26 years, whereas child median age was 24 months. The proportion of children reporting fever, diarrhea, or respiratory illness in the prior 30 days was 44%, 22%, and 22%, respectively. Health-care utilization varied with 65% seeking health care for fever, compared with 57% for diarrhea and 25% for respiratory illness. In multivariable logistic regression, the characteristics most associated with health-care utilization across illnesses were delivery of last child at a facility, higher maternal education, and household ownership of a radio. The decision or ability to use health care is a multifaceted behavior swayed by societal norms, values, socioeconomics, and perceived need. Recognizing the predictors of a particular population may offer useful information to increase uptake in health-care services.

HIV testing service awareness and service uptake among female heads of household in rural Mozambique: results from a province-wide survey.

BACKGROUND: HIV voluntary counseling and testing (VCT) utilization remains low in many sub-Saharan African countries, particularly in remote rural settings. We sought to identify factors associated with service awareness and service uptake of VCT among female heads of household in rural Zambézia Province of north-central Mozambique which is characterized by high HIV prevalence (12.6%), poverty, and suboptimal health service access and utilization. METHODS: Our population-based survey of female heads of household was administered to a representative two-stage cluster sample using a sampling frame created for use on all national surveys and based on census results. The data served as a baseline measure for the Ogumaniha project initiated in 2009. Survey domains included poverty, health, education, income, HIV stigma, health service access, and empowerment. Descriptive statistics and logistic regression were used to describe service awareness and service uptake of VCT. RESULTS: Of 3708 women surveyed, 2546 (69%) were unaware of available VCT services. Among 1162 women who were aware of VCT, 673 (58%) reported no prior testing. In the VCT aware group, VCT awareness was associated with higher education (aOR = 2.88; 95% CI = 1.61, 5.16), higher income (aOR = 1.41, 95% CI = 1.06, 1.86), higher numeracy (aOR = 1.05, CI 1.03, 1.08), more children < age 5 in the home (aOR = 1.53; 95% CI = 1.07, 2.18), closer proximity to a health facility (aOR = 1.05; 95% CI = 1.03, 1.07), and mobile phone ownership (aOR = 1.37; 95% CI = 1.03, 1.84) (all p-values < 0.04). Having a higher HIV-associated stigma score was the factor most strongly associated with being less likely to test. (aOR = 0.41; 95% CI = 0.23, 0.71; p<0.001). CONCLUSIONS: Most women were unaware of available VCT services. Even women who were aware of services were unlikely to have been tested. Expanded VCT and social marketing of VCT are needed in rural Mozambique with special attention to issues of community-level stigma reduction.

Assessing spatial patterns of HIV knowledge in rural Mozambique using geographic information systems.

OBJECTIVES: To conduct a cross-sectional mapping analysis of HIV knowledge in Zambézia Province, Mozambique, and to examine spatial patterns of HIV knowledge and associated household characteristics. METHODS: A population-based cluster survey was administered in 2010; data were analysed from 201 enumeration areas in three geographically diverse districts: Alto Molócuè, Morrumbala and Namacurra. We assessed HIV knowledge scores (0-9 points) using previously validated assessment tools. Using geographic information systems (GIS), we mapped hot spots of high and low HIV knowledge. Our multivariable linear regression model estimated HIV knowledge associations with distance to nearest clinic offering antiretroviral therapy, respondent age, education, household size, number of children under five, numeracy, literacy and district of residence. RESULTS: We found little overall HIV knowledge in all three districts. People in Alto Molócuè knew comparatively most about HIV, with a median score of 3 (IQR 2-5) and 22 of 51 (43%) enumeration areas scoring ≥4 of 9 points. Namacurra district, closest to the capital city and expected to have the best HIV knowledge levels, had a median score of 1 (IQR 0-3) and only 3 of 57 (5%) enumeration areas scoring ≥4 points. More HIV knowledge was associated with more education, age, household size, numeracy and proximity to a health facility offering antiretroviral therapy. CONCLUSIONS: HIV knowledge is critical for its prevention and treatment. By pinpointing areas of poor HIV knowledge, programme planners can prioritize educational resources and outreach initiatives within the context of antiretroviral therapy expansion.

Determinants of undernutrition among children aged 6 to 59 months in rural Zambézia Province, Mozambique: Results of two population-based serial cross-sectional surveys.

BACKGROUND: While many countries are transitioning from epidemics of undernutrition to overnutrition, Mozambique's very high 44% prevalence of stunting in children under age 5 years is cause for serious concern. METHODS: We conducted two population-based cross-sectional surveys of ~4000 female heads of households each in Zambézia Province, Mozambique from August-September 2010 (Baseline) and April-May 2014 (Endline) as part of the USAID funded Strengthening Communities through Integrated Programs (SCIP) grant. Anthropometric measurements were collected on 560 children aged 6-59 months at Baseline and 912 children at Endline and classified as: "stunted," a height-for-age z-score less than -2; "wasted," weight-for-height z-score less than -2; and "underweight," weight-for-age z-score less than -2. Descriptive statistics and logistic regression using Stata 13.1 were used to examine factors associated with undernutrition. RESULTS: Of children under age five years, 43% were undernourished in 2010 and 55% in 2014. The most common form of undernutrition was stunting (39% in 2010, 51% in 2014), followed by underweight (13% in both 2010 and 2014), and wasting (7% in 2010, 5% in 2014). Child's age was found to have a non-linear association with stunting. Vitamin A supplementation was associated with a 31% (p=0.04) decreased odds of stunting. Children who were exclusively breastfed for at least six months had an 80% (p=0.02) lower odds of wasting in 2014 and 57% (p=0.05) decreased odds of being underweight in 2014. Introducing other foods after age six months was associated with a five-fold increased odds of wasting in 2014 (p=0.02); household food insecurity was associated with wasting (OR=2.08; p=0.03) and underweight in 2010 (OR=2.31; p=0.05). Children whose mother washed her hands with a cleaning agent had a 40% (p=0.05) decreased odds of being underweight. Surprisingly, per point increase in household dietary diversity score, children had 12% greater odds of being stunted in 2010 (p=0.01) but 9% decreased odds of being underweight in 2014 (p=0.02). CONCLUSIONS: A combination of household and individual level factors was associated with undernutrition. As such, employment of multidimensional interventions should be considered to decrease undernutrition in children under five years old.

Antiretroviral therapy program expansion in Zambézia Province, Mozambique: geospatial mapping of community-based and health facility data for integrated health planning.

OBJECTIVE: To generate maps reflecting the intersection of community-based Voluntary Counseling and Testing (VCT) delivery points with facility-based HIV program demographic information collected at the district level in three districts (Ile, Maganja da Costa and Chinde) of Zambézia Province, Mozambique; in order to guide planning decisions about antiretroviral therapy (ART) program expansion. METHODS: Program information was harvested from two separate open source databases maintained for community-based VCT and facility-based HIV care and treatment monitoring from October 2011 to September 2012. Maps were created using ArcGIS 10.1. Travel distance by foot within a 10 km radius is generally considered a tolerable distance in Mozambique for purposes of adherence and retention planning. RESULTS: Community-based VCT activities in each of three districts were clustered within geographic proximity to clinics providing ART, within communities with easier transportation access, and/or near the homes of VCT volunteers. Community HIV testing results yielded HIV seropositivity rates in some regions that were incongruent with the Ministry of Health's estimates for the entire district (2-13% vs. 2% in Ile, 2-54% vs. 11.5% in Maganja da Costa, and 23-43% vs. 14.4% in Chinde). All 3 districts revealed gaps in regional disbursement of community-based VCT activities as well as access to clinics offering ART. CONCLUSIONS: Use of geospatial mapping in the context of program planning and monitoring allowed for characterizing the location and size of each district's HIV population. In extremely resource limited and logistically challenging settings, maps are valuable tools for informing evidence-based decisions in planning program expansion, including ART.

Multidimensional poverty in rural Mozambique: a new metric for evaluating public health interventions.

BACKGROUND: Poverty is a multidimensional phenomenon and unidimensional measurements have proven inadequate to the challenge of assessing its dynamics. Dynamics between poverty and public health intervention is among the most difficult yet important problems faced in development. We sought to demonstrate how multidimensional poverty measures can be utilized in the evaluation of public health interventions; and to create geospatial maps of poverty deprivation to aid implementers in prioritizing program planning. METHODS: Survey teams interviewed a representative sample of 3,749 female heads of household in 259 enumeration areas across Zambézia in August-September 2010. We estimated a multidimensional poverty index, which can be disaggregated into context-specific indicators. We produced an MPI comprised of 3 dimensions and 11 weighted indicators selected from the survey. Households were identified as "poor" if were deprived in >33% of indicators. Our MPI is an adjusted headcount, calculated by multiplying the proportion identified as poor (headcount) and the poverty gap (average deprivation). Geospatial visualizations of poverty deprivation were created as a contextual baseline for future evaluation. RESULTS: In our rural (96%) and urban (4%) interviewees, the 33% deprivation cut-off suggested 58.2% of households were poor (29.3% of urban vs. 59.5% of rural). Among the poor, households experienced an average deprivation of 46%; thus the MPI/adjusted headcount is 0.27 ( = 0.58×0.46). Of households where a local language was the primary language, 58.6% were considered poor versus Portuguese-speaking households where 73.5% were considered non-poor. Living standard is the dominant deprivation, followed by health, and then education. CONCLUSIONS: Multidimensional poverty measurement can be integrated into program design for public health interventions, and geospatial visualization helps examine the impact of intervention deployment within the context of distinct poverty conditions. Both permit program implementers to focus resources and critically explore linkages between poverty and its social determinants, thus deriving useful findings for evidence-based planning.