Background: Malaria in pregnancy is common in sub-Saharan Africa where it contributes to perinatal morbidity and mortality. Use of insecticide-treated bed nets and intermittent preventive therapy with sulfadoxine-pyrimethamine during pregnancy are effective but underutilized interventions to prevent infection. Factors associated with bed net ownership and usage, and use of prophylaxis among recently pregnant women in Cameroon were investigated. Methods: National data from the 2011 Cameroon Demographic Health Survey was used to identify women with a pregnancy within the previous 5 years. Logistic regression models were created to assess for independent predictors of reported bed net ownership, bed net usage, and the use of malaria prophylaxis medications during pregnancy. Results: Nearly one in two women surveyed had a recent pregnancy (n = 7647). In this group, bed net ownership and usage rates were low (33.7 and 16.9%, respectively); 61.6% used medication for malaria prophylaxis during pregnancy. Bed net ownership and usage were associated with maternal literacy (aOR 1.4 for net usage, 95% CI 1.1-1.8) and the presence of children under age 5 in the home (aOR 2.3 for net usage, 95% CI 1.6-3.3). The use of malaria prophylaxis medication was associated with measures of healthcare access (aOR 17.8, 95% CI 13-24.5 for ≥4 antenatal care visits), higher maternal education (aOR 1.5, 95% CI 1.1-2.1) and maternal literacy (aOR 1.4, 95% CI 1.1-1.7). Conclusions: Women in Cameroon and their antenatal providers missed many opportunities to prevent malaria in pregnancy. Efforts toward ensuring universal bed net provision, consistent antenatal care and the education of girls are likely to improve birth outcomes attributable to malaria infection.
Surveys were collected in Cameroon between January and August of 2011 as part of the cross-sectional National Demographic Health Survey (DHS) [22]. These recurring household level surveys have been carried out using previously described methods and survey data was weighted to make it nationally representative [22–24]. Data was collected from 15,426 eligible women who were interviewed using two-stage stratified sampling techniques. This study captures responses from the subset of 7647 women who reported a birth in the previous 5 years. Surveys included detailed questions about socio-demographics, pregnancy history, access to antenatal care services, site of delivery and the use of interventions to prevent malaria during the most recent pregnancy. Blood was collected from a subset of women for rapid HIV testing. DHS data has been cleaned, is devoid of personal identifiers and datasets are publicly available to researchers upon request. Sociodemographics included age, partner’s age, education, literacy (ability to read a written phrase in the language of choice), partner’s education, marital status, polygamy, religion, urban/rural residence (rural defined as a population density <20,000 people), region of the country (10 official regions plus separate categories for the two largest urban areas; Douala and Yaoundé i.e., 12 regional categories), ownership of a means of transportation (bicycle, motorcycle or car), parity, number of children 1 dose, at least 2 vs >2 doses, at least 3 vs >3 doses). Separate univariate (UV) and multi-variable (MV) models were fit for each outcome. All variables in Table 1 were considered for the MV models and variables were selected based on statistical significance in the univariate models (p < 0.05), review of existing literature and collinearity considerations. The same set of independent variables was used in all MV models. Sensitivity analyses were performed by fitting various MV models with and without the variables that showed collinearity. Since region of residence and urban/rural residence were highly collinear with the wealth variable, they were excluded from the MV models. The timing of the initial ANC visit, provider type and facility type were also excluded from MV models due to collinearity with one another. Missing data is presented in the tables but data points were generally complete. UV and MV odds ratios with 95% confidence intervals are presented in the tables and UV and MV odds ratios are shown in a figure. All analyses were performed with SAS 9.4 (Cary, NC) and results were adjusted for weighting, clustering and stratification using the SAS/STAT® “SURVEY” procedures. Characteristics of women with pregnancy in the past 5 years (n = 7647) Data adjusted for weighting, clustering and stratification a Numbers in parenthesis show the denominator for each variable due to missing data b More than one response allowed
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