Dietary patterns and their socioeconomic factors of adherence among adults in urban Burkina Faso: a cross-sectional study.

BACKGROUND: Sub-Saharan African populations undergo a nutrition transition towards diets associated with increased risk for metabolic and cardiovascular diseases. For targeted prevention, we aimed to characterize dietary patterns and determine their sociodemographic factors of adherence. METHODS: We recruited 1,018 adults aged > = 25 years from two formal and three informal settlements within the Health and Demographic Surveillance System, Ouagadougou, Burkina Faso, between February and April 2021. In a cross-sectional sample, a culture-specific food-propensity questionnaire with 134 food items and a sociodemographic questionnaire were used to collect the data. Exploratory dietary patterns were derived using principal component analysis, and sociodemographic factors of adherence were calculated using multivariable linear regression models. RESULTS: In this study population (median age: 42 years, interquartile range 21 years; male: 35.7%), the diet relied on starchy foods and other plant-based staples with rare consumption of animal-based products. We identified three dietary patterns, explaining 10.2%, 9.8%, and 8.9% of variation in food intake, respectively: a meat and egg-based pattern associated with younger age, male sex, better education, and economic situation; a fish-based pattern prevailed among women, higher educational levels, and better economic situation; and a starchy food-based was associated with younger age and sharing a home with other adults. CONCLUSIONS: This study population is at an early stage of the nutrition transition and shows low intakes of health-beneficial food groups. Yet, progress along the nutrition transition varies according to age, educational attainment, and economic status. Particularly, younger and well-off people seem to adhere more strongly to diets high in animal-based products. These findings can inform strategies in public health nutrition for sub-Saharan African populations.

Use of a digital job-aid in improving antenatal clinical protocols and quality of care in rural primary-level health facilities in Burkina Faso: a quasi-experimental evaluation.

OBJECTIVE: We assessed the impact of a digital clinical decision support (CDS) tool in improving health providers adherence to recommended antenatal protocols and service quality in rural primary-level health facilities in Burkina Faso. DESIGN: A quasi-experimental evaluation based on a cross-sectional post-intervention assessment comparing the intervention district to a comparison group. SETTING AND PARTICIPANTS: The study included 331 direct observations and exit interviews of pregnant women seeking antenatal care (ANC) across 48 rural primary-level health facilities in Burkina Faso in 2021. INTERVENTION: Digital CDS tool to improve health providers adherence to recommended antenatal protocols. OUTCOME MEASURES: We analysed the quality of care on both the supply and demand sides. Quality-of-care service scores were based on actual care provided and expected care according to standards. Pregnant women's knowledge of counselling and satisfaction score after receiving care were also calculated. Other outcomes included time of clinical encounter. RESULTS: The overall quality of health service provision was comparable across intervention and comparison health facilities (52% vs 51%) despite there being a significantly higher proportion of lower skilled providers in the intervention arm (42.5% vs 17.8%). On average, ANC visits were longer in the intervention area (median 24 min, IQR 18) versus comparison area (median 12 min, IQR: 8). The intervention arm had a significantly higher score difference in women's knowledge of received counselling (16.4 points, 95% CI 10.37 to 22.49), and women's satisfaction (16.18 points, 95% CI: 9.95 to 22.40). CONCLUSION: Digital CDS tools provide a valuable opportunity to achieve substantial improvements of the quality of ANC and broadly maternal and newborn health in settings with high burden mortality and less trained health cadres when adequately implemented.