| Literature DB >> 35911869 |
Elodie Becquey1, Issa Sombié2, Mariama Touré1, Zuzanna Turowska1, Emilie Buttarelli1, Nicholas Nisbett3.
Abstract
Looking back at what has effectively improved nutrition may inform policy makers on how to accelerate progress to end all forms of malnutrition by 2030. As under-five stunting declined substantially in Burkina Faso, we analyzed its nutrition story at the micro-level. We conducted a regression-decomposition analysis to identify demographic and health drivers associated with change in height-for-age using longitudinal, secondary, nationally-representative data. We triangulated results with findings from semi-structured community interviews (n = 91) in two "model communities" with a history of large stunting reduction. We found that improvement in immunization coverage, assets accumulation and reduction in open defecation were associated with 23%, 10% and 6.1% of the improvement in height-for-age, respectively. Associations were also found with other education, family planning, health and WASH indicators. Model communities acknowledged progress in the coverage and quality of nutrition-specific and nutrition-sensitive sectoral programs co-located at the community level, especially those delivered through the health and food security sectors, though delivery challenges remained in a context of systemic poverty and persistent food insecurity. Burkina Faso's health sector's success in improving coverage of nutrition and healthcare programs may have contributed to improvements in child nutrition alongside other programmatic improvements in the food security, WASH and education sectors. Burkina Faso should continue to operationalize sectoral nutrition-sensitive policies into higher-quality programs at scale, building on its success stories such as vaccination. Community leverage gaps and data gaps need to be filled urgently to pressure for and monitor high coverage, quality delivery, and nutrition impact of agriculture, education, and WASH interventions. Supplementary Information: The online version contains supplementary material available at 10.1007/s12571-022-01274-z.Entities:
Keywords: Burkina Faso; Community perspective; Linear growth; Nutrition; Program
Year: 2022 PMID: 35911869 PMCID: PMC9325828 DOI: 10.1007/s12571-022-01274-z
Source DB: PubMed Journal: Food Secur ISSN: 1876-4517 Impact factor: 7.141
Data sources and data analysis methods
| Tool and objective | Data sources | Data/data source selection, data collection and analysis | Profile of data/data source |
|---|---|---|---|
to identify associations between positive changes in child nutrition over time and concurrent changes in sectoral programs and services | Secondary data analysis from DHS datasets of rounds 1998–99, 2003, 2010 (Institut National de la Statistique et de la Démographie, | • DHS round selection: the 1993 round of DHS was not used as HAZ worsened between 1993 and 1998–99. Since the 2010 round, no further DHS survey has been conducted • Outcome: height-for-age z-scores (HAZ) in children 0–59 mo of age • Selection of potential drivers: Similar studies in other countries (Headey et al., • Data analysis: We used multivariate regression analysis pooling the three survey rounds to estimate the marginal effect of the drivers on HAZ, taking village-level clustering into account and controlling for maternal age, child sex and age, and area of residence (rural or urban). We tested regression coefficient differences across rounds and whether coefficients from individual rounds differed from the pooled model, to confirm stability of coefficients. We then used decomposition techniques to calculate the share of change in nutrition outcomes due to each driver by multiplying observed change with marginal effect from regression analyses | Drivers tested (see online resource • Indicators related to feeding and caregiving resources: paternal education (years), maternal education (years), assets index (0–10), number of children • Indicators related to health services: appropriate use of antenatal care (maternal level), child born in a medical facility, age-appropriate immunization • Indicators related to safe hygienic environment: improved drinking water, piped water in residence, improved sanitation facility, open defecation (village level) • maternal height was added to capture the vicious/virtuous inter-generational cycle of malnutrition Potential drivers which could not be tested: • Food security (no consistent longitudinal data) • Infant and young child feeding practices (no longitudinal data) • Malaria control programs (only 2 rounds of data) |
Secondary data analysis from: • DHS datasets of rounds 1993, 1998–99, 2003, 2010 (Institut National de la Statistique et de la Démographie, • Annual National Nutrition Surveys reports (2009–2018) (Burkina Faso, • Malaria indicators survey 2014 and 2017–2018 (Institut National de la Statistique et de la Démographie -INSD et al., | • Selection of potential drivers and datasets: we focused on the drivers identified for the decomposition analysis (see above) • Selection of datasets: We primarily used all available rounds of DHS. When proxy indicators of pre-selected drivers were not present in the datasets used for the decomposition analysis (see above), we searched for alternative longitudinal datasets or reports available online or through simple request, based on an exhaustive review of national nutrition data sources (Transform Nutrition West Africa, • Descriptive analysis: we plotted descriptive statistics (prevalence or mean value) of proxy indicators of potential drivers of nutrition available between 1992 and 2018 | NA | |
to identify perceived changes in nutrition outcomes and nutrition-related drivers at community levels | Primary data collection through semi-structured in-depth interviews with key informants in the community (n = 79) | • Sampling: Two regions, and within each region, one province, were selected based on their significant reduction in chronic child malnutrition over the past 15 years, and their similarity in terms of climate, with different means of existence. Within each province, 4 villages were randomly selected proportionally to their size (number of households) (n = 8 villages). the 8 village chiefs selected 8 male village leaders, 8 female village leaders, 32 household heads, and 32 wives, who had lived in the village for at least 10 years • Semi-structured in-depth interviews were conducted in 4 local languages (Mooré, Bissa, Nouni, Dagara) or French (as preferred by respondents) by experienced enumerators fluent in the language; digitally recorded; then transcribed in French by the same enumerators with a sub-set of transcriptions reviewed by IS (all languages) and EBe (French). Informed consent was documented at the start of each interview • Verbatim transcripts were coded by research assistants using a pre-defined theme list developed by EBe, EBu and ZT based on the key concepts from our interview guides; a sub-set was reviewed by IS and ZT. Results were summarized in French by research assistants, with spot checks by IS, ZT and EBe, and organized according to the framework presented in Table | • One interview of a head of household was not completed because the interviewee had to bring his sick child to the hospital • Respondents profile: Community members were on average 52 ± 12 years old; thirty-three women were housewives and 31 men were family farmers |
Proxy indicators for policies and programs associated with improvements in HAZ scores between 1998–2003 and 2010 respective contribution to the progress according to regression-decomposition analysis of DHS data
| Variables | Estimate β (1) | Sample mean: 1998–99 | Sample mean: 2010 | Change in mean (2) | Predicted change in HAZ = (1)*(2) | Share of predicted change in HAZ |
|---|---|---|---|---|---|---|
| HAZ score (outcome) | -1.74 | -1.38 | 0.36 | NA | NA | |
| Assets Index (0–10) | 0.043 | 1.6 | 2.4 | 0.84 | 0.036 | 10% |
| Maternal education, years | 0.014 | 0.45 | 0.89 | 0.43 | 0.0060 | 1.7% |
| Paternal education, years | 0.012 | 0.46 | 1.1 | 0.62 | 0.0074 | 2.1% |
| Antenatal care | 0.094 | 0.30 | 0.32 | 0.018 | 0.0017 | 0.47% |
| Number of children | -0.016 | 4.6 | 4.2 | -0.38 | 0.0061 | 1.7% |
| Open defecation (village level) | -0.17 | 0.81 | 0.68 | -0.13 | 0.022 | 6.1% |
| Piped water in the residence | 0.23 | 0.018 | 0.040 | 0.022 | 0.005 | 1.4% |
| Fully immunized | 0.15 | 0.21 | 0.76 | 0.54 | 0.082 | 23% |
| Maternal height, cm | 0.042 | 161.5 | 161.7 | 0.15 | 0.0063 | 1.8% |
Fig. 1Evolution of proxy indicators for infant and young child feeding programs from 2012 to 2018 (panel A), health services from 1993 to 2010 (panel B), malaria control programs from 2003 to 2018–19 (panel C), water and sanitation programs from 1993 to 2010 (panel D), family planning from 1993 to 2010 (panels E, F), and education services from 1993 to 2010 (panel G). Data sources: Demographic and health surveys 1993, 1998–99, 2003 and 2010 (panels B, D, E, F, G), National nutrition surveys 2012 to 2018 (panel A), Demographic and health survey 2003 and 2010 and Malaria indicators survey 2014 and 2018–19 (panel C)