Respondent Fatigue Reduces Dietary Diversity Scores Reported from Mobile Phone Surveys in Ethiopia during the COVID-19 Pandemic.

BACKGROUND: The computer-assisted telephone interview (CATI) has been used extensively during the COVID-19 pandemic, but the effects of respondent fatigue during these interviews on responses to questions about diet are unknown. OBJECTIVES: We designed an experiment that randomized the placement of a survey module on the dietary diversity of rural Ethiopian women and assessed whether responses were altered by placing this module earlier or later in a phone survey. METHODS: Two CATIs were implemented; in the second, women were randomly assigned to answer questions on diet diversity either earlier or later in the interview. Women's Dietary Diversity Scores were the primary outcome. Secondary outcomes were dichotomous measures of consumption from four or more and five or more food groups and consumption of food groups consumed frequently, often, and rarely. Impacts were assessed using a respondent fixed effects model. RESULTS: Delaying the food consumption module by 15 min in the interview led to an 8%-17% (P < 0.01) decrease in reported Dietary Diversity Scores, a 28% (P < 0.01) decrease in the number of women who consumed a minimum of four dietary groups, and a 40% (P < 0.01) and 11% (P < 0.01) decrease in the reporting of consumption of animal source foods and fruits and vegetables, respectively. Moving the food consumption module closer to the beginning of the interview increased the number of reported food groups consumed by older women, women with a below-median education level, and women in larger households. CONCLUSIONS: Our findings suggest that comparisons of descriptive statistics across studies and countries on metrics such as food security and dietary quality may be confounded by where these modules are placed in the interview, thus highlighting trade-offs between volume of information collected and data quality when designing CATI surveys.

Access to health services, food, and water during an active conflict: Evidence from Ethiopia.

Civil conflict began in Ethiopia in November 2020 and has reportedly caused major disruptions in access to health services, food, and related critical services, in addition to the direct impacts of the conflict on health and well-being. However, the population-level impacts of the conflict have not yet been systematically quantified. We analyze high frequency phone surveys conducted by the World Bank, which included measures of access to basic services, to estimate the impact of the first phase of the war (November 2020 to May 2021) on households in Tigray. After controlling for sample selection, a difference-in-differences approach is used to estimate causal effects of the conflict on population access to health services, food, and water and sanitation. Inverse probability weighting is used to adjust for sample attrition. The conflict has increased the share of respondents who report that they were unable to access needed health services by 35 percentage points (95% CI: 14-55 pp) and medicine by 8 pp (95% CI:2-15 pp). It has also increased the share of households unable to purchase staple foods by 26 pp (95% CI:7-45 pp). The share of households unable to access water did not increase, although the percentage able to purchase soap declined by 17 pp (95% CI: 1-32 pp). We document significant heterogeneity across population groups, with disproportionate effects on the poor, on rural populations, on households with undernourished children, and those living in communities without health facilities. These significant disruptions in access to basic services likely underestimate the true burden of conflict in the affected population, given that the conflict has continued beyond the survey period, and that worse-affected households may have higher rates of non-response. Documented spatial and household-level heterogeneity in the impact of the conflict may help guide rapid post-conflict responses.

The impact of a health facility construction campaign on health service utilisation and outcomes: analysis of spatially linked survey and facility location data in Ethiopia.

BACKGROUND: Access to health facilities in many low-income and middle-income countries remains low, with a strong association between individuals' distance to facilities and health outcomes. Yet plausibly causal estimates of the effects of facility construction programmes are rare. Starting in 2004, more than 2800 government health facilities were built in Ethiopia. This study estimates the impact of this programme on maternal health service utilisation and birth outcomes. METHODS: We analyse the impact of Ethiopia's health centre construction programme on health service utilisation and outcomes, using a difference-in-difference design. We match facility opening years to child birth years in four rounds of Demographic and Health Surveys (DHS) using georeferenced data. We also use event study models to test for pre-trends in the outcomes of interest. RESULTS: Opening of new health facilities within 5 km increases facility delivery by 7.2 percentage points (95% CI 5.2 to 9.1) and antenatal care by 0.38 visits (95% CI 0.24 to 0.52). It is not significantly associated with changes in caesarean section births or neonatal mortality. Opening of district hospitals increases facility delivery by 18.2 percentage points (95% CI 12.7 to 23.7), and caesarean section births by 6.8 percentage points (95% CI 2.5 to 11.2), but is not associated with reduction of neonatal mortality. CONCLUSIONS: Ethiopia's facility construction program improved access to antenatal and delivery care. However, there was no detectable association between facility construction and neonatal mortality. Increased access to care must be combined with health system quality improvements and broader social development initiatives to sustainably improve health outcomes.