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Introduction While there has been considerable analysis of the health and economic effects of COVID-19 in the Global North, representative data on the distribution and depth of social and economic impacts in Africa has been more limited. Methods We analyze household data collected prior to the COVID-19 pandemic and during the first wave of COVID in four African countries. We evaluate the short-term changes to household economic status and assess women’s access to health care during the first wave of COVID-19 in nationally representative samples of women aged 15–49 in Kenya and Burkina Faso, and in sub-nationally representative samples of women aged 15–49 in Kinshasa, Democratic Republic of Congo and Lagos, Nigeria. We examine prevalence and distribution of household income loss, food insecurity, and access to health care during the COVID-19 lockdowns across residence and pre-pandemic wealth categories. We then regress pre-pandemic individual and household sociodemographic characteristics on the three outcomes. Results In three out of four samples, over 90% of women reported partial or complete loss of household income since the beginning of the coronavirus restrictions. Prevalence of food insecurity ranged from 17.0% (95% CI 13.6–20.9) to 39.8% (95% CI 36.0–43.7), and the majority of women in food insecure households reported increases in food insecurity during the COVID-19 restriction period. In contrast, we did not find significant barriers to accessing health care during COVID restrictions. Between 78·3% and 94·0% of women who needed health care were able successfully access it. When we examined pre-pandemic sociodemographic correlates of the outcomes, we found that the income shock of COVID-19 was substantial and distributed similarly across wealth groups, but food insecurity was concentrated among poorer households. Contrary to a-priori expectations, we find little evidence of women experiencing barriers to health care, but there is significant need for food support.

ObjectiveMeasuring current use of contraception relies on self-reported responses from survey respondents. Reporting validity may be affected by women's interpretation of the question and may vary by background characteristics of women. The study aims to understand levels and patterns of underreporting of female sterilization in a population with high sterilization rates.Study designData came from the Performance Monitoring and Accountability 2020 survey conducted in Rajasthan, India, in early 2017. In addition to a conventional question to ascertain current contraceptive use, the survey included a probing question; women who did not report sterilization as a current method were asked if they were ever sterilized. Women were defined as sterilization users based on either question. Among sterilized women, we estimated the percent who reported sterilization as a current method. Multivariable logistic regression analysis was conducted to assess differential reporting across background characteristics.ResultsAmong women who were ever sterilized, 78% reported currently using any contraceptive method(s), and 77% reported sterilization as the current method. Women in the lowest household wealth quintile or in general caste were less likely to report sterilization as a current method. Time since sterilization was not associated with correct reporting of sterilization.ConclusionThis study demonstrates, in a population with high sterilization, that sterilization as a current contraceptive method would be substantially underestimated using conventional survey questions. It highlights the importance of context-specific questionnaire adaptation to measure and monitor contraceptive use and provides implications in measuring current use of contraception in populations with high rates of sterilization.ImplicationsThe paper examined reporting of sterilization as a current method among sterilized women. Only 77% of sterilized women reported sterilization as a current contraceptive method. In a population with high sterilization, inclusion of a probe question in surveys is recommended to understand reporting quality and accurately measure contraceptive prevalence rates.

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Objectives Promotion of improved complementary feeding (CF) practices for children 6–23 m is a priority intervention to prevent stunting and also childhood obesity. However, global household survey programs do not include CF intervention coverage or “unhealthy” diet practices. We aimed to develop and refine indicators and questions for measuring these outcomes in large-scale household surveys. Methods In 2017 and 2018, we carried out nationally-representative household surveys in Burkina Faso (BF) and Kenya (K) that included children 0–59 m and women 10–49 yrs. Over two rounds per country we modified the questionnaire, tools and enumerator training to better capture the intended information. In 2018, we used both prompted and unprompted approaches to ask about specific CF messages received. Results Coverage of any CF counseling among caregivers of 6–23 m olds who received counseling in the specified recall period (within 1 m for 6–11 m olds, within 3 m for 12–23 m olds) remained constant over the two years in both countries (2017: 16% Burkina Faso, 20% Kenya; 2018: 17% Burkina Faso; 18% Kenya). Between years, we changed the structure of questions about the timing of their last counseling visit. The revised 2018 method allowed more flexibility in defining and comparing recall periods by age group (Figure 1). Unprompted questions about CF messages resulted in much lower coverage compared to prompted (Figure 2). The proportion of children achieving minimum dietary diversity increased slightly across years (2017: 16% BF, 40% K; 2018: 20% BF, 43% K). Consumption of unhealthy foods, particularly sugar-sweetened beverages (SSB) increased with age (Figure 3). However, when we excluded “milk tea with sugar” from the SSB definition in Kenya, consumption was only 11% for children 6–59 m. Perceptions around unhealthy foods and SSBs varied by cultural context, making it challenging for enumerators to classify foods into these categories. Conclusions Consideration should be given to recall periods, prompted versus unprompted responses, and culturally appropriate training around dietary data collection to elicit the most accurate results in survey settings. Our findings are generalizable to global and national nutrition surveys programs including the Demographic and Health Survey. Funding Sources Bill & Melinda Gates Foundation. Supporting Tables, Images and/or Graphs