Girmaye Dinsa

We undertook a systematic review of studies assessing the association between socioeconomic status (SES) and measured obesity in low- and middle-income countries (defined by the World Bank as countries with per capita income up to US$12,275) among children, men and women. The evidence on the subject has grown significantly since an earlier influential review was published in 2004. We find that in low-income countries or in countries with low human development index (HDI), the association between SES and obesity appears to be positive for both men and women: the more affluent and/or those with higher educational attainment tend to be more likely to be obese. However, in middle-income countries or in countries with medium HDI, the association becomes largely mixed for men and mainly negative for women. This particular shift appears to occur at an even lower level of per capita income than suggested by an influential earlier review. By contrast, obesity in children appears to be predominantly a problem of the rich in low- and middle-income countries.

BACKGROUND: Emerging data show that many low-income and middle-income country (LMIC) health systems struggle to consistently provide good-quality care. Although monitoring of inequalities in access to health services has been the focus of major international efforts, inequalities in health-care quality have not been systematically examined. METHODS: Using the most recent (2007-16) Demographic and Health Surveys and Multiple Indicator Cluster Surveys in 91 LMICs, we described antenatal care quality based on receipt of three essential services (blood pressure monitoring and urine and blood testing) among women who had at least one visit with a skilled antenatal-care provider. We compared quality across country income groups and quantified within-country wealth-related inequalities using the slope and relative indices of inequality. We summarised inequalities using random-effects meta-analyses and assessed the extent to which other geographical and sociodemographic factors could explain these inequalities. FINDINGS: Globally, 72·9% (95% CI 69·1-76·8) of women who used antenatal care reported blood pressure monitoring and urine and blood testing; this number ranged from 6·3% in Burundi to 100·0% in Belarus. Antenatal care quality lagged behind antenatal care coverage the most in low-income countries, where 86·6% (83·4-89·7) of women accessed care but only 53·8% (44·3-63·3) reported receiving the three services. Receipt of the three services was correlated with gross domestic product per capita and was 40 percentage points higher in upper-middle-income countries compared with low-income countries. Within countries, the wealthiest women were on average four times more likely to report good quality care than the poorest (relative index of inequality 4·01, 95% CI 3·90-4·13). Substantial inequality remained after adjustment for subnational region, urban residence, maternal age, education, and number of antenatal care visits (3·20, 3·11-3·30). INTERPRETATION: Many LMICs that have reached high levels of antenatal care coverage had much lower and inequitable levels of quality. Achieving ambitious maternal, newborn, and child health goals will require greater focus on the quality of health services and their equitable distribution. Equity in effective coverage should be used as the new metric to monitor progress towards universal health coverage. FUNDING: Bill & Melinda Gates Foundation.

OBJECTIVE: To assess the quality and effective coverage (EC) of family planning (FP) and antenatal care (ANC) services in Ethiopia. DESIGN: Secondary analyses of the 2014 Ethiopia Service Provision Assessment Plus Survey and 2016 Ethiopia Demographic and Health Survey data. SETTING AND PARTICIPANTS: Women using FP and ANC. MAIN OUTCOME MEASURES: Quality indices are created as a proportion of recommended clinical actions done in observations of ANC and FP visits. We adjust the crude coverage of ANC and of FP by the quality to estimate EC for both services. RESULTS: The crude coverage of FP was 61% and 62% for ANC in Ethiopia in 2016. On average, quality was 35.8% during FP visits and 86% of women received <50% of the recommended clinical actions. When adjusting the crude coverage to account for the quality of service, Ethiopia's FP services EC was 22%. On average, ANC quality was 34% and 81% received <50% of the recommended ANC clinical actions. When adjusting the crude coverage by the service quality, the mean EC of ANC services was 22% in Ethiopia. CONCLUSIONS: The quality of both FP and ANC services is low in Ethiopia, with women obtaining only a fraction of the standard clinical actions during their visits. In addition, there is considerable variation in EC across Ethiopia's regions, with variation driven largely by variations in crude coverage. To improve EC, actions are needed to improve the quality of ANC and FP care.

BACKGROUND: Several studies have reported inadequate levels of quality of care in the Ethiopian health system. Facility characteristics associated with better quality remain unclear. Understanding associations between patient volumes and quality of care could help organize service delivery and potentially improve patient outcomes. METHODS: Using data from the routine health management information system (HMIS) and the 2014 Ethiopian Service Provision Assessment survey + we assessed associations between daily total outpatient volumes and quality of services. Quality of care at the facility level was estimated as the average of five measures of provider knowledge (clinical vignettes on malaria and tuberculosis) and competence (observations of family planning, antenatal care and sick child care consultations). We used linear regression models adjusted for several facility-level confounders and region fixed effects with log-transformed patient volume fitted as a linear spline. We repeated analyses for the association between volume of antenatal care visits and quality. RESULTS: Our analysis included 424 facilities including 270 health centers, 45 primary hospitals and 109 general hospitals in Ethiopia. Quality was low across all facilities ranging from only 18 to 56% with a mean score of 38%. Outpatient volume varied from less than one patient per day to 581. We found a small but statistically significant association between volume and quality which appeared non-linear, with an inverted U-shape. Among facilities seeing less than 90.6 outpatients per day, quality increased with greater patient volumes. Among facilities seeing 90.6 or more outpatients per day, quality decreased with greater patient volumes. We found a similar association between volume and quality of antenatal care visits. CONCLUSIONS: Health care utilization and quality must be improved throughout the health system in Ethiopia. Our results are suggestive of a potential U-shape association between volume and quality of primary care services. Understanding the links between volume of patients and quality of care may provide insights for organizing service delivery in Ethiopia and similar contexts.

BACKGROUND: Non-prescribed antibiotic use is an emerging risky practice around the globe. An inappropriate use involving nonprescription access is one cause of the rapid increase in antibiotic resistance. Children commonly encounter many self-limiting illnesses for which they frequently use antibiotics without prescription. However, no specific and conclusive evidence exists to inform actions against this unsafe practice. We thus aimed to estimate the pooled proportion of non-prescribed antibiotic use for children at community levels in low- and middle-income countries. METHODS: A systematic search of records was conducted from PubMed/Medline, Embase, Scopus, CINAHL, and Google scholar. Eligible English-language publications were original articles which reported on community-based non-prescribed antibiotic use for children and conducted in low- and middle-income countries. Study features and the number of antibiotics used without prescriptions were extracted and pooled for effect sizes employing a random-effects model. The pooled proportion of non-prescribed antibiotic use was estimated as a percentage. RESULTS: In this analysis, we included a total of 39 articles consisting of 40,450 participants. Of these, 16,315 participants used non-prescribed antibiotics. The pooled percentage for this use of non-prescribed antibiotics was 45% (95% CI: 40-50%). The estimate was considerably higher in studies involving simulated patient methods (56%; 95% CI: 49-62%) than those studies with community surveys (40%; 95% CI: 34-46%) (P = 0.001). It was also varied by the recall period of antibiotics use-56% (95% CI: 50-62%) for instantly observed practice, 36% (95% CI: 22-50%) for within two week recall, 35% (95% CI: 26-45%) for 1-6 months recall, and 46% (95% CI: 37-54%) for more than six months recall (P = 0.001). Primary access points for the non-prescribed antibiotic uses were retail drug outlets. CONCLUSIONS: We found that nearly half of the antibiotics used for children in community settings were without prescriptions. For these unsafe practices, caregivers accessed antibiotics mainly from drug outlets. Hence, context-specific educational and regulatory interventions at these outlets and the community levels are the first steps to improving antibiotic usage for children in low- and middle-income countries. TRIAL REGISTRATION NUMBER: CRD42021288971 (PROSPERO). https://www.crd.york.ac.uk/prospero/display_record.php?ID=CRD42021288971 .