No abstract

Minors account for 20 percent of the world’s migrants, reaching 33 million in 2019. The prevalence of malnutrition has been reported between 17 and 21% among refugees. However, data about Sub-Saharan African refugees is lacking. The study evaluates the nutritional status of refugees in the Nguenyyiel camp in Gambella (Ethiopia). The retrospective cohort study included all children under five attending the first visit to the refugee camp’s health post between 01/06/2021 and 31/08/2021. Sociodemographic data, body weight, and upper arm circumference (MUAC) were recorded. The z-score of weight for age (WFA) and MUAC for age (MUACZ) were estimated using the R ‘anthro’ package developed by the World Health Organization (WHO). Children with WFA <-2 standard deviations (SD) were considered underweight, those >2SD overweight. A MUACZ <-2SD defined acute malnutrition. Among the 782 patients admitted, 415 (53%) were under five. Females were 195 (47%). The mean age was 2.1 years (SD 1.6). The mean body weight was 11kg (SD 5). Considering the WFA, 200 (48%) children were within +2 SD. Children with WFA <-2SD were 92 (29%), those > 2SD were 28 (9%). The frequency of children with WFA <-2SD was higher in boys (p = 0.049). There were no differences in the frequency of children with WFA >2SD based on sex (p = 0.998). WFA decreased as age increased (p = 0.048). MUAC was recorded for 273 (66%) children. The mean MUAC was 14.2mm (SD 2.4). Children with MUAC z-scores within +2SD were 245 (77%). Children <-2SD were 92 (8%). The frequency of children with MUACZ <-2SD was not significantly different based on sex or age (p = 0.125, p = 0.324). The prevalence of malnutrition was moderate in the Nguenyyiel camp. At the same time, the frequency of underweight children was high, particularly among boys (34%) and with increasing age. Key messages • Nutrition remains a problem in refugee camp settings, especially in children. • Ensuring the health of refugees, as vulnerable population, should be a priority for both governments and international organizations.

COVID-19 vaccination campaigns involved massive resources worldwide. However, the disparity in vaccine accessibility is a global issue. The study evaluated whether birthplace is a barrier to healthcare access in a high-income country (HIC). The retrospective cohort study included fully vaccinated adults in the Verona district between 27/12/2020 and 31/12/2021. In Italy, the vaccination was opened at different times according to the risk category. Two multiple linear regression models explored the relationship between (1) days before getting the first shot (IV) and (2) the distance between the municipality of residence and the vaccination point, and age, sex, and Income Group (IG, as defined by the World Bank). Distance (km) was estimated with Q-GIS. Results are reported as Marginal Effect at the Mean (MEM) with a confidence interval of 0.95. 500,001 first doses were included, with a mean age of 47 years (SD = 21) and a mean IV of 47.5 days. 6% of the sample was UpperMiddle (UMIC), 6% Lower-Middle (LMIC), and 0.3% Low-Income Countries (LIC). The mean age was higher for HIC (p < 0.05). Male outnumbered females in LMIC (61%) and LIC (69%), but not in HIC and UMIC (p < 0.001). LMIC and LIC were vaccinated at local facilities (5.8%) and pharmacies (4.2%) more than other groups (3%) and at hub centers less (p < 0.05). The IV was lower for subjects from HIC (p < 0.05) with a MEM of 24 [22; 26] for LIC, 21 [21; 22] for LMIC and 27 [26; 27] for UMIC. Men from UMIC (9 [4; 14]), LMIC (7 [6; 8]) and LIC (4 [3; 5]) had a higher IV than women. All variables being equal, IV decreased with age (MEM -0.48 [-0.49; -0.47]). Distance was shorter for LMIC and LIC than for HIC (p < 0.05). The MEM on the distance of the Income group was -2.8 [-3.5; -2.2] for LIC and -2.0 [-2.1; -1.8] for LMIC (p < 0.05). The Income Group of one’s birth country is a barrier to vaccine accessibility in Italy, a HIC. Hence, we address public health workers to improve access to vaccination in community settings to narrow this gap. Key messages • Birthplace Income Group could be linked to vaccine accessibility in High Income Countries. • Public Health stakeholders should consider community and social barriers to healthcare access when planning health interventions.

No abstract

Non-Communicable diseases are rapidly increasing in low- and middle-income countries. The number of patients with diabetes is estimated to reach 4.7 million in Ethiopia by 2045. Ensuring access to care is critical to improving the management and clinical outcome of diabetic patients. The study describes the characteristics of patients with diabetic ketoacidosis (DKA) and evaluates the relationship between the severity of clinical presentation and the travel time to the hospital. A retrospective cohort study was conducted on the charts of patients admitted for DKA at St. Luke Catholic Hospital (SLCH), Wolisso, Oromia Region (Ethiopia), between 01/01/2021 and 31/08/2021. Demographic and clinical data were collected. Negative binomial regression was used to explore the relationship between the incidence of admissions for DKA and travel time to the hospital. Logistic regression was used to estimate the odds of insulin treatment. Results were presented with 95% confidence intervals. During the study period, 651 patients were admitted, including 77 (11.8%) for DKA (33 females (42.9%) and 44 males (57.1%)), with no differences based on diabetes type (p = 0.258). The mean age was 35 years (IQR 19.0-52.0). Mean BMI was 18.4 kg/m2 (IQR 15.6-19.5), with no differences based on diabetes type (p = 0.639). Cumulative incidence of hospitalizations was significantly correlated to travel time to the hospital (p = 0.039) with an Incident Rate Ratio of 1.01%[1.00-1.02]. The cumulative incidence ranged from 7.0%[4.5-10.3] in Wolisso to 30.8%[14.3-51.8] in Ameya, the most distant district. The relative probability of insulin treatment was higher with increasing time to SLCH (OR 1.11[1.02-1.21] p = 0.027). The hospitalization rate for DKA was significantly correlated with the travel time to the hospital. Access to care is therefore a key factor for health that should be taken into account by improvement programs and the spatial analysis of travel time could help focus on priority areas. Key messages • Spatial analysis can be a robust tool to tailor population healthcare needs on its own topography. • Health policies must consider that accessibility can influence the severity of clinical presentation.