RESUMO
Tanzania is undergoing an epidemiological transition for malaria transmission with some areas of the country having <10% (hypoendemic) and other areas 10% - 50% malaria prevalence (mesoendemic). It is not known whether there is a difference in the quality of malaria case management based on endemicity in Tanzania mainland. We examined the influence of endemicity on the quality of malaria case management at health facilities. We conducted a cross-sectional analysis of 1713 health facilities in Tanzania mainland, using data collected by the National Malaria Control Program through an assessment tool to evaluate quality of malaria case management. The data was gathered from September 2017 to December 2018. Using standard quality factors, mean scores from facilities in the different endemicity regions were compared by a Student's t-test. Simple and multiple linear regression analyses were performed to determine the association between facility performance (score) and endemicity (mesoendemic vs. hypoendemic). Facilities in mesoendemic regions scored higher than those in hypoendemic regions on the overall quality of services [difference in mean scores ([Formula: see text]) = 2.52; (95% Confidence Interval (CI) 1.12, 3.91)], site readiness [[Formula: see text] = 2.97; (95% CI 1.30, 4.61)], availability of malaria reference materials [[Formula: see text] = 4.91; (95% CI 2.05, 7.76)], availability of Health Management Information System tools [[Formula: see text] = 5.86; (95% CI 3.80, 7.92)] and patient satisfaction [[Formula: see text] = 6.61; (95% CI 3.75, 9.48)]. Predictors associated with lower facility scores included; being located in a hypoendemic region [ß: -2.49; (95% CI -3.83, -1.15)] and urban area [ß: -3.84; (95% CI -5.60, -2.08)]. These findings highlight the differences in quality of malaria case management based on endemicity, but there is still a need to target improvement efforts in underperforming facilities, regardless of endemicity.
RESUMO
INTRODUCTION: childhood undernutrition is one of the leading causes of morbidity and mortality in children below five years of age especially in developing countries like Tanzania, particularly in rural area. Inappropriate child caring and feeding practices have been strongly associated with it. Many actions have been taken to reduce prevalence of undernutrition in children in Ngorongoro district, however, the problem persist. This study identified risk factors associated with undernutrition in children under-five years of age in Ngorongoro district, Arusha region. METHODS: a health facility-based unmatched case-control study was conducted with 400 (100 cases and 300 controls) children aged 6-59 months. Cases included children with undernutrition according to the WHO anthropometric indicators. Controls were children within the normal range of these indicators. Both cases and controls, were obtained from children attending the Reproductive and Child Health (RCH) for assessment of growth and development or admitted in pediatric ward. A questionnaire was used to collect demographic characteristics, child health and caring practices and environmental factors. Height, weight and Mid Upper Arm Circumference (MUAC) were measured using standard approaches. We employed logistic regression analysis to identify significant risk factors for undernutrition. RESULTS: undernutrition was associated with young age of mothers/caregivers (adjusted Odds Ratio (aOR)=38.8, 95% CI: 15.38-59.03.); early age of initiation complementary foods (aOR=13.6, 95%CI: 3.15-59.06); a child having diarrhoea in past one month (aOR=4.0; 95%CI: 1.76-12.85); large family size (aOR=6.1, 95% CI: 2.16-16.90); low frequency of feeding (aOR=3.9, 95%CI: 1.59-9.58); low birth weight (aOR:=7.3, 95%: CI: 1.15-46.70); and source of drinking water; well (aOR=16.3, 95%: CI: 1.81-147.05) and surface water (aOR=16.18, 95%CI: 1.85-141.71). CONCLUSION: household and individual characteristics of the children and mother/caregiver are important predictors of undernutrition in this community. Tailored interventions, instead of blanket approaches, should be designed to mitigate and eliminate childhood undernutrition in Ngorongoro.