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Abstract Background Diarrhoea is one of the leading causes of death among children under 5 years old in the Democratic Republic of the Congo (DRC). Despite positive effects on prognosis, there is limited literature about the healthcare-seeking behaviours of children with diarrhoea, especially in the DRC. This study used the Andersen Behavioural Model, a theoretical framework, which was commonly adopted to study healthcare utilisation, to investigate and predict factors associated with the use of healthcare to treat diarrhoea in the DRC. Methods Data collected from 2626 under-five children with diarrhoea in the last 2 weeks from the Multiple Indicators Cluster Survey conducted by the National Institute of Statistics in 2017–2018, in collaboration with the United Nations Children’s Fund were used in this study. Both direct and indirect relationships among four latent variables: predisposing traits, enabling resources access, health needs, and health services use were measured using the structural equation modelling to test the Andersen behavioural model. The confirmatory Factor Analysis model was also modified based on the DRC context to explore this further. Results The modified model had the goodness of fit index (GFI) of 0.972, comparative fit index (CFI) of 0.953 and RMSEA of 0.043 (95% CI: 0. 040, 0.047). Health needs (especially diarrhoea) had the largest positive direct effect on healthcare utilisation (standardized regression coefficient [β] = 0.135, P

Background: Diarrhoea is one of the leading causes of death among children under 5 years old in the Democratic Republic of the Congo (DRC). Despite positive effects on prognosis, there is limited literature about the healthcare-seeking behaviours of children with diarrhoea, especially in the DRC. This study used the Andersen Behavioural Model, a theoretical framework, which was commonly adopted to study healthcare utilisation, to investigate and predict factors associated with the use of healthcare to treat diarrhoea in the DRC.Methods: Data collected from 2626 under-five children with diarrhoea in the last 2 weeks from the Multiple Indicators Cluster Survey conducted by the National Institute of Statistics in 2017-2018, in collaboration with the United Nations Children's Fund were used in this study. Both direct and indirect relationships among four latent variables: predisposing traits, enabling resources access, health needs, and health services use were measured using the structural equation modelling to test the Andersen behavioural model. The confirmatory Factor Analysis model was also modified based on the DRC context to explore this further.Results: The modified model had the goodness of fit index (GFI) of 0.972, comparative fit index (CFI) of 0.953 and RMSEA of 0.043 (95% CI: 0. 040, 0.047). Health needs (especially diarrhoea) had the largest positive direct effect on healthcare utilisation (standardized regression coefficient [β] = 0.135, P < 0.001), followed by "enabling resources" (β = 0.051, P = 0.015). Health needs also emerged as a mediator for the positive effect of predisposing on utilisation (indirect effect, β = 0.014; P = 0.009).Conclusion: Access to improved water and improved sanitation, as well as socioeconomic factors like household wealth, were significantly associated with health-seeking behaviours for diarrhoea treatment in the DRC. Besides, caregivers who own higher levels of educational attainments were more inclined to have positive health services uses during the treatments. Efforts are needed to enhance the oral rehydration therapy coupled with educating caregivers on its appropriate use. [ABSTRACT FROM AUTHOR]

Severe acute malnutrition (SAM) constitutes about a third of the estimated 8 million deaths in under 5-year-old children, and the World Health Organisation (WHO) protocol of management is used in hospital management. The present study aims to assess adherence to the WHO guidelines of management of SAM in children aged 6-59 months at Kalakla Turkish Hospital in Khartoum, Sudan. Medical records/files of 169 children, mean (standard deviation) age was 18.5 (10.4) months with a range of 6-54 months, admitted to the hospital were reviewed. The male/female ratio was 1.5:1. No records of history and the proportion of missing examination information were >5%. Weight-for-height Z- score was not calculated for 61% of children and other anthropometric measurements were inadequately recorded. Seven classifications of acute malnutrition were recorded instead of two. Oedema, mid-upper arm circumference and Z- score were neglected as tools of classification. Blood sugar, haemoglobin concentration and malaria film/rapid diagnostic tests were the only requested tests in 122 (72.2%), 14 (8.3%) and 49 (29%), respectively. Appropriate treatment was documented in 68 (40.2%) children for intravenous (IV) dextrose for hypoglycaemia, 25 (14.8%) for kangaroo technique, 32 (18.9%) covering with blanket for hypothermia, 106 (62.7%) for F75 milk formula and 115 (68%) for F100 milk formula feeding; and there were no records of receiving oral/IV rehydration. The case fatality rate was 5.9%. Quality of care can be improved by training. Improvement of hospital infrastructure with attention to specifying rooms for management of acute malnutrition will be of benefit to the application of the guidelines.