BackgroundStunting has been the most pressing public health problem throughout the developing countries. It is the major causes of child mortality and global disease burden, where 80 % of this burden is found in developing countries. In the future, stunting alone would result in 22 % of loss in adult income. About 40 % of children under five-years were stunted in Ethiopia. In the country, about 28 % of child mortality is related to undernutrition. Thus, the aim of this study was to determine the prevalence and determinants of stunting among preschool children in Dembia district, Northwest Ethiopia.MethodsA community based cross–sectional study was carried out in Dembia district, Northwest Ethiopia from January 01 to February 29, 2015. A multi-stage sampling followed by a systematic sampling technique was employed to reach 681 mother-child pairs. A pretested and structured questionnaire was used to collect data. After exporting anthropometric data to ENA/SMART software version 2012, nutritional status (stunting) of a child was determined using the WHO Multicenter Growth Reference Standard. In binary logistic regression, a multivariable analysis was carried out to identify determinants of stunting. The Adjusted Odds Ratio (AOR) with a 95 % confidence interval was computed to assess the strength of the association, and variables with a P-value of <0.05 in multivariable analysis were considered as statistically significant.ResultsA total 681 of mother-child pairs were included in the study. The overall prevalence of stunting was 46 % [95 % CI: 38.7, 53.3 %]. In multivariable analysis, the odds of stunting was higher among children whose families had no latrine [AOR = 1.6, 95 % CI: 1.1, 2.2)]. Likewise, children living in household with more than four family size [AOR =1.4, 95 % CI: 1.1, 1.9)] were more likely to be stunted.ConclusionsThis study confirms that stunting is a very high public health problem in Dembia district. The family size and latrine availability were significantly associated with stunting. Hence, emphasis should be given to improve the latrine coverage and utilization of family planning in the district.

Background:Collecting quality and timely healthcare data is crucial to improve health service performance. Objective:This study aimed at assessing data management practice and associated factors among health extension workers in East Gojjam zone, Northwest Ethiopia. Materials and Methods:An institution based cross-sectional study was conducted in 2014 among 302 health extension workers. Data were collected using a selfadministered questionnaire and analyzed using SPSS version 20. The study objectives were described by descriptive statistics, and factors in data management were identified by multivariable logistic regression analysis. Results:A total of 302 health extension workers participated in the study. About 47.4% and 53.3% of respondents had good data management knowledge and practice, respectively. Inaccessibility of transportation, communication services, reference materials, and data collection/reporting formats were the mentioned challenges. Workload, data management knowledge, supervision, urban residence, reference materials access and clarity of formats were positively associated with better data management practice (p <0.05). Conclusion:Based on this study, the data management practice of health extension workers was low. Factors for low data management practice were organizational and technical related. Addressing knowledge gaps through professional development and improving supportive supervision are crucial to solve the problem.

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