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1.
Ethiop J Health Sci ; 32(2): 423-432, 2022 Mar.
Artigo em Inglês | MEDLINE | ID: mdl-35693571

RESUMO

Background: In critically ill patients, enteral nutrition is recommended as a route for nutrient delivery. Nurses' knowledge and practice of enteral nutrition influence patients' clinical outcomes. Therefore, this study sought to assess nurses' knowledge, practice, and associated factors regarding enteral nutrition in adult intensive care unit patients in public hospitals in Addis Ababa, Ethiopia. Methods: A cross-sectional study design was used to collect data from 196 nurses working in public hospitals in Addis Ababa from April 11 to April 30, 2020. The data were entered into Epi Data version 3.1 and analyzed with SPSS version 21. The correlation between independent variables and dependent variables was estimated using bivariate and multivariate logistic regression at a 95% confidence level. Results: The level of inadequate knowledge and poor practice of nurses relating to enteral nutrition was 67.7% and 53.8%, respectively. Bachelor's degree holders were less likely to be knowledgeable (AOR= 0.24, 95% CI: (0.61, 0.93)). Nurses' practice about enteral nutrition was significantly associated with nurses' age (AOR = 0.023, 95 % CI: (0.001,0.52), nurses receiving training on enteral nutrition (AOR = 1.951, 95 % CI: (0.06, 0.60)), and nurses from ICUs having a guideline and protocol on enteral feeding practice (AOR = 3.401, 95 % CI: (1.186, 9.789). Conclusions: In the study, it was revealed that a substantial proportion of nurses had inadequate knowledge of enteral nutrition and practiced poor enteral nutrition.


Assuntos
Competência Clínica , Nutrição Enteral , Adulto , Estudos Transversais , Nutrição Enteral/métodos , Etiópia , Conhecimentos, Atitudes e Prática em Saúde , Hospitais Públicos , Humanos , Unidades de Terapia Intensiva , Inquéritos e Questionários
2.
Int J Equity Health ; 19(1): 14, 2020 01 28.
Artigo em Inglês | MEDLINE | ID: mdl-31992299

RESUMO

INTRODUCTION: Adequate dietary diversity is vital for the survival, growth and development of infants and children. Inadequate dietary diversity is the major cause of micronutrient deficiency in Sub-saharan Africa, including Ethiopia, where only less than one-fourth of the children aged 6-23 months obtain adequate diversified diet. Thus country implemented a strategy known as the Sustainable Undernutrtion Reduction (SUR) programs to alleviate the problem. However, empirical evidences are scarce on the impact of the program on children aged 6-23 months. Therefore, this study aimed to compare the level of dietary diversity among children aged 6-23 months in districts covered and not covered by SURE program in West Gojjam zone. METHODS: A community based comparative cross-sectional study was conducted in three districts of West Gojjam zone, Ethiopia, from February 29 to April 20, 2019. A total of 832 mother and child pairs were selected by the simple random sampling technique. A pretested and structured interviewer-administered questionnaire was used to collect data. A binary logistic regression model was fitted to identify factors associated with dietary diversity. Crude odds and adjusted odds ratios with 95% confidence intervals (CI) were calculated to assess the strength of associations and significance of the identified factors for dietary diversity score. RESULT: The overall proportion of adequate dietary diversity among children aged 6-23 months was 29.9% (95% CI: 27.0-33.0), whereas in SURE covered and uncovered districts it was 33.4% (95%CI: 29.0-38.and 26.4%(95% CI: 22.0, 31.0), respectively. ANC (Antenatal care) (AOR = 1.7; 95% CI: 1.16, 2.55) and postnatal care services (AOR = 2.1; 95% CI: 1.38, 3.28), participating in food preparation programs (AOR = 1.9; 95% CI: 1.19, 2.96), GMP (AOR = 2.74,95%CI:1.80, 4.18), vitamin A supplementation (AOR = 2.10,95%CI:1.22, 3.61) and household visits by health extension workers (AOR = 2.0; 95% CI: 1.25, 3.21) were significantly associated with dietary diversity. CONCLUSION: The proportion of adequate dietary diversity was higher among children in the program than those out of the program. ANC visits, PNC follow-ups, women's participating in food preparation programs and household visits by health extension workers were significantly associated with dietary diversity. Therefore, and strengthening and scaling up the program to non covered districts and providing health and nutrition counseling on Infant and Young Child Feeding (IYCF) during ANC and PNC services are recommended for achieving the recommended dietary diversity.


Assuntos
Dieta/estatística & dados numéricos , Transtornos da Nutrição do Lactente/prevenção & controle , Estudos Transversais , Etiópia , Humanos , Lactente , Avaliação de Programas e Projetos de Saúde
3.
PLoS One ; 13(3): e0193620, 2018.
Artigo em Inglês | MEDLINE | ID: mdl-29561868

RESUMO

Crop cultivar identification is fundamental for agricultural research, industry and policies. This paper investigates the feasibility of using visible/near infrared hyperspectral data collected with a miniaturized NIR spectrometer to identify cultivars of barley, chickpea and sorghum in the context of Ethiopia. A total of 2650 grains of barley, chickpea and sorghum cultivars were scanned using the SCIO, a recently released miniaturized NIR spectrometer. The effects of data preprocessing techniques and choosing a machine learning algorithm on distinguishing cultivars are further evaluated. Predictive multiclass models of 24 barley cultivars, 19 chickpea cultivars and 10 sorghum cultivars delivered an accuracy of 89%, 96% and 87% on hold-out sample. The Support Vector Machine (SVM) and Partial least squares discriminant analysis (PLS-DA) algorithms consistently outperformed other algorithms. Several cultivars, believed to be widely adopted in Ethiopia, were identified with perfect accuracy. These results advance the discussion on cultivar identification survey methods by demonstrating that miniaturized NIR spectrometers represent a low-cost, rapid and viable tool. We further discuss the potential utility of the method for adoption surveys, field-scale agronomic studies, socio-economic impact assessments and value chain quality control. Finally, we provide a free tool for R to easily carry out crop cultivar identification and measure uncertainty based on spectral data.


Assuntos
Cicer/anatomia & histologia , Hordeum/anatomia & histologia , Sorghum/anatomia & histologia , Espectroscopia de Luz Próxima ao Infravermelho/métodos , Máquina de Vetores de Suporte , Cicer/classificação , Análise Discriminante , Etiópia , Hordeum/classificação , Humanos , Interpretação de Imagem Assistida por Computador/métodos , Sorghum/classificação
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