Objective: impact of the education program for nurses' knowledge toward children under mechanical
ventilation, and to find out the relationships between nurses' knowledge and their general information.
Methodology: Quasi experimental study was carried out at the respiratory care units of Baghdad
Pediatric Teaching Hospitals started from February15th, until September 26th, 2011, A purposive (nonprobability)
sample of (23) nurses working in the respiratory care units, were selected from Children
Welfare and Pediatric Central Teaching Hospitals. The data were gathered through using of the
constructed multiple choice questionnaire using to evaluate the nurses knowledge using checklist, The
questionnaire consists of two parts the first one is general information data and the second part is
nurses' knowledge multiple choice form used pre test before application of the program and post test
after the application of the program. Descriptive statistical analysis procedure (frequency, and mean of
score and standard deviation) and inferential analysis procedure (person correlation coefficient and ttest
and ANOVA).
Results: The findings of the study indicated that nurses have moderate knowledge in pre test. But post
evaluation revealed high level of knowledge among nurses at RCU toward children under mechanical
ventilation. The program reflects an effect on nurses' knowledge. There were no statistical significant
association between nurses' knowledge and their general information.
Recommendations: The study recommended that great focusing should be directed toward the
educational aspects at respiratory care units by providing educational posters, guidelines, pamphlets
and manuals to enhance nurses' knowledge at RCU.
This paper deals with, Bayesian estimation of the parameters of Gamma distribution under Generalized Weighted loss function, based on Gamma and Exponential priors for the shape and scale parameters, respectively. Moment, Maximum likelihood estimators and Lindley’s approximation have been used effectively in Bayesian estimation. Based on Monte Carlo simulation method, those estimators are compared in terms of the mean squared errors (MSE’s).
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