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Assessment of Nurses' Knowledge About Chest Physiotherapy Techniques for Patients With Corona Virus Disease
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Abstract

Objective(s): A descriptive study aimed to determine nurses' knowledge about chest physiotherapy techniques for patients with Corona virus disease and observe the relationship between nurses' knowledge and their socio-demographic characteristics.

Methodology: The study was directed in isolation units of Al- Hussein teaching hospitals in Thi-Qar, Iraq for the period from June 1st,  2022 to November 27th, 2022. Non- probability (purposively) sample comprised 41 nurses. A questionnaire was used for data collection and it consists of two parts: the first part comprises socio demographic features, the second part includes self- administered questionnaire sheet was related to nurses' knowledge about chest physiotherapy techniques. The reliability and validity of the questionnaire was firm through a pilot study and a panel of (13) experts. The data was analyzed through the use of descriptive and inferential statistical analysis methods. Data were analyzed by using (SPSS) package version 25. Descriptive data through used frequency, percentage, mean of score, standard deviation, also ANOVA and T. test, used  to define the relationship between Socio-demographic features and nurses' knowledge.

Results: The results of the study demonstrate that the majority of the study sample are within the age group of (20-30) years, females, married, have Bachelor in nursing, working for 6-12 hours, with 1 to 5 years of experience, and 56.1% (23/41) who did not participate in training sessions related to COVID-19. Also nurses' knowledge were inadequate, where the assessment shows a clear fail in all answers for 20 questions regarding chest physiotherapy techniques for patient with COVID-19.

Conclusions: The study concluded that the nurses' knowledge toward chest physiotherapy techniques for patients with COVID-19 is inadequate during assessment, also there is not statistical relationship between the nurses' knowledge and socio-demographic characteristics.

Recommendations:  The study recommend for the conduction of health intervention program to raise nurses' knowledge and skills about chest physiotherapy techniques for patients with COVID-19.

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Publication Date
Wed Jan 01 2020
Journal Name
International Journal Of Innovation, Creativity And Change (ijicc)
The relationship between conceptual knowledge and procedural knowledge among students of the mathematics department at the faculty of education for pure sciences/IBn Al-Haitham, university of Baghdad
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Publication Date
Mon Jan 01 2024
Journal Name
Malaysian Journal Of Nursing
Relationship between Cigarette Smoking and Anxiety Level among Nurses
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Background: This study aims to determine whether cigarette smoking and anxiety degrees are related among nurses. Methods: A correlation design study was conducted at Baquba Teaching Hospital in Diyala Governorate, and the study period extended from September 10th, 2023, to January 28th, 2024. A nonprobability purposive sample was used to include 200 nurses working at Baquba Teaching Hospital, Iraq. Data were collected using a self-administered questionnaire from January 10th to February 7th, 2024. There were two components to the study instruments. Initially, the demographic sheet contained the individuals' sociodemographic data. The Taylor manifest anxiety scale is included in the second section. The collected data were analyzed us

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Publication Date
Tue Jun 16 2026
Journal Name
Journal Of Stomatology
Association of modifiable and non-modifiable risk factors with periodontal disease in Iraqi individuals: a retrospective study
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Introduction Periodontal diseases are ranked among the most common health problems affecting mankind. These conditions are initiated by bacterial biofilm, which is further modulated by several risk factors. Objectives To investigate the association of different risk factors with periodontal...

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Publication Date
Fri Mar 01 2024
Journal Name
Baghdad Science Journal
Exploring the Challenges of Diagnosing Thyroid Disease with Imbalanced Data and Machine Learning: A Systematic Literature Review
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Thyroid disease is a common disease affecting millions worldwide. Early diagnosis and treatment of thyroid disease can help prevent more serious complications and improve long-term health outcomes. However, thyroid disease diagnosis can be challenging due to its variable symptoms and limited diagnostic tests. By processing enormous amounts of data and seeing trends that may not be immediately evident to human doctors, Machine Learning (ML) algorithms may be capable of increasing the accuracy with which thyroid disease is diagnosed. This study seeks to discover the most recent ML-based and data-driven developments and strategies for diagnosing thyroid disease while considering the challenges associated with imbalanced data in thyroid dise

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Publication Date
Mon May 01 2017
Journal Name
Journal Of Arab Studies In Education & Psychology (asep)
Procedural Knowledge for the, Mathematics Departments Students, College of Education for Pure Sciences / Ibn al-Haytham, University of Baghdad
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Publication Date
Wed Mar 30 2022
Journal Name
Journal Of Educational And Psychological Researches
Analyzing the content of the chemistry textbook for the third intermediate grade according to the skills of knowledge economy
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The current research aims to identify the extent to which cognitive economics skills are included in the content of the chemistry textbook for the third intermediate grade, and the research sample was represented in the chemistry textbook for the third intermediate grade. A list of knowledge economy skills was prepared (6) main skills (basic skills, communication skills, thinking skills, work skills Group, information-gathering skill, behavioral skills (and (20) sub-skills) (reading, writing, operations, computer skills and employability, oral expression and written communication, dialogue, persuasion, influence and arousal, analysis, problem-solving, decision-making, suggestions and hypotheses and employing them. Controlling, directing

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Publication Date
Thu Jun 01 2023
Journal Name
Bulletin Of Electrical Engineering And Informatics
A missing data imputation method based on salp swarm algorithm for diabetes disease
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Most of the medical datasets suffer from missing data, due to the expense of some tests or human faults while recording these tests. This issue affects the performance of the machine learning models because the values of some features will be missing. Therefore, there is a need for a specific type of methods for imputing these missing data. In this research, the salp swarm algorithm (SSA) is used for generating and imputing the missing values in the pain in my ass (also known Pima) Indian diabetes disease (PIDD) dataset, the proposed algorithm is called (ISSA). The obtained results showed that the classification performance of three different classifiers which are support vector machine (SVM), K-nearest neighbour (KNN), and Naïve B

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Publication Date
Thu Oct 22 2020
Journal Name
2020 4th International Symposium On Multidisciplinary Studies And Innovative Technologies (ismsit)
Artificial Intelligence in Smart Agriculture: Modified Evolutionary Optimization Approach for Plant Disease Identification
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Publication Date
Mon Jan 01 2024
Journal Name
Journal Of Engineering
Experimental Investigation about the Effects of Blockage on Upstream Box Culverts
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This experimental study focuses on scouring in box culvert inlets under steady-state conditions and at different percentages of blockage ranging from 0% to 65%, and also looks at the hydraulics of water in the culvert. The investigation shows that the blockage of the culverts has influenced the scouring pattern at the blocked culverts' entrances. Ten experiments were carried out at the laboratory to see how blockage impacts the scouring pattern upstream of a box culvert during steady flow. Both partially blocked and unblocked cases were implemented in this study. The experimental tests were done until the equilibrium scour occurred, which took about 3.5 hours of water flow to reach equilibrium conditions.  The results r

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Publication Date
Thu Jan 01 2015
Journal Name
ской фонограмматической близости двойственного чис
ABOUT THE CANONICAL PHONOGRAMMATICAL PROXIMITY OF DUALISM IN ARABIC AND RUSSIAN
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