End Stage Renal Disease is a well-known global public health problem. Maintenance hemodialysis is considered a life-saving treatment for patients with such disease. This treatment method that requires patients to be adherent to hemodialysis attendance, dietary and fluid recommendations as well as adherence to prescribed medications to ensure success. The aim of the current study was to assess adherence, perception, and counseling among hemodialysis patients to different modalities of treatment (fluid restriction, dietary recommendations, medications, and hemodialysis schedules). A cross-sectional study carried out on hemodialysis patients who attended to the dialysis centers at al- Karama teaching hospital and Madinat Al- Imamain Al- Kadhimain teaching hospital. The Arabic version of the “ end stage renal disease-adherence questionnaire ” was used in assessing adherence, perception, and counseling. The number of recruited patients were 200 adult patients (113 men and 87 women). The average of the total adherence score lies within the moderate adherence (984.9 ±174.2). Patients adherence to the hemodialysis session was good as representing by high scores of adherence for (hemodialysis-attendance, episode of hemodialysis-shortening and duration of hemodialysis-shortening) while the lowest adherence score (126.0 out of 200) was for following the fluid restriction. In terms of adherence categories, the majority (61%) of the patients had good adherence, 33.0% had moderate adherence with 6% had poor adherence. Age had significant positive association with the total adherence score. All patients perceived their hemodialysis management as highly/very important. On the other hand, some patients perceived their adherence to the recommended diet as moderately (7%) or less important (7%). Regarding the frequency of counseling received by patients for different treatment modalities. The negative answers represented 58.5% of answers about the how important is to follow a proper diet, and 25.0% of answers about the importance of taking prescribed medications as ordered. Accordingly, the overall adherence of hemodialysis patients to different treatment modalities was less than optimum with fluid and diet adherence representing most challenging tasks in the health care of hemodialysis patients.
The relation between faithful, finitely generated, separated acts and the one-to-one operators was investigated, and the associated S-act of coshT and its attributes have been examined. In this paper, we proved for any bounded Linear operators T, VcoshT is faithful and separated S-act, and if a Banach space V is finite-dimensional, VcoshT is infinitely generated.
In this paper, the Normality set will be investigated. Then, the study highlights some concepts properties and important results. In addition, it will prove that every operator with normality set has non trivial invariant subspace of .
Vol. 6, Issue 1 (2025)
Background: Kinesiologists, Physical Anthropologists, and Anatomists have all long been captivated by the structure and development of the superficial forearm flexor, the Palmaris longus.
Objective: To study the effect of Palmaris Longus on certain handwriting skills.
Subjects and Methods: Three Palmaris Longus occurrence tests were conducted on 200 students (100 males and 100 females) affiliated to Colleges of Medicine of Baghdad University then the participants were tested for certain handwriting skills to correlate the presence of Palmaris Longus in the dominant side with handwriting.
Results: 89% of all subject
... Show MoreTolerance and its impact on building society
This paper deal with the estimation of the shape parameter (a) of Generalized Exponential (GE) distribution when the scale parameter (l) is known via preliminary test single stage shrinkage estimator (SSSE) when a prior knowledge (a0) a vailable about the shape parameter as initial value due past experiences as well as suitable region (R) for testing this prior knowledge.
The Expression for the Bias, Mean squared error [MSE] and Relative Efficiency [R.Eff(×)] for the proposed estimator are derived. Numerical results about beha
... Show MoreDetermining the face of wearing a mask from not wearing a mask from visual data such as video and still, images have been a fascinating research topic in recent decades due to the spread of the Corona pandemic, which has changed the features of the entire world and forced people to wear a mask as a way to prevent the pandemic that has calmed the entire world, and it has played an important role. Intelligent development based on artificial intelligence and computers has a very important role in the issue of safety from the pandemic, as the Topic of face recognition and identifying people who wear the mask or not in the introduction and deep education was the most prominent in this topic. Using deep learning techniques and the YOLO (”You on
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