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Pharmacist Intervention to Address Drug Related Problems in Patients with Decompensated Liver Cirrhosis
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Background: Patients with decompensated cirrhosis are often given therapeutic and prophylactic drugs. Polypharmacy raises both the likelihood of prescription errors and the complications associated with drugs. Clinical pharmacists are excellent at recognizing, addressing, and preventing clinically significant drug-related problems.

Objectives: Identification types of pharmacist interventions to address drug-related problems in patients with decompensated cirrhosis and assess the acceptance/implementation of these recommendations. And identify patient factors associated with accepting pharmacist recommendations.

Subjects and Methods: Prospective, interventional, clinical study for 80 hospitalized decompensated cirrhosis patients was conducted at Baghdad Teaching Hospital and lasted for four months, from the first of December 2021 until the last of March 2022. The study involved two phases, the first one was observational to identify drug-related problems and classify them according to the Pharmaceutical Care Network Europe classification version 9.1,   and the second phase was interventional to increase the awareness of patients and health care providers about those problems and to propose a proper solution for each one.

Results: The most frequent pharmacist intervention was proposed to the prescriber (54.7%), followed by speaking to the caregiver (37.7%). Acceptance and full implementation were highly observed in 71.1% of the intervention. There is a significant  association between occurring ascites and bleeding in patients and accepting/implementing pharmacist recommendations

Conclusions: Patients with decompensated liver cirrhosis have a significant prevalence of drug-related problems. Clinical pharmacists are excellent at recognizing drug-related problems and reducing their incidence, and their interventions were well accepted.

 

 

 

 

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Mon Jan 01 2024
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An Image Processing Algorithm to Address the Problem of Stains Merge on Water Sensitive Papers and Its Impact on the Evaluation of Spray Quality Indicators
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Publication Date
Tue Nov 06 2018
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Iraqi National Journal Of Nursing Specialties
Correlation between Thyroid-related Hormones and Preeclampsia
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Objectives: In order to highlight the TSH and thyroid hormones levels in preeclamptic and healthy pregnant
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Methodology: Ninety patients with preeclampsia were divided into two groups according to the severity of
disease; those with mild disease (37 patients) and those with a severe form (53 patients). A separate group of 30
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Publication Date
Thu Feb 09 2017
Journal Name
International Journal Of Pharmacy Practice
Factors influencing the degree of physician–pharmacist collaboration within Iraqi public healthcare settings†
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Abstract<sec> <title>Objectives

Medication safety and effectiveness can be improved through interprofessional collaboration. The goals of this study were to measure the degree of physician–pharmacist collaboration within Iraqi governmental healthcare settings and to investigate factors influencing this collaboration.

Methods

This cross-sectional study was conducted in Al-Najaf Province using the Collaborative Working Relationship Model and Physician–Pharmacist Collaborative Instrument (PPCI). Four phar

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Thu May 02 2019
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Reconstruction plate-related complications in mandibular continuity defects
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Publication Date
Mon Feb 28 2022
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The Counseling Needs of Behavioral Problems among Students with Academic Learning Disabilities
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Learning Disabilities are described as a hidden and puzzling disability. Children with these difficulties have the potential to hide weaknesses in their performance because they are a homogenous group of disorders that consist of obvious difficulties in acquiring and using reading, writing, Mathematical inference. Thus, the research aims to identify the disabilities of academic learning in (reading, writing, mathematics), identify the problems of behavior (general, motor, social). Identify the relationship among behaviour problems. The research also aims to identify the counseling needs to reduce the behavioral problems. The researcher adopted the analytical descriptive method by preparing two main tools for measuring learning disabiliti

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Publication Date
Tue Feb 26 2019
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Journal Of Contemporary Medical Sciences
Demographic and clinical profiles of female patients diagnosed with breast cancer in Iraq
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Thu Mar 09 2017
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Morphological and Histological Structure of the Liver in Budgerigar (Melopsittacus undulatus )
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Publication Date
Sat Jun 30 2012
Journal Name
Al-kindy College Medical Journal
Autonomic Dysfunction in Interictal Period in Patients with Migraine
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Background: migraine is a chronic neurovascular disorder characterized by intermittent attacks of sever headache with or without aura that can include various combinations of neurological, gastrointestinal tract (G.I.T), and autonomic changes, without evidence of primary structural abnormalities. The Autonomic nervous system involvement suggested by many symptoms and signs including nausea, diarrhea, constipation, coldness in the extremities, paroxysmal tachycardia and chest pain.
Objectives: To evaluate autonomic functions in patients with migraine and to clarify the autonomic dysfunction weather its sympathetic, parasympathetic, or combined. Also to assess the severity of this dysfunction and its relation to age, gender and type of

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Publication Date
Tue Oct 20 2020
Journal Name
Ibn Al-haitham Journal For Pure And Applied Sciences
Comparison of Artificial Neural Network and Box- Jenkins Models to Predict the Number of Patients with Hypertension in Kalar
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    Artificial Neural Network (ANN) is widely used in many complex applications. Artificial neural network is a statistical intelligent technique resembling the characteristic of the human neural network.  The prediction of time series from the important topics in statistical sciences to assist administrations in the planning and make the accurate decisions, so the aim of this study is to analysis the monthly hypertension in Kalar for the period (January 2011- June 2018) by applying an autoregressive –integrated- moving average model  and artificial neural networks and choose the best and most efficient model for patients with hypertension in Kalar through the comparison between neural networks and Box- Je

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