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Cardiovascular medication adherence among patients with cardiac disease: a systematic review
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Abstract<sec><title>Aims

The aim of this study was to critically appraise and synthesize the best available evidence on the effectiveness of interventions suitable for delivery by nurses, designed to enhance cardiac patients' adherence to their prescribed medications.

Background

Cardiac medications have statistically significant health benefits for patients with heart disease, but patients' adherence to prescribed medications remains suboptimal.

Design

A systematic quantitative review of intervention effects.

Data Sources

We conducted systematic searches for English‐language, peer‐reviewed randomized controlled trial publications via Medline, EMBASE, CINAHL, the Cochrane Library, ProQuest, Web of Science and Google Scholar published between January 2004–December 2014.

Review methods

According to pre‐determined inclusion and exclusion criteria, eligible studies were identified and data extracted using a predefined form. Of 1962 identified papers; 14 studies met the study inclusion criteria, were assessed for risk of bias using the Cochrane Collaboration tool; and included in the review.

Results

Study findings were presented descriptively; due to the heterogeneity of studies meta‐analysis was not possible. Included papers described interventions categorized as: (1) multifaceted; and (2) behavioural and educational, comprising: (a) text message and mail message; (b) telephone calls; (c) motivational interviewing and (d) nurse‐led counselling and education.

Conclusions

Substantial heterogeneity limited the robustness of conclusions, but this review indicated that motivational interviewing, education and phone or text messaging appeared promising as means to enhance cardiac medication adherence. Future research should integrate multifaceted interventions that target individual behaviour change to enhance adherence to cardiovascular medications, to build on the beneficial outcomes indicated by this review.

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Fri Nov 01 2013
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2013 International Conference On Research And Innovation In Information Systems (icriis)
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Sun Jun 01 2025
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Iop Conference Series: Earth And Environmental Science
A Review on Induced Electro-Fenton Process for Wastewater Treatment
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Abstract<p>Induced EF is among the most important of advanced oxidation processes (AOPs) It was employed to treat different kinds of wastewater. In the present review, the types and mechanism of induced EF were outlined. Parameters affecting this process have been mentioned with details. These are current density, pH, H<sub>2</sub>O<sub>2</sub> concentration, and time. The application of induced electro Fenton in various sectors of industries like textile, petroleum refineries, and pharmaceutical were outlined. The outcomes of this review demonstrate the vital role of induced EF in treatment of wastewater at high efficiency and low cost in contrast with conventional technique</p> ... Show More
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Mon Jun 22 2026
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The microbiota-gut-brain axis in fibromyalgia: a scoping review
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Objective. Fibromyalgia (FM) is a nociplastic pain condition characterised by widespread pain, fatigue, cognitive dysfunction and multisystem involvement. Increasing evidence implicates the microbiota-gut-brain axis (MGBA) as a potential contributor to its complex pathophysiology. This scoping review maps contemporary evidence (2020–2026) on MGBA alterations in FM across microbial, metabolic, neuroimmune and translational dimensions. Methods. This review was conducted following the Arksey and O'Malley framework, as refined by Levac et al. and the Joanna Briggs Institute, and reported in accordance with PRISMA-ScR guidelines. A systematic search of PubMed/MEDLINE, EMBASE, Web of Science and Scopus identified studies published between Janua

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Fri Jun 20 2014
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Jurnal Teknologi
A Review of Snake Models in Medical MR Image Segmentation
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Developing an efficient algorithm for automated Magnetic Resonance Imaging (MRI) segmentation to characterize tumor abnormalities in an accurate and reproducible manner is ever demanding. This paper presents an overview of the recent development and challenges of the energy minimizing active contour segmentation model called snake for the MRI. This model is successfully used in contour detection for object recognition, computer vision and graphics as well as biomedical image processing including X-ray, MRI and Ultrasound images. Snakes being deformable well-defined curves in the image domain can move under the influence of internal forces and external forces are subsequently derived from the image data. We underscore a critical appraisal

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Publication Date
Sat Aug 30 2025
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Gsc Biological And Pharmaceutical Sciences
The role of environmental stress in fish health: A review
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Fish are regarded as a crucial indicator of alterations in the aquatic environment due to their position at the apex of the food chain. Monitoring these alterations is crucial for identifying modifications in the aquatic ecosystem. The principal elements influencing fish health are temperature, pH, dissolved oxygen, salinity, pesticide contamination, microplastics, and algal presence. These elements substantially influence fish health regarding development, reproduction, respiration, oxygen stress, and the internal enzymes associated with digesting and other metabolic functions. Alterations in global environmental conditions and anthropogenic pollutants result in modifications to fish populations, their lives, and their behavior and

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Publication Date
Tue Mar 15 2016
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Asian Journal Of Applied Sciences
A Review: Training Requirement of Agriculture Extension Officers in Iraq
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Publication Date
Sun Jul 31 2022
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Iraqi Geological Journal
A Review of Historical Studies for Water Saturation Determination Techniques
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Fri Oct 10 2025
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Journal Of Visualized Experiments
Explainable AI for Visual Inspection: A Comparative Analysis and Review
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Explainable Artificial Intelligence (XAI) techniques enable transparency and trust in automated visual inspection systems by making black-box machine learning models understandable. While XAI has been widely applied, prior reviews have not addressed the specific demands of industrial and medical inspection tasks. This paper reviews studies applying XAI techniques to visual inspection across industrial and medical domains. A systematic search was conducted in IEEE Xplore, Scopus, PubMed, arXiv, and Web of Science for studies published between 2014 and 2025, with inclusion criteria requiring the application of XAI in inspection tasks using public or domain-specific datasets. From an initial pool of studies, 75 were included and categorized in

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Using Machine Learning to Control Congestion in SDN: A Review
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Publication Date
Mon Apr 10 2017
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Iraqi Journal Of Pharmaceutical Sciences ( P-issn 1683 - 3597 E-issn 2521 - 3512)
Adherence to American Society of Health-System Pharmacists Surgical Antibiotic Prophylaxis Guideline in Medical City Teaching Hospitals/Baghdad
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Surgical site infections are the second most common type of adverse events occurring in hospitalized patients. Surgical antibiotic prophylaxis refers to the use of preoperative and postoperative antibiotics to decrease the incidence of postoperative wound infections. The objective of this study was to evaluate the antibiotic administration pattern for surgical antibiotic prophylaxis and the adherence to American Society of Health-System Pharmacists surgical antibiotic prophylaxis guideline in Medical City Teaching Hospitals/Baghdad. The medical records of one hundred patients who underwent elective surgical procedures were reviewed. Adherence to the recommendations of American society of health‑system pharmacists guideline was ass

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