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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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Publication Date
Mon Apr 01 2019
Journal Name
Journal Of Educational And Psychological Researches
The sense of coherence among individuals with physical disabilities
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            The aim of the current research is to measure the sense of coherence among individuals with physical disabilities. The researcher adopted a scale of (29) paragraphs spread over three domains designed by Antonovski (1993) to measure the sense of coherence. A sample of (210) disabled individuals was chosen randomly to collect the required data. The data were analyzed using the statistical package for social sciences (SPSS). The result showed a lack of sense of coherence among the sample.

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Publication Date
Thu Sep 26 2019
Journal Name
Al-kindy College Medical Journal
Clinical Significance of Blastocystis Sp. among Children with Leukemia
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Background: Blastocystis spp. distributes world widely and the genus Blastocystis include many subtypes that are isolated from human intestinal tract. It is considered the most common parasite detected in human being.

Objectives: To evaluate the incidence of Blastocystis spp. among leukemic children, to find out its association with the presence of symptoms (diarrhea and abdominal pain), and to assess the efficacy of different staining methods in detection of Blastocystis spp. 

Type of the study: cross-sectional study.

Method: 103 children were enrolled in this study, 53 leukemic patients and 50 healthy con

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Publication Date
Sun Apr 03 2016
Journal Name
Journal Of Educational And Psychological Researches
Egocentrism & its Relationship with Academic Adaptation among University students
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The research aimed to identifying :

  1. Egocentrism of the university students .
  2. Academic adaptation of the university student.
  3. Differences in Egocentrism according to the both variable ( Gender and Specialization ) of the university student.
  4. Differences in academic adaptation according to the both variable ( Gender and Specialization ) of the university student .
  5. The Contribution of academic adaptation to Egocentrism of the university student .

The sample of the research consisted of ( 400 ) students.      
Tow instruments have been us

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Publication Date
Fri Dec 15 2023
Journal Name
Journal Of Baghdad College Of Dentistry
Effect of tea tree oil on candida adherence and surface roughness of heat cure acrylic resin
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Background: Denture cleansing was an important step that could prevent the spread of infection and improve a patient's health, the durability of the dentures, and the overall quality of life; therefore, it was necessary to choose a suitable cleanser that, in addition to being effective, did not have an unfavorable effect on the qualities of the denture base resin itself when used for an extended period. For this purpose, this study aimed to evaluate the effect of tea tree oil (TTO) on Candida albicans adhesion and the surface roughness property of poly(methyl methacrylate) denture material after immersion in TTO. Methods: A total of 55 heat-cured acrylic resin specimens were used for C. albicans adherence and surface roughness tests. The

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Publication Date
Sat Jan 01 2022
Journal Name
Chemical Methodologies
Determination of the Quantity of Losartan Active Ingredient in the Medication Formulations via Turbidimetric-Flow Injection Technique
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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
Wed Jun 03 2020
Journal Name
Journal Of Applied Mathematics
Order and Chaos in a Prey-Predator Model Incorporating Refuge, Disease, and Harvesting
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In this paper, a mathematical model consisting of a prey-predator system incorporating infectious disease in the prey has been proposed and analyzed. It is assumed that the predator preys upon the nonrefugees prey only according to the modified Holling type-II functional response. There is a harvesting process from the predator. The existence and uniqueness of the solution in addition to their bounded are discussed. The stability analysis of the model around all possible equilibrium points is investigated. The persistence conditions of the system are established. Local bifurcation analysis in view of the Sotomayor theorem is carried out. Numerical simulation has been applied to investigate the global dynamics and specify the effect

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Publication Date
Tue Sep 10 2019
Journal Name
Periodicals Of Engineering And Natural Sciences (pen)
A classification model on tumor cancer disease based mutual information and firefly algorithm
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Publication Date
Sun Jan 01 2023
Journal Name
مجلة ميسان للدراسات الأكاديمية
Bond Strength Of 3D Printed Acrylic Resin With Silicone Soft Liner After Ethyl Acetate Surface Treatment:, A Review Of Literature
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Publication Date
Sun Oct 04 2026
Journal Name
Journal Of Baghdad College Of Dentistry
Stem cells a novel approach to periodontal regeneration (A review of literature)
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In this review of literature, the light will be concentrated on the role of stem cells as an approach in periodontal regeneration.

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