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Determinants of national drug products acceptance across patients, pharmacists, and manufacturers: A mixed method study
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Introduction

The national pharmaceutical industry is pivotal for both the health sector and the national economy. This study aims to identify determinants of national drug products acceptance. The objectives of this study were to quantitatively measure the level of patient and community pharmacist acceptance of national drug products available in community pharmacies and to qualitatively explore the barriers facing national pharmaceutical companies and investigate the suggested solutions.

Methods

This cross-sectional study used an explanatory mixed method design. It was conducted in Baghdad, Iraq from July through October 2018. The study included two surveys (one for pharmacy customers and another for pharmacists) and thereafter semi-structured interviews of national pharmaceutical company owners/managers. The interview guide was developed based on preliminary quantitative results. Thematic analysis was used to analyze the interview findings.

Results

We received 123 patient surveys and 125 usable pharmacist surveys. We conducted seven interviews and stopped when we reached saturation. Integrated qualitative and quantitative findings showed that the main determinants of national drug product acceptance are product characteristics (namely price, packaging, brand, and availability), healthcare providers effect on product promotion and perceived effectiveness, and regulations enforced by authorities mainly the Ministry of Health.

Conclusions

Product price was the number one modulating factor in patient decision-making when purchasing a drug product. It appears that physicians and pharmacists are playing negative or at least neutral role in promoting national drug products and sustaining patients trust in national drug products. Current policies appeared to slow national drug industry growth and limit manufacturers’ ability to expand their share in the market. Manufacturer marketing efforts can help in gaining physicians and pharmacists support of the national drug product. Reforms to current drug policy and regulations were proposed by manufacturers.

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Publication Date
Sun Oct 22 2023
Journal Name
Iraqi Journal Of Science
Effect of Methotrexate Drug on Some Parameters of Kidney in Newborn mice
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Thirty pregnant albino mice with average body weight of 25-30gm and 8-14 weeks old were used to investigate the toxicity of the oral administration of anticancer methotrexate on kidneys after birth. Pregnant were received (single dose) of drug at different days of gestation and were divided into three groups (10mice / group), control groups were administered distilled water, the two remaining groups were administered by 2.5 and 7.5 mg/kg body weight of methotrexate. The changes in kidneys of newborns revealed significant (p<0.05) decrease in kidneys weights, kidneys lengths, pelvises lengths, and glomeruli diameters. The increase in concentration of methotrexate has increasing significant effect on kidneys of embryo and newborns.
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Publication Date
Sat Jan 02 2021
Journal Name
International Journal Of Pharmaceutical Research
Detection of Kaposi’s Associated Herpesvirus in Saliva of Drug Related Immunosupressed Patient
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Publication Date
Tue Jun 30 2020
Journal Name
Journal Of Economics And Administrative Sciences
Comparison of weighted estimated method and proposed method (BEMW) for estimation of semi-parametric model under incomplete data
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Generally, statistical methods are used in various fields of science, especially in the research field, in which Statistical analysis is carried out by adopting several techniques, according to the nature of the study and its objectives. One of these techniques is building statistical models, which is done through regression models. This technique is considered one of the most important statistical methods for studying the relationship between a dependent variable, also called (the response variable) and the other variables, called covariate variables. This research describes the estimation of the partial linear regression model, as well as the estimation of the “missing at random” values (MAR). Regarding the

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Publication Date
Tue Aug 02 2022
Journal Name
Journal Of Legal Sciences
Jurisprudence and its controls - A Comparative study
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Judicial jurisprudence is one of the important legal solutions to address the shortcomings of legislation. Throughout its long history, human societies have known many cases in which the judge finds himself facing a legislative vacuum in addition to civil legal texts that are difficult for the judge to implement due to ambiguity or contradiction, which requires diligence. To rule on resolving disputes before him in order not to deny justice, but the judge in his jurisprudence was not absolute, but rather bound by certain controls represented by observing the wisdom of legislation on the one hand and taking into account the nature of the texts on the other side, and from here this research came to shed light on the jurisprudence and its cont

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Publication Date
Fri Jul 02 1999
Journal Name
Iraqi Journal Of Science
A new proposal method for sampling and explosion of the phosphatic rocks in the Akkashat Mine, Western desert, Iraq
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Publication Date
Sun Apr 30 2023
Journal Name
Iraqi Journal Of Science
Numerical and Analytical Solutions of Space-Time Fractional Partial Differential Equations by Using a New Double Integral Transform Method
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  This work discusses the beginning of fractional calculus and how the Sumudu and Elzaki transforms are applied to fractional derivatives. This approach combines a double Sumudu-Elzaki transform strategy to discover analytic solutions to space-time fractional partial differential equations in Mittag-Leffler functions subject to initial and boundary conditions. Where this method gets closer and closer to the correct answer, and the technique's efficacy is demonstrated using numerical examples performed with Matlab R2015a.

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Publication Date
Fri Jun 24 2022
Journal Name
Iraqi Journal Of Science
Potential Using of Mixed Microalgae in the Bioremediation of Domestic Effluents
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Microalgae widely used for bioremediation of inorganic (NH4and PO4) nutrients as single isolates. This study aims to use a mix microalgae isolated from Dijlah river for bioremediation of municipal waste water .The experiments had been start with two different concentrations of nutrients. NH4-N values were 23.4 and 31.7mg/l, phosphorus PO4-P 6.7and 10.7 mg/ l and BOD5 were 66 and 83 mg/l. both cycles of treatment showed complete removal for NH 4-N and PO4-P levels after treatment were 1.7 and 0.7 mg/l for both of treatment cycle .Biological oxygen demand reduced to lowest value were18.9 in 2nd cycle while in 1st cycle of treatment reduced to21.3mg/l.The results showed that mix microalgae have the ability to remove nutrients and organic po

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Publication Date
Sat Apr 01 2023
Journal Name
International Journal Of Electrical And Computer Engineering
Intrusion detection method for internet of things based on the spiking neural network and decision tree method
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The prevalence of using the applications for the internet of things (IoT) in many human life fields such as economy, social life, and healthcare made IoT devices targets for many cyber-attacks. Besides, the resource limitation of IoT devices such as tiny battery power, small storage capacity, and low calculation speed made its security a big challenge for the researchers. Therefore, in this study, a new technique is proposed called intrusion detection system based on spike neural network and decision tree (IDS-SNNDT). In this method, the DT is used to select the optimal samples that will be hired as input to the SNN, while SNN utilized the non-leaky integrate neurons fire (NLIF) model in order to reduce latency and minimize devices

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Publication Date
Sat Apr 01 2023
Journal Name
International Journal Of Electrical And Computer Engineering (ijece)
Intrusion detection method for internet of things based on the spiking neural network and decision tree method
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The prevalence of using the applications for the internet of things (IoT) in many human life fields such as economy, social life, and healthcare made IoT devices targets for many cyber-attacks. Besides, the resource limitation of IoT devices such as tiny battery power, small storage capacity, and low calculation speed made its security a big challenge for the researchers. Therefore, in this study, a new technique is proposed called intrusion detection system based on spike neural network and decision tree (IDS-SNNDT). In this method, the DT is used to select the optimal samples that will be hired as input to the SNN, while SNN utilized the non-leaky integrate neurons fire (NLIF) model in order to reduce latency and minimize devices

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Crossref (5)
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Publication Date
Sun Mar 01 2015
Journal Name
Baghdad Science Journal
Study of the Toxic effect of new Cadmium ( II) complex [ CdL2]. 1/2H2O on GPT and ALP activity in some organs of female mice comparable with anitumor drug Cyclophosphamide (CP)
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Cadmium has been known to be harmful to human healthy , manily Via contaminated drinking water , food supplies , tobacco and industrial pollutant . The aim of this study was to determine the toxicity of new Cadmium (II) complex ( Bis[ 5- ( P- nitrophenyl ) – ? 4 – Phenyl- 1,2,4- triazole -3- dithiocarbamatohydrazide] cadmium (II) Hydra ( 0.5) and compare it with anticancer drug cyclophosphamide ( CP) in female albino mice . This complex causes to several alterations in Enzymatic activity of Glutamate Pyruvate Transaminase (GPT) and Alkaline Phosphatase (ALP ) in three organs after the treatment of mice with different doses of a new cadmium (II) complex ( 0.09 / 0.25ml , 0.18/ 0.5ml and 0.25mg /0.7 ml /30 gm of mous

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