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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 pharmacists distributed paper surveys with a 7-point Likert scale to a convenience sample of physicians and pharmacists working in seven public hospitals and two outpatient clinics. The questionnaire (in English) covered individual (demographics, practising years and academic affiliation), context (practice setting) and PPCI characteristics (trustworthiness, role specification and relationship initiation) in addition to collaborative care items: one for pharmacists and one for physicians. Separate multiple regressions were used to assess the association of the factors with collaborative care for physicians and for pharmacists.

Key findings

Seventy-seven physicians and 86 pharmacists returned usable surveys (81.5% response rate). The majority of physicians were male (84%), while the majority of pharmacists were female (58%). The mean age of the physicians was (37.99 years) older than that of the pharmacists (30.35 years). The physicians had a longer period of practice (11.32 years) than pharmacists (5.45 years). Most (90%) of the providers were practising in hospitals. Pharmacist academic affiliation was significantly associated with collaborative care. The pharmacist and physician regressions indicated significant (P &lt; 0.05) associations between collaborative care and two PPCI domains (role specification and relationship initiation for physicians; role specification and trustworthiness for pharmacists).

Conclusions

This study focused on physician–pharmacist collaboration within hospitals, and it was the first study measuring interprofessional collaboration in Iraq. The results showed there is physician–pharmacist collaboration within Iraqi hospitals and exchange characteristics had significant influence on this collaboration.

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Publication Date
Wed Aug 06 2025
Journal Name
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An Evaluation of Gutta-Percha Penetration Depth into Simulated Lateral Canals by Using Three Different Obturation Techniques (A Comparative Study)
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Background:sThe aims of this study were to evaluate and compare the ability of three different techniques to obdurate simulated lateral canals, evaluate the effect of the main canal curvature on obturation of lateral canals and compare the gutta-percha penetration between coronal and apical lateral canals. Materials and methods: Resin blocks with 30 straight and 30 curved were used in this study. Each canal has two parallel lateral canals. The main canal has 0.3 mm apical diameter and 0.04 taper. The canals were divided into six groups according to canal curvature and obturation techniques used (n=10): Groups C1 and C2: straight and curved canals obturated with continuous wave technique using E&Q masterTM system. Groups O1 and O2: straight

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Publication Date
Wed Aug 06 2025
Journal Name
Journal Of Baghdad College Of Dentistry
Shear bond strength of endodontic sealers to dentin with and without smear layer and gutta percha (An in vitro study)
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Publication Date
Thu Aug 01 2019
Journal Name
Journal Of Economics And Administrative Sciences
EVALUTION OF OCCUPATIONAL HEALTH AND SAFETY SYSTEM ACCORDING TO ISO 45001 : 2018 Applied Research IN BAGHDAD COMPANY FOR SOFT DRINKS
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Publication Date
Sat Oct 01 2016
Journal Name
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Strategic Human Resource Development and its Reflecting on Quality Municipality Service Case study In Directorate Of Municipalities in holy Karbala
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Publication Date
Mon May 31 2021
Journal Name
Indian Journal Of Ecology
Identification and Antimicrobial Susceptibility Profiles of Salmonella spp. Isolated from Chicken Flocks and their Feed and Water in Karbala, Iraq
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The objective of study was determining the most prevalent Salmonella spp. and their antimicrobial susceptibility in broilers and laying chickens and their feed and drinking water in five chicken farms in Karbala, Iraq over the period from August to October 2020. A total of 289 samples, including 217 cloaca swabs, 46 water and 26 feed samples were collected. Salmonella spp. was identified firstly by routine diagnostic methods, followed by applying the API 20E kit, the Vitek2 system, and serology. There was significant differences in Salmonella prevalence among different types of samples, mainly cloaca swabs reported a high isolation rate (21.7%). In contrast, feed samples were completely free of contamination. The highest rate of isolation w

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Publication Date
Sat Mar 30 2013
Journal Name
Mathematical Problems In Engineering
CFD analysis of Heat transfer and friction factor characteristics in a circular tube fitted with Quadrant-cut twisted tape inserts
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Fri Sep 01 2023
Journal Name
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Structural and optical properties of C60-ZnO thin films synthesized by spray pyrolysis technique with plasma treatment as antibacterial activity
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Publication Date
Tue Oct 10 2017
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Detection of some major elements and protein in Fusarium wilt disease infected tomato(Lycopersicon esculentum) treated with Arbuscular mycorrhizal fungi
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Publication Date
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Permeability Prediction and Facies Distribution for Yamama Reservoir in Faihaa Oil Field: Role of Machine Learning and Cluster Analysis Approach
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Empirical and statistical methodologies have been established to acquire accurate permeability identification and reservoir characterization, based on the rock type and reservoir performance. The identification of rock facies is usually done by either using core analysis to visually interpret lithofacies or indirectly based on well-log data. The use of well-log data for traditional facies prediction is characterized by uncertainties and can be time-consuming, particularly when working with large datasets. Thus, Machine Learning can be used to predict patterns more efficiently when applied to large data. Taking into account the electrofacies distribution, this work was conducted to predict permeability for the four wells, FH1, FH2, F

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