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Showing 4 results for Goodarzi

Ar Salehi Nodeh, K Goodarzi, P Ekhtiyari, Sa Mirshafiee,
Volume 2, Issue 1 (2 2008)
Abstract

Background and Aim: Rheumatoid arthritis is a systemic, chronic and inflammatory disease. It is characterized by the symmetric synovitis  of the articules of the extremities. Its major cause is unknown.
Immunological factors including Rheumatoid factor (RF) are considered as more confirming Cause. To date Rheumatoid factor is consisted of many antibodies which are produced against the constant region of IgG. Its causes are not known. This factor is not detected in the healthy people. In the patients with positive rheumatoid factor the probability of a disease would increase seriously. The goal of this study is evaluation of VDRL test in rheumatoid arthritis.

Materials and Methods : Serum Samples were obtained from 70 patients with rheumatoid arthritis from loghman hospital. We selected 70 serum samples from the blood donating healthy people.
The serum samples were kept in the Capped vials in - 20ºc freezer. Within two week, VDRL serologic tests were done on serum samples.

Results : The patients were 49 females and 21 males. In the female group 79.6% had negative response and 20.4% had positive response.
In the male patients 66.7% had negative response and 33.3% had positive response. Positive tests were much more in males. In healthy people only 4 ones has positive VDRL test.(5.7%), versus 17 positive VDRL test in patient group (25.3%). In the normal group, 94.3% had negative test versus 75.7% in the patient group.

Discussion : The difference between two groups was statistically Significant (p<0.01). The result of this study shows that VDRL test would be helpful in the diagnosis of rheumatoid arthritis.


Zahra Kavosi, Sahar Goodarzi, Abdollah Almasiankia,
Volume 6, Issue 5 (13 2013)
Abstract

Background and Aim: Assessment of hospital performance increases responsiveness and efficiency of limited resources. One of the most useful models of hospital performance assessment is Pabon-Lasso, a graphical model that determines the relative performance of hospitals using three indicators: Bed Occupancy Rate Bed Turnover and Average Length of Stay. The present study aims to compare the performance of Lorestan University of Medical Sciences (LUMS) hospitals using the above-mentioned tools.

Materials and Methods: In this descriptive cross-sectional study, fourteen LUMS hospitals were selected through census. The data-gathering instrument was the standard data form verified by the Ministry of Health and Medical Education. Bed Occupancy Rate, Average Length of Stay, and Bed Turnover Rate were calculated and Pabon-Lasso graph was drawn using SPSS 15.

Results: The average length of stay, bed occupancy, and bed turnover rates turned out to be 3/21 days, 53/07% and 95/54, respectively. Five hospitals were in Zone III, indicating a satisfactory level of efficiency. Four hospitals demonstrated inefficiency and underutilization of resources by falling into Zone I. Three hospitals were placed n Zone II. And two hospitals were in Zone IV.

Conclusion: Among 14 studied hospitals, just 5 were considered as efficient. Therefore, it is necessary that policy-makers develop solutions to improve the performance of other hospitals and distribute health resources appropriately.


Maryam Ahmadi, Mashallah Torabi, Maryam Goodarzi, Hamideh Hamidi, Samira Elmi, Fatemeh Golmahi, Samira Mortezaie, Parisa Nezari,
Volume 13, Issue 4 (Oct & Nov 2019)
Abstract

Background and Aim: The purpose of this study was to introduce a new model for indicator of letters in office automation of Tehran University of Medical Sciences.
Materials and Methods: The present study was an applied research and a developmental study in which old automation method has been modified to new model. Regarding to the dispersion of codes assigned to letters, there was no specific order in the codes of both old and new units defined in the system, and firstly, the letter indicators in the office automation system of university in combination with letters and numbers was done without classification, the decision was made to correct it in the office automation system. In new model, numbering the correspondence based on frequency of each university unit's subdivision was described and proposed model was presented.
Results: According to the new numerical model, integrated codes were assigned which were entirely numerical or the combination of numbers. Due to the abundance of units covered by the university, the research centers allocate the largest number to themselves. Therefore, a larger range of indicator codes for these units was considered than for other sections.
Conclusion: This model provides a new model for implementation of office automation indicator code in Tehran University of Medical Sciences and facilitates the search of letters based on the defined number. 

Maryam Goodarzi, Seyed Soroush Ghazinoori, Reza Radfar, Abbas Kebriaeezadeh,
Volume 13, Issue 5 (Dec & Jan 2020)
Abstract

Background and Aim: Given the increasing variety of biological drugs in the world and the significant role of these drugs in patients' quality of life, as well as the high risk of drug productions, biopharmaceutical companies need to revise their business model. The purpose of this study is to review the dimensions and components of biopharmaceutical companies.
Materials and Methods: This is a comprehensive review and is based on the existing studies by searching valid databases such as PubMed, Science Direct, SID, Iran doc and Google Scholar from 2000 to 2019. All the searches were performed based on keywords such as “Components of Business Model”, and “Business Model of Biopharmaceutical Companies”. The initial search yielded 820 articles. After screening, 23 articles were selected for final study.
Results: The overall dimensions of business model in biopharmaceutical companies are identical to other companies, but the components of the business model of these kinds of companies are various based on their performance, and the most important components include the value proposition, key resources, success factors, revenue stream and cost structure.
Conclusion: Introducing the components of business model in this study can be adjusted based on the dimensions of business model and the characteristics of each biopharmaceutical company.


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