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Showing 3 results for Hashemi H
Phototherapeutic keratectomy
Hashemi H, Miraftab Sm,
Volume 59, Issue 1 (7 2001)
Abstract
PTK (Phototherapeutic Keratectomy) is the use of laser in corneal diseases. We can replace PTK for many other invasive procedures. The objective of this study is the assessment of this procedure in several cases in our practice. This investigation was a retrospective study, which was conducted based on comparison of 11 eyes with corneal eschars, induced by recurrent corneal erosions, pterygium surgery, corneal dystrophies and trachoma from 1994 to 1995. The mean age of cases was 32 years. The mean augmentation rate in hyperopia after one month was 1.5 diopter, and after one year it was 1 diopter. Although in two cases, the cylinder more than one diopter was induced, the mean rate for it was not increased significantly. One patient with recurrent erosion, who had not replied to any treatment, had no any complaint during one year follow up. During the follow up procedure, there were no any cases of vision loss among the patients.
Intraocular Pressure And Its Determinants In Tehran Population
Kashi Ah, Fotouhil A, Hashemi H, Mohammadl K,
Volume 63, Issue 3 (12 2005)
Abstract

Background: The aim of this study was to provide data, on the distribution or intraocular pressure (IOP) in Tehran population.

Materials and Methods: Through a population-based, cross-sectional study, a total of 4565 Tehran citizens were studied in the Tehran Eye Study. The findings of the participants (n=3834) 10 years and older free of glaucoma diagnosis or suspicion who had undergone applanation tonometry examination are presented. All participants received a standardized protocol included applanation tonometry, and some other ocular measurements, fundus examination, demographic data and an interview. IOP measurement was used to evaluate its distribution by age, sex, and some eye parameters.   ‎

Results: Mean ± SO IOP was 14.5±2.6 in the total population, 14.4±2.7 in men, and 14.5±2.5 in women. Normal range (mean±2SD) of IOP was determined to be 9.3 - 19.7 mmHg. IOP increased significantly with age and cup-disc ratio except for a fall in old ages. This relationship was also observed when we analyzed individuals without diabetes or hypertension history. IOP increased with darker eye pigmentation except for blue/gray eyes. There was a non-linear ‎increase of IOP from emmetropic to high myopic eyes. ‎

Conclusion: Mean and/or normal range of IOP and their associations have been reported with wide differences in various studies. It is wise that studies evaluate IOP distribution or associations in healthy people and glaucoma people separately and also report the prevalence of IOP risk factors in their population to allow for a logical comparison of studies.


Views of users on factors affecting data quality of iranian electronic health record (SEPAS) in Hospitals Affiliated to Mashhad University of Medical Sciences: brief report
Seyed Mojtaba Hashemi Hasani , Khalil Kimiafar, Parviz Marouzi, Seyed Masoud Sadati, Alireza Banaye Yazdipour, Masoumeh Sarbaz,
Volume 78, Issue 5 (August 2020)
Abstract
Background: The Electronic Health Record contains personalized health care information. Several factors affect the quality of SEPAS (Iranian electronic health record) data, disregarding the types of hospital information system set-up in hospitals. The purpose of this study was to investigate users' views on the factors affecting the data quality of Iranian Electronic Health Record (SEPAS) in hospitals affiliated to Mashhad University of Medical Sciences.
Methods: This descriptive cross-sectional study was conducted in 2018. In this study, the views of supervisors of the SEPAS system, HIS chief officers, and head of health information technology departments of hospitals were evaluated through a valid and reliable researcher-made questionnaire. Content validity ratio and content validity index of the questionnaire were validated as 0.82 and 0.94, respectively. Furthermore, the internal questionnaire reliability was affirmed by Cronbach's alpha of 0.96. Data analysis was conducted using descriptive statistics in the SPSS v.16 software.
Results: The most important individual factor of affecting SEPAS data quality was staff training (4.19±0.94 of 5). Moreover, the factor “Personnel awareness of goal, mission, and vision of SEPAS system" had the lowest score (3.86±1.16). Also, the most critical organizational factor was the integration and relation of the HIS with the Civil Status Registration System (4.43±0.72). In examining technical factors, the quality of its support team responsiveness to user demands had the highest score (4.56±0.58). Also, the utilization of new data collection instruments and technologies (barcode, RFID, etc.) had the lowest score (4.22±0.98).
Conclusion: The most efficient solutions to improve quality of SEPAS data seems to be continuous training of staff, enhancing HIS connection with the Civil Status Registration System and improving the responsiveness of SEPAS support team.

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