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Kobra Shokrizadeh Bezenjani, Zari Rahmatpasand Fatideh, Solmaz Movahed Ajirlo, Mohammad Dehghani,
Volume 22, Issue 2 (7-2019)
Abstract

Abstract
Introduction: The International Statistical Classification of Diseases and Related Health Problems has been created for various purposes by the World Health Organization which annually modifies it for a better classification of diseases and achievement of intended objectives. Therefore, this study aimed to determine the knowledge of coders in educational hospitals about the changes made in the10th version of the classification system.
Methods: This descriptive-analytic study was conducted in 2018. The research population included coders in educational hospitals situated in south east of Iran. The population of the study consisted of 83 people selected through convenience sampling method and Morgan table. Data were gathered through an electronic questionnaire the link of which was sent to the participants. The data were analyzed in SPSS22 software using Pearson and ANOVA tests.
Results: The participants had a very low knowledge of the changes in ICD-10 (27.36 ± 15). There was a significant relationship between the  knowledge of the participants and their education, and working experience as coders (P = .001)
Conclusion: The findiongs indicated the coders’ low awareness of the changes in ICD-10; therefore, it is necessary to hold essential training workshops and create Persian sites to help them get familiar with the changes.
 
Mr Mohammad Mesgarpour_amiri, Mr Naeim Shokri, Mr Behnam Abi, Mr Seyyed Javad Hosseini_shokouh, Mr Taha Nasiri, Mr Seyyed Morteza Hosseini_shokouh,
Volume 27, Issue 2 (11-2024)
Abstract

Introduction: Understanding the hospital costs associated with COVID-19 and their impact on different populations helps develop a comprehensive approach to hospital preparedness, decision-making, and risk management. This study aimed to analyze the costs and identify factors associated with the direct treatment costs of hospitalized COVID-19 patients in a military hospital in Tehran.
Methods: This cross-sectional, descriptive-analytical economic evaluation study was conducted from February 20, 2020, to November 19, 2021, using a census of 28,997 hospitalized COVID-19 patients in a military hospital. Data analysis was performed using SPSS 26 and STATA 17 software, employing ordinary least squares regression and logistic regression.
Results: The total direct medical costs of treating the patients were 3,510,832,085,964 IRR (Iranian Rial), and the average treatment cost per patient was 121,049,964 IRR. Age, length of stay, place of residence, and comorbidities were significantly associated with treatment costs. The results showed that increasing age, length of stay, and the presence of other diseases had a significant positive correlation with treatment costs.
Conclusion: To reduce patient costs, healthcare policymakers should improve insurance coverage, hotel services, and pharmaceutical provision, and promote a culture of seeking medical care earlier. Other important measures include outpatient treatment instead of hospitalization, telehealth follow-up, reducing hospital length of stay, prioritizing the elderly in preventive programs such as screening and vaccination, and providing greater insurance support for COVID-19 patients with comorbidities and specific conditions


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