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  •   صفحه اصلی مخزن دانش
  • School of Medicine
  • Theses(M)
  • مشاهده آیتم
  •   صفحه اصلی مخزن دانش
  • School of Medicine
  • Theses(M)
  • مشاهده آیتم
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Evaluation of drug prescription pattern by physicians in Tabriz in 2022-2023

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تاریخ
2024
نویسنده
Aghajani, Ehsan
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نمایش پرونده کامل آیتم
چکیده
Mental disorders, such as anxiety and depression, significantly impacted global populations in 2019 and 2020, with COVID-19 causing a surge in prevalence. They affect 13.4% of the people worldwide, and 21% of Iranians have experienced them. Prescription analysis is critical for evaluating and improving medical care in a cost-effective manner. This study examined prescription patterns for psychotropic drugs in outpatient settings to improve the understanding of medication utilization in a variety of patients. It aimed to assist healthcare professionals in making well-informed decisions about drug prescriptions, a topic not much addressed in Iran. Method: A descriptive study was conducted using data extracted from the Social Security Organization in Iran. We analyzed prescriptions in Tabriz from March 2022 to March 2023. Prescription data were categorized by medication category, physician specialty, age group, and sex. Then statistical analysis was performed using SPSS 2022. Results: We analyzed the number of psychotropic medication prescriptions issued by 7246 doctors to a group of 413466 individuals over a year representing 44.9% of our target population. The average age of individuals receiving psychotropic drugs was 45.57 years. Gabapentin had the highest prescription rate, followed by sertraline. Antidepressants accounted for 38.1% of all prescriptions, with anxiolytics accounting for 18.6%. Other psychotropic drugs included alprazolam, chlordiazepoxide, and valproate. Adults in all age groups had the highest frequency of prescriptions for psychotropic medications. The majority of patients were female (63.5%). General practitioners had the highest number of instances of prescribing psychotropic drugs, with psychiatrists contributing 54.7% of the total prescriptions.
URI
https://dspace.tbzmed.ac.ir:443/xmlui/handle/123456789/71808
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  • Theses(M)

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مخزن دانش دانشگاه علوم پزشکی تبریز در نرم افزار دی اسپیس، کپی رایت 2018 ©  
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