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Showing 3 results for Hayati

Hadi Hayati, Javad Khalilifard,
Volume 24, Issue 3 (12-2022)
Abstract

Background: Standards-based prescribing can increase the effectiveness of treatment and the optimal management of financial resources, including reducing the costs of insurance deductions. Therefore, reducing insurance deductions is necessary for pharmacy management. So, this study aimed to analysis the prescriptions and insurance deductions of the governmental pharmacy of Lorestan University of Medical Sciences.
Materials and Methods: This study is a retrospective cross-sectional study that includes a review of all prescriptions of the Social Security and the Armed Forces insurances. The information was collected through the checklist. Then, they were statistically analyzed by SPSS22 and excel software’s.
Results: The results showed that the highest number of prescriptions is related to general practitioners and the highest monetary amounts of the monthly deductions related to the Armed Forces Insurance is “price adjustment and low demand” (1700606 Rials) and the highest monetary amounts of the deductions in connection with the Social Security Insurance is “wrong code of the medical system (4617125 Rials).
Conclusion: Based on the results, it can be concluded that the most important causes of the deductions are related to human errors. Hence to reduce the deductions, first be more coordination’s between the insurances and pharmacies for covered items and the regulations second monitoring and up-to-date training of individuals on the correct entry of information based on the standards and regulations.


Masoud Ali Karami, Hadi Hayati,
Volume 25, Issue 4 (2-2024)
Abstract

Background: Cancer is always one of the major causes of death among patients, and providing affordable and effective medicines that are accessible to patients is one of the most important goals of health systems. Therefore, this study aimed to identify the key factors affecting the availability of medicines and the cancer patients’ affordability in pharmacies in Khorramabad, Iran.
Materials and Methods: This is cross-sectional descriptive-analytic study in 2022, In this study, pharmacies were considered as clusters, and then 96 prescriptions of cancer patients visiting pharmacies in the urban areas of Khorramabad were simple randomly selected for examination., data analysis was performed using SPSS software (version 21).
Results: The results of this study showed that more than half of the patients were reasonably satisfied with the availability of their prescribed medications in pharmacies. However, due to their income and economic situation, they were unable to afford the cost of medications. The most important socio-economic factor affecting access and financial ability to pay for prescribed medicines was the individuals’ level of income. However, in groups with relatively high incomes, the financial ability to pay for prescribed medicines was relatively low.
Conclusion: Since income is a significant factor in the financial ability to pay for cancer medicines, to enhance the productivity of health policies, health policymakers should allocate the necessary subsidies to medicines or increase insurance coverage for these medicines.
 

Seyed Sajad Hosseini Vahed, Hadi Hayati, Ahmad Adineh, Forouzan Ahmadpour,
Volume 26, Issue 1 (4-2024)
Abstract

Background: Medication errors are among the most important medical errors that can be prevented to avoid significant financial and life-threatening damages. The present study aimed to utilize the Failure Mode and Effect Analysis (FMEA) technique as a preventive measure to identify and assess the risk of medication errors and explore their correlation with demographic factors.
Materials and Methods: A descriptive-analytical approach was employed to evaluate medication errors in 2023 at Mehr Psychiatric Hospital in Khorramabad, Iran, using a qualitative-quantitative methodology and the FMEA technique. Data collection involved a safety checklist and adherence to standard work instructions. The analysis of error rates was conducted using the Risk Priority Number (RPN) to ascertain the level of risk associated with medication errors.
Results: The findings revealed 59 medication errors across 13 areas, with the highest error in obtaining a complete medical history and the lowest in transferring medication to a box. The average total risk score (RPN) was calculated to be 10.16. Moreover, the present research investigated the relationship between RPN scores and demographic variables and identified a significant association solely with the type of ward (P<0.001).
Conclusion: The study underscores the importance of mitigating medication errors through preventive strategies such as thorough patient history documentation, error identification, prioritization, and the implementation of appropriate solutions to reduce financial and human costs associated with treatment.
 



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