Search published articles


Showing 4 results for Daroudi
Types and principles of conducting economic evaluation studies in health sector
Rajabali Daroudi, Abdoreza Mosavi, Omid Emami, Ali Akbarisari, Amin Mohammadi,
Volume 5, Issue 4 (12-2022)
Abstract
In recent decades, due to the increasing health expenditures and resource constraints, the economic evaluation studies results have been increasingly used to prioritize health interventions and resource allocation in most countries, especially in high-income countries. Economic evaluation studies allow health system policymakers and decision makers, including physicians, to select the most appropriate intervention scientifically and systematically by comparing the costs and consequences of different treatment interventions. In Iran, The results of economic evaluation studies are used to decide on the arrival of new drugs in the country as well as insurance coverage for medical interventions since a decade ago. However, many researchers and clinical professionals still do not have enough information about the types of economic evaluation studies and the principles of conducting these studies. In this article, while defining economic evaluation studies, the difference between these studies and other studies in health sector is stated. Then the main types of economic evaluation studies including cost-effectiveness, cost-utility and cost-benefit are described and the differences between these methods are expressed. Finally, the general principles of conducting economic evaluation studies in the health sector are explained.
 Understanding these principles and their implementation by researchers, while improving the quality of economic evaluation studies, provides the opportunity for policy makers and decision makers in health system to compare the results of these studies with each other and their findings to make decisions about the allocation of resources between different health interventions
Identifying of Pattern Outpatient visit of insured person with Data Mining Techniques: Case Study of Health Insurance in Bushehr Province
Rajabali Daroudi, Ebrahim Jaafaripooyan, Houshang Golzar,
Volume 6, Issue 4 (Winter 2024)
Abstract
Introduction: In recent decades, the field of health insurance has emerged as one of the vital components of the healthcare system, propelled by continuous advancements in technology and the increasing complexity of medical services and technologies. With the advent of new challenges in this industry, there has been a heightened effort to find innovative solutions to enhance service quality, optimize resource management, and increase the satisfaction of insured individuals. One significant approach in improving this domain involves the application of data mining techniques to identify behavioral patterns among health insurance policyholders during outpatient visits to diagnostic and treatment facilities.
Methods: The present study is a descriptive cross-sectional study. The claim data of health insurance in Bushehr province of Iran was used. After data preparation, analysis was performed using SPSS Clementine12.0 software. The values of insurance start time, number of visits, and the value of the type of insurance were used to model the K-means algorithm in two modes including demographic mode and Recency-frequency-monetary (RFM). Sampling was done by census method. The statistical population includes the information of all outpatient referrals of the insured covered by health insurance of Bushehr province to 1,420,579 referrals to diagnostic and medical centers in 2018, which has been prepared by the researcher’s direct referral to the database of medical records.
Results: The root mean square deviation values for RFM-based clustering and demographics are 21 and 21.65, respectively. And the Dunn’s Index confirmed the better RFM-based clustering. The RFM-based K-Means algorithm classified the data into four clusters, with 44% of the insured in Cluster One, 4% in Cluster Two, 22% in Cluster Three, and 30% in Cluster Four. Based on this, cluster 2 insured, including women with insurance of other classes with 4% of the population, were identified as the most referred, and cluster 3, including women with rural insurance, with 22% of the population, were identified as the least referred insured.
Conclusion: The obtained model divided the insured into 4 clusters. This model allows the organization to predict the referral patterns of each insurer based on their age, gender, and type of insurance and provide appropriate services for different clusters. By using these models and technique in decision making process, the insurers satisfaction will be improved.

Economic Evaluation of Molnopyravir, Paxlovid and Fluvoxamine in Treatment of COVID-19 Patients in Iran
Pedram Nourizadeh Tehrani, Mobarakeh Alipanah Dolatabad, Rajabali Daroudi,
Volume 6, Issue 4 (Winter 2024)
Abstract
Introduction: Various medications for the treatment of coronavirus disease 2019 (COVID-19) have been introduced in outpatient and inpatient wards. Three of the referees are Nirmatrelvir/ritonavir (Paxlovid), Molnupiravir and Fluvoxamine. The aim of this study was to investigate the cost-effectiveness of these drugs in treatment of patients with mild to moderate COVID-19 in Iran.
Methods: The present study was an economic evaluation study with the aim of investigating the cost-effectiveness of drugs. A two-part decision analysis model of decision tree model and Markov model was used to investigate cost-effectiveness. The study parameters included hospitalization, death rate, drugs, quality of life and treatment costs in 2012.
Results: The results showed that standard treatment had higher cost and lower average outcome (QALY) compared to the average fluvoxamine. Molnopyravir had a higher average cost (202.205.422 vs. 155.243.881) and lower QALY (4.352 vs. 4.363). The average cost of Paxlovid was higher (133.712.604 Rials vs. 3.328.029) and the average QALY (0.969 vs. 0.966). The cost-effectiveness ratio of pexelloids compared with fluvoxamine was 302.781.040.50 Rials. If the cost of the course of treatment with pexelloids is less than 2.108.425 Rials, this drug will be cost-effective.
Conclusion: It can be concluded that the use of paxlovid and molnopyravir in the treatment of COVID-19 patients in the mild to moderate stage who are at high risk for disease progression is not cost-effective at current prices. In the case of fluvoxamine, although the drug is cost-effective based on the available evidence, there is a lot of uncertainty about its effectiveness.

Examining the Dimensions Added to the EQ-5D Quality of Life Questionnaire; A Systematic Review
Mehdi Raadabadi, Rajabali Daroudi, Farzan Madadizadeh, Amirreza Veisi, Sara Emamgholipour, Jamil Sadeghifar,
Volume 7, Issue 2 (Summer 2024)
Abstract
Introduction: As the EQ-5D questionnaire may miss some dimensions of health and has limitations in utility measurement, adding new dimensions to EQ-5D may improve the validity and sensitivity of the measure. The present study was carried out as a systematic review of studies on adding new dimensions to the EQ-5D questionnaire.
Methods: This study was designed as a systematic review. Electronic databases such as Embase, PubMed, ISI/Web of Science and Scopus and two targeted website were mined from inception up to 30st September 2020. General description, version of the EQ-5D, method for valuing, types of bolt-on dimensions, approach for identification of bolt-on dimensions and effect on utilities measurement were extracted. Two authors reviewed the articles independently.
Results: 23 studies were included that eight articles studied only cognitive, four studies only vision, three studies only sleep and in two studies, skin problems were added to EQ-5D questionnaire. The majority of studies were conducted with a three-level scale questionnaire (EQ-5D-3L) and VAS Valuation method (n=11).
Conclusion: Adding bolt-on in some dimensions could change the utility measurement specially in cognitive, vision and respiratory dimensions. Comparison of HRQoL showed significant difference in health states for EQ-5D and EQ-5D+Bolt-on dimensions. EQ-VAS has been reduced with the addition of new dimensions. The results of the studies indicate an enhance in the HRQoL by adding the dimension to the EQ-5D, although the inconsistency between some studies can be related to the valuation techniques, the dimension added and the study conditions.

Page 1 from 1     

© 2025 CC BY-NC 4.0 | Iranian Journal of Health Insurance

Designed & Developed by : Yektaweb