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1.
Med J Islam Repub Iran ; 35: 146, 2021.
Artigo em Inglês | MEDLINE | ID: mdl-35321378

RESUMO

Background: Epidermolysis bullosa (EB) is prevalent in Iran and incurs direct and indirect costs on the health care system and the patient. Therefore, this study was conducted to estimate the economic burden of this disease in Iran. Methods: This study includes all patients with EB disease who had been referred to the medical centers of Iran in 2019-2020 for treatment of their disease, especially Hazrat Fatimah Hospital and their medical records are available in Iran EB Patients Association (IEBPA). In estimating the economic burden of diseases and costing studies, we calculated the average direct and indirect costs for a patient and used it to estimate the costs of the patient population. In this study, a prevalence approach was used to calculate the economic burden of this disease. For this purpose, the existing cases of the disease in 2019-2020 were calculated. The data collected from the questionnaires that were completed through interviews with patients as well as the data extracted from the review of their files were entered into Excel software and analyzed. Results: The total direct medical costs of direct non-medical and indirect are equal to 7.319.428.315 & 5.390.440.775 and 45.875.654.514 Rials respectively, and the total economic burden of the disease and the average of each patient is 58.585.514.604 and 155.890.789 respectively. Conclusion: High indirect costs, especially informal care, represent the socio-economic burden of this disease and constitute more than half of the total indirect costs. Therefore, the obvious gap and hidden social costs of this disease are related to health policymakers, especially when they want to study the impact of this disease on different income classes of families.

2.
Iran J Public Health ; 50(11): 2309-2316, 2021 Nov.
Artigo em Inglês | MEDLINE | ID: mdl-35223606

RESUMO

BACKGROUND: A set of experiences that leads to the destruction of individual's self-esteem are the main causes of suicide. Socioeconomic factors can be reasons for this event. Therefore, we aimed to investigate the impact of socioeconomic variables on suicide. METHODS: A panel data model was used to investigate the impact of socioeconomic indexes on the number of suicides in each province of Iran from 2001-2016. The data of socioeconomic variables were obtained from the statistical center of Iran, and data for the number of suicides in each province were obtained from the forensic science department. The analysis was conducted using estimated generalized least squares method by EViews version 8. RESULTS: The lowest and highest number of suicides was in 2001 (4.97 per 100,000 populations) and 2004 (5.97 per 100,000 populations), respectively and the average rate of suicide from 2001 to 2013 was 1.01 also unemployment, divorce, and industrialization rates have high impact on suicides for both sexes in P<0.05. CONCLUSION: Living skills training should be provided to the members of the societies as a short-term plan and in the long-term, improving the economic condition of people should be conduct to reduce the number of suicides.

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