L Fakharzadeh, N Tahery, M Heidari, N Hatefi Moadab , A Zahedi, S Elhami,
Volume 13, Issue 4 (VOl 13, No.4, Winter 2018)
Abstract
Background and Objectives: Domestic violence is the most common type of violence against women which leaves negative effects on the mental health of the mother, children, family, community, and the next generation directly and indirectly. Therefore, this study was conducted to assess the arte of domestic violence and some related factors in married women.
Methods: This cross-sectional descriptive research was carried out with participation of 623 married women attending health care centers of Abadan, Iran who were selected through random cluster sampling from in 2015. The data were collected by a demographic questionnaire and a women abuse scale checklist. Moreover, descriptive and analytical statistics (including T-Student Test, Pearson Correlation Coefficient, One-Way Variance Analysis, Chi-Square Test, and Fisher) were used for data analysis.
Results: The total prevalence of violence was 72.3%, and the porevalence of psychological, physical, life threatening, and sexual violence was 71.7%, 17.8%, 8.3%, and 7.1%, respectively. Moreover, a significant relationship was observed between violence and age, marital satisfaction, family behavior, financial situation, cigarette, alcohol, disease, domicile, occupation, place of birth, and criminal records.
Conclusion: Violence in the city of Abadan, eespecially psychological violence, is highly prevalent. Therefore, it is suggested that domestic violence against women be prevented using approaches such as life skills training starting before marriage such as anger management, proper communication, and problem solving.
S Aghamohamadi, A Khosravi, E Kazemi, A Atefi,
Volume 16, Issue 1 (Vol.16, No.1 2020)
Abstract
Background and Objectives: A large proportion of the data of cause of death is registered in hospitals in Iran. Assessment of the death data can help to identify the problems of cause of death registration system and improve it. Therefore, this study was conducted to review the quality of cause of death registration in Iranian hospitals in 2016.
Methods: All hospital deaths in 2016 were reviewed and classified by age group and sex using the Ministry of Health’s death registration system. Analysis of Causes of National Deaths for Action (ANACONDA) was used to evaluate the quality of the data of cause of death.
Results: About 24% of the recorded hospital deaths were assigned to garbage code categories. The highest percentage of this group was seen in the age group over 70 years old and the highest percentage of well-defined causes of death was seen in the age group below one year. Moreover, among the five groups of garbage code causes of death, the group with insufficient details of the cause of death based on ICD classification had the highest percentage in all age groups.
Conclusion: Since a substantial proportion of the causes of deaths registered in the Iranian hospitals are categorized in the garbage code categories and cannot be used for planning and health policy making, it is necessary to design a comprehensive plan to implement interventions such as implementation of process evaluation programs and training programs for physicians and coders.
Batoul Rabbani, Ardeshir Khosravi, Mahinsadat Azimi, Jafar Sadegh Tabrizi, Azizallh Atefi, Amin Ataey, Hossien Kazemeini, Elham Rashidin,
Volume 18, Issue 4 (Vol.18, No.4, Winter 2023)
Abstract
Background and Objectives: Overall, the four categories of non-communicable diseases (NCDs) (Cardiovascular disease (CVD), Cancer, Diabetes and chronic respiratory diseases) contribute to over 80% of annual premature deaths, with more than 85% of these occurrences transpiring in low- and middle-income countries. This study seeks to assess the likelihood of premature mortality attributable to these diseases across the provinces of Iran.
Methods: Data on causes of death from 2016 to 2019 was extracted from the death registration system of the Ministry of Health and Medical Education. To assess the completeness of the death registration system on a provincial level, we employed a novel method introduced by Adair and Lopez.
Results: From 2016 to 2019, non-communicable diseases, specifically the four primary diseases, constituted 68.98%, 69.44%, 69.17%, and 67.94% of all causes of death in Iran, respectively. During the same period, the probabilities of premature mortality attributed to major non-communicable diseases were 14.95%, 15.15%, 15.25%, and 16.63%, respectively. Notably, Golestan province exhibited the highest probability of premature death.
Conclusion: The percentage of probability of death resulting from non-communicable diseases is a crucial indicator for the prevention and control of NCDs at both the international and national levels. This indicator requires ongoing monitoring to effectively address the issue. Given the diverse socioeconomic and epidemiological circumstances across the provinces of Iran, acquiring a comprehensive understanding of the current situation regarding these diseases becomes imperative. Such knowledge facilitates the development of well-informed planning and policy-making strategies aimed at managing the increasing burden of NCDs and ensuring equitable healthcare provision.
