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Showing 4 results for Content Analysis
What Do Iranian People Have in Mind When Assessing Their Quality of Life? A Qualitative Study
Z Cheraghi, S Nejat, L Haghjoo, F Salehi,
Volume 12, Issue 3 (10-2016)
Abstract

Background and Objectives: The main question that arises in ‘Quality of Life’ (QOL) studies is how people assess this phenomenon and what factors affect it. Using these answers, we can better analyze the findings of QOL studies in our country.

Methods: In this content analysis, we carried out semi-structured interviews, and applied maximum variation opportunistic sampling in terms of gender, age, education, ethnicity, and economic status. First, we asked the participants to answer the question on QOL by thinking aloud. Then, they were asked to discuss the factors that affected their choice a posteriori. Finally, the inductive qualitative analysis was done and the mental model of the participants was extracted.

Results: We extracted five main categories and 33 themes. These categories included physical factors, psychological factors, socioeconomic factors, family issues, and environmental factors. Physical health, expectations, satisfaction, community engagement, financial problems, environmental pollution, leisure and recreation, family environment, family relationships and the role of the wife were the most important factors affecting the QOL in the participants’ opinions.

Conclusion: In addition to the health status, family issues such as the family environment and financial problems affected the QOL. Moreover, the participants believed environmental health was an integral part of QOL.


Explaining the Causes of Single Child Based on Women's Views: A Qualitative Study
F Behmanesh, Z Taghizadeh, Aa Vedadhir, A Ebadi, A Pourreza, Mj Abbasi Shavazi,
Volume 15, Issue 3 (11-2019)
Abstract
Background and Objectives: Low fertility reduces the workforce and causes population aging. Hence, childbearing and its determinants are important issues in demographic policies. This study was conducted to explain the causes of single child according to women’s views.
 
Methods: This qualitative study was the second part of a sequential explanatory study carried out using a conventional content analysis approach and inductive reasoning. The research population comprised married women aged 15-49 years old living in Babol who had one child and did not intend to have any pregnancies in the future. The subjects were selected via a target-based sampling method. After receiving written consent, semi-structured interviews were conducted. Data saturation was achieved after 13 interviews.
 
Results: The findings showed that single child was affected by the media and social patterns associated with their own priorities. Uncertainty about the future and marital conflicts boosted having only one child. In fact, there were issues that forced women to accept "single child” in spite of "single child complaints" and try to a find a meaning for life with only one child.
 
Conclusion: Apart from economic issues, there are many social issues involved in child-rearing, and demographic policy-makers should consider these issues in order to achieve their desired demographic goals.
Iranian Adolescents' Experiences of Domestic Violence: A Qualitative Study
Z Alinesaei, Z Hosseinkhani,
Volume 18, Issue 1 (5-2022)
Abstract
Background and Objectives: Children, especially adolescents, are one of the main victims of domestic violence, who have received less attention despite their vulnerability to this social problem. This study was conducted to determine the adolescents' perspectives and experiences of domestic violence and parental disputes in order to improve our understanding of the various aspects of this social problem for planning the necessary measures to reduce it.
Methods: The present qualitative study was performed with a content analysis approach. The data were collected using semi-Structural interviews. The participants were students aged 12 to 16 years. Purposeful sampling with maximum variation in terms of socioeconomic status, age and gender was performed. In total, 33 interviews were conducted by two interviewers.
Results: A total of 4 categories, 11 subcategories and 120 themes were extracted as the adolescents' experiences. By summarizing and combining similar themes, the main categories included adolescents' psychological reactions and activities at home and in the school, domestic violence outcomes and cause of violence. The most important cause of violence was socio-economic status of the family, especially father's unemployment. Adolescents who had experienced domestic violence had higher tendencies toward high-risk behavior and academic failure.    
Conclusion: According to adolescents' views, socio-economic factors play an important role in the occurrence of domestic violence and can lead to unpleasant social experiences and social harms in their future lives. Therefore, it is necessary for parents, teachers, and policy makers to adopt effective measured to reduce this social problem.
 

Fuzzy Cognitive Map of Macro Determinants of Population Health in Iran
Nafiseh Salehnia, Abbas Assari Arani, Hossein Sadeghi Saghdel, Alireza Olyaeemanesh,
Volume 18, Issue 4 (3-2023)
Abstract
Background and Objectives: Health promotion is a crucial task for policymakers. Therefore, this study aims to identify the key factors that determine population health in Iran and illustrate the causal relationships between these factors.
Methods: The research was conducted using a mixed-method approach in three stages. First, macro social determinants of health were identified by analyzing available resources from 2000 to 2019. Screening of factors was carried out through the fuzzy Delphi method and a survey involving 15 experts. Finally, the causal relationships between the social determinants of health were depicted using a fuzzy cognitive map.
Results: Initially, 96 health determinants were identified at the national and global levels. After the screening, 8 factors that had less significance in population health were excluded. In terms of causal relationships, the economic system emerged as the most important and influential factor, with a centrality degree of 21.06 and an out-degree of 10.91. Following that, governance and policy-making, as well as national policies, were ranked with centrality degrees of 20.25 and 20.19, respectively.
Conclusion: Irrespective of the causal relationships, the health system holds the utmost importance in population health. However, when considering the causal relationships, the economic system takes precedence as the most critical factor, while the health system does not rank among the top three factors. Therefore, the analysis of fuzzy cognitive maps assists policymakers in understanding priorities and the interconnectedness between sectors in developing and implementing health-oriented policies across all sectors, enabling the adoption of the most effective policies.

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