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Showing 3 results for Social Determinants of Health

B Damari, M Faghihi Juibari , J Najafpoor, M Safari, A Khoshnevisan,
Volume 12, Issue 3 (10-2016)
Abstract

Background and Objectives: Social determinants of health affect a wide range of health consequences. The aim of this study was to analyze the effects of social determinants of health factors on survival in patients with malignant brain tumors.

Methods: This cross-sectional retrospective study was done in Imam Khomeini and Shariati Hospitals in 2014. Based on inclusion criteria, the data of 148 patients were collected. The collected data included demographic information (including age, sex, education level, employment status, marital status, health insurance status, number of household members), information about the tumor and disease (stage / grade), The first and the last time of follow-up, type of selected treatment, and the duration of survival after treatment. We used SPSS 15 to analyze data.

Results: Our results showed a significant relationship between survival and variables such as the size of the household, education, employment status, and age. Patients with grade 3 tumors had a lower relative risk of dying while employed patients, patients in the age range 18-30 years, and male patients had a higher relative risk of dying (lower survival).

Conclusion: Lack of reliable databases and appropriate integration and communication between different organizations recording to patient data, and also probable sensitivity in obtaining personal information has led to the lack of systematic information about the impact of social determinants of health. it is recommended that a system of recording integrated information for different disease should be established in the country for designing informed policies based on the evidence.


S Mirzaei, H Safizadeh , N Oroomiei,
Volume 13, Issue 3 (12-2017)
Abstract

Background and Objectives: Today, justice is one of the main priorities of policy makers, and equitable distribution of health is one of their concerns. The concept of justice is a health policy objective. International human rights framework places particular emphasis on moving towards equity in health through attention to social determinants of health. In this study, for better recognition of available social determinants of health models, seven common determinants of health frameworks are presented.
Methods: This was a comparative study. The research environment included all social determinants of health models in the world, of which seven models were selected by targeted search. The criteria for selection were justice, evidence-based decision-making, strategic and comprehensive approach, and importance of family in health. The models were studied in detail.
Results: In this study, seven models were identified and investigated in terms of level, type, basis and focus area.
Conclusion: There are many models around the world to demonstrate the determinants of health, and each of these models has its advantages and disadvantages. Wider Determinants of Health Model is the most frequently used model in Iran. This research can help policy makers and researchers in selecting models for analyzing social determinants of health according to the dominant discourse.
Maliheh Dadgar Moghadam, Majid Khadem Rezaian, Zainab Shateri Amiri,
Volume 18, Issue 4 (3-2023)
Abstract

Background and Objectives: The novel and rapidly spreading nature of COVID-19 surpasses the capacity and capabilities of the healthcare system, necessitating comprehensive management. This study aims to explore the role and relationship of social determinants of health with the ultimate outcome of patients.
Methods: In this cross-sectional study, the information of COVID-19 patients within the coverage area of Mashhad University of Medical Sciences was examined from three sources (outpatient or inpatient) between March 2018 and March 2019, utilizing the census method. The logistic regression model was employed to assess the predictability of social determinants of health.
Results: Out of 182,602 patients, 100,407 (55%) were men, and 82,195 (45%) were women. Logistic regression analysis revealed that the odds of mortality due to corona infection increased by 1.075 (1.073-1.077) times for each year of age. Additionally, the odds were 2.37 (2.06-2.73) times higher in men compared to women and displayed an inverse relationship with educational level (PV<0.001). Job status did not demonstrate a significant effect. The presence of diabetes (OR=1.28, 95% CI: 1.19-1.38), underlying diseases (OR=1.16, 95% CI: 1.09-1.22), and immune system weakness (OR=7.94, 95% CI: 6.44-9.80) were associated with an increased likelihood of death. Conversely, pregnancy (OR=0.90, 95% CI: 0.57-1.42) and high blood pressure (OR=0.95, 95% CI: 0.89-1.02) exhibited no significant association.
Conclusion: Considering the relationship between social determinants of health and COVID-19 mortality, it is recommended that policymakers involve sectors outside the healthcare system in addressing health matters.


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