Showing 5 results for Determinants
A Bahonar, Aa Shaebani, M Aghajani,
Volume 6, Issue 1 (6-2010)
Abstract
Background & objectives: Increasing the rate of cesarean in recent decades is a noticeable sign which has been interested to look at some possible medical, psychological and social determinants. The aim of this study was to determine trend of cesarean during 1998-2007 and evaluation of some social factors in Damghan, Iran.
Methods: We used a case-control study by direct interview with mothers in health centers of city. A total of 120 cases (delivered by cesarean method) and 90 controls (delivered by natural method) were selected. For estimating of trend we used all medical files in Damghan maternity hospital between 1998-2007.Statistical analysis was performed in SPSS (Ver16) by descriptive and analytical (Chi-square, ANOVA and logistic regression) methods.
Results: A total of 12200 deliveries were registered during 1998-2007 and 51.7 percent of them were cesarean. From 1999 to 2003 years there is an increasing trend and most frequency of cesarean was in 2006 year (53.5%). Mean age, education, occupation, number of delivery, husband occupation, number of children and residency area was not significant between two groups. But from social factors, mother's education from diploma and higher, recom
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.
L Shams, Gh , T Nasiri, M Meskarpour Amiri,
Volume 17, Issue 4 (3-2022)
Abstract
Background and Objectives: The aim of this study was to investigate the relationship between socioeconomic status and non-communicable diseases (NCD) risk factors in one of the northern counties of Iran.
Methods: A descriptive-analytical cross-sectional study was conducted in Langrud County in 2019. In this study, 906 rural and urban households were surveyed using mixed sampling. The data collection tool was the standard questionnaire of "NCD disease care system". Households’ exposure to NCD behavioral risk factors (including unhealthy diet, sedentary lifestyle and smoking) in different socio-economic groups was examined and compared with logistic regression models using the STATA software.
Results: The probability of smoking in illiterate subjects and those with unfinished high school education and high school diploma was 5.1, 7.5 and 4.2 times higher than those with university education (OR = 5.1,7.5,4.2; P <0.05). The probability of unhealthy diets in the first and second quartiles of income (very low and low income) was 3.4 and 2.6 times higher compared to the people in the fourth quartile of income (high income) (P <0.05; OR = 3.4, 2.6).
Conclusion: The micro-level socioeconomic inequalities (within the county) have a significant relationship with households’ exposure to NCD risk factors. Reducing socio-economic inequalities at the micro level should be considered as an appropriate tool to reduce health inequality at the macro level.
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.
