Showing 7 results for Baneshi
Aa Haghdoost, Mr Baneshi, M Marzban,
Volume 7, Issue 2 (19 2011)
Abstract
In the previous paper, the basic concepts of sample size calculation were presented. This paper explores main post-calculation adjustments of the sample size calculation in special circumstances such as multiple group comparisons, unbalanced studies (with unequal number of subjects in different groups) sample size correction for missing data, and adjustment for finite population size. In addition, the concept of design effect in multi-stage sampling
M Shokouhi, E Mohebbi, A Rastegari, S Hajimaghsoudi, Aa Haghdoost, Mr Baneshi,
Volume 10, Issue 1 (Vol 10, No 1 2014)
Abstract
Knowing the population size of rare diseases or special subpopulations like injection drug users (IDUs) is one of the most important challenges in public health and health surveillance systems but it is difficult to estimate these groups. During the last few years, new methods have been suggested to estimate hidden or hard-to-reach populations, one of which is the network scale-up method (NSUM). The NSUM itself includes measuring the personal network size and estimating the prevalence of hidden and hard-to-count populations. In this paper, we basically discussed the indirect methods of calculating the population size, and the history of NSUM and its concepts, and then addressed the estimation of hidden populations with NSUM and the applicable notes for such populations.
S Daneshi, Aa Haghdoost, Mr Baneshi, F Zolala,
Volume 10, Issue 3 (Vol 10, No.3 2014)
Abstract
Background & Objectives: After an earthquake, casualty information is needed for planning and providing health care. However, developing countries do not have an efficient health information system even in normal conditions. In these countries, health information systems become worse in critical conditions. The aim of this study was to estimate the number of mortalities, limb amputations, and spinal cord injuries after the Bam earthquake.
Methods: In this cross sectional study, the network scale up method was used to estimate the number of casualties. We selected 80 residents of Bam and asked them whether they knew any one with spinal cord injury or limb amputation in three houses on the right and three houses on the left.
Results: The total estimated number of deaths was 54,041 in the earthquake. The number of people with spinal cord injury and limb amputation was 622 and 519, respectively.
Conclusion: For tertiary prevention measures and better resource allocation, an accurate health information system is needed. In the absence of such a system, there are limitations in using direct methods. It sounds that the network scale up method is an appropriate method for estimating such casualties.
A Raeisvandi, Aa Haghdoost, Mr Baneshi, S Garousi, S Farvahari, F Zolala,
Volume 10, Issue 4 (Vol 10, No 4 2015)
Abstract
Background and Objectives : Knowledge transition is an important issue in social epidemiology. Taking into account the importance of knowledge translation network among vulnerable young people in closed environments, this study was conducted to recognize and survey knowledge transition in school lessons. The study aimed at teenagers residing in orphanages in the city of Kerman, using social network analysis.
Methods: The study samples of this cross-sectional study were all teenagers aged 12-18 years old residing in orphanages. Data was collected via a checklist. In order to study the structural cohesion of social networks and the position of teenagers, density and centrality indices were calculated. Local structure of networks was studied using the triad census method. Finally, the effects of independent variables on indegree index were investigated using a mixed model.
Results : The mean density in knowledge transition was 0.34 (0.42 and 0.27 in girls and boys, respectively. (P=0.2)). Completely null and completely mutual triads were 17.1% and 11.2% in girls and 33.7% and 0.09% in boys, respectively. Indegree increased with an increase in age (P<0.001), the average of the scores in school exams (P=0.002), and studying non school materials (P=0.04).
Conclusion: Age, average score of school exams, and studying non school materials were important factors in indegree. In general, density of social network was rather low. The rate of knowledge transition was small. Therefore, activities are required to enhance knowledge sharing and transition.
V Yazdi Feyzabadi , Mh Mehrolhasani, Mr Baneshi, S Mirzaei, N Oroomiei,
Volume 13, Issue 0 (Vol.13, (Special Issue) 2018)
Abstract
Background and Objectives: Urban family physician program(UFPP), a program for improving equity in access to, financing, and quality of health services, is piloting in two provinces of Fars and Mazandaran, Iran since 2012. This study aimed to examine the association between the implementation of program and financial protection measures.
Methods: This cross-sectional, ecological study was performed on aggregated data of financial protection measures and some independent variables in the above provinces from 2008 to 2015. At first, the Lasso regression model was used for selecting independent variables affecting financial protection indexes. After adjusting the selected independent variables, in separate models, the association between the UFPP and financial protection measures, as outcome variables, was examined using a backward linear regression model.
Results: The percentage of households facing catastrophic health expenditure(CHE) in the years of UFPP implementation was 1.82% higher than the years before implementation(P<0.05). This increase was 1.37% in rural areas. the percentage of medical impoverishment in the two provinces increased by 0.83% during the implementation years than the years before(P<0.05). Finally, no significant relationship was observed between UFPP implementation and the Kakwani index and out of pocket payment(as % of total health expenditure) in the two provinces(P>0.05).
Conclusion: Despite the achievements attained by UFPP in improving physical access to health services, it seems that this program has had no success in improving financial protection measures and equitable health care financing. However, further research is warranted in this regard.
S Abbaszadeh, Mr Baneshi, F Zolala, Y Jahani, H Sharifi,
Volume 13, Issue 3 (Vol.13, No.3, Atumn 2017)
Abstract
Background and Objectives: We may sometimes measure the joint effect of correlated independent variables on several dependent variablesThe present study aimed to evaluate the performance of multivariate analysis of variance (MANOVA) and structural equation modeling (SEM) on complex relationships between variables.
Methods: The present study evaluated the knowledge and attitude of 15-18 year-old individuals towards narcotics (glass, ecstasy). The effect of independent variables on two latent variables of knowledge and attitudes was studied using SEM and MANOVA modelingThe mean square error of methods were compared.
Results: The direction of associations was similar in both methods but their coefficients and p-values were different. only the effect of gender (P-value= 0.007) on knowledge in both methods was significant. Nevertheless, gender (P-value < 0.001) and marital status (P-value< 0.001) were significantly associated with attitude in both methods. The mean square error of multivariate analysis of variance and structural equation modeling was 0.98 and 0.002 respectively.
Conclusion: In the current studythe performance of SEM was better than MANOVA. Therefore, it is suggested that SEM to be used to study the multifactorial relationship between variables. In addition, only gender was effective on knowledge in both methods, while gender and marital status were effective on attitude in both methods.
A Hosseinzadeh, Mr Baneshi, B Sedighi, J Kermanchi, Aa Haghdoost,
Volume 18, Issue 1 (Vol.18, No.1, Spring 2022 2022)
Abstract
Background and Objectives: Dementia is a chronic disease that imposes a huge financial and social burden on the health system. Knowledge of the prevalence of dementia is essential for healthcare planning and ensuring that there is an adequate service for people with the condition. Considering that the prevalence and geographical variation of dementia are not well known in Iran, the present study was conducted to investigate the prevalence of dementia and its geographic variations in Iran.
Methods: In this study, the prevalence of dementia was estimated indirectly using the frequency of prescribed specialized medicines in one year by generic and brand names in each province. Choropleth maps were used to visually assess the geographical variation of dementia prevalence at the provincial level. Moran I and Getis-Ord Gi (Gi) geographical tests were used to investigate the spatial autocorrelation and geographical variability of dementia prevalence at a significant level of 0.05, respectively.
Results: In this study, the prevalence of dementia was 49.6 and 508.9 in 100000 in the general and over 60-year population, respectively. In the general population, the lowest prevalence was in Hormozgan Province (9.4/100000) and the highest prevalence was in East Azarbayjan Province (96.4/100000). In the over 60-year population, the lowest prevalence was in Hormozgan Province (141.5/100000) and the highest in Isfahan Province (862.5/1000000). According to Moran I and Getis-Ord Gi (Gi) tests, spatial autocorrelation and geographical variability of dementia prevalence were not significant.
Conclusion: The prevalence of dementia in the Iranian over 60-year population is lower compared to western countries; however, it is comparable with the reported dementia prevalence from developing countries. It should be noted that the dementia prevalence is high, similar to developed countries, in some developed provinces of Iran.
