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Showing 3 results for Nouri

P Rezanejad Asl , M Hosseini, S Eftekhary, M Mahmoodi , K Nouri,
Volume 10, Issue 3 (Vol 10, No.3 2014)
Abstract

  Background & Objectives : Longitudinal studies are used in many psychiatric researches to evaluate the effectiveness of treatment. The main characteristic of longitudinal studies is repeated measurements of the patients over time. Since observations from the same patient are not independent from each other, especial statistical methods must be used for analyzing the data. Missing data is an indispensable component in longitudinal. In this study, we examined the effect of comprehensive treatment on social-individual performance in patients with the first episode of psychosis.

  Methods : The data was from a clinical trial involving patients who were admitted to the clinics of Roozbeh Hospital between 2006_2008. We employed a random effect model for the analysis of longitudinal ordinal responses with non-monotone missingness using the R software version 3.0.2.

 Results: The results showed that comprehensive treatment with follow-up at home, age, and family history of the disease had a significant effect on the social-individual performance of the patients. The estimation of the coefficient of age and its standard deviation were 0.05 and 0.03, respectively. The estimation of the coefficient of family history of the disease was -0.82 with a standard deviation of 0.41, and the coefficient of comprehensive treatment with follow-up at home and its standard deviation, were estimated -1.04 and 0.44, respectively.

  Conclusion: The model used in this study showed that the comprehensive treatment with follow-up at home was better because individuals under this type of treatment are more likely to have social-individual performance.


M Parvareh, Gh Moradi, B Nouri, F Farzadfar, N Rezaei,
Volume 13, Issue 3 (Vol.13, No.3, Atumn 2017)
Abstract

Background and Objectives:In order to determine the workload of health workers(Behvarz), this research was conducted for work measurement and time assessment in rural health centers(health house).
Methods: This cross sectional study was conducted in 30 health centers during a routine working day in Saghez in 2015 using the “stop watch method”. The time and frequency of the processes were recorded in a checklist. We estimated and compared spent, standard, expected and pessimistic time, and also the mean repetition for each process per day and month as the unit of time.
Results: The mean real working time was about 157.5 minutes (33%) per day, which was mostly (35.5 minutes) spent on the affairs of health volunteers. Care for non-communicable diseases was the most frequent task with an average of 2.4 times per day. In a month, family planning was undertaken more than other processes. The time of most activities like mother care, elderly care, care for communicable and non-communicable disease was significantly lower than the expected and pessimistic times (P<0.05).
Conclusion: The time spent by health workers was low and unscheduled, particularly for important activities of primary health care. It seems that it is necessary to revise the models and methods of service provision in health centers. Efficient use of existing personnel, reducing unnecessary activities and adding more service packages according to the health system priority seem to be important requirements in the first level of health system.
E Goodarzi, Gh Moradi, A Khosravi, N Esmailnasab, B Nouri, A Delpisheh, E Ghaderi, D Roshani,
Volume 14, Issue 2 (Vol.14, No.2, 2018)
Abstract

Background and Objectives: Life satisfaction is one of the important dimensions of health, which is influenced by health determinants. The aim of this study was to investigate the status of socioeconomic inequalities in satisfaction with life in women aged 15-54 in Iran.
 
Methods: In this cross-sectional study, randomized multistage cluster sampling with equal clusters was done to select the participants. A total of 35,305 women aged 15-55 were enrolled in the study. Data analysis was done in two stages. In the first stage, social and economic inequalities were investigated using the concentration index and concentration curve method. In the second stage, a multilevel method was used to identify the determinants.
 
Results: The mean life satisfaction was 12.81±4.23. The concentration index for dissatisfaction with life was -0.06 [95% CI: -0.1, -0.02], indicating dissatisfaction with life in low socioeconomic groups. The results of multilevel analysis showed that age, marital status, occupation, place of living, education, and the economic class correlated with dissatisfaction with life in women (P<0.05).
 
Conclusion: There is inequality in dissatisfaction with life. Dissatisfaction is concentrated in the poorer groups of the society and varies in different provinces. Socioeconomic variables affect inequality in satisfaction with life in women, which need to be addressed to reduce inequalities.

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