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1.
Journal of Health-Based Research. 2015; 1 (2): 95-104
in Persian | IMEMR | ID: emr-188256

ABSTRACT

Introduction: When severe kidney failure happens and kidneys do not work properly, alternative treatments such as transplantation and dialysis, including hemodialysis and peritoneal dialysis can be done. This study is to help physicians and patients in choosing an appropriate therapeutic method in terms of the impact on quality of life comparing different dimensions of hemodialysis and peritoneal dialysis patients' quality of life


Method: In this cross-sectional descriptive analytical study, 143 patients with hem dialysis and peritoneal dialysis have been studied in a hospital in Kerman at the second six months of 2011. In order to survey the patients' quality of life and comparing it from various dimensions, the EQ5D quality of life questionnaire was used. Data analysis was done by SPSS software version 19, and also using descriptive statistics such as frequency tables, mean, and standard deviation statistics, chi-square and Mann-Whitney analysis


Results: The average scores for quality of life in patients with hem dialysis and peritoneal dialysis were 0.61 vs. 0.69, respectively and the difference was meaningful. The highest average score in the hemodialysis patients quality of life was related to depression and anxiety [0.95] and in peritoneal dialysis patients was related to personal care [0.96]. In this study, there were not any statistically significant relationships between any of the studied variables and the quality of life except age variable in two groups of patients


Conclusion: This study revealed that peritoneal dialysis patients had higher quality of life particularly in the personal care and pain and had better life quality compared to hemodialysis patients

2.
Iranian Journal of Public Health. 2013; 42 (2): 149-157
in English | IMEMR | ID: emr-140693

ABSTRACT

Human Development Index [HDI] is a composite indicator that can show the impact of economic strategies on human life standards. The index is calculated by three main factors of income, education and health. This research studies the status of HDI across the Iranian provinces, its changes over time and the efficiency of provinces in using resources. The data for 2001 and 2009 was obtained from the Iranian Center of Statistics. Data envelopment analysis technique was used to analyze the data. To calculate the efficiency, Banker, Charnes and Cooper's model was used. The national mean for the HDI in 2001 was 0.717 while it grew to 0.747 in 2009. Except for one province, all others had an improved human development index. Low ranked provinces such as Sistan and Baluchistan and Kurdistan stayed at the bottom in 2009 as well. Some provinces such as Bushehr with developing oil industries, or those purposively benefited from national oil income showed good growth. In some provinces, such as Hormozgan, out-migration of manpower to its neighboring province, Bushehr, was associated with decrease of the provincial income level. The number of efficient provinces increased from 5 to 13 in 2009. Iran falls among countries with high human development index based on the 2009 data. However, the distribution of HDI status across provinces was highly varied and the difference between high- and low-developed provinces increased in 2009. The government needs to revise policies concerning distribution of resources among the provinces

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