Objective: to assessthe impact of psychological and social climacteric changes on quality of life among
middle age women in Baghdad city
Methodology: : A descriptive analytic study was conducted to study the quality of life among middle age
women due topsychological and social climacteric changes from February 2013- July 2013. A purposive
sampleconsisted of three hundred (300) womenaged (40-65) years who were attending health centers in two
sectors in Baghdad / AL- Russafa andAL- karhk . The data were collected through using interview technique ,
and questionnaire format , which comprises two parts, first part consist (socio-demographic characteristic , the
second part quality of life domains (psychological and social domains ) .. The reliability of the questionnaire
was determined through a pilot study and, the validity through a panel of (18) experts. Descriptive and inferential
statistical analysis procedures were employed for data analysis; all the statistical procedures were tested at P>
0.05 or less .
Results:The results show that the climacteric changes for ( psychological domain ) was reported by more
than half of study sample which assessed as ( moderate) impact on quality of life .while the assess of social
domain ( good).
Recommendation:The study recommends for more effort from health care providers to do further researches
about the quality of life of middle age women. Moreover, the health care provider should implement an
educational program for women about the climacteric changes and how to pass it safely
Background: Several risk managem-ent standards had been developed including the Project Management Institute, the National Institute of Standards and Technology, actuarial societies, and ISO standards.
Objective: The study aimed at evaluating risk management among managers of model and ordinary primary health care centers in Baghdad City and comparing the risk management among these centers.
Methods: A descriptive comparative des
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This research aims to compare Bayesian Method and Full Maximum Likelihood to estimate hierarchical Poisson regression model.
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