Objective(s): to determine the effectiveness of instruction intervention upon multipara women's practices to
control stress incontinence.
Methodology: A quasi-experimental study was carried out from (2nd) April, 2010 to 15th June, 2010. Nonprobability
(purposive sample) of (60) multiparous women was selected from Baghdad Teaching Hospital and AlElwia
Maternity Teaching Hospital in Baghdad city, the sample was divided into two groups (30) women were
considered as a study group, and another (30) were considered as the control group. An instructional intervention
was applied on the study group, while the intervention was not applied on control group. A questionnaire was
resolve as a tool of data collection to suit the purpose of the study. A pilot study was carried out to test the
reliability and validity of the questionnaire for the period from 10th of March. - 30 March. 2010. Data were
analyzed through the application of descriptive statistical data analysis approach (frequency, percentage, mean of
scores) and inferential statistical data analysis approach (correlation coefficient, and chi- square).
Result: The results of the study revealed that the study group participants had benefited from the implementation
of instructional intervention and dramatic change had occurred in their practices to control stress urinary
incontinence. The study concluded that the majority of mothers had adequately met their needs control stress
urinary incontinence-pelvic floor and perineum muscles exercise, and lifestyle change.
Recommendation: The study recommended that the instructional intervention can be presented to all multipara
pregnant mothers who are attending to the primary health care centers; moreover, an instructional intervention
might be implemented in the hospital for multipara women to increase their knowledge about stress urinary
incontinence. The study also recommended that the nurse must take the role for teaching multiparous women the
principles of control SUI while they perform such procedure for them during postpartum period.
This research a study model of linear regression problem of autocorrelation of random error is spread when a normal distribution as used in linear regression analysis for relationship between variables and through this relationship can predict the value of a variable with the values of other variables, and was comparing methods (method of least squares, method of the average un-weighted, Thiel method and Laplace method) using the mean square error (MSE) boxes and simulation and the study included fore sizes of samples (15, 30, 60, 100). The results showed that the least-squares method is best, applying the fore methods of buckwheat production data and the cultivated area of the provinces of Iraq for years (2010), (2011), (2012),
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