Abstinence Period and Semen Quality

The population will be the citizens and residents of Oman. All men included in the study will be the ones diagnosed in the last one year, with oligoasthenoteratozoospermia. There are multiple factors that affect the semen parameters in assisted reproductive procedures. One of the factors is period of abstinence. It has been observed that prolonged abstinence improves semen volume and sperm concentration, but it may have a negative impact on sperm viability and motility. The present abstinence guidelines are for testing and analysis only, however, it is possible that varying periods of abstinence may lead to higher clinical pregnancies.

If sufficient sample has not been accomplished even after considering non-response, investigators will optimize sampled data with complete information required for research. Regression imputation statistical technique will be done. Instead of deleting any case that has any missing value, this approach preserves all cases by replacing the missing data with a probable value estimated by remaining information. The existing variables are used to make a prediction, and then the predicted value is substituted as if an actual obtained value. After all missing values will be replaced, the complete data set will be analyzed using the above mentioned standard techniques to meet the objectives.

The data collected will be stored in a password coded excel sheet. The verification of sample provider will be done by two people. Also, two embryologists will cross check the identifier details with the sample. The anonymity of patient will be maintained by logging the data onto an excel sheet without any name, only patient number. The sample will be identified based on the Vrepro number which is a unique ID for the patient. Eg. For patient X,ID is 0004797. The details will be saved in a sheet with the ID number 4797 only.

The data base will be rigorously defined with the variables destined to be analyzed according to the objectives set. The necessary information will be exported from the clinical information manager, Vrepro, to a table in Excel format. The exported data will be duly codified in order to protect the clinical and personal information of the patients according to the applicable law in the place where the research project is carried out. Finally and prior to the statistical study, an exploratory data analysis will be carried out to review the quality of the information extracted.