Determination of Premature Birth Causes at Bint Al Huda Teaching Hospital

Abstract

Objectives: The study aims to: To Determination Causes of Premature Birth at Bent-Al-Huda Teaching
Hospital in Al Nasiriya City.
Methodology: Descriptive study design was conducted though out the present study for period from 6th
February 2020 to 1st September 2020. A purposive (non- probability) sample of 100 patientsat Bent-AlHuda Teaching Hospital in Al Nasiriya City. Data were collected through the questionnaire constructed
and the self-administrative reporting process. The questionnaire consisted of two parts: parents’ sociodemographic variables (age, educational level, occupation, monthly income and residence).the second part
consist of questionnaire consist of questions related to causes of premature birth. The validity of the content
of the instrument was determined by a panel of experts, and the internal consistency of the instrument
was determined through a pilot study and the calculation of the alpha correlation coefficient (r = 0.870).
Analyzing Data by descriptive and inferential statistical approaches using (SPSS) version 20.0.
Results: The findings shown that most of sample were fall in the age group 19-24 years old. The majority
of premature birth gender are male, Level of education, the greater number of study sample do not read
and write and they are accounted for (30%) of the sample, the occupation status, the results showed that
the highest percentages in the studied sample are (have no work), and are considered (70%). Most of the
monthly income of the study sample studied are insufficient and are considered (60%). They majority of
study sample were lives in rural area. The results of study show the highest percent of prevalence of these
causes of premature birth among women which are (Malnutrition, Diseases in pregnancy, Early rupture of
membranes, Repeated abortion and premature birth, early cervix Dilation and different blood type), there
is statistically significant differences between causes of premature birth and (mother age, educational level
and occupation) and there is non-statistically significant differences between causes of premature birth and
(gender of premature birth, income and residence) at (p value > 0.05), when analyzed by Chi-Square Tests..
Recommendations: The study recommended to do Provide instructional heath education to pregnant
women to increase their knowledge about causes of premature birth .