Objective (s): To determine factors associated with the pregnancy complications (Maternal age, education,
obstetrical history, gravidity, birth space interval, and smoking).
Methodology: A cross-sectional study conducted at Al- washash & Bab-almoadham primary health care
centers. The sample was (non probability convenient sample) which included (550) pregnant women. The
study started from 1st April 2014 to 1
st of April 2015. The data was collected by direct interview using
special questionnaire to obtain socio-demographic information.
Results: the result shows that mean age of the subjects was 26.5± 4.39 years, 57.8% were housewives, the
sample included 103 premature uterine contractions, 98 pregnancy induced hypertension , 90 urinary tract
infection , and 80 anemic . Analysis of results by logistic regression test shows that (maternal age ,
gravidity, gestational age , birth space interval , and smoking ) were significant factors associated with
pregnancy complications.
Recommendations: health education to all attending pregnant women in MCH centers about risk of
complications during pregnancy
Factors associated with complications during pregnancy
pregnancy complications
factors
hypermesis gravid arum
placenta
Publication Date
Wed Dec 22 2021
Journal Name
Plos One
Awareness and preparedness of healthcare workers against the first wave of the COVID-19 pandemic: A cross-sectional survey across 57 countries
Background
Methods
... Show More
Adult
COVID-19
Cross-Sectional Studies
Education
Medical
Continuing
Female
Health Knowledge
Attitudes
Practice
Humans
Male
Personnel
Hospital
Socioeconomic Factors
Surveys and Questionnaires
Since the COVID-19 pandemic began, there have been concerns related to the preparedness of healthcare workers (HCWs). This study aimed to describe the level of awareness and preparedness of hospital HCWs at the time of the first wave.
This multinational, multicenter, cross-sectional survey was conducted among hospital HCWs from February to May 2020. We used a hierarchical logistic regression multivariate analysis to adjust the influence of variables based on awareness and preparedness. We then used association rule mining to identify relationships between HCW confidence in handling suspected
(27)
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