Anemia during pregnancy is a frequent finding and can increase morbidity and mortality in both mother and child. This paper aims to identify clinical, social and healthcare-related factors that affect the incidence of anemia in pregnant patients in a primary care prenatal clinic in Mara municipality. This is a descriptive field study that took place between November and December, 2013. Sixty-two patients were selected through non-probability sampling among four primary care clinics in the municipality of Mara. A high prevalence of anemia (76%) was found, with normal MCV (mean corpuscular volume), normal MCH (mean corpuscular hemoglobin), and normal MCHC (mean corpuscular hemoglobin concentration). In only 36% of cases serum iron levels fell below 50 ug/dl. Some clinical factors found to be related to anemia in pregnancy are multiparity (69.9%), infections before or during pregnancy (77.5%), low protein intake (91.8%), less than a year birth interval (63.3%), and gestational age (89.8%). The main socioeconomic factor related to anemia is poverty (89.8%). Prenatal checkup schedule needs to be adjusted in primary care clinics in the municipality of Mara taking into consideration clinical and socioeconomic factors in order to lower the prevalence of anemia during pregnancy in this population.
Introduction: Drugs are used as therapeutic tools useful strategy to improve and maintain health. The use of drugs is a complex phenomenon that is influenced by several factors that are interesting to analyze. Objective: To identify determinants related to the possession of drugs in homes clustered in the socio-economic, personal and health system. Methods: A descriptive transversal to do so, applied 1092 surveys, April-July 2010. Sampling was intentional in the metropolitan area of the Municipality Trujillo, Trujillo State Venezuela. The instrument was structured in the following dimensions: 1) socio-economic, 2) personal, 3) health system. For data analysis, we applied chi square and binary logistic regression. Results: We found associations between number of drugs in the presence of patients at home (acute or chronic): odds ratio (OR): 2.5; p=0.000; 95% confidence interval (CI): 1,9-3,33; family income (measured in minimum wages): OR: 1.38; p=0.021; CI: 1.05-1.82 and the purchase of medications (prescription): OR: 2.5; p=0.000; 1,53 IC-4, 04. Conclusion: The variables that are correlated with increased number of drugs found in homes of patients were the presence of any type, higher family income and the purchase of medicines for families
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