Background: Anaemia is highly prevalent among pregnant women and iron deficiency is the most important cause. Like many other countries, India has policies to give pregnant women iron supplements. Non-compliance is one important challenging factor in combating anaemia. Objective: To estimate the compliance for IFA tablets among pregnant women and to study the social factors influencing it. Methodology: This study included 190 pregnant women seeking ante-natal care in tertiary health centres in the Mangalore city in south India. After Institutional Ethics Committee (IEC) approval, data was collected by personal interview. Missing >2 doses consecutively was considered non-compliance. The data was analyzed using SPSS (Statistical Package for Social Sciences) version 11.5. Results: The mean age of the study population was 25.8 years (SD: 4.1). Most of the subjects consumed mixed diet and 72.1% belonged to lower socioeconomic status. Overall, compliance with IFA tablets was 64.7%. Compliance increased with the increase in age, birth order and single daily dose. Forgetfulness and both perceived as well as experienced side effects of IFA therapy were the important factors for non-compliance. Conclusion: There was a moderate level of compliance towards IFA tablets with key social and demographic factors playing an important role.
A large number of IPNs and semi-IPNs have been reported in the literature. The present review is focused on the preparation methods and their CR properties with reference to anticancer, anti-asthmatic, antibiotic, anti-inflammatory, anti-tuberculosis and antihypertensive drugs, as majority of these drugs have been reported to be the ideal choices for using IPNs and semi-IPNs.
Objective: The objective of this study was to assess the drug-drug interactions (DDIs) through prescription analysis among the inpatients of a South Indian teaching hospital. Methods: The study was a prospective observational prescription analysis conducted for a period of 6 months, from October 2010 to March 2011. The prescriptions having two or more drugs and where a DDI was suspected were selected by the physician in charge of the ward. The drugs in the prescription were then entered into the drug interaction checker software. The DDIs were classified based on the mechanism of interactions, severity of interactions, relation to the number of drugs prescribed, and disease conditions were also determined. Results: A total of 204 prescriptions were analyzed, of which 186 prescriptions had 856 DDIs. Most of the DDIs were pharmacokinetic drug interactions (42%) followed by unknown mechanisms (34%) and pharmacodynamic mechanisms (24%). The study findings showed that the prescriptions for cardiovascular with respiratory disease conditions had the greatest number of drug interactions on average. A severity assessment showed that majority of the DDIs were moderate (70%) followed by minor (28%). The study results showed that as the number of drugs increases in a prescription, the number of DDIs also increases. The interventions determined showed that dosage adjustment (12%) was to be followed in most of the DDIs. Conclusion: This study assists in understanding the factors associated with DDIs that can help in safe and effective use of drugs in the future.
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