INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT International Peer Reviewed & Refereed Journals, Open Access Journal ISSN Approved Journal No: 2456-4184 | Impact factor: 8.76 | ESTD Year: 2016
Scholarly open access journals, Peer-reviewed, and Refereed Journals, Impact factor 8.76 (Calculate by google scholar and Semantic Scholar | AI-Powered Research Tool) , Multidisciplinary, Monthly, Indexing in all major database & Metadata, Citation Generator, Digital Object Identifier(DOI)
The aim of this study is to evaluate drug utilization in preeclampsia and eclampsia. A prospective observational study was conducted by department of pharmacy practice in collaboration with the department of obstetrics in Guntur Government Hospital, Guntur after taking permission from the Institutional Review Board. WHO basic indicators were used for studying the prescribing pattern of drugs.Out of the total prescriptions studied the most commonly prescribed antihypertensive was nifedipine, followed by labetalol and Magnesium sulphate. Majority drugs prescribed were from category B and C. Single drug therapy was prescribed in 70% patients. The use of fixed dose combinations was low.
The incidence of single drugs therapy and two drugs was high. Irrational prescriptions were few. The present pattern of prescriptions can be improved by advocating rational drug prescription and awareness regarding safe use of drugs to the obstetricians.
Keywords:
Preeclampsia,Eclampsia, Hypertension, Obstetrics
Cite Article:
"DRUG MONITORING AMONG PREECLAMPSIA & ECLAMPSIA PATIENTS ATTENDING INPATIENT DEPARTMENT OF OBSTETRICS AND GYNAECOLOGY", International Journal of Novel Research and Development (www.ijnrd.org), ISSN:2456-4184, Vol.9, Issue 4, page no.i151-i158, April-2024, Available :http://www.ijnrd.org/papers/IJNRD2404822.pdf
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ISSN:
2456-4184 | IMPACT FACTOR: 8.76 Calculated By Google Scholar| ESTD YEAR: 2016
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.76 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator
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