Pattern of prevalence of diseases and drug prescription in a rural tertiary care teaching hospital of Himachal Pradesh
Journal Title: IP International Journal of Comprehensive and Advanced Pharmacology - Year 2017, Vol 2, Issue 2
Abstract
Introduction: Drug utilization studies are important to know the prescription pattern of drugs by prescriber in a particular hospital. Materials and Method: This was an observational study, undertaken between August 2016 to October 2016, for which data was collected from our OPDs. Results were compiled, tabulated and analyzed using Microsoft excel. Charts were drawn to present all the findings. Results: In total 317 medications were prescribed in 113 prescription notes. Demographic profile shows more females (58%) as compared to males (42%). Maximum patients (73%) were from age group of 20 – 60 yrs. Most common dosage form was oral in 84%, topical were prescribed in 9% and injectable were prescribed in 7%. Maximum number of prescription was written for duration of 4 to 7 days in 36%, followed by more than 10 days in 29%, 8 to 10 days in 11%, 1 -3 days in 9 % and single dose in 4%. In 11% of prescriptions duration of treatment was not specified. Disease pattern profile shows maximum patients of musculoskeletal disease in 20% , followed by respiratory system in 16%, GIT system and skin in 14 % , ENT in 10%, Dental in 7% , CNS in 6% and others in 13%. Common group of drugs prescribed were NSAIDs ± serratiopeptidase in 20% followed by multivitamins and minerals in 17%, antibiotics in 13%, PPIs and antiemetic in 12%, antihistamines in 6%, corticosteroids in 5%, nasal decongestant in 4%, antifungal in 3% and CNS drugs in 3%. Most common antibiotics prescribed was amoxicillin + clavulanic acid in 34%, followed by azithromycin in 22%, doxycycline in 15%, amoxicillin, ofloxacin and cotrimoxazole in 7% each, metronidazole in 5% and Tobramycin in 3%. Conclusion: In government sector policy should be framed according to felt need and consumption of the highly demand drugs in a given society, so that it lead to decrease unwanted expenditure on expensive drugs.
Authors and Affiliations
Arvind Kumar, Dinesh Kansal, Usha Kumari Chaudhary
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