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- W4313324789 abstract "Introduction: Community pharmacy (CP) is one of the health care centers that have a key role to play in the current COVID-19 pandemic period. Prescriptions monitoring studies are essential as this helps in understanding the current prescribing pattern adopted by physicians. Furthermore, only few CP-based research studies were noted. This study was conducted with an aim to study prescribing pattern using World Health Organization (WHO) indicators from few community pharmacies in Maharashtra, India, during COVID-19 Pandemic period.Material and Methods: An observational study was conducted and sample comprised of prescriptions collected from different parts of Maharashtra (Mumbai, Pune. and Nashik). One thousand and fifty-six prescriptions were collected and data was collected for a period of 6 months (August 2020–January 2021). The variables of interest in this study were: Number of medications in each prescription, number of prescriptions with generic names, number of antibiotics and injectables in each prescription, number of prescribed drugs from essential drug list (EDL), and defined daily dose (DDD).Results: Out of 3058 drugs prescribed, it was found that average number of drugs per prescription was 2.89 (standard deviation ± 1.37). Only 23 (0.75%) were prescribed by generic name. Antibiotics and injectables were 399 (37.78%) and 29 (2.74%), respectively. Drugs that were prescribed from EDL were only 920 (30.08%). The total class of antimicrobial agents prescribed (Anatomical Therapeutic Chemical group J01) was 13. After calculating DDD, DDD of Azithromycin was found to the highest (81.6 g).Conclusion: Among five WHO indicators, only the percentage of encounters with an injection was in compliance with the WHO recommended value. Further studies are required for better understanding of this area." @default.
- W4313324789 created "2023-01-06" @default.
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- W4313324789 date "2022-01-01" @default.
- W4313324789 modified "2023-09-27" @default.
- W4313324789 title "Evaluation of prescribing pattern based on World Health Organization indicators in Maharashtra during COVID-19 pandemic" @default.
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- W4313324789 doi "https://doi.org/10.4103/ijcfm.ijcfm_100_21" @default.
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