Factors Affecting the Prescription Pattern of Generic Cardiovascular Medicines: A Cross-Sectional Study in Dhaka City
DOI:
https://doi.org/10.3329/dujps.v20i3.59799Keywords:
Cardiologists, Prescription pattern, Therapeutic class, Generic cardiovascular medicine, Cluster sampling, Chi-square testAbstract
A growing trend of cardiovascular disease is a threat to national health. The objectives of the research are to analyze the association between prescribed generics with doctors’ gender, academic degrees, location of practice and categories of generic medicines. A descriptive cross-sectional Dhaka-based study design was used to assess the prescriptions data. As a primary source of data, 403 prescriptions were collected for twelve months from six different locations of the cardiologists’ practice chamber in Dhaka. A two-stage cluster sampling technique was used to collect prescriptions at a 95% confidence level with a 5% margin of error. For proportional to population size (PPS) sampling, cluster weight of specific areas was determined from a secondary source of data. Chi-Square (2) goodness fit test revealed that gender, academic degrees, location of practice, therapeutic class of cardiovascular generics are statistically significant in association with prescribed generic medicine at a 5% level of significance (pvalues <0.01).
Dhaka Univ. J. Pharm. Sci. 20(3): 337-346, 2022 (June) Centennial Special Issue
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Copyright (c) 2022 Dhaka University Journal of Pharmaceutical Sciences
This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.
© Dhaka University Journal of Pharmaceutical Sciences
Articles in DUJPS are licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.