A comparative study on perception and use of generic drugs between public and private health practitioners.

Context: The perception of generic drugs may vary significantly between government and private doctors because physicians in the private sector have more prescribing choices and flexibility. Hence, this study was undertaken to analyse the knowledge, attitude and perception (KAP) of government and private physicians on generic drugs. Materials and Methods: This was a questionnaire-based cross-sectional study conducted among physicians working in public and private health sectors. The questionnaire had 25 closed-ended questions related to the KAP of generic medicine. The overall scores were categorised using Bloom's cut-off point. The Chi-square or Mann-Whitney U-test was used to compare the differences between the two groups. Results: About 80% of the participants in both groups agreed that generic medicines contain the same active ingredients as brand-name drugs, are less expensive and are available in the Indian market. Nearly 84% of government physicians and only 64% of private physicians believed that generic medicines are just as effective and secure as branded medicines (P - 0.003). The majority of physicians from both groups concurred that there is a lack of quality check in generic drug manufacturing, and they require more information about bioequivalence studies. In both categories, about 75% of participants preferred generic medications for their patients. However, in both groups, more than 50% of physicians were concerned about therapeutic failure and expressed reluctance to prescribe generic medications in life-threatening situations. Conclusions: Knowledge and acceptance of generic drugs regarding efficacy, safety, bioequivalence and therapeutic failure are low among both government and private physicians.

Sociocultural and drug-related factors associated with adherence to iron-folic acid supplementation among pregnant women - A mixed-methods study.

BACKGROUND: The National Family Health Survey of India (NFHS-5) revealed a lapse in the advancement of mitigating anemia despite free supplementation of iron-folic acid tablets (IFAT) and improvement in IFAT coverage during pregnancy. The local sociocultural beliefs and community perspective toward IFAT are pivotal in reducing the gap between IFAT coverage and consumption. Hence, we proposed the study to assess adherence to IFAT among rural pregnant women and explore the associated factors. MATERIALS AND METHODS: The present study was conducted as a mixed-methods study with a sequential exploratory design in a rural setting of the Model Rural Health Research Unit (MRHRU) from October 2020 to May 2021. Ten focus group discussions (FGDs; 8 - antenatal women, 1 - mother/mother-in-law, and 1 - health care worker) were conducted, and framework analysis was done to identify themes followed by a quantitative survey with a semi-structured questionnaire among antenatal women (n = 236). Logistic regression was used to analyze factors associated with adherence. RESULTS: The major themes that emerged from FGDs were the sociocultural factors (gender norms, communal fallacies), lack of awareness, and drug-related factors (unpalatability, misperceptions, and experienced side effects). Around 57% were adherent to IFAT. Side effects experienced on IFAT intake (P = 0.001, OR = 2.33), misconceptions regarding IFAT, like weight gain in IFAT use (P = 0.001, OR = 2.86), a big baby with IFAT use (P = 0.000, OR = 5.93) negatively influenced adherence. CONCLUSIONS: The significant gaps between IFAT coverage and consumption surrounded the unpleasant odor and stench of IFAT, side effects, lack of individualized counseling, and misperceptions regarding IFAT use.

Evaluation of glycemic status among hypercholesterolemic patients on atorvastatin in a tertiary care hospital - A retrospective study.

INTRODUCTION: Statins are effective in reducing low-density lipoprotein cholesterol and are favorable in primary and secondary prevention of cardiovascular disease. Recent large trials have linked the use of statins and increased incidence of new-onset diabetes mellitus, the possibility of worsening of glucose level in individuals with diabetes following statin therapy, and this possibility is increased with the use of atorvastatin. This study was undertaken to analyze the possibility of the diabetogenic potential of atorvastatin among hypercholesterolemic patients. MATERIALS AND METHODS: This retrospective cohort study was conducted in the cardiology department from July 2019 to December 2019. Patients on atorvastatin for more than 6 months with normoglycemia on commencement of therapy were included. The occurrence of prediabetes or new-onset diabetes mellitus after atorvastatin therapy is the outcome of the study. Adverse drug effects to atorvastatin were also recorded and WHO-UMC causality assessment was performed. Descriptive statistics were performed for baseline and demographic characteristics. RESULTS: Sixty study participants were included in the study. Eighteen (30%) study participants developed prediabetes with an HbA1c value of 5.97 ± 0.22 and 17 (28%) of participants developed new-onset diabetes mellitus with an HbA1c value of 7.24 ± 0.50. Atorvastatin at dose of 40 mg was found to be the most frequently prescribed dose. CONCLUSION: Atorvastatin has a dose-dependent risk of developing new-onset diabetes mellitus. Hence, the following statin therapy glycemic status should be periodically monitored especially in patients with a large dose of atorvastatin and also in patients with higher risk factors for diabetes.

Pharmacogenomic landscape of COVID-19 therapies from Indian population genomes.

Aim: Numerous drugs are being widely prescribed for COVID-19 treatment without any direct evidence for the drug safety/efficacy in patients across diverse ethnic populations. Materials & methods: We analyzed whole genomes of 1029 Indian individuals (IndiGen) to understand the extent of drug-gene (pharmacogenetic), drug-drug and drug-drug-gene interactions associated with COVID-19 therapy in the Indian population. Results: We identified 30 clinically significant pharmacogenetic variants and 73 predicted deleterious pharmacogenetic variants. COVID-19-associated pharmacogenes were substantially overlapped with those of metabolic disorder therapeutics. CYP3A4, ABCB1 and ALB are the most shared pharmacogenes. Fifteen COVID-19 therapeutics were predicted as likely drug-drug interaction candidates when used with four CYP inhibitor drugs. Conclusion: Our findings provide actionable insights for future validation studies and improved clinical decisions for COVID-19 therapy in Indians.

Genetic epidemiology of autoinflammatory disease variants in Indian population from 1029 whole genomes.

BACKGROUND: Autoinflammatory disorders are the group of inherited inflammatory disorders caused due to the genetic defect in the genes that regulates innate immune systems. These have been clinically characterized based on the duration and occurrence of unprovoked fever, skin rash, and patient's ancestry. There are several autoinflammatory disorders that are found to be prevalent in a specific population and whose disease genetic epidemiology within the population has been well understood. However, India has a limited number of genetic studies reported for autoinflammatory disorders till date. The whole genome sequencing and analysis of 1029 Indian individuals performed under the IndiGen project persuaded us to perform the genetic epidemiology of the autoinflammatory disorders in India. RESULTS: We have systematically annotated the genetic variants of 56 genes implicated in autoinflammatory disorder. These genetic variants were reclassified into five categories (i.e., pathogenic, likely pathogenic, benign, likely benign, and variant of uncertain significance (VUS)) according to the American College of Medical Genetics and Association of Molecular pathology (ACMG-AMP) guidelines. Our analysis revealed 20 pathogenic and likely pathogenic variants with significant differences in the allele frequency compared with the global population. We also found six causal founder variants in the IndiGen dataset belonging to different ancestry. We have performed haplotype prediction analysis for founder mutations haplotype that reveals the admixture of the South Asian population with other populations. The cumulative carrier frequency of the autoinflammatory disorder in India was found to be 3.5% which is much higher than reported. CONCLUSION: With such frequency in the Indian population, there is a great need for awareness among clinicians as well as the general public regarding the autoinflammatory disorder. To the best of our knowledge, this is the first and most comprehensive population scale genetic epidemiological study being reported from India.