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Journal of Drug Research in Ayurvedic Sciences
2019
January- March
;
4
(1)
:33- 38
Pharmacovigilance in Ayurveda: Statistical Input for Signal Detection
Arunabh Tripathi (1)
,
Arunabh Tripathi (1)
,
Rohit Sharma (2)
,
Rohit Sharma (2)
,
Achintya Mitra (3)
,
Achintya Mitra (3)
,
Rohit K Ravte (3)
,
Rohit K Ravte (3)
,
Jayram Hazra (3)
,
Jayram Hazra (3)
,
T Saketh Ram (1)
,
T Saketh Ram (1)
1. National Institute of Indian Medical Heritage, Central Council for Research in Ayurvedic Sciences, Ministry of AYUSH, Hyderabad, Telangana, India 2. Department of Rasa Shastra and Bhaishajya Kalpana, Faculty of Ayurveda, Institute of Medical Sciences, Banaras Hindu University, Varanasi, Uttar Pradesh, India 3. Central Ayurveda Research Institute for Drug Development, Kolkata, West Bengal, India
Abstract
Aim: To review the intrinsic tenants available for safe drug usage in Ayurveda and to contextualize the statistical signal detection techniques of current times in terms of Ayurvedic pharmacovigilance program. Materials and methods: Streamlining the information to develop a database that differentiates between known adverse drug reactions (ADRs) from hitherto unknown drug reactions per the standard definition of ADR. To introduce amicable statistical methods viz., Chi-square test, odds ratio (OR), and logistic regression for signal detection. Results and conclusion: The proposed method of developing a known ADR and safe drug usage practices described in Ayurveda that followed the application of standard operating procedures for signal detection as per the pharmacovigilance program by applying statistical methods suggested will ensure pragmatic signal detection. Keywords: Adverse drug reaction, Logistic regression, Pharmacovigilance, Signal detection
DHARA ID:
D060768
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