Open AccessPrognostic factor research in Homoeopathy
Author(s) -
Lex Rutten
Publication year - 2016
Publication title -
indian journal of research in homeopathy/indian journal of research in homoeopathy
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.119
H-Index - 2
eISSN - 2320-7094
pISSN - 0974-7168
DOI - 10.4103/0974-7168.179143
Subject(s) - homeopathy , medicine , alternative medicine , population , family medicine , foundation (evidence) , causality (physics) , basic research , traditional medicine , pathology , computer science , environmental health , law , physics , quantum mechanics , library science , political science
Validation of homoeopathic medicines is about validating effectiveness in individual cases. Homoeopathic practitioners base their expectation that a medicine will work on the experience that specific symptoms of the patient indicate specific medicines. The prevalence of such symptoms is higher in a population responding well to a specific medicine than in the remainder of the population. This principle has a solid mathematical foundation in Bayes' theorem, identifies homoeopathic symptoms as prognostic factors, and offers an interesting perspective of individualized research. This kind of research depends on recording symptoms and results of treatment. An important challenge in this research is establishing causality between medicine and improved health. Prognostic factor research could become one of the main pillars of Homoeopathy's scientific identity