Individualised medicine requires individualised research
Lex Rutten, MD
We can inform the patient about his individual diagnosis because we know how symptoms and tests contribute to this diagnosis. Likewise, we can give the individual the prognosis that a homeopathic medicine will work. We know, say, that the symptom ‘Grinding teeth during sleep’ increases the chance that the homeopathic medicine Belladonna will work. From research in the Netherlands we know that grinding teeth during sleep is more likely in patients responding well to Belladonna: 5.5 times more likely in Belladonna patients than in other people. In statistical terms: the Likelihood Ratio (LR) is 5.5.
Statistics, more specific Bayesian statistics, enable us to calculate the chance that something will happen if the patient has specific symptoms. The research involved is simple: we must know the prevalence of each symptom in the whole population and in populations responding well to specific homeopathic medicines. During the ECH congress we will give some examples how this is done.
Lex Rutten is homeopathic doctor since 1979. Independent researcher since 1998. Studied homeopathy in the Netherlands, Belgium, Germany, Greece, UK. Additional training in statistics and diagnosis/prognosis research. Author of many scientific articles and two books on statistics and research.
Previous member of the board of the Dutch homeopathic doctors association (VHAN). Developed homeopathic software. Member of the research committees of the European Committee for Homeopathy (ECH) and the LMHI. Advisor for data collection of ECH, the Central Council for Research in Homeopathy (CCRH) in India, Clificol, Wisshom. Teaches research methodology in the Netherlands, India and Argentina. Member of the editorial advisory board of the journals Homeopathy and the Indian Journal of Homeopathy Research.