The findings support the hypothetical advantages of shifting medical education to primary care settings, both in encouraging a career in general practice and in the retention of appropriate professional attitudes.
Patients were very satisfied with their homeopathic treatment, both they and their physicians recorded significant improvement. Costs of homeopathic treatment were significantly lower than conventional treatment, and many previously prescribed drugs were discontinued.
Background A novel pandemic disease offered the opportunity to create new, disease-specific, symptom rubrics for the homeopathic repertory. Objective The aim of this study was to discover the relationship between specific symptoms and specific medicines, especially of symptoms occurring frequently in this disease. Materials and Methods Worldwide collection of data in all possible formats by various parties was coordinated by the Liga Medicorum Homeopathica Internationalis. As the data came in, more symptoms were assessed prospectively. Frequent analysis and feedback by electronic newsletters were used to improve the quality of the data. Likelihood ratios (LRs) of symptoms were calculated. An algorithm for combining symptom LRs was programmed and published in the form of an app. The app was tested against 18 well-described successful cases from Hong Kong. Results LRs of common symptoms such as ‘Fatigue’ and ‘Headache’ provided better differentiation between medicines than did existing repertory entries, which are based only on the narrow presence or absence of symptoms. A mini-repertory for COVID-19 symptoms was published and supported by a web-based algorithm. With a choice of 20 common symptoms, this algorithm produced the same outcome as a full homeopathic analysis based upon a larger number of symptoms, including some that are traditionally considered more specific to particular medicines. Conclusion A repertory based on clinical data and LRs can differentiate between homeopathic medicines using a limited number of frequently occurring epidemic symptoms. A Bayesian computer algorithm to combine symptoms can complement a full homeopathic analysis of cases.
This experiment was designed to test the hypothesis put forward by P. Bourkas, A. Delinick and C. Karragiannopoulos of the National Technical University of Athens (NTUA) that Ultra High Succussed Dilutions (UHSD) can be distinguished from control solutions by an Electric Measurement Device (EMD), developed by the NTUA team. A pre-formulated experimental protocol was followed, measuring in random sequence test solutions of double-distilled and deionised water (aqua injectabile), potentised water (6 cH, 30 cH), Natrum muriaticum (Nat mur) potentised in aqua injectabile (6 cH, 30 cH), either blind or open. The number of measurements was determined by a power analysis based on open pilot readings. While the open pilot trial performed by the NTUA team showed a large difference in readings for the controls and test-solutions, the experimental blind test was negative. The only significant difference observed was between Nat mur 6 cH and Nat mur 30 cH, and the direction of the difference was in the opposite direction from that predicted by theory and found in the pilot experiment. No differences were found between any other conditions, and in particular Nat mur 30 cH and aqua 30 cH could not be distinguished. It was suggested that the failure to detect a difference in the main trial resulted from a different brand of water being used in the main trial; the likelihood of this, and other alternative explanations, is discussed. It was concluded that the EMD is a highly sensitive apparatus for measuring impurities in water. As yet there is no obvious link between the measurement of impurities in water and the purported alteration of solvent in the process of homoeopathic potentisation.
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