What are the challenges in carrying out RCTs in Ayurveda

It is true that Ayurveda has faced criticism for a perceived lack of evidence, especially in the context of randomized controlled trials (RCTs). However, conducting RCTs in Ayurveda can be a complex and challenging process due to the unique nature of Ayurvedic treatments, which are often personalized and holistic in nature.

 One of the fundamental principles of Ayurveda is that each individual is unique, and therefore requires a personalised approach to treatment. This makes it difficult to design and conduct RCTs in Ayurveda, as it may be difficult to standardise treatments and compare them across a large and diverse population.

 Furthermore, Ayurveda treatments often involve a combination of therapies, including herbal remedies, dietary changes, and lifestyle modifications. It can be challenging to isolate the effects of a single treatment in this context, which is another obstacle to conducting RCTs.

 Despite these challenges, there has been growing interest in conducting rigorous scientific studies on Ayurvedic treatments. In recent years, there have been several RCTs conducted on Ayurvedic treatments, including studies on the use of Ayurvedic medicines in the treatment of diabetes, rheumatoid arthritis, and other conditions.

 In addition to RCTs, there are other forms of evidence that can support the use of Ayurvedic treatments. For example, huge sample size observational studies, black box design and n of 1 trial and traditional knowledge can all provide valuable insights into the safety and efficacy of Ayurvedic treatments.

 Overall, while conducting RCTs in Ayurveda can be challenging, there is growing interest and effort to generate high-quality evidence to support the use of Ayurvedic treatments.

Yes, but we cannot deny the basic tenants of Research, like reproducibility, without any bias, or generalizability. Randomisation helps us in removing confounding factors, how we will address that

By large sample size observational studies, we can reduce confounders.