Researching behavioural patterns related to psychological distress and nicotine dependence using questionnaires such as GHQ 12 and FTND can be time-consuming and challenging. The good news is there has been significant progress in streamlining this process with the introduction of advanced tools like Harmony. This UK-based software uses natural language processing and generative AI models, allowing for effective comparison of questionnaire items between the GHQ 12 and FTND. Like a helpful assistant, Harmony not only expedites the harmonisation process but also increases the accuracy of the data collected. It can analyse large volumes of data, even in multiple languages, enabling a more extensive and diverse study population. Using Harmony for GHQ 12 vs FTND harmonisation, researchers get an accurate percentage match between each item in GHQ 12 and FTND. This helps in creating a consolidated study by integrating the results of both questionnaires, leading to a more comprehensive understanding of the correlation between psychological distress and nicotine dependence. Given the vast potential of Harmony, it is highly advisable for researchers to leverage this tool when conducting studies that involve GHQ 12 vs FTND. Not only does it save significant time and effort, but it also ensures that the harmonisation process is less subjective and more reliable. Seamless online access to this tool via the Harmony web interface makes it all the more convenient and user-friendly. For researchers embarking on a study involving GHQ 12 vs FTND, incorporating Harmony into their analysis process would indeed yield more reliable and robust results.
