Post-development sentiment and statistical analysis of different groups of psychiatric medications
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EJTCM_2024_7_1_Toosi.pdf (580.79 KB)
Date
2024-06-28
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Medical University of Gdańsk
Abstract
Background: medications are complex and influence the body in multiple ways. Post-development analysis of medications remains highly advantageous, as it allows for comprehensive understanding of the safety profile over extended periods and can direct future improvements to enhance the therapeutic benefits while minimizing risks. Our primary goal was to examine whether a substantial relationship exists between such patient experiences and the statistical analysis of data about the same medications from clinical trials. Methods: Patient feedback regarding medication commonly prescribed for psychiatric conditions was obtained from a publicly available website webmd.com. We searched clinicaltrials.gov for statistical analysis regarding the same medications. Data from webmd.com was subjected to sentiment analysis, while clinicaltrails.gov data underwent statistical analysis. Results: the findings suggest a general connection between the two data sources. Medications with a greater amount of patient feedback generally attract more research attention, although with some exceptions. Additionally, medications approved for children receive less feedback online compared to those for adults and seniors. Medications for seniors receive more positive and neutral feedback in contrast to those for children and adults. Conclusions: online platforms offer a space for patients to share their experiences with using specific medications, potentially contributing to the enhancement of patient care and aiding researchers in further studies.
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Citation
Toosi FG, Toussi AG. Post-development sentiment and statistical analysis of different groups of psychiatric medications. Eur J Transl Clin Med. 2024;7(1):47-56. DOI: 10.31373/ejtcm/189561