ArticleIndian journal of psychiatry2025
Monitoring pregabalin use through online interest: A trend analysis using google search and consumption data.
Article in Indian journal of psychiatry, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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Abstract
Background: Google Trends (GT) offers the novel approach for real-time monitoring of pregabalin-related online interest. Aim: We examined whether the online interest in pregabalin captured by GT could approximate temporal trends and correlate with cross-national and state-level patterns of pregabalin consumption globally and in India. Methods: Relative Search Volume (RSV) for "pregabalin" was retrieved from GT for global and Indian data (2008-2018). Consumption data were sourced from the IQVIA-MIDAS database and expressed as defined daily doses per 10,000 inhabitants per day (DDD/TID). For India, in the absence of state-level pregabalin consumption data, prevalence of opioid and sedative use was used as proxy indicators. Temporal trends were analyzed using Locally Weighted Scatterplot Smoothing, changepoint analysis, and cross-correlation function (CCF) with lagged regression. Pearson's correlation assessed cross-sectional associations between RSV and consumption data across 42 countries (2018) and 32 Indian states (2019). Results: Online interest in pregabalin increased significantly over time globally (F = 202.28, Conclusion: GT has a potential role in monitoring online interest related to pregabalin, which may serve as an indirect indicator of public engagement or awareness.
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