ArticleScientific reports2021
Worldwide antipsychotic drug search intensities: pharmacoepidemological estimations based on Google Trends data.
Article in Scientific reports, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 2 of them syntheses that pooled it.
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6 citing papers in PubMed, 2 syntheses or guidelines pooled it.
- Prevalence and predictors of metabolic syndrome among psychiatric patients receiving antipsychotic treatment in Africa: a systematic review and meta-analysis.BMC psychiatry · 2025Pooled it
- Tardive dyskinesia in Asia- current clinical practice and the role of neurologists in the care pathway.Frontiers in neurology · 2024Pooled it
- Oral Adverse Effects of Antipsychotic Medications: A Case/Noncase Analysis of EudraVigilance Data.Oral diseases · 2025Article
- Attention-deficit hyperactivity disorder drug search trends: a Scandinavian perspective.Acta neuropsychiatrica · 2025Article
- Should we be Prescribing Fluphenazine Long-Acting Injectable Formulation?Current psychiatry reports · 2025Review
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Abstract
Prescription patterns of antipsychotic drugs (APDs) are typically sourced from country-specific data. In this study, a digital pharmacoepidemiological approach was used to investigate APD preferences globally. Publicly available data on worldwide web search intensities in Google for 19 typical and 22 atypical APDs were temporally and spatially normalized and correlated with reported prescription data. The results demonstrated an increasing global preference for atypical over typical APDs since 2007, with quetiapine, olanzapine, risperidone, and aripiprazole showing the largest search intensities in 2020. Cross-sectional analysis of 122 countries in 2020 showed pronounced differences in atypical/typical APD preferences that correlated with gross domestic product per capita. In conclusion, the investigation provides temporal and spatial assessments of global APD preferences and shows a trend towards atypical APDs, although with a relative preference for typical APDs in low-income countries. Similar data-sourcing methodologies allow for prospective studies of other prescription drugs.
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