Infodemiology Meets Pharmacoepidemiology: Search Trends and National Drug Use Patterns for Pain-related Medications in Türkiye

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dc.contributor.authorGüloğlu, Sevtap Badıl
dc.contributor.authorOzen, Gulsev
dc.contributor.authorAşık, Hatice Kübra
dc.contributor.authorFerahman, Demet
dc.contributor.authorSahbaz, Tugba
dc.date.accessioned2026-01-31T15:02:17Z
dc.date.available2026-01-31T15:02:17Z
dc.date.issued2025
dc.departmentİstanbul Beykent Üniversitesi
dc.description.abstractObjective: Musculoskeletal system diseases are a significant global health burden, frequently requiring long-term pharmacological management. While con- ventional databases offer reliable drug consumption data, they often fail to reflect dynamic public interest. Google Trends, as a real-time digital surveillance tool, can provide complementary insights by capturing health-related online search behaviors. This study aimed to evaluate the association between national pharmaceutical consumption and public interest in musculoskeletal and nervous system drugs in Türkiye between 2015 and 2022. Materials and Methods: This retrospective descriptive study integrated OECD pharmaceutical consumption statistics with Google Trends data for selected keywords. Drug use was assessed via per capita expenditure and percentage of total pharmaceutical sales. Relative search volume values were extracted and normalized for keywords such as “painkiller,” “muscle relaxant,” and “osteoarthritis.” Results: Strong positive correlations were identified between analgesic consumption and RSVs for keywords including “painkiller” and “muscle relaxant” (r=0.922, p=0.001), “muscle pain” (r=0.898, p=0.002), and “joint pain” (r=0.826, p=0.011). No significant associations were found for musculoskeletal or an- ti-inflammatory drugs. In turnover-based analyses, certain keywords—especially “joint rheumatism” and “osteoarthritis”—were associated with specific drug categories. Negative correlations between musculoskeletal drug sales and general pain-related searches may suggest a public inclination toward symp- tom-based treatment. Conclusion: Google Trends data closely mirror analgesic consumption patterns, indicating their potential as digital proxies for pharmaceutical demand. Inte- grating such digital tools with traditional data sources may enhance public health surveillance and guide policy decisions.
dc.identifier.doi10.14744/cm.2025.82905
dc.identifier.endpage270
dc.identifier.issn2822-6771
dc.identifier.issue4
dc.identifier.startpage265
dc.identifier.trdizinid1357342
dc.identifier.urihttps://doi.org/10.14744/cm.2025.82905
dc.identifier.urihttps://search.trdizin.gov.tr/tr/yayin/detay/1357342
dc.identifier.urihttps://hdl.handle.net/20.500.12662/10369
dc.identifier.volume17
dc.indekslendigikaynakTR-Dizin
dc.language.isoen
dc.relation.ispartofComprehensive medicine
dc.relation.publicationcategoryMakale - Ulusal Hakemli Dergi - Kurum Öğretim Elemanı
dc.rightsinfo:eu-repo/semantics/openAccess
dc.snmzKA_TR-Dizin_20260128
dc.subjectGoogle trends
dc.subjectdrug utilization
dc.subjectDigital epidemiology
dc.subjectmusculoskeletal system drugs
dc.subjectpharmaceutical consumption
dc.titleInfodemiology Meets Pharmacoepidemiology: Search Trends and National Drug Use Patterns for Pain-related Medications in Türkiye
dc.typeArticle

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