Journals / Journal of Biotechnology and Strategic Health Research / 2026 / Cilt: 10 Sayı: 2

Temporal Trends in Online Search Interest in Dental Implant Treatment in Türkiye: A Google Trends–Based Infodemiology Study

Türkiye’de Dental İmplant Tedavisine Yönelik Çevrim İçi Arama İlgisinin Zamansal Eğilimleri: Google Trends Tabanlı Bir İnfodemiyoloji Çalışması

Saim Yanık(HARRAN ÜNİVERSİTESİ)0000-0002-1229-2982
Mehmet Emrah Polat(HARRAN ÜNİVERSİTESİ)0000-0002-3249-1997
Şeğmus Özdemir(HARRAN ÜNİVERSİTESİ)0009-0009-3610-8826
Pages
99–111
Publication Date
2026-09-01
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AI Summary & Key Takeaways

AI Insight
⚡ TL;DR(Too Long; Didn't Read)

Heterogeneous changes around March 2020 and attenuation of CPI associations after time adjustment underscore the importance of accounting for secular trends when interpreting online search behavior.

📌 3 Key Takeaways

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Objective & Hypothesis:ABSTRACT Objective: This study evaluated long-term trends in online search interest in dental implant treatment in Türkiye, level and slope changes around March 2020, and associations with year-on-year Consumer Price Index (CPI) change rates.
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Key Findings & Data:Data from 2004–2025 were used for visual assessment and 2014–2025 for inference.
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Conclusion & Impact:Heterogeneous changes around March 2020 and attenuation of CPI associations after time adjustment underscore the importance of accounting for secular trends when interpreting online search behavior.
🔬Design:Araştırma Makalesi
📍Scope:2020 Verileri
⚙️Variables:Dental İmplantlar · Bilgi Arama Davranışı · İnternet

Abstract

ABSTRACT Objective: This study evaluated long-term trends in online search interest in dental implant treatment in Türkiye, level and slope changes around March 2020, and associations with year-on-year Consumer Price Index (CPI) change rates. Methods: Monthly relative search volume (RSV) data for five implant-related terms were obtained from Google Trends. Data from 2004–2025 were used for visual assessment and 2014–2025 for inference. Trends were evaluated using linear regression with Newey–West heteroskedasticity- and autocorrelation-consistent (HAC) standard errors and the Mann–Kendall test. Changes around March 2020 were examined using segmented regression. CPI–RSV associations were assessed using Spearman and time-adjusted partial Spearman correlations with Benjamini–Hochberg false discovery rate (FDR) correction. Results: All terms showed significant positive trends during 2014–2025 (all HAC p < 0.001); “implant diş” had the highest mean RSV and largest increase. Most terms showed no significant immediate level or slope changes. “Diş implantı” showed an immediate level decrease (β₂=−1.366; p < 0.001) followed by a positive slope change (β₃=0.0256; p < 0.001), whereas “implant fiyat” showed a negative slope change (β₃=−0.0474; p=0.028). Positive unadjusted CPI–RSV associations weakened after time adjustment; only “implant diş” remained significant after FDR correction (ρ=0.335; q < 0.001). Conclusion: Online search interest in dental implant treatment increased during 2014–2025, with patterns varying by terminology. Heterogeneous changes around March 2020 and attenuation of CPI associations after time adjustment underscore the importance of accounting for secular trends when interpreting online search behavior.

Özet

ÖZET Amaç: Bu çalışma, Türkiye’de dental implant tedavisine yönelik çevrim içi arama ilgisinin uzun dönemli eğilimlerini, Mart 2020 çevresindeki düzey ve eğim değişikliklerini ve yıllık Tüketici Fiyat Endeksi (TÜFE) değişim oranlarıyla ilişkilerini değerlendirdi. Yöntem: İmplantla ilişkili beş terime ait aylık göreli arama hacmi (RSV) verileri Google Trends’ten elde edildi. 2004–2025 verileri görsel değerlendirmede, 2014–2025 verileri çıkarımsal analizlerde kullanıldı. Eğilimler, Newey–West değişen varyans ve otokorelasyon tutarlı (HAC) standart hatalara dayalı doğrusal regresyon ve Mann–Kendall testiyle değerlendirildi. Mart 2020 çevresindeki değişiklikler segmentli regresyonla incelendi. TÜFE–RSV ilişkileri Spearman ve zamana göre düzeltilmiş parsiyel Spearman korelasyonlarıyla değerlendirildi; Benjamini–Hochberg yanlış keşif oranı (FDR) düzeltmesi uygulandı. Bulgular: Tüm terimler 2014–2025 döneminde anlamlı pozitif eğilim gösterdi (tüm HAC p < 0,001); “implant diş” en yüksek ortalama RSV ve en büyük artışı sergiledi. Çoğu terimde anlamlı ani düzey veya eğim değişikliği saptanmadı. “Diş implantı” ani düzey azalması (β₂=−1,366; p < 0,001) ve ardından pozitif eğim değişikliği (β₃=0,0256; p < 0,001) gösterirken, “implant fiyat” negatif eğim değişikliği gösterdi (β₃=−0,0474; p=0,028). Pozitif düzeltilmemiş TÜFE–RSV ilişkileri zamana göre düzeltme sonrasında zayıfladı; FDR düzeltmesinden sonra yalnızca “implant diş” anlamlı kaldı (ρ=0,335; q < 0,001). Sonuç: Türkiye’de dental implant tedavisine yönelik çevrim içi arama ilgisi 2014–2025 döneminde arttı ve örüntüler terminolojiye göre farklılaştı. Mart 2020 çevresindeki heterojen değişiklikler ve zamana göre düzeltme sonrasında TÜFE ilişkilerinin zayıflaması, çevrim içi arama davranışları yorumlanırken seküler eğilimlerin dikkate alınmasının önemini göstermektedir.

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Cite This Article

Yanık, S., Polat, M. E., Özdemir, Ş. (2026). Temporal Trends in Online Search Interest in Dental Implant Treatment in Türkiye: A Google Trends–Based Infodemiology Study. Journal of Biotechnology and Strategic Health Research, Cilt: 10 Sayı: 2, 99–111. https://doi.org/10.34084/bshr.1990753

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