Diş Hekimliğinde Kümeleme Analizi Kullanılarak Ağız Hastalıkları Yükünün Değerlendirilmesi

Year 2025, Volume: 35 Issue: 4, 307 - 311, 21.10.2025

Burcu Aksoy , Zehra Özge Çandereli , Tuğba Emine Beyhan , Şükrü Can Akmansoy , Sertaç Sırma , Meral Yay , Ümit Karaçaylı , Farida Fortune , Gonca Mumcu

https://doi.org/10.17567/currresdentsci.1511785

Abstract

Amaç: Bu çalışmanın amacı, diş hekimliğinde Ağız Hastalıkları Yükü (AHY) için yaşa bağlı homojen grupları K-Ortalamalar kümeleme analizi ile belirlemektir.
Yöntemler: Bu retrospektif çalışmaya, bir kamu diş hekimliği fakültesinin entegre öğrenci kliniklerinde tedavi edilen 465 yetişkin hasta ve 276 yaşlı hasta (K/E: 381/360; 18-91 yaş) dahil edilmiştir. AHY skoru (0-5 puan); periodontal problemler, diş çürüğü, pulpitis, protetik tedavi ihtiyacı ve diş çekim ihtiyacı aracılığıyla hesaplanmıştır. AHY şiddeti için homojen gruplar veri seti içinde K-Ortalamalar kümeleme analizi ile belirlenmiştir.
Bulgular: Periodontal problemlerin en yüksek oranda genç yetişkin hastalarda (%94.0) (küme-1; n=201; 18-36 yaş; AHY: 2,92±1,14) ve yetişkin hastalarda (%87,4) (küme-2; n=199; 37-55 yaş, AHY: 3,28±1,34) görüldüğü, ileri yetişkin hastalarda (%90,7) (küme-3; n=193; 56-70 yaş, AHY: 3,19±1,41) ve yaşlı hastalarda (%87,2) (küme-4; n=148; 71-91 yaş, AHY: 2,33±1,30) ise protetik tedavi ihtiyacının ön planda olduğu belirlenmiştir. Dört küme arasında en yüksek AHY puanı yetişkin hastalarda görülmüştür. İleri yetişkin hastaların AHY puanı yaşlı hastalara göre daha yüksek bulunmuştur (P=,000).
Sonuç: K-Ortalamalar kümeleme analizi ile tanımlanan yaş gruplarıyla birlikte AHY’ye göre farklı tedavi protokolleri veya kompleks tedavilere ihtiyaçların olduğu belirlenmiştir. Bu sonuçlar, ağız sağlığı düzeyinin iyileştirilmesine yönelik hasta güçlendirme stratejisinin geliştirilmesine ve entegre öğrenci kliniklerindeki iş gücünün planlanmasına yönelik ipuçları sağlayabilmektedir.
Anahtar Kelimeler: Ağız hastalıkları yükü, tedavi ihtiyaçları, kümeleme analizi, hasta güçlendirme

Assessment of Oral Disease Burden Using a Cluster Analysis in Dentistry

Abstract

Objective: This study aimed to identify homogeneous groups for Oral Disease Burden (ODB) with age through the K-Means cluster analysis in dentistry.
Methods: In this retrospective study, 465 adult patients and 276 elderly patients treated at integrated students’ clinics in a public dental school (F/M:381/360; 18-91 years) were included. The ODB score (0-5 points) was calculated through the presence of periodontal problems, dental caries, pulpitis, need of prosthetic treatment, and need of tooth extraction. Homogeneous groups for ODB severity were identified within the dataset by K-Means cluster analysis.
Results: The highest ratios of oral health problems were periodontal problems (94.0%) in young adult patients (cluster-1; n=201; 18-36 years; ODB: 2.92±1.14) and (87.4%) in adult patients (cluster-2; n=199; 37-55 years, ODB: 3.28±1.34) and need for prosthetic treatment (90.7%) in older adult patients (cluster-3; n=193; 56-70 years, ODB: 3.19±1.41) and (87.2%) in elderly patients (cluster-4; n=148; 71-91 years, ODB: 2.33±1.30). The highest ODB score was found in adult patients among four clusters. Older adult patients had elevated ODB score compared to that in elderly patients (P=.000).
Conclusion: Needs of different treatment protocols or complex treatments were determined according to ODB with age groups defined by K-Means cluster analysis. These results may provide clues for developing patient empowerment strategies to improve oral health status as well as work force planning in integrated student clinics in dental schools.
Keywords: Oral disease burden, treatment needs, cluster analysis, patient empowerment

Keywords

Oral disease burden , treatment needs , cluster analysis , patient empowerment

Supporting Institution

This study was supported by Marmara University Scientific Research Projects Unit. Project Number: 10206.

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