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Updated: Feb 27, 2026

Oral Health Assessment by Lay Personnel for Older Adults
Published on: February 2, 2020
Relation between Clinical Oral Dryness Score and Denture Satisfaction among Patients' in a Tertiary Care Centre,
Radhika Doppalapudi1, Sudhakar Vundavalli2, A Kaleswara Rao3
1Senior Lecturer, Department of Oral Medicine and Radiology, Lenora Institute of Dental Sciences, Rajanagaram Rajahmundry, Andhra Pradesh, India.
Introduction:
Xerostomia is a subjective feeling of dryness commonly seen in elderly populations which impairs the quality of life. Due to loss of lubricating property of saliva the buccal mucosa, tongue and lips tend to stick leading to dry, freckled, ulcerated and sore mucosa which is of major concern to the patient to use complete denture.
Aim:
The aim of the study was to assess the relation between oral dryness score and denture satisfaction among elderly patients.
Materials And Methods:
A cross-sectional study was conducted in prosthodontics department of a dental institution. Patients wearing dentures for at least six months were invited to participate in study. Visual Analogue Scale (VAS) with scores ranging from 0-100 was used to assess patient's satisfaction and clinical oral dryness score was assessed using the criteria described by Osailan SM et al., with scores ranging from 0-10. Data was analysed with SPSS software (version-20) and Kendall's tau-b correlation was used to determine the relationship between mean denture satisfactions and mean clinical oral dryness scores.
Results:
A total of 220 participants were included in the study based on inclusion criteria. Mean dryness score of the participants was 1.8±0.6 and mean VAS-score for denture satisfaction was 74.32±21.20 for aesthetics, for chewing ability the mean score was 62.31±19.64 and for phonetics it was 67.82±30.60. Strong negative correlation between VAS-scores and oral dryness scores was observed.
Conclusion:
Clinical oral dryness score is one of the important factors which influence denture satisfaction. Dentist should consider in predicting prognosis.
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