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Structural equation modeling for factors influencing patients' willingness to replace removable dentures
Yuka Abe1, Takashi Matsumoto1, Hiroyuki Watanabe1
1Department of Prosthodontics, School of Dentistry, Showa University.
Journal of Oral Science
|May 27, 2021
Summary
Patients are more likely to replace dentures when they perceive poor denture quality, while good oral health reduces this likelihood. These factors influence shared decision-making for denture replacement.
Area of Science:
- Geriatric Dentistry
- Prosthodontics
- Health Services Research
Background:
- Removable dentures are crucial for oral function and quality of life in many patients.
- Understanding factors influencing denture replacement decisions is vital for effective patient care.
Purpose of the Study:
- To identify key factors influencing patients' willingness to replace their removable dentures.
- To analyze the relationships between perceived denture quality, oral health, and replacement decisions using structural equation modeling.
Main Methods:
- 153 patients seeking denture consultations were surveyed on denture quality, general health-related quality of life, and oral health-related quality of life.
- Denture quality was also assessed by dental clinicians.
- Structural equation modeling (SEM) analyzed the influence of various factors on the decision to replace dentures.
Main Results:
- The SEM model demonstrated a strong fit, indicating reliable findings.
- Poor denture quality was a significant predictor, increasing the likelihood of denture replacement (standardized total effect = 0.503).
- Good oral health was associated with a decreased likelihood of denture replacement (standardized total effect = -0.154).
Conclusions:
- Patient willingness to replace dentures is influenced by a combination of perceived denture quality and oral health status.
- These findings underscore the importance of comprehensive pretreatment assessments in shared decision-making for denture replacement.
- Understanding these factors can improve treatment planning and patient satisfaction.
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