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Discriminant analysis of patients’ reasons for choosing or refusing treatments for partial edentulism
Author(s) -
LELES C. R.,
MARTINS R. R.,
SILVA E. T.,
NUNES M. F.
Publication year - 2009
Publication title -
journal of oral rehabilitation
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.991
H-Index - 93
eISSN - 1365-2842
pISSN - 0305-182X
DOI - 10.1111/j.1365-2842.2009.02018.x
Subject(s) - edentulism , dentures , logistic regression , medicine , likert scale , dentistry , quality of life (healthcare) , removable partial denture , linear discriminant analysis , descriptive statistics , discriminant function analysis , oral health , psychology , nursing , statistics , mathematics , developmental psychology
Summary The aim of the study was to explore partially edentulous patients’ reasons for choosing or refusing prosthodontic treatment with removable partial dentures (RPD), fixed partial dentures (FPD) and implant partial dentures (IPD). Clinical and oral health‐related quality of life measures were collected from 165 partially edentulous patients undergoing treatment. Patients’ preferences were recorded and reasons for choosing or refusing treatments were measured with 32 questions using a five‐point Likert scale. Descriptive statistics, chi‐square and multiple logistic regression were used to compare patients’ preferences according to clinical variables. Discriminant analysis was used to examine the impact of each reason for a patient’s decision to choose or refuse treatment options. Results showed that older patients ( P < 0·001) and with greater oral‐related quality of life impacts ( P < 0·05) were more likely to choose RPD. IPD were preferred by patients with higher education levels ( P < 0·01). Discriminant functions revealed that the desire to have a fixed or removable denture had great impact on preferences. Removal of tooth structure was the main reason for refusing FPD and financial cost had a great impact on refusing IPD. Overall agreement between observed patients’ decisions and those predicted by the discriminant function was >90% for all treatments. Reasons vary greatly among patients, and the role of individual perception of potential reasons for treatment selection was the most important determinants of patients’ decisions. The main reasons for choosing or refusing treatments focused in this study can be used to guide shared decision‐making, providing treatments that better match patients’ expectations and desires.