Predicting concerns for the mouth among institutionalized elders.
There is a widespread belief that old people do not have healthy mouths, although the reason for this neglect is not clear. A random sample of 41 long-term care facilities in Vancouver was selected--653 residents were examined and about three-quarters of them were interviewed--to find associations between variables that might influence a concern for oral health and to assess the effectiveness of multivariate models for predicting this concern. A bivariate analysis of the data, using chi-square tests, assessed any significant associations between the variables, and three classification techniques--discriminant analysis, logistic regression, and CART (classification and regression trees)--were used to assess the usefulness of the multivariate models. Complaints of oral problems were heard from half (53%) of the sample. Most (85%) of the participants expressed a desire for treatment, while fewer than half (44%) of the participants had used a dental service since entering the facility or in the previous year. The complaints were associated significantly with the subjects who had been to a dentist recently, with those dissatisfied with the cost or quality of previous treatment, and with women. The desire for treatment was associated significantly with the recent use of dental services, and with a lack of concern for the cost of dental treatment, while the use of services was associated significantly with subjects who were younger, dentate, or from the higher socioeconomic groups.(ABSTRACT TRUNCATED AT 250 WORDS)
MacEntee
M I
MI
Department of Clinical Dental Sciences, Faculty of Dentistry, University of British Columbia, Vancouver.
Hill
P M
PM
Wong
G
G
Mojon
P
P
Berkowitz
J
J
Glick
N
N
D000367:Age Factors; D000368:Aged; D000369:Aged, 80 and over; D001955:British Columbia; D016009:Chi-Square Distribution; D016321:Dental Care for Aged / Q000706:statistics & numerical data*; D003752:Dental Health Services / Q000706:statistics & numerical data*; D016002:Discriminant Analysis; D004522:Educational Status; D015438:Health Behavior; D006801:Humans; D007326:Institutionalization / Q000706:statistics & numerical data; D016015:Logistic Models; D015999:Multivariate Analysis; D009909:Oral Health; D010342:Patient Acceptance of Health Care / Q000706:statistics & numerical data; D012737:Sex Factors; D012959:Socioeconomic Factors