Determinants of patient adherence to consultative comprehensive geriatric assessment recommendations.
BACKGROUND
In consultative models of Comprehensive Geriatric Assessment (CGA), lack of implementation of CGA recommendations is well documented and appears to be a potential explanation for negative findings. The purpose of this study is to identify patient determinants of adherence to recommendations received from a community-based CGA consultative model program.


METHODS
Subjects (N = 139) received self-care and/or physician-initiated CGA recommendations and were interviewed three months later to determine adherence with the most important recommendation, and health belief, communication, and social support factors associated with adherence. Independent variables were organized into the Andersen Behavioral Model for analysis.


RESULTS
At the bivariate level, one predisposing factor (intention) and six enabling factors (low difficulty level, high support, high utility, high self-efficacy, agreement on the importance of the recommendation and good specific communication about the recommendation) were significant determinants of adherence. Two functional health measures and seriousness of the target condition of the recommendation were significant need factors. In the final logistic regression model, one predisposing variable (intention), one enabling variable (utility), and one need factor (high functional status), and two interaction terms significantly predicted adherence.


CONCLUSIONS
CGA recommendations that are seen as worthwhile, not too much trouble, and able to be accomplished are the most likely to be initiated. Older adults with relatively higher functional levels are also more likely to follow through with CGA recommendations even though their needs may be lower. We found the Andersen Behavioral Model useful in the analysis of factors associated with adherence behavior to consultative CGA recommendations.
Frank
J C
JC
Multicampus Program in Geriatric Medicine and Gerontology, School of Medicine, University of California at Los Angeles, USA. frank@medl.medsch.ucla.edu
Hirsch
S H
SH
Chernoff
J
J
Wallace
S P
SP
Abrahamse
A
A
Maly
R
R
Reuben
D B
DB
D000368:Aged; D000369:Aged, 80 and over; D003695:Delivery of Health Care; D005163:Factor Analysis, Statistical; D005260:Female; D015577:Geriatric Assessment; D006801:Humans; D008297:Male; D008960:Models, Psychological; D010349:Patient Compliance