Abstract #301585

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JSM 2003 Abstract #301585
Activity Number: 342
Type: Contributed
Date/Time: Wednesday, August 6, 2003 : 9:00 AM to 10:50 AM
Sponsor: Social Statistics Section
Abstract - #301585
Title: Using Path Analysis to Develop Treatment Models in Long-Term Care
Author(s): Daisha Cipher*+
Companies: University of North Texas
Address: 3500 Camp Bowie Blvd., Fort Worth, TX, 76107-2699,
Keywords: long-term care ; elderly ; quality of life ; path analysis ; goodness of fit
Abstract:

Two clinical treatment models of quality of life in long-term care were tested: A mediational model, which consisted of chronic illness and cognitive impairment as the predictors, pain levels, behavioral dysfunction, and depression as mediators, and quality of life as the response variable. The second model was a nonmediational model. Path analyses revealed the mediational path model of quality of life to be an excellect model fit. The fit indices for the mediational model indicated a good model fit between the data and the model. The chi-square was 5.38 (p = .61),as compared to the nonmediational model that yielded a comparatively poor model fit (25.37, p=.001). The binomial index of model fit for the mediational model was .06, as compared to .66 for the nonmediational model. Other goodness-of-fit indices, such as the GFI, AGFI and RMSEA, also were supportive of the mediational model of quality of life. These results indicate that in order to improve quality of life of residents in long-term care facilities, clinicians must first understand and alleviate the illness severity, cognitive functioning, pain, behaviors, and depression that are contributing to such quality-of-life levels.

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