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  • About
  • The Global ETD Search service is a free service for researchers to find electronic theses and dissertations. This service is provided by the Networked Digital Library of Theses and Dissertations.
    Our metadata is collected from universities around the world. If you manage a university/consortium/country archive and want to be added, details can be found on the NDLTD website.
1

Predictors of Health Care and Social Service Utilization and Perceived Need Among the Disabled Elderly in Canada

Dietz, Tracy L. 08 1900 (has links)
The world has experienced a tremendous growth in its elderly population. With the aging of the population, policy makers are concerned about the health of these elderly as well as their utilization of health care and social services and perceived need for additional services. The Canadian elderly population is similar to other elderly populations in that a few tend to be the heaviest users of the available services. The predictors of this utilization behavior and perceived need primarily include need variables, such as the number of limitations of daily living -- both ADLs and IADLs, and functional limitations. In addition, enabling variables, such as income, work activity and geographic region of residence were also found to be significant.
2

The Developmentally Disabled Elderly in Canada: Access to Health Care and Social Services

Easterling, Calvin Henry 08 1900 (has links)
The accessibility, predictors, and use of health care and social services among developmentally disabled elderly adults in Canada were examined using a nationally representative social survey. The first research hypothesis is that the independent variables will contribute significantly to the prediction of the dependent variables. A second hypothesis is that the slope of any given independent variable will not equal zero. The results of this research show that the illness (need) variables are the most predictive correlate of the utilization of health care and social services. The predisposing variables have secondary explanatory power, with the enabling variables accounting for the least amount of variance. The hypotheses were tested by step-wise multiple regression analysis using SPSS-X.

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