Evaluating a mental health needs assessment technique on a sample of the elderly population of the New River Valley
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An inâ home survey of 60 older adults was conducted. Needs were defined in terms of problems, services, and community support and were measured across the following mental health areas: 1) Depression; 2) Organic Brain Syndrome; 3) Alcohol and Drug Abuse; 4) Anxiety; 5) Caregiver Problems; 6) Schizophrenia; and 7) Health Habits. The utility of the QOLC model was evaluated via the descriptive conclusions generated by multiple regression analysis of the sample survey data, with QOL as the dependent variable and the different need measures and mental health areas as the independent variables. A cost analysis was also completed comparing the net total cost of the QOLC with the hypothesized net total cost of a more traditional mental health needs assessment (consisting of a key informant plus a service use statistics component). The results suggest that although the QOLC mental health needs assessment costs more than simpler needs assessment techniques, it can yield important information that can prevent wasteful spending on increased direct mental health services and can also be used to determine the criteria that should be used to segment the target population.
- Masters Theses