The prevalence of mental health disorders among the nursing home population is well recognized. However, providing adequate mental health services for nursing home residents who need them remains a challenging endeavor. The social support of family has long been recognized as a key resource for older adults with a mental health history and older adults residing in nursing homes. The purpose of this study is to examine the quality of mental health care provided for nursing home residents with a mental health history and to determine if family support influences the quality of their mental health care accounting for other facility resident and facility organizational characteristics. The study utilized a retrospective, cross-sectional design with 2003 national Online Survey Certification and Reporting (OSCAR) facility data merged with the resident-level Minimum Data Set (MDS) resulting in N=2,499 nursing homes. Guided by the convoy model of social support and socioemotional selectivity theory, descriptive statistics and exploratory factor analysis were used to create a profile of facility level data of nursing home residents with a mental health history, explore the role of family support, and determine if items within the OSCAR and MDS databases could respectively be used to measure mental health care quality and family support. Overall, it was found that families have a positive relationship with their relatives and are involved in their lives. Additionally, items within the OSCAR and MDS databases could be used to measure mental health care quality and family support. Finally, facility organizational characteristics explained more variation in the quality of mental health care than did facility resident, family support, or market characteristics. In sum, to enhance the quality of mental health care in nursing homes, partnering with families may be an important tool to meet resident needs.
Identifer | oai:union.ndltd.org:ucf.edu/oai:stars.library.ucf.edu:etd-4983 |
Date | 01 January 2009 |
Creators | Frahm, Kathryn |
Publisher | STARS |
Source Sets | University of Central Florida |
Language | English |
Detected Language | English |
Type | text |
Format | application/pdf |
Source | Electronic Theses and Dissertations |
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