THE INFLUENCE OF NURSING HOME CHARACTERISTICS AND TASK ENVIRONMENT ON COMPLAINTS AND SURVEY PERFORMANCE.
Contributors: University of North Carolina at Chapel Hill.
Published: 1993
Number of pages: 178
Subjects: Health Sciences, Health Care Management.; Health Sciences, Public Health.; Gerontology.
Description: Previous analyses of nursing homes have typically been limited to evaluating the influence of structural indicators on a quality measure. In this dissertation, patterns of nursing care and patient population characteristics were employed to gain a more comprehensive understanding of nursing home violations and complaints.

Two outcome measures--Nursing home survey violations (or deficiencies) and complaints in 1991 were collected for a sample of 195 North Carolina nursing homes. Nonprofit facilities were observed to receive about 2 fewer deficiencies than proprietary facilities. Religious-affiliated nonprofit facilities received significantly fewer complaints than other nonprofit nursing homes and proprietary nursing homes. Negative binomial regression models were employed to test the influence of structural and process measures on the two dependent variables. Facility size, admission rate, and the proportion of patients with decubitus ulcers were found to be positively and significantly related to violations and complaints. An interaction of RN staffing and admission rate was found to be significantly related to violations. Facilities in metropolitan statistical areas (MSAs) were associated with more complaints. A path analysis model indicated a positive association between the proportion of catheterized patients, the proportion of intubated patients, and admission rate and the dependent variable--the proportion of patients with decubitus ulcers. RN staff levels were associated with lower proportions of patients with decubitus ulcers. The use of this model revealed several significant indirect effects on violations and complaints (through decubitus patients), which were not apparent from the initial direct effects regression.
Notes: Source: Dissertation Abstracts International, Volume: 54-04, Section: B, page: 1876.

Thesis (PH.D.)--THE UNIVERSITY OF NORTH CAROLINA AT CHAPEL HILL, 1993.

School code: 0153.