The proposed project relies upon a combination of primary and secondary data sources assembled at the facility and resident level to test the proposition that residents of nursing homes with formalized, protocol driven approaches to caring for the physiological needs of residents will experience reduced rates of pressure ulcers and lower extremity contractures compared with homes that allow autonomy and clinical decision making discretion but that the opposite relationship will be observed for psychosocial outcomes, such as well-being and distressed mood. A sample of 360 facilities, stratified by ownership, size and urban location will be drawn from the 6 states participating in HCFA's Multi-State Case-Mix Demonstration project. MDS+ data available longitudinally (at 6 and 12 months post-baseline) in computerized form for all residents of homes will be obtained for participating homes as will the most recent MMACS data. Directors of nursing and a unit charge nurse in all homes will be interviewed by telephone to characterize the internal management structure, lines of communication and responses to changes in the environment as well as about the nursing care processes in place to guide staff behavior viz. care planning, service delivery and interaction with residents. The Area Resource File (ARF) will be used to describe the health care and resource environment in which the facility is situated. These four sources of data will be merged and analyses undertaken with the resident as the unit of analysis. We will ascertain whether the data are consistent with our hypothesis that, contingent upon the type of resident outcome (e.g. physiologic vs. psychologic), the relative importance of the type of control and communication strategies in place predict the two types of resident outcome will vary. Further, we will explore the various aspects of nursing home functioning and operation, including staff turnover and other indicators of leadership, and their relationship to whether homes achieve good outcomes in several, or only one, resident outcome domain. This latter exploratory data analysis step is crucial to derive from the theoretical results insights about how to intervene in a nursing home to improve the chance of achieving positive outcomes.

Agency
National Institute of Health (NIH)
Institute
National Institute on Aging (NIA)
Type
Method to Extend Research in Time (MERIT) Award (R37)
Project #
5R37AG011624-10
Application #
6629796
Study Section
Special Emphasis Panel (NSS)
Program Officer
Patmios, Georgeanne E
Project Start
1994-07-01
Project End
2004-06-30
Budget Start
2003-07-15
Budget End
2004-06-30
Support Year
10
Fiscal Year
2003
Total Cost
$258,115
Indirect Cost
Name
Brown University
Department
Miscellaneous
Type
Schools of Medicine
DUNS #
001785542
City
Providence
State
RI
Country
United States
Zip Code
02912
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Liperoti, Rosa; Onder, Graziano; Landi, Francesco et al. (2009) All-cause mortality associated with atypical and conventional antipsychotics among nursing home residents with dementia: a retrospective cohort study. J Clin Psychiatry 70:1340-7
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Zinn, Jacqueline S; Mor, Vincent; Feng, Zhanlian et al. (2007) Doing better to do good: the impact of strategic adaptation on nursing home performance. Health Serv Res 42:1200-18
Mor, Vincent (2006) Defining and measuring quality outcomes in long-term care. J Am Med Dir Assoc 7:532-8; discussion 538-40
Feng, Zhanlian; Grabowski, David C; Intrator, Orna et al. (2006) The effect of state medicaid case-mix payment on nursing home resident acuity. Health Serv Res 41:1317-36
Bourbonniere, Meg; Feng, Zhanlian; Intrator, Orna et al. (2006) The use of contract licensed nursing staff in U.S. nursing homes. Med Care Res Rev 63:88-109
Mor, Vincent; Papandonatos, George; Miller, Susan C (2005) End-of-life hospitalization for African American and non-Latino white nursing home residents: variation by race and a facility's racial composition. J Palliat Med 8:58-68
Intrator, Orna; Feng, Zhanlian; Mor, Vince et al. (2005) The employment of nurse practitioners and physician assistants in U.S. nursing homes. Gerontologist 45:486-95

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