4194.0: Tuesday, November 14, 2000 - 2:48 PM

Abstract #4016

Analysis of the factors affecting some outcome measures at adult care centers and in-home aide programs

Linfeng Xu1, Zhimei Liu1, Frederick S. Johnson2, and Sally C. Stearns1. (1) Dept. of Health Policy and Administration, University of North Carolina at Chapel Hill, CB# 7400, McGavran-Greenberg, Chapel Hill, NC 27599, 919-9143512, lxu@email.unc.edu, (2) Resources for Seniors, Wake County, North Carolina

Objective: In recent years, services provided by adult day care centers and in-home aide programs are playing increasingly important roles as being complementary to nursing homes to provide long-term cares for the elderly in U.S.A. It is therefore of great policy interest to understand whom these programs are admitting and what factors affect the outcomes of these programs. This paper intends to serve this purpose by analyzing a panel data from Resources for Seniors, a non-profit organization with adult day care centers and in-home aide programs in North Carolina. Method: 564 clients (1367 observations) defined the population investigated. Panel data analysis techniques, such as random effect models, as well as survival analysis were used to deal with the problems related to intra-class correlation and censoring. Outcome measures included ADLs, IADLs, MMSE, GDS, and length of stay, etc. Results: The characteristics of the clients at adult day care centers and in-home aide programs were described. Age, health status at entering the program, service types were main factors affecting the outcomes of these programs. Clients at adult day care center were found to have lower odds ratio to die at home or in hospitals than other programs after control for the confounding factors. Race, service type and IADLs determined the service intensity, such as the total service hours per month.

Learning Objectives: 1) To learn the charateristics of the clients at community-based adult day care centers and in-home aide programs; 2) To identify factors that affect outcomes in these programs; 3) To understand and to be able to use advanced statistical techniques,such as survival analysis, random effect models, to analyze panel data with censoring problem, which is typical for data collected in these programs

Keywords: Outcome Measures, Community-Based Health Care

Presenting author's disclosure statement:
Organization/institution whose products or services will be discussed: Resources for Seniors, Wake County, North Carolina
I do not have any significant financial interest/arrangement or affiliation with any organization/institution whose products or services are being discussed in this session.

The 128th Annual Meeting of APHA