Impact of community delivery models on quality of life
This study examines the Money Follows the Person (MFP) program quality of life (QoL) outcomes to display similarities and differences experienced by three consumer populations. Matched surveys from a panel study analyzed MFP participants' QoL pre- and post-transition from an institutional setting. Utilizing Mathematica's summary of QoL outcome measures and the Reinhard et al. (2011) definition of QoL, a factor analysis was conducted to produce a valid 10-item scale with three components: safety, respect (a = 0.73), and community integration (a = 0.61). Descriptive statistics, bivariate analyses, and regression models were used to assess potential correlations of QoL and six predictors: age, sex, target population, living environment, home setting, and length of stay in the institution. The study population included 323 MFP participants in Georgia that completed a pre-transition survey and post-transition survey from January 2009 to September 2012. Overall, the participants reported higher QoL post-transition. Bivariate associations displayed that total length of stay (r = 0.147, p = 0.23), home setting (r = 0.177, p = 0.005), and a developmentally disabled (DD) diagnosis (r = 3.55, p = 0.000) were positively associated with QoL, while a physically disabled (PD) (r = -0.262, p = 0.000) and older adult (OA) diagnoses (r = -0.166, p = 0.009) were negatively associated. The regression models discovered that a DD diagnosis (b = 0.329, p = 0.000), PD diagnosis (b = -0.231, p = 0.001), and the length of stay (b = 0.155, p = 0.021) significantly predicted QoL at first year follow-up.
Conduct evaluation related to programs, research, and other areas of practice
Public health or related public policy
Public health or related research
Compare the pre- and post-transition quality of life outcomes of participants in the Money Follows the Person program.
Identify certain variables which predict a higher quality of life post-transition for the program's three target populations.
Discuss predictors of quality of life that could impact program targeting and service planning.
Keyword(s): Quality of Life, Long-Term Care
Presenting author's disclosure statement:
Qualified on the content I am responsible for because: Brittney Romanson is a Research Associate I at the Georgia Health Policy Center, where she has been a generalist researcher since 2012. Her projects include evaluation of the Money Follows the Person program, coordination of the Legislative Health Policy Certificate Program, and work within a systems planning tool.
Any relevant financial relationships? No
I agree to comply with the American Public Health Association Conflict of Interest and Commercial Support Guidelines,
and to disclose to the participants any off-label or experimental uses of a commercial product or service discussed
in my presentation.