Factors Related to Working-Aged Nursing Home Residents’ Preferences and Opportunities for De-Institutionalization in Maryland Annette E. Snyder, Ph.D.

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Presentation transcript:

Factors Related to Working-Aged Nursing Home Residents’ Preferences and Opportunities for De-Institutionalization in Maryland Annette E. Snyder, Ph.D. Center for Health Program Development University of Maryland, Baltimore County Nancy A. Miller, Ph.D. Department of Public Policy University of Maryland, Baltimore County

Overview The issue Methodology Findings

Numbers of younger NH residents increasing in Maryland and nationally In Maryland, the number of working-aged nursing home residents increased 43 percent from (from 3,090 to 4,365) Proportion of working-aged adults was 15.1 to 20 percent higher in Maryland than in the United States from 1999 to 2001 The Issue

Nursing Home Residents by Age Group Under 65: Maryland Compared to the United States

Living in the Community is Better… High public cost for nursing home care  Possible cost savings Improved outcomes for individuals, families, and the community Nursing home residency is associated with a reduced quality of life— –Limited autonomy and privacy –Increased morbidity and mortality –Individual impoverishment

Social and Political Context for De-institutionalization Actions towards full social integration for people with disabilities: Rehabilitation Act 1973 Americans with Disabilities Act 1990 Home and Community-Based Waivers Olmstead Decision 1999 New Freedom Initiative (Real Choices Systems Change Grants 2001)

Objective today…. To explore the impact of two prominent factors associated with discharge to the community and continuing stays in nursing homes, among working-aged residents. 1. Preference 2. Social Support

Hypotheses H1 Non-elderly nursing home residents who express a preference to return to the community are more likely to do so than those who do not express this preference. H2Non-elderly nursing home residents who have someone who is supportive of their return to the community are more likely to do so than those who do not have support.

Theoretical Model Based on the Andersen Behavioral Model of Health Care Utilization Individual Perceived Need Resident preference or not to live in the community Predisposing Characteristics Need Enabling Resources Individual Personal Support for Community Discharge HEALTH BEHAVIORS AND OUTCOMES (Service Utilization) INDIVIDUAL FACTORS CONTEXTUAL FACTORS

Methodology Data Long-Term Care Minimum Data Set (MDS) Population The study population consisted of 27,527 Maryland nursing home residents, who were years of age upon admission, from June 1999 and July 2005 Statistical Method Cox Proportional Hazard regression models are used to estimate the predictive strength of selected covariates

Study Variables Demographics Age Race/ethnicity Marital status Gender Education Other individual factors Living alone Prior institutional residence History of mental illness Medicare assessment during study period Other MDS measures Discharge preferences (Q.1.a) Availability of community support (Q.1.b) Projected length of stay Censoring variable—Discharge

Resident Assessment Protocols 1. Delirium 2. Cognitive Loss/Dementia 3. Visual Function 4. Communication 5. ADL Functional/Rehabilitation Potential 6. Urinary Incontinence and Indwelling Catheter 7. Psychosocial Well-Being 8. Mood State 9. Behavior Problems 10. Activities 11. Falls 12. Nutritional Status 13. Feeding Tubes 14. Dehydration/Fluid Maintenance 15. Dental Care 16. Pressure Ulcers 17. Psychotropic Drug Use 18. Physical Restraints

Delirium MDS Question SummaryMDS Variable and Trigger Value Easily DistractedB5a=2 Periods of Altered Perception or Awareness of Surroundings B5b=2 Episodes of Disorganized SpeechB5c=2 Period of RestlessnessB5d=2 Periods of LethargyB5e=2 Mental Function Varies Over the Course of the DayB5f=2 Cognitive DeclineB6=2 Mood DeclineE3=2 Behavior DeclineE5=2

Pressure Ulcer MDS Question SummaryMDS Variable and Trigger Value Bed mobility problemG1aa=1,2,3, or 4 Bedfast all or most of timeG6a=checked Bowel incontinenceH1a=1,2,3, or 4 Peripheral vascular disease riskI1j=checked Pressure ulcers presentM2a=1,2,3, or 4 Skin desensitized to pain or pressureM4e=checked

Covariate Hazard Ratios for “Risk” of Discharge Preference to live in the Community Support

Adjusted Survival Curves Showing Stratified Preference to Return to the Community No = Yes= Survival Function Estimate

Adjusted Survival Curve Showing Stratification of Support for Returning to the Community Survival Function Estimate No = Yes=

Preference & Community Support Models Model Degrees of Freedom Final -2 Log Likelihood 1 Base Model (with Q1a and Q1b) Without either Q1a or Q1b With Q1a/Without Q1b With Q1b/Without Q1a Model 1 and Model 2 difference = 44,010, 2 df  Chi square p=0.000 Model 1 and Model 3 difference =43,761, 1 df  Chi square p=0.000 Model 1 and Mode 4 difference =43,485, 1 df  Chi square p=0.000 Model 2 and Model 3 difference = 250, 1 df.  Chi square p=.001 Model 2 and Model 4 difference= 525.7, 1 df  Chi square p=.001

Conclusions 1.Social supports are important 2.Having a preference to live in the community matters a great deal 3.Univariate and multivariate analyses in this study show that race matters 4.A number of clinical issues that should not necessitate institutionalization appear to significantly decrease the likelihood of discharge ** Though not included in this study… 5.Housing opportunities are critical to the success of transitioning people who live in institutions to the community. 6.There appears to be an inadequate workforce of qualified people, for the safe delivery of community- based services due to issues such as inadequate compensation, training, and oversight **

Prior Stay in a Mental Health Facility Cognitive Loss Prior Stay in Another Nursing Home Feeding Tubes Urinary Incontinence Conditions Associated with a Decreased Likelihood of Discharge**

Annette E. Snyder, Ph.D. Nancy A. Miller, Ph.D. Thank you.