177948
Disparities in Hospital Utilization at the End of Life: Influence of Age, Race, Insurance Type, and Hospital Capacity
Wednesday, October 29, 2008: 1:15 PM
Brenda Ohta, MSG, MSW
,
Sociology Program, School of Social and Family Dynamics, Arizona State University, Tempe, AZ
Jennie Jacobs Kronenfeld, PhD
,
Sociology Program, School of Social and Family Dynamics, Arizona State University, Tempe, AZ
Purpose: This study examines hospital utilization at the end of life for older adults and the influence of patient characteristics in comparison to health system characteristics. Design and Methods: Within Maricopa County, Arizona, hospital utilization data were obtained for all non-traumatic, inpatient deaths (n=3,409) for 2006. Age, gender, race/ethnicity, health insurance, clinical severity, and hospital bed capacity were explored in relationship to hospital utilization (i.e., duration of hospital admission), intensive care utilization, and mechanical ventilation. Results: Multivariate regression analysis indicates that, controlling for hospital bed capacity and clinical severity, race/ethnicity was not significant, while advanced patient age (p< .05) and lack of health plan (p< .001) were significantly related to shorter duration of the terminal hospitalization. Logistic regression analysis further identified that race/ethnicity was significantly related to increased odds of intensive care utilization and mechanical ventilation for minorities in comparison to whites (for Hispanics, p< .005; Native Americans, p<.05). Greater hospital bed capacity had a significant, positive relationship to increased hospital duration, intensive care utilization, and mechanical ventilation. Implications: The results regarding advanced age and reduced level of hospital utilization indicate potentially different approaches to treatment intensity for the oldest old. In addition, while race/ethnicity was not correlated with duration of hospitalization, it did play a significant role for specific levels of care such as intensive care and mechanical ventilation. Finally, the modifying effect of lack of health insurance and hospital bed capacity indicate that disparities in care may be highly sensitive to health system and payor characteristics.
Learning Objectives: 1. Describe the effect of age among subcategories of older adults (e.g., 65-74, 75-84, 85+)in extending or limiting hospital utilization at the end of life.
2. Articulate the impact of race and ethnicity on end-of-life hospital utilization in a Southwestern U.S. population.
3. Identify 2 health system variables that may contribute to variation in duration and level of care during a terminal hospital admission.
Keywords: Aging, End-of-Life Care
Presenting author's disclosure statement:Qualified on the content I am responsible for because: I have developed the methodology and conducted the original research associated with this presentation.
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.
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