| Autor: |
Bird A; a Ashley Bird, MPH, Steven Leach, MD, Stephanie Houck, MD, Kelly Robinson, PharmD & MBA, and Tiffany Lawson, MBA are with Palliative Care , Medical Center , Dallas , Texas , USA., Leach S; a Ashley Bird, MPH, Steven Leach, MD, Stephanie Houck, MD, Kelly Robinson, PharmD & MBA, and Tiffany Lawson, MBA are with Palliative Care , Medical Center , Dallas , Texas , USA., Houck S; a Ashley Bird, MPH, Steven Leach, MD, Stephanie Houck, MD, Kelly Robinson, PharmD & MBA, and Tiffany Lawson, MBA are with Palliative Care , Medical Center , Dallas , Texas , USA., Robinson K; a Ashley Bird, MPH, Steven Leach, MD, Stephanie Houck, MD, Kelly Robinson, PharmD & MBA, and Tiffany Lawson, MBA are with Palliative Care , Medical Center , Dallas , Texas , USA., Lawson T; a Ashley Bird, MPH, Steven Leach, MD, Stephanie Houck, MD, Kelly Robinson, PharmD & MBA, and Tiffany Lawson, MBA are with Palliative Care , Medical Center , Dallas , Texas , USA. |
| Abstrakt: |
The purpose of this analysis was to measure the impact of palliative care services on hospital charges in the 5 days prior to death-the most expensive time of a patient's life-and identify hospital service categories and patient financial classes yielding the highest savings from palliative care. The analysis population included UT Southwestern patients admitted to the hospital between October 1, 2013, and September 30, 2016. Palliative care patients were defined as any patient who received at least one completed palliative care order. In order to create an accurate comparison group, a propensity score match was generated to identify patients most likely to have qualified for a palliative care consult. Covariates included in the model were age, sex, race, financial class, and number of comorbidities. Comorbidities were identified using the Elixhauser Comorbidity Index, and all charges were pulled for the 5 days prior to death. Total hospital charges were also reported by hospital service and financial class. Statistical significance was then derived using a gamma distributed log-linked generalized linear model. The final population included in the analysis, post the propensity score match, was composed of mostly white, non-Hispanic males. The majority of the patients had five or fewer comorbidities, and the primary preexisting conditions seen among patients were cardiovascular diseases (36.0%) and cancer (23.4%). The hospital service categories yielding the highest mean savings were pharmacy (mean $2,765; P < .0001) and labs (mean $1,063; P < .0001). Financial classes with the greatest savings were Medicaid and charity/self-pay. Overall, there was a significant difference in charges between those that received a palliative care consult and those that did not. The fact that the highest savings were in pharmacy and laboratory services suggests that unnecessary labs and medications are discontinued in an effort to improve patient care and quality of life while reducing costs during end-of-life care. Palliative care services ease the cost burden of end-of-life services for low-income populations. |
