Black Americans, Hospitalization, and Advance Care Planning.
Sharon E BiggerJean Croce HemphillTrizah NjorogeKatherine DoyonLee GlennPublished in: The American journal of hospice & palliative care (2023)
Skilled home health (HH) is the largest long-term care setting and the fastest-growing site of healthcare in the United States (U.S.). Home Health Value-Based Purchasing (HHVBP) is a structure of Medicare that penalizes U.S. HH agencies for high hospitalization rates. Prior studies have shown inconsistent evidence about associations of race with hospitalization rates in HH. Evidence supports that Black or African Americans are less likely to participate in advance care planning (ACP), or to complete written advance directives, which could affect their potential for hospitalization when nearing end of life. In this quasi-experimental study, we used Medicare administrative datasets, the Weighted Acute Care Services Use Rates (WACSUR) score, and the Advance Care Planning Protocol (ACPP) score to determine whether the proportion of Black HH patients in the U.S. was correlated with acute care use rates and the robustness of agency protocols on ACP. We used primary and secondary data from the U.S. from 2016-2020. We included Medicare-certified HH agencies. Spearman's correlation coefficient was used. We found a statistical trend showing that the greater proportion of Black patients enrolled in a HH agency, the greater tendency to have a high hospitalization rate. Our findings suggest that HHVBP may encourage patient selection and exacerbate health disparities. Our findings support recommendations for alternative measures of quality in HH to include measures of goal-concordant care coordination when patients are denied admission to HH.
Keyphrases
- healthcare
- end stage renal disease
- advance care planning
- acute care
- ejection fraction
- chronic kidney disease
- newly diagnosed
- public health
- primary care
- mental health
- peritoneal dialysis
- magnetic resonance
- prognostic factors
- computed tomography
- case report
- patient reported outcomes
- climate change
- health information
- clinical practice
- deep learning
- quality improvement
- artificial intelligence