Background: Home health is the fastest-growing healthcare setting in the country. Through Home Health Value-Based Purchasing (HHVBP), the Center for Medicare and Medicaid Services (CMS) provides incentives or penalties to HHAs based on outcomes. Hospitalization and emergency department use are weighted heaviest as poor outcomes. HHVBP requires HHAs to report on whether they are engaging in advance care planning (ACP) conversations. For this study, ACP was defined as a conversation held in advance of a medical crisis with a loved one and/or a health care provider about goals; values; preferences for future medical treatments; and choice of a surrogate decision-maker.
Purpose: to determine whether the proportion of Black patients was correlated with robustness of HHAs’ ACP protocols and levels of acute care services use.
Methods: A cross-sectional, quasi-interventional design was used. The sample size was n = 89. Electronic surveys about ACP protocols were distributed to HHAs. Existing data about demographics and acute care services use were accessed via CMS websites. Spearman’s correlation coefficient was used.
Results: No relationship was found between robustness of ACP protocols and the proportion of Black population per agency. No relationship was found between overall acute care services use rates proportion of Black patients. However, a trend was found: The greater proportion of Black patients, the greater the tendency for an agency to have a higher hospitalization rate.
Discussion: Results are compared to current literature and to a CMS-commissioned study’s discussion about the potential for value-based purchasing programs to exacerbate health disparities in vulnerable populations.
Identifer | oai:union.ndltd.org:ETSU/oai:dc.etsu.edu:es-conf-1057 |
Date | 14 April 2022 |
Creators | Bigger, Sharon, Glenn, Lee |
Publisher | Digital Commons @ East Tennessee State University |
Source Sets | East Tennessee State University |
Detected Language | English |
Type | text |
Format | application/pdf |
Source | Epsilon Sigma at-Large Research Conference |
Page generated in 0.0016 seconds