Purpose: Medicare hospice is a valuable source of quality care at the end of life, but its lower use by racial minority groups is of concern. This study identifies factors associated with hospice use among urban Black and White nursing home (NH) decedents in the United States.
Design And Methods: Multiple data sources are combined and multilevel logistic regression is utilized to examine hospice use among urban Black and White NH residents who had access to hospice and died in 2006 (N = 288,202).
Results: In NHs, Blacks are less likely to use hospice than Whites (35.4% vs. 39.3%), even when controlling for covariates, interactions, and clustering of decedents in NHs and counties (adjusted odds ratio = 0.81, 95% confidence interval = 0.77-0.86). Variation in hospice use is greater among subgroups of Blacks than between Blacks and Whites, and these variations are predominantly due to individual-level factors, with some influence of NH-level factors. Hospice use is higher for Blacks versus Whites with do-not-resuscitate orders and lower for Blacks versus Whites with congestive heart failure (CHF). Additionally, hospice use is greater among Blacks with versus without do-not-resuscitate or do-not-hospitalize orders or cancer and those in low-tier versus other NHs. There was also lower hospice use among Blacks with versus without CHF.
Implications: Efforts to reduce racial differences in hospice use should attend to individual-level factors. Heightening use of advance directives and targeting Blacks with CHF for hospice could be particularly helpful.
Download full-text PDF |
Source |
---|---|
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC3058130 | PMC |
http://dx.doi.org/10.1093/geront/gnq093 | DOI Listing |
Environ Sci Technol
January 2025
Rollins School of Public Health, Emory U, Atlanta, Ga 30322, United States.
Repeated measurements of household air pollution may provide better estimates of average exposure but can add to costs and participant burden. In a randomized trial of gas versus biomass cookstoves in four countries, we took supplemental personal 24-h measurements on a 10% subsample for mothers and infants, interspersed between protocol samples. Mothers had up to five postrandomization protocol measurements over 16 months, while infants had three measurements over one year.
View Article and Find Full Text PDFJ Soc Cardiovasc Angiogr Interv
December 2024
Division of Cardiovascular Medicine, Virginia Commonwealth University, Richmond, Virginia.
Background: Routine preprocedural fasting before cardiac catheterization remains common practice, despite a lack of robust evidence to support this practice. We investigated the impact of a liberal nonfasting strategy vs a standardized nil per os (NPO) regimen prior to cardiac catheterization.
Methods: Adult inpatients undergoing elective or urgent cardiac catheterization were randomized (1:1 ratio) to either NPO past midnight or ad libitum intake of liquids and solids (without dietary constraints) until immediately prior to the procedure.
Prev Med Rep
January 2025
Johns Hopkins University Bloomberg School of Public Health, Department of Population, Family and Reproductive Health, Baltimore, MD 21205, USA.
Objective: To examine associations between student perceptions of school physical activity best practices and accelerometer-based physical activity during school days.
Methods: The sample was 758 students in grades 3rd-4th or 6th-7th (female-58 %; 31 % Black/African American) from 33 schools across five school districts in a Mid-Atlantic state in the U.S.
PLoS One
January 2025
Division of Hematology, Oncology and Palliative Care, Department of Internal Medicine, Virginia Commonwealth University School of Medicine, Richmond, Virginia, United States of America.
Background: Rigorous population-based assessments of the use of specialty palliative care (SPC) in the US are rare.
Settings/subjects: This study examined SPC use among cancer patients in a mid-sized metropolitan area in Southeast US.
Measurements: In this cancer decedent cohort study, data were acquired and linked from the state-wide cancer registry; state-wide hospital discharge dataset; and local SPC providers.
Background: Though European Respiratory Society and American Thoracic Society (ERS/ATS) guidelines for pulmonary function test (PFT) interpretation recommend the use of the forced vital capacity (FVC) lower limit of normal (LLN) to exclude restriction, recent data suggest that the negative predictive value (NPV) of the FVC LLN is lower than has been accepted, particularly among non-Hispanic Black patients. Using a machine learning (ML) model-rather than the FVC LLN-to exclude restriction may improve the accuracy and equity of PFT interpretation. We sought to develop and externally validate a ML model to predict restriction from spirometry and to assess the potential impact of this model on PFT interpretation.
View Article and Find Full Text PDFEnter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!