ArticleCureus2024
Down Syndrome: Evaluating Disparities in Place of Death in the United States Using Centers for Disease Control and Prevention's Wide-Ranging Online Data for Epidemiologic Research (CDC-WONDER) Database Over 22 Years.
Article in Cureus, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
2 citing papers in PubMed.
- Shared book reading to promote mental well-being among young people with and without Down syndrome: a pilot dyadic randomized controlled trial.Frontiers in public health · 2025Trial
- Structural racism: a fundamental cause of drug overdose disparities.Lancet regional health. Americas · 2024Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
introductionThe Uniform Determination of Death Act (UDDA) ensures that individuals with irreversible cessation of circulatory, respiratory, or brain functions receive timely palliative care. Our research has focused on identifying disparities in mortality among individuals with Down syndrome (DS) based on gender, age, racial groups, and geographic regions within the United States over 22 years. This study aims to analyze differences in the location of death, including hospitals, nursing homes, hospice care facilities, and unspecified locations, considering demographic and regional variables. METHODOLOGY: Utilizing a cross-sectional observational study design, we extracted data from the Centers for Disease Control and Prevention's Wide-ranging Online Data for Epidemiologic Research (CDC-WONDER) database, specifically targeting deaths coded under the International Classification of Diseases, 11th Revision (ICD-11) code "Q-90." This analysis, covering 1999 to 2020, segmented the data by age, gender, race, and United States Census regions. Death locations were categorized into home/hospice, medical facilities, and nursing/other facilities. Data analysis was conducted using Microsoft Excel, and the Autoregressive Integrated Moving Average (ARIMA) model was applied for statistical assessments.
resultsOur analysis included 22604 deaths related to DS, as recorded in the CDC-WONDER database from 1999 to 2020. The majority of these deaths occurred in medical or nursing facilities, with home or hospice deaths accounting for 6106 cases and other locations for 5.29% of deaths. Univariate logistic regression was used to identify predictors of home or hospice deaths, revealing a trend of increasing deaths in these settings over time.
conclusionsBetween 1999 and 2020, there was a notable increase in the number of individuals with DS dying at home or in hospice care, especially among those aged 55-64. Female individuals and those identified as white experienced higher mortality rates than other demographic groups. This shift highlights the need to understand the disparity in places of death within this population, ensuring equitable access to quality end-of-life care for all individuals with DS.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.