Logo

American Heart Association

  2
  0


Final ID: WE568

Place of Death for Cerebrovascular Mortality, 2018–2023: Hospice–Forward U.S. Trends From CDC WONDER

Abstract Body: Background
Where cerebrovascular deaths occur reflects emergency access, end-of-life preferences, and palliative capacity. Whether hospice’s role changed during and after the pandemic is unclear.
Hypothesis
Out-of-hospital (OOH) deaths rose in 2020 and stabilized thereafter; hospice’s share within OOH would not expand meaningfully post-2020.
Methods
CDC WONDER Multiple Cause of Death (final, 2018–2023; I60–I69). Place of death was grouped as hospital (inpatient, emergency/outpatient, dead-on-arrival [DOA]) vs OOH (home, hospice facility, nursing/long-term care [LTC], other/unspecified). We computed annual counts, OOH share, and OOH composition (hospice, home, LTC). For adjustment, a binomial GLM (logit link) modeled OOH/(total) by Year, Sex, Race (Single-Race-6), Education with frequency weights; marginal year predictions were averaged by observed stratum totals. We explored small-cell instability with Beta–Binomial empirical-Bayes (EB) for Race×Year; subgroup cross-tabs were suppression-limited in U.S. totals.
Results
There were 1,775,960 cerebrovascular deaths (2018–2023). OOH share was 80.0% (2018), 81.7% (2020 peak), 80.1% (2023); adjusted estimates closely matched crude (2018–2023 adj. range: 79.9%–81.7%), indicating trends were not explained by demographic shifts. Within OOH, hospice’s share was stable: 7.7% (2018), 6.8% (2020), 7.8% (2023); era means pre 2018–2019 vs post 2021–2023 were 7.7% vs 7.5% of OOH and 6.2% vs 6.0% of all deaths. By contrast, home deaths comprised a rising fraction of OOH (12.5% → 16.0%; era means 12.6% → 16.7%), while LTC was flat to slightly lower (15.8% → 15.4%; era means 15.7% → 14.6%). In hospitals, the mix shifted toward inpatient (92.9%→94.1%) and away from ER/outpatient (7.0%→5.9%); DOA ~0–0.1%. EB did not alter national conclusions given suppression in subgroup cross-tabs.
Conclusions
Cerebrovascular deaths remain predominantly out-of-hospital (~80%) with a 2020 peak and stabilization thereafter. Hospice’s proportional role did not expand post-pandemic, while home deaths grew within the OOH mix. These findings suggest sustained reliance on community/residential settings without compensatory growth in facility-based hospice. Strengthening early palliative engagement, equitable hospice referral pathways, and community stroke preparedness—paired with monitoring of place-of-death indicators—may better align preferences, capacity, and system performance in the post-COVID era.
  • Tran, Tam  ( Washington University School of Medicine , Saint Louis , Missouri , United States )
  • Lee, Wei Jun  ( SUNY Downstate Health Sciences University , Brooklyn , New York , United States )
  • Nguyen, Dang  ( Harvard University , Cambridge , Massachusetts , United States )
  • Marzouk, Sammer  ( Northwestern Feinberg School of Medicine , Chicago , Illinois , United States )
  • Le, Trang  ( Cardiovascular Research, Methodist , Brooklyn , New York , United States )
  • Truong, Hieu  ( Prime Saint Francis Hospital , Evanston , Illinois , United States )
  • Erkelens, Bryce  ( University of Southern California , Los Angeles , California , United States )
  • Huynh, Han  ( ollege of Medical Science and Technology - Taipei Medical University , Taipei , Taiwan )
  • Le, Minh  ( Cardiovascular Research, Methodist , Brooklyn , New York , United States )
  • Author Disclosures:
Meeting Info:

EPI-Lifestyle Scientific Sessions 2026

2026

Boston, Massachusetts

Session Info:

Poster Session 2

Wednesday, 03/18/2026 , 05:00PM - 07:00PM

Poster Session

More abstracts on this topic:
Analyzing Trends in Mortality due to Arterial Thromboembolism in the U.S.

Naintara Fnu, Nookala Vinod, Khan Muzamil, Cheema Ayesha, Ahmad Wajdan, Kashif, Md Talha, Mannam Raam, Ahmad Osama, Balaji Swetha, Sofia Amara

Association of Pittsburgh Cardiac Arrest Category with death due to withdrawal of life-sustaining therapy

Tam Jonathan, Callaway Clifton

More abstracts from these authors:
Early Detection of Subclinical Myocardial Dysfunction in Diabetes Using Leak-Safe Machine Learning on Routine Clinical Data

Tran Tam, Lee Wei Jun, Nguyen Dang, Marzouk Sammer, Le Trang, Truong Hieu, Erkelens Bryce, Huynh Han, Le Minh

Machine Learning–Driven Optimization of EEG Channel Selection for Cognitive State Monitoring

Nguyen Dang, Le Minh, Patel Pari, Ahmed Ryan, Huynh Phat, Rutledge-jukes Heath, Lin John, Jonnalagadda Pallavi, Tran Tam, Jain Urvish, Marzouk Sammer, Keshwani Ariz

You have to be authorized to contact abstract author. Please, Login
Not Available