Evidence map›Paper›PMID 41432134›Full record

ArticleJournal of the American Geriatrics Society2026

Predicting Mortality and Costs After Emergency Department Visits by People With Dementia: Timing and Location Matter.

Jason K Bowman, Christine S Ritchie, Kei Ouchi, Kyler M Godwin, James A Tulsky, Joan M Teno

Abstract read
In one paragraph

Article in Journal of the American Geriatrics Society, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Resilience and Relief of Suffering for Older Adults at End-of-Life.Journal of the American Geriatrics Society · 2026
    Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Jason K BowmanDepartment of Emergency Medicine, Baylor College of Medicine, Houston, Texas, USA.ORCID 0000-0003-0254-2332
Christine S RitchieMassachusetts General Hospital Department of Medicine, Boston, Massachusetts, USA.
Kei OuchiHarvard Medical School, Boston, Massachusetts, USA.
Kyler M GodwinCenter for Innovations in Quality Effectiveness and Safety, Michael E. DeBakey VA Medical Center, Houston, Texas, USA.
James A TulskyHarvard Medical School, Boston, Massachusetts, USA.
Joan M TenoBrown University School of Public Health, Providence, Rhode Island, USA.

Funding

CTSA K12 Program at Baylor College of Medicine and University of HoustonK12TR004522 · NCATS · BAYLOR COLLEGE OF MEDICINE · PI Marino A Bruce, ELENA L GRIGORENKO · 2024 to 2026
$2.6M
Center for Innovations in Quality, Effectiveness and Safety CIN 13-413NCATS NIH HHS K12 TR004522NCATS NIH HHS K12TR004522NIH HHS 2P01AG027296-11
6 · The paper itself

Abstract

backgroundPeople with dementia have high rates of emergency department (ED) and hospital utilization, high mortality and costs, and other poor outcomes. To successfully impact the care trajectories of these patients, health care systems must pragmatically identify the correct target population. This study described patterns of ED utilization by people with dementia and explored the accuracy of administrative data models to predict mortality and costs.

methodsRetrospective cohort study of a 20% random sample of Traditional Medicare (TM) beneficiaries with dementia, age ≥ 66 years, and an index ED visit in 2018. One-year mortality and high costs were described, and associations with the timing of prior hospitalizations examined. As a preliminary step to evaluate models based on administrative data only, C-statistics were used to examine the accuracy of eight multivariate models, stratified by the setting of care before and after an ED visit.

resultsThe majority of the 250,343 person cohort of individuals with dementia resided in the community before their index ED encounter (83.9%) rather than in a nursing home (NH, 16.1%), and 34.4% required hospitalization. One-year mortality by location varied from 18.4% (community before and after ED visit) to 47% (admitted NH residents). One-year mortality was 40.3% for those hospitalized within the past month, and 26.2% for those hospitalized 6+ months before the ED encounter. C-statistics were less than or equal to 0.72 for seven multivariate models, and 0.81 for the model examining high costs for NH residents discharged back to their NH.

conclusionsMortality and costs for people with dementia vary by location of care before and after ED encounters, as well as by timing of prior hospitalizations. However, multivariate models using only administrative data lack accuracy, suggesting the need to add pragmatically selected clinical data and/or other measures to better identify the "right patients, at the right time".

Indexed as

DementiaEmergency Service, HospitalHealth Care CostsAgedAged, 80 and overEmergency Room VisitsFemaleHospitalizationHumansMaleMedicareNursing HomesRetrospective StudiesTime FactorsUnited StatesAlzheimer's disease and related dementiasdementiaemergency medicinegeriatricshealth services research

Identifiers

PMID41432134
PMCPMC12968382

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Registered trials

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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.