Evidence map›Paper›PMID 32798202›Full record

Observational studyJournal of the American Medical Directors Association2021

Post-Acute and Long-Term Care Patients Account for a Disproportionately High Number of Adverse Events in the Emergency Department.

Richard T Griffey, Ryan M Schneider, Lee Adler, Alexandre Todorov

Abstract readObservational Study
PubMed Publisher
In one paragraph

Observational study in Journal of the American Medical Directors Association, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. The emergency department trigger tool: Multicenter trigger query validation.Academic emergency medicine : official journal of the Society for Academic Emergency Medicine · 2024
    Observational
  2. Hospital Proximity and Emergency Department Use among Assisted Living Residents.Journal of the American Medical Directors Association · 2023
    Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

4 authors.

Richard T GriffeyDepartment of Emergency Medicine, Washington University School of Medicine, St. Louis, MO, USA; Department of Psychiatry, Washington University School of Medicine, St. Louis, MO, USA. Electronic address: griffeyr@wustl.edu.
Ryan M SchneiderDepartment of Emergency Medicine, Washington University School of Medicine, St. Louis, MO, USA; Department of Psychiatry, Washington University School of Medicine, St. Louis, MO, USA.
Lee AdlerDepartment of Medicine, University of South Florida, Orlando, FL, USA; Office of Clinical Effectiveness, AdventHealth, Altamonte Springs, FL, USA.
Alexandre TodorovDepartment of Emergency Medicine, Washington University School of Medicine, St. Louis, MO, USA; Department of Psychiatry, Washington University School of Medicine, St. Louis, MO, USA.

Funding

DEMONSTRATION PROJECT TO REFINE, AUTOMATE AND TEST A NOVEL EMERGENCY DEPARTMENT TRIGGER TOOLR18HS025052 · AHRQ · WASHINGTON UNIVERSITY · PI GRIFFEY, RICHARD T · 2016 to 2018
$1.0M
AHRQ HHS R18 HS025052
6 · The paper itself

Abstract

objectivesHigh rates of adverse events (AEs) are reported for post-acute and long-term care settings (PA/LTC: skilled nursing facilities, inpatient rehabilitation centers, long-term acute care facilities, and home health). However, emergency department (ED)-based studies in this area are lacking. We describe all-cause harm among patients from PA/LTC settings seen in the ED.

designRetrospective observational study using the ED Trigger Tool, with dual independent nurse reviews of 5582 ED records with triggers (findings increasing the likelihood of an AE) and confirmatory physician review of putative AEs. SETTING AND

participantsWe captured data for all adult patients at an urban, academic ED over a 13-month period (92,859 visits). PA/LTC patients were identified using a computerized ED Trigger Tool and manual review (κ = 0.85). MEASURES: We characterize the AEs identified by severity and type using the ED Taxonomy of Adverse Events, and whether the AE occurred in the ED or was present on arrival. We estimate population AE rates using inverse probability weighting.

resultsCompared with non-PA/LTC patients, PA/LTC patients (4.4% of population; 8.2% of our sample) tended to be older (median age 69 vs 50 years), with comparable sex ratios (54% female overall). PA/LTC patients accounted for 21% of all AEs (26% present on arrival; 13% in ED). Rates of AEs occurring in the ED were comparable after matching on age. Present on arrival AEs from a PA/LTC setting were most commonly related to patient care (39%), medication (34%), and infections (16%). CONCLUSIONS AND IMPLICATIONS: PA/LTC patients account for a small proportion of ED visits but experience a disproportionate number of AEs that are primarily present on arrival and patient-care related, and contribute to an admission rate double that for non-PA/LTC patients. Arguably, this cohort represents PA/LTC patients with the most severe AEs. Understanding these AEs may help identify high-yield targets for quality improvement.

Indexed as

Emergency Service, HospitalLong-Term CareAdultAgedCohort StudiesFemaleHumansMaleQuality ImprovementRetrospective StudiesAdverse eventsemergencypost-acute caretrigger tool

Identifiers

What OpenQuestion holds

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Read underepoch 390

Registered trials

None linked

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.