Evidence map›Paper›PMID 33863470›Full record

ReviewEmergency medicine clinics of North America2021

Applying Geriatric Principles to Transitions of Care in the Emergency Department.

Kimberly Bambach, Lauren T Southerland

Abstract readReview
In one paragraph

Review in Emergency medicine clinics of North America, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing 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

12 citing papers in PubMed.

  1. Trial
  2. Exploring Patient and Caregiver Work and Continuity of Care During Hospital-to-Home Transitions of Care in the Canadian Context.Health expectations : an international journal of public participation in health care and health policy · 2026
    Article
  3. Article
  4. Observational
  5. Article
  6. Enhancing healthcare access for an older population: The age-friendly emergency department.Journal of the American College of Emergency Physicians open · 2024
    Review
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. 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

2 authors.

Kimberly BambachDepartment of Emergency Medicine, The Ohio State University Wexner Medical Center, 376 West 10th Avenue, Columbus, OH 43210, USA. Electronic address: https://twitter.com/kimbambach.
Lauren T SoutherlandDepartment of Emergency Medicine, The Ohio State University Wexner Medical Center, 376 West 10th Avenue, Columbus, OH 43210, USA. Electronic address: Lauren.Southerland@osumc.edu.

Funding

Implementation of Multidisciplinary Assessments for Geriatric Patients in an ED Observation Unit (IMAGE)K23AG061284 · NIA · OHIO STATE UNIVERSITY · PI SOUTHERLAND, LAUREN T. · 2019 to 2023
$832k
NIA NIH HHS K23 AG061284
6 · The paper itself

Abstract

Each emergency department (ED) visit represents a crucial transition of care for older adults. Systems, provider, and patient factors are barriers to safe transitions and can contribute to morbidity and mortality in older adults. Safe transitions from ED to inpatient, ED to skilled nursing facility, or ED back to the community require a holistic approach, such as the 4-Ms model-what matters (patient goals of care), medication, mentation, and mobility-along with safety and social support. Clear written and verbal communication with patients, caregivers, and other members of the interdisciplinary team is paramount in ensuring successful care transitions.

Indexed as

Continuity of Patient CareEmergency Service, HospitalAgedGeriatric AssessmentGeriatricsHumansPatient SafetyPatient TransferCare transferEmergency medicineGeriatric assessmentGeriatricsSafe dischargeTransitions of care

Identifiers

PMID33863470
PMCPMC8054920

What OpenQuestion holds

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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.