Evidence map›Paper›PMID 28338215›Full record

ArticleJournal of the American Geriatrics Society2017

Delirium During Postacute Nursing Home Admission and Risk for Adverse Outcomes.

Cyrus M Kosar, Kali S Thomas, Sharon K Inouye, Vincent Mor

Abstract read
In one paragraph

Article in Journal of the American Geriatrics Society, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed, 1 pooled it
2.7field-weighted citation impact, top 10% of its field
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

19 citing papers in PubMed, 1 synthesis or guideline pooled it, 56 citations in OpenAlex.

  1. Pooled it
  2. Who Is Delirium Worse For?Journal of the American Geriatrics Society · 2026
    Article
  3. Article
  4. Review
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Review
  13. Delirium in Nursing Home Residents: A Narrative Review.Healthcare (Basel, Switzerland) · 2022
    Review
  14. Article
  15. Article
  16. Article
  17. Inpatient Rehabilitation Delirium Screening: Impact on Acute Care Transfers and Functional Outcomes.PM & R : the journal of injury, function, and rehabilitation · 2020
    Article
  18. Article
  19. Development and Validation of the Nursing Home Minimum Data Set 3.0 Mortality Risk Score (MRS3).The journals of gerontology. Series A, Biological sciences and medical sciences · 2019
    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

4 authors at 2 institutions in 1 country.

Cyrus M KosarCenter for Gerontology and Healthcare Research, Brown University, Providence, Rhode Island.
Kali S ThomasCenter for Gerontology and Healthcare Research, Brown University, Providence, Rhode Island.
Sharon K InouyeAging Brain Center, Institute for Aging Research, Hebrew SeniorLife, Boston, Massachusetts.
Vincent MorCenter for Gerontology and Healthcare Research, Brown University, Providence, Rhode Island.
Brown University · USHarvard University · US

Funding

VARIATIONS IN LIFE'S FINAL CHAPTERP01AG027296 · NIA · BROWN UNIVERSITY · PI AMAL N. TRIVEDI · 2007 to 2026
$38.9M
Development and Validation of a Delirium Severity ToolkitR01AG044518 · NIA · HEBREW REHABILITATION CENTER FOR AGED · PI INOUYE, SHARON K., JONES, RICHARD N · 2014 to 2024
$7.3M
K07 Leadership GrantK07AG041835 · NIA · HEBREW REHABILITATION CENTER FOR AGED · PI INOUYE, SHARON K. · 2013 to 2017
$656k
NIA NIH HHS K07 AG041835NIA NIH HHS P01 AG027296NIA NIH HHS R01 AG044518
6 · The paper itself

Abstract

objectivesTo identify the rate of delirium present during admission to postacute care (PAC) in the nursing home setting and to determine whether patients with delirium had higher risk for adverse outcomes.

designRetrospective cohort study.

settingUS Medicare- and Medicaid-certified nursing homes, 2011 to 2014.

participantsIndividuals admitted to all US nursing homes for PAC, aged ≥65 years, and without prior history of nursing home residence (n = 5,588,702). MEASUREMENTS: Minimum Data Set (MDS) 3.0 admission assessments identified delirium based upon Confusion Assessment Method (CAM) items. Robust Poisson regression was used to calculate adjusted relative risks (aRRs) with 95% confidence intervals (CIs) for death following PAC admission, and for 30-day discharge outcomes including re-hospitalization from PAC, discharge home, and functional improvement.

resultsDelirium was identified in 4.3% of new postacute nursing home admissions. Mortality within 30 days of PAC admission was observed in 16.3% of patients with delirium and 5.8% of patients without delirium (aRR = 2.27, CI = 2.24-2.30). The rate of 30-day readmission from PAC was 21.3% for patients with delirium compared with 15.1% among patients without delirium (aRR = 1.42, 95% CI = 1.40, 1.43). 26.9% of patients with delirium were discharged home within 30 days of admission compared to 52.5% of patients without delirium (aRR = 0.57, 95% CI = 0.57, 0.58). 48.9% of patients with delirium showed functional improvement at discharge compared to 59.9% of patients without delirium (aRR = 0.83, 95% CI = 0.82, 0.83).

conclusionsPatients with delirium present upon PAC admission were at high risk for mortality and 30-day re-hospitalization and were less likely to have timely discharge to home or to improve in physical function at discharge. Early identification and care planning for individuals with delirium at PAC admission may be essential to improve outcomes.

Indexed as

Nursing HomesSubacute CareAgedAged, 80 and overDeliriumFemaleHospitalizationHumansMaleMedicaidMedicarePatient DischargePatient ReadmissionRetrospective StudiesRiskSurveys and Questionnairesdeliriumnursing homespostacute care

Identifiers

PMID28338215
PMCPMC5515080
OpenAlexW2601666711

What OpenQuestion holds

Textmetadata
LicenceTDM
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.