Evidence map›Paper›PMID 33904035›Full record

ArticleJournal of general internal medicine2022

Asian American Medicare Beneficiaries Disproportionately Receive Invasive Mechanical Ventilation When Hospitalized at the End-of-Life.

Zhimeng Jia, Richard E Leiter, Justin J Sanders, Donald R Sullivan, Pedro Gozalo, Jennifer N Bunker, Joan M Teno

Open access · bronzeAbstract read
In one paragraph

Article in Journal of general internal medicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed, 1 pooled it
3.1field-weighted citation impact, top 9% 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

13 citing papers in PubMed, 1 synthesis or guideline pooled it, 22 citations in OpenAlex.

  1. Pooled it
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  8. Review
  9. Article
  10. Mapping racial and ethnic healthcare disparities for persons living with dementia: A scoping review.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2024
    Article
  11. Article
  12. Article
  13. Associations between dementia diagnosis and end-of-life care utilization.Journal of the American Geriatrics Society · 2022
    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

7 authors at 4 institutions in 1 country.

Zhimeng JiaDepartment of Psychosocial Oncology and Palliative Care, Dana-Farber Cancer Institute, Boston, MA, USA. Zhimeng_jia@dfci.harvard.edu.ORCID 0000-0001-8156-5553
Richard E LeiterDepartment of Psychosocial Oncology and Palliative Care, Dana-Farber Cancer Institute, Boston, MA, USA.
Justin J SandersDepartment of Psychosocial Oncology and Palliative Care, Dana-Farber Cancer Institute, Boston, MA, USA.
Donald R SullivanDivision of Pulmonary and Critical Care Medicine, Department of Medicine, Oregon Health & Science University (OHSU), Portland, OR, USA.
Pedro GozaloDepartment of Health Services, Policy & Practice, Brown University School of Public Health, Providence, RI, USA.
Jennifer N BunkerDivision of General Internal Medicine and Geriatrics, School of Medicine, Health & Science University, Portland, OR, USA.
Joan M TenoDivision of General Internal Medicine and Geriatrics, School of Medicine, Health & Science University, Portland, OR, USA.
Oregon Health & Science University · USBrigham and Women's Hospital · USBrown University · USDana-Farber Cancer Institute · US

Funding

Invasive and Non-Invasive Mechanical Ventilation Outcomes in Advanced DementiaR56AG063748 · NIA · OREGON HEALTH & SCIENCE UNIVERSITY · PI TENO, JOAN M · 2019 to 2020
$710k
NIA NIH HHS R56 AG063748NIA NIH HHS R56AG063748
6 · The paper itself

Abstract

backgroundAsian Americans are the fastest-growing ethnic minority in the USA, but we know little about the end-of-life care for this population.

objectiveCompare invasive mechanical ventilation (IMV) use between older Asian and White decedents with hospitalization in the last 30 days of life.

designPopulation-based retrospective cohort study.

participantsA 20% random sample of 2000-2017 Medicare fee-for-service decedents who were 66 years or older and had a hospitalization in the last 30 days of life. EXPOSURE: White and Asian ethnicity as collected by the Social Security Administration. MAIN MEASURES: We identified IMV using validated procedural codes. We compared IMV use between Asian and White fee-for-service decedents using random-effects logistic regression analysis, adjusting for sociodemographics, admitting diagnosis, comorbidities, and secular trends. KEY

resultsFrom 2000 to 2017, we identified 2.1 million White (54.5% female, 82.4±8.1 mean age) and 28,328 Asian (50.8% female, 82.6±8.1 mean age) Medicare fee-for-service decedents hospitalized in the last 30 days. Compared to White decedents, Asian fee-for-service decedents have an increased adjusted odds ratio (AOR) of 1.42 (95%CI: 1.38-1.47) for IMV. In sub-analyses, Asians' AOR for IMV differed by admitting diagnoses (cancer AOR=1.32, 95%CI: 1.15-1.51; congestive heart failure AOR=1.75, 95%CI: 1.47-2.08; dementia AOR=1.93, 95%CI: 1.70-2.20; and chronic obstructive pulmonary disease AOR=2.25, 95%CI: 1.76-2.89).

conclusionsCompared to White decedents, Asian Medicare decedents are more likely to receive IMV when hospitalized at the end-of-life, especially among patients with non-cancer admitting diagnoses. Future research to better understand the reasons for these differences and perceived quality of end-of-life care among Asian Americans is urgently needed.

Indexed as

AsianRespiration, ArtificialAgedDeathEthnicityFemaleHospitalizationHumansMaleMedicareMinority GroupsRetrospective StudiesUnited StatesAsiandisparitiesend-of-lifegeriatricventilation

Identifiers

PMID33904035
PMCPMC8075023
OpenAlexW3159599119

What OpenQuestion holds

Textmetadata
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.