Evidence map›Paper›PMID 31464767›Full record

ArticleCritical care medicine2019

Determining the Association Between End-of-Life Care Resources and Patient Outcomes in Pennsylvania ICUs.

Deepshikha Charan Ashana, Craig A Umscheid, Alisa J Stephens-Shields, Rachel Kohn, Vanessa Madden, Michael O Harhay, Yong Chen, Meeta Prasad Kerlin

Abstract read
In one paragraph

Article in Critical care medicine, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed, 1 pooled it
–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

7 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Article
  4. Observational
  5. Article
  6. Article
  7. Review
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

8 authors.

Deepshikha Charan AshanaPalliative and Advanced Illness Research (PAIR) Center, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA.
Craig A UmscheidCenter for Healthcare Delivery Science and Innovation, University of Chicago Medicine, Chicago, IL.
Alisa J Stephens-ShieldsDepartment of Biostatistics, Epidemiology, and Informatics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA.
Rachel KohnPalliative and Advanced Illness Research (PAIR) Center, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA.
Vanessa MaddenPalliative and Advanced Illness Research (PAIR) Center, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA.
Michael O HarhayPalliative and Advanced Illness Research (PAIR) Center, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA.
Yong ChenDepartment of Biostatistics, Epidemiology, and Informatics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA.
Meeta Prasad KerlinPalliative and Advanced Illness Research (PAIR) Center, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA.

Funding

Cardiology & pulmonary research training grantT32HL007891 · NHLBI · UNIVERSITY OF PENNSYLVANIA · PI Jason D Christie · 1998 to 2026
$12.0M
The influence of ward capacity strain on outcomes among survivors of acute respiratory failureK23HL146894 · NHLBI · UNIVERSITY OF PENNSYLVANIA · PI KOHN, RACHEL · 2019 to 2023
$1.0M
The role of physician experience in outcomes of patients with acute respiratory fK08HL116771 · NHLBI · UNIVERSITY OF PENNSYLVANIA · PI KERLIN, MEETA PRASAD · 2013 to 2017
$741k
Improving the measurement and analysis of long-term, patient-centered outcomes following acute respiratory failureK99HL141678 · NHLBI · UNIVERSITY OF PENNSYLVANIA · PI HARHAY, MICHAEL OSCAR · 2018 to 2019
$214k
NHLBI NIH HHS K08 HL116771NHLBI NIH HHS K23 HL146894NHLBI NIH HHS K99 HL141678NHLBI NIH HHS T32 HL007891
6 · The paper itself

Abstract

objectivesAs ICUs are increasingly a site of end-of-life care, many have adopted end-of-life care resources. We sought to determine the association of such resources with outcomes of ICU patients.

designRetrospective cohort study.

settingPennsylvania ICUs. PATIENTS: Medicare fee-for-service beneficiaries.

interventionsAvailability of any of one hospital-based resource (palliative care consultants) or four ICU-based resources (protocol for withdrawal of life-sustaining therapy, triggers for automated palliative care consultation, protocol for family meetings, and palliative care clinicians embedded in ICU rounds). MEASUREMENTS AND MAIN

resultsIn mixed-effects regression analyses, admission to a hospital with end-of-life resources was not associated with mortality, length of stay, or treatment intensity (mechanical ventilation, hemodialysis, tracheostomy, gastrostomy, artificial nutrition, or cardiopulmonary resuscitation); however, it was associated with a higher likelihood of discharge to hospice (odds ratio, 1.58; 95% CI, 1.11-2.24), an effect that was driven by ICU-based resources (odds ratio, 1.37; 95% CI, 1.04-1.81) rather than hospital-based resources (odds ratio, 1.19; 95% CI, 0.83-1.71). Instrumental variable analysis using differential distance (defined as the additional travel distance beyond the hospital closest to a patient's home needed to reach a hospital with end-of-life resources) demonstrated that among those for whom differential distance would influence receipt of end-of-life resources, admission to a hospital with such resources was not associated with any outcome.

conclusionsICU-based end-of-life care resources do not appear to change mortality but are associated with increased hospice utilization. Given that this finding was not confirmed by the instrumental variable analysis, future studies should attempt to verify this finding, and identify specific resources or processes of care that impact the care of ICU patients at the end of life.

Indexed as

Health Services AccessibilityPalliative CareAdolescentAdultAgedClinical ProtocolsCohort StudiesFemaleHospicesHospital MortalityHumansIntensive Care UnitsMaleMiddle AgedPatient DischargePennsylvania

Identifiers

PMID31464767
PMCPMC6791744

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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.