Evidence map›Paper›PMID 31632682›Full record

ArticleCanadian journal of kidney health and disease2019

Facility Variation and Predictors of Do Not Resuscitate Orders of Hemodialysis Patients in Canada: DOPPS.

Danielle Moorman, Ranjeeta Mallick, Emily Rhodes, Brian Bieber, Gihad Nesrallah, Jan Davis, Rita Suri, Jeffery Perl, Peter Tanuseputro, Ronald Pisoni and 2 more

Open access · goldAbstract read
In one paragraph

Article in Canadian journal of kidney health and disease, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.4field-weighted citation impact, top 29% 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

1 citing paper in PubMed, 3 citations in OpenAlex.

  1. Review
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

12 authors at 5 institutions in 2 countries.

Danielle MoormanThe Ottawa Hospital, ON, Canada.
Ranjeeta MallickThe Ottawa Hospital, ON, Canada.
Emily RhodesThe Ottawa Hospital, ON, Canada.
Brian BieberArbor Research Collaborative for Health, Ann Arbor, MI, USA.
Gihad NesrallahHumber River Hospital, Toronto, ON, Canada.
Jan DavisThe Ottawa Hospital, ON, Canada.
Rita SuriUniversité de Montréal, QC, Canada.
Jeffery PerlSt. Michael's Hospital, Toronto, ON, Canada.
Peter TanuseputroThe Ottawa Hospital, ON, Canada.
Ronald PisoniArbor Research Collaborative for Health, Ann Arbor, MI, USA.
Bruce RobinsonArbor Research Collaborative for Health, Ann Arbor, MI, USA.
Manish M SoodThe Ottawa Hospital, ON, Canada.ORCID https://orcid.org/0000-0002-9146-2344
Ottawa Hospital · CAArbor Research Collaborative for Health · USHumber River Regional Hospital · CASt. Michael's Hospital · CAUniversité de Montréal · CA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundLife expectancy in patients with end-stage kidney disease treated with hemodialysis (HD) is limited, and as such, the presence of an advanced care directive (ACD) may improve the quality of death as experienced for patients and families. Strategies to discuss and implement ACDs are limited with little being known about the status of Do Not Resuscitate (DNR) orders in the Canadian HD population.

objectivesUsing data from the Dialysis Outcomes and Practice Patterns Study (DOPPS), we set out to (1) examine the variability in DNR orders across Canada and its largest province, Ontario and (2) identify clinical and functional status measures associated with a DNR order.

designWe conducted a retrospective cohort study using data from the DOPPS Canada Phase 4 to 6 from 2009 to 2017.

settingDOPPS facilities in Canada. PATIENTS: All adults (>18 years) who initiated chronic HD with a documented ACD were included. MEASUREMENTS: ACD and DNR orders.

methodsDescriptive statistics were compared for baseline characteristics (demographics, comorbidities, medications, facility characteristics, and patient functional status) and DNR status. The crude proportion of patients per facility with a DNR order was calculated across Canada and Ontario. Functional status was determined by activities of daily living and components of the Kidney Disease Quality of Life (KDQOL)-validated questionnaire. We used generalized estimating equations (GEEs) to create sequential multivariable models (demographics, comorbidities, and functional status) of variables associated with DNR status.

resultsA total of 1556 (96% of total) patients treated with HD had a documented ACD and were included. A total of 10% of patients had a DNR order. The crude variation of DNR status differed considerably across facilities within Canada, between Ontario and non-Ontario, and within Ontario (interprovince variation = 6.3%-17.1%, Ontario vs non-Ontario = 8.2% vs 11.7%, intraprovincial variation [Ontario] = 1%-26%). Patients with a DNR order were more commonly older, white, with cardiac comorbidities, with less or shorter predialysis care compared with those without a DNR order. Patients with a DNR order reported lower energy, more difficulty with transfers, meal preparation, household tasks, and financial management. In a multivariate model, age, cardiac disease, stroke, dialysis duration, and intradialytic weight gain were associated with DNR status. LIMITATIONS: Relatively small number of events or measures in certain categories.

conclusionsA large inter- and intraprovincial (Ontario) variation was observed regarding DNR orders across Canada highlighting areas for potential quality improvement. While functional status did not appear to have a bearing on the presence of a DNR order, the presence of various comorbidities was associated with the presence of a DNR order.

Indexed as

dialysisDNRDOPPSend of life

Identifiers

PMID31632682
PMCPMC6778991
OpenAlexW2977249696

What OpenQuestion holds

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LicenceCC BY-NC
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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.