Evidence map›Paper›PMID 30183975›Full record

ArticleRevista Brasileira de terapia intensiva

Effect of a palliative care program on trends in intensive care unit utilization and do-not-resuscitate orders during terminal hospitalizations. An interrupted time series analysis.

João Gabriel Rosa Ramos, Fernanda Correia Tourinho, Patrícia Borrione, Paula Azi, Tuanny Andrade, Vanessa Costa, Zan Reis, Paulo Benigno Pena Batista, Ana Verena Mendes

Abstract read
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Article in Revista Brasileira de terapia intensiva. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

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0cells of the map it votes in
6citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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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

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3 · Its place in the literature

Who cites it

6 citing papers in PubMed.

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4 · The record

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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

9 authors.

João Gabriel Rosa RamosHospital São Rafael - Salvador (BA), Brasil.
Fernanda Correia TourinhoHospital São Rafael - Salvador (BA), Brasil.
Patrícia BorrioneHospital São Rafael - Salvador (BA), Brasil.
Paula AziHospital São Rafael - Salvador (BA), Brasil.
Tuanny AndradeHospital São Rafael - Salvador (BA), Brasil.
Vanessa CostaHospital São Rafael - Salvador (BA), Brasil.
Zan ReisHospital São Rafael - Salvador (BA), Brasil.
Paulo Benigno Pena BatistaHospital São Rafael - Salvador (BA), Brasil.
Ana Verena MendesHospital São Rafael - Salvador (BA), Brasil.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo assess the effect of the implementation of a palliative care program on do-not-resuscitate orders and intensive care unit utilization during terminal hospitalizations.

methodsData were retrospectively collected for all patients who died in a tertiary hospital in Brazil from May 2014 to September 2016. We analyzed the frequency of do-not-resuscitate orders and intensive care unit admissions among in-hospital deaths. Interrupted time series analyses were used to evaluate differences in trends of do-not-resuscitate orders and intensive care unit admissions before (17 months) and after (12 months) the implementation of a palliative care program.

resultsWe analyzed 48,372 hospital admissions and 1,071 in-hospital deaths. Deaths were preceded by do-not-resuscitate orders in 276 (25.8%) cases and admissions to the intensive care unit occurred in 814 (76%) cases. Do-not-resuscitate orders increased from 125 (20.4%) to 151 (33%) cases in the pre-implementation and post-implementation periods, respectively (p < 0.001). Intensive care unit admissions occurred in 469 (76.5%) and 345 (75.3%) cases in the pre-implementation and post-implementation periods, respectively (p = 0.654). Interrupted time series analyses confirmed a trend of increased do-not-resuscitate order registrations, from an increase of 0.5% per month pre-implementation to an increase of 2.9% per month post-implementation (p < 0.001), and demonstrated a trend of decreased intensive care unit utilization, from an increase of 0.6% per month pre-implementation to a decrease of -0.9% per month in the post-implementation period (p = 0.001).

conclusionThe implementation of a palliative care program was associated with a trend of increased registration of do-not-resuscitate orders and a trend of decreased intensive care unit utilization during terminal hospitalizations.

Indexed as

HospitalizationResuscitation OrdersAgedAged, 80 and overBrazilFemaleHumansIntensive Care UnitsInterrupted Time Series AnalysisMaleMiddle AgedPalliative CareRetrospective StudiesTerminal CareTertiary Care CentersTime Factors

Identifiers

PMID30183975
PMCPMC6180461

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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.