Evidence map›Paper›PMID 28416016›Full record

ArticleBMC health services research2017

Variation in rates of ICU readmissions and post-ICU in-hospital mortality and their association with ICU discharge practices.

Nelleke van Sluisveld, Ferishta Bakhshi-Raiez, Nicolette de Keizer, Rebecca Holman, Gert Wester, Hub Wollersheim, Johannes G van der Hoeven, Marieke Zegers

Abstract readMulticenter Study
In one paragraph

Article in BMC health services research, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
21citing 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

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

  1. Pooled it
  2. Observational
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Machine Learning for Benchmarking Critical Care Outcomes.Healthcare informatics research · 2023
    Article
  11. The impact of age on intensive care.Ageing research reviews · 2023
    Review
  12. Article
  13. Observational
  14. Observational
  15. Readmissions to General ICUs in a Geographic Area of Poland Are Seemingly Associated with Better Outcomes.International journal of environmental research and public health · 2020
    Article
  16. Article
  17. Article
  18. The Critical Care Society of Southern Africa Consensus Statement on ICU Triage and Rationing (ConICTri).The Southern African journal of critical care : the official journal of the Critical Care Society · 2019
    Article
  19. Review
  20. 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

8 authors.

Nelleke van SluisveldRadboud University Medical Center, Radboud Institute for Health Sciences, IQ healthcare, P.O. box 9101, 6500 HB, Nijmegen, the Netherlands. nelleke.vansluisveld@radboudumc.nl.
Ferishta Bakhshi-RaiezStichting Nationale Intensive Care Evaluatie (NICE), Amsterdam Medical Centre, P.O. box 22660, 1105 AZ, Amsterdam, The Netherlands.
Nicolette de KeizerStichting Nationale Intensive Care Evaluatie (NICE), Amsterdam Medical Centre, P.O. box 22660, 1105 AZ, Amsterdam, The Netherlands.
Rebecca HolmanStichting Nationale Intensive Care Evaluatie (NICE), Amsterdam Medical Centre, P.O. box 22660, 1105 AZ, Amsterdam, The Netherlands.
Gert WesterRadboud University Medical Center, Radboud Institute for Health Sciences, IQ healthcare, P.O. box 9101, 6500 HB, Nijmegen, the Netherlands.
Hub WollersheimRadboud University Medical Center, Radboud Institute for Health Sciences, IQ healthcare, P.O. box 9101, 6500 HB, Nijmegen, the Netherlands.
Johannes G van der HoevenDepartment of Intensive Care Medicine, Radboud University Medical Center, P.O. box 9101, 6500 HB, Nijmegen, The Netherlands.
Marieke ZegersRadboud University Medical Center, Radboud Institute for Health Sciences, IQ healthcare, P.O. box 9101, 6500 HB, Nijmegen, the Netherlands.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundVariation in intensive care unit (ICU) readmissions and in-hospital mortality after ICU discharge may indicate potential for improvement and could be explained by ICU discharge practices. Our objective was threefold: (1) describe variation in rates of ICU readmissions within 48 h and post-ICU in-hospital mortality, (2) describe ICU discharge practices in Dutch hospitals, and (3) study the association between rates of ICU readmissions within 48 h and post-ICU in-hospital mortality and ICU discharge practices.

methodsWe analysed data on 42,040 admissions to 82 (91.1%) Dutch ICUs in 2011 from the Dutch National Intensive Care Evaluation (NICE) registry to describe variation in standardized ICU readmission and post-ICU mortality rates using funnel-plots. We send a questionnaire to all Dutch ICUs. 75 ICUs responded and their questionnaire data could be linked to 38,498 admissions in the NICE registry. Generalized estimation equations analyses were used to study the association between ICU readmissions and post-ICU mortality rates and the identified discharge practices, i.e. (1) ICU discharge criteria; (2) bed managers; (3) early discharge planning; (4) step-down facilities; (5) medication reconciliation; (6) verbal and written handover; (7) monitoring of post-ICU patients; and (8) consulting ICU nurses. In all analyses, the outcomes were corrected for patient-related confounding factors.

resultsThe standardized rate of ICU readmissions varied between 0.14 and 2.67 and 20.8% of the hospitals fell outside the 95% control limits and 3.6% outside the 99.8% control limits. The standardized rate of post-ICU mortality varied between 0.07 and 2.07 and 17.1% of the hospitals fell outside the 95% control limits and 4.9% outside the 99.8% control limits. We could not demonstrate an association between the eight ICU discharge practices and rates of ICU readmissions or post-ICU in-hospital mortality. Implementing a higher number of ICU discharge practices was also not associated with better patient outcomes.

conclusionsWe found both variation in patient outcomes and variation in ICU discharge practices between ICUs. However, we found no association between discharge practices and rates of ICU readmissions or post-ICU mortality. Further research is necessary to find factors, which may influence these patient outcomes, in order to improve quality of care.

Indexed as

AgedCritical CareFemaleHospitalizationHospital MortalityHumansIntensive Care UnitsMaleMiddle AgedNetherlandsPatient DischargePatient ReadmissionProfessional PracticeRegistriesRetrospective StudiesCritical careIntensive careMortalityPatient dischargePatient readmissionVariation

Identifiers

PMID28416016
PMCPMC5393034

What OpenQuestion holds

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Registered trials

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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.