Evidence map›Paper›PMID 35955045›Full record

ArticleInternational journal of environmental research and public health2022

A Quality Improvement Project to Support Post-Intensive Care Unit Patients with COVID-19: Structured Telephone Support.

Sabine A J J Op 't Hoog, Anne M Eskes, Jos A H van Oers, José L Boerrigter, Meike W J C Prins-Smulders, Margo Oomen, Johannes G van der Hoeven, Hester Vermeulen, Lilian C M Vloet

Open access · goldAbstract read
In one paragraph

Article in International journal of environmental research and public health, 2022. 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
0.3field-weighted citation impact, top 44% 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. 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

9 authors at 5 institutions in 2 countries.

Sabine A J J Op 't HoogDepartment of Intensive Care, Elisabeth-Tweesteden Hospital, 5022 GC Tilburg, The Netherlands.ORCID 0000-0001-7537-3387
Anne M EskesDepartment of Surgery, Amerstam UMC, University of Amsterdam, 1105 AZ Amsterdam, The Netherlands.
Jos A H van OersDepartment of Intensive Care, Elisabeth-Tweesteden Hospital, 5022 GC Tilburg, The Netherlands.ORCID 0000-0001-8666-9810
José L BoerrigterDepartment of Surgery, Amerstam UMC, University of Amsterdam, 1105 AZ Amsterdam, The Netherlands.
Meike W J C Prins-SmuldersDepartment of Intensive Care, Elisabeth-Tweesteden Hospital, 5022 GC Tilburg, The Netherlands.ORCID 0000-0003-3090-0766
Margo OomenDepartment of Intensive Care, Elisabeth-Tweesteden Hospital, 5022 GC Tilburg, The Netherlands.
Johannes G van der HoevenDepartment of Intensive Care Medicine, Radboud University Medical Centre, 6525 GA Nijmegen, The Netherlands.
Hester VermeulenRadboud University Medical Centre, Radboud Institute for Health Sciences IQ Healthcare, 6500 HB Nijmegen, The Netherlands.
Lilian C M VloetResearch Department of Emergency and Critical Care, HAN University of Applied Science, 6525 EN Nijmegen, The Netherlands.
HAN University of Applied Sciences · NLElisabeth-TweeSteden Ziekenhuis · NLRadboud University Nijmegen · NLGriffith University · AUUniversity of Amsterdam · NL

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundMore than 50% of intensive care unit (ICU) survivors suffer from long-lasting physical, psychosocial, and cognitive health impairments, also called "post-intensive care syndrome" (PICS). Intensive care admission during the COVID-19 pandemic was especially uncertain and stressful, both for patients and for their family. An additional risk of developing symptoms of PICS was feared in the absence of structural aftercare for the patient and family shortly after discharge from the hospital. The purpose of this quality improvement study was to identify PICS symptoms and to support post-intensive care patients and families in the transition from the hospital to the home. Therefore, we offered post-ICU patients and families structured telephone support (STS).

methodsThis was a quality improvement study during the 2019 COVID-19 pandemic. A project team developed and implemented a tool to structure telephone calls to identify and order symptoms according to the PICS framework and to give individual support based on this information. We supported post-ICU patients diagnosed with COVID-19 pneumonia and their family caregivers within four weeks after hospital discharge. The reported findings were both quantitative and qualitative.

resultsForty-six post-ICU patients received structured telephone support and reported symptoms in at least one of the three domains of the PICS framework. More than half of the patients experienced a loss of strength or condition and fatigue. Cognitive and psychological impairments were reported less frequently. Family caregivers reported fewer impairments concerning fatigue and sleeping problems and expressed a need for a continuity of care. Based on the obtained information, the ICU nurse practitioners were able to check if individual care plans were optimal and clear and, if indicated, initiated disciplines to optimize further follow-up.

conclusionsThe implementation of the STS tool gave insight in the impairments of post-ICU patients. Surprisingly, family caregivers expressed fewer impairments. Giving support early after hospital discharge in a structured way may contribute to providing guidance in the individual care plans and treatment of the early symptoms of PICS (-F).

Indexed as

COVID-19Critical IllnessHospital to Home TransitionQuality ImprovementFatigueHumansIntensive Care UnitsPandemicsTelephoneCOVID-19evidence-based quality improvementsfamily-centered careintensive care unitnurse-led

Identifiers

PMID35955045
PMCPMC9368104
OpenAlexW4290511281

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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.