Evidence map›Paper›PMID 33576743›Full record

ArticleJMIR perioperative medicine2021

Expectations of Continuous Vital Signs Monitoring for Recognizing Complications After Esophagectomy: Interview Study Among Nurses and Surgeons.

Mathilde van Rossum, Jobbe Leenen, Feike Kingma, Martine Breteler, Richard van Hillegersberg, Jelle Ruurda, Ewout Kouwenhoven, Marc van Det, Misha Luyer, Grard Nieuwenhuijzen and 2 more

Open access · diamondAbstract read
In one paragraph

Article in JMIR perioperative medicine, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed, 1 pooled it
2.0field-weighted citation impact, top 12% 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

8 citing papers in PubMed, 1 synthesis or guideline pooled it, 15 citations in OpenAlex.

  1. Pooled it
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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 1 country.

Mathilde van RossumDepartment of Cardiovascular and Respiratory Physiology, University of Twente, Enschede, Netherlands.ORCID https://orcid.org/0000-0002-1144-3793
Jobbe LeenenDepartment of Surgery, Isala, Zwolle, Netherlands.ORCID https://orcid.org/0000-0001-7269-2892
Feike KingmaDepartment of Surgery, University Medical Center Utrecht, Utrecht, Netherlands.ORCID https://orcid.org/0000-0002-7958-4584
Martine BretelerDepartment of Anesthesiology, University Medical Center Utrecht, Utrecht, Netherlands.ORCID https://orcid.org/0000-0001-7342-0741
Richard van HillegersbergDepartment of Surgery, University Medical Center Utrecht, Utrecht, Netherlands.ORCID https://orcid.org/0000-0002-7134-261X
Jelle RuurdaDepartment of Surgery, University Medical Center Utrecht, Utrecht, Netherlands.ORCID https://orcid.org/0000-0001-6584-1677
Ewout KouwenhovenDepartment of Surgery, ZGT Hospital, Almelo, Netherlands.ORCID https://orcid.org/0000-0001-8986-9076
Marc van DetDepartment of Surgery, ZGT Hospital, Almelo, Netherlands.ORCID https://orcid.org/0000-0002-7338-2818
Misha LuyerDepartment of Surgery, Catharina Hospital, Eindhoven, Netherlands.ORCID https://orcid.org/0000-0002-9483-1520
Grard NieuwenhuijzenDepartment of Surgery, Catharina Hospital, Eindhoven, Netherlands.ORCID https://orcid.org/0000-0002-5837-5513
Cor KalkmanDepartment of Anesthesiology, University Medical Center Utrecht, Utrecht, Netherlands.ORCID https://orcid.org/0000-0002-8372-6960
Hermie HermensDepartment of Biomedical Signals and Systems, University of Twente, Enschede, Netherlands.ORCID https://orcid.org/0000-0002-3065-3876
University Medical Center Utrecht · NLRadboud University Nijmegen · NLZiekenhuis Groep Twente · NLIsala · NLUniversity of Twente · NL

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundPatients undergoing esophagectomy are at serious risk of developing postoperative complications. To support early recognition of clinical deterioration, wireless sensor technologies that enable continuous vital signs monitoring in a ward setting are emerging.

objectiveThis study explored nurses' and surgeons' expectations of the potential effectiveness and impact of continuous wireless vital signs monitoring in patients admitted to the ward after esophagectomy.

methodsSemistructured interviews were conducted at 3 esophageal cancer centers in the Netherlands. In each center, 2 nurses and 2 surgeons were interviewed regarding their expectations of continuous vital signs monitoring for early recognition of complications after esophagectomy. Historical data of patient characteristics and clinical outcomes were collected in each center and presented to the local participants to support estimations on clinical outcome.

resultsThe majority of nurses and surgeons expected that continuous vital signs monitoring could contribute to the earlier recognition of deterioration and result in earlier treatment for postoperative complications, although the effective time gain would depend on patient and situational factors. Their expectations regarding the impact of potential earlier diagnosis on clinical outcomes varied. Nevertheless, most caregivers would consider implementing continuous monitoring in the surgical ward to support patient monitoring after esophagectomy.

conclusionsCaregivers expected that wireless vital signs monitoring would provide opportunities for early detection of postoperative complications in patients undergoing esophagectomy admitted to the ward and prevent sequelae under certain circumstances. As the technology matures, clinical outcome studies will be necessary to objectify these expectations and further investigate overall effects on patient outcome.

Indexed as

esophagectomyphysiological monitoringpostoperative complicationstelemedicinevital signs

Identifiers

PMID33576743
PMCPMC7910120
OpenAlexW3127352355

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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.