Evidence map›Paper›PMID 31420399›Full record

Trial reportBMJ open2019

Reliability of a wearable wireless patch for continuous remote monitoring of vital signs in patients recovering from major surgery: a clinical validation study from the TRaCINg trial.

Candice Downey, Shu Ng, David Jayne, David Wong

Open access · goldAbstract readRandomized Controlled TrialValidation Study
In one paragraph

Trial report in BMJ open, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 38 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
38citing papers in PubMed, 2 pooled it
4.3field-weighted citation impact, top 5% 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

38 citing papers in PubMed, 2 syntheses or guidelines pooled it, 70 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Article
  4. Observational
  5. Article
  6. Article
  7. Review
  8. Article
  9. Review
  10. Observational
  11. Continuous vital sign monitoring with BiobeatJournal of clinical monitoring and computing · 2025
    Observational
  12. Article
  13. Observational
  14. Review
  15. Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. 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

4 authors at 2 institutions in 1 country.

Candice DowneyLeeds Institute of Medical Research at St. James's, University of Leeds, Leeds, UK c.l.downey@leeds.ac.uk.ORCID 0000-0001-9818-8002
Shu NgSchool of Medicine, University of Leeds, Leeds, UK.
David JayneLeeds Institute of Medical Research at St. James's, University of Leeds, Leeds, UK.
David WongCentre for Health Informatics, University of Manchester, Manchester, UK.
University of Leeds · GBManchester Academic Health Science Centre · GB

Funding

Department of Health DRF-2016-09-037
6 · The paper itself

Abstract

objectiveTo validate whether a wearable remote vital signs monitor could accurately measure heart rate (HR), respiratory rate (RR) and temperature in a postsurgical patient population at high risk of complications.

designManually recorded vital signs data were paired with vital signs data derived from the remote monitor set in patients participating in the Trial of Remote versus Continuous INtermittent monitoring (TRaCINg) study: a trial of continuous remote vital signs monitoring.

settingSt James's University Hospital, UK.

participants51 patients who had undergone major elective general surgery.

interventionsThe intervention was the SensiumVitals monitoring system. This is a wireless patch worn on the patient's chest that measures HR, RR and temperature continuously. The reference standard was nurse-measured manually recorded vital signs. PRIMARY AND SECONDARY OUTCOME MEASURES: The primary outcomes were the 95% limits of agreement between manually recorded and wearable patch vital sign recordings of HR, RR and temperature. The secondary outcomes were the percentage completeness of vital sign patch data for each vital sign.

results1135 nurse observations were available for analysis. There was no clinically meaningful bias in HR (1.85 bpm), but precision was poor (95% limits of agreement -23.92 to 20.22 bpm). Agreement was poor for RR (bias 2.93 breaths per minute, 95% limits of agreement -8.19 to 14.05 breaths per minute) and temperature (bias 0.82

conclusionsThe continuous monitoring system did not reliably provide HR consistent with nurse measurements. The accuracy of RR and temperature was outside of acceptable limits. Limitations of the system could potentially be overcome through better signal processing. While acknowledging the time pressures placed on nursing staff, inaccuracies in the manually recorded data present an opportunity to increase awareness about the importance of manual observations, particularly with regard to methods of manual HR and RR measurements.

Indexed as

Elective Surgical ProceduresVital SignsWearable Electronic DevicesHeart RateHumansMonitoring, PhysiologicPostoperative CareReproducibility of ResultsRespiratory RateTemperatureWireless Technologycontinuousreliabilityremote monitoringvalidationvital signs

Identifiers

PMID31420399
PMCPMC6701670
OpenAlexW2967712097

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.