Evidence map›Paper›PMID 39328308›Full record

ArticleFrontiers in medical technology2024

Early detection of deteriorating patients in general wards through continuous contactless vital signs monitoring.

Ambuj Yadav, Himanshu Dandu, Gaurav Parchani, Kumar Chokalingam, Pooja Kadambi, Rajesh Mishra, Ahsina Jahan, Jean-Louis Teboul, Jos M Latour

Abstract read
In one paragraph

Article in Frontiers in medical technology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

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

  1. Pooled it
  2. Observational
  3. Article
  4. Article
  5. 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.

Ambuj YadavDepartment of Medicine, King George's Medical University, Lucknow, India.
Himanshu DanduDepartment of Medicine, King George's Medical University, Lucknow, India.
Gaurav ParchaniDepartment of Clinical Research, Turtle Shell Technologies Private Limited, Bengaluru, India.
Kumar ChokalingamDepartment of Clinical Research, Turtle Shell Technologies Private Limited, Bengaluru, India.
Pooja KadambiDepartment of Clinical Research, Turtle Shell Technologies Private Limited, Bengaluru, India.
Rajesh MishraDepartment of Clinical Research, Turtle Shell Technologies Private Limited, Bengaluru, India.
Ahsina JahanDepartment of Clinical Research, Turtle Shell Technologies Private Limited, Bengaluru, India.
Jean-Louis TeboulParis-Saclay Medical School, Paris-Saclay University, Le Kremlin-Bicêtre, France.
Jos M LatourFaculty of Health, University of Plymouth, Plymouth, United Kingdom.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: To assess the efficacy of continuous contactless vital signs monitoring with an automated Early Warning System (EWS) in detecting clinical deterioration among patients in general wards. Methods: A prospective observational cohort study was conducted in the medical unit of a tertiary care hospital in India, involving 706 patients over 84,448 monitoring hours. The study used a contactless ballistocardiography system (Dozee system) to continuously monitor heart rate, respiratory rate, and blood pressure. The study assessed total, mean, and median alerts at 24, 48, 72, 96, 120 h, and length of stay (LOS) before patient deterioration or discharge. It analyzed alert sensitivity and specificity, average time from initial alert to deterioration, and healthcare practitioners (HCP) activity. Study was registered with the Clinical Trials Registry-India CTRI/2022/10/046404. Results: Out of 706 patients, 33 (5%) experienced clinical deterioration, while 673 (95%) did not. The deterioration group consistently had a higher number of alerts compared to those who were discharged normally, across all time-points. On average, the time between the initial alert and clinical deterioration was 16 h within the last 24 h preceding the event. The sensitivity of the Dozee-EWS varied between 67% and 94%. HCP spend 10% of their time on vital signs check and documentation. Conclusions: This study suggests that utilizing contactless continuous vital signs monitoring with Dozee-EWS in general ward holds promise for enhancing the early detection of clinical deterioration. Further research is essential to evaluate the effectiveness across a wider range of clinical settings.

Indexed as

ballistocardiographycontactlesscontinuousEarly Warning System (EWS)general wardmonitoringremote

Identifiers

PMID39328308
PMCPMC11425790

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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.