Evidence map›Paper›PMID 35279578›Full record

Observational studyThe American journal of emergency medicine2022

A prospective observational study evaluating the use of remote patient monitoring in ED discharged COVID-19 patients in NYC.

Seung Mi Oh, Singh Nair, Alexander Casler, Diana Nguyen, Juan Pablo Forero, Celina Joco, Jason Kubert, David Esses, David Adams, Sunit Jariwala and 1 more

Open access · greenAbstract readObservational Study
In one paragraph

Observational study in The American journal of emergency medicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
1.8field-weighted citation impact, top 17% 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

5 citing papers in PubMed, 7 citations in OpenAlex.

  1. Article
  2. Review
  3. Observational
  4. Home Oxygen and Monitoring for COVID-19 Patients: A Multidisciplinary Team Approach.Journal of community hospital internal medicine perspectives · 2023
    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

11 authors at 3 institutions in 1 country.

Seung Mi OhDepartment of Anesthesiology, Albert Einstein College of Medicine, Bronx, NY 10461, USA.
Singh NairDepartment of Anesthesiology, Albert Einstein College of Medicine, Bronx, NY 10461, USA; Department of Anesthesiology, Montefiore Medical Center, Bronx, NY 10467, USA.
Alexander CaslerDepartment of Anesthesiology, Montefiore Medical Center, Bronx, NY 10467, USA.
Diana NguyenDepartment of Anesthesiology, Albert Einstein College of Medicine, Bronx, NY 10461, USA.
Juan Pablo ForeroDepartment of Anesthesiology, Albert Einstein College of Medicine, Bronx, NY 10461, USA.
Celina JocoDepartment of Anesthesiology, Montefiore Medical Center, Bronx, NY 10467, USA.
Jason KubertEmergency Department, Northern Dutchess Hospital, Rhinebeck, NY 12572, USA.
David EssesDepartment of Anesthesiology, Albert Einstein College of Medicine, Bronx, NY 10461, USA; Department of Anesthesiology, Montefiore Medical Center, Bronx, NY 10467, USA.
David AdamsDepartment of Anesthesiology, Albert Einstein College of Medicine, Bronx, NY 10461, USA; Department of Anesthesiology, Montefiore Medical Center, Bronx, NY 10467, USA.
Sunit JariwalaDivision of Allergy & Immunology, Department of Medicine, Montefiore Medical Center, Albert Einstein College of Medicine, Bronx, NY 10467, USA.
Jonathan LeffDepartment of Anesthesiology, Albert Einstein College of Medicine, Bronx, NY 10461, USA; Department of Anesthesiology, Montefiore Medical Center, Bronx, NY 10467, USA. Electronic address: jleff@montefiore.org.
Albert Einstein College of Medicine · USMontefiore Medical Center · USDutchess Community College · US

Funding

CTSA Administrative Supplement for Informatics Core: A novel AI/ML system to predict respiratory failure and ARDS in Covid-19 patientsUL1TR002556 · NCATS · ALBERT EINSTEIN COLLEGE OF MEDICINE, INC · PI KELLER, MARLA J, KIM, MIMI Y · 2018 to 2022
$26.7M
NCATS NIH HHS UL1 TR002556
6 · The paper itself

Abstract

objectivesWe investigated whether continuous remote patient monitoring (RPM) could significantly reduce return Emergency Department (ED) revisits among coronavirus disease 2019 (COVID-19) patients discharged from the emergency Department. MATERIALS AND

methodsA prospective observational study was conducted from a total of 2833 COVID-19 diagnosed patients who presented to the Montefiore Medical Center ED between September 2020-March 2021. Study patients were remotely monitored through a digital platform that was supervised 24/7 by licensed healthcare professionals. Age and time-period matched controls were randomly sampled through retrospective review. The primary outcome was ED revisit rates among the two groups.

resultsIn our study, 150 patients enrolled in the RPM program and 150 controls were sampled for a total of 300 patients. Overall, 59.1% of the patients identified as Hispanic/Latino. The RPM group had higher body mass index (BMI) (29 (25-35) vs. 27 (25-31) p-value 0.020) and rates of hypertension (50.7% (76) vs. 35.8% (54) p-value 0.009). There were no statistically significant differences in rates of ED revisit between the RPM group (8% (12)) and control group (9.3% (14)) (OR: 0.863; 95% CI:0.413-1. 803; p- 0.695). DISCUSSION AND

conclusionOur study explored the impact of continuous monitoring versus intermittent monitoring for reducing ED revisits in a largely underrepresented population of the Bronx. Our study demonstrated that continuous remote patient monitoring showed no significant difference in preventing ED revisits compared to non-standardized intermittent monitoring. However, potential other acute care settings where RPM may be useful for identifying high-risk patients for early interventions warrant further study.

Indexed as

COVID-19Emergency Service, HospitalHumansMonitoring, PhysiologicPatient DischargePatient ReadmissionRetrospective StudiesCOVID-19Emergency departmentHypoxiaRemote patient monitoring

Identifiers

PMID35279578
PMCPMC8868022
OpenAlexW4213431665

What OpenQuestion holds

Textmetadata
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.