Evidence map›Paper›PMID 33393923›Full record

ArticleJMIR perioperative medicine2020

Wireless Remote Home Monitoring of Vital Signs in Patients Discharged Early After Esophagectomy: Observational Feasibility Study.

Martine J M Breteler, Lieke Numan, Jelle P Ruurda, Richard van Hillegersberg, Sylvia van der Horst, Daan A J Dohmen, Mathilde C van Rossum, Cor J Kalkman

Open access · diamondAbstract read
In one paragraph

Article in JMIR perioperative medicine, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed, 1 pooled it
4.3field-weighted citation impact, top 4% 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

21 citing papers in PubMed, 1 synthesis or guideline pooled it, 44 citations in OpenAlex.

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  9. Predictors and Significance of Readmission after Esophagogastric Surgery: A Nationwide Analysis.Annals of surgery open : perspectives of surgical history, education, and clinical approaches · 2024
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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

8 authors at 2 institutions in 1 country.

Martine J M BretelerDepartment of Anesthesiology, University Medical Center Utrecht, Utrecht, Netherlands.ORCID https://orcid.org/0000-0001-7342-0741
Lieke NumanDepartment of Anesthesiology, University Medical Center Utrecht, Utrecht, Netherlands.ORCID https://orcid.org/0000-0002-5896-7738
Jelle P RuurdaDepartment of Surgery, University Medical Center Utrecht, Utrecht, Netherlands.ORCID https://orcid.org/0000-0001-6584-1677
Richard van HillegersbergDepartment of Surgery, University Medical Center Utrecht, Utrecht, Netherlands.ORCID https://orcid.org/0000-0002-7134-261X
Sylvia van der HorstDepartment of Surgery, University Medical Center Utrecht, Utrecht, Netherlands.ORCID https://orcid.org/0000-0002-3185-8902
Daan A J DohmenLuscii Healthtech BV, Amsterdam, Netherlands.ORCID https://orcid.org/0000-0003-1738-914X
Mathilde C van RossumDepartment of Technical Medicine, University of Twente, Enschede, Netherlands.ORCID https://orcid.org/0000-0002-1144-3793
Cor J KalkmanDepartment of Anesthesiology, University Medical Center Utrecht, Utrecht, Netherlands.ORCID https://orcid.org/0000-0002-8372-6960
University Medical Center Utrecht · NLUniversity of Twente · NL

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundHospital stays after major surgery are shorter than ever before. Although enhanced recovery and early discharge have many benefits, some complications will now first manifest themselves in home settings. Remote patient monitoring with wearable sensors in the first days after hospital discharge may capture clinical deterioration earlier but is largely uncharted territory.

objectiveThis study aimed to assess the technical feasibility of patients, discharged after esophagectomy, being remotely monitored at home with a wireless patch sensor and the experiences of these patients. In addition, we determined whether observing vital signs with a wireless patch sensor influences clinical decision making.

methodsIn an observational feasibility study, vital signs of patients were monitored with a wearable patch sensor (VitalPatch, VitalConnect Inc) during the first 7 days at home after esophagectomy and discharge from hospital. Vital signs trends were shared with the surgical team once a day, and they were asked to check the patient's condition by phone each morning. Patient experiences were evaluated with a questionnaire, and technical feasibility was analyzed on a daily basis as the percentage of data loss and gap durations. In addition, the number of patients for whom a change in clinical decision was made based on the results of remote vital signs monitoring at home was assessed.

resultsPatients (N=20) completed 7 days each of home monitoring with the wearable patch sensor. Each of the patients had good recovery at home, and remotely observed vital signs trends did not alter clinical decision making. Patients appreciated that surgeons checked their vital signs daily (mean 4.4/5) and were happy to be called by the surgical team each day (mean 4.5/5). Wearability of the patch was high (mean 4.4/5), and no reports of skin irritation were mentioned. Overall data loss of vital signs measurements at home was 25%; both data loss and gap duration varied considerably among patients.

conclusionsRemote monitoring of vital signs combined with telephone support from the surgical team was feasible and well perceived by all patients. Future studies need to evaluate the impact of home monitoring on patient outcome as well as the cost-effectiveness of this new approach.

Indexed as

remote monitoringtelemonitoringvital signs monitoringwearableswireless monitoring

Identifiers

PMID33393923
PMCPMC7728408
OpenAlexW3097883070

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.