Evidence map›Paper›PMID 36107471›Full record

ArticleJMIR formative research2022

Digital Platform to Continuously Monitor Patients Using a Smartwatch: Preliminary Report.

Kaio Jia Bin, Lucas Ramos De Pretto, Fabio Beltrame Sanchez, Linamara Rizzo Battistella

Abstract read
In one paragraph

Article in JMIR formative research, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
–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

6 citing papers in PubMed.

  1. Observational
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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

4 authors.

Kaio Jia BinInstituto de Medicina Física e Reabilitação do Hospital das Clínicas, Faculdade de Medicina, Universidade de São Paulo, São Paulo, Brazil.ORCID https://orcid.org/0000-0002-3767-6288
Lucas Ramos De PrettoInstituto de Medicina Física e Reabilitação do Hospital das Clínicas, Faculdade de Medicina, Universidade de São Paulo, São Paulo, Brazil.ORCID https://orcid.org/0000-0001-7783-2137
Fabio Beltrame SanchezInstituto de Medicina Física e Reabilitação do Hospital das Clínicas, Faculdade de Medicina, Universidade de São Paulo, São Paulo, Brazil.ORCID https://orcid.org/0000-0002-9242-7460
Linamara Rizzo BattistellaInstituto de Medicina Física e Reabilitação do Hospital das Clínicas, Faculdade de Medicina, Universidade de São Paulo, São Paulo, Brazil.ORCID https://orcid.org/0000-0001-5275-0733

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundMonitoring vital signs such as oximetry, blood pressure, and heart rate is important to follow the evolution of patients. Smartwatches are a revolution in medicine allowing the collection of such data in a continuous and organic way. However, it is still a challenge to make this information available to health care professionals to make decisions during clinical follow-up.

objectiveThis study aims to build a digital solution that displays vital sign data from smartwatches, collected remotely, continuously, reliably, and from multiple users, with trigger warnings when abnormal results are identified.

methodsThis is a single-center prospective study following the guidelines "Evaluating digital health products" from the UK Health Security Agency. A digital platform with 3 different applications was created to capture and display data from the mobile phones of volunteers with smartwatches. We selected 80 volunteers who were followed for 24 weeks each, and the synchronization interval between the smartwatch and digital solution was recorded for each vital sign collected.

resultsIn 14 weeks of project progress, we managed to recruit 80 volunteers, with 68 already registered in the digital solution. More than 2.8 million records have already been collected, without system downtime. Less than 5% of continuous heart rate measurements (bpm) were synchronized within 2 hours. However, approximately 70% were synchronized in less than 24 hours, and 90% were synchronized in less than 119 hours.

conclusionsThe digital solution is working properly in its role of displaying data collected from smartwatches. Vital sign values are being monitored by the research team as part of the monitoring of volunteers. Although the digital solution proved unsuitable for monitoring urgent events, it is more than suitable for use in outpatient clinical use. This digital solution, which is based on cloud technology, can be applied in the future for telemonitoring in regions lacking health care professionals. Accuracy and reliability studies still need to be performed at the end of the 24-week follow-up.

Indexed as

clinical interventionclinical trialdigital healthdigital platformmobile healthsensitive datasmartwatchtelemedicinetelemonitoringwearable

Identifiers

PMID36107471
PMCPMC9523529

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Registered trials

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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.