Evidence map›Paper›PMID 33028056›Full record

ArticleClinical and experimental emergency medicine2020

Use of ultra-low cost fitness trackers as clinical monitors in low resource emergency departments.

Alon Dagan, Oren J Mechanic

Open access · diamondAbstract read
In one paragraph

Article in Clinical and experimental emergency medicine, 2020. 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
0.8field-weighted citation impact, top 31% 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, 10 citations in OpenAlex.

  1. Article
  2. Heart rate detection by Fitbit ChargeHRJournal of sleep research · 2021
    Article
  3. Article
  4. Review
  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

2 authors at 2 institutions in 1 country.

Alon DaganDepartment of Emergency Medicine, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA, USA.
Oren J MechanicDepartment of Emergency Medicine, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA, USA.
Beth Israel Deaconess Medical Center · USHarvard University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In low resource hospitals, strained staffing ratios and lack of telemetry can put patients at risk for clinical deterioration and unexpected cardiac arrest. While traditional telemetry systems can provide real-time continuous vital signs, they are too expensive for widespread use in these settings. At the same time, developed countries such as the United States have been increasingly utilizing remote monitoring systems to shift patient care from hospital to home. While the context is dramatically different, the challenge of monitoring patients in otherwise unmonitored settings is the same. At-home monitoring solutions range from highly comprehensive and expensive systems to inexpensive fitness trackers. In the field of global health, the adoption of this technology has been somewhat limited. We believe that low cost fitness trackers present an opportunity to address the challenge of vital sign monitoring in resource-poor settings at a fraction of the cost of existing technical solutions.

Indexed as

Fitness trackersGlobal healthInternet of ThingsMonitoring, physiologicTelemedicine

Identifiers

PMID33028056
PMCPMC7550805
OpenAlexW3089633325

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.