Evidence map›Paper›PMID 33498311›Full record

ArticleSensors (Basel, Switzerland)2021

Wearable Sensing Devices: Towards the Development of a Personalized System for Construction Safety and Health Risk Mitigation.

Chukwuma Nnaji, Ibukun Awolusi, Jee Woong Park, Alex Albert

Open access · goldAbstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
9.6field-weighted citation impact, top 1% 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

9 citing papers in PubMed, 78 citations in OpenAlex.

  1. Review
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  3. Article
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  7. Safety and health management response to COVID-19 in the construction industry: A perspective of fieldworkers.Process safety and environmental protection : transactions of the Institution of Chemical Engineers, Part B · 2022
    Article
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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 at 4 institutions in 1 country.

Chukwuma NnajiDepartment of Civil, Construction, and Environmental Engineering, The University of Alabama, 3043 HM Comer, Tuscaloosa, AL 35487, USA.ORCID 0000-0002-3725-4376
Ibukun AwolusiDepartment of Construction Science, The University of Texas at San Antonio, 501 W César E Chávez Blvd, San Antonio, TX 78207, USA.ORCID 0000-0001-8723-8609
Jee Woong ParkDepartment of Civil and Environmental Engineering and Construction, University of Nevada, Las Vegas, NV 89154, USA.ORCID 0000-0003-2205-6585
Alex AlbertDepartment of Civil, Construction, and Environmental Engineering, North Carolina State University, 2501 Stinson Dr., Raleigh, NC 27607, USA.
North Carolina State University · USThe University of Texas at San Antonio · USUniversity of Alabama · USUniversity of Nevada, Las Vegas · US

Funding

University of Alabama ORED Small GrantUniversity of Texas at San Antonio INTRA Grant
6 · The paper itself

Abstract

Wearable sensing devices (WSDs) are increasingly helping workers stay safe and healthy in several industries. However, workers, especially in the construction industry, have shown some aversion towards the use of WSDs due to their ability to capture specific information that may be considered personal and private. However, this revered information may provide some critical insight needed by management to plan and optimize worksite safety and support technology adoption in decision making. Therefore, there is a need to develop personalized WSD systems that are mutually beneficial to workers and management to ensure successful WSD integration. The present study aims to contribute to knowledge and practice by filling this critical gap using insight from 330 construction workers with experience using WSDs. The results from this study indicate that all 11 WSD functions identified through this study play a vital role in improving worker safety and health and that approximately two out of three workers are open to sharing the physiological and environmental information captured using these WSDs with their management. However, functions for detecting workers' proximity to workplace hazards, specifically energized electrical materials, toxic gas, and fire/smoke, were the most critical functions that had mutual value to workers and management. Finally, the present study proposed and evaluated a phased personalized WSD system that should encourage successful WSD integration.

Indexed as

Construction IndustryOccupational HealthWearable Electronic DevicesHumansWorkplaceconstruction managementIoTsafety technologywearable sensing deviceworker health

Identifiers

PMID33498311
PMCPMC7864037
OpenAlexW3123424230

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.