Evidence map›Paper›PMID 37410732›Full record

ArticlePloS one2023

Examining workweek variations in computer usage patterns: An application of ergonomic monitoring software.

Taehyun Roh, Chukwuemeka Esomonu, Joseph Hendricks, Anisha Aggarwal, Nishat Tasnim Hasan, Mark Benden

Abstract read
In one paragraph

Article in PloS one, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed, 1 pooled it
–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

1 citing paper in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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

6 authors.

Taehyun RohDepartment of Epidemiology and Biostatistics, School of Public Health, Texas A&M University, College Station, Texas, United States of America.ORCID 0000-0003-2755-1841
Chukwuemeka EsomonuDepartment of Environmental and Occupational Health, School of Public Health, Texas A&M University, College Station, Texas, United States of America.
Joseph HendricksDepartment of Environmental and Occupational Health, School of Public Health, Texas A&M University, College Station, Texas, United States of America.
Anisha AggarwalDepartment of Health Behavior, School of Public Health, Texas A&M University, College Station, Texas, United States of America.
Nishat Tasnim HasanDepartment of Epidemiology and Biostatistics, School of Public Health, Texas A&M University, College Station, Texas, United States of America.
Mark BendenDepartment of Environmental and Occupational Health, School of Public Health, Texas A&M University, College Station, Texas, United States of America.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Alternative work arrangements have emerged as potential solutions to enhance productivity and work-life balance. However, accurate and objective measurement of work patterns is essential to make decisions about adjusting work arrangements. This study aimed at evaluating objective computer usage metrics as a proxy for productivity using RSIGuard, an ergonomics monitoring software. Data were collected from 789 office-based employees over a two-year period between January 1, 2017 and December 31, 2018 at a large energy company in Texas. A generalized mixed-effects model was utilized to compare computer usage patterns across different days of the week and times of the day. Our findings demonstrate that computer output metrics significantly decrease on Fridays compared to other weekdays, even after controlling for total active hours. Additionally, we found that workers' output varied depending on the time of day, with reduced computer usage observed in the afternoons and a significant decrease on Friday afternoons. The decrease in the number of typos was much less than that in the number of words typed, indicating reduced work efficiency on Friday afternoons. These objective indicators provide a novel approach to evaluating the productivity during the workweek and can help optimize work arrangements to promote sustainability for the benefit of employers, employees, and the environment.

Indexed as

ComputersSoftwareErgonomicsHumansTexas

Identifiers

PMID37410732
PMCPMC10325041

What OpenQuestion holds

Textmetadata
LicenceCC BY
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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.