Evidence map›Paper›PMID 35095008›Full record

ArticleWork (Reading, Mass.)2022

Impact of workplace displacement during a natural disaster on computer performance metrics: A 2-year interrupted time series analysis.

Kamrie Sarnosky, Mark Benden, Garett Sansom, Leslie Cizmas, Annette K Regan

Abstract read
In one paragraph

Article in Work (Reading, Mass.), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. 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

5 authors.

Kamrie SarnoskySchool of Public Health, Texas A&M University, College Station, TX, USA.
Mark BendenSchool of Public Health, Texas A&M University, College Station, TX, USA.
Garett SansomSchool of Public Health, Texas A&M University, College Station, TX, USA.
Leslie CizmasSchool of Public Health, Texas A&M University, College Station, TX, USA.
Annette K ReganSchool of Public Health, Texas A&M University, College Station, TX, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundRemote working may enhance company resiliency during natural disasters and other events causing workplace displacement.

objectiveWe conducted an interrupted time series analysis to investigate the impact of Hurricane Harvey on employee computer use during and after a seven-month displacement period from the physical workplace.

methodsErgonomic software was used to collect information on employees' computer usage.

resultsAlthough there was no change in total computer use in response to the hurricane (β 0.25), active computer use significantly declined (β -0.90). All measured computer use behaviors returned to baseline prior to the complete return to the physical workspace.

conclusionDespite a transient period of reduced activity during closure of the workplace building, productivity returned to normal prior to the employees' return to a commercial workspace. The ability to work remotely may improve resiliency of employees to perform workplace tasks during events causing workplace displacement.

Indexed as

Natural DisastersWorkplaceComputersHumansInterrupted Time Series AnalysisDisaster resiliencyemployee adjustmentinterrupted time seriesremote workvirtual workspace

Identifiers

PMID35095008
PMCPMC8925109

What OpenQuestion holds

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LicenceCC BY-NC
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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.