Evidence map›Paper›PMID 36718468›Full record

ArticleNew technology, work and employment2022

Telework quality and employee well-being: Lessons learned from the COVID-19 pandemic in Italy.

Massimo Miglioretti, Andrea Gragnano, Silvia Simbula, Marco Perugini

Abstract read
In one paragraph

Article in New technology, work and employment, 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

4 authors.

Massimo MigliorettiDepartment of Psychology, Bicocca Center for Applied Psychology University of Milano-Bicocca Milan Italy.ORCID 0000-0001-6719-1137
Andrea GragnanoDepartment of Psychology, Bicocca Center for Applied Psychology University of Milano-Bicocca Milan Italy.
Silvia SimbulaDepartment of Psychology, Bicocca Center for Applied Psychology University of Milano-Bicocca Milan Italy.
Marco PeruginiDepartment of Psychology, Bicocca Center for Applied Psychology University of Milano-Bicocca Milan Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The coronavirus disease 2019 (COVID-19) forced organisations to implement intensive telework for many of their workers overnight. This scenario was completely new, and the emergency caused by COVID-19 created the possibility of experimenting with new ways of working with an unknown impact on employee well-being. Drawing on previous literature, we defined a model of telework quality consisting of the following four core domains: agile offices within organisations, functional remote workstations, flex-time and engaging management. We identified two high-quality and low-quality telework profiles using latent profile analysis on a data sample of 2295 insurance and financial sector employees. Demographic, occupational and procedural characteristics were associated with the probability of being in the positive or negative profiles. Our results showed that employees' emotional exhaustion and work engagement levels were related to telework quality. This study suggests that organisations need to consider the quality of telework to effectively adopt new ways of working that foster employee well-being.

Indexed as

COVID‐19emotional exhaustionlatent profile analysisteleworkwell‐beingwork engagement

Identifiers

PMID36718468
PMCPMC9877874

What OpenQuestion holds

Textmetadata
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.