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Cochrane Database of Systematic Reviews

Computer-based versus in-person interventions for preventing and reducing stress in workers

Overview of attention for article published in Cochrane database of systematic reviews, August 2017
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (90th percentile)
  • Good Attention Score compared to outputs of the same age and source (65th percentile)

Mentioned by

35 tweeters
2 Facebook pages


11 Dimensions

Readers on

264 Mendeley
Computer-based versus in-person interventions for preventing and reducing stress in workers
Published in
Cochrane database of systematic reviews, August 2017
DOI 10.1002/14651858.cd011899.pub2
Pubmed ID

Anootnara Talkul Kuster, Therese K Dalsbø, Bao Yen Luong Thanh, Arnav Agarwal, Quentin V Durand-Moreau, Ingvild Kirkehei


Chronic exposure to stress has been linked to several negative physiological and psychological health outcomes. Among employees, stress and its associated effects can also result in productivity losses and higher healthcare costs. In-person (face-to-face) and computer-based (web- and mobile-based) stress management interventions have been shown to be effective in reducing stress in employees compared to no intervention. However, it is unclear if one form of intervention delivery is more effective than the other. It is conceivable that computer-based interventions are more accessible, convenient, and cost-effective. To compare the effects of computer-based interventions versus in-person interventions for preventing and reducing stress in workers. We searched CENTRAL, MEDLINE, PubMed, Embase, PsycINFO, NIOSHTIC, NIOSHTIC-2, HSELINE, CISDOC, and two trials registers up to February 2017. We included randomised controlled studies that compared the effectiveness of a computer-based stress management intervention (using any technique) with a face-to-face intervention that had the same content. We included studies that measured stress or burnout as an outcome, and used workers from any occupation as participants. Three authors independently screened and selected 75 unique studies for full-text review from 3431 unique reports identified from the search. We excluded 73 studies based on full-text assessment. We included two studies. Two review authors independently extracted stress outcome data from the two included studies. We contacted study authors to gather additional data. We used standardised mean differences (SMDs) with 95% confidence intervals (CIs) to report study results. We did not perform meta-analyses due to variability in the primary outcome and considerable statistical heterogeneity. We used the GRADE approach to rate the quality of the evidence. Two studies met the inclusion criteria, including a total of 159 participants in the included arms of the studies (67 participants completed computer-based interventions; 92 participants completed in-person interventions). Workers were primarily white, Caucasian, middle-aged, and college-educated. Both studies delivered education about stress, its causes, and strategies to reduce stress (e.g. relaxation or mindfulness) via a computer in the computer-based arm, and via small group sessions in the in-person arm. Both studies measured stress using different scales at short-term follow-up only (less than one month). Due to considerable heterogeneity in the results, we could not pool the data, and we analysed the results of the studies separately. The SMD of stress levels in the computer-based intervention group was 0.81 standard deviations higher (95% CI 0.21 to 1.41) than the in-person group in one study, and 0.35 standard deviations lower (95% CI -0.76 to 0.05) than the in-person group in another study. We judged both studies as having a high risk of bias. We found very low-quality evidence with conflicting results, when comparing the effectiveness of computer-based stress management interventions with in-person stress management interventions in employees. We could include only two studies with small sample sizes. We have very little confidence in the effect estimates. It is very likely that future studies will change these conclusions.

Twitter Demographics

The data shown below were collected from the profiles of 35 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 264 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 264 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 54 20%
Student > Bachelor 30 11%
Student > Ph. D. Student 30 11%
Researcher 29 11%
Student > Postgraduate 15 6%
Other 52 20%
Unknown 54 20%
Readers by discipline Count As %
Medicine and Dentistry 55 21%
Psychology 47 18%
Nursing and Health Professions 31 12%
Social Sciences 17 6%
Economics, Econometrics and Finance 7 3%
Other 42 16%
Unknown 65 25%

Attention Score in Context

This research output has an Altmetric Attention Score of 23. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 07 November 2019.
All research outputs
of 17,365,229 outputs
Outputs from Cochrane database of systematic reviews
of 11,660 outputs
Outputs of similar age
of 277,919 outputs
Outputs of similar age from Cochrane database of systematic reviews
of 254 outputs
Altmetric has tracked 17,365,229 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 94th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 11,660 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 25.0. This one has done well, scoring higher than 76% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 277,919 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 90% of its contemporaries.
We're also able to compare this research output to 254 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 65% of its contemporaries.