Computer-based versus in-person interventions for preventing and reducing stress in workers.
Anootnara Talkul Kuster1, Therese K Dalsbø, Bao Yen Luong Thanh
1Department of Environmental Health Science, Occupational Health and Safety, Faculty of Public Health, Khon Kaen University, 123 Moo 16 Mittapap Rd., Khon Kaen, Thailand, 40002.
Comparing computer-based and in-person stress management for employees, this review found very low-quality evidence with conflicting results. More research is needed to determine which method is more effective for reducing workplace stress.
Area of Science:
- Occupational Health
- Psychology
- Evidence-Based Practice
Background:
- Chronic stress negatively impacts employee health, productivity, and healthcare costs.
- Both in-person and computer-based stress management interventions are effective, but direct comparisons are limited.
- Computer-based interventions offer potential advantages in accessibility, convenience, and cost-effectiveness.
Purpose of the Study:
- To compare the effectiveness of computer-based versus in-person stress management interventions for workers.
- To synthesize evidence on the differential impact of delivery modes on employee stress levels.
Main Methods:
- Systematic search of multiple databases (e.g., CENTRAL, MEDLINE, PubMed) up to February 2017.
- Inclusion of randomized controlled trials comparing computer-based and in-person stress management interventions with identical content.
- Data extraction and analysis using standardized mean differences (SMDs) and GRADE approach, with meta-analysis precluded by heterogeneity.
Main Results:
- Two studies with 159 participants met inclusion criteria; both had a high risk of bias.
- Intervention content focused on stress education and coping strategies (e.g., relaxation, mindfulness).
- Conflicting results showed computer-based interventions as better in one study (SMD 0.81) and worse in another (SMD -0.35) for stress reduction.
Conclusions:
- Evidence comparing computer-based and in-person stress management interventions is of very low quality and conflicting.
- Small sample sizes and high risk of bias limit confidence in current effect estimates.
- Future research with robust methodology is essential to clarify the comparative effectiveness of different intervention delivery modes.
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