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Effectiveness of eHealth interventions for reducing mental health conditions in employees: A systematic review and meta-analysis.

PloS one
January 1, 2017
Elizabeth Stratton et al. (6 authors)
Journal ArticleMeta-AnalysisReviewSystematic ReviewHuman Study
Study Details

Study Goal

The researchers aimed to evaluate the effectiveness of eHealth mental health interventions, including Mindfulness-based approaches, for employees and compare their efficacy to other intervention types like CBT and Stress Management.

Results Summary

Mindfulness-based interventions showed larger short-term effects (g = 0.60) compared to CBT-based (g = 0.15) and Stress Management-based (g = 0.17) interventions. The benefits persisted at follow-up, though reduced in magnitude.

Population

Employees (both universal/unselected and targeted/stressed groups)

Effective Dosage

Not specified

Duration

Not specified

Interactions

None mentioned

Extracted Claims (8)
InterventionDirectionEndpointPopulationDosageImpactClaim #
eHealth mental health interventions (App or web-based)
increase
standardized mental health outcomes
employees
g = 0.24, 95% CI 0.13 to 0.35
suggested a small positive effect
#1
eHealth mental health interventions (App or web-based)
increase
standardized mental health outcomes
employees
g = 0.23, 95% CI 0.03 to 0.42
still have a benefit, although reduced
#2
Mindfulness based interventions
increase
standardized mental health outcomes
employees
g = 0.60, 95% CI 0.34 to 0.85
showed larger effects
#3
Cognitive Behaviour Therapy (CBT) based interventions
increase
standardized mental health outcomes
employees
g = 0.15, 95% CI 0.02 to 0.29
showed effect
#4
Stress Management based interventions
increase
standardized mental health outcomes
employees
g = 0.17, 95%CI -0.01 to 0.34
showed effect
#5
Stress Management interventions
increase
standardized mental health outcomes
targeted groups
g = 0.64, 95% CI 0.54 to 0.85
differed by whether delivered to universal or targeted groups with a moderately large effect size
#6
Stress Management interventions
increase
standardized mental health outcomes
targeted groups
g = 0.69, 95% CI 0.06 to 1.33
differed by whether delivered to universal or targeted groups with a moderately large effect size
#7
Stress Management interventions
no change
standardized mental health outcomes
unselected groups
-
no effect
#8
Abstract

BACKGROUND: Many organisations promote eHealth applications as a feasible, low-cost method of addressing mental ill-health and stress amongst their employees. However, there are good reasons why the efficacy identified in clinical or other samples may not generalize to employees, and many Apps are being developed specifically for this group. The aim of this paper is to conduct the first comprehensive systematic review and meta-analysis evaluating the evidence for the effectiveness and examine the relative efficacy of different types of eHealth interventions for employees. METHODS: Systematic searches were conducted for relevant articles published from 1975 until November 17, 2016, of trials of eHealth mental health interventions (App or web-based) focused on the mental health of employees. The quality and bias of all identified studies was assessed. We extracted means and standard deviations from published reports, comparing the difference in effect sizes (Hedge's g) in standardized mental health outcomes. We meta-analysed these using a random effects model, stratified by length of follow up, intervention type, and whether the intervention was universal (unselected) or targeted to selected groups e.g. "stressed". RESULTS: 23 controlled trials of eHealth interventions were identified which overall suggested a small positive effect at both post intervention (g = 0.24, 95% CI 0.13 to 0.35) and follow up (g = 0.23, 95% CI 0.03 to 0.42). There were differential short term effects seen between the intervention types whereby Mindfulness based interventions (g = 0.60, 95% CI 0.34 to 0.85, n = 6) showed larger effects than the Cognitive Behaviour Therapy (CBT) based (g = 0.15, 95% CI 0.02 to 0.29, n = 11) and Stress Management based (g = 0.17, 95%CI -0.01 to 0.34, n = 6) interventions. The Stress Management interventions however differed by whether delivered to universal or targeted groups with a moderately large effect size at both post-intervention (g = 0.64, 95% CI 0.54 to 0.85) and follow-up (g = 0.69, 95% CI 0.06 to 1.33) in targeted groups, but no effect in unselected groups. INTERPRETATION: There is reasonable evidence that eHealth interventions delivered to employees may reduce mental health and stress symptoms post intervention and still have a benefit, although reduced at follow-up. Despite the enthusiasm in the corporate world for such approaches, employers and other organisations should be aware not all such interventions are equal, many lack evidence, and achieving the best outcomes depends upon providing the right type of intervention to the correct population.

Medical Subject Headings (MeSH)
Cognitive Behavioral TherapyHumansMental DisordersMindfulnessProgram EvaluationStress, PsychologicalTelemedicine
Study Links
Quality Scores
SafetyNot Assessed
Efficacy85/10
Quality78/10
Citation Metrics
Total Citations138
Citations/Year17.3
Relative Citation Ratio9.10
NIH Percentile97.4%
Research Impact Scores
APT Score0.95
Weight Score2.24
Normalized Score0.70
Related Supplements
Effectiveness of eHealth interventions for reducing mental h... | Panacea Index