| Authors | Ruben Vonderlin, Miriam Biermann, Martin Bohus, Lisa Lyssenko |
| Journal | Mindfulness |
| Year | 2020 |
| DOI | 10.1007/s12671-020-01328-3 |
| Citations | 246 |
TL;DR
Across 56 RCTs, workplace mindfulness programs produced small-to-medium reductions in stress and burnout and improvements in well-being and job satisfaction — effects that held up at follow-up assessments up to 12 weeks later, making this the strongest available evidence base for designing your own workplace mindfulness experiment. ---
Outcomes were grouped into clusters from whatever scales the original studies used. Common instruments across primary studies included:
When a study used multiple instruments for the same construct, the authors computed a weighted pooled mean and standard deviation to avoid double-counting.
Study design: This is a pre-registered (PROSPERO: CRD42015019282) systematic review and meta-analysis conducted according to PRISMA guidelines and Cochrane recommendations. It synthesises data from 56 randomised controlled trials (RCTs) published up to November 2018.
Literature search: Four electronic databases (PsychInfo, PubMed, Web of Science, Academic Search Premier) plus manual reference screening and author contact for unpublished data.
Effect size calculation: Hedges' g (a bias-corrected standardised mean difference) was computed for each outcome, comparing the mindfulness group to the control group at post-intervention and at follow-up. Positive g = better outcome in the mindfulness group; negative g = reduction in a bad thing (stress, burnout). Standard conventions: g = 0.2 small, g = 0.5 medium, g = 0.8 large.
Statistical model: Random-effects models (restricted maximum likelihood estimator), which assume true effect sizes vary across studies and do not force a single "true" effect — appropriate given the large variability in programmes and populations.
Heterogeneity: Assessed using I² (the proportion of variance due to between-study differences rather than chance). I² was medium-to-high for most outcomes (e.g., I² = 89.8% for stress, 91.5% for subsyndromal symptoms), meaning results varied substantially across studies.
Sensitivity analyses: Cook's distance outlier detection was applied to every outcome. Analyses were repeated after removing influential studies to check robustness.
Moderator analyses: Conducted for outcomes with at least 10 primary effect sizes and at least moderate heterogeneity (I² > 50%). Tested programme type, hours of attendance, weeks of duration, delivery mode, location, gender, age, profession, education, work experience, control group type, and ITT handling.
Follow-up data: Only 18 studies (34%) provided follow-up data within 12 weeks post-programme; only 7 provided longer follow-ups (16 weeks to 3 years), too few for meta-analytical pooling beyond 12 weeks.
What this design CAN prove: That, on average across diverse programmes and workplaces, employees randomised to a mindfulness programme score better than controls on well-being, stress, and job satisfaction outcomes — immediately after the programme and for up to 12 weeks after.
What this design CANNOT prove:
Major weaknesses:
Post-intervention between-group effects (mindfulness vs. control):
Related papers
Wheat From Chaff: Meta-Analysis As Quantitative Literature Review
T. D. Stanley · 2001
RCTFemale Empowerment: Impact of a Commitment Savings Product in the Philippines
Dean Karlan, Nava Ashraf, Wesley Yin +3 more · 2006
PaperGlobal, regional, and national burden of disorders affecting the nervous system, 1990–2021: a systematic analysis for the Global Burden of Disease Study 2021
Jaimie D Steinmetz, Katrin Seeher, Nicoline Schiess +97 more · 2024
PaperWill COVID-19 fiscal recovery packages accelerate or retard progress on climate change?
Cameron Hepburn, Brian O’Callaghan, Nicholas Stern +2 more · 2020