Burnout is becoming more common among healthcare professionals, notably during the COVID-19 pandemic. It can result in lower performance and effectiveness at work as well as employment withdrawal, all of which affects the standard of healthcare services provided.

In order to ascertain the effectiveness of mindfulness meditation-based interventions (MMBIs) in reducing burnout among healthcare workers, a systematic review and meta-analysis was done.

Two investigators searched records in CENTRAL, PubMed/MEDLINE, Google Scholar, Preprints, Grey Literature, and cross-referencing to acquire articles using search terms related to “mindfulness meditation”, “healthcare workers”, and “burnout”. Inclusion criteria included randomized controlled trials (RCTs) and nonrandomized controlled trials (NRTs) that assessed the effectiveness of MMBIs on burnout as measured by the Maslach Burnout Inventory (MBI) among healthcare workers in the hospital setting. Study selection, data extraction, risk of bias assessment were done by the investigators independently. Analysis was done using RevMan 5 software, forest plots were generated, and subgroup analyses were done.

Of 25,453 identified records, 28 studies were included. The studies were rated with low to unclear selection bias and high risk of performance bias. MMBIs were associated with significant reduction on the emotional exhaustion, depersonalization and personal accomplishment subscales with pooled mean differences of -2.60 (95% CI = -3.64, -1.55), -0.51 (95% CI = -0.77, -0.26), and 0.82 (95% CI = 0.24, 1.39), respectively. On subgroup analyses, the types of MMBI implemented had no influence in the intervention effect noted on all subscales among RCTs but had significant influence among NRTs. Reduction of burnout was noted to be higher in nurses compared with physicians and mixed healthcare workers. Overall quality of evidence for RCTs was low to moderate and very low to low for NRTs.

The results suggest that MMBIs can reduce the burnout symptoms of healthcare workers. To address the high risk of bias of included studies and improve quality of evidence, future research should be done with high-quality RCTs.