Mindfulness-based interventions for psychological and physical health outcomes in cancer patients and survivors: A systematic review and meta-analysis of randomized controlled trials

Objective Mindfulness-based interventions (MBIs) are increasingly used within psycho-oncology. Since the publication of the most recent comprehensive meta-analysis on MBIs in cancer in 2012, the number of published trials has more than doubled. We therefore conducted a systematic review and meta-analysis of randomized controlled trials (RCTs), testing the efficacy of MBIs on measures of psychological distress (primary outcome) and other health outcomes in cancer patients and survivors. Methods Two authors conducted independent literature searches in electronic databases from first available date to 10 October 2018, selected eligible studies, extracted data for meta-analysis, and evaluated risk of bias. Results Twenty-nine independent RCTs (reported in 38 papers) with 3274 participants were included. Small and statistically significant pooled effects of MBIs on combined measures of psychological distress were found at post-intervention (Hedges's g = 0.32; 95%CI: 0.22-0.41; P < .001) and follow-up (g = 0.19; 95%CI: 0.07-0.30; P < .002). Statistically significant effects were also found at either post-intervention or follow-up for a range of self-reported secondary outcomes, including anxiety, depression, fear of cancer recurrence, fatigue, sleep disturbances, and pain (g: 0.20 to 0.51; p: <.001 to.047). Larger effects of MBIs on psychological distress were found in studies (a) adhering to the original MBI manuals, (b) with younger patients, (c) with passive control conditions, and (d) shorter time to follow-up. Improvements in mindfulness skills were associated with greater reductions in psychological distress at post-intervention. Conclusions MBIs appear efficacious in reducing psychological distress and other symptoms in cancer patients and survivors. However, many of the effects were of small magnitude, suggesting a need for intervention optimization research.