The effectiveness of compassion-based interventions among cancer patients: A systematic review and meta-analysis
| Autor: | Ya-Chi Fan, Fei-Hsiu Hsiao, Chia-Chen Hsieh |
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| Rok vydání: | 2022 |
| Předmět: | |
| Zdroj: | Palliativesupportive care. |
| ISSN: | 1478-9523 1478-9515 |
| Popis: | ObjectivesThis study examined the effects of compassion-based intervention on mental health in cancer patients by using systematic review and meta-analysis of randomized controlled trials (RCTs).MethodsEleven bibliographic databases were searched from their earliest data available date up to March 1, 2022. The databases were PubMed, CINAHL, MEDLINE, PsycINFO, WOS, Cochrane, Embase, Scopus, ProQuest Dissertations, Airiti Library, and the National Digital Library of Theses and Dissertations in Taiwan.ResultsTen studies from 2015 to 2021 were included with a total of 771 cancer patients. Most were targeted at women with breast cancer. Brief compassion-based interventions of approximately 30 minutes were conducted by audio file, paper, and web-based self-guided writing prompts. Most were conducted after the completion of active treatment. Anxiety was the most measured outcome. Constructive compassion-based interventions with 4- to 12-week sessions were conducted by a trained facilitator. Most were conducted for patients who had undergone treatment, and depression was the most measured outcome. The meta-analysis indicated that compassion-based interventions had a significant effect of reducing depression and increasing self-compassion. Moderation analysis indicated that constructive intervention showed more benefits of increased self-compassion than brief intervention. Both face-to-face and non-face-to-face web-delivered formats had benefits for increasing self-compassion compared with the control condition.Significance of resultsCompassion-based interventions might provide an effective strategy for improving self-compassion and depression among patients with breast cancer. Suggestions for further research and health-care providers follow. |
| Databáze: | OpenAIRE |
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