Jose Mariya Lipsa, Eslavath Rajkumar, Aswathy Gopi, John Romate
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The risk of bias in studies was evaluated using Joanna Briggs Institute (JBI) checklists and the National Heart, Lung, and Blood Institute quality assessment tool.</p><p><strong>Results: </strong>Of the 1995 records identified from databases, 82 intervention studies were included in the systematic review, and 11 randomized controlled trials were chosen for meta-analysis. Post-intervention means and SDs of the intervention group and the control group were used to run the meta-analysis. Random effects meta-analysis results revealed that PIs are highly effective in reducing CF (standardized mean difference (SMD) = -0.95; 95% CI, -1.63 to -0.27; P = .006).</p><p><strong>Conclusion: </strong>Evidence suggests that PIs, especially online-delivered PIs, could reduce the CF of helping professionals. Health policymakers, concerned authorities, and intervention designers should focus on reducing the CF of helping professionals, as they need to work with vulnerable populations efficiently.</p>","PeriodicalId":16632,"journal":{"name":"Journal of Occupational Health","volume":" ","pages":""},"PeriodicalIF":2.6000,"publicationDate":"2024-01-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11543797/pdf/","citationCount":"0","resultStr":"{\"title\":\"Effectiveness of psychological interventions for compassion fatigue: a systematic review and meta-analysis.\",\"authors\":\"Jose Mariya Lipsa, Eslavath Rajkumar, Aswathy Gopi, John Romate\",\"doi\":\"10.1093/joccuh/uiae061\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><strong>Objectives: </strong>Constant exposure to trauma and death adversely affects the physical, emotional, and mental stability of the helping professionals, leading to compassion fatigue (CF). Although research has explored the effect of various psychological interventions (PIs) on CF, no studies have quantitatively synthesized their effectiveness. Thus, the current systematic review and meta-analysis address this gap by examining the efficacy of PIs in reducing CF among helping professionals.</p><p><strong>Methods: </strong>Databases such as Scopus, Web of Science, PubMed, JSTOR, ScienceDirect, and Google Scholar were searched to identify studies published between 2004 and 2023. Quantitative studies published in English that used any PI to reduce CF of helping professionals were selected for analysis. The risk of bias in studies was evaluated using Joanna Briggs Institute (JBI) checklists and the National Heart, Lung, and Blood Institute quality assessment tool.</p><p><strong>Results: </strong>Of the 1995 records identified from databases, 82 intervention studies were included in the systematic review, and 11 randomized controlled trials were chosen for meta-analysis. 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引用次数: 0
摘要
目的:持续面对创伤和死亡会对助人专业人员的身体、情绪和心理稳定性产生不利影响,从而导致同情疲劳(CF)。尽管有足够的研究探讨了各种心理干预(PIs)对同情疲劳的影响,但没有研究对其有效性进行定量综合。因此,本系统综述和荟萃分析通过研究 PI 对减少助人专业人员同情心疲劳的有效性,弥补了这一空白:方法:检索 Scopus、Web of Science、PubMed、JSTOR、ScienceDirect 和 Google Scholar 等数据库,以确定 2004 年至 2023 年间发表的研究。筛选出使用任何 PI 来减少助人专业人员 CF 的英语发表的定量研究进行分析。使用 JBI 检查表和美国国家心肺血液研究所(NHLBI)质量评估工具对研究的偏倚风险进行了评估:在从数据库中找到的 1995 条记录中,有 82 项干预研究被纳入系统综述,并选择了 11 项随机对照试验 (RCT) 进行荟萃分析。荟萃分析采用了干预组和对照组干预后的平均值和标准差。随机效应荟萃分析结果显示,PIs 对减少 CF 非常有效(SMD = -0.95; CI = -1.63 to -0.27,p = 0.006):有证据表明,PIs(尤其是在线提供的 PIs)可以减少助人专业人员的 CF。卫生政策制定者、相关机构和干预措施设计者应关注降低助人专业人员的CF,因为他们需要有效地与弱势群体打交道。
Effectiveness of psychological interventions for compassion fatigue: a systematic review and meta-analysis.
Objectives: Constant exposure to trauma and death adversely affects the physical, emotional, and mental stability of the helping professionals, leading to compassion fatigue (CF). Although research has explored the effect of various psychological interventions (PIs) on CF, no studies have quantitatively synthesized their effectiveness. Thus, the current systematic review and meta-analysis address this gap by examining the efficacy of PIs in reducing CF among helping professionals.
Methods: Databases such as Scopus, Web of Science, PubMed, JSTOR, ScienceDirect, and Google Scholar were searched to identify studies published between 2004 and 2023. Quantitative studies published in English that used any PI to reduce CF of helping professionals were selected for analysis. The risk of bias in studies was evaluated using Joanna Briggs Institute (JBI) checklists and the National Heart, Lung, and Blood Institute quality assessment tool.
Results: Of the 1995 records identified from databases, 82 intervention studies were included in the systematic review, and 11 randomized controlled trials were chosen for meta-analysis. Post-intervention means and SDs of the intervention group and the control group were used to run the meta-analysis. Random effects meta-analysis results revealed that PIs are highly effective in reducing CF (standardized mean difference (SMD) = -0.95; 95% CI, -1.63 to -0.27; P = .006).
Conclusion: Evidence suggests that PIs, especially online-delivered PIs, could reduce the CF of helping professionals. Health policymakers, concerned authorities, and intervention designers should focus on reducing the CF of helping professionals, as they need to work with vulnerable populations efficiently.
期刊介绍:
The scope of the journal is broad, covering toxicology, ergonomics, psychosocial factors and other relevant health issues of workers, with special emphasis on the current developments in occupational health. The JOH also accepts various methodologies that are relevant to investigation of occupational health risk factors and exposures, such as large-scale epidemiological studies, human studies employing biological techniques and fundamental experiments on animals, and also welcomes submissions concerning occupational health practices and related issues.