Department of Liberal Arts, Indian Institute of Technology Bhilai, Durg, Chhattisgarh, 491002, India.
Department of Psychology, SRM University AP-Amaravati, Mangalagiri, Andhra Pradesh, 522240, India.
J Occup Health. 2024 Jan 4;66(1). doi: 10.1093/joccuh/uiae061.
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.
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.
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).
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.
持续接触创伤和死亡会对帮助专业人员的身体、情绪和心理稳定产生不利影响,导致同情疲劳(CF)。尽管研究已经探讨了各种心理干预(PI)对 CF 的影响,但没有研究对其效果进行定量综合。因此,目前的系统评价和荟萃分析通过检查 PI 减少帮助专业人员 CF 的效果来填补这一空白。
在 Scopus、Web of Science、PubMed、JSTOR、ScienceDirect 和 Google Scholar 等数据库中搜索,以确定 2004 年至 2023 年期间发表的研究。选择使用任何 PI 来减少帮助专业人员 CF 的发表在英语中的定量研究进行分析。使用 Joanna Briggs Institute(JBI)检查表和美国国立心肺血液研究所质量评估工具评估研究的偏倚风险。
从数据库中确定的 1995 条记录中,有 82 项干预研究被纳入系统评价,有 11 项随机对照试验被选入荟萃分析。干预组和对照组的干预后平均值和标准差用于进行荟萃分析。随机效应荟萃分析结果表明,PI 非常有效地降低 CF(标准化均数差(SMD)=-0.95;95%置信区间,-1.63 至-0.27;P=0.006)。
有证据表明,PI,特别是在线提供的 PI,可以降低帮助专业人员的 CF。卫生政策制定者、有关当局和干预设计者应关注减少帮助专业人员的 CF,因为他们需要有效地与弱势群体合作。