同情疲劳Perawat di Masa大流行COVID-19

Christian Ratna Sulistyo, M. Simanjuntak, Juniarta Juniarta, Edson Kasenda
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摘要

同情疲劳通常被解释为卫生工作者在照顾病人时反复给予的压倒性同理心的结果。同情疲劳可能发生在每个工作单位或每个国家。大流行局势使卫生工作者,特别是与患者直接接触的护士,面临感染、危机、恐惧和抑郁的高风险。本研究的目的是采用描述性定量方法描述坦格朗县COVID-19大流行期间护士的同情疲劳。采用方便抽样方法,获得320名护士。本研究采用印尼版的职业生活质量(ProQoL)同情疲劳问卷来测量职业倦怠(Cronbach Alpha 0.7)和继发性创伤应激(Cronbach Alpha 0.749)。研究结果发现,有227名护士(70.9%)经历了高度同情疲劳,294名护士(91.9%)经历了中度倦怠,276名护士(86.3%)经历了中度创伤应激。鉴于COVID-19大流行导致的高度同情疲劳,希望卫生服务提供者能够为相关卫生工作者,特别是直接处理COVID-19患者的护士的情绪健康提供持续支持。此外,可以使用广泛的人群进行进一步的研究。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Compassion Fatigue Perawat di Masa Pandemi COVID-19 [Nurses' Compassion Fatigue during the COVID-19 Pandemic]
Compassion fatigue is often interpreted as a consequence of the overwhelming sense of empathy given by health workers repeatedly while caring for patients. Compassion fatigue can occur in each work unit or in each country. The pandemic situation is causing health workers, especially nurses who have direct contact with patients, experience a high risk of infection, crisis, fear and depression. The purpose of this study was to describe nurses compassion fatigue during COVID-19 pandemic in Tangerang using a descriptive quantitative methods. Convenience sampling technique was used, obtaining 320 nurses. The instrument used was the Indonesian version of compassion fatigue questionnaire that was adopted from the Professional Quality of Life (ProQoL) questionnaire to measure burnout (Cronbach Alpha 0.7) and secondary trauma stress (Cronbach Alpha 0.749). The result of this study found that 227 (70.9%) nurses experienced high compassion fatigue), with 294 (91.9%) nurses moderately experienced burnout and 276 (86,3%) nurses moderately experienced secondary trauma stress. Given the high level of compassion fatigue that has occurred as a result of the COVID-19 pandemic, it is hoped that health service providers can provide ongoing support for the emotional well-being of health workers involved especially nurses directly handle COVID-19 patients. In addition, futher research can be carried out using a broad population.
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