Chandu Viswa Chaitanya, Lingamaneni Krishna Prasad, Baddam Venkat Ramana Reddy, Pachava Srinivas, Marella Yamuna, Bommireddy Vikram Simha
Department of Public Health Dentistry, Government Dental College and Hospital, Vijayawada, Andhra Pradesh, India.
Department of Oral and Maxillofacial Surgery, SIBAR Institute of Dental Sciences, Takkellapadu, Guntur, India.
Ind Psychiatry J. 2021 Jul-Dec;30(2):240-248. doi: 10.4103/ipj.ipj_71_21. Epub 2021 Sep 24.
It is beyond doubt that the health care systems across the globe have been experiencing burdens of unprecedented magnitude in the coronavirus disease (COVID-19) era. However, no psychometric tools were validated in India to assess the impact of COVID-19 on the psychological well-being exclusively among health care workers, given their obvious risk for exposure.
This study was conducted to develop the first of its kind psychometric tool that measures the psychological burden posed by COVID-19 on Indian health care workers.
One hundred and sixty-nine health care workers attending COVID-19 duties in four different states of India took part in the study. The initial scale designed was tested for face and content validity. Exploratory factor analysis using direct oblimin rotation with Kaiser normalization was employed to determine the factor structure. Differential item functioning (DIF) analysis with ordinal regression based on the type of COVID-19 facility at which the participant is serving, educational background was done for identification of item bias.
COVID-19 Psychological Burden Scale for Indian Health Care Workers (CPBS-IHCW), with 17 items loaded on four components, demonstrated good internal consistency reliability (Cronbach's Alpha 0.873). DIF revealed no item bias based on type of facility and educational background. Significant differences in CPBS-IHCW scores were noted between health care workers serving at different COVID-19 facilities and belonging to different educational backgrounds.
CPBS-IHCW is a 17-item, rapidly administrable scale, demonstrating good internal consistency reliability, and temporal stability, which can be used in the assessment of psychological burden among health care professionals catering to the needs of the COVID-19 affected.
毫无疑问,在冠状病毒病(COVID-19)时代,全球医疗保健系统都承受着前所未有的巨大负担。然而,鉴于印度医护人员明显的暴露风险,在印度尚未有经过验证的心理测量工具专门用于评估COVID-19对其心理健康的影响。
本研究旨在开发首个测量COVID-19给印度医护人员带来的心理负担的心理测量工具。
来自印度四个不同邦参与COVID-19救治工作的169名医护人员参与了本研究。对最初设计的量表进行了表面效度和内容效度测试。采用基于凯泽标准化的直接斜交旋转进行探索性因素分析以确定因素结构。基于参与者所在的COVID-19医疗机构类型和教育背景,通过有序回归进行差异项目功能(DIF)分析以识别项目偏差。
印度医护人员COVID-19心理负担量表(CPBS-IHCW)有17个项目,分为四个分量表,显示出良好的内部一致性信度(克朗巴哈α系数为0.873)。DIF分析表明,基于医疗机构类型和教育背景不存在项目偏差。在不同COVID-19医疗机构工作且教育背景不同的医护人员之间,CPBS-IHCW得分存在显著差异。
CPBS-IHCW是一个包含17个项目、可快速施测的量表,具有良好的内部一致性信度和时间稳定性,可用于评估为COVID-19患者提供服务的医护人员的心理负担。