Development and Validation of Structured COVID Perception Interview Guide (COPING) for Assessing the Acute Impact of COVID-19 Diagnosis

开发和验证结构化新冠肺炎认知访谈指南(COPING),用于评估新冠肺炎诊断的急性影响

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Abstract

Objective  Structured COVID Perception INterview Guide (COPING) is a novel tool developed to understand the acute impact after receiving the diagnosis of coronavirus disease 2019 (COVID-19) in the Indian setting. The approach carries importance for interviewing patients in a state of shock immediately after receiving the diagnosis of COVID. The tool is developed emphasizing the grief, stigma, and acute psychological perception in the immediate aftermath of receiving the positive test results of COVID-19. Since COVID-19 is characteristically different from other infectious illnesses, a structured interview guide could help to address the concerns related to acute loss of health. Materials and Methods  This study follows a mixed method design conducted from August 2020 to January 2021. In-depth telephonic interviews with mild to moderate COVID patients admitted to a tertiary hospital in central India was followed by development of COPING questionnaire. Statistical Analysis Item-Content Validity Index (I-CVI) and Scale-Content Validity Index Universal Agreement (S-CVI/UA) was computed. Factor analysis, Bartlett's test, and Kaiser-Meier-Olkin measure of sampling adequacy was performed. Principal component analysis, scree plots, and parallel analysis with varimax rotation was used to determine the number of factors to extract. For measuring internal consistency, Cronbach's α was computed. Results  Out of 40 items, the final tool had 15 items after computing content validity, performing factor analysis and achieving desired level of internal consistency (Cronbach's α  = 0.702). Five domains identified after factor analysis were awareness, grief/bereavement, stigma, social reciprocity, and stress adaptation/coping. Conclusion  COPING is a valid and reliable interview guide for Indian setting that will allow the assessment of perception of patients with acute COVID-19 infection. Taking into consideration the mental health implications of COVID-19, the availability of such a validated and reliable tool is a timely step to address the public health problem and assist the ongoing research on COVID-19 and similar illnesses in the future.

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