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Development and Validation of Structured COVID Perception Interview Guide (COPING) for Assessing the Acute Impact of COVID-19 Diagnosis
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 immediate...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Thieme Medical and Scientific Publishers Pvt. Ltd.
2022
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9187395/ https://www.ncbi.nlm.nih.gov/pubmed/35694061 http://dx.doi.org/10.1055/s-0041-1742232 |
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author | Sutar, Roshan Lahiri, Anuja Singh, Gaurav Chaudhary, Swanzil |
author_facet | Sutar, Roshan Lahiri, Anuja Singh, Gaurav Chaudhary, Swanzil |
author_sort | Sutar, Roshan |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-9187395 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Thieme Medical and Scientific Publishers Pvt. Ltd. |
record_format | MEDLINE/PubMed |
spelling | pubmed-91873952022-06-11 Development and Validation of Structured COVID Perception Interview Guide (COPING) for Assessing the Acute Impact of COVID-19 Diagnosis Sutar, Roshan Lahiri, Anuja Singh, Gaurav Chaudhary, Swanzil J Neurosci Rural Pract 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. Thieme Medical and Scientific Publishers Pvt. Ltd. 2022-02-18 /pmc/articles/PMC9187395/ /pubmed/35694061 http://dx.doi.org/10.1055/s-0041-1742232 Text en Association for Helping Neurosurgical Sick People. This is an open access article published by Thieme under the terms of the Creative Commons Attribution-NonDerivative-NonCommercial License, permitting copying and reproduction so long as the original work is given appropriate credit. Contents may not be used for commercial purposes, or adapted, remixed, transformed or built upon. ( https://creativecommons.org/licenses/by-nc-nd/4.0/ ) https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution-NonCommercial-NoDerivatives License, which permits unrestricted reproduction and distribution, for non-commercial purposes only; and use and reproduction, but not distribution, of adapted material for non-commercial purposes only, provided the original work is properly cited. |
spellingShingle | Sutar, Roshan Lahiri, Anuja Singh, Gaurav Chaudhary, Swanzil Development and Validation of Structured COVID Perception Interview Guide (COPING) for Assessing the Acute Impact of COVID-19 Diagnosis |
title | Development and Validation of Structured COVID Perception Interview Guide (COPING) for Assessing the Acute Impact of COVID-19 Diagnosis |
title_full | Development and Validation of Structured COVID Perception Interview Guide (COPING) for Assessing the Acute Impact of COVID-19 Diagnosis |
title_fullStr | Development and Validation of Structured COVID Perception Interview Guide (COPING) for Assessing the Acute Impact of COVID-19 Diagnosis |
title_full_unstemmed | Development and Validation of Structured COVID Perception Interview Guide (COPING) for Assessing the Acute Impact of COVID-19 Diagnosis |
title_short | Development and Validation of Structured COVID Perception Interview Guide (COPING) for Assessing the Acute Impact of COVID-19 Diagnosis |
title_sort | development and validation of structured covid perception interview guide (coping) for assessing the acute impact of covid-19 diagnosis |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9187395/ https://www.ncbi.nlm.nih.gov/pubmed/35694061 http://dx.doi.org/10.1055/s-0041-1742232 |
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