Development of Theory of Uncertainty on COVID-19: Theory Derivation Based on Uncertainty in Illness Theory

Purpose: The purpose of this study is to develop the Theory of Uncertainty on COVID-19 using the strategy of theory derivation. Methods: Theory derivation was carried out in the following steps: review the literature to explore the phenomena related to uncertainty on COVID-19; select a parent theory that provides valuable concepts and a useful structure for derivation, and identify the concepts and structure of the parent theory to use in derivation; modify and redefine the concepts and structure of the parent theory to create a derived theory. In the literature review process, relevant findings were synthesized to support the propositions of the derived theory. Results: The Theory of Uncertainty on COVID-19 was derived from the Uncertainty in Illness Theory to make it relevant and applicable to a specific aspect of uncertainty on COVID-19, health-related uncertainty perceived by a person who has not contracted COVID-19. It is a middle-range theory targeting the general population and consists of a linear and unidirectional model centered on three themes: antecedents of uncertainty, appraisal of uncertainty, and coping with uncertainty. Conclusion: The Theory of Uncertainty on COVID-19 will be able to contribute to efforts to manage perceived uncertainty on pandemic diseases and improve individual biopsychosocial health in the future.

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Publication Details

Journal
Research in Community and Public Health Nursing
Published
2024-09-30
DOI
https://doi.org/10.12799/rcphn.2024.00577
Primary Topic
Disaster Response and Management
Type
article
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article

Development of Theory of Uncertainty on COVID-19: Theory Derivation Based on Uncertainty in Illness Theory

Cho Ryok Kang, Sook Ja Yang
Research in Community and Public Health Nursing
Disaster Response and Management
article

Development of Theory of Uncertainty on COVID-19: Theory Derivation Based on Uncertainty in Illness Theory

Cho Ryok Kang, Sook Ja Yang
article en

Abstract

Purpose: The purpose of this study is to develop the Theory of Uncertainty on COVID-19 using the strategy of theory derivation. Methods: Theory derivation was carried out in the following steps: review the literature to explore the phenomena related to uncertainty on COVID-19; select a parent theory that provides valuable concepts and a useful structure for derivation, and identify the concepts and structure of the parent theory to use in derivation; modify and redefine the concepts and structure of the parent theory to create a derived theory. In the literature review process, relevant findings were synthesized to support the propositions of the derived theory. Results: The Theory of Uncertainty on COVID-19 was derived from the Uncertainty in Illness Theory to make it relevant and applicable to a specific aspect of uncertainty on COVID-19, health-related uncertainty perceived by a person who has not contracted COVID-19. It is a middle-range theory targeting the general population and consists of a linear and unidirectional model centered on three themes: antecedents of uncertainty, appraisal of uncertainty, and coping with uncertainty. Conclusion: The Theory of Uncertainty on COVID-19 will be able to contribute to efforts to manage perceived uncertainty on pandemic diseases and improve individual biopsychosocial health in the future.

Research in Community and Public Health NursingVol. 35
Openalex Percentile: Top 71%
Disaster Response and Management
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Development of Theory of Uncertainty on COVID-19: Theory Derivation Based on Uncertainty in Illness Theory — Cho Ryok Kang, Sook Ja Yang · Research in Community and Public Health Nursing (2024) | TGRS Research Map | TGRS