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Development of Theory of Uncertainty on COVID-19: Theory Derivation Based on Uncertainty in Illness Theory
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Cho Ryok Kang, Sook Ja Yang
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Res Community Public Health Nurs. 2024;35(3):272-283. Published online September 30, 2024
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DOI: https://doi.org/10.12799/rcphn.2024.00577
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 Abstract
 PDF Supplementary Material
- 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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