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Finding more meaning: the antecedents of uncertainty revisited
Author(s) -
Wallace Meredith
Publication year - 2005
Publication title -
journal of clinical nursing
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.94
H-Index - 102
eISSN - 1365-2702
pISSN - 0962-1067
DOI - 10.1111/j.1365-2702.2005.01138.x
Subject(s) - meaning (existential) , psychology , medline , epistemology , social psychology , nursing , medicine , psychotherapist , philosophy , political science , law
Aims and objectives. The objective of this study was to explore the extent to which several antecedents explained the uncertainty of men who were undergoing the watchful waiting management option for prostate cancer. Background. Uncertainty plays a significant role in explaining various outcomes in the chronically ill. However, little is known about the factors that accompany and modify uncertainty. For uncertainty to predict the outcomes of individuals coping with illness, it is imperative to understand its accompanying antecedents. Design. The study used a correlational single group non‐experimental design. Methods. The convenience sample completed a one‐time mailed questionnaire aimed at measuring the antecedents of uncertainty. Results. A total of 19 participants completed questionnaires. The results revealed significant relationships between level of education and length of time with illness and uncertainty. Stepwise multiple regression indicated that education explained 52% of the variance in uncertainty. Conclusions. This study strengthens the relationship between both education and length of time with illness, and uncertainty. It further supports the Uncertainty in Illness Model and enhances the understanding of the factors that influence uncertainty in the sample. Relevance to clinical practice. This study assisted in the identification of factors that influence uncertainty in men undergoing the watchful waiting management option for prostate cancer. Future study should examine the role of antecedents in explaining uncertainty in additional populations and using alternative measures, when necessary.