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Cited by 1,036

The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.

Reconceptualization of the Uncertainty in Illness Theory

Mishel, Merle H.·1990·Image: the Journal of Nursing Scholarship

Abstract

The theory of uncertainty in illness has its strongest support among subjects who are experiencing the acute phase of illness or are in a downward illness trajectory (Mishel, 1988a). The theory has not addressed the experience of living with continual, constant uncertainty in either a chronic illness or in an illness with a treatable acute phase and possible eventual recurrence. Since uncertainty characterizes many, most prevalent, long‐term illness conditions, there is a need to reconceptualize the theory of uncertainty to include the experience of living with continual uncertainty. A close examination of the theoretical statements and the empirical data reported by Mishel resulted in the identification of areas of the theory that could be expanded and reconceptualized. The reconceptualization effort was primarily fueled by questions about the outcome portion of the uncertainty theory. To provide a contest for the expansion and reconceptualization of uncertainty, applicable parts of the theory are summarized below.

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Crossref · 10.1111/j.1547-5069.1990.tb00225.x

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Metadata

Authors
Mishel, M. H.
Venue
Image: the Journal of Nursing Scholarship
Publisher
Wiley
Published
1990-12
Volume
22
Issue
4
Pages
256-262
ISSN
  • 0363-2792 (ISSN-L)
  • 0743-5150
OpenAlex
W2136322570
Cited by
1,036
References
2
FWCI
1.58
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Reconceptualization of the Uncertainty in Illness Theory. https://app.cochat.ai/papers/10.1111/j.1547-5069.1990.tb00225.x
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Mishel, M. H. (1990). Reconceptualization of the Uncertainty in Illness Theory. Image: the Journal of Nursing Scholarship. https://doi.org/10.1111/j.1547-5069.1990.tb00225.x

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.