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The Measurement of Uncertainty in Illness

Authors: Merle H. Mishel;

The Measurement of Uncertainty in Illness

Abstract

The purpose of this investigation was to explore the role of uncertainty as a significant variable influencing patients' experiences in illness, treatment, and hospitalization. A theory was proposed on uncertainty in illness. Based upon this conceptualization, a 30-item scale tapping the uncertainty in symptomatology, diagnosis, treatment, relationship with care-givers, and planning for the future was developed. The Mishel Uncertainty in Illness Scale (MUIS) was factor analyzed and two factors were extracted from the data. Replication of the factor analysis provided support for the robustness of each factor. The reliability coefficient for each factor of the MUIS was highly adequate for both the initial and replication analyses. Three validation studies were conducted. Initial support for construct validity of the scale was demonstrated by the finding that the MUIS discriminates between treatment groups according to expected differences. Support for theoretical predictions was evidenced by the significant correlation between the MUIS and stress as measured by the Hospital Stress Events Scale. Convergent validity was supported by the finding that the MUIS correlates significantly with lack of comprehension.

Keywords

Inpatients, Psychological Tests, Patients, Statistics as Topic, Humans, Anxiety, Models, Psychological, Factor Analysis, Statistical

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Found an issue? Give us feedback
citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
644
Top 0.1%
Top 0.1%
Top 10%
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