| Summary: | 碩士 === 國立臺灣大學 === 護理學研究所 === 96 === The purpose of this study was to examine the usefulness of the Mishel’s Uncertainty in Illness Scale – Adult form (MUIS-A) by conducting item analysis, testing validity and reliability of the scale.
The data were collected by conducting questionnaire survey with 110 subjects purposively sampled who were admitted to coronary care unit at a university hospital in Taipei. We tested content validity, construct validity, criterion-related validity, discriminate validity and internal consistency.
The MUIS-A consisted of four factors: 13 items for ambiguity, 7 items for complexity, 7 items for inconsistency, and 5 items for unpredictability. We revised and established the reliability and validity of the Chinese version of this scale, and found the relationship between demographic factors, disease attributes and uncertainty of illness in acute myocardial infarction patients.
The results showed that :
1.Content validity was supported by revealing .96 of content validity index.
2.The internal consistency (Cronbach’s α) of the MUIS-A was .894, and that of the ambiguity was .837,the complexity was .622, the inconsistency was .275, and the unpredictability was .683. 10 items were deleted after conducting item analysis.
3.Exploratory factor analysis revealed two factors : ambiguity and complexity, which could explain 34.17% of the variance.
4.The Cronbach’s α of the MUIS-A was .896, and that of the ambiguity was .891,the complexity was .796. It revealed better reliability after revising the MUIS-A.
5.We used State Anxiety Scale as the criterion-related validity tool. The Chinese version of MUIS-A had significant correlations with State Anxiety Scale ( r = .496, p < .01). The criterion-related validity was better then that of un-revised MUIS-A ( r = .492, p < .01).
6.Discriminate validity was supported by revealing significant difference between acute myocardial infarction and chronic hypertension patients( t = 24.688, p < .05). Compared with MUIS-A before revising ( t = 18.071, p < .05), it had better discriminate validity.
7.Acute myocardial infarction patients experienced moderate to high uncertainty in coronary care unit. The uncertainty sources from ambiguity was more then that from complexity.
8.T test and ANOVA revealed that significantly correlative factors of uncertainty in acute myocardial infarction patients were age, gender, years of education, complications and days stayed in hospital. Multiple regression model revealed that the best factors of predicting uncertainty in acute myocardial infarction patients were years of education, gender, complications and age. This model explained 55.2% of variance.
The study showed that the revised Chinese version of MUIS-A was an acceptable instrument to measure uncertainty after deleting ten items from the MUIS-A. The results could also contribute to evaluation of uncertainty in coronary care unit, and suggest nurses to develop systematic nursing instructions to decrease the uncertainty of acute myocardial infarction patients.
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