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      Revised Chinese Version of Mishel Uncertainty in Illness Scale: Development, Reliability and Validity

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          Abstract

          Objective: To develop the Revised Chinese Version of Mishel Uncertainty in Illness Scale (RC-MUIS), and test its reliability and validity in a sample of Chinese patients with cancer.

          Methods: The original MUIS was translated into Chinese and revised, then the initial RC-MUIS was developed. Then, the psychometric properties of the initial RC-MUIS were tested in 550 conveniently sampled patients with cancer who received treatment from the First Affiliated Hospital of Guangzhou University of Chinese Medicine, Sun Yat-sen University Cancer Center, Guangdong Provincial Hospital of Chinese Medicine from July 2015 to April 2016. The participants were also surveyed by a self-developed Baseline Characteristics Questionnaire, Chinese version of Zung Self-Rating Anxiety Scale (C-SAS), Chinese version of Zung Self-Rating Depression Scale (C-SDS), and Chinese version of Strategies Used by People to Promote Health (C-SUPPH) for testing the convergent validity of the initial RC-MUIS. Two weeks later, the initial RC-MUIS was re-tested in 50 patients randomly selected from the responsive participants (totaled 470) in the first test by an Excel-based program. After that, we conducted item analysis, reliability and validity assessment of the initial RC-MUIS, then developed the final RC-MUIS, and determined its cutoff value.

          Results: The final RC-MUIS includes three factors (ambiguity, lack of clarity and unpredictability) covering 20 items, which were extracted by factor analysis, explaining 57.23% of the total variance. The CVI of items ranged from 0.73-1.00. KMO=0.810 and Bartlett’s χ 2=871.55, P<0.001. Confirmatory factor analysis showed root mean square error of approximation (RMSEA)=0.037, comparative fit index (CFI)=0.905, goodness-of-fit index (GFI)=0.936, adjusted goodness-of-fit index (AGFI)= 0.911, standardized root mean square residual (SRMR)=0.052. RC-MUIS and its factors were positively associated with C-SAS and C-SDS and their corresponding factors in terms of score (P<0.05), but were negatively associated with C-SUPPH and its factors (P<0.05). The Cronbach’s α and test-retest reliability of RC-MUIS was 0.825 and 0.836, respectively. The cut-off value, sensitivity and specificity of RC-MUIS was 60.5, 0.715 and 0.759, respectively.

          Conclusion: The RC-MUIS, being reliable, valid and easy to use, is suitable to be adapted by clinical settings as a screening tool to recognize Chinese cancer patients with high-risk psychological problems.

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          Author and article information

          Journal
          CGP
          Chinese General Practice
          Compuscript (Ireland )
          1007-9572
          20 March 2018
          20 March 2018
          : 21
          : 9
          Affiliations
          [1] 1Guangzhou University of Chinese Medicine, Guangzhou 510405, China
          [2] 2Sun Yat-sen University Cancer Center, Guangzhou 510060, China
          [3] 3Guangdong Academy of Population Development, Guangzhou 510600, China
          [4] 4Yale University, New Haven 06520, America
          Author notes
          Corresponding author: QIU Hong-zhong, Professor, Doctoral supervisor; E-mail: hzqiu@ 123456163.com
          Article
          j.issn.1007-9572.2018.00.068
          10.3969/j.issn.1007-9572.2018.00.068
          5a61f4d9-4db3-4237-8528-e08b667e237e
          © 2018 Chinese General Practice

          This is an open-access article distributed under the terms of the Creative Commons Attribution 4.0 Unported License (CC BY-NC 4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. See https://creativecommons.org/licenses/by-nc/4.0/.

          History
          Categories
          Abstract

          Endocrinology & Diabetes,General medicine,Occupational & Environmental medicine,Internal medicine,Health & Social care
          Uncertainty in illness,Validity,Neoplasms,Reliability

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