Abstract
Goals of work: No culturally relevant instrument exists to assess the impact of cancer on patients in Taiwan. Therefore, this two-phase study was undertaken to (1) develop a Chinese version of the Impact of Event Scale (IES), (2) examine its psychometric properties, and (3) use the IES-Chinese version (IES-C) to assess the impact of cancer in newly diagnosed oral cancer patients in Taiwan. Patients and methods: The psychometric properties of the 15-item IES-C were tested in 106 newly diagnosed oral cancer patients and analyzed by descriptive statistics, test-retest reliability, Pearson's correlation, and principal component analysis. Main results: The results showed that (1) the IES-C has satisfactory content validity and feasibility; (2) overall internal consistency (Cronbach's alpha) was 0.91 with values of 0.91 and 0.81 for intrusion and avoidance, respectively; (3) overall test-retest reliability (3-day interval) was 0.97; (4) two clearly identified factors explained 55.97% of the variance; (5) satisfactory construct validity was supported by both factor analysis and theoretically supported correlation analysis (significant correlations between the total IES-C and its subscales as well as anxiety and depression); and (6) oral cancer patients had relatively higher IES-C scores than previously reported. Conclusions: These results support the IES-C as an instrument with satisfactory psychometric properties and ease of use in clinical settings. They also suggest that more attention should be paid to the impact on patients of a new diagnosis of oral cancer. Further testing of the IES-C in different cancer populations is suggested to validate its psychometric properties.
Original language | English |
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Pages (from-to) | 485-492 |
Number of pages | 8 |
Journal | Supportive Care in Cancer |
Volume | 13 |
Issue number | 7 |
DOIs | |
Publication status | Published - Jul 2005 |
Keywords
- Avoidance
- Impact of Event Scale
- Intrusion
- Oral cancer
- Psychometrics
- Reliability
- Validity
ASJC Scopus subject areas
- Oncology