Dataset Information

Development and Evaluation of a Korean Version of a Thyroid-Specific Quality-of-Life Questionnaire Scale in Thyroid Cancer Patients.

ABSTRACT:

Purpose

The purpose of this study was to develop a Korean version of the self-reported thyroid-specific quality of life (QoL) questionnaire for thyroid cancer patients (KT-QoL), and to evaluate its reliability and validity.

Materials and methods

Two hundred seventy-two patients who underwent thyroidectomy from January to December 2010 were recruited in this study. The original version of the thyroid QoL was translated into Korean and evaluated for its reliability and validity. Using the developed KT-QoL, the postoperative QoL was evaluated until postoperative 1 year.

Results

At the preoperative baseline, the item internal consistency (IIC) ranged from ?0.19 to 0.76, with low IIC values for items 2, 17, and 27. Item discriminant validity ranged from 86% to 97%. These values were similar at the postoperative periods. The internal consistency reliability (Cronbach's ?) was high for all dimensions, ranging from 0.90 to 0.95. The test-retest reliability (intraclass correlation coefficient) was acceptable (0.74-0.82). The external validity examined by the correlation between the item 1j (voice changes) of KT-QoL and the voice handicap index-30 ranged from 0.51 to 0.75. Patients' QoL scores decreased after surgery, which demonstrated the sensitivity of the questionnaire. The QoL scores in patients with lobectomy showed best QoL scores postoperatively and those with receiving radioactive iodine still showed decreased QoL scores along the postoperative periods.

Conclusion

These results demonstrate that KT-QoL is a valid instrument for evaluating QoL of Korean patients with thyroid cancer.

SUBMITTER: Ryu CH

PROVIDER: S-EPMC5912148 | biostudies-literature | 2018 Apr

REPOSITORIES: biostudies-literature

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Publications

Development and Evaluation of a Korean Version of a Thyroid-Specific Quality-of-Life Questionnaire Scale in Thyroid Cancer Patients.

Ryu Chang Hwan CH Park Boram B Ryu Junsun J Ryu Youn Mi YM Jo Seong Ae SA Lee You Jin YJ Lee Eun-Kyung EK Hwangbo Yul Y Joo Jungnam J Jung Yuh-Seog YS

Cancer research and treatment 20170526 2

<h4>Purpose</h4>The purpose of this study was to develop a Korean version of the self-reported thyroid-specific quality of life (QoL) questionnaire for thyroid cancer patients (KT-QoL), and to evaluate its reliability and validity.<h4>Materials and methods</h4>Two hundred seventy-two patients who underwent thyroidectomy from January to December 2010 were recruited in this study. The original version of the thyroid QoL was translated into Korean and evaluated for its reliability and validity. Usi ...[more]

PMID: 28602058

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Project description:ObjectiveThe Menopause-Specific Quality-of-Life (MENQOL) questionnaire was developed as a specific tool to measure the health-related quality-of-life of postmenopausal women. Thus far, the Chinese version questionnaire has not been subjected to psychometric assessment with a large sample. This study aims to evaluate the validity and reliability of the Chinese version of the MENQOL specific to postmenopausal women in China.MethodsA total of 1,137 menopausal symptomatic and 491 menopausal asymptomatic women from eight cities in China were recruited using a convenience sampling method. Psychometric properties were evaluated by descriptive statistics, validity, and reliability. Reliability was assessed for each subscale of the MENQOL through internal consistency reliability with Cronbach's ? and intersubscale correlations. Item-domain correlations, principal components analysis (PCA), and confirmatory factor analysis were performed to determine construct validity. t tests were used to compare the differences between the menopausal symptomatic and asymptomatic women and to evaluate the discriminate validity. Pearson correlation coefficients were calculated between MENQOL scores and the Kupperman index to assess criterion-related validity.ResultsThe most common symptoms in Chinese menopausal symptomatic women were "experiencing poor memory" (94.4%), "feeling tired or worn out" (93.8%), "aching in muscle and joints" (89.4%), "low backache" (86.9%), "decrease in physical strength" (86.6%), "aches in back of neck or head" (86.2%), "difficulty sleeping" (83.6%), "accomplishing less than I used to" (83.4%), "feeling a lack of energy" (83.3%), "change in your sexual desire" (81%), and "hot flash" (80.7%) among others. The symptoms of "increased facial hair" were rarely seen (9.9%). The vasomotor domain, as well as psychosocial, physical, and sexual domains showed high reliability (Cronbach's ? 0.84, 0.87, 0.89, and 0.86, respectively). Item-domain correlation analysis showed that all items correlated more strongly with their own domains than with other domains. In the PCA, after deleting the "increased facial hair" item, items in the vasomotor, sexual, and psychosocial subscales loaded on their respective domains by and large, and items in the physical subscale divided into two factors. The PCA revealed a latent structure of the Chinese version of MENQOL nearly identical to the original MENQOL domains. The confirmatory factor analysis demonstrated that the questionnaire fits well with a four-domain model. The MENQOL can discriminate between menopausal symptomatic women with asymptomatic women as it showed good discriminate validity. Criterion-related validity was confirmed by a significant correlation between MENQOL scores and the Kupperman index.ConclusionsThis study showed that Chinese version of MENQOL has good psychometric properties and would be suitable to measure the health-related quality-of-life of Chinese menopausal women except for item 21 (increased facial hair).

Dataset Information

Development and Evaluation of a Korean Version of a Thyroid-Specific Quality-of-Life Questionnaire Scale in Thyroid Cancer Patients.

Purpose

Materials and methods

Results

Conclusion

Publications

Development and Evaluation of a Korean Version of a Thyroid-Specific Quality-of-Life Questionnaire Scale in Thyroid Cancer Patients.

Similar Datasets

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