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Aims: The 59-item Comprehensive Needs Assessment Tool (CNAT) for cancer patients is an English language survey developed in South Korea. The objective of this study was to validate the English version of CNAT in advanced cancer patients in Singapore. Methods: This was a cross-sectional survey where advanced cancer patients completed the CNAT in English. Confirmatory factor analysis was used to assess construct validity. For known groups validity, independent samples t-test was used to compare CNAT scores based on the Karnofsky performance status and outpatient versus inpatient setting. Cronbach's alpha was used to measure internal consistency. Results: A total of 328 advanced cancer patients were recruited. The mean age was 59.6 years and 49.1% were male. Majority (68.0%) were Chinese, 20.4% were Malay, 7.9% were Indian, and 3.7% were of other ethnicities. The 7-factor model previously established in Korea showed sufficient construct validity with root mean square error of approximation 0.037 and comparative fit index 0.944. All 59 items had a factor loading ≥0.5. Group invariance test showed no difference in the pattern of factor loadings between ethnic Chinese and other ethnic groups (P = 0.155). For known groups validity, there were significant differences in CNAT scores by performance status and outpatient versus inpatient setting. The CNAT total and factor scores showed good internal consistency with Cronbach's alpha of between 0.80 and 0.937. Conclusions: The CNAT showed construct and known-group validity and internal consistency in this study sample and can be used to assess the unmet needs of advanced cancer patients in the Singapore context. [ABSTRACT FROM AUTHOR]

Objective: The purpose of this study was to determine the structural validity of the Health Literacy Scale (HLS) in Korean patients with diabetes based on the previously reported first‐order three‐factor and two‐factor models and a newly proposed second‐order model, to identify which model best represents the structure of the Korean version of the HLS (HLS‐K). Methods: The HLS was translated from Japanese into Korean using a translation and back‐translation technique. A secondary data analysis was used to validate the structure of the HLS. Data were obtained from a cross‐sectional survey involving 459 adults with diabetes recruited from outpatient clinics at two university hospitals in South Korea. The structural validity was examined using confirmatory factor analysis. Additionally, the known‐groups validity by education level and internal consistency validity were assessed. Results: The second‐order three‐factor model of the HLS‐K exhibited a good fit to the data, as indicated by χ2/df = 3.891, SRMR = 0.042, GFI = 0.924, RMSEA = 0.079 (90% CI = 0.069–0.090), and CFI = 0.962. The second‐order three‐factor model empirically demonstrated that both communicative and critical factors explained the variance in the overall health literacy better than did the functional factor. The HLS‐K mean score was significantly lower for patients with only elementary school education than for those with higher education levels, implying the presence of known‐groups validity. Cronbach's alpha for the total scale was 0.90. Conclusions: This study found that the second‐order three‐factor model of the HLS‐K is better than that the original first‐order three‐factor and first‐order two‐factor models. Further validation studies are needed to generalise the underlying structure of the instrument in diabetes populations across various cultures. [ABSTRACT FROM AUTHOR]

Purpose: The purpose of this study was to evaluate measurement properties of self-report questionnaires for studies published in Korean nursing journals. Methods: Of 424 Korean nursing articles initially identified, 168 articles met the inclusion criteria. The methodological quality of the measurements used in the studies and interpretability were assessed using the COnsensus- based Standards for the selection of health Measurement INstruments (COSMIN) checklist. It consists of items on internal consistency, reliability, measurement error, content validity, construct validity including structural validity, hypothesis testing, cross-cultural validity, and criterion validity, and responsiveness. For each item of the COSMIN checklist, measurement properties are rated on a four-point scale: excellent, good, fair, and poor. Each measurement property is scored with worst score counts. Results: All articles used the classical test theory for measurement properties. Internal consistency (72.6%), construct validity (56.5%), and content validity (38.2%) were most frequently reported properties being rated as 'excellent' by COSMIN checklist, whereas other measurement properties were rarely reported. Conclusion: A systematic review of measurement properties including interpretability of most instruments warrants further research and nursing-focused checklists assessing measurement properties should be developed to facilitate intervention outcomes across Korean studies. [ABSTRACT FROM AUTHOR]