Background:The Memorial Symptom Assessment Scale-Short Form (MSAS-SF), a standard instrument for assessing cancer patients' symptoms, has been validated in numerous languages. However, it has not been validated in Thai. Objectives: The purpose of this study was to translate the MSAS-SF into Thai and determine its psychometric properties in Cholangiocarcinoma (CCA) patients. Methods: The MSAS-SF was translated into Thai, and 231 CCA patients completed the questionnaires, which included baseline characteristics, T-MSAS-SF, Functional Assessment of Cancer Therapy-Hepatobiliary (FACT-Hep), and the Hospital Anxiety and Depression Scale (HADS). Cronbach's alpha coefficient was used to assess reliability for internal consistency. For convergent validity, Pearson's correlation coefficient was used to calculate the relationship between the T-MSAS-SF and the T-CaSUN, HADS, and FACT-Hep subscales. Results: Subscale and total T-MSAS-SF internal consistency reliability was moderately high, with Cronbach alpha coefficients ranging from 0.76 to 0.87. For convergent validity, the majority of T-MSAS-SF scores had moderate to low inverse correlation with FACT-Hep, HADS T-CaSUN subscales with the correlation coefficients-0.10 to -0.68 (p<0.05), reflecting that they were measuring a similar construct.Conclusion: Our findings showed that the T-MSAS-SF has acceptable validity and reliability to assess the psychometric properties of early to advance stage CCA patients during treatment and early post-treatment stage.

Background: Cancer survivors frequently experience of unmet demands that are linked to psychological illness, anxiety, and quality of life. Cholangiocarcinoma (CCA) survivors, on the other hand, still lack of validated tool to assess their particular requirements. The aims of this study were to adjust the Cancer Survivors' Unmet Need Scale (CaSUN) to a shorter form and to examine its psychometric scale-specific features for the Thai CCA survivors. Methods: This cross-sectional study recruited 231 CCA survivors and randomly split them into 2 groups (group 1, n =115, and group 2, n =116). Firstly, we modified and translated the CaSUN to ensure Thai cultural adaptation. Secondly, we used the statistical methods to reduce some items, then an exploratory factor analysis (EFA) using group 1 to explore the factor structure of the T-CaSUN was done. Finally, a confirmatory factor analysis (CFA) using group 2 was conducted to confirm the modified structure suggested by the EFA and to test for the construct validity of the T-CaSUN. Results: Participants consisted of 231 CCA survivors. EFA and CFA organized the four components construct T-CaSUN, which included intensive care, information, relationship, and medical care. The T-CaSUN's internal reliability was good (Cronbach's alpha was 0.75). Furthermore, construct validity was linked to bodily consequences, anxiety and depression, support care needs, stage of cancer, and age. For assessing unmet needs among CCA survivors in Thailand, the T-CaSUN exhibited acceptable reliability and validity. Conclusion: The T-CaSUN demonstrated acceptable reliability and validity for assessing unmet needs among CCA caregivers in Thailand. This short form measurement can assist healthcare practitioners in providing successful individualized care by focusing on the particular requirements of these survivors.

Background: T2DM is a chronic illness associated with numerous comorbidities and leads to chronic complications, resulting in high morbidity and mortality, rising health care costs. However, patients with this disease, through self-care, can significantly mitigate the risk, or delay the onset of these T2DM complications Objective: To investigate factors along with Diabetes Knowledge  Method: A cross-sectional study was carried out among T2DM patients living in both rural and urban areas from the Central and Northeastern regions of Thailand were recruited from outpatient diabetes clinics of both community and university hospitals in both the Khon Kaen and Bangkok provinces of Thailand. Patients were sampled using a stratified sampling design where strata were based on locality (Province) - hospital size combinations. Firstly, we had translated all questionnaires from English to the local language then again back translated simultaneously. Then, the third step was to perform psychometric testing of the DK instrument Lastly, binary logistics mixed effect regression was used to investigate the clustering effect of the participant’s characteristic on this study. Results: After adjust for covariates derivate that age, KK and smaller hospitals, higher education, monthly income, underweight and overweight, DM treatment, and smoking nor alcohol where all found to be associated with various DK Conclusion: In future DK measurement is likely to provide valuable insights in to the epidemiology of diabetes self-management and may also be used to evaluate interventions to reduce poor self-care in T2DM patients, in turn, politically reducing the incidence of, and mortality from, type 2 diabetes mellitus complications.