https://nova.newcastle.edu.au/vital/access/ /manager/Index ${session.getAttribute("locale")} 5 https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:5747 Wed 11 Apr 2018 14:08:22 AEST ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:7471 Wed 11 Apr 2018 11:57:34 AEST ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:7473 21) with self-reported diabetes were recruited by convenience sampling at a public event organized by Diabetic Society of Singapore to commemorate the World Diabetes Day. Correlation between diabetes knowledge (measured using the General Diabetes Knowledge Test (GDKT), score range 0-100) and HRQoL (measured using the Audit of Diabetes-dependent Quality of life (ADDQoL), score range 0~100;EQ-5D, score range-0.594 to 1) were studied using Pearson correlation coefficients. The relationship between diabetes knowledge and HRQoL was studied using 3 separate multiple linear regression (MLR) models with HRQoL scores as dependent variable and GDKT score as independent variable. No adjustment was made in the first MLR model,while socioeconomic variable(s) and socioeconomic and medical status variables were adjusted respectively in the other 2 models. Results: Data from 42 subjects with complete responses were analyzed (mean (SD) age:53.0(9.61) years, 45% female, 90% with >6 years of education, 64.3% with other chronic medical conditions, 40.5% with diabetes complications). Mean (SD) GDKT, ADDQoL and EQ-5D scores were 33.1(3.53), 46.9(18.56) and 0.9(0.15) respectively. Correlations between diabetes knowledge and ADDQoL and EQ-5D scores were 0.26 and 0.30 respectively. A comparatively modest predictive power of diabetes knowledge was found to explain the variances in ADDQoL and EQ-5D of around 12% (Model II). Conclusion: Our results showed diabetes knowledge to be modestly correlated with both diabetes-specific and generic HRQoL, indicating that diabetes knowledge may be useful as a predictor of HRQoL when modeled properly. Yet, further studies utilizing larger sample size would be required to confirm the observation.]]> Wed 11 Apr 2018 10:51:51 AEST ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:7450 12 years of education) and 200 rheumatic patients (mean [SD] age: 46.6 [14.7], 70.5% female, 45.5% with >12 years of education). Cronbach's α for the FHLT was 0.72 and 0.68 for the general public and rheumatic patients, respectively, suggesting adequate reliability. Convergent validity was demonstrated with a strong correlation between scores on the FHLT and REALM (0.65 [p < 0.01] for the general public, 0.68 [p < 0.01] for rheumatic patients). Divergent validity was shown by the weak correlation between the FHLT score and education level (0.33 [p < 0.01] for the general public, 0.28 [p < 0.01] for rheumatic patients). Test-retest reliability of the FHLT among rheumatic patients (n = 112, response rate = 56%) was shown to be high (ICC = 0.95). ICC was not calculated for the test-retest reliability among the general public because of a poor response rate of 9%. Conclusions: The 21-item FHLT has been shown to be a reliable and valid screening test for measuring functional health literacy levels of the general public as well as patients in healthcare settings. The availability of the FHLT would contribute to the effectiveness of health education programs and better health-related outcomes in the general population.]]> Sat 24 Mar 2018 08:38:48 AEDT ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:7472 Sat 24 Mar 2018 08:38:47 AEDT ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:5336 Sat 24 Mar 2018 07:45:55 AEDT ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:23421 Sat 24 Mar 2018 07:13:54 AEDT ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:23573 Sat 24 Mar 2018 07:12:46 AEDT ]]>