METHODS: A total of 180 patients with type 2 diabetes participated in this study and fulfilled the self-administered questionnaire in Diabetes Clinic of Primary Medical Center of University Kebangsaan Malaysia Medical Centre; the response rate was 84%. We used the universal sampling method and assessed three groups of factors including sociodemographic, information and communication technology (ICT), willingness and interest, and disease factors.
RESULTS: Our results showed that 56% of the patients with diabetes were interested to use such programs; majority of the patients were Malay, and patients in the age group of 51-60 years formed the largest group. Majority of these patients studied up to secondary level of education. Age, education, income, and money spent for checkup were significantly associated with the interest of patients with diabetes to the internet-based programs. ICT-related factors such as computer ownership, computer knowledge, access to the internet, frequency of using the internet and reasons of internet usage had a positive effect on patients' interest.
CONCLUSION: Our results show that among low to intermediate social class of Malaysian patients with type 2 diabetes, more than 50% of them can and wanted to use the internet-based self-management programs. Furthermore, we also show that patients equipped with more ICT-related factors had more interest toward these programs. Therefore, we propose making ICT more affordable and integrating it into the health care system at primary care level and then extending it nationwide.
METHODS: A total of 50 stroke patients aged 29 to 81-year-old were included in this study. A face to face interview was conducted to gather the demographic and clinical data. Subsequently, assessments including Barthel ADL Index (BI), Addenbrooke's Cognitive Examination-Revised (ACE-R) and Hospital Anxiety and Depression Scale (HADS) were administered to the subjects.
RESULTS: The results showed that the prevalence of cognitive impairment was 76% among the studied populations. The subjects' race (Fisher's value= 9.56, P < 0.05) and education level (Fisher's value = 7.29, P < 0.05) were significantly associated with the cognitive status. The depression score was significantly higher in cognitively impaired group [t (48) = -4.42, P < 0.001] while the Barthel Index score was significantly lower in cognitively impaired group (median = 18.00, P < 0.05). The univariate logistic analysis demonstrated that Chinese (OR 7.33, 95% CI = 1.61-33.51), lower education level (OR 9.33, 95% CI = 0.89-97.62), right sided lesion (OR 0.29, 95% CI = 0.06-1.54), left face weaknesses (OR 0.40, 95% CI 0.09-1.83), high cholesterol (OR 0.45, 95% CI = 0.12-1.75), depression (OR 2.16, 95% CI = 0.85-1.35), and Barthel Index (OR 0.79, 95% CI = 0.57-1.10) were significant predictors. Finally, multivariate logistic regression verified that depression was the only significant predictor of post-stroke cognitive impairment (OR 2.03, 95% CI = 1.20-3.45).
CONCLUSION: In conclusion, the prevalence of cognitive impairment in this study was higher than other community based studies and depression was a risk factor for cognitive impairment.