Technology-Based Strategy to Improve Medication Compliance Among Patients With Schizophrenia Spectrum Disorders.

INTRODUCTION:  Non-compliance to medications remains a challenging problem in schizophrenia. Newer strategies with high feasibility and acceptability are always being researched. This study aimed to assess the effectiveness of technology-based intervention in improving medication compliance in individuals with schizophrenia. METHOD: This was a prospective intervention study where participants were required to use the SuperMD smartphone application (Digital-Health Technologies Pte Ltd, Kuala Lumpur, Malaysia) for a month. A change in the Medication Adherence Rating Scale-Malay Translation (MARS-M) and Malay Translation of Drug Adherence Inventory-9 (MDAI-9) scores indicated a change in compliance and attitude to medication. Positive and Negative Syndrome Scale (PANSS) was used to assess change in symptoms and insight. Medication compliance was also obtained from the SuperMD application. Paired T-test was used to evaluate the significance of changes in mean scores of research variables over the study period. Wilcoxon signed-rank test was used to analyze the subscale of MDAI-9 and the change in PANSS score. The Kruskal-Wallis test was used to determine the effect of the change of insight on the level of compliance with medication. RESULTS: There were 36 participants in this study. The results showed statistically significant improvement in compliance (0.65, p ≤ 0.01) but not in attitude towards medication (0.78, p = 0.065). There was also an improvement in PANNS score (-2.58, P ≤ 0.01). There was no significant change in insight (χ2(2) = 3.802, p = 0.15).  Conclusion:The use of technology-based strategies like SuperMD is effective in improving medication compliance for individuals with schizophrenia.

Validation of the Malay Translation of Drug Attitude Inventory.

INTRODUCTION: The Drug Attitude Inventory 9 (DAI-9) is a nine-item self-rated questionnaire. The questionnaire assessed positive and negative attitudes of patients toward taking medication, presence of medication side effects and perceived autonomy in treatment decision. Aim: This study aimed to validate the psychometric properties of the Malay translation of Drug Attitude Inventory 9 (MDAI-9). METHOD: DAI-9 was translated from English to Malay via forward and backward translation process to produce MDAI-9. MDAI-9 was then validated on patients with psychosis who were attending psychiatry out-patient clinics. Results: There were 54 participants in this study. The subscale (attitude towards psychotropic medications) has a Cronbach's α of 0.93, whereas the subscale that assesses the presence of side effect problems has a Cronbach's α of 0.86. Exploratory factor analysis supported a two-factor model. Kaiser-Meyer-Olkin's measure of sampling adequacy was 0.64 and Bartlett's test of sphericity was significant (​​​​​X2   (36) = 281.8, p <0.001). CONCLUSION: In conclusion, MDAI-9 is reliable and valid.

Psychometric Properties of the Malay Translation of the Medication Adherence Rating Scale.

INTRODUCTION: The Medication Adherence Rating Scale (MARS) is a self-rated questionnaire that assesses medication compliance. AIM: This study aimed to validate the Malaysian language translation of the MARS (MARS-M). METHOD: The original scale was translated to Malay via forward and backward translation process. The psychometric properties of the MARS-M were validated on clinical samples (N = 54). RESULTS: The MARS-M was filled by 54 participants. Exploratory factor analysis supported a two-factor model. Factor 1 of the MARS-M consisted of four items (α = 0.84), while factor 2 consisted of three items (α = 0.78).Kaiser-Meyer-Olkin measure of sampling adequacy was 0.60, and Bartlett's test of sphericity was significant (X2 (28) = 66.4, p <0.001). CONCLUSION: The MARS-M is reliable and valid.

Psychometric Properties of the Malay Version of the Internet Gaming Disorder Scale-Short Form (IGDS9-SF-M): Evidence from a Sample of Malaysian Undergraduates.

In recent years, increased interest in Internet Gaming Disorder has led to the development of the Internet Gaming Disorder Scale-Short Form. Translation and subsequent validation of such a scale are important for cross-cultural use. The aim of the present study was to examine the psychometric properties (factor structure, reliability, and validity) of the Malay Version of the Internet Gaming Disorder Scale-Short Form using a sample of Malaysian undergraduates. The present sample included 137 Malaysian undergraduates. Participants completed a self-administered online survey containing demographic items, the Malay Version of the Internet Gaming Disorder Scale-Short Form, the Problematic Online Gaming Questionnaire-Short Form, and the Malay Version of the Internet Addiction Test. The present findings confirm the one-factor model of the Malay Version of the Internet Gaming Disorder Scale-Short Form. Good reliability, as measured by Cronbach alpha, was found for the Malay Version of the Internet Gaming Disorder Scale-Short Form. The Malay Version of the Internet Gaming Disorder Scale-Short Form has demonstrated concurrent validity by significantly correlating with the Problematic Online Gaming Questionnaire-Short Form as well as demonstrated convergent validity with respect to the Malay Version of the Internet Addiction Test. The Malay Version of the Internet Gaming Disorder Scale-Short Form is a reliable and valid tool for assessing Internet Gaming Disorder in Malaysian undergraduates. As more research is still needed to confirm the status of Internet Gaming Disorder as a formal disorder, it is hoped that the Malay Version of the Internet Gaming Disorder Scale-Short Form can facilitate future research examining antecedents and consequences of Internet Gaming Disorder in a Malaysian setting.

Factors Correlated With Internet Gaming Disorder Among Malaysian University Students

@#Introduction: Internet gaming disorder (IGD) has recently been incorporated into the Diagnostic and Statistical Manual of Mental Disorders fifth edition (DSM-5) as a disorder for future research. The primary objectives of the present study are to describe the level of IGD and to examine its correlations with sociodemographic factors and psychological comorbidities among undergraduate students in a Malaysian university. Methods: A total of 411 undergraduate students completed an online questionnaire. They were selected from a random sample of participating university faculties. The online questionnaire contained the Internet Gaming Disorder Scale-Short-Form and the Depression, Anxiety, Stress Scale. Results: The presents study reported that 52.8% of the participants had high IGH. Using hierarchical multiple regression, age (β = -0.09, p < 0.05), gender (β = -0.40, p < 0.001) and stress (β = 0.23, p < 0.05) were statistically significant predictors of IGD. Academic performance, depression and anxiety did not emerge as significant predictors. Conclusion: These findings highlight the risk factors (in particular, stress) of IGD. Further studies on interventions, particular that of preventative strategies, will be needed to combat this emerging public health problem.