MATERIALS AND METHODS: A retrospective review of case notes on adult psoriasis patients treated with biologics in Hospital Sultanah Aminah Johor Bahru Malaysia, between January 2006 and December 2020. Drug survival was analysed using the Kaplan-Meier method.
RESULTS: By December 2020, 100 patients with 154 treatment courses of biologics were included in the study. Male to female ratio was 1:1. The mean age at onset was 31.36 ± 11.72 years. Ustekinumab was the most frequently prescribed biologics (39%), followed by adalimumab (29.2%), secukinumab (14.9%), etanercept (13%), and infliximab (3.2%). Overall median drug survival for biologics was 25 months (interquartile range [IQR]= 12.0-.0). The median drug survival for ustekinumab was 35 months (IQR, 12-93); followed by 25 months (IQR, 12.0-), 18 months (IQR, 7-85), 17 months (IQR, 11-43), and 8 months (IQR, 1-10) for secukinumab, adalimumab, etanercept, and infliximab, respectively. The main reason for drug discontinuation was loss of efficacy (26%), inadequate funding (14.3%), loss to follow-up (10.4%), adverse events (4.5%), and patients' request (1.3%).
CONCLUSION: Our study shows ustekinumab has the best long-term drug survival among biologics in Malaysian patients with psoriasis in real-life setting. Further study is required to evaluate the long-term drug survival for newer biologics.
METHODS: A cross-sectional survey using a self-administered questionnaire was conducted with 300 community pharmacists in the Klang Valley, Malaysia using a stratified sampling approach. The questionnaire consisted of 36 questions with three sections: demographic data, adoption of mHealth applications and perception towards mHealth applications. Descriptive and inferential tests as well as exploratory factor analysis were used to analyse the data.
KEY FINDINGS: Adoption of mHealth applications by community pharmacists for both professional and personal use was relatively high at 79.7%. Utilised mHealth applications were primarily from the medical references category, while applications for patient monitoring, personal care and fitness were used to a lesser degree. Among mHealth application users, only 65.7% recommended them to their patients. Overall perception towards mHealth applications was positive, but perception towards the benefits and favour of mHealth applications for their patients was lower. This was corroborated by the factor analysis, which identified four main factors explaining 59.9% of variance in the dataset. These factors were perception towards use in their own professional practice, perception on benefits and use in their patients, perception on specific features of mHealth applications, and reliability of mHealth applications.
CONCLUSIONS: Adoption of mHealth applications among community pharmacists in Malaysia is high. Community pharmacists are more likely to use mHealth applications professionally and personally but less likely to recommend them to patients due to less favourable perceptions on how patients will benefit from mHealth applications.
OBJECTIVE: This study was looking at the acceptance towards using social network information system among public health workers.
MATERIALS AND METHOD: This study was done on 205 Malaysian One Health University Network (MyOHUN) members through email and physical survey.
RESULTS: Results show that 62.4% public health workers accepted the use technology. The acceptance was shown to be associated with performance expectancy (p<0.05). However, unlike the very famous Unified Theory of Acceptance and Use of Technology (UTAUT) model, the acceptance of social network information system was not associated with effort expectancy, social factors, facilitating conditions and socio-demographic factors. Therefore, it is suggested that social network information system be developed by the authorities in Malaysia, and be developed in a way that the system could strongly increase performance in detection of outbreak earlier than the current normal pathways. As such the system to be accepted and used, it must be sensitive, specific and be able to detect influenza outbreak early CONCLUSION: The development of social network information system is feasible as it is highly accepted and it's potential to improve early detection of influenza outbreak.
METHODS: Medical claims records from February 2019 to February 2020 were extracted from a health insurance claims database. Data cleaning and data analysis were performed using Python 3.7 with the Pandas, NumPy and Matplotlib libraries. The top five most common diagnoses were identified, and for each diagnosis, the most common medication classes and medications prescribed were quantified. Potentially inappropriate prescribing practices were identified by comparing the medications prescribed with relevant clinical guidelines.
KEY FINDINGS: The five most common diagnoses were upper respiratory tract infection (41.5%), diarrhoea (7.7%), musculoskeletal pain (7.6%), headache (6.7%) and gastritis (4.0%). Medications prescribed by general practitioners were largely as expected for symptomatic management of the respective conditions. One area of potentially inappropriate prescribing identified was inappropriate antibiotic choice. Same-class polypharmacy that may lead to an increased risk of adverse events were also identified, primarily involving multiple paracetamol-containing products, non-steroidal anti-inflammatory drugs (NSAIDs), and antihistamines. Other areas of non-adherence to guidelines identified included the potential overuse of oral corticosteroids and oral salbutamol, and inappropriate gastroprotection for patients receiving NSAIDs.
CONCLUSIONS: While prescribing practices are generally appropriate within the private primary care sector, there remain several areas where some potentially inappropriate prescribing occurs. The areas identified should be the focus in continuing efforts to improve prescribing practices to obtain the optimal clinical outcomes while reducing unnecessary risks and healthcare costs.
METHODOLOGY: A cross-sectional study was conducted among 269 older persons with diabetes in all government health clinics in Kuantan using Diabetes Quality of Life questionnaire. SPSS version 23 was used for the statistical analysis.
RESULTS: Majority of the respondents were females (61%), Malays (84.8%), pensioners (54.3%) with education up to primary school (52%) and are staying with family members (93.7%). Most of the patients were on two antidiabetic agents (48%) followed by a single antidiabetic agent (32%). Despite the risk of hypoglycaemia, 0.4% of them are on glibenclamide. The use of insulin is still common among 21% of them that are on intermediate-acting insulin, 15.6% on premixed insulin and 7.8% on short-acting insulin. Those taking a higher number of antidiabetic agents were found to be associated with poorer quality of life (p=0.001) compared to those taking one or two antidiabetic medications. Those on insulin also have significantly poorer quality of life score (p=0.012).
CONCLUSION: Despite aiming for controlled diabetes, older persons suffer poor quality of life with further intensification of their antidiabetic medications according to the guidelines. This includes the complexity of insulin usage and polypharmacy, which contribute to the low quality of life score.
METHODS: A total of 250 children (9-12 years of age) and their parents participated in this cross-sectional study. Physical Activity Questionnaire for Older Children and Neighbourhood Environmental Walkability Scale as well as questions on constrained behaviours (avoidance and defensive behaviours) were used to assess the children's physical activity and parental perception of neighbourhood environment and safety, respectively.
RESULTS: More than one-third (36.0%) of the children were physically inactive compared with only a small percentage (4.8%) who were physically active, with boys achieving higher physical activity levels than girls (t = 2.564, P = 0.011). For the environmental scale, parents' perception of land-use mix (access) (r = 0.173, P = 0.006), traffic hazards (r = -0.152, P = 0.016) and defensive behaviour (r = -0.024, P = 0.143) correlated significantly with children's physical activity. In multiple linear regression analysis, child's gender (β = -0.226; P = 0.003), parent's education (β = 0.140; P = 0.001), household income (β = 0.151; P = 0.024), land-use mix (access) (β = 0.134; P = 0.011) and defensive behaviour (β = -0.017; P = 0.038) were significantly associated with physical activity in children (R = 0.349, F = 6.760; P
STUDY DESIGN: A cross-sectional study was conducted among 444 pregnant women (≥20 weeks gestation).
MAIN OUTCOMES MEASURES: Women completed questionnaires on sociodemographic data, maternal characteristics and pre-pregnancy weight. Height, current weight and MUAC were measured at study visit (from 1st February 2016 to 31st January 2017).
RESULTS: About a third (34.24%) of pregnant women were overweight or obese prior to pregnancy. MUAC was inversely associated with an inadequate rate of gestational weight gain (OR = 0.77; 95% CI: 0.68, 0.87) as compared to normal gestational weight gain. In contrast, a higher MUAC was associated with a higher odds ratio (OR = 1.28; 95% CI: 1.11, 1.49) of having excessive rate of gestational weight. No associations were found for pre-pregnancy BMI categories for gestational weight gain rate.
CONCLUSION: Our findings revealed that women with low MUAC were more likely to have an inadequate gestational weight gain rate during pregnancy whereas higher MUAC was associated with an excessive gestational weight gain rate. MUAC may be a useful indicator of nutritional status associated with GWG. Routine measurement of MUAC in pregnant women may help health professionals, particularly in middle-income countries, to counsel women about gestational weight gain.
METHODS: The study was conducted using a self-administered questionnaire. Knowledge of PIMs was assessed using 10 clinical vignettes based on the 2015 Beers Criteria. Practice behaviour towards older customers was assessed using 10 items with a 5-point Likert scale. Descriptive and inferential statistics were used to analyse the data.
RESULTS: A total of 277 community pharmacists participated in the study. Only 27.1% of the pharmacists were aware of Beers Criteria, and of these, only 37.3% were aware of the latest 2015 update. The respondents demonstrated moderate knowledge of PIMs with a mean total score of 5.46 ± 1.89 out of a maximum of 10. Pharmacists who were aware of Beers Criteria had significantly higher scores (6.31 vs 5.14, P