METHODS: Five specialist periodontal clinics in the Ministry of Health represented the public sector in providing clinical and cost data for this study. Newly-diagnosed periodontitis patients (N = 165) were recruited and followed up for one year of specialist periodontal care. Direct and indirect costs from the societal viewpoint were included in the cost analysis. They were measured in 2012 Ringgit Malaysia (MYR) and estimated from the societal perspective using activity-based and step-down costing methods, and substantiated by clinical pathways. Cost of dental equipment, consumables and labour (average treatment time) for each procedure was measured using activity-based costing method. Meanwhile, unit cost calculations for clinic administration, utilities and maintenance used step-down approach. Patient expenditures and absence from work were recorded via diary entries. The conversion from MYR to Euro was based on the 2012 rate (1€ = MYR4).
RESULTS: A total of 2900 procedures were provided, with an average cost of MYR 2820 (€705) per patient for the study year, and MYR 376 (€94) per outpatient visit. Out of this, 90% was contributed by provider cost and 10% by patient cost; 94% for direct cost and 4% for lost productivity. Treatment of aggressive periodontitis was significantly higher than for chronic periodontitis (t-test, P = 0.003). Higher costs were expended as disease severity increased (ANOVA, P = 0.022) and for patients requiring surgeries (ANOVA, P
AIMS: The present study aims to assess the association of demographic, cultural, and social factors with volunteering among Malaysian adults over the age of 50.
METHODS: A cross-sectional study was conducted in 2020 involving 3,034 Malaysians aged 50 years and above across Malaysia, selected using a multi-stratified random sampling technique based on National Census 2020 data. A validated survey questionnaire to determine the demographic factor (age, sex, education level, employment status, health status, physical disability, and location of residence), cultural factor (ethnicity and religion), and social factor (social support, marital status, living arrangement, mode of transportation) that influence voluntary participation was distributed and collected. The association between these factors and volunteer participation was analysed using logistic regression models to identify significant predictors of voluntary participation among Malaysian adults over the age of 50.
RESULTS: A regression model indicates that living in rural areas (OR 2.03, 95% CI 1.63-2.53), having higher education level (Tertiary level: OR 2.77, 95% CI 1.86-4.13), being employed (OR 1.31, 95% CI 1.10-1.56), differences in ethnicity background (Chinese: OR 0.58, 95% CI 0.39-0.86) and ease of transportation (Driving private transport: OR 1.26, 95% CI 1.19-1.32; Public transport: OR 1.07, 95% CI 1.00-1.154) were significantly associated with volunteering with R2 Nagelkerke of 0.147.
CONCLUSION: Recognising various factors towards community volunteering should be addressed by policymakers and volunteer organisations to increase volunteer participation from potential adults over the age of 50 in promoting healthy and active ageing.
OBJECTIVE: To demonstrate Malaysia's experience in implementing ICD-11, from data collection to downstream data use applications.
METHOD AND IMPLEMENTATION: We describe improvements to existing data source systems and downstream data applications. For non-HIS and HIS (ICD-10) systems, data were manually entered into the health management information system equipped with ICD-11 or automatically mapped from ICD-10 to ICD-11. Following these system improvements, we collected and reported ICD-11 data from all hospitals nationwide, regardless of the individual systems' status in ICD-11 use.
DISCUSSION: Lessons learnt related to legacy systems; ICD-11 releases and system updates; mapping; reporting; human resources and related applications.
CONCLUSION: With careful planning, standardisation of the collection and use of ICD-11 data can be accomplished with limited resources and in a complex environment with heterogeneous systems.
IMPLICATIONS: Use of ICD-11 data in downstream data applications improves data quality to answer specific business or research questions.
METHODS AND ANALYSIS: This is double-blind randomised controlled trial, with parallel group, concealed allocation, blinding of patients and assessors, and intention-to-treat analysis. 240 adult participants who had median sternotomy from eight hospitals in Malaysia will be recruited. Sample size calculations were based on the unsupported upper limb test. All participants will be randomised to receive either standard or early supervised incremental resistance training. The primary outcomes are upper limb function and pain. The secondary outcomes will be functional capacity, multidomain recovery (physical and psychological), length of hospital stay, incidence of respiratory complications and quality of life. Descriptive statistics will be used to summarise data. Data will be analysed using the intention-to-treat principle. The primary hypothesis will be examined by evaluating the change from baseline to the 4-week postoperative time point in the intervention arm compared with the usual care arm. For all tests to be conducted, a p value of <0.05 (two tailed) will be considered statistically significant, and CIs will be reported. The trial is currently recruiting participants.
ETHICS AND DISSEMINATION: The study was approved by a central ethical committee as well as the local Research Ethics Boards of the participating sites (UKM:JEP-2019-654; Ministry of Health: NMMR-50763; National Heart Centre: IJNREC/501/2021). Approval to start was given prior to the recruitment of participants commencing at any sites. Process evaluation findings will be published in peer-reviewed journals and presented at relevant academic conferences.
TRIAL REGISTRATION NUMBER: International Standard Randomised Controlled Trials Number (ISRCTN17842822).