Introduction: A scaled-up treatment cascade with direct-acting antiviral (DAA therapy is necessary to achieve global WHO targets for hepatitis C virus (HCV) elimination in Malaysia. Recently, limited access to sofosbuvir/daclatasvir (SOF/DAC) is available through compulsory licensing, with access to sofosbuvir/velpatasvir (SOF/VEL) expected through voluntary licensing due to recent agreements. SOF/VEL has superior clinical outcomes but has higher drug acquisition costs compared to SOF/DAC. A stratified treatment cascade might be the most cost-e cient approach for Malaysia whereby all HCV patients are treated with SOF/DAC except for patients with cirrhosis who are treated with SOF/VEL. Methods: This study aimed to conduct a 5-year budget impact analysis of the proposed stratified treatment cascade for HCV treatment in Malaysia. A disease progression model that was developed based on model-predicted HCV epidemiology data was used for the analysis, where all HCV patients in scenario A were treated with SOF/DAC for all disease stages while in scenario B, SOF/DAC was used only for non-cirrhotic patients and SOF/VEL was used for the cirrhotic patients. Healthcare costs associated with DAA therapy and disease stage monitoring were included to estimate the downstream cost implications. Results: The stratified treatment cascade with 109 in Scenario B was found to be cost-saving compared to Scenario A. The cumulative savings for the stratified treatment cascade was USD 1.4 million over 5 years. Discussion: A stratified treatment cascade with SOF/VEL was expected to be cost-saving and can result in a budget impact reduction in overall healthcare expenditure in Malaysia.

Background: The coronavirus disease 2019 (COVID-19) pandemic impacted healthcare systems in many aspects, with the most immediate need being the increased healthcare burden and healthcare costs. Nevertheless, the magnitude of hospital workload related to COVID-19 in university hospitals in Malaysia is unknown. Patients’ classification based on Diagnosis-Related Group (DRG) helps the hospital to analyse the complexity of the patients and the required hospital costs of the patient population they are treating. Hospitals can then allocate healthcare resources depending on the anticipated needs of patients within a certain DRG category accordingly. This study aimed to determine the DRG and the hospital costs of COVID-19 cases in one of the university hospitals in Malaysia. Methods: The study was conducted at University Malaya Medical Centre and data on hospital admissions related to COVID-19 in 2021 were coded with International Classification of Diseases 10th Revision (ICD-10) and ICD 9th Revision, Clinical Modification (ICD-9-CM). The combination generated DRG codes, which were A-4-13-I, A-4-13-II and A-4-13-III for mild, moderate and severe classification of COVID-19 respectively. Simultaneously, healthcare resource utilisation and costs were estimated for the codes through clinical pathways. The classification of COVID-19 patients based on DRG was presented as frequencies and percentages while cost data were reported in US dollar (USD) (price year 2021). Results: A total of 4,889 patients with COVID-19 diagnosis were admitted to the hospital. Of these patients, 4,813/4,889 (98%) had a primary diagnosis of COVID-19 while the remaining patients were admitted for other medical reasons such as elective admission for clinical procedures, but were found to be COVID-19 positive. Of the 4,813 patients with a primary diagnosis of COVID-19, 3,909 (81%) were admitted with mild COVID-19 (A-4-13-I), 630 (13%) had moderate COVID-19 (A-4-13-II) and 274 (6%) were admitted for severe COVID-19 (A-4-13-III). The total costs incurred by the hospital for COVID-19 inclusive of the direct medical costs, special allowance for healthcare workers for COVID-19 services, costs of decanting for non-COVID-19 patients to other healthcare facilities and expenditure for consumables and equipment related to COVID-19 management were approximately USD 29.5 million. Conclusions: COVID-19 resulted in significant economic implications for the centre, as it comprised 12% of the total hospital expenditure and resulted in the reduction of the volume and cessation of several healthcare services before the pandemic.

The rapid adoption of telehealth services due to the COVID-19 pandemic has highlighted the necessity for effective tools to evaluate patient experiences. This study developed and validated the Telehealth Usability, Acceptability, and Satisfaction Questionnaire (TUASQ) for virtual COVID-19 Assessment Centres (CACs) in Malaysia, aiming to comprehensively measure usability, acceptability, and satisfaction. Methodology The TUASQ was developed in two phases. Initially, the questionnaire development phase included item generation guided by the Technology Acceptance Model (TAM) and the Health Belief Model (HBM), with feedback from a panel of six experts. Items were refined through Content Validity Index (CVI) - Item-Level Content Validity Index (I-CVI) ≥ 0.82, Scale-Level Content Validity Index (S-CVI) ≥ 0.82, and Content Validity Ratio (CVR ≥ 0.78); and Face Validity Index (FVI) by 10 respondents - Item-Level Face Validity Index (I-FVI) ≥ 0.82 and Scale-Level Face Validity Index (S-FVI ≥ 0.82). The psychometric validation phase involved a cross-sectional study of 705 respondents, recruited through convenience sampling from March to July 2024, to perform Exploratory Factor Analysis (EFA) and Confirmatory Factor Analysis (CFA), followed by reliability testing using Cronbach's alpha, Composite Reliability (CR), and Average Variance Extracted (AVE). Results Content validation showed that most items' I-CVI exceeded 0.82, indicating significant expert consensus on relevance and clarity. The CVR also surpassed the 0.78 threshold, affirming their essential role. Face validation indices generally exceeded 0.80, confirming the questionnaire’s clarity and comprehensiveness from the users’ perspective. EFA with 250 participants indicated a high Kaiser-Meyer-Olkin Measure of Sampling Adequacy (KMO) of 0.933 and significant Bartlett’s test (χ² (136) = 3752.698, p < 0.001), supporting the factorability of the data and extracting three distinct factors. CFA with 455 participants initially showed a poor fit, prompting model adjustments that subsequently improved the fit indices (Root Mean Square Error of Approximation (RMSEA) = 0.076, Standardized Root Mean Square Residual (SRMR) = 0.045, Goodness of Fit Index (GFI) = 0.94, Tucker-Lewis Index (TLI) = 0.96, Comparative Fit Index (CFI) = 0.97). Reliability testing revealed a high internal consistency with Cronbach’s alpha of 0.975. CR for each factor exceeded the 0.70 threshold, and the AVE for each factor was above 0.50, indicating good convergent validity. Conclusion The validated TUASQ is a reliable and effective instrument for assessing the experiences of Malaysian patients using virtual CAC. Demonstrating robust psychometric properties through comprehensive validation processes, the TUASQ accurately measures usability, acceptability, and satisfaction, identifying strengths and areas for improvement in telehealth services. This contributes to enhanced care quality and patient satisfaction in the evolving healthcare landscape

Economic burden issues in SARS-CoV-2 patients with underlying co-morbidities are enormous resources for patient treatment and management. The uncertainty costs for clinical management render the healthcare system catatonic and incurs deficits in national annual budgets. This article focuses on systematic steps towards selecting and evaluating literature to uncover gaps and ways to help healthcare stakeholders optimize resources in treating and managing COVID-19 patients with multi-morbidity. A systematic review of all COVID-19 treatment procedures with co-morbidities or multi-morbidity for the period from 2019 to 2022 was conducted. The search includes studies describing treatment costs associated with multi- or co-morbidity cases for infected patients and, if concurrently reported, determining recurring expenses. Study selection will follow the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines. Galbraith plots and I2 statistics will be deployed to assess heterogeneity and to identify potential sources. A backward elimination process will be applied in the regression modelling procedure. Based on the number of studies retrieved and their sample size, the subgroup analysis will be stratified on participant disease category, associated total costs, and degree of freedom in cost estimation. These studies were registered in the PROSPERO registry (ID: CRD42022323071).

Objective The aim of the study is to assess and compare the work performance loss (absenteeism and presenteeism) and the estimated annual monetary loss among health care workers with and without long COVID. Methods A retrospective cohort study was conducted between October 2022 and April 2024 using an online questionnaire. The shortened version of the Health and Work Performance Questionnaire was used to estimate the work performance effect among health care workers with a history of COVID-19 infection. Results Health care workers with long COVID have a significantly lower absolute presenteeism and higher annual monetary loss of presenteeism. The mean annual monetary loss of presenteeism was higher in those with long COVID (MYR 10,866.61) compared to those without (MYR 9243.85). Conclusions Implementing supportive work strategies in hospital settings is recommended to reduce absolute presenteeism and the annual monetary loss of presenteeism.

Haze imposes a substantial disease burden on the human population especially in the Southeast Asia region due to the high frequency of haze episodes. The reduction of air quality levels by haze has resulted in a substantial disease burden and an increase in healthcare utilization (HU). This study aims to determine the association between haze and HU of haze-related respiratory illnesses with a focus given on the acute exacerbation of bronchial asthma (AEBA) and chronic obstructive pulmonary disease (AECOPD). A cross-sectional study was conducted through secondary data collection of haze/non-haze episodes as the study exposures and HU related to the exacerbation of bronchial asthma and COPD as the study outcomes. Data on haze/non-haze episodes and HU for four consecutive years (2012–2015) were retrieved from the Department of Environment and Ministry of Health Malaysia, respectively. In the four consecutive years, the percentage of haze episodes recorded in all stations was higher (67%) as compared to non-haze (33%) episodes. Means (SD) of patients diagnosed with AEBA and AECOPD were also significantly higher (p < 0.05) for inpatient 74 (62.1) and outpatient 320 (650.1) cases during haze episodes as compared to inpatient 34 (16.5) and outpatient 146 (170.5) cases during non-haze episodes. Findings from this study indicated that haze episodes incurred a significant healthcare burden due to an increase in HU. The evidence from this study will help the policymakers to prepare and allocate resources to control future implications of haze-related illnesses.

The rising healthcare demand during COVID-19 outbreak may endanger patients and forces hospital to plan for future needs. Predictive analyses were conducted to monitor hospital resources at one of the gazetted COVID-19 hospitals in Malaysia. Simultaneously, a real-time observation on patient’s volume was conducted to understand the actual trend of healthcare resource utilisations. All the projections were directly compared to the actual number of patients in-care. This predictive study was done at University Malaya Medical Centre (UMMC) using various sources of data. The projections revealed a steady increase in the number of cumulative cases until April 2020 followed by an exponential increase in the number of cumulative positive cases in Malaysia. When a comparison between the projection and actual data was done, it was found that the initial projections estimated a range that is 50% to 70% higher during the first three phases of Movement Control Order (MCO) compared to the actual number of COVID-19 patients at UMMC. Subsequent projections were done by using recent estimations from the national database and it was estimated that the number of patients treated will be less than 10 each day up until the end of May 2020. The accuracy of this estimation is 95% when compared to the actual number of COVID-19 patients in care. In conclusion, the practice of continuous projections and real-time observation through predictive analysis using mathematical calculations and algorithms is one of the useful tools to facilitate hospital management to allocate adequate resource allocations.

The sudden surge in the number of healthcare utilizations compels the hospital to plan for its future needs. Several time-series projections of Covid-19 were conducted to forecast the disease burden and resources utilization through simple predictive analytics. The projections revealed a rapid increase in the number of cases and patient in care at the hospital. It was estimated that the number of patients in care to range from 62 to 81 and 89 to 121 patients daily in the second and third phase of movement control order respectively. It was estimated that more than 100,000 plastic aprons, 80,000 sterile and non-sterile isolation gowns, 40,000 masks N95 and face shields, 30,000 gloves and nearly 17,000 bottles of hand sanitizers are needed until late May. Hence, a simple mathematical algorithm is a helpful tool to manage hospital resources during the pandemic.

Background Post Acute COVID Syndrome (PACS), a complex and poorly understood condition characterised by persistent symptoms following the acute phase of COVID-19 infection, has emerged as a significant global health concern. Healthcare workers who had been at the forefront of the pandemic response are at heightened risk of contracting the virus and subsequently developing PACS. Therefore, we aim to determine the prevalence and risk factors for PACS among healthcare workers infected with COVID-19. Methods A cross-sectional study was conducted between October 2022 and August 2023 using an online REDCap electronic data capture tool questionnaire. PACS was defined as new or persistent symptoms lasting more than 28 days after a positive SARS-CoV-2 polymerase chain reaction or rapid test kit antigen test. Multivariable logistic regression was performed to determine predictors associated with PACS. Results Among 609 infected healthcare workers, they were predominantly female (71.8%), Malays (84.6%), and aged 18–39 years (70.1%). 50.7% of infected healthcare workers experienced PACS. The most common PACS symptoms experienced were fatigue (27.9%), cough (25.1%), decreased physical strength (20.5%), and musculoskeletal pain (19.2%). Those who are more likely to develop PACS were females, underlying asthma, and COVID-19 severity category 3. On the other hand, those who received booster vaccinations were less likely to develop PACS. Conclusion PACS is prevalent among healthcare workers with COVID-19 at the University Malaya Medical Centre. These findings emphasise the critical need for those with higher risk to receive regular health monitoring and checkups to detect any early signs of PACS. It underscores the need for continuous support and healthcare interventions to mitigate the impacts of PACS and ensure the physical and mental well-being of healthcare workers.