Displaying all 6 publications

Abstract:
Sort:
  1. Puteh SEW, Kamarudin N', Hussein Z, Adam N, Shahari MR
    BMC Public Health, 2024 Jul 26;24(1):2003.
    PMID: 39061035 DOI: 10.1186/s12889-024-19475-w
    BACKGROUND: Cardiovascular disease (CVD) and type 2 diabetes mellitus (T2DM) are non-communicable diseases that impose a significant economic burden on healthcare systems, particularly in low- and middle-income countries. The purpose of this study was to evaluate the hospital treatment cost for cardiovascular disease events (CVDEs) in patients with and without diabetes and identify factors influencing cost.

    METHOD: We conducted a retrospective, cross-sectional study using administrative data from three public tertiary hospitals in Malaysia. Data for hospital admissions between 1 March 2019 and 1 March 2020 with International Classification of Diseases 10th Revision (ICD-10) codes for acute myocardial infarction (MI), ischaemic heart disease (IHD), hypertensive heart disease, stroke, heart failure, cardiomyopathy, and peripheral vascular disease (PVD) were retrieved from the Malaysian Disease Related Group (Malaysian DRG) Casemix System. Patients were stratified by T2DM status for analyses. Multivariate logistic regression was used to identify factors influencing treatment costs.

    RESULTS: Of the 1,183 patients in our study cohort, approximately 60.4% had T2DM. The most common CVDE was acute MI (25.6%), followed by IHD (25.3%), hypertensive heart disease (18.9%), stroke (12.9%), heart failure (9.4%), cardiomyopathy (5.7%) and PVD (2.1%). Nearly two-thirds (62.4%) of the patients had at least one cardiovascular risk factor, with hypertension being the most prevalent (60.4%). The treatment cost for all CVDEs was RM 4.8 million and RM 3.7 million in the T2DM and non-T2DM group, respectively. IHD incurred the largest cost in both groups, constituting 30.0% and 50.0% of the total CVDE treatment cost for patients with and without T2DM, respectively. Predictors of high treatment cost included male gender, non-minority ethnicity, IHD diagnosis and moderate-to-high severity level.

    CONCLUSION: This study provides real-world cost estimates for CVDE hospitalisation and quantifies the combined burden of two major non-communicable disease categories at the public health provider level. Our results confirm that CVDs are associated with substantial health utilisation in both T2DM and non-T2DM patients.

    Matched MeSH terms: Hospital Costs/statistics & numerical data
  2. Anees Ur Rehman, Ahmad Hassali MA, Muhammad SA, Shah S, Abbas S, Hyder Ali IAB, et al.
    Expert Rev Pharmacoecon Outcomes Res, 2020 Dec;20(6):661-672.
    PMID: 31596632 DOI: 10.1080/14737167.2020.1678385
    Background: Lack of information about economic burden of COPD is a major cause of lack of attention to this chronic condition from governments and policymakers. Objective: To find the economic burden of COPD in Asia, USA and Europe, and to identify the key cost driving factors in management of COPD patients. Methodology: Relevant studies assessing the cost of COPD from patient perspective or societal perspective were retrieved by thoroughly searching PUBMED, SCIENCE DIRECT, GOOGLE SCHOLAR, SCOPUS, and SAGE Premier Databases. Results: In the USA annual per patient direct medical cost and hospitalization cost were reported as $10,367 and $6852, respectively. In Asia annual per patient direct medical cost in Iran, Korea and Singapore was reported as $1544, $3077, and $2335, respectively. However, annual per patient hospitalization cost in Iran, Korea, Singapore, India, China, and Turkey was reported as $865, $1371, $1868, $296, $1477 and $1031, respectively. In Europe annual per patient direct medical cost was reported as $11,787, $10,552, $8644, $8203, $7760, $3190, $1889, $2162, and $2254 in Norway, Denmark, Germany, Italy, Sweden, Greece, Spain, Belgium, and Serbia, respectively. Conclusion: Limiting the disease to early stage and preventing exacerbations may reduce the cost of management of COPD.
    Matched MeSH terms: Hospital Costs/statistics & numerical data
  3. Hassan NH, Aljunid SM, Nur AM
    BMC Health Serv Res, 2020 Oct 14;20(1):945.
    PMID: 33054861 DOI: 10.1186/s12913-020-05776-4
    BACKGROUND: The current healthcare sector consists of diverse services to accommodate the high demands and expectations of the users. Nursing plays a major role in catering to these demands and expectations, but nursing costs and service weights are underestimated. Therefore, this study aimed to estimate the nursing costs and service weights as well as identify the factors that influence these costs.

    METHODS: A retrospective cross-sectional descriptive study was conducted at Universiti Kebangsaan Malaysia Medical Centre (UKMMC) using 85,042 hospital discharges from 2009 to 2012. A casemix costing method using the step-down approach was used to derive the nursing costs and service weights. The cost analysis was performed using the hospital data obtained from five departments of the UKMMC: Finance, Human Resource, Nursing Management, Maintenance and Medical Information. The costing data were trimmed using a low trim point and high trim point (L3H3) method.

    RESULTS: The highest nursing cost and service weights for medical cases were from F-4-13-II (bipolar disorders including mania - moderate, RM6,129; 4.9871). The highest nursing cost and service weights for surgical cases were from G-1-11-III (ventricular shunt - major, RM9,694; 7.8880). In obstetrics and gynaecology (O&G), the highest nursing cost and service weights were from O-6-10-III (caesarean section - major, RM2,515; 2.0467). Finally, the highest nursing cost and service weights for paediatric were from P-8-08-II (neonate birthweight > 2499 g with respiratory distress syndrome congenital pneumonia - moderate, RM1,300; 1.0582). Multiple linear regression analysis showed that nursing hours were significantly related to the following factors: length of stay (β = 7.6, p 

    Matched MeSH terms: Hospital Costs/statistics & numerical data*
  4. Jarrar M, Al-Bsheish M, Dardas LA, Meri A, Sobri Minai M
    Int J Health Plann Manage, 2020 Jan;35(1):104-119.
    PMID: 31271233 DOI: 10.1002/hpm.2822
    PURPOSE: In Malaysia, private healthcare sector has become a major player in delivering healthcare services alongside the government healthcare sector. However, wide disparities in health outcomes have been recorded, and adverse events in these contexts have yet to be explored. The purpose of this study was to explore associations between nurse's ethnicity and experience, hospital size, accreditation, and teaching status with adverse events in Malaysian private hospitals.

    METHODS: A cross-sectional survey was conducted in 12 private hospitals in Malaysia. A total of 652 (response rate = 61.8%) nurses participated in the study. Data were collected using self-administered questionnaire on nurses' characteristic, adverse events and events reporting, and perceived patient safety.

    RESULTS: Patient and family complaints events were the most common adverse events in Malaysian private hospitals as result of increased cost of care (3.24 ± 0.95) and verbal miscommunication (3.52 ± 0.87).

    CONCLUSION: Hospital size, accreditation status, teaching status, and nurse ethnicity had a mixed effect on patient safety, perceived adverse events, and events reporting. Policy makers can benefit that errors are related to several human and system related factors. Several system reforms and multidisciplinary efforts were recommended for optimizing health, healthcare and preventing patient harm.

    Matched MeSH terms: Hospital Costs/statistics & numerical data
  5. Lee KY, Ong TK, Low EV, Liow SY, Anchah L, Hamzah S, et al.
    BMJ Open, 2017 05 28;7(5):e014307.
    PMID: 28552843 DOI: 10.1136/bmjopen-2016-014307
    OBJECTIVES: Limitations in the quality and access of cost data from low-income and middle-income countries constrain the implementation of economic evaluations. With the increasing prevalence of coronary artery disease in Malaysia, cost information is vital for cardiac service expansion. We aim to calculate the hospitalisation cost of percutaneous coronary intervention (PCI), using a data collection method customised to local setting of limited data availability.

    DESIGN: This is a cross-sectional costing study from the perspective of healthcare providers, using top-down approach, from January to June 2014. Cost items under each unit of analysis involved in the provision of PCI service were identified, valuated and calculated to produce unit cost estimates.

    SETTING: Five public cardiac centres participated. All the centres provide full-fledged cardiology services. They are also the tertiary referral centres of their respective regions.

    PARTICIPANTS: The cost was calculated for elective PCI procedure in each centre. PCI conducted for urgent/emergent indication or for patients with shock and haemodynamic instability were excluded.

    PRIMARY AND SECONDARY OUTCOME MEASURES: The outcome measures of interest were the unit costs at the two units of analysis, namely cardiac ward admission and cardiac catheterisation utilisation, which made up the total hospitalisation cost.

    RESULTS: The average hospitalisation cost ranged between RM11 471 (US$3186) and RM14 465 (US$4018). PCI consumables were the dominant cost item at all centres. The centre with daycare establishment recorded the lowest admission cost and total hospitalisation cost.

    CONCLUSIONS: Comprehensive results from all centres enable comparison at the levels of cost items, unit of analysis and total costs. This generates important information on cost variations between centres, thus providing valuable guidance for service planning. Alternative procurement practices for PCI consumables may deliver cost reduction. For countries with limited data availability, costing method tailored based on country setting can be used for the purpose of economic evaluations.

    REGISTRATION: Malaysian MOH Medical Research and Ethics Committee (ID: NMRR-13-1403-18234 IIR).

    Study site: 5 hospitals (unnamed) of which 1 is a university teaching hospital
    Matched MeSH terms: Hospital Costs/statistics & numerical data*
  6. Aljunid SM, Ali Jadoo SA
    Inquiry, 2018 2 14;55:46958018755483.
    PMID: 29436248 DOI: 10.1177/0046958018755483
    The steady growth of pharmaceutical expenditures is a major concern for health policy makers and health care managers in Malaysia. Our study examined the factors affecting the total inpatient pharmacy cost (TINPC) at the Universiti Kebangsaan Malaysia Medical Centre (UKMMC). In this retrospective study, we used 2011 administration electronic prescriptions records and casemix databases at UKMMC to examine the impact of sociodemographic, diagnostic, and drug variables on the TINPC. Bivariate and multivariate analyses of the factors associated with TINPC were conducted. The mean inpatient pharmacy cost per patient was USD 102.07 (SD = 24.76). In the multivariate analysis, length of stay (LOS; B = 0.349, P < .0005) and severity level III ( B = 0.253, P < .0005) were the primary factors affecting the TINPC. For each day increase in the LOS and each increase of a case of severity level III, there was an increase of approximately USD 11.97 and USD 171.53 in the TINPC per year, respectively. Moreover, the number of prescribed items of drugs and supplies was positively associated with the TINPC ( B = 0.081, P < .0005). Gender appears to have affected the TINPC; male patients seem to be associated with a higher TINPC than females (mean = 139.55, 95% confidence interval [CI]: 112.97-166.13, P < .001). Surgical procedures were associated with higher cost than medical cases (mean = 87.93, 95% CI: 61.00-114.85, P < .001). Malay (MYR 242.02, SD = 65.37) and Chinese (MYR 214.66, SD = 27.99) ethnicities contributed to a lower TINPC compared with Indian (MYR 613.93, SD = 98.41) and other ethnicities (MYR 578.47, SD = 144.51). A longer hospitalization period accompanied by major complications and comorbidities had the greatest influence on the TINPC.
    Matched MeSH terms: Hospital Costs/statistics & numerical data*
Filters
Contact Us

Please provide feedback to Administrator (afdal@afpm.org.my)

External Links