Displaying publications 21 - 40 of 40 in total

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  1. Hishan SS, Sasmoko, Khan A, Ahmad J, Hassan ZB, Zaman K, et al.
    Environ Sci Pollut Res Int, 2019 Jun;26(16):16503-16518.
    PMID: 30980369 DOI: 10.1007/s11356-019-05056-7
    The Sub-Saharan Africa (SSA) is far lag behind the sustainable targets that set out in the United Nation's Sustainable Development Goals (SDGs), which is highly needed to embark the priorities by their member countries to devise sustainable policies for accessing clean technologies, energy demand, finance, and food production to mitigate high-mass carbon emissions and conserve environmental agenda in the national policy agenda. The study evaluated United Nation's SDGs for environmental conservation and emission reduction in the panel of 35 selected SSA countries, during a period of 1995-2016. The study further analyzed the variable's relationship in inter-temporal forecasting framework for the next 10 years' time period, i.e., 2017-2026. The parameter estimates for the two models, i.e., CO2 model and PM2.5 models are analyzed by Generalized Method of Moment (GMM) estimator that handle possible endogeneity issue from the given models. The results rejected the inverted U-shaped Environmental Kuznets Curve (EKC) for CO2 emissions, while it supported for PM2.5 emissions with a turning point of US$5540 GDP per capita in constant 2010 US$. The results supported the "pollution haven hypothesis" for CO2 emissions, while this hypothesis is not verified for PM2.5 emissions. The major detrimental factors are technologies, FDI inflows, and food deficit that largely increase carbon emissions in a panel of SSA countries. The IPAT hypothesis is not verified in both the emissions; however, population density will largely influenced CO2 emissions in the next 10 years' time period. The PM2.5 emissions will largely be influenced by high per capita income, followed by trade openness, and technologies, over a time horizon. Thus, the United Nation's sustainable development agenda is highly influenced by socio-economic and environmental factors that need sound action plans by their member countries to coordinate and collaborate with each other and work for Africa's green growth agenda.
    Matched MeSH terms: Gross Domestic Product/trends; Gross Domestic Product/statistics & numerical data
  2. Nazri A, Mazlan N, Muharam F
    PLoS One, 2018;13(12):e0208501.
    PMID: 30571683 DOI: 10.1371/journal.pone.0208501
    Rice is a staple food in Asia and it contributes significantly to the Gross Domestic Product (GDP) of Malaysia and other developing countries. Brown Planthopper (BPH) causes high levels of economic loss in Malaysia. Identification of BPH presence and monitoring of its abundance has been conducted manually by experts and is time-consuming, fatiguing and tedious. Automated detection of BPH has been proposed by many studies to overcome human fallibility. However, all studies regarding automated recognition of BPH are investigated based on intact specimen although most of the specimens are imperfect, with missing parts have distorted shapes. The automated recognition of an imperfect insect image is more difficult than recognition of the intact specimen. This study proposes an automated, deep-learning-based detection pipeline, PENYEK, to identify BPH pest in images taken from a readily available sticky pad, constructed by clipping plastic sheets onto steel plates and spraying with glue. This study explores the effectiveness of a convolutional neural network (CNN) architecture, VGG16, in classifying insects as BPH or benign based on grayscale images constructed from Euclidean Distance Maps (EDM). The pipeline identified imperfect images of BPH with an accuracy of 95% using deep-learning's hyperparameters: softmax, a mini-batch of 30 and an initial learning rate of 0.0001.
    Matched MeSH terms: Gross Domestic Product
  3. Furuoka F, Hoque MZ, Jacob RI, Ziegenhain P
    Health Econ Policy Law, 2020 Oct;15(4):458-476.
    PMID: 30968812 DOI: 10.1017/S1744133119000197
    The Sustainable Development Goals set by the United Nations recognize the importance of making progress in the eradication and treatment of sexually transmitted deceases (STD). STD are among the most widespread diseases in the world and have the highest prevalence in Sub-Saharan Africa. The current study explored the associations between the allocation of the development assistance for health (DAH) in 54 African countries and key development indicators - STD incidence, Gross Domestic Product per capita, health expenditure, and life expectancy at birth. It employed descriptive statistical methods, the matrix scatter plot analysis and the Pearson correlation test for this purpose. The findings indicated that there was a considerable increase in the volume of the DAH given to control and prevent STD in Africa over the period of 2002-2011. A statistically significant positive association was detected between the STD incidence and the health aid allocations. At the same time, the imbalance in the distribution of the health aid between the major and minor aid recipients in the continent increased. The study concludes by discussing policy implications that can be drawn from these findings.
    Matched MeSH terms: Gross Domestic Product
  4. Mohd Aqmin Abdul Wahab, Adzleen Mohmood, Nur Khaliesah Jamadon, Amir Syahir
    MyJurnal
    The trend of global under-five child mortality rate showed a steady decrease at -3.14% per year
    approaching the United Nations millennium development goals target (-4.0% reduction per year
    from 1990-2015). This rate is usually inversely proportional to the nations GDP. However, the
    progress in the recent years (2006-2012) in Malaysia has raised a disturbing concern with an
    annual average increment of +0.81% per year. Thus, there is an urgent need to identify the
    reasons of such risky ecosystem. By analyzing recorded data on river pollution from 2007-
    2012, we found that river pollution has high correlation with the gross domestic products, not at
    the same year, but for two years prior that indicates a lag time. We also found that under-five
    child mortality has strong correlation with the river pollutions. The development-pollutionhealth
    triangular cycle needs to be put in a balanced to ensure the nation prosperity and
    sustainability of the nation.
    Matched MeSH terms: Gross Domestic Product
  5. Ng SC, Kaplan GG, Tang W, Banerjee R, Adigopula B, Underwood FE, et al.
    Am J Gastroenterol, 2019 01;114(1):107-115.
    PMID: 30177785 DOI: 10.1038/s41395-018-0233-2
    INTRODUCTION: Living in an urban environment may increase the risk of developing inflammatory bowel disease (IBD). It is unclear if this observation is seen globally. We conducted a population-based study to assess the relationship between urbanization and incidence of IBD in the Asia-Pacific region.

    METHODS: Newly diagnosed IBD cases between 2011 and 2013 from 13 countries or regions in Asia-Pacific were included. Incidence was calculated with 95% confidence interval (CI) and pooled using random-effects model. Meta-regression analysis was used to assess incidence rates and their association with population density, latitude, and longitude.

    RESULTS: We identified 1175 ulcerative colitis (UC), 656 Crohn's disease (CD), and 37 IBD undetermined (IBD-U). Mean annual IBD incidence per 100 000 was 1.50 (95% CI: 1.43-1.57). India (9.31; 95% CI: 8.38-10.31) and China (3.64; 95% CI, 2.97-4.42) had the highest IBD incidence in Asia. Incidence of overall IBD (incidence rate ratio [IRR]: 2.19; 95% CI: 1.01-4.76]) and CD (IRR: 3.28; 95% CI: 1.83-9.12) was higher across 19 areas of Asia with a higher population density. In China, incidence of IBD (IRR: 2.37; 95% CI: 1.10-5.16) and UC (IRR: 2.63; 95% CI: 1.2-5.8) was positively associated with gross domestic product. A south-to-north disease gradient (IRR: 0.94; 95% CI: 0.91-0.98) was observed for IBD incidence and a west-to-east gradient (IRR: 1.14; 95% CI: 1.05-1.24) was observed for CD incidence in China. This study received IRB approval.

    CONCLUSIONS: Regions in Asia with a high population density had a higher CD and UC incidence. Coastal areas within China had higher IBD incidence. With increasing urbanization and a shift from rural areas to cities, disease incidence may continue to climb in Asia.

    Matched MeSH terms: Gross Domestic Product
  6. Teoh SL, Chong HY, Abdul Aziz S, Chemi N, Othman AR, Md Zaki N, et al.
    Neuropsychiatr Dis Treat, 2017;13:1979-1987.
    PMID: 28814869 DOI: 10.2147/NDT.S137140
    INTRODUCTION: Schizophrenia (SCZ) is a highly debilitating disease despite its low prevalence. The economic burden associated with SCZ is substantial and mainly attributed to productivity loss. To improve the understanding of economic burden of SCZ in the low- and middle-income country regions, we aimed to determine the economic burden of SCZ in Malaysia.

    METHODS: A retrospective study was conducted using a prevalence-based approach from a societal perspective in Malaysia with a 1 year period from 2013. We used micro-costing technique with bottom-up method and included direct medical cost, direct non-medical cost, and indirect cost. The main data source was medical chart review which was conducted in Hospital Kuala Lumpur (HKL). The medical charts were identified electronically by matching the unique patient's identification number registered under the National Mental Health Schizophrenia Registry and the list of patients in HKL in 2013. Other data sources were government documents, literatures, and local websites. To ensure robustness of result, probabilistic sensitivity analysis was conducted.

    RESULTS: The total estimated number of treated SCZ cases in Malaysia in 2015 was 15,104 with the total economic burden of USD 100 million (M) which was equivalent to 0.04% of the national gross domestic product. On average, the mean cost per patient was USD 6,594. Of the total economic burden of SCZ, 72% was attributed to indirect cost, costing at USD 72M, followed by direct medical cost (26%), costing at USD 26M, and direct non-medical cost (2%), costing at USD 1.7M.

    CONCLUSION: This study highlights the magnitude of economic burden of SCZ and informs the policy-makers that there is an inadequate support for SCZ patients. More resources should be allocated to improve the condition of SCZ patients and to reduce the economic burden.

    Matched MeSH terms: Gross Domestic Product
  7. Ahsan A, Afin R, Amalia N, Hindriyani M, Jacinda AR, Kramer E
    Global Health, 2022 Feb 05;18(1):11.
    PMID: 35123526 DOI: 10.1186/s12992-022-00810-y
    BACKGROUND: Indonesia's stagnated progress towards tobacco control could be addressed through the implementation of a comprehensive national framework, such as the World Health Organization's (WHO) Framework Convention of Tobacco Control (FCTC). However, national tobacco industry supporters argue that accepting the FCTC will have negative economic implications for the country. These arguments have, thus far, discouraged the Indonesian government from ratifying the FCTC. Drawing from an analysis of the impact of the FCTC on other countries' smoking rates and Gross Domestic Product (GDP) per capita, this study offers empirical evidence against industry arguments concerning the potential negative economic impacts of FCTC adoption. This study applies a two stage least square estimation strategy to unbalanced panel data at country level. In the first stage we estimate the impact of FCTC ratification on smoking rates, and in the second step, we estimate the influence of smoking activity on macroeconomic performance.

    RESULTS: The result of this study shows that FCTC ratification has a negative impact on a country's smoking prevalence. While FCTC ratification positively correlates with reduced smoking prevalence, a decline in smoking prevalence is not related to a decline in GDP per capita.

    CONCLUSIONS: The results of this study shows that FCTC ratification, which can be an important driver for more effective tobacco control, does not necessarily have a negative impact on the economy. Instead, FCTC ratification may be beneficial for both health and economic outcomes, as it provides comprehensive guidance for reducing smoking prevalence that take into account social and economic factors.

    Matched MeSH terms: Gross Domestic Product
  8. Hodges JE, Vamshi R, Holmes C, Rowson M, Miah T, Price OR
    Integr Environ Assess Manag, 2014 Apr;10(2):237-46.
    PMID: 23913410 DOI: 10.1002/ieam.1476
    Environmental risk assessment of chemicals is reliant on good estimates of product usage information and robust exposure models. Over the past 20 to 30 years, much progress has been made with the development of exposure models that simulate the transport and distribution of chemicals in the environment. However, little progress has been made in our ability to estimate chemical emissions of home and personal care (HPC) products. In this project, we have developed an approach to estimate subnational emission inventory of chemical ingredients used in HPC products for 12 Asian countries including Bangladesh, Cambodia, China, India, Indonesia, Laos, Malaysia, Pakistan, Philippines, Sri Lanka, Thailand, and Vietnam (Asia-12). To develop this inventory, we have coupled a 1 km grid of per capita gross domestic product (GDP) estimates with market research data of HPC product sales. We explore the necessity of accounting for a population's ability to purchase HPC products in determining their subnational distribution in regions where wealth is not uniform. The implications of using high resolution data on inter- and intracountry subnational emission estimates for a range of hypothetical and actual HPC product types were explored. It was demonstrated that for low value products (<500 US$ per capita/annum required to purchase product) the maximum deviation from baseline (emission distributed via population) is less than a factor of 3 and it would not result in significant differences in chemical risk assessments. However, for other product types (>500 US$ per capita/annum required to purchase product) the implications on emissions being assigned to subnational regions can vary by several orders of magnitude. The implications of this on conducting national or regional level risk assessments may be significant. Further work is needed to explore the implications of this variability in HPC emissions to enable the HPC industry and/or governments to advance risk-based chemical management policies in emerging markets.
    Matched MeSH terms: Gross Domestic Product/statistics & numerical data*
  9. Masood M, Masood Y, Newton T
    Caries Res, 2012;46(6):581-8.
    PMID: 23006794 DOI: 10.1159/000342170
    The aim of this study was to examine the impact that national income and income inequality in high and low income countries have on the relationship between dental caries and sugar consumption.
    Matched MeSH terms: Gross Domestic Product*
  10. Mellor D, Fuller-Tyszkiewicz M, McCabe MP, Ricciardelli LA, Skouteris H, Mussap AJ
    Ethn Health, 2014;19(5):548-64.
    PMID: 24261816 DOI: 10.1080/13557858.2013.857761
    OBJECTIVE: This study aimed to identify cultural-level variables that may influence the extent to which adolescents from different cultural groups are dissatisfied with their bodies.
    DESIGN: A sample of 1730 male and 2000 female adolescents from Australia, Fiji, Malaysia, Tonga, Tongans in New Zealand, China, Chile, and Greece completed measures of body satisfaction, and the sociocultural influences on body image and body change questionnaire, and self-reported height and weight. Country gross domestic product and national obesity were recorded using global databases.
    RESULTS: Prevalence of obesity/overweight and cultural endorsement of appearance standards explained variance in individual-level body dissatisfaction (BD) scores, even after controlling for the influence of individual differences in body mass index and internalization of appearance standards.
    CONCLUSIONS: Cultural-level variables may account for the development of adolescent BD.
    KEYWORDS: GDP; adolescents; body dissatisfaction; culture; sociocultural influences
    Matched MeSH terms: Gross Domestic Product*
  11. Ruger JP, Chawarski M, Mazlan M, Luekens C, Ng N, Schottenfeld R
    Health Serv Res, 2012 Apr;47(2):865-87.
    PMID: 22091732 DOI: 10.1111/j.1475-6773.2011.01335.x
    Develop and apply new costing methodologies to estimate costs of opioid dependence treatment in countries worldwide.
    Matched MeSH terms: Gross Domestic Product/statistics & numerical data
  12. Younes MK, Nopiah ZM, Basri NE, Basri H, Abushammala MF, Maulud KN
    Environ Monit Assess, 2015 Dec;187(12):753.
    PMID: 26573690 DOI: 10.1007/s10661-015-4977-5
    Most of the developing countries have solid waste management problems. Solid waste strategic planning requires accurate prediction of the quality and quantity of the generated waste. In developing countries, such as Malaysia, the solid waste generation rate is increasing rapidly, due to population growth and new consumption trends that characterize society. This paper proposes an artificial neural network (ANN) approach using feedforward nonlinear autoregressive network with exogenous inputs (NARX) to predict annual solid waste generation in relation to demographic and economic variables like population number, gross domestic product, electricity demand per capita and employment and unemployment numbers. In addition, variable selection procedures are also developed to select a significant explanatory variable. The model evaluation was performed using coefficient of determination (R(2)) and mean square error (MSE). The optimum model that produced the lowest testing MSE (2.46) and the highest R(2) (0.97) had three inputs (gross domestic product, population and employment), eight neurons and one lag in the hidden layer, and used Fletcher-Powell's conjugate gradient as the training algorithm.
    Matched MeSH terms: Gross Domestic Product
  13. Chong HY, Teoh SL, Wu DB, Kotirum S, Chiou CF, Chaiyakunapruk N
    Neuropsychiatr Dis Treat, 2016;12:357-73.
    PMID: 26937191 DOI: 10.2147/NDT.S96649
    BACKGROUND: Schizophrenia is one of the top 25 leading causes of disability worldwide in 2013. Despite its low prevalence, its health, social, and economic burden has been tremendous, not only for patients but also for families, caregivers, and the wider society. The magnitude of disease burden investigated in an economic burden study is an important source to policymakers in decision making. This study aims to systematically identify studies focusing on the economic burden of schizophrenia, describe the methods and data sources used, and summarize the findings of economic burden of schizophrenia.

    METHODS: A systematic review was performed for economic burden studies in schizophrenia using four electronic databases (Medline, EMBASE, PsycINFO, and EconLit) from inception to August 31, 2014.

    RESULTS: A total of 56 articles were included in this review. More than 80% of the studies were conducted in high-income countries. Most studies had undertaken a retrospective- and prevalence-based study design. The bottom-up approach was commonly employed to determine cost, while human capital method was used for indirect cost estimation. Database and literature were the most commonly used data sources in cost estimation in high-income countries, while chart review and interview were the main data sources in low and middle-income countries. Annual costs for the schizophrenia population in the country ranged from US$94 million to US$102 billion. Indirect costs contributed to 50%-85% of the total costs associated with schizophrenia. The economic burden of schizophrenia was estimated to range from 0.02% to 1.65% of the gross domestic product.

    CONCLUSION: The enormous economic burden in schizophrenia is suggestive of the inadequate provision of health care services to these patients. An informed decision is achievable with the increasing recognition among public and policymakers that schizophrenia is burdensome. This results in better resource allocation and the development of policy-oriented research for this highly disabling yet under-recognized mental health disease.

    Matched MeSH terms: Gross Domestic Product
  14. Mohd-Tahir NA, Paraidathathu T, Li SC
    SAGE Open Med, 2015;3:2050312115596864.
    PMID: 26770795 DOI: 10.1177/2050312115596864
    Malaysia inherits a highly subsidized tax-based public healthcare system complemented by a fee-for-service private sector. Population health in Malaysia has considerably improved since independence using a relatively small amount of gross domestic product (~4%). Brain drain of highly specialized personnel, growth in healthcare spending, demographic and disease pattern changes and increase in patients' demands and expectations towards better medical care are exerting pressure on the sustainability of the system to continuously provide efficient and effective services at relatively low cost. Malaysia has adopted and implemented some of the quality use of medicine concepts such as National Essential Medicine List, health technology assessment and promotion of generic medicines in their health policy, but so far the results may not be optimal. Activities to further promote these strategies are needed for successful implementation to achieve more positive and sustained beneficial outcomes. Better strategic planning, management and collaboration between various stakeholders, considering the needs and barriers of the strategies, are important to ensure effective implementation of the strategies. More emphasis should be placed upon more equitable and rational distribution of healthcare resources to cater for rapid urbanization. Additionally, a sustainable health financing structure that is more progressive and does not encourage moral hazard should be established. In conclusion, Malaysia has achieved good outcomes in population health with relatively low financial inputs since independence. However, changes in the overall environment have created issues which would threaten the long-term viability of the healthcare system if not tackled properly. The numbers of internationally trialled strategies could be used to deal with these challenges. In addition, coordinated implementation of these strategies and effective engagement and communication between various stakeholders are necessary to further strengthen the Malaysian healthcare system effectively.
    Matched MeSH terms: Gross Domestic Product
  15. Ismail A
    Nature, 2018 06;558(7711):514-515.
    PMID: 29950635 DOI: 10.1038/d41586-018-05509-y
    Matched MeSH terms: Gross Domestic Product
  16. Solarin SA, Al-Mulali U, Ozturk I
    Environ Sci Pollut Res Int, 2018 Nov;25(31):30949-30961.
    PMID: 30182312 DOI: 10.1007/s11356-018-3060-5
    We investigate the role of military expenditure on emission in USA during the period 1960-2015. To achieve the objectives of this study, two measures of military expenditure are utilised, while several timeseries models are constructed with the gross domestic product (GDP) per capita, population, energy consumption per capita, non-renewable energy consumption per capita, renewable energy consumption per capita, urbanisation, trade openness and financial development serving as additional determinants of air pollution. We also use ecological indicator as an alternative measure of pollution. Moreover, different timeseries methods are utilised including a likelihood-based approach with two structural breaks. The output of this research concluded that all the variables are cointegrated. It is found that military expenditure has mixed impact on CO2 emissions. Real GDP per capita, energy consumption per capita, non-renewable energy consumption per capita, population and urbanisation increase CO2 emissions per capita in the long-run, while renewable energy consumption, financial development and trade openness reduce it. There is also evidence for the mixed role of military expenditure, when ecological footprint is utilised as the environmental degradation index. From the output of this research, few policy recommendations are offered for the examined country.
    Matched MeSH terms: Gross Domestic Product
  17. Uddin GA, Alam K, Gow J
    Environ Sci Pollut Res Int, 2019 May;26(13):13159-13172.
    PMID: 30903468 DOI: 10.1007/s11356-019-04791-1
    The relationship between national income growth and the environment of 14 Asian economies over a 50 year period is examined using the Environmental Kuznets Curve (EKC) hypothesis. Ecological Footprint (EF) measures environmental impacts and gross domestic product (GDP) measures economic growth. It is hypothesised that increased rates of economic growth come at a cost to the natural environment. The EKC hypothesis has been mainly tested in the literature by cross-sectional or panel data methods. In this study, it is tested using time series analysis through initially examining the relationship between EF and GDP using linear, quadratic and cubic estimating OLS regression functions. In the second stage, the long-run relationship between EF and GDP is investigated using an augmented error correction trend model. There is a statistically significant cointegrated long-run relationship between the variables in most of the countries. The EKC hypothesis is supported in the case of India, Nepal, Malaysia and Pakistan with the other countries exhibiting a positive linear relationship between the two variables. Almost all error correction terms are correct in sign and significance that implies that some percentage of disequilibria in EF in the previous year adjusts back to the long-run equilibrium in the current year. Based on the long-run relationship, it is apparent that rapid economic growth has had an impact on the environment and the ecosystems of these countries over the last 50 years. Despite that, until now, not many of them have taken sufficient steps to reduce their EF or to improve their bioproductive capacity.
    Matched MeSH terms: Gross Domestic Product
  18. Van Noorden R
    Nature, 2018 06;558(7711):500-501.
    PMID: 29950637 DOI: 10.1038/d41586-018-05505-2
    Matched MeSH terms: Gross Domestic Product
  19. Lestari FB, Vongpunsawad S, Wanlapakorn N, Poovorawan Y
    J Biomed Sci, 2020 May 21;27(1):66.
    PMID: 32438911 DOI: 10.1186/s12929-020-00649-8
    BACKGROUND: Rotaviruses (RVs) are recognized as a major cause of acute gastroenteritis (AGE) in infants and young children worldwide. Here we summarize the virology, disease burden, prevalence, distribution of genotypes and seasonality of RVs, and the current status of RV vaccination in Southeast Asia (Cambodia, Indonesia, Lao People's Democratic Republic, Malaysia, Myanmar, Philippines, Singapore, Thailand, and Vietnam) from 2008 to 2018.

    METHODS: Rotavirus infection in Children in Southeast Asia countries was assessed using data from Pubmed and Google Scholars. Most countries in Southeast Asia have not yet introduced national RV vaccination programs. We exclude Brunei Darussalam, and Timor Leste because there were no eligible studies identified during that time.

    RESULTS: According to the 2008-2018 RV surveillance data for Southeast Asia, 40.78% of all diarrheal disease in children were caused by RV infection, which is still a major cause of morbidity and mortality in children under 5 years old in Southeast Asia. Mortality was inversely related to socioeconomic status. The most predominant genotype distribution of RV changed from G1P[8] and G2P[4] into the rare and unusual genotypes G3P[8], G8P[8], and G9P[8]. Although the predominat strain has changed, but the seasonality of RV infection remains unchanged. One of the best strategies for decreasing the global burden of the disease is the development and implementation of effective vaccines.

    CONCLUSIONS: The most predominant genotype distribution of RV was changed time by time. Rotavirus vaccine is highly cost effective in Southeast Asian countries because the ratio between cost per disability-adjusted life years (DALY) averted and gross domestic product (GDP) per capita is less than one. These data are important for healthcare practitioners and officials to make appropriate policies and recommendations about RV vaccination.

    Matched MeSH terms: Gross Domestic Product
  20. Bhargava V, Jasuja S, Tang SC, Bhalla AK, Sagar G, Jha V, et al.
    Nephrology (Carlton), 2021 Nov;26(11):898-906.
    PMID: 34313370 DOI: 10.1111/nep.13949
    BACKGROUND: Peritoneal dialysis (PD) as a modality of kidney replacement therapy (KRT) is largely underutilized globally. We analyzed PD utilization, impact of economic status, projected growth and impact of state policy(s) on PD growth in South Asia and Southeast Asia (SA&SEA) region.

    METHODS: The National Nephrology Societies of the region responded to a questionnaire on KRT practices. The responses were based on the latest registry data, acceptable community-based studies and societal perceptions. The representative countries were divided into high income and higher-middle income (HI & HMI) and low income and lower-middle income (LI & LMI) groups.

    RESULTS: Data provided by 15 countries showed almost similar percentage of GDP as health expenditure (4%-7%). But there was a significant difference in per capita income (HI & HMI -US$ 28 129 vs. LI & LMI - US$ 1710.2) between the groups. Even after having no significant difference in monthly cost of haemodialysis (HD) and PD in LI & LMI countries, they have poorer PD utilization as compared to HI & HMI countries (3.4% vs. 10.1%); the reason being lack of formal training/incentives and time constraints for the nephrologist while lack of reimbursement and poor general awareness of modalities has been a snag for the patients. The region expects ≥10% PD growth in the near future. Hong Kong and Thailand with 'PD first' policy have the highest PD utilization.

    CONCLUSION: Important deterrents to PD underutilization were lack of PD centric policies, lackadaisical patient/physician's attitude, lack of structured patient awareness programs, formal training programs and affordability.

    Matched MeSH terms: Gross Domestic Product
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