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  1. Gan Kim Soon P, Lim SK, Rampal S, Su TT
    PLoS One, 2019;14(8):e0220411.
    PMID: 31404075 DOI: 10.1371/journal.pone.0220411
    INTRODUCTION: End-stage renal disease (ESRD) is increasing globally, and renal transplantation (RT) is the preferred renal replacement therapy to treat ESRD. Internationally, there are only a few countries with RT rates above 50 per million population (pmp), while most of the countries have RT rates between 30-40 pmp. The low- and middle-income countries (LMIC) makes up the majority for the RT rates below 20 pmp in which Malaysia belongs to despite its increasing ESRD rates. There is a need to explore the barriers to access RT with targeted solutions to improve the RT rates and service in LMIC. Thus, a qualitative study was undertaken in Malaysia to address this issue.

    METHOD: A qualitative methodological approach was performed between March-May 2018. Semi-structured interviews were used to explore current RT policy and service availability. Key-informants were identified from a detailed stakeholder analysis of RT system in Malaysia. Interviews were digitally audio-recorded, transcribed verbatim, coded with ATLAS.ti software and underwent thematic analysis thoroughly.

    RESULTS: Eight key-informants participated in the study. Barriers and related solutions were classified using the socio-ecological model (SEM). As reported, the barriers and solutions of RT in Malaysia are the results of a complex interplay of personal, cultural, and environmental factors. Key barriers are linked to public's attitude and perception towards RT and the unaccommodating practices in the healthcare fraternity for RT. Key-informants provided a systematic solution that shed light on how RT could be improved at each SEM level via effective communication, education and inter-agency collaboration.

    CONCLUSION: The SEM provided a framework to foster a better understanding of current practice, barriers, and solutions to RT in Malaysia. This study is the first to explore the barriers and related solutions to RT comprehensively as a whole. Implications of these findings could prompt a policy change for a better RT service delivery model not just for Malaysia but also for other LMIC. Further stakeholder engagement and evaluation of the systems are required to provide insight into best practices that will help to improve the RT rates and service in Malaysia.

  2. Gan Kim Soon P, Rampal S, Lim SK, Su TT
    PLoS One, 2023;18(4):e0284607.
    PMID: 37075033 DOI: 10.1371/journal.pone.0284607
    INTRODUCTION: As the rate of end-stage kidney disease rises, there is an urgent need to consider the catastrophic health expenditure of post-transplantation care. Even a small amount of out-of-pocket payment for healthcare can negatively affect households' financial security. This study aims to determine the association between socioeconomic status and the prevalence of catastrophic health expenditure in post-transplantation care.

    METHOD: A multi-centre cross-sectional survey was conducted in person among 409 kidney transplant recipients in six public hospitals in the Klang Valley, Malaysia. Catastrophic health expenditure is considered at 10% out-of-pocket payment from household income used for healthcare expenditure. The association of socioeconomic status with catastrophic health expenditure is determined via multiple logistic regression analysis.

    RESULTS: 93 kidney transplant recipients (23.6%) incurred catastrophic health expenditures. Kidney transplant recipients in the Middle 40% (RM 4360 to RM 9619 or USD 1085.39 -USD 2394.57) and Bottom 40% (RM 9619 or > USD 2394.57) income group. Kidney transplant recipients in the Bottom 40% and Middle 40% income groups were more susceptible to catastrophic health expenditure at 2.8 times and 3.1 times compared to higher-income groups, even under the care of the Ministry of Health.

    CONCLUSION: Universal health coverage in Malaysia cannot address the burden of out-of-pocket healthcare expenditure on low-income Kidney transplant recipients for long-term post-transplantation care. Policymakers must reexamine the healthcare system to protect vulnerable households from catastrophic health expenditures.

  3. Peter Gan Kim Soon, Sanjay Rampal, Lim Soo Kun, Tin Tin Su
    MyJurnal
    Introduction: Low socio-economic status (SES) has been associated with poorer access and worse outcome in kid-ney transplantation (KT) for high-income countries. In contrast, relatively little is known about the KT access and outcome between the socio-economic gradient in Malaysia, which is a low- and middle-income country. The aim is to determine the association of SES with access and outcome of kidney transplantation in Malaysia. Methods: We examined the Malaysian National Renal Registry for kidney transplant candidates listed between 2002 to 2011. Cox’s regression was used to assess associations of SES with transplant access and outcome (survival). Results: 1234 patients were transplanted in 2002-2011 after excluding pediatric patients and multiple transplantations. The mean age of patients was 42.3 ± 12.3 years, 789 (63.9%) were male and 797 (65.0%) were of Chinese ethnicity. After multivariate adjustment, the highest income group were 20% less likely to access KT compared the lowest income group (adjusted HR=0.80, CI: [0.62, 1.04] producing trend for P-Value = 0.001. While patient with highest education were 50% more likely to survive compared to patient with lowest education (adjusted HR=0.50, CI: [0.34, 0.73] producing trend for P-Value < 0.001. Conclusion: Even in a healthcare system that is almost achieving universal health coverage, disparities exist in both extremes of the socio-economic gradient for the access and outcomes for KT in Malaysia. Reducing the SES disparities in KT will require policy initiatives addressing the components of SES (income, education, and employment) as well as the pathways by which this affect the health of KT patient.
  4. Peter Gan Kim Soon, Sanjay Rampal, Lim Soo Kun, Tin Tin Su
    MyJurnal
    Introduction: Kidney transplantation (KT) is the preferred end-stage renal disease (ESRD) treatment because it pro-vides a better survival rate, quality of life as well as a cheaper alternative. However, Malaysia’s KT rates is consis-tently low considering that ESRD rates have been increasing exponentially. With only four hospitals performing KT, there’s a gap to indicate a lack of evaluation in KT system of Malaysia. Qualitative study was undertaken to explore and describe the barriers and solutions improve the rates and service of KT in Malaysia. Methods: Semi-structured interviews adopted as qualitative methodological approach to explore current KT policy and service in Malaysia be-tween March – May 2018 in Kuala Lumpur. Eight key-informants selected using stakeholder analysis and informed consent were obtained. Interviews were digitally audio-recorded, transcribed verbatim and analysed using thematic analysis. Results: Barriers and solutions of Malaysia’s KT are the results of complex interplay of personal, cultural, and environmental factors that can be categorized and described using the five levels of influence conceptualized by the socio-ecological model (SEM). Guidance for developing culturally appropriate and sensitive interventional strategies was elicited from the key informants’ experiences to improve KT rate and services in Malaysia. Conclusion:Malaysia is experiencing very low rate of KT compared to other countries. The use of SEM provided a framework to foster a better understanding of current practice, barriers and solutions to KT in Malaysia. Implications of these find-ings could prompt policy change for better KT service delivery model. Further stakeholder engagement and evalua-tion is required to align best practices to improve KT rates and service in Malaysia that is comparable to high-income countries.
  5. Chang Sim Vui, Chin Kim On, Gan Kim Soon, Rayner Alfred, Patricia Anthony
    MyJurnal
    This paper investigates the accuracy of Feedforward Neural Network (FFNN) with different external parameters in predicting the closing price of a particular stock. Specifically, the feedforward neural network was trained using Levenberg-Marquardt backpropagation algorithm to forecast the CIMB stock’s closing price in the Kuala Lumpur Stock exchange (KLSE). The results indicate that the use of external parameters can improve the accuracy of the stock’s closing price.
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