Organ shortage is a major concern in many countries. The objective of this paper was to investigate the factors that contribute to the low quantity of organ donation in Malaysia. The 1311 respondents in this survey came from the three main ethnic groups in Malaysia (Malay, Chinese and Indian). The survey was based on these components: The reason for not pledging to become a donor; the reason of refusing to become a donor; and whether non-fungible incentive would influence decision. The lack of information and trust were the factors that influenced the respondents to remain apathetic to organ donation. The results denote that people are unlikely to become a donor even if non-fungible incentive were provided to them. Thus, it is important for the government bodies to evaluate the programme and strategies of public education in relation to organ donation.

The family is an important factor that influences an individual's decision for organ donation. The number of studies addressing the family's role in organ donation is limited. It is imperative to explore these studies and offer recommendations that may help in addressing organ shortage. 15 studies with more than 2100 participants were selected for a systematic review. The studies were accessed by searching three databases: MEDLINE, Elsevier, and PsycINFO. This systematic review indicates that knowledge about brain death and the circumstances surrounding organ donation and transplantation are the most important factors that affect a family's decision regarding organ donation. Educational efforts targeting the family should be initiated, which can then guide the family's decision on organ donation. We suggest that educational efforts be consistent with other factors such as religious beliefs that influence the family's decision.

Introduction:

Background: This paper examined the importance and influence of post-transplantation follow-up visits on the quality-of-life (QoL) of living kidney donors in Malaysia. Methods: Based on data collected from 80 living kidney donors, the relationship between QoL and the frequency of follow-up visits was examined. QoL was measured using standard SF-8 questions to capture its different dimensions. Results: Donors in the 1991-1998 donation cohort have low QoL, especially in the domains of physical and vitality, compared with the other two cohorts (1999-2005 and 2006-2012). The mean scores showed that donors who never went for any follow-up activities visits experience low QoL in most of the categories, particularly those related to physical activities, implying the importance of follow-up activities visits in influencing the donors' QoL. Lower QoL was recorded for respondents that never received post-transplant treatment. Conclusion: Although this study found no serious post-transplant QoL issues in Malaysia, it is still important to set up a donor registry and provide free and mandatory follow-up visits for all donors in order to adequately monitor their health.

The Pabon Lasso Model is one of the most important and suitable techniques applied in evaluating the performance of hospitals. The visual representation standardizes the comparative accomplishments of hospitals which information is used by planners in effort to improve productivity of the health care system by use of three pointers namely: (i) Average Length of Stay (ALS); (ii) Bed Occupancy Rate (BOR); (iii) Bed Turnover (BTO). The purpose of this study is to evaluate performance of wards in health centers affiliated to Kampala Capital City Authority (KCCA) and Ministry of Health (MOH) during the financial year 2012-2013 constructed on Pabon Lasso Model. Data for the nine health centers and two referral hospitals was taken by the nursing sisters who were in charge. To ensure accuracy, a weekly standard report was submitted to head office and the data included: a list of wards, number of beds, admissions, deaths, discharges and inpatient days. For all government health centers and hospitals, overall, the average indicators ALS=3.63 days, BTO= 74.0 times per year and BOR=49.3% were obtained. Based on the Pabon Lasso graph, two wards are in Zone 3, two wards in Zone 4, one ward in Zone 2 and five wards in Zone 1. The performance of health centers and hospitals in Kampala were somehow poor. This represented unacceptable levels of technical deficiency.