Travel Intentions among Foreign Tourists for Medical Treatment in Malaysia: An Empirical Study

AbstractThis study essentially attempts to discover the underlying factors that might affect the foreign tourists’ intention to obtain medical treatment in Malaysia. The applicability of Theory of Planned Behaviour model provides the possibility to investigate the foreign tourists’ intention and to measure tourists’ general antecedent attitudes and feelings towards travelling abroad to seek medical treatment. The quantitative research approach has been used to conduct this study. A survey was carried out at four locations nationwide (Northern Region, Central Region, Southern Region and Eastern Region). The first generation technique was used to test and estimate the complex relationship among the variables. The proposed research model is expected to contribute to an understanding for scholars, marketers, policy makers, and practitioners on how these medical tourists formulate their intention to travel to Malaysia as a medical travel destination in order to increase the inbound market in medical tourism. This adds another contribution to the literature in the medical tourism field, reshaping the definition of medical tourism and having a more inclusive view in medical treatment highlighting the conceptual value of this study. Based on the analysis result, it can be confirmed that only attitude and subjective norm significantly influence the intention to visit for medical treatment in Malaysia, but is not significant for perceived control behaviour. The study concluded with several recommendations and insights that are useful to relevant parties such as Ministry of Tourism and Culture, Ministry of Health, Policy Maker, Public and Private Hospital Management teams as well as Travel Agencies or Companies

Global burden of 288 causes of death and life expectancy decomposition in 204 countries and territories and 811 subnational locations, 1990–2021: a systematic analysis for the Global Burden of Disease Study 2021

BACKGROUND Regular, detailed reporting on population health by underlying cause of death is fundamental for public health decision making. Cause-specific estimates of mortality and the subsequent effects on life expectancy worldwide are valuable metrics to gauge progress in reducing mortality rates. These estimates are particularly important following large-scale mortality spikes, such as the COVID-19 pandemic. When systematically analysed, mortality rates and life expectancy allow comparisons of the consequences of causes of death globally and over time, providing a nuanced understanding of the effect of these causes on global populations. METHODS The Global Burden of Diseases, Injuries, and Risk Factors Study (GBD) 2021 cause-of-death analysis estimated mortality and years of life lost (YLLs) from 288 causes of death by age-sex-location-year in 204 countries and territories and 811 subnational locations for each year from 1990 until 2021. The analysis used 56 604 data sources, including data from vital registration and verbal autopsy as well as surveys, censuses, surveillance systems, and cancer registries, among others. As with previous GBD rounds, cause-specific death rates for most causes were estimated using the Cause of Death Ensemble model-a modelling tool developed for GBD to assess the out-of-sample predictive validity of different statistical models and covariate permutations and combine those results to produce cause-specific mortality estimates-with alternative strategies adapted to model causes with insufficient data, substantial changes in reporting over the study period, or unusual epidemiology. YLLs were computed as the product of the number of deaths for each cause-age-sex-location-year and the standard life expectancy at each age. As part of the modelling process, uncertainty intervals (UIs) were generated using the 2·5th and 97·5th percentiles from a 1000-draw distribution for each metric. We decomposed life expectancy by cause of death, location, and year to show cause-specific effects on life expectancy from 1990 to 2021. We also used the coefficient of variation and the fraction of population affected by 90% of deaths to highlight concentrations of mortality. Findings are reported in counts and age-standardised rates. Methodological improvements for cause-of-death estimates in GBD 2021 include the expansion of under-5-years age group to include four new age groups, enhanced methods to account for stochastic variation of sparse data, and the inclusion of COVID-19 and other pandemic-related mortality-which includes excess mortality associated with the pandemic, excluding COVID-19, lower respiratory infections, measles, malaria, and pertussis. For this analysis, 199 new country-years of vital registration cause-of-death data, 5 country-years of surveillance data, 21 country-years of verbal autopsy data, and 94 country-years of other data types were added to those used in previous GBD rounds. FINDINGS The leading causes of age-standardised deaths globally were the same in 2019 as they were in 1990; in descending order, these were, ischaemic heart disease, stroke, chronic obstructive pulmonary disease, and lower respiratory infections. In 2021, however, COVID-19 replaced stroke as the second-leading age-standardised cause of death, with 94·0 deaths (95% UI 89·2-100·0) per 100 000 population. The COVID-19 pandemic shifted the rankings of the leading five causes, lowering stroke to the third-leading and chronic obstructive pulmonary disease to the fourth-leading position. In 2021, the highest age-standardised death rates from COVID-19 occurred in sub-Saharan Africa (271·0 deaths [250·1-290·7] per 100 000 population) and Latin America and the Caribbean (195·4 deaths [182·1-211·4] per 100 000 population). The lowest age-standardised death rates from COVID-19 were in the high-income super-region (48·1 deaths [47·4-48·8] per 100 000 population) and southeast Asia, east Asia, and Oceania (23·2 deaths [16·3-37·2] per 100 000 population). Globally, life expectancy steadily improved between 1990 and 2019 for 18 of the 22 investigated causes. Decomposition of global and regional life expectancy showed the positive effect that reductions in deaths from enteric infections, lower respiratory infections, stroke, and neonatal deaths, among others have contributed to improved survival over the study period. However, a net reduction of 1·6 years occurred in global life expectancy between 2019 and 2021, primarily due to increased death rates from COVID-19 and other pandemic-related mortality. Life expectancy was highly variable between super-regions over the study period, with southeast Asia, east Asia, and Oceania gaining 8·3 years (6·7-9·9) overall, while having the smallest reduction in life expectancy due to COVID-19 (0·4 years). The largest reduction in life expectancy due to COVID-19 occurred in Latin America and the Caribbean (3·6 years). Additionally, 53 of the 288 causes of death were highly concentrated in locations with less than 50% of the global population as of 2021, and these causes of death became progressively more concentrated since 1990, when only 44 causes showed this pattern. The concentration phenomenon is discussed heuristically with respect to enteric and lower respiratory infections, malaria, HIV/AIDS, neonatal disorders, tuberculosis, and measles. INTERPRETATION Long-standing gains in life expectancy and reductions in many of the leading causes of death have been disrupted by the COVID-19 pandemic, the adverse effects of which were spread unevenly among populations. Despite the pandemic, there has been continued progress in combatting several notable causes of death, leading to improved global life expectancy over the study period. Each of the seven GBD super-regions showed an overall improvement from 1990 and 2021, obscuring the negative effect in the years of the pandemic. Additionally, our findings regarding regional variation in causes of death driving increases in life expectancy hold clear policy utility. Analyses of shifting mortality trends reveal that several causes, once widespread globally, are now increasingly concentrated geographically. These changes in mortality concentration, alongside further investigation of changing risks, interventions, and relevant policy, present an important opportunity to deepen our understanding of mortality-reduction strategies. Examining patterns in mortality concentration might reveal areas where successful public health interventions have been implemented. Translating these successes to locations where certain causes of death remain entrenched can inform policies that work to improve life expectancy for people everywhere. FUNDING Bill & Melinda Gates Foundation

Evaluating burden and quality of life among caregivers of patients receiving peritoneal dialysis

Peritoneal dialysis (PD) is advocated as treatment of choice for most end-stage renal disease (ESRD) patients, including elderly and frail patients. It typically requires caregiver involvement to support care at home. The purpose of this study was to examine changes in burden and quality of life (QOL) in caregivers of prevalent PD patients over 12 months. Data were collected in 44 caregivers of PD patients (mean age 38.4 ± 6.3 years; 60% female) in Singapore at baseline and 12 months. Measures included demographics, the Lay Care-Giving for Adults Receiving Dialysis (LC-GAD), Zarit Burden Interview (ZBI), and the World Health Organization Quality of Life instrument (WHOQOL-BREF). Paired t-tests indicate a significant decrease in task-related aspects of caregiving (p = 0.04), particularly in relation to personal hygiene (p < 0.01), over time. Cognitive aspects of caregiving remained unchanged. Perceived burden, however, significantly increased (p < 0.01), with significantly more caregivers reporting moderate to severe caregiver burden at follow-up (28%) relative to baseline (13%; p < 0.01). There was a significant reduction in psychological health (under WHOQOL) (p = 0.01). Study findings indicate an increase in caregiver burden and a reduction in psychological health despite a reduction in task-related aspects of caregiving, supporting a further exploration of the “wear-and-tear” hypothesis among this population. Intervention strategies are needed

The Elderly Patient with End-Stage Renal Disease: Is Dialysis the Best and Only Option?

Singapore is facing an ageing population. This is reflected in the growing number of patients needing to consider starting dialysis in their golden years. In our review, we have found that there is a survival benefit for starting dialysis in our geriatric end-stage renal disease (ESRD) patient with low comorbidity. However, this comes at an expense of reduced quality of life, increased hospitalisation and reduced functional status. The decision to start or withhold dialysis in an elderly patient is a complex one and has to be considered on an individual basis with continuous discussions with the patient and loved ones. Advance Care Planning is a useful tool that can assist in this process

The Relationships between Attitudes, Subjective Norm and Hiring Intention - Does Age Make a Difference?

Objective: Malaysia is currently facing a phenomenon where a growing portion of its older population experiencing a decline in their employment participation rate. Simultaneously, most job vacancies are filled by foreign workers as a result of a labour shortage.&nbsp; One of the ways to substitute foreign workers is to utilise skilfully and experienced older workers. However, such requires the willingness of business organizations to hire these workers. Therefore, the main objective of the present study is to predict the relationship of managers’ attitudes and subjective norm with their intention to hire older workers, with age as a moderating variable. Methodology: The Theory of Planned Behaviour was identified to include the age of respondents as the moderator on the relationships between attitudes and hiring intention. Cross-sectional data were collected from managers of business organizations via personal administered quantitative surveys questionnaire. Hypotheses were tested using structural equation modelling (SEM-PLS). Results: The response rate was 78% (n=468). The research model accounted for a moderate portion of the variance in overall hiring intention (R2=0.377) and future hiring intention (R2=0.392). The findings suggested that: (1) attitudes and subjective norm are related to overall hiring intention and future hiring intention; (2) age has a moderating effect on the relationship between attitudes and overall hiring intention, but there is no moderating effect on the relationship between attitudes and future hiring intention. Implication: The empirical result has important implications for human resource strategists, academic researchers and public policymakers as it serves as an additional fuel to combat the nation's acute labour shortage by hiring able and willing older workers