scholarly journals Economic impact analysis of an end-of-life programme for nursing home residents in Singapore

2013 ◽  
Vol 13 (8) ◽  
Author(s):  
W. Teo ◽  
A. Govinda-Raj ◽  
C. Ng ◽  
I. Leong
2014 ◽  
Vol 28 (5) ◽  
pp. 430-437 ◽  
Author(s):  
W-S Kelvin Teo ◽  
Anusha Govinda Raj ◽  
Woan Shin Tan ◽  
Charis Wei Ling Ng ◽  
Bee Hoon Heng ◽  
...  

2020 ◽  
Vol 24 (1) ◽  
pp. 47-56
Author(s):  
Ove Oklevik ◽  
Grzegorz Kwiatkowski ◽  
Mona Kristin Nytun ◽  
Helene Maristuen

The quality of any economic impact assessment largely depends on the adequacy of the input variables and chosen assumptions. This article presents a direct economic impact assessment of a music festival hosted in Norway and sensitivity analyses of two study design assumptions: estimated number of attendees and chosen definition (size) of the affected area. Empirically, the article draws on a state-of-the-art framework of an economic impact analysis and uses primary data from 471 event attendees. The results show that, first, an economic impact analysis is a complex task that requires high precision in assessing different monetary flows entering and leaving the host region, and second, the study design assumptions exert a tremendous influence on the final estimation. Accordingly, the study offers a fertile agenda for local destination marketing organizers and event managers on how to conduct reliable economic impact assessments and explains which elements of such analyses are particularly important for final estimations.


2020 ◽  
Author(s):  
Carishma Gokhale-Welch ◽  
James McCall ◽  
David Keyser ◽  
Alexandra Aznar ◽  
Dr. Darghouth

2021 ◽  
Vol 20 (1) ◽  
Author(s):  
Xinyi Xu ◽  
Shu-Wen Tu ◽  
Chia-Chin Lin

Abstract Background The proportion of hospital deaths has declined in the past few decades, while the proportions of nursing home deaths have increased. This trend of increasing deaths in long-term care facilities underlines the importance of improving end-of-life care provisions in these settings to meet individual preferences and needs. Under these circumstances, a comprehensive understanding of end-of-life care preferences in local nursing home residents can help healthcare professionals and policymakers develop strategies to increase the advance directive completion rate and quality of care. This study aimed to explore and compare advance directive and end-of-life care preferences of nursing home residents in Hong Kong and Taiwan. Methods A structured questionnaire was developed by the research team to investigate advance directive and end-of-life care preferences in older Chinese nursing home residents. Nursing home residents with frail or pre-frail status and over the age of 64 were invited to participate in the study, and information on demographics, functional status, advance directive experiences, and end-of-life care expectations was collected through questionnaire interviews. Results A total of 325 eligible participants from 32 facilities completed the survey, including 238 older residents in Hong Kong and 87 in Taiwan. A significantly lower proportion of the Hong Kong residents had completed an advance directive compared with the Taiwanese (3 vs. 13%, p = 0.001). Among participants who did not have an advance directive, 46% of the Taiwanese participants said they would consider completing one in the future, compared with 20% of the Hong Kong participants (p < 0.001). A total of 79% of the Hong Kong participants and 80% of the Taiwanese participants responded that prolonging life in the given hypothetical dying scenario was “not important” (p = 0.76). Only 14% of participants in Hong Kong and 18% of participants in Taiwan reported prior occurrence of end-of-life care discussions with family members or health professionals (p = 0.37). Conclusions This paper adds evidence in support of improving end-of-life communication and the advance directive completion rate in nursing homes in Hong Kong and Taiwan. Further research is necessary to explore cross-cultural differences in end-of-life preferences and its applications in predicting decision-making and the quality of end-of-life care.


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