General Support for Disaster Assistance Measure

1999 ◽  
Author(s):  
Linda J. Skitka
Author(s):  
H. Wayne Nelson ◽  
Bo Kyum Yang ◽  
F. Ellen Netting ◽  
Erin Monahan

AbstractThe high elder care death toll of Hurricane Katrina in 2005, pushed the federally mandated Long-Term Care Ombudsman Program (LTCOP) into the unsought and unforeseen realm of disaster preparedness. This new role was an extension of the LTCOP’s historic resident’s rights investigative case advocacy. To assess if, how, and to what extent local ombudsmen adapted to this new function, 102 local LTCOP leaders completed a telephone survey based on the CMS Emergency Planning Checklist. This assessed their own and their programs’: (a) readiness to help facilities reduce disaster threats to residents, (b) familiarity with relevant disaster laws, rules, and resources; (c) readiness to help residents through the disaster cycle; and (d) levels of disaster training and/or their plans to provide such training to their staff and LTC stakeholders. Forty-two respondents (41.13%) had experienced a public disaster but over half or those responding (n = 56, 54.90%) felt fairly to somewhat prepared to help in a public crisis. After being ready to work away from their office during a crisis ($\overline{x}$ = 4.14, SD = 1.00) respondents felt most prepared “to assist during nursing home emergency closure and evacuation” ($\overline{x}$ = 3.86, SD = 1.09). t-tests revealed that respondents with a disaster experience were significantly more prepared in all assessed dimensions than as those without disaster experience. The study highlights the training needs of ombudsmen in high risk areas to better prepare them for disaster mitigation in nursing homes.


2017 ◽  
Vol 63 (2) ◽  
pp. 252-264
Author(s):  
Navreet Kaur ◽  
Lhoukhokai Sitlhou

Good governance emphasises upon efficient and effective institutional mechanism, greater transparency, people’s participation, citizen-centric services and accountability. These reforms are not only limited to national governance practices but also applicable to distribution, disbursement and effectiveness of development assistance. The objective of development assistance is to provide opportunities to needy, deprived and disadvantageous sections of the society. The available data on development assistance clearly demonstrate that rich countries, Development Assistance Countries (DACs) provide financial assistance to poor countries and it has reached US$100 billion in recent years. Non-DAC bilateral assistance (NDBA) is more than US$8 billion in Office of Disaster Assistance (ODA) and US$5 billion annually in country programmable aid (CPA). Private aid (PrA) from DAC members contribute between US$58 billion and 68 billion per year. Total aid flows to developing countries currently amount to around US$180 billion annually. Multilateral aid agencies (around 230) outnumber donors and recipients combined. But the harsh reality is high percentage of illiteracy, high child mortality, gender inequality, prevalence of corruption and exclusion of needy people from the development process. The examination of the process and procedures involved in development process revealed that there are many challenges in the process adopted for allocation, methodological limitations, evaluation limitation, lack of coordination among multiple agencies, political compulsions of donor and recipient countries, transparency, accountability and multidimensional global financial markets compulsions. Certain measures can make development more inclusive and sustainable. Collective efforts of all agencies are the need of the hour to achieve the targets of sustainable development. Coordination among multiple agencies, capacity building of target population and involvement of private agencies in the development process will pave the way for sustainable development.


2013 ◽  
Vol 26 (1) ◽  
pp. 31-43 ◽  
Author(s):  
Miharu Nakanishi ◽  
Taeko Nakashima ◽  
Yukako Yamaoka ◽  
Keiko Hada ◽  
Hideaki Tanaka

2010 ◽  
Vol 33 (6) ◽  
pp. 447-448
Author(s):  
Cindy Hamon-Hill ◽  
John Barresi

AbstractWe focus on the role that motor mimicry plays in the SIMS model when interpreting whether a facial emotional expression is appropriate to an eliciting context. Based on our research, we find general support for the SIMS model in these situations, but with some qualifications on how disruption of motor mimicry as a process relates to speed and accuracy in judgments.


Author(s):  
Jesús Glaz-Fontes

Amid increasing expectations for socioeconomic relevance, higher education confronts, in many countries, a similar set of challenges: declining general-support levels linked with more performance-based funding, expanded enrollment demand, an increasingly knowledge-based and global economy, and a more intense managerialism. While giving unprecedented centrality to academic work, deteriorating conditions of work and of increased accountability has placed more performance pressure on the faculty.


Resilience ◽  
2016 ◽  
Vol 4 (3) ◽  
pp. 182-201 ◽  
Author(s):  
George Oliver Rogers ◽  
Eric K. Bardenhagen ◽  
Paula Lorente

2019 ◽  
Author(s):  
Tom Mueller ◽  
Ann R. Tickamyer

Understanding rural resident support for various forms of natural resource related economic development has been a common research topic in rural sociology. However, the vast majority of research has only evaluated support for one form of natural resource use at a time. The little research that has explored support for a wide variety of uses has found that residents are likely to support many of the suggested forms of development. We assessed rural resident support for seven forms of natural resource development: commercial logging, natural gas, mining, real estate, wind energy, tourism, and outdoor recreation. Using social exchange theory, this study examines the influence of perceived impacts of development, industry trust, and perceived industry power on general support for the seven forms of natural resource-related economic development using a fixed effects generalized linear model among a sample of residents of rural Pennsylvania communities. Additionally, we use mixed logit discreet choice modeling to evaluate the drivers of relative support, meaning a stated preference for one form of development over other possible options. The drivers of general support and relative support were similar, with trust in industry and impacts to quality of life emerging as the primary drivers of both.


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