“…Regarding the reasons for patients' risk perception, treatment outcome and insufficient communication were the primary reasons in the present study, which is consistent with previous studies (Song, Kim, & Han, 2013; Xie, Li, Chen, & Cui, 2017).…”
Aim: The aim of the study was to examine whether patient-provider communication interacts with treatment outcomes to influence patients' risk perception. Background: Medical uncertainties and risks are among the most serious problems faced by patients. This is exacerbated by communication failure in patient-provider relationships and poor treatment outcomes. However, we do not know how communication and treatment outcomes shape patients' risk perception and concern about uncertainty. Design: The study is a two-by-two between-subjects design. Methods: Two studies were conducted and data were collected in 2019. Each study used a different research design and different samples: Study 1 used a scenario experiment with 120 undergraduate students; and Study 2 surveyed 200 inpatients in clinical settings. Results: The convergent results found a significant interaction between patientprovider communication and treatment outcome on the perception of medical risks among the participants. Conclusion: Patient-provider communication interacts with treatment outcome to influence patients' perceived risk about uncertainties for healthcare. Clinicians and nurses should be aware of the effects of patient-provider communication on patients' risk perception in their concerns about the uncertainties of treatment and pay much more attention to good healthcare relationship building in addition to the improvement of objective treatment outcome.
“…Regarding the reasons for patients' risk perception, treatment outcome and insufficient communication were the primary reasons in the present study, which is consistent with previous studies (Song, Kim, & Han, 2013; Xie, Li, Chen, & Cui, 2017).…”
Aim: The aim of the study was to examine whether patient-provider communication interacts with treatment outcomes to influence patients' risk perception. Background: Medical uncertainties and risks are among the most serious problems faced by patients. This is exacerbated by communication failure in patient-provider relationships and poor treatment outcomes. However, we do not know how communication and treatment outcomes shape patients' risk perception and concern about uncertainty. Design: The study is a two-by-two between-subjects design. Methods: Two studies were conducted and data were collected in 2019. Each study used a different research design and different samples: Study 1 used a scenario experiment with 120 undergraduate students; and Study 2 surveyed 200 inpatients in clinical settings. Results: The convergent results found a significant interaction between patientprovider communication and treatment outcome on the perception of medical risks among the participants. Conclusion: Patient-provider communication interacts with treatment outcome to influence patients' perceived risk about uncertainties for healthcare. Clinicians and nurses should be aware of the effects of patient-provider communication on patients' risk perception in their concerns about the uncertainties of treatment and pay much more attention to good healthcare relationship building in addition to the improvement of objective treatment outcome.
“…Previous studies also addressed benefit perception of NPP in that way (e.g. [ 13 – 14 , 47 – 48 ]). In fact the feelings of personal benefits are the measuring target, which is involved in people’s.…”
Section: Discussionmentioning
confidence: 99%
“…For benefit perception, previous studies focus mainly on the contribution of NPPs in supplying power [ 13 , 14 ], getting cheaper energy [ 13 , 14 , 47 ], or regulating climate [ 14 , 48 ]. In China, during power shortage the government might increase electricity price or make resident’s house blackout to reduce electricity consumptions.…”
It is difficult to know whether different dimensions of trust have different effects on local residents’ acceptance of nuclear power plants (NPPs). In previous research such trust has been considered as a single dimensional concept. This paper divides trust into goodwill trust and competence trust, and we explore the ways in which trust affects acceptance of NPPs through structural equation modeling. A survey of 491 people was conducted in Haiyan County, China, where the Qinshan nuclear power plant is located. We find that goodwill trust is significantly correlated with competence trust, and each can indirectly promote residents’ acceptance of NPPs but by different paths. Goodwill trust improves acceptance of NPPs by decreasing risk perception, while competence trust improves acceptance of NPPs by increasing benefit perception. However, the associations between goodwill trust and benefit perception, competence trust and risk perception, are not significant.
“…One such country is the United Kingdom, where the main policy response was targeted on existing facilities and was actually driven by European Union post-Fukushima requirements, including a set of nuclear "stress tests", which included considerations of beyond-design-basis accidents. The South Korean government continued to operate its twenty existing nuclear power plants and plans to establish more by 2015 (Song et al, 2013).…”
Section: Social Acceptance Of Nuclear Technologymentioning
Nuclear power is an important energy source especially in consideration of CO2 emissions and global warming. Deploying nuclear power plants, however, may be challenging when uncertainty in long-term electricity demand and more importantly public acceptance are considered. This is true especially for emerging economies (e.g., India, China) concerned with reducing their carbon footprint in the context of growing economic development, while accommodating a growing population and significantly changing demographics, as well as recent events that may affect the public's perception of nuclear technology. In the aftermath of the Fukushima Daiichi disaster, public acceptance has come to play a central role in continued operations and deployment of new nuclear power systems worldwide. In countries seeing important long-term demographic changes, it may be difficult to determine the future capacity needed, when and where to deploy it over time, and in the most economic manner. Existing studies on capacity deployment typically do not consider such uncertainty drivers in long-term capacity deployment analyses (e.g., 40+ years). To address these issues, this paper introduces a novel approach to nuclear power systems design and capacity deployment under uncertainty that exploits the idea of strategic flexibility and managerial decision rules. The approach enables dealing more pro-actively with uncertainty and helps identify the most economic deployment paths for new nuclear capacity deployment over multiple sites. One novelty of the study lies in the explicit recognition of public acceptance as an important uncertainty driver affecting economic performance, along with long-term electricity demand. Another novelty is in how the concept of flexibility is exploited to deal with uncertainty and improve expected lifecycle performance (e.g. cost). New design and deployment strategies are developed and analyzed through a multistage stochastic programming framework where decision rules are represented as non-anticipative constraints. This approach provides a new way to devise and analyze adaptation strategies in view of long-term uncertainty fluctuations that is more intuitive and readily usable by system operators than typical solutions obtained from standard real options analysis techniques, which are typically used to analyze flexibility in large-scale, irreversible investment projects. The study considers three flexibility strategies subject to uncertainty in electricity demand and public acceptance: 1) phasing (or staging) capacity deployment over time and space, 2) onsite capacity expansion, and 3) life extension. Numerical analysis shows that flexible designs perform better than rigid optimal design deployment strategies, and the most flexible design combining the above strategies outperforms both more rigid and less flexible design alternatives. It is also demonstrated that a flexible design benefits from the strategies of phasing and capacity expansion most significantly across all three strategies studied. The results provide...
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