Construction of China's Earthquake Emergency Response Capability Evaluation Index System

2020 ◽  
Vol 10 (3) ◽  
pp. 1-12
Author(s):  
Wei Wang ◽  
Hong-bum Chen ◽  
Lisiwen Ma ◽  
Minhao Qu
Keyword(s):  
Emergency Response ◽  
Index System ◽  
Evaluation Index System ◽  
Evaluation Index ◽  
Earthquake Emergency Response ◽  
Capability Evaluation ◽  
Response Capability

scholarly journals Identifying organisational capability of hospitals amid the new healthcare reform in China: a Delphi study

BMJ Open ◽  
2021 ◽  
Vol 11 (1) ◽  
pp. e042447
Author(s):  
Jingyu Shi ◽  
Xinyue Sun ◽  
Kai Meng
Keyword(s):  
Delphi Study ◽  
Index System ◽  
Healthcare Reform ◽  
Environmental Changes ◽  
Evaluation Index System ◽  
Evaluation Index ◽  
Private Hospitals ◽  
Public And Private ◽  
Public And Private Hospitals ◽  
Capability Evaluation

ObjectiveSince China launched its nationwide systemic healthcare reform in 2009, policies such as the elimination of drug markups and the reform of medical insurance payments have forced some hospitals into a crisis threatening their survival. Both public and private hospitals have been building and strengthening their capacity to achieve sustainable development. However, the existing research has not provided a comprehensive evaluation tool required to support this effort. Therefore, this study develops an organisational capability evaluation index system to help public and private hospitals assess their current conditions.DesignThe Delphi method was used to construct a hospital organisational capability evaluation index system in conjunction with the boundary value method and an analytic hierarchical process. Then, a questionnaire survey was administered in 55 hospitals (32 non-profit and 23 for-profit hospitals), and Cronbach’s α and a factor analysis were used to verify the index system’s reliability and validity.Setting and participantsA literature review and semistructured interviews with 23 hospital managers and scholars clarified the definition of hospital organisational capability and formed an indicator pool. Additionally, 20 hospital directors were selected from public and private hospitals to participate in two rounds of the Delphi consultation.ResultsThe Delphi consultation resulted in an index system including 12 primary and 40 secondary indicators demonstrated to be reliable and valid. The three indicators with the largest weights were ‘regulation capability’ (0.251), ‘decision-making capability’ (0.121) and ‘executive capability’ (0.105).ConclusionThis study constructed an index system based on theoretical and practical considerations, and is expected to be applied to quantitatively evaluate the organisational capability of both public and private hospitals in China, and support their adaptation to external environmental changes.

scholarly journals Research on Utility Evaluation of Grid Investment considering Risk Preference of Decision-Makers

2020 ◽  
Vol 2020 ◽  
pp. 1-16
Author(s):  
Hongliang Wu ◽  
Daoxin Peng ◽  
Ling Wang
Keyword(s):  
Index System ◽  
Evaluation Model ◽  
Risk Preference ◽  
System Optimization ◽  
Decision Makers ◽  
Evaluation Index System ◽  
Evaluation Index ◽  
Risk Appetite ◽  
Utility Evaluation ◽  
The Index System

Effectiveness evaluations are one of the important ways to guide grid investment and to improve investment efficiency. Improving the effectiveness of grid investment evaluations is studied based on the optimization of the investment evaluation index system and the utility evaluation model. The index system is optimized by establishing an evaluation index system of grid investment effectiveness, considering the redundancy between the indices, and constructing an ISM-DEA model. The utility function model was introduced to fully consider the different risk appetites of decision-makers, and a utility evaluation model that takes risk appetite into account was established. An improved weight integration model based on multiobjective optimization was established by considering the minimum deviation and the trend-optimal objective function when setting the index weights. The calculation results show that the feasibility of the index system optimization model and utility evaluation model constructed in this study is verified under the premise of satisfying the assumptions. By adjusting the risk preference coefficient of decision-makers, the dynamic optimization of the grid investment utility evaluation results can be realized.

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