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Exploration and practice of using counterpart support resources to improve scientific research level of recipient hospitals / 中华医学科研管理杂志
Article in Zh | WPRIM | ID: wpr-934414
Responsible library: WPRO
ABSTRACT
Objective:Exploring the " bottle neck" factors in the scientific research management of recipient hospitals, making good use of counterpart support resources to help identifying appropriate, tailored strategies of scientific research management that might improve the research capacity of recipient hospitals.Methods:Data were collected according to questionnaire survey and on-site interview, ABC classification method were used to perform statistical analysis, and " bottleneck" factors that constraint the scientific research work of the recipient hospital were summarized.Results:" Insufficient scientific research skills and lacking of talents" and " lacking of scientific research environment and recognition" are the two most prominent factors that negatively affect the scientific research capacity building of the recipient hospitals, followed closely by " the out-dated scientific research policies and lacking support from the hospital leadership" , insufficient of research platform or resources including research funding, as well as other factors. Based on such findings, this article took the First People's Hospital of Kashgar (Guangdong counterpart support) as an example, and tried to discuss some corresponding measures on how to make good use of counterpart support resources.Conclusions:The ABC classification method were used to identify the main " bottleneck" factors, and a series of effective measures that help to making good use of counterpart support resources were explored. As a result, the efficiency of the scientific research management of the recipient hospitals, which in terms of management methods, management concepts and management models, were improved.
Key words
Full text: 1 Index: WPRIM Type of study: Prognostic_studies Language: Zh Journal: Chinese Journal of Medical Science Research Management Year: 2021 Type: Article
Full text: 1 Index: WPRIM Type of study: Prognostic_studies Language: Zh Journal: Chinese Journal of Medical Science Research Management Year: 2021 Type: Article