Evidence map›Paper›PMID 39695447›Full record

ArticleBMC infectious diseases2024

Evaluating the capacity of tertiary general hospitals in Beijing to prevent and treat respiratory infectious diseases: a delphi study.

Tong Hu, Mingyuan Liu, Xin Tian, Youqing Xin

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Article in BMC infectious diseases, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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5 · Who and what money

Authors and funding

4 authors.

Tong HuSchool of Public Health, Capital Medical University, No.10 Xitoutiao, Youanmenwai Street, Fengtai District, Beijing, 100069, China.
Mingyuan LiuDepartment of Vascular Surgery, Beijing Friendship Hospital, Capital Medical University, No.95 Yongan Street, Xicheng District, Beijing, 100050, China.
Xin Tian *Beijing Ditan Hospital, Capital Medical University, No.8 Jingshun East Street, Chaoyang District, Beijing, 100102, China. tianxin_66610@sina.com.
Youqing Xin *Beijing Friendship Hospital, Capital Medical University, No.95 Yongan Street, Xicheng District, Beijing, 100050, China. yyyyglyjs0@163.com.

Funding

Beijing Nova Program No.20230484308the Capital's Funds for Health Improvement and Research CFH 2022-4-20217the National Natural Science Foundation of China 72074158the Science and Technology Program of Beijing Tongzhou District KJ2023CX012the Young Elite Scientists Sponsorship Program by CAST 2023QNRC001the Youth Elite Program of Beijing Friendship Hospital YYQCJH2022-9
6 · The paper itself

Abstract

backgroundThe capacity of tertiary general hospitals to prevent and treat respiratory infectious diseases plays a key role in effectively containing the spread of major epidemics within hospitals and ensuring early treatment for patients. This, in turn, helps control the transmission of diseases at the societal level and safeguard public health. However, there is a lack of detailed indicators for assessing hospitals' capacity in this area, which makes it difficult to evaluate and manage practices. Therefore, this study aimed to develop a comprehensive evaluation index system to assess the capabilities of tertiary general hospitals in preventing and treating respiratory infectious diseases.

methodsThis study utilizes a three-dimensional evaluation model, "Structure-Process-Outcome" as the theoretical basis and first-level index of the indicator system for evaluating the abilities of tertiary general hospitals in preventing and treating respiratory infectious disease. A combination of literature review, semi-structured interviews, and Delphi expert consultation was employed to ensure comprehensive and reliable indicators. The hierarchical analysis method (AHP) was used to determine the weights of the indicators.

resultsThe effective response rates for the two rounds of the Delphi survey were 95.2% and 100%, respectively. The expert authority coefficients were 0.905 and 0.923, respectively. Kendall's W for the importance of all the indicators increased from 0.274 to 0.327 (P < 0.001), and for feasibility, it increased from 0.198 to 0.240 (P < 0.001). After two rounds of expert consultation, a final evaluation indicator system was established, including 3 first-level indicators, 12 s-level indicators, and 41 third-level indicators, with assigned weights.

conclusionThis study establishes a comprehensive evaluation index system, providing a scientific basis for evaluating the capacity of tertiary general hospitals to prevent and treat respiratory infectious diseases. The system provides valuable reference for improving hospital preparedness and response strategies, and for evaluating the infectious disease prevention and treatment system in Beijing, China.

Indexed as

Delphi TechniqueHospitals, GeneralRespiratory Tract InfectionsTertiary Care CentersBeijingHumansEvaluation index systemInfectious diseasePrevention and treatment capacityRespiratory infectious diseasesTertiary general hospital

Identifiers

PMID39695447
PMCPMC11653983

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.