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Yang Y, Liu B, Wen YJ, Li ZJ, Zhang YX, Zhao GM, Hu BJ, Chen WS, Zhang WH. Fever clinic construction and management targeted to prevention and control of healthcare-associated respiratory viral infections in Jiangsu, China: A cross-sectional observational study. PLoS One 2024; 19:e0297133. [PMID: 38300979 PMCID: PMC10833562 DOI: 10.1371/journal.pone.0297133] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/18/2023] [Accepted: 12/27/2023] [Indexed: 02/03/2024] Open
Abstract
To analyze the post-COVID-19 construction and management of fever clinics targeted to prevention and control of healthcare-associated respiratory viral infections in medical institutions at all levels in China, and to provide a basis for promoting their standardized construction, we conducted this survey on the construction of fever clinics in 429 medical institutions of Jiangsu Province from July to December 2020. Contents of the questionnaire included the general situation of medical institutions, the construction status and future construction plans of fever clinics. We find the construction rate of fever clinic in medical institutions of Jiangsu province was 75.3%. All construction indicators, quality management systems and processes fail to fully meet the requirements of documents and standards. Jiangsu province actively promotes the construction of fever clinic layout, but there is still a gap with the construction standard. As a result, it is necessary to further promote standardized construction of fever clinic, and necessary financial input should be increased to expand all constructions of fever clinic in primary medical institutions.
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Affiliation(s)
- Yue Yang
- Shanghai Institute of Infectious Disease and Biosecurity, Fudan University, Shanghai, China
- Department of Infection Control, The First Affiliated Hospital of Nanjing Medical University, Nanjing, Jiangsu, China
- Department of Infectious Diseases & Hospital Infection Management, Zhongshan Hospital, Fudan University, Shanghai, China
- Department of Epidemiology, School of Public Health, Fudan University, Shanghai, China
| | - Bo Liu
- Department of Infection Control, The First Affiliated Hospital of Nanjing Medical University, Nanjing, Jiangsu, China
| | - Ya-Jun Wen
- Department of Infection Control, The First Affiliated Hospital of Nanjing Medical University, Nanjing, Jiangsu, China
| | - Zhan-Jie Li
- Department of Infection Control, The First Affiliated Hospital of Nanjing Medical University, Nanjing, Jiangsu, China
| | - Yong-Xiang Zhang
- Department of Infection Control, The First Affiliated Hospital of Nanjing Medical University, Nanjing, Jiangsu, China
| | - Gen-Ming Zhao
- Department of Epidemiology, School of Public Health, Fudan University, Shanghai, China
| | - Bi-Jie Hu
- Shanghai Institute of Infectious Disease and Biosecurity, Fudan University, Shanghai, China
- Department of Infectious Diseases & Hospital Infection Management, Zhongshan Hospital, Fudan University, Shanghai, China
| | - Wen-Sen Chen
- Department of Infection Control, The First Affiliated Hospital of Nanjing Medical University, Nanjing, Jiangsu, China
| | - Wei-Hong Zhang
- Department of Infection Control, The First Affiliated Hospital of Nanjing Medical University, Nanjing, Jiangsu, China
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Chen L, Zeng H, Wu L, Tian Q, Zhang N, He R, Xue H, Zheng J, Liu J, Liang F, Zhu B. Spatial Accessibility Evaluation and Location Optimization of Primary Healthcare in China: A Case Study of Shenzhen. GEOHEALTH 2023; 7:e2022GH000753. [PMID: 37200630 PMCID: PMC10187614 DOI: 10.1029/2022gh000753] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 11/18/2022] [Revised: 03/20/2023] [Accepted: 04/04/2023] [Indexed: 05/20/2023]
Abstract
The unbalanced allocation of healthcare resources is a major challenge that hinders access to healthcare. Taking Shenzhen as an example, this study aimed to enhance equity in obtaining healthcare services, through measuring and visualizing the spatial accessibility of community healthcare centers (CHC), and optimizing CHC geospatial allocation. We used the number of health technicians per 10,000 to represent the CHC's service capacity, combined with resident points and census data to calculate the population the CHC needs to carry, and then analyzed the accessibility based on the Gaussian two-step floating catchment area method. In 2020, five regions in Shenzhen had better spatial accessibility scores: Nanshan (0.250), Luohu (0.246), Futian (0.244), Dapeng (0.226), and Yantian (0.196). The spatial accessibility of CHCs shows a gradual decrease from the city center to the edge, which is affected by economic and topographic factors. With the support of the maximal covering location problem model, we selected up to 567 candidate locations for the new CHC, which could improve Shenzhen's accessibility score from 0.189 to 0.361 and increase the coverage population by 63.46% within a 15-min impedance. By introducing spatial techniques and maps, this study provides (a) new evidence for promoting equitable access to primary healthcare services in Shenzhen and (b) a foundation for improving the accessibility of public service facilities in other areas.
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Affiliation(s)
- Liutong Chen
- School of Public Health and Emergency ManagementSouthern University of Science and TechnologyShenzhenChina
| | - Huatang Zeng
- Shenzhen Health Development Research and Data Management CenterShenzhenChina
| | - Liqun Wu
- Shenzhen Health Development Research and Data Management CenterShenzhenChina
| | - Qiannan Tian
- Shenzhen Health Development Research and Data Management CenterShenzhenChina
| | - Ning Zhang
- School of Public Policy and AdministrationXi'an Jiaotong UniversityXi'anChina
| | - Rongxin He
- Vanke School of Public HealthTsinghua UniversityBeijingChina
| | - Hao Xue
- Stanford Center on China's Economy and InstitutionsStanford UniversityStanfordCAUSA
| | - Junyao Zheng
- China Institute for Urban GovernanceShanghai Jiao Tong UniversityShanghaiChina
- School of International and Public AffairsShanghai Jiao Tong UniversityShanghaiChina
| | - Jinlin Liu
- School of Public Policy and AdministrationNorthwestern Polytechnical UniversityXi'anChina
| | - Fengchao Liang
- School of Public Health and Emergency ManagementSouthern University of Science and TechnologyShenzhenChina
| | - Bin Zhu
- School of Public Health and Emergency ManagementSouthern University of Science and TechnologyShenzhenChina
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Peng Z, Yang S, Wang C, Bian X, Zhang X. Community pandemic prevention and control measures and their influence on citizen satisfaction during the COVID-19 pandemic in China. INTERNATIONAL JOURNAL OF DISASTER RISK REDUCTION : IJDRR 2023; 85:103494. [PMID: 36567742 PMCID: PMC9767881 DOI: 10.1016/j.ijdrr.2022.103494] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/29/2022] [Revised: 12/11/2022] [Accepted: 12/11/2022] [Indexed: 06/17/2023]
Abstract
At the forefront of the fight against the pandemic, the community' s measures and services would have a greater impact than ever before on citizen satisfaction. However, the influence of citizen satisfaction on community pandemic prevention and control measures (CPPCM) during the pandemic is poorly understood. This study aims to investigate the allocation of CPPCM and its impact on CS. The Chinese national data was analyzed for the outcome. (1) Pandemic prevention propaganda (PPP), disinfection (DT), and body temperature tests (BTTs) were the primary measures taken by the Chinese community. (2) The CS for pandemic prevention and control is high, and urban and central Chinese communities express greater satisfaction. (3) The impact of disinfection, body temperature tests, free supplies, and assistance purchasing supplies on CS was greater in rural areas than in urban areas. (4) Regional variations exist in the impact of CS on CPPCM. (5) The number of measures has an inverted U-shaped relationship with citizen satisfaction. This study also suggests that the government should disseminate information about pandemic prevention in a timely manner, provide basic health and medical services, and evaluate the measures taken to avoid the discount effect.
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Affiliation(s)
- Zhengbo Peng
- School of Public Administration and Communication, Guilin University of Technology, Guilin, 541004, China
| | - Su Yang
- School of Public Administration and Communication, Guilin University of Technology, Guilin, 541004, China
| | - Cong Wang
- School of Economics and Management, Fuzhou University, Fuzhou, 350108, China
| | - Xiaojie Bian
- School of Marxism, Guilin University of Technology, Guilin, 541004, China
| | - Xiaojun Zhang
- School of Economics and Management, Fuzhou University, Fuzhou, 350108, China
- School of Government, Nanjing University, Nanjing, 210023, China
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COVID-19: Evaluation of Fever Clinic and Fever Sentinel Configuration—A Case Study of Harbin, China. SUSTAINABILITY 2022. [DOI: 10.3390/su14159117] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
The COVID-19 pandemic has placed the inequalities in health services in countries around the world under severe pressure. As crucial pillars in the prevention and control of COVID-19, fever clinics and fever sentinels are important sites for the screening, diagnosis, and isolation of patients. This study comprehensively evaluated the spatial-layout characteristics, configuration quantity, and service capacity of 42 fever clinics and 418 fever sentinels in Harbin from the perspective of supply by using GIS spatial-analysis methods such as kernel density analysis. From the perspective of demand, we evaluated the accessibility of fever clinics with the modified two-step floating catchment area (2SFCA) method; the OD cost matrix method and Voronoi diagram method were used to evaluate the accessibility and service pressure of fever sentinels. This study found that a monocentric clustering characterizes the spatial layout of fever clinics, and the design of fever clinics in new urban areas and marginal rural areas is relatively lacking. The spatial layout of fever sentinels includes blank areas, and the service pressure in the central city area is relatively high. Combined with the assessment results, the study discussed optimization strategies and implementation paths for improving the public health and epidemic prevention system for COVID-19 in terms of four aspects: the transformation of governance practice, the spatial-planning response, the digital infrastructure response, and guarantees of policies and regulations.
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Raeesi A, Kiani B, Hesami A, Goshayeshi L, Firouraghi N, MohammadEbrahimi S, Hashtarkhani S. Access to the COVID-19 services during the pandemic - a scoping review. GEOSPATIAL HEALTH 2022; 17. [PMID: 35352541 DOI: 10.4081/gh.2022.1079] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/07/2022] [Accepted: 03/23/2022] [Indexed: 06/14/2023]
Abstract
Appropriate accessibility to coronavirus disease 2019 (COVID-19) services is essential in the efficient management of the pandemic. Different geospatial methods and approaches have been used to measure accessibility to COVID-19 health-related services. This scoping review aimed to summarize and synthesize the geospatial studies conducted to measure accessibility to COVID-19 healthcare services. Web of Science, Scopus, and PubMed were searched to find relevant studies. From 1113 retrieved unique citations, 26 articles were selected to be reviewed. Most of the studies were conducted in the USA and floating catchment area methods were mostly used to measure the spatial accessibility to COVID-19 services including vaccination centres, Intensive Care Unit beds, hospitals and test sites. More attention is needed to measure the accessibility of COVID-19 services to different types of users especially with combining different non-spatial factors which could lead to better allocation of resources especially in populations with limited resources.
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Affiliation(s)
- Ahmad Raeesi
- Department of Medical Informatics, School of Medicine, Mashhad University of Medical Sciences, Mashhad.
| | - Behzad Kiani
- Department of Medical Informatics, School of Medicine, Mashhad University of Medical Sciences, Mashhad.
| | - Azam Hesami
- Lab Solutions company Located at Science and Technology Park, Shahid Beheshti University, Tehran.
| | - Ladan Goshayeshi
- Surgical Oncology Research Center, Imam Reza Hospital, School of Medicine, Mashhad University of Medical Sciences, Mashhad; Department of Gastroenterology and Hepatology, School of Medicine, Mashhad University of Medical Sciences, Mashhad.
| | - Neda Firouraghi
- Department of Medical Informatics, School of Medicine, Mashhad University of Medical Sciences, Mashhad.
| | - Shahab MohammadEbrahimi
- Department of Medical Informatics, School of Medicine, Mashhad University of Medical Sciences, Mashhad.
| | - Soheil Hashtarkhani
- Department of Health Information Technology, Neyshabur University of Medical Sciences, Neyshabur.
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