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Wei Z, Wei K, Li Y, Nie L, Zhou Y. Measurement of China's public health level: compilation and research of an index. BMC Public Health 2024; 24:686. [PMID: 38439001 PMCID: PMC10913443 DOI: 10.1186/s12889-024-18212-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/06/2023] [Accepted: 02/25/2024] [Indexed: 03/06/2024] Open
Abstract
BACKGROUND With the development of the economy, public health has become increasingly important. Therefore, it is important to establish a comprehensive and scientific the public health level index (PHL) system to measure public health level as a research priority. The current research has limitations in exploring the PHL system; therefore, the field still lacks a comprehensive indicator system to measure the level of public health. Therefore, this paper aims to develop a multi-level public health index system and utilizes China as a case study to evaluate its public health status. The objective is to offer insights and recommendations for the improvement of public health initiatives in China and other regions. METHODS Utilizing data from 2011 to 2020, a comprehensive PHL was developed to encompass three vital indices: the Public Health Service Index (PHS), the Public Health Resource Index (PHR), and the Population Health Level Index (PHL). Subsequently, the PHL, PHS, PHR, and PH were meticulously calculated using a comprehensive evaluation method. Amid the current disparity between public health and economic progress, both the spatial Durbin model and the spatial lag model were finally employed to examine the influence of economic level (EL) on PHL, thus affirming the consistent reliability and accuracy of PHS. RESULTS Our findings revealed the following: (i) the PHL, PHS, and PHR indices show increasing trends in China; (ii) both EL and PHL exhibit high-high clustering and low-low clustering states; (iii) the PHL in the area has a positive spatial spillover effect on the surrounding area; (iv) EL will result in the siphoning effect of PHL; and (v) EL can enhance PHL through urbanization, PH, and PHS. CONCLUSIONS The PHL system constructed in this paper demonstrates multiple levels, pluralism, spatio-temporal comparability, and robustness. It can reflect not only the input and output of public health initiatives but also the interconnectedness and autonomy within the public health system. Therefore, it can be widely utilized in other areas of public health research.
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Affiliation(s)
- Zhengqi Wei
- Guangxi Key Laboratory of Environmental Exposomics and Entire Lifecycle Health, School of Public Health, Guilin Medical University, Guilin, Guangxi, 541199, China.
| | - Keke Wei
- Huazhong University of Science and Technology Tongji Medical College, WuHan, 430000, China
| | - Yan Li
- Guangxi Key Laboratory of Environmental Exposomics and Entire Lifecycle Health, School of Public Health, Guilin Medical University, Guilin, Guangxi, 541199, China
| | - Lijie Nie
- Guangxi Key Laboratory of Environmental Exposomics and Entire Lifecycle Health, School of Public Health, Guilin Medical University, Guilin, Guangxi, 541199, China
| | - Yizhuang Zhou
- Guangxi Key Laboratory of Environmental Exposomics and Entire Lifecycle Health, School of Public Health, Guilin Medical University, Guilin, Guangxi, 541199, China.
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Fu Y, Zhao G, Shan J, Zeng L. Study on a job competence evaluation system for resident physicians (including integrated postgraduates) receiving standardized training. BMC MEDICAL EDUCATION 2023; 23:834. [PMID: 37936210 PMCID: PMC10629086 DOI: 10.1186/s12909-023-04833-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/27/2023] [Accepted: 11/01/2023] [Indexed: 11/09/2023]
Abstract
BACKGROUND Standardized training for resident physicians is the primary form of postgraduate medical education, and it plays a pivotal role in healthcare safety and industry stability. Currently, it has garnered significant attention from healthcare institutions. METHODS By conducting a comprehensive literature review and a Delphi consultation in June 2022 for which 40 experts in clinical medicine, public health, and other related fields in China were invited. The indicators were adjusted according to the results of the consultation, and the final indicator weights were determined through an analytic hierarchy process. RESULTS The response rate was 100%, and the expert authority coefficient was 0.879. The consistency among the experts on the tertiary indicators, as measured by Kendall's W, was 0.675 (χ2 = 42.516, p < 0.001). Based on the results of the expert consultation, a job competence evaluation system for resident physicians (including integrated postgraduates) receiving standardized training was established, which included 6 primary indicators, 18 secondary indicators, and 116 tertiary indicators. The weights for the primary indicators, namely professional quality, skills and knowledge, patient care, communication and collaboration, teaching skills, and lifelong learning, were 0.313, 0.248, 0.181, 0.083, 0.066, and 0.110, respectively. The top three secondary indicators in terms of combined weights were clinical skills (0.122), professional ethics (0.120), and professional dedication (0.109). The three tertiary indicators with the highest scores were "maintains collaboration with peers and colleagues in patient treatment," "has clinical thinking skills, makes diagnosis and treatment decisions based on analysis of evidence, and has the ability to administer suitable treatments," and "abides by laws and discipline and refuses to seek personal gains in medical practice"; their combined weights were 0.035, 0.028, and 0.027, respectively. CONCLUSION This study has established a concrete, objective, and quantifiable competency assessment index system for standardized training of clinical resident physicians (including integrated postgraduates). This system provides a foundation for the quantitative evaluation of the competency of clinical resident physicians (including integrated postgraduates) undergoing standardized training.
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Affiliation(s)
- Yuanzheng Fu
- Department of Science and Education, The Affiliated Guangdong Second Provincial General Hospital of Jinan University, Guangzhou, P.R. China
| | - Guoxiang Zhao
- Department of Science and Education, The Affiliated Guangdong Second Provincial General Hospital of Jinan University, Guangzhou, P.R. China
| | - Jie Shan
- Department of Science and Education, The Affiliated Guangdong Second Provincial General Hospital of Jinan University, Guangzhou, P.R. China
| | - Luxian Zeng
- Unions of Trade, The Affiliated Guangdong Second Provincial General Hospital of Jinan University, Guangzhou, P.R. China.
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Guo Z, Zhong F, Shu H. Construction of a risk index system for the prediction of chronic post-surgical pain after video-assisted thoracic surgery for lung resection: A modified Delphi study. Glob Health Med 2023; 5:229-237. [PMID: 37655184 PMCID: PMC10461330 DOI: 10.35772/ghm.2023.01061] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/23/2023] [Revised: 05/24/2023] [Accepted: 06/11/2023] [Indexed: 09/02/2023]
Abstract
In the present study, several research methods were adopted, including literature retrieval, theoretical analysis, and qualitative research, and then the draft of the prognostic factors for the chronic post-surgical pain (CPSP) index system after video-assisted thoracoscopic surgery (VATS) for lung resection was constructed. A Delphi survey was used for the study of 24 experts in the field of pain from three different grade-A tertiary hospitals in Guangzhou, China. In the two rounds of survey, the experts rated these indicators for the importance and feasibility of measurement (round 1, n = 21 participants; round 2, n = 20). Finally, we calculated Kendall's W index as a measure of consensus. A general consensus was reached on predicting CPSP after VATS, consisting of 10 first-level domains and 64 second-level indicators, involving biological, psychological and social perspectives. This study provides a comprehensive draft of risk factors developed and identified by experts to inform research-based evidence on chronic pain. Increased clinical awareness and a full understanding of how to screen and identify people with CPSP problems may lead to earlier recognition of chronic pain and greater facilitation of professional prevention.
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Affiliation(s)
- Zhimin Guo
- Guangdong Cardiovascular Institute, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou, China
| | - Fei Zhong
- Guangdong Cardiovascular Institute, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou, China
| | - Haihua Shu
- Guangdong Cardiovascular Institute, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou, China
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Yang X, Zhao X, Chen X, Tong R. Proportions distribution of pneumoconiosis stages in China: a study based on a meta-analysis and field investigation. JOURNAL OF ENVIRONMENTAL SCIENCE AND HEALTH. PART A, TOXIC/HAZARDOUS SUBSTANCES & ENVIRONMENTAL ENGINEERING 2022; 57:1024-1036. [PMID: 36285421 DOI: 10.1080/10934529.2022.2138316] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/18/2021] [Revised: 10/06/2022] [Accepted: 10/06/2022] [Indexed: 06/16/2023]
Abstract
Occupational pneumoconiosis is the most serious work-related disease in China. In this paper, pneumoconiosis stages distribution was obtained to study the stages severity of occupational pneumoconiosis patients in China. A meta-analysis was conducted among screening the published literature on the pneumoconiosis epidemiology in China by Stata 15.0. Moreover, a field survey was conducted on 510 migrant workers suffering from pneumoconiosis in four provinces of China, and the results were analyzed by simple linear analysis and ordinal logistic regression analysis. The stage I, II and III pneumoconiosis accounted for 0.71, 0.21, 0.08, respectively, by the results of meta-analysis. The publication bias of these articles is not obvious based on the Egger's test and funnel plots. There was no significant linear correlation between the distribution of pneumoconiosis stages and the economic status and medical conditions in this study. Migrant workers pneumoconiosis stage I, II and III accounted for 0.14, 0.2, 0.66 respectively, which was significantly correlated with length of work and provinces. In China, migrant workers lack effective occupational health protection so that they have higher occupational health risks than urban workers. Therefore, occupational health protection for migrant workers in the occupational health management system needs to be strengthened.
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Affiliation(s)
- Xuesong Yang
- School of Emergency Management and Safety Engineering, China University of Mining and Technology-Beijing, Beijing, China
| | - Xu Zhao
- School of Emergency Management and Safety Engineering, China University of Mining and Technology-Beijing, Beijing, China
| | - Xingbang Chen
- School of Emergency Management and Safety Engineering, China University of Mining and Technology-Beijing, Beijing, China
| | - Ruipeng Tong
- School of Emergency Management and Safety Engineering, China University of Mining and Technology-Beijing, Beijing, China
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Liu M, Zheng C, Guan X, Ke Z, Zou P, Yang Y. Development of central venous access device-associated skin impairment assessment instrument. Nurs Open 2022; 9:2095-2107. [PMID: 35502576 PMCID: PMC9190675 DOI: 10.1002/nop2.1220] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/30/2021] [Revised: 02/27/2022] [Accepted: 04/03/2022] [Indexed: 11/12/2022] Open
Abstract
AIM To develop an assessment tool to assess the severity and healing of skin impairment with the central venous access device. DESIGN Delphi technique. METHODS The instrument domain list was developed through a systematic literature review and semi-structured interviews. Experts from China evaluated the relevance and significance of these items in assessing the degree of skin impairment surrounding central venous access device sites through two Delphi rounds. The APA Style JARS checklist for this article was used. RESULTS For the systematic literature review, 28 articles were included to develop the wound assessment instrument. From the articles and interview contents, 15 criteria were selected based on reporting frequency. After further screening via in-depth discussion, the central venous access devices associated with the skin impairment assessment tool were refined to include 14 major domains. Through a two-phase Delphi process, 71 items in 12 domains were ultimately retained.
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Affiliation(s)
- Min Liu
- School of Nursing, Wenzhou Medical University, Wenzhou, China
| | - Chonghao Zheng
- School of Nursing, Wenzhou Medical University, Wenzhou, China
| | - Xiangyun Guan
- School of Nursing, Wenzhou Medical University, Wenzhou, China
| | - Ziwei Ke
- School of Nursing, Wenzhou Medical University, Wenzhou, China
| | - Ping Zou
- School of Nursing, Nipissing University, Toronto, Canada
| | - Yeqin Yang
- School of Nursing, Wenzhou Medical University, Wenzhou, China
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Ge X, Cui K, Ma H, Zhao S, Meng W, Wang W. Cost-effectiveness of comprehensive preventive measures for coal workers' pneumoconiosis in China. BMC Health Serv Res 2022; 22:266. [PMID: 35227271 PMCID: PMC8883714 DOI: 10.1186/s12913-022-07654-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/28/2021] [Accepted: 02/15/2022] [Indexed: 11/15/2022] Open
Abstract
Background Coal workers’ pneumoconiosis (CWP) remains one of the most severe occupational diseases in China. Despite the implementation of CWP comprehensive preventive measures, the unreasonable allocation of investment by coal enterprises limits the effect of preventing CWP, especially when the health resources are inadequate. This study aims to evaluate the cost-effectiveness of comprehensive measures for CWP from the perspective of coal enterprises. Methods Comprehensive measures and two primary interventions (engineering controls and individual protective equipment) were selected. A time-dependent Markov model was developed to evaluate cost and quality-adjusted life-years (QALYs). The input data were collected from the survey and literature. A hypothetical null situation, in which the currently implemented interventions were eliminated, was used as a comparator based on the generalised cost-effectiveness analysis (GCEA) recommended by the World Health Organization (WHO). The primary outcomes of the model were reported in terms of incremental cost-effectiveness ratios (ICERs). Uncertainty was verified using one-way and probabilistic sensitivity analyses. Results The QALYs of the comprehensive measures, engineering controls, and individual protective equipment were 17.60, 17.50, and 16.85 years, respectively. Compared with null, the ICERs of the interventions were 65,044.73, 30,865.15, and 86,952.41 RMB/QALY, respectively. Individual protective equipment was dominated by an ICER of -11,416.02 RMB/QALY compared to engineering controls. Sensitivity analysis suggested the robustness of the results. Conclusions The comprehensive preventive measures for CWP that are currently implemented in Chinese state-owned mines are cost-effective. In comprehensive measures, engineering controls are more cost-effective than individual protective equipment. Investment in engineering controls should be increased to improve the cost-effectiveness of preventing CWP. Supplementary Information The online version contains supplementary material available at 10.1186/s12913-022-07654-7.
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Affiliation(s)
- Xiaoyan Ge
- Department of Health Statistics, School of Public Health, Jinzhou Medical University, No. 40 Songpo Road, Jinzhou, Liaoning, 121000, People's Republic of China
| | - Kai Cui
- Department of Health Statistics, School of Public Health, Jinzhou Medical University, No. 40 Songpo Road, Jinzhou, Liaoning, 121000, People's Republic of China.
| | - Honglin Ma
- Department of Health Statistics, School of Public Health, Jinzhou Medical University, No. 40 Songpo Road, Jinzhou, Liaoning, 121000, People's Republic of China
| | - Siqi Zhao
- Department of Health Statistics, School of Public Health, Jinzhou Medical University, No. 40 Songpo Road, Jinzhou, Liaoning, 121000, People's Republic of China
| | - Weihan Meng
- Department of Health Statistics, School of Public Health, Jinzhou Medical University, No. 40 Songpo Road, Jinzhou, Liaoning, 121000, People's Republic of China
| | - Wenbo Wang
- Department of Health Statistics, School of Public Health, Jinzhou Medical University, No. 40 Songpo Road, Jinzhou, Liaoning, 121000, People's Republic of China
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Shen L, Jing G, Zeng Q. Online evaluation method of coal mine comprehensive level based on FCE. PLoS One 2021; 16:e0256026. [PMID: 34398911 PMCID: PMC8366963 DOI: 10.1371/journal.pone.0256026] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/04/2021] [Accepted: 07/28/2021] [Indexed: 11/19/2022] Open
Abstract
An online evaluation method of coal mine comprehensive level based on Fuzzy Comprehensive Evaluation method (FCE) is proposed. Firstly, following the principles of fairness, systematicness and hierarchy, taking research and development, production, sales, finance, safety and management as the first level indicators, a set of multi-level evaluation indicator system of coal mine comprehensive level combining objective and subjective evaluation indicators is established. Secondly, according to the characteristics of the indicator system, the specific process of FCE of coal mine comprehensive level is given. Then, taking SQL Server as the database management system and C#.NET as the development language, a set of B/S structure online evaluation system of coal mine comprehensive level based on FCE is designed and developed. Finally, the proposed method is applied to Coal group PM for test. The application shows that the method proposed can provide an efficient and convenient online evaluation platform to evaluate the comprehensive level of coal mines for the Coal group, and the horizontal and longitudinal comparison of the evaluation results can urge the coal mines to maintain their advantages and avoid their disadvantages, which is of some significance for improving the overall competitiveness of the Coal group.
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Affiliation(s)
- Ling Shen
- School of Safety Science and Engineering, Henan Polytechnic University, Henan Jiaozuo, China
| | - Guoxun Jing
- Anyang Institute of Technology, Henan Anyang, China
| | - Qiang Zeng
- School of Business Administration, Henan Polytechnic University, Henan Jiaozuo, China
- * E-mail:
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Zhang Y, Zhang Y, Liu B, Meng X. Prediction of the length of service at the onset of coal workers' pneumoconiosis based on neural network. ARCHIVES OF ENVIRONMENTAL & OCCUPATIONAL HEALTH 2019; 75:242-250. [PMID: 31328665 DOI: 10.1080/19338244.2019.1644278] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/26/2023]
Abstract
Three environmental parameters, i.e. dust concentrations, dust dispersion, and free silica content, were introduced into the traditional indices of the neural network model in order to construct a new prediction index and explore a new method for preventing the incidence of pneumoconiosis with intelligent accuracy and universality. Data of the pneumoconiosis patients from Huabei Mining Group (HBMG) of China from 1980 to 2017 were collected. SPSS22.0 was used to develop the combined models based on Back Propagation (BP) neural network model, Radial Basis Function (RBF) neural network model, and Multiple Linear Regression (MLR) model. The paired sample t-test was performed between the real and predicted values. According to this model, it was predicted that 382 coal workers in HBMG were likely to suffer from pneumoconiosis in 2022 and the incidence rate was 4.48%. It is necessary to take prevention measures and transfer these workers from their current positions. In four combined models, the BP-MLR combined model achieved the optimal error parameters and the most accurate prediction. This study provided a scientific basis for effective control and prevention of the incidence of the pneumoconiosis.
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Affiliation(s)
- Yuyuan Zhang
- College of Mining and Safety Engineering, Shandong University of Science and Technology, Qingdao, Shandong, China
| | - Yansong Zhang
- College of Mining and Safety Engineering, Shandong University of Science and Technology, Qingdao, Shandong, China
| | - Bo Liu
- College of Mining and Safety Engineering, Shandong University of Science and Technology, Qingdao, Shandong, China
| | - Xiangbao Meng
- College of Mining and Safety Engineering, Shandong University of Science and Technology, Qingdao, Shandong, China
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Lei L, Richards JS, Li ZH, Gong YF, Zhang SZ, Xiao N. A framework for assessing local transmission risk of imported malaria cases. Infect Dis Poverty 2019; 8:43. [PMID: 31174612 PMCID: PMC6555958 DOI: 10.1186/s40249-019-0552-6] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/25/2018] [Accepted: 05/17/2019] [Indexed: 11/25/2022] Open
Abstract
Background A key issue in achieving and sustaining malaria elimination is the need to prevent local transmission arising from imported cases of malaria. The likelihood of this occurring depends on a range of local factors, and these can be used to allocate resources to contain transmission. Therefore, a risk assessment and management strategy is required to identify risk indexes for malaria transmission when imported cases occur. These risks also need to be quantified and combined to give a weighted risk index score. This can then be used to allocate the resources to each administrative region to prevent transmission according to the degree of risk. Methods A list of potential risk indexes were generated from a literature review, expert consultation and panel discussion. These were initially classified into 4 first-level indexes including infection source, transmitting conditions, population vulnerability and control capacity. Each of these was then expanded into more detailed second-level indexes. The Delphi method was then used to obtain expert opinion to review and revise these risk indexes over two consecutive rounds to quantify agreement among experts as to their level of importance. Risk indexes were included in the final Transmission Risk Framework if they achieved a weighted importance score ≥ 4. The Analytic Hierarchy Process was then used to calculate the weight allocated to each of the final risk indexes. This was then used to create an assessment framework that can be used to evaluate local transmission risk in different areas. Results Two rounds of Delphi consultation were conducted. Twenty-three experts were used at each round with 100% recovery rate of participant questionnaires. The coordination coefficients (W) for the two rounds of Delphi consultation were 0.341 and 0.423, respectively (P < 0.05). Three first-level indexes and 13 second-level indexes were identified. The Analytic Hierarchy Process was performed to calculate the weight of the indexes. For the first-level indexes, infection source, transmitting conditions, and control capacity, the index weight was 0.5396, 0.2970 and 0.1634 respectively. For the three top second-level indexes, number of imported malaria cases, Anopheles species, and awareness of timely medical visit of patient, the index weight was 0.3382, 0.2475, and 0.1509 respectively. Conclusions An indexed system of transmission risk assessment for imported malaria was established using the Delphi method and the Analytic Hierarchy Process. This was assessed to be an objective and practical tool for assessing transmission risk from imported cases of malaria into China. Electronic supplementary material The online version of this article (10.1186/s40249-019-0552-6) contains supplementary material, which is available to authorized users.
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Affiliation(s)
- Lei Lei
- Jiangxi Provincial Center for Disease Control and Prevention, Nanchang, China
| | - Jack S Richards
- The Macfarlane Burnet Institute for Medical Research and Public Health Ltd, Melbourne, Australia.,Department of Medicine, University of Melbourne, Melbourne, Australia
| | - Zhi-Hong Li
- Jiangxi Provincial Center for Disease Control and Prevention, Nanchang, China
| | - Yan-Feng Gong
- Jiangxi Provincial Center for Disease Control and Prevention, Nanchang, China
| | - Shao-Zai Zhang
- Jiangxi Provincial Center for Disease Control and Prevention, Nanchang, China
| | - Ning Xiao
- National Institute of Parasitic Diseases, Chinese Center for Disease Control and Prevention; Chinese Center for Tropical Diseases Research; WHO Collaborating Centre for Tropical Diseases; National Center for International Research on Tropical Diseases, Ministry of Science and Technology; Key Laboratory of Parasite and Vector Biology, Ministry of Health, Shanghai, China.
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Graber JM. Application of the Delphi method to reduce disability and mortality from coal mine dust lung disease in China; a new approach to an old problem. Occup Environ Med 2018; 75:615-616. [PMID: 29991498 DOI: 10.1136/oemed-2018-105075] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/20/2018] [Revised: 05/28/2018] [Accepted: 06/25/2018] [Indexed: 11/03/2022]
Affiliation(s)
- Judith M Graber
- Department of Epidemiology, Rutgers School of Public Health, Environmental and Occupational Health Sciences Institute, Piscataway, NJ 08854, USA
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