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Kong DZ, Yang SH, Zhao H, Hao XW, Zhang TW, Lu Y. Methodology for the selection and evaluation of outcomes for Chinese herbal injection in acute exacerbation of chronic obstructive pulmonary disease (AECOPD): a comprehensive study. Ann Med 2024; 56:2396567. [PMID: 39253851 PMCID: PMC11389646 DOI: 10.1080/07853890.2024.2396567] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/20/2023] [Revised: 07/08/2024] [Accepted: 08/13/2024] [Indexed: 09/11/2024] Open
Abstract
OBJECTIVE To develop a comprehensive framework for selecting outcomes in evaluating the clinical efficacy of Chinese herbal injections and to scientifically select outcomes for the clinical randomized controlled trial (RCT) of Tan-Re-Qing injection intervening AECOPD. METHODS A comprehensive literature review and consensus methods, including focus groups and Delphi surveys, were utilized. RESULTS Literature analysis identified 513 publications, encompassing regulatory guidance, guidelines, expert consensus, and RCTs. Initial dimensions include clinical efficacy, safety, and health economics. Primary outcomes should align with study objectives. Recommended evaluation domains include death, treatment outcome, future impact, quality of life, and safety. Commonly recommended outcomes comprise mortality, arterial blood gases, CAT, exacerbation frequency, adverse events, and lung function. Network meta-analysis identified specific therapeutic efficacy markers (white blood cell count, IL-6, IL-8). Quality of life assessment recommended SF-12, EQ-5D, or CAT. Emphasis on AECOPD frequency and lung function was noted. Delphi survey yielded 41 outcomes across various domains for evaluating Tan-Re-Qing in AECOPD. CONCLUSION The findings contribute to developing a robust and reliable trial design for Tan-Re-Qing injection in AECOPD. The methodology employed in this study ensures a systematic and comprehensive approach to the selection of outcomes for the clinical evaluation of future studies in this field.
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Affiliation(s)
- De Zhao Kong
- Institute of Basic Research in Clinical Medicine, China Academy of Chinese Medical Sciences, Beijing, China
- China Center for Evidence-Based Traditional Chinese Medicine (CCEBTCM), China Academy of Chinese Medical Sciences, Beijing, China
- Liaoning University of Traditional Chinese Medicine, Shenyang, China
| | - Si Hong Yang
- Institute of Basic Research in Clinical Medicine, China Academy of Chinese Medical Sciences, Beijing, China
- China Center for Evidence-Based Traditional Chinese Medicine (CCEBTCM), China Academy of Chinese Medical Sciences, Beijing, China
| | - Hui Zhao
- Institute of Basic Research in Clinical Medicine, China Academy of Chinese Medical Sciences, Beijing, China
- China Center for Evidence-Based Traditional Chinese Medicine (CCEBTCM), China Academy of Chinese Medical Sciences, Beijing, China
| | - Xiu Wei Hao
- Liaoning University of Traditional Chinese Medicine, Shenyang, China
| | - Tong Wu Zhang
- Liaoning University of Traditional Chinese Medicine, Shenyang, China
| | - Yi Lu
- Liaoning University of Traditional Chinese Medicine, Shenyang, China
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Liu M, Yu Q, Liu Y. Developing quality indicators for cancer hospitals in China: a national modified Delphi process. BMJ Open 2024; 14:e082930. [PMID: 38594187 PMCID: PMC11015267 DOI: 10.1136/bmjopen-2023-082930] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/07/2023] [Accepted: 03/19/2024] [Indexed: 04/11/2024] Open
Abstract
OBJECTIVE Although demand and supply of cancer care have been rapidly increasing in recent decades, there is a lack of systemic quality measurement for cancer hospitals in China. This study aimed to develop a set of core indicators for measuring quality of care for cancer hospitals in China. DESIGN The development of quality indicators was based on a literature review and a two-round modified Delphi survey. The theoretical framework and initial indicators were identified through the comprehensive literature review, and the selection of quality indicators relied on experts' consensus on the importance and feasibility of indicators by the modified Delphi process. In addition, indicator weight was identified using the analytical hierarchical process method and percentage weight method. SETTING AND PARTICIPANTS A panel of leading experts including oncologists, cancer care nurses, quality management experts from various regions of China were invited to participate in the two-round modified Delphi process from October to December 2020. A total of 25 experts completed the two-round modified Delphi process. RESULTS The experts reached consensus on a set of 47 indicators, comprising 17 structure indicators, 19 process indicators and 11 outcome indicators. Experts gave much higher weight to outcome indicators (accounting for 53.96% relative weight) than to structure (16.34%) and process (29.70%) indicators. In addition, experts also showed concerns and gave suggestions on data availability of specific outcome indicators. CONCLUSIONS Drawing on the comprehensive literature review and the modified Delphi process, this study developed a core set of quality indicators that can be used to evaluate quality performance of cancer hospitals. This is helpful in supporting quality cancer care in China and will provide new insights into the systemic measurement of cancer care internationally.
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Affiliation(s)
- Meicen Liu
- National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, China
| | - Qingyuan Yu
- School of Health Policy and Management, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, China
| | - Yuanli Liu
- School of Health Policy and Management, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, China
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Zhang X, Yang M, Zhang J, Ye P, Wong RMY, Cheung WH, Armstrong E, Johansen A, Ivers R, Wu X, Tian M. Establishing a Chinese older hip fracture registry for older patients: a Delphi study to define the focus and key variables for this registry. Osteoporos Int 2023; 34:1763-1770. [PMID: 37341729 DOI: 10.1007/s00198-023-06832-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/23/2023] [Accepted: 06/09/2023] [Indexed: 06/22/2023]
Abstract
A national hip fracture registry does not yet exist in China. This is the first to recommend a core variable set for the establishment of a Chinese national hip fracture registry. Thousands of Chinese hospitals will build on this and improve the quality of management for older hip fracture patients. The rapidly ageing population of China already experiences over half a million hip fractures every year. Many countries have developed national hip fracture registries to improve the quality of hip fracture management, but such a registry does not exist in China. The study is aimed at determining the core variables of a national hip fracture registry for older hip fracture patients in China. A rapid literature review was conducted to develop a preliminary pool of variables from existing global hip fracture registries. Two rounds of an e-Delphi survey were conducted with experts. The e-Delphi survey used a Likert 5-point scale and boundary value analysis to filter the preliminary pool of variables. The list of core variables was finalised following an online consensus meeting with the experts. Thirty-one experts participated. Most of the experts have senior titles and have worked in a corresponding area for more than 15 years. The response rate of the e-Delphi was 100% for both rounds. The preliminary pool of 89 variables was established after reviewing 13 national hip fracture registries. With two rounds of the e-Delphi and the expert consensus meeting, 86 core variables were recommended for inclusion in the registry. This study is the first to recommend a core variable set for the establishment of a Chinese national hip fracture registry. The further development of a registry to routinely collect data from thousands of hospitals will build on this work and improve the quality of management for older hip fracture patients in China.
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Affiliation(s)
- X Zhang
- School of Public Health, Harbin Medical University, 157 Baojian Road, Nangang District, Harbin, 150081, China
| | - M Yang
- National Centre of Orthopaedics, Beijing Jishuitan Hospital, Beijing, China.
- Department of Orthopaedics and Traumatology, Beijing Jishuitan Hospital, Peking University Fourth School of Clinical Medicine, 31 Xinjiekou E Street, Xicheng District, Beijing, 100035, China.
| | - J Zhang
- School of Population Health, Faculty of Medicine and Health, University of New South Wales, Sydney, Australia
| | - P Ye
- National Centre for Non-communicable Diseases Control and Prevention, Chinese Centre for Disease Control and Prevention, Beijing, China
| | - R M Y Wong
- Department of Orthopaedics and Traumatology, The Chinese University of Hong Kong, Hong Kong, SAR, China
| | - W-H Cheung
- Department of Orthopaedics and Traumatology, The Chinese University of Hong Kong, Hong Kong, SAR, China
| | - E Armstrong
- School of Population Health, Faculty of Medicine and Health, University of New South Wales, Sydney, Australia
- Falls, Balance and Injury Research Centre, Neuroscience Research Australia, Randwick, Australia
| | - A Johansen
- University Hospital of Wales and School of Medicine, Cardiff University, Cardiff, UK
| | - R Ivers
- School of Population Health, Faculty of Medicine and Health, University of New South Wales, Sydney, Australia
| | - X Wu
- National Centre of Orthopaedics, Beijing Jishuitan Hospital, Beijing, China
- Department of Orthopaedics and Traumatology, Beijing Jishuitan Hospital, Peking University Fourth School of Clinical Medicine, 31 Xinjiekou E Street, Xicheng District, Beijing, 100035, China
| | - M Tian
- School of Public Health, Harbin Medical University, 157 Baojian Road, Nangang District, Harbin, 150081, China.
- The George Institute for Global Health, Faculty of Medicine and Health, University of New South Wales, Sydney, Australia.
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Feng X, Qu Y, Sun K, Luo T, Meng K. Identifying strategic human resource management ability in the clinical departments of public hospitals in China: a modified Delphi study. BMJ Open 2023; 13:e066599. [PMID: 36921938 PMCID: PMC10030578 DOI: 10.1136/bmjopen-2022-066599] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 03/17/2023] Open
Abstract
OBJECTIVES Chinese public hospitals are managed like a bureaucracy, which is divided into two levels of hospital and departmental management. Improving strategic human resource management ability (SHRMA) within clinical departments can improve department performance and service quality, which is an important way for public hospitals to obtain an advantage in a diversified competitive medical market. However, there is a lack of specialised evaluation tools for SHRMA in clinical departments to support this effort. Therefore, this study aims to develop an index for evaluating the SHRMA of clinical departments in public hospitals. STUDY DESIGN AND SETTING The Delphi technique was carried out with 22 experts, and an evaluation index of the SHRMA in the clinical departments of public hospitals was constructed. The weight of each indicator was calculated by the intuitive fuzzy analytic hierarchy process. RESULTS The SHRMA index constructed in this study for the clinical departments in public hospitals includes 5 first-level indicators, 13 second-level indicators and 36 third-level indicators. The first-level indicators are distributed in weight among human resource maintenance (0.204), human resource planning (0.201), human resource development (0.200), human resource stimulation (0.198) and human resource absorption (0.198). The top three weighted indicators on the second level are job analysis and position evaluation (0.105), career management (0.103) and salary incentivisation (0.100). CONCLUSIONS The index constructed in this study is scientific and feasible and is expected to provide an effective tool for the quantitative evaluation of SHRMA in the clinical departments of public hospitals in China.
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Affiliation(s)
- Xingmiao Feng
- School of Public Health, Capital Medical University, Beijing, China
| | - Ying Qu
- Human Resources Department, Xuanwu Hospital Capital Medical University, Beijing, China
| | - Kaijie Sun
- Human Resources Department, Xuanwu Hospital Capital Medical University, Beijing, China
| | - Tao Luo
- Human Resources Department, Xuanwu Hospital Capital Medical University, Beijing, China
| | - Kai Meng
- School of Public Health, Capital Medical University, Beijing, China
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Liu W, Hu M, Chen W. Identifying the Service Capability of Long-Term Care Facilities in China: An e-Delphi Study. Front Public Health 2022; 10:884514. [PMID: 35844860 PMCID: PMC9277176 DOI: 10.3389/fpubh.2022.884514] [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: 02/26/2022] [Accepted: 06/08/2022] [Indexed: 11/23/2022] Open
Abstract
Objective This study develops a group of service capability indicators for long-term care facilities to assess their current conditions and makes it the first step toward the improvement of service capability in China. Methods We constructed an initial indicator framework based on the characteristics of long-term care services and a literature review. Potential indicators were collected, and a 2-round modified web-based Delphi process was conducted by a national multidisciplinary expert panel to construct a service capability evaluation index system. The accepted competencies of indicators were established with mean scores in all three scoring criteria (importance, feasibility, and sensitivity) ≥ 4.0, consensus rate reached 70.0%, and a coefficient of variation ≤ 0.25. Results A new indicator framework covering 2 dimensions of inputs and activities was developed in this study. The initial 35 indicators formed an indicator pool for the Delphi questionnaire. According to the final consensus of the expert panel, the Delphi consultation resulted in an index system comprised 31 tertiary indicators across six subdimensions (i) staffing; (ii) facilities and equipment; (iii) funding; (iv) medical inspection services; (v) health management services; (vi) institutional standard management. Conclusion This study developed a set of indicators suitable for the long-term care system in China and is expected to be applied to measure and improve the service capability of long-term care facilities. In addition, these indicators can be used for comparisons between different LTCFs and provide an evidence basis for the further development of capability assessment tools.
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Affiliation(s)
- Wen Liu
- Health Economics Department, School of Public Health, Fudan University, Shanghai, China
| | - Min Hu
- Health Economics Department, School of Public Health, Fudan University, Shanghai, China
| | - Wen Chen
- Health Economics Department, School of Public Health, Fudan University, Shanghai, China
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Cui C, Meng K. Development of an index system for evaluating the organisational capabilities of primary medical institutions: a modified Delphi study in China. BMJ Open 2021; 11:e055422. [PMID: 34921088 PMCID: PMC8689195 DOI: 10.1136/bmjopen-2021-055422] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/19/2022] Open
Abstract
OBJECTIVE The low performance of primary medical institutions (PMIs) in China is a significant issue. The WHO proposed that the main reason for the failure of the healthcare system in developing countries is poor organisational capabilities. However, there is no international tool for evaluating the organisational capabilities of PMIs. Therefore, this study aimed to develop an index system for evaluating the organisational capabilities of PMIs. DESIGN We searched the literature (English and Chinese) published before June 2020 in the PubMed, China National Knowledge Infrastructure and Wanfang databases to conduct a literature review and develop a preliminary indicator pool. Then, two rounds of Delphi expert consultations were conducted by email from June to September 2020, followed by screening, revision and supplementation of the indicators using the boundary value method. Finally, the analytic hierarchy process was used to determine the weight of the indicators. SETTING The Delphi consultation questionnaire was distributed to the leaders of PMIs in districts D, F and S in Beijing, China. PARTICIPANTS Nineteen leaders of PMIs who had a profound understanding of PMI operations and management and were able to participate in Delphi research from a professional and comprehensive perspective were included in this study. RESULTS The Cr values were 0.76 (first-level indicators) and 0.78 (second-level indicators), indicating that the expert consultation results were accurate and reliable. The result of the expert coordination coefficient test was significant at the p<0.01 level, suggesting that the experts' views were consistent. The organisational capability index system includes 3 first-level indicators, 9 second-level indicators and 37 third-level indicators. CONCLUSIONS An index system for the organisational capabilities of PMIs was developed. This index system is a scoring system that focuses on basic service capabilities, management capabilities and sustainable development capabilities, and it can determine the priority of improvement areas for PMIs.
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Affiliation(s)
- Chengsen Cui
- School of Public Health, Capital Medical University, Beijing, China
| | - Kai Meng
- School of Public Health, Capital Medical University, Beijing, China
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