| 霍亚婷,刘静春,曹岁霞,王予童,刘卉萌,张彬艳,杨佩莹,黄茜,王梦纯,杨春来,曾令霞,党少农,颜虹,米白冰.基于REDCap系统建设自然人群队列电话随访管理质量控制系统及关键问题探讨[J].Chinese journal of Epidemiology,2023,44(12):1970-1976 |
| 基于REDCap系统建设自然人群队列电话随访管理质量控制系统及关键问题探讨 |
| Construction of natural population cohort on telephone follow-up management quality control system and discussion regarding critical issues by REDCap system |
| Received:March 06, 2023 |
| DOI：10.3760/cma.j.cn112338-20230306-00125 |
| KeyWord: 队列研究 电话随访 质量控制 |
| English Key Word: Cohort study Telephone follow-up Quality control |
| FundProject:国家自然科学基金（82103944）；国家重点研发计划（2017YFC0907200，2017YFC0907201）；陕西省科技资源开放共享平台（2023-CX-PT-47） |
| Author Name | Affiliation | E-mail | | Huo Yating | Department of Epidemiology and Biostatistics, School of Public Health, Xi'an Jiaotong University Health Science Center, Xi'an 710061, China
Shaanxi Open Sharing Platform of Critical Disease Prevention and Big Health Data Science, Xi'an 710061, China | | | Liu Jingchun | Department of Epidemiology and Biostatistics, School of Public Health, Xi'an Jiaotong University Health Science Center, Xi'an 710061, China
Shaanxi Open Sharing Platform of Critical Disease Prevention and Big Health Data Science, Xi'an 710061, China | | | Cao Suixia | Department of Epidemiology and Biostatistics, School of Public Health, Xi'an Jiaotong University Health Science Center, Xi'an 710061, China
Shaanxi Open Sharing Platform of Critical Disease Prevention and Big Health Data Science, Xi'an 710061, China | | | Wang Yutong | Department of Epidemiology and Biostatistics, School of Public Health, Xi'an Jiaotong University Health Science Center, Xi'an 710061, China
Shaanxi Open Sharing Platform of Critical Disease Prevention and Big Health Data Science, Xi'an 710061, China | | | Liu Huimeng | Shaanxi Open Sharing Platform of Critical Disease Prevention and Big Health Data Science, Xi'an 710061, China
Department of Occupational and Environmental Health, School of Public Health, Xi'an Jiaotong University Health Science Center, Xi'an 710061, China | | | Zhang Binyan | Department of Epidemiology and Biostatistics, School of Public Health, Xi'an Jiaotong University Health Science Center, Xi'an 710061, China
Shaanxi Open Sharing Platform of Critical Disease Prevention and Big Health Data Science, Xi'an 710061, China | | | Yang Peiying | Department of Epidemiology and Biostatistics, School of Public Health, Xi'an Jiaotong University Health Science Center, Xi'an 710061, China
Shaanxi Open Sharing Platform of Critical Disease Prevention and Big Health Data Science, Xi'an 710061, China | | | Huang Qian | Department of Epidemiology and Biostatistics, School of Public Health, Xi'an Jiaotong University Health Science Center, Xi'an 710061, China
Shaanxi Open Sharing Platform of Critical Disease Prevention and Big Health Data Science, Xi'an 710061, China | | | Wang Mengchun | Department of Epidemiology and Biostatistics, School of Public Health, Xi'an Jiaotong University Health Science Center, Xi'an 710061, China
Shaanxi Open Sharing Platform of Critical Disease Prevention and Big Health Data Science, Xi'an 710061, China | | | Yang Chunlai | Department of Epidemiology and Biostatistics, School of Public Health, Xi'an Jiaotong University Health Science Center, Xi'an 710061, China
Shaanxi Open Sharing Platform of Critical Disease Prevention and Big Health Data Science, Xi'an 710061, China | | | Zeng Lingxia | Department of Epidemiology and Biostatistics, School of Public Health, Xi'an Jiaotong University Health Science Center, Xi'an 710061, China
Key Laboratory for Disease Prevention and Control and Health Promotion of Shaanxi Province, Xi'an 710061, China | | | Dang Shaonong | Department of Epidemiology and Biostatistics, School of Public Health, Xi'an Jiaotong University Health Science Center, Xi'an 710061, China
Key Laboratory for Disease Prevention and Control and Health Promotion of Shaanxi Province, Xi'an 710061, China | | | Yan Hong | Department of Epidemiology and Biostatistics, School of Public Health, Xi'an Jiaotong University Health Science Center, Xi'an 710061, China
Key Laboratory for Disease Prevention and Control and Health Promotion of Shaanxi Province, Xi'an 710061, China | | | Mi Baibing | Department of Epidemiology and Biostatistics, School of Public Health, Xi'an Jiaotong University Health Science Center, Xi'an 710061, China
Key Laboratory for Disease Prevention and Control and Health Promotion of Shaanxi Province, Xi'an 710061, China | xjtu.mi@xjtu.edu.cn |
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| Abstract: |
| 随着大型自然人群队列基线调查工作普遍完成，如何开展常态化的随访已成为进一步提升队列建设质量、保证队列建设可持续发展的关键。经典的队列随访有重复调查、常规监测、社区定向监测等，但在实际应用中，普遍存在成本高、难度大、错报率高等问题。电话随访具有成本低、反应快、质量高的特点，成为重要补充手段。但其组织难度大、质量控制（质控）困难、应答率低且管理水平参差不齐，限制了其在大型自然人群队列研究中的广泛应用。本研究借鉴客户关系管理理念，基于西北区域自然人群队列随访现实需求，依托REDCap系统搭建自然人群队列电话随访管理质控系统，对电话随访在组织架构、项目管理、数据采集和过程质控等实施关键问题提供针对性的解决方案，全面提升电话随访水平，进而提升随访的质量和效率，以期为新建队列和现有队列研究提供常态化随访方案及高效质控工具。 |
| English Abstract: |
| With completing a baseline survey of a large natural population cohort, conducting regular follow-up has become a key factor in further improving the quality of cohort construction and ensuring its sustainable development. Typical cohort follow-up methods include repeat surveys, routine monitoring, and community-oriented surveillance. However, in practical applications, there are often issues such as high costs, difficulty, and high error rates. Telephone follow-up is an important supplementary method to the methods mentioned above, as it has the characteristics of low cost, fast response, and high quality. However, the with difficult organization, quality control is challenging, response rates are low, and management levels vary widely, which limits its widespread use in large-scale population cohort studies. Given the above problems, this study draws on customer relationship management based on the actual needs of the China Northwest Cohort follow-up. It relies on the REDCap electronic data collection platform to build a telephone follow-up management and quality control system. Targeted solutions are provided for key issues in telephone follow-up implementation, including organizational structure, project management, data collection, and process quality control, to improve the quality control level of telephone follow-up comprehensively and thereby enhance the quality and efficiency of follow-up. We hope to provide standardized follow-up programs and efficient quality control tools for newly established and existing cohort studies. |
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