Construction of natural population cohort on telephone follow-up management quality control system and discussion regarding critical issues by REDCap system
10.3760/cma.j.cn112338-20230306-00125
- VernacularTitle: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
- Author:
Yating HUO
1
;
Jingchun LIU
;
Suixia CAO
;
Yutong WANG
;
Huimeng LIU
;
Binyan ZHANG
;
Peiying YANG
;
Qian HUANG
;
Mengchun WANG
;
Chunlai YANG
;
Lingxia ZENG
;
Shaonong DANG
;
Hong YAN
;
Baibing MI
Author Information
1. 西安交通大学医学部公共卫生学院流行病与卫生统计学系，西安 710061
- Keywords:
Cohort study;
Telephone follow-up;
Quality control
- From:
Chinese Journal of Epidemiology
2023;44(12):1970-1976
- CountryChina
- Language:Chinese
-
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.
