Centre for Digital Transformation (CDT), School of Computing and Information Technology (SCIT), Faculty of Engineering and Information Sciences (EIS), University of Wollongong (UOW), Wollongong, New South Wales, Australia; Jiangxi Provincial Centre for Disease Control and Prevention, Nanchang, Jiangxi, PR China.
Centre for Digital Transformation (CDT), School of Computing and Information Technology (SCIT), Faculty of Engineering and Information Sciences (EIS), University of Wollongong (UOW), Wollongong, New South Wales, Australia; Illawarra Health and Medical Research Institute, Wollongong, New South Wales, Australia.
Int J Med Inform. 2021 Jan;145:104306. doi: 10.1016/j.ijmedinf.2020.104306. Epub 2020 Oct 22.
To qualitatively evaluate the quality of the data collection process used by the Chinese national HIV/AIDS data repository (CRIMS), using a four-dimensional (4D) framework. The process is vital for the acquisition of high-quality data for ending the HIV/AIDS epidemic in China.
The study was carried out in China from September 2014 to April 2015. Stratified convenient sampling was conducted to recruit 28 study participants including health administrators, public health professionals and clinicians. Data were collected through semi-structured interviews with the participants and from field observations in six hospitals. Content analysis was conducted following the 4D Framework.
61 percent of the facilitators and 74 percent of the barriers of the 4D Framework were confirmed in the CRIMS data collection process. The CRIMS achieved better-quality data collection management. The perceived gaps primarily included: impractical data collection protocol and invalid quality assessment mechanism for data collection management; weak leadership and unsupportive organizational policy for data collection environment; poor communication and job fatigue for data collection personnel; and inflexibility and inaccessibility of data collection system. Areas for improvement included: engaging frontline staff in the design of data collection protocol, standardizing quality assurance procedures, strengthening leadership, recognizing data collector's contributions, and meeting end-users' needs for the CRIMS.
The findings generated knowledge about the quality of the CRIMS data collection process. The 4D Framework has potential as an evaluation tool for decision-makers on the improvement of the public health data collection process.
采用四维度（4D）框架，对中国国家艾滋病病毒/艾滋病数据存储库（CRIMS）使用的数据收集过程进行定性评估。该过程对于获取中国终结艾滋病疫情的高质量数据至关重要。
本研究于 2014 年 9 月至 2015 年 4 月在中国进行。采用分层便利抽样法招募了 28 名研究参与者，包括卫生行政人员、公共卫生专业人员和临床医生。通过对参与者的半结构式访谈和对六家医院的实地观察收集数据。采用 4D 框架进行内容分析。
CRIMS 数据收集过程中证实了 4D 框架的 61%的促进因素和 74%的障碍因素。CRIMS 实现了更好质量的数据收集管理。感知差距主要包括：数据收集协议不切实际，数据收集管理质量评估机制无效；数据收集环境领导力薄弱，组织政策不支持；数据收集人员沟通不畅，工作疲劳；数据收集系统缺乏灵活性和可及性。需要改进的领域包括：让一线工作人员参与数据收集协议的设计，规范质量保证程序，加强领导力，认可数据收集人员的贡献，并满足 CRIMS 的最终用户需求。
研究结果提供了关于 CRIMS 数据收集过程质量的知识。4D 框架有可能成为决策者改进公共卫生数据收集过程的评估工具。
