提高国家医院出院数据系统数据质量的策略：一项德尔菲研究
Strategies for improving the data quality in national hospital discharge data system: a delphi study.
作者信息
Sadoughi Farahnaz, Mahmoudzadeh-Sagheb Zahra, Ahmadi Maryam
机构信息
Department of Health Information Management, School of Health management and Information Sciences, Iran University of Medical Sciences, Tehran, Iran.
出版信息
Acta Inform Med. 2013 Dec;21(4):261-5. doi: 10.5455/aim.2013.21.261-265. Epub 2013 Dec 4.
INTRODUCTION
National hospital discharge data system can play a critical role in community health assessment, disease surveillance, strategic planning, policymaking, service quality control, and research. Moreover, the quality of hospital discharge data affects the usefulness of the data and is one of the prerequisites for effective utilization of the data. Thus, the present study aimed to identify the necessary actions for improving the data quality in the national hospital discharge data system and present a model for Iran based on the experiences of England, Canada, and New Zealand.
METHODS
In doing so, the measures performed in these countries were investigated. The related data were organized in six categories of standards and procedures, training and coordination with the users, assurance from the capability of the system's software, data modification, data quality control, and documentation and reporting the data quality. According to the gathered data, the primary model was designed. Then, the model was assessed using a two-round Delphi technique by 33 and 31 experts, respectively.
CONCLUSION
According to the findings, a model was presented in order to improve the data quality of Iran's national hospital discharge data system.
引言
国家医院出院数据系统在社区健康评估、疾病监测、战略规划、政策制定、服务质量控制和研究中发挥着关键作用。此外，医院出院数据的质量会影响数据的实用性，是有效利用这些数据的先决条件之一。因此，本研究旨在确定提高国家医院出院数据系统数据质量的必要措施，并根据英国、加拿大和新西兰的经验为伊朗提出一个模型。
方法
为此，对这些国家采取的措施进行了调查。相关数据被整理为标准与程序、与用户的培训和协调、系统软件能力保证、数据修改、数据质量控制以及数据质量的记录与报告六类。根据收集到的数据设计了初步模型。然后，分别由33名和31名专家采用两轮德尔菲技术对该模型进行评估。
结论
根据研究结果，提出了一个旨在提高伊朗国家医院出院数据系统数据质量的模型。
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