Mashoufi Mehrnaz, Ayatollahi Haleh, Khorasani-Zavareh Davoud
PhD Student of Health Information Management, School of Health Management and Information Sciences, Tehran Iran University of Medical Sciences, Tehran, Iran.
School of Health Management and Information Sciences, Iran University of Medical Sciences, Tehran, Iran.
Open Med Inform J. 2018 May 31;12:19-32. doi: 10.2174/1874431101812010019. eCollection 2018.
Data quality is an important issue in emergency medicine. The unique characteristics of emergency care services, such as high turn-over and the speed of work may increase the possibility of making errors in the related settings. Therefore, regular data quality assessment is necessary to avoid the consequences of low quality data. This study aimed to identify the main dimensions of data quality which had been assessed, the assessment approaches, and generally, the status of data quality in the emergency medical services.
The review was conducted in 2016. Related articles were identified by searching databases, including Scopus, Science Direct, PubMed and Web of Science. All of the review and research papers related to data quality assessment in the emergency care services and published between 2000 and 2015 (n=34) were included in the study.
The findings showed that the five dimensions of data quality; namely, data completeness, accuracy, consistency, accessibility, and timeliness had been investigated in the field of emergency medical services. Regarding the assessment methods, quantitative research methods were used more than the qualitative or the mixed methods. Overall, the results of these studies showed that data completeness and data accuracy requires more attention to be improved.
In the future studies, choosing a clear and a consistent definition of data quality is required. Moreover, the use of qualitative research methods or the mixed methods is suggested, as data users' perspectives can provide a broader picture of the reasons for poor quality data.
数据质量是急诊医学中的一个重要问题。急诊护理服务的独特特征，如高周转率和工作速度，可能会增加在相关环境中出错的可能性。因此，定期进行数据质量评估对于避免低质量数据的后果是必要的。本研究旨在确定已评估的数据质量的主要维度、评估方法，以及总体而言，急诊医疗服务中的数据质量状况。
该综述于2016年进行。通过搜索数据库，包括Scopus、Science Direct、PubMed和Web of Science，来识别相关文章。所有与2000年至2015年期间发表的急诊护理服务数据质量评估相关的综述和研究论文（n = 34）都纳入了本研究。
研究结果表明，急诊医疗服务领域已对数据质量的五个维度进行了调查，即数据完整性、准确性、一致性、可访问性和及时性。关于评估方法，定量研究方法的使用多于定性或混合方法。总体而言，这些研究的结果表明，数据完整性和数据准确性需要更多关注以得到改善。
在未来的研究中，需要选择一个清晰且一致的数据质量定义。此外，建议使用定性研究方法或混合方法，因为数据使用者的观点可以更全面地呈现低质量数据的原因。
