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一次收集,多次使用:腰痛患者市级电子医疗记录的研究潜力

Collect Once - Use Many Times: The Research Potential of Low Back Pain Patients' Municipal Electronic Healthcare Records.

作者信息

Toftdahl Anne Katrine Skjølstrup, Pape-Haugaard Louise Bilenberg, Palsson Thorvaldur Skuli, Villumsen Morten

机构信息

Department of Physiotherapy, University College of Northern Denmark, Aalborg East, Denmark.

Department of Health Science and Technology, Aalborg University, Aalborg East, Denmark.

出版信息

Stud Health Technol Inform. 2018;247:211-215.

Abstract

Collect Once - Use Many Times can possibly increase the research potential of clinical data from electronic healthcare records (EHR). The objective of this study was to achieve an increased understanding of the research potential of low back pain patients' municipal EHR by assessing the data quality. This explanatory sequentially mixed-methods case study consists of descriptive- and content analysis. The descriptive analysis was based on data extracted from the municipal EHR. The indicators chosen were pain and physical function. Included subjects were low back pain patients in the Northern Denmark. For the content analysis, clinical notes from the municipal EHR was used. The descriptive analysis (n=172) showed that the outcome measure for pain was documented in 50% of the municipal EHR and the outcome measure for physical function was documented in 48% of the municipal EHR. The content analysis (n=5) revealed imprecise, inconsistent, and nonsystematic use of outcome measures. In conclusion, the poor data quality observed is a potential barrier for introducing the Collect Once - Use Many Times paradigm, which is a prerequisite for reusing clinical data for quality assessment and research purposes.

摘要

一次收集、多次使用有可能提高电子健康记录(EHR)中临床数据的研究潜力。本研究的目的是通过评估数据质量,加深对腰痛患者市政EHR研究潜力的理解。这项解释性顺序混合方法的案例研究包括描述性分析和内容分析。描述性分析基于从市政EHR中提取的数据。选择的指标是疼痛和身体功能。纳入的受试者是丹麦北部的腰痛患者。对于内容分析,使用了市政EHR中的临床记录。描述性分析(n = 172)显示,50%的市政EHR记录了疼痛的结果测量,48%的市政EHR记录了身体功能的结果测量。内容分析(n = 5)揭示了结果测量的使用不精确、不一致且无系统性。总之,观察到的数据质量差是引入一次收集、多次使用范式的潜在障碍,而该范式是将临床数据用于质量评估和研究目的的先决条件。

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