Seaman Jennifer B, Evans Anna C, Sciulli Andrea M, Barnato Amber E, Sereika Susan M, Happ Mary Beth
1 University of Pittsburgh, Pittsburgh, PA, USA.
2 Seton Hill University, Greensburg, PA, USA.
West J Nurs Res. 2017 Sep;39(9):1271-1288. doi: 10.1177/0193945916665814. Epub 2016 Sep 7.
The electronic health record is a potentially rich source of data for clinical research in the intensive care unit setting. We describe the iterative, multi-step process used to develop and test a data abstraction tool, used for collection of nursing care quality indicators from the electronic health record, for a pragmatic trial. We computed Cohen's kappa coefficient (κ) to assess interrater agreement or reliability of data abstracted using preliminary and finalized tools. In assessing the reliability of study data ( n = 1,440 cases) using the finalized tool, 108 randomly selected cases (10% of first half sample; 5% of last half sample) were independently abstracted by a second rater. We demonstrated mean κ values ranging from 0.61 to 0.99 for all indicators. Nursing care quality data can be accurately and reliably abstracted from the electronic health records of intensive care unit patients using a well-developed data collection tool and detailed training.
电子健康记录是重症监护病房环境下临床研究潜在的丰富数据来源。我们描述了用于开发和测试一种数据提取工具的迭代多步骤过程,该工具用于从电子健康记录中收集护理质量指标,以进行一项实用试验。我们计算了科恩kappa系数(κ),以评估使用初步和最终工具提取的数据的评分者间一致性或可靠性。在使用最终工具评估研究数据(n = 1440例)的可靠性时,由第二位评分者独立提取108例随机选择的病例(前半样本的10%;后半样本的5%)。我们证明了所有指标的平均κ值范围为0.61至0.99。使用完善的数据收集工具和详细培训,可以从重症监护病房患者的电子健康记录中准确可靠地提取护理质量数据。