Abstracting ICU Nursing Care Quality Data From the Electronic Health Record.
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.
1 University of Pittsburgh, Pittsburgh, PA, USA.
Jennifer B
JB
Seaman
1 University of Pittsburgh, Pittsburgh, PA, USA.
Anna C
AC
Evans
2 Seton Hill University, Greensburg, PA, USA.
Andrea M
AM
Sciulli
1 University of Pittsburgh, Pittsburgh, PA, USA.
Amber E
AE
Barnato
1 University of Pittsburgh, Pittsburgh, PA, USA.
Susan M
SM
Sereika
3 The Ohio State University, Columbus, OH, USA.
Mary Beth
MB
Happ
D003422:Critical Care; D064648:Critical Care Nursing / Q000592:standards*; D003625:Data Collection; D057286:Electronic Health Records / Q000706:statistics & numerical data*; D006801:Humans; D007362:Intensive Care Units; D011787:Quality of Health Care; D015203:Reproducibility of Results
critical care; data collection tool; electronic health record; intervention testing; nursing practice; quality indicators; tool development