| Literature DB >> 27605024 |
Jennifer B Seaman1, Anna C Evans1, Andrea M Sciulli2, Amber E Barnato1, Susan M Sereika1, Mary Beth Happ3.
Abstract
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.Entities:
Keywords: critical care; data collection tool; electronic health record; intervention testing; nursing practice; quality indicators; tool development
Mesh:
Year: 2016 PMID: 27605024 PMCID: PMC5340637 DOI: 10.1177/0193945916665814
Source DB: PubMed Journal: West J Nurs Res ISSN: 0193-9459 Impact factor: 1.967