@article{ref1,
title="Medical Record Review Conduction Model for Improving Interrater Reliability of Abstracting Medical-Related Information",
journal="Evaluation and the health professions",
year="2009",
author="Engel, Lisa and Henderson, Courtney and Fergenbaum, Jennifer and Colantonio, A.",
volume="32",
number="3",
pages="281-298",
abstract="Medical record review (MRR) is often used in clinical research and evaluation, yet there is limited literature regarding best practices in conducting a MRR, and there are few studies reporting interrater reliability (IRR) from MRR data. The aim of this research was twofold: (a) to develop a MRR abstraction tool and standardize the MRR process and (b) to examine the IRR from MRR data. This study introduces the MRR-Conduction Model, which was used to implement a MRR, and examines the IRR between two abstractors who collected preinjury medical and psychiatric, incident-related medical and postinjury head symptom information from the medical records of 47 neurologically injured workers. Results showed that the percentage agreement was ≥85% and the unweighted κ statistic was ≥.60 for most variables, indicating substantial IRR. An effective and reliable MRR to abstract medical-related information requires planning and time. The MRR-Conduction Model is proposed to guide the process of creating a MRR.<p />",
language="",
issn="0163-2787",
doi="10.1177/0163278709338561",
url="http://dx.doi.org/10.1177/0163278709338561"
}