alexa Interrater reliability: completing the methods description in medical records review studies.
Pediatrics

Pediatrics

Pediatric Dental Care

Author(s): Yawn BP, Wollan P

Abstract Share this page

Abstract In medical records review studies, information on the interrater reliability (IRR) of the data is seldom reported. This study assesses the IRR of data collected for a complex medical records review study. Elements selected for determining IRR included "demographic" data that require copying explicit information (e.g., gender, birth date), "free-text" data that require identifying and copying (e.g., chief complaints and diagnoses), and data that require abstractor judgment in determining what to record (e.g., whether heart disease was considered). Rates of agreement were assessed by the greatest number of answers (one to all n) that were the same. The IRR scores improved over time. At 1 month, the reliability for demographic data elements was very good, for free-text data elements was good, but for data elements requiring abstractor judgment was unacceptable (only 3.4 of six answers agreed, on average). All assessments after 6 months showed very good to excellent IRR. This study demonstrates that IRR can be evaluated and summarized, providing important information to the study investigators and to the consumer for assessing the reliability of the data and therefore the validity of the study results and conclusions. IRR information should be required for all large medical records studies. This article was published in Am J Epidemiol and referenced in Pediatric Dental Care

Relevant Expert PPTs

Relevant Speaker PPTs

Recommended Conferences

Relevant Topics

Peer Reviewed Journals
 
Make the best use of Scientific Research and information from our 700 + peer reviewed, Open Access Journals
International Conferences 2017-18
 
Meet Inspiring Speakers and Experts at our 3000+ Global Annual Meetings

Contact Us

Agri, Food, Aqua and Veterinary Science Journals

Dr. Krish

agrifoodaquavet@omicsonline.com

1-702-714-7001 Extn: 9040

Clinical and Biochemistry Journals

Datta A

clinical_biochem@omicsonline.com

1-702-714-7001Extn: 9037

Business & Management Journals

Ronald

business@omicsonline.com

1-702-714-7001Extn: 9042

Chemical Engineering and Chemistry Journals

Gabriel Shaw

chemicaleng_chemistry@omicsonline.com

1-702-714-7001 Extn: 9040

Earth & Environmental Sciences

Katie Wilson

environmentalsci@omicsonline.com

1-702-714-7001Extn: 9042

Engineering Journals

James Franklin

engineering@omicsonline.com

1-702-714-7001Extn: 9042

General Science and Health care Journals

Andrea Jason

generalsci_healthcare@omicsonline.com

1-702-714-7001Extn: 9043

Genetics and Molecular Biology Journals

Anna Melissa

genetics_molbio@omicsonline.com

1-702-714-7001 Extn: 9006

Immunology & Microbiology Journals

David Gorantl

immuno_microbio@omicsonline.com

1-702-714-7001Extn: 9014

Informatics Journals

Stephanie Skinner

omics@omicsonline.com

1-702-714-7001Extn: 9039

Material Sciences Journals

Rachle Green

materialsci@omicsonline.com

1-702-714-7001Extn: 9039

Mathematics and Physics Journals

Jim Willison

mathematics_physics@omicsonline.com

1-702-714-7001 Extn: 9042

Medical Journals

Nimmi Anna

medical@omicsonline.com

1-702-714-7001 Extn: 9038

Neuroscience & Psychology Journals

Nathan T

neuro_psychology@omicsonline.com

1-702-714-7001Extn: 9041

Pharmaceutical Sciences Journals

John Behannon

pharma@omicsonline.com

1-702-714-7001Extn: 9007

Social & Political Science Journals

Steve Harry

social_politicalsci@omicsonline.com

1-702-714-7001 Extn: 9042

 
© 2008-2017 OMICS International - Open Access Publisher. Best viewed in Mozilla Firefox | Google Chrome | Above IE 7.0 version