Data consistency in a voluntary medical incident reporting system.
Voluntary medical incident reporting systems are a valuable source for studying adverse events and near misses. Unfortunately, such systems usually contain a large amount of incomplete and inaccurate reports which negatively affect their utility for medical error research. To investigate the reporting quality and propose solutions towards quality voluntary reports, we employed a content analysis method to examine one-year voluntary medical incident reports of a University Hospital. Results indicate that there is a large amount of inconsistent records within the reports. About 25% of the reports were labeled as "miscellaneous" and "other". Through an in-depth analysis, those "miscellaneous" and "other" were substituted by their real incident types or error descriptions. Analysis shows that the pre-defined reporting categories serve well in general for the voluntary reporting need. In some cases, human factors play a key role in selecting accurate categories since reporters lack time or information to complete the report. We suggest that a human-centered, ontology based system design for voluntary reporting is feasible. Such a design could help improve the completeness and accuracy, and interoperability among national and international standards.
Gong
Yang
Y
Department of Health Management and Informatics, University of Missouri, Columbia, MO 65212, USA. gongyang@health.missouri.edu
D003625:Data Collection / Q000706:statistics & numerical data*; D006785:Hospitals, University / Q000706:statistics & numerical data*; D006801:Humans; D019300:Medical Errors / Q000145:classification / Q000706:statistics & numerical data; D012308:Risk Management / Q000706:statistics & numerical data*; D013597:Systems Analysis