ArticleInjury prevention : journal of the International Society for Child and Adolescent Injury Prevention2003
Routine narrative analysis as a screening tool to improve data quality.
Article in Injury prevention : journal of the International Society for Child and Adolescent Injury Prevention, 2003. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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Who cites it
6 citing papers in PubMed.
- A Review of Data Quality Assessment in Emergency Medical Services.The open medical informatics journal · 2018Review
- The Extent of Consumer Product Involvement in Paediatric Injuries.International journal of environmental research and public health · 2016Article
- All Wales Injury Surveillance System revised: development of a population-based system to evaluate single-level and multilevel interventions.Injury prevention : journal of the International Society for Child and Adolescent Injury Prevention · 2016Article
- Injury narrative text classification using factorization model.BMC medical informatics and decision making · 2015Article
- Identifying work related injuries: comparison of methods for interrogating text fields.BMC medical informatics and decision making · 2010Article
- Welding related occupational eye injuries: a narrative analysis.Injury prevention : journal of the International Society for Child and Adolescent Injury Prevention · 2005Article
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Authors and funding
2 authors.
Funding
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Abstract
aimTo determine whether narrative information in emergency department surveillance systems can be systematically interrogated to improve our understanding of the causes of injury.
methodsScreening algorithms for location, intent, and activity were developed from structured analysis of narrative data from 98999 records. The algorithms were then tested on a 50000 record database containing entries in both of the two narrative fields. A proxy gold standard was defined as the total extract using both code and narrative. Sensitivity and specificity of the emergency department coding and narrative algorithms was calculated.
resultsThe proportion of records carrying an informative emergency department code was higher in records containing narrative-the percentage of causes coded "not know" dropped by 28.3%. The sensitivity of coded data varied from 42% to 98 % and from 33% to 99% for narrative data. Narrative analysis increased the percentage of home injuries identified by 19%, assaults by 26%, and rugby injuries by 137%.
conclusionsUsing a small amount of narrative is a practical and effective means of developing more informative injury causation data in an emergency department based surveillance system. It allows for internal validation of the codes and for the identification of emerging hazards without adding more "tick boxes" or further burdening data entry clerks.
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