Linked Life Data

19399554

Source:http://linkedlifedata.com/resource/pubmed/id/19399554

Statements in which the resource exists as a subject.
PredicateObject
rdf:type
lifeskim:mentions
pubmed:issue
4
pubmed:dateCreated
2009-12-21
pubmed:abstractText
The aim of this study was to determine the accuracy of dysphagia coding using the International Classification of Diseases version 9 (ICD-9) code 787.2. We used the administrative database of a tertiary hospital and sequential videofluorographic swallowing study (VFSS) reports for patients admitted to the same hospital from January to June 2007. The VFSS reports were abstracted and the hospital's database was queried to abstract the coding associated with the admission during which the VFSS was performed. The VFSS and administrative data were merged for data analysis. Dysphagia was coded (using code 787.2) in 36 of 168 cases that had a VFSS. Of these, 34 had dysphagia diagnosed by VFSS (our gold standard) and one had a prior history of dysphagia. Code 787.2 had sensitivity of 22.8, specificity of 89.5, and positive and negative predictive values of 94.4 and 12.9, respectively. Dysphagia was largely undercoded in this database, but when the code was present those individuals were very likely to be dysphagic. Selection of dysphagic cases using the ICD-9 code is appropriate for within-group comparisons. Absence of the code, however, is not a good predictor of the absence of dysphagia.
pubmed:language
eng
pubmed:journal
pubmed:citationSubset
IM
pubmed:status
MEDLINE
pubmed:month
Dec
pubmed:issn
1432-0460
pubmed:author
pubmed:issnType
Electronic
pubmed:volume
24
pubmed:owner
NLM
pubmed:authorsComplete
Y
pubmed:pagination
398-402
pubmed:meshHeading
pubmed:year
2009
pubmed:articleTitle
Validation of ICD-9 Code 787.2 for identification of individuals with dysphagia from administrative databases.
pubmed:affiliation
Department of Physical Medicine and Rehabilitation, Johns Hopkins University, Baltimore, MD, 21287, USA. mgonzal5@jhmi.edu
pubmed:publicationType
Journal Article, Validation Studies