Browse by author
Lookup NU author(s): Dr Barbara Gregson
Full text for this publication is not currently held within this repository. Alternative links are provided below where available.
Background: The BrainIT group works collaboratively on developing standards for collection and analyses of data from brain injured patients towards providing a more efficient infrastructure for assessing new health technology. Materials and methods Over a 2 year period, core dataset data (grouped by nine categories) were collected from 200 head-injured patients by local nursing staff. Data were uploaded by the BrainIT web and random samples of received data were selected automatically by computer for validation by data validation (DV) research nurse staff against gold standard sources held in the local centre. Validated data was compared with original data sent and percentage error rates calculated by data category. Findings Comparisons, 19,461, were made in proportion to the size of the data received with the largest number checked in laboratory data (5,667) and the least in the surgery data (567). Error rates were generally less than or equal to 6%, the exception being the surgery data class where an unacceptably high error rate of 34% was found. Conclusions: The BrainIT core dataset (with the exception of the surgery classification) is feasible and accurate to collect. The surgery classification needs to be revised.
Author(s): Shaw M, Piper I, Chambers I, Citerio G, Enblad P, Gregson B, Howells T, Kiening K, Mattern J, Nilsson P, Ragauskas A, Sahuquillo J, Yau YH
Editor(s): Manley, G.T., Hemphill, C., Stiver, S.
Publication type: Book Chapter
Publication status: Published
Book Title: Intracranial pressure and brain monitoring XIII
Series Title: Acta Neurochirurgica Supplementum
Place Published: Vienna
Notes: The XIII International symposium on Intracranial pressure and brain monitoring, july 22-26, 2007, in San Francisco, CA, USA.
Library holdings: Search Newcastle University Library for this item