Does prediction of outcome alter patient management?

Lancet. 1993 Jun 12;341(8859):1487-91. doi: 10.1016/0140-6736(93)90631-p.


A patient's prognosis is a key factor for the clinicians involved in management. We set out to determine if provision of computer-based predictions of outcome after severe head injury resulted in measurable changes in patient management. In particular, we wondered whether introduction of the predictive system would alter the relation between severity of injury and "intensity" of management. 1025 patients admitted to four British neurosurgical units between 1986 and 1989 following a severe head injury, and who were either in coma for 6 h or had an operation for acute intracranial haematoma, were studied. Specified aspects of intensive management were recorded and all patients were followed up after six months. The study had three phases: a baseline period of at least one year before the introduction of computer-based outcome prediction, one year when predictions were provided at specified times, and a final six months when prediction was withdrawn. While predictions were being provided, there was an increase in the use of specified aspects of intensive care in patients predicted to have a good outcome, but a 39% reduction in the use of these same aspects of intensive care in patients predicted to have the worst outcome. There was no evidence that the provision of predictions affected overall outcome, length of stay, or the recording of explicit decisions to limit treatment. We have demonstrated that the introduction of a routine prediction service can alter patient management.

Publication types

  • Multicenter Study
  • Research Support, Non-U.S. Gov't

MeSH terms

  • Adult
  • Craniocerebral Trauma / diagnosis
  • Craniocerebral Trauma / mortality
  • Craniocerebral Trauma / therapy*
  • Critical Care / statistics & numerical data*
  • Decision Making
  • Decision Support Techniques*
  • Glasgow Coma Scale
  • Humans
  • Intensive Care Units / statistics & numerical data
  • Length of Stay
  • Logistic Models
  • Outcome Assessment, Health Care*
  • Prognosis
  • Treatment Outcome
  • United Kingdom / epidemiology