Skip to main content
Study

The PRONE score: an algorithm for predicting doctors' risks of formal patient complaints using routinely collected administrative data.

Spittal MJ, Bismark MM, Studdert DM. The PRONE score: an algorithm for predicting doctors' risks of formal patient complaints using routinely collected administrative data. BMJ Qual Saf. 2015;24(6):360-8. doi:10.1136/bmjqs-2014-003834.

Save

Print

May 27, 2015
Spittal MJ, Bismark MM, Studdert DM. BMJ Qual Saf. 2015;24:360-8.

Past studies have found a correlation between patient complaints and patient safety problems. Researchers sought to identify physicians at highest risk for a second patient complaint using routinely collected administrative data. They developed a risk prediction model which predicted future complaints with reasonable accuracy. Factors such as procedural specialty, male gender, and time since prior complaint were associated with a subsequent patient complaint. Application of this model has the potential to allow real-time identification of physicians at risk for further patient complaints and possible litigation. Actions to reduce future litigation risk—such as directed education, referral to a regulatory agency, or notification of the risk of future complaints—could be appropriately targeted based on this prediction model. A related editorial urges prompt and rigorous investigation of patient complaints.

Save

Print

Cite
Citation

Spittal MJ, Bismark MM, Studdert DM. The PRONE score: an algorithm for predicting doctors' risks of formal patient complaints using routinely collected administrative data. BMJ Qual Saf. 2015;24(6):360-8. doi:10.1136/bmjqs-2014-003834.