GESTIÓN EN SALUD PÚBLICA: AHRQ Patient Safety Network ► The PRONE score: an algorithm for predicting doctors' risks of formal patient complaints using routinely collected administrative data.

sábado, 30 de mayo de 2015

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

AHRQ Patient Safety Network

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

Spittal MJ, Bismark MM, Studdert DM. BMJ Qual Saf. 2015;24:360-368.

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.

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