The PRONE score: an algorithm for predicting doctors' risks of formal patient complaints using routinely collected administrative data
Matthew J Spittal, Marie M Bismark, David M Studdert
BMJ QUALITY & SAFETY | BMJ PUBLISHING GROUP | Published : 2015
BACKGROUND: Medicolegal agencies-such as malpractice insurers, medical boards and complaints bodies-are mostly passive regulators; they react to episodes of substandard care, rather than intervening to prevent them. At least part of the explanation for this reactive role lies in the widely recognised difficulty of making robust predictions about medicolegal risk at the individual clinician level. We aimed to develop a simple, reliable scoring system for predicting Australian doctors' risks of becoming the subject of repeated patient complaints. METHODS: Using routinely collected administrative data, we constructed a national sample of 13,849 formal complaints against 8424 doctors. The compla..View full abstract
Awarded by ARC Laureate Fellowship from Australian Research Council
The study was funded by an ARC Laureate Fellowship (FL110100102 to DMS) from the Australian Research Council. The research was conducted independently from the funder.