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Evaluating the influence of data collector training for predictive risk of death models: an observational study.

Arvind RajamaniStephen HuangAshwin SubramaniamMichele ThomsonJinghang LuoAndrew SimpsonAnthony McLeanAnders AnemanThodur Vinodh MadapusiRamanathan LakshmananGordon FlynnLatesh PoojaraJonathan GatwardRaju PusapatiAdam HowardDebbie Odlum
Published in: BMJ quality & safety (2020)
In a fictitious patient dataset, data collection staff without formal training significantly overestimated the severity-of-illness scores and RoDs compared with trained staff. Both groups exhibited wide variability. Strategies to improve practice may include providing adequate training for all data collection staff, refresher training for previously trained staff and auditing the raw data submitted by individual ICUs. The results of this simulated study need revalidation on real patients.
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