The ability of triggers to retrospectively predict potentially preventable adverse events in a sample of deceased patients.

ABSTRACT: Several trigger systems have been developed to screen medical records of hospitalized patients for adverse events (AEs). Because it's too labor-intensive to screen the records of all patients, usually a sample is screened. Our sample consists of patients who died during their stay because chances of finding preventable AEs in this subset are highest. Records were reviewed for fifteen triggers (n = 2182). When a trigger was present, the records were scrutinized by specialized medical doctors who searched for AEs. The positive predictive value (PPV) of the total trigger system and of the individual triggers was calculated. Additional analyses were performed to identify a possible optimization of the trigger system. In our sample, the trigger system had an overall PPV for AEs of 47%, 17% for

SUBMITTER: Klein DO 

PROVIDER: S-EPMC5700821 | biostudies-literature | 2017 Dec

REPOSITORIES: biostudies-literature