Silent Brain Infarction: A Missed Opportunity for Prevention (Preprint)
BACKGROUND : Silent brain infarction (SBI) is prevalent in 10%-30% of the elderly, predicting future stroke and cryptogenic dementia. SBI may also be "administrative" due to communication errors between radiologists and caregivers. OBJECTIVE To study the documentation gap between a brain infarction in a computerized brain tomography (brain-CT) report and diagnosis in the Electronic medical record (EHR). METHODS This is a multicenter retrospective observational study, using Clalit's HMO integrated data. We studied 1,339 brain-CT unstructured data from brain-CT reports and EHRs of patients aged 50-80. Patients were categorized by the presence or absence of brain infarction in the brain CT report and then compared to the presence of stroke diagnoses in the corresponding patient EHR. We divided the patient cohort into four groups: with/without Brain infarction in the brain-CT report and with/without stroke diagnoses in the EHR. RESULTS Among the brain-CT reports with Brain infarction, there was a missing EHR documentation in 38.1% of cases. Missing documentation was more likely associated with the identification of lacunar infarctions (P<0.01), with inadequate documentation of other cardiovascular comorbidities and risk factors as well as lower rates of secondary prevention medication (P<0.01). Factors showing significant association with missing documentation in the EHR were a non-stroke neurological indication (P<0.001), a Brain infarction that was mentioned only in the brain-CT report text (and not in summary) (P<0.001), and lacunar infarction (P<0.009). CONCLUSIONS Brain infarction can be silent both clinically and administratively. The main informational barrier is most likely due to interdisciplinary miscommunication. Unstructured computerized report processing can help in closing this gap and potentially improve care. CLINICALTRIAL non