RESUMEN
BACKGROUND: While patients with dementia entering the hospital have worse outcomes than those without dementia, early detection of dementia in the inpatient setting is less than 50%. We developed and assessed the positive predictive value (PPV) and feasibility of a novel electronic health record (EHR) banner to identify patients with dementia who present to the inpatient setting using data from the medical record. METHODS: We developed and implemented an EHR algorithm to flag hospitalized patients age ≥65 years with potential cognitive impairment in the Epic EHR system using dementia ICD-10 codes, FDA-approved medications, and the use of the term "dementia" in the emergency department physician note. Medical records were reviewed for all patients who were flagged with an EHR banner from October 2022 to May 2023. RESULTS: A total of 344 individuals were identified who had a banner on their chart of which 280 (81.4%) were either diagnosed with dementia or were on an FDA-approved dementia medication. Forty-three individuals who had confirmed dementia were identified by a medication only (15.4%). Of the patients without confirmed dementia, the majority (N = 33, 9.6%) had a diagnosis of altered mental status, cognitive dysfunction, or mild cognitive impairment. Only 31 individuals (9.0%) had no indication of dementia or cognitive decline in their problem list, past medical history, or medication list. CONCLUSIONS: We found that it was feasible to implement an EHR algorithm for prospective dementia identification with a high PPV. These types of algorithms provide an opportunity to accurately identify hospitalized older individuals for inclusion in quality improvement projects, clinical trials, pay-for-performance programs, and other initiatives.
Asunto(s)
Demencia , Registros Electrónicos de Salud , Humanos , Anciano , Estudios Prospectivos , Reembolso de Incentivo , Valor Predictivo de las Pruebas , Algoritmos , Demencia/diagnósticoRESUMEN
PROBLEM: Acute care nurses are the front line of hospital care for persons with dementia (PwD), yet many have inadequate dementia education and lack the confidence to appropriately manage PwD in the hospital setting. IMPLEMENTATION: Two acute care units with high rates of PwD in a large tertiary-care hospital were provided an education intervention involving interactive case-based discussion of the challenges of inpatient dementia care. RESULTS: Out of 190 nurses, 171 completed a one-hour virtual educational session, 142 completed pre/post-session confidence surveys, and 123 completed pre/post-session knowledge tests. There was a statistically significant improvement in knowledge scores from 75.8% pre-session to 88.4% post-session (p < 0.001), and pre/post-session dementia care confidence increased from 3.49 to 4.44 ( + 27.22%; p < 0.001) CONCLUSION: An interactive virtual education intervention improves acute care nurses' confidence and knowledge in managing PwD in the acute care setting and may improve hospital outcomes for this population.