Extraction of Unstructured Electronic Health Records to Evaluate Glioblastoma Treatment Patterns.

PURPOSE: Data on lines of therapy (LOTs) for cancer treatment are important for clinical oncology research, but LOTs are not explicitly recorded in electronic health records (EHRs). We present an efficient approach for clinical data abstraction and a flexible algorithm to derive LOTs from EHR-based medication data on patients with glioblastoma multiforme (GBM). METHODS: Nonclinicians were trained to abstract the diagnosis of GBM from EHRs, and their accuracy was compared with abstraction performed by clinicians. The resulting data were used to build a cohort of patients with confirmed GBM diagnosis. An algorithm was developed to derive LOTs using structured medication data, accounting for the addition and discontinuation of therapies and drug class. Descriptive statistics were calculated and time-to-next-treatment (TTNT) analysis was performed using the Kaplan-Meier method. RESULTS: Treating clinicians as the gold standard, nonclinicians abstracted GBM diagnosis with a sensitivity of 0.98, specificity 1.00, positive predictive value 1.00, and negative predictive value 0.90, suggesting that nonclinician abstraction of GBM diagnosis was comparable with clinician abstraction. Of 693 patients with a confirmed diagnosis of GBM, 246 patients contained structured information about the types of medications received. Of them, 165 (67.1%) received a first-line therapy (1L) of temozolomide, and the median TTNT from the start of 1L was 179 days. CONCLUSION: We described a workflow for extracting diagnosis of GBM and LOT from EHR data that combines nonclinician abstraction with algorithmic processing, demonstrating comparable accuracy with clinician abstraction and highlighting the potential for scalable and efficient EHR-based oncology research.

Disparities in Postoperative Communication Patterns Among Spanish-speaking Pediatric Patients with Hydrocephalus.

OBJECTIVE: To determine if differences exist in postoperative communication patterns or healthcare use among English-speaking patients (ESPs) and Spanish-speaking patients (SSPs) with childhood hydrocephalus. STUDY DESIGN: A single-institution, retrospective cohort study was conducted. Through simple random sampling, 50 ESPs and 50 SSPs (<18 years old) who underwent a ventriculoperitoneal shunt or endoscopic third ventriculostomy were identified. Demographics, communication with clinic (eg, number of calls or messages postoperatively), and healthcare use were collected. Multiple linear regressions assessed the significance of predictors on communication frequency and use. RESULTS: SSPs were more likely to have a comorbidity and ventriculoperitoneal shunt than ESPs. SSPs had longer median postoperative length of stay (P < .01) and 30-day readmission rate (P < .01) than ESPs. Only 18% of SSPs communicated with clinic; 11 total calls or messages were from SSPs vs 57 from ESPs (P < .01). The most common reason for outreach among both cohorts was a new symptom. ESP outreach most frequently resulted in reassurance or medical course changes on an outpatient basis (30% ESPs vs 0% SSPs; P = .04), whereas SSP outreach most frequently resulted in guidance to present to the emergency department (3% ESPs vs 36% SSPs; P < .01). Language remained a significant predictor for number of calls or messages, even after adjusting for comorbidity, operation type, and insurance (P < .01). CONCLUSIONS: Despite having more complex disease, only 18% of SSPs communicated with the neurosurgical team postoperatively and were more frequently sent to the emergency department for management. Future research will explore communication barriers and preferences to ensure postoperative care is timely and patient centered.

Creating a new generation of pediatric dentists: a paradigm shift in training.

The University of California, Los Angeles (UCLA) School of Dentistry has implemented a Health Resources and Services Administration-funded program to prepare dentists for the complex and comprehensive needs of pediatric patients within rapidly changing demographics and a paradigm shift in dentistry. Traditional dental education has focused on how to respond to oral disease, whereas UCLA's program shifts the paradigm to emphasize early assessment, risk-based prevention, and disease management. A holistic approach to dental care that considers social and environmental determinants is used with minimally invasive techniques for restorative care. To support this change, pediatric dental residents receive traditional training combined with new didactics, advocacy opportunities, and applied learning experiences at community-based organizations. These new elements teach residents to recognize the causal factors of disease and to identify interventions that promote oral health at the individual, family, community, and policy level. Consequently, they are better prepared to treat a diverse group of patients who historically have faced the greatest burden of disease as well as an increased number of barriers to accessing oral health care; these consist of low-income, minority, and/or pediatric populations including children with special health needs. The program's ultimate goal is for residents to deploy these skills in treating vulnerable populations and to demonstrate greater interest in collaborating with non-dental health providers and community organizations to increase access to dental services in private or public health practice settings.