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Accurate and complete racial/ethnic data in the electronic health record are a requisite step to addressing disparities in neurologic care, and at local, regional, and national levels. The current data pertaining to the patients' race and ethnicity contained in the electronic health record are inadequate. This article outlines recommendations at the individual practice and electronic health record vendor level to improve documentation of race and ethnicity.
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BACKGROUND AND OBJECTIVES: The objective of this study was to determine the external validity of the Axon Registry by comparing the 2019 calendar year data with 2 nationally representative, publicly available data sources, specifically the National Ambulatory Medical Care Survey (NAMCS) and the Medical Expenditure Panel Survey (MEPS). The Axon Registry is the American Academy of Neurology's neurology-focused qualified clinical data registry that reports and analyzes electronic health record data from participating US neurology providers. Its key function is to support quality improvement within ambulatory neurology practices while also promoting high-quality evidence-based care in clinical neurology. We compared demographics of patients who had an outpatient or office visit with a neurologist along with prevalence of selected neurologic conditions and neurologic procedures across the 3 data sets. METHODS: We performed a cross-sectional, retrospective comparison of 3 data sets: NAMCS (2012-2016), MEPS (2013-2017, 2019), and Axon Registry (2019). We obtained patient demographics (age, birth sex, race, ethnicity), patient neurologic conditions (headache, epilepsy, cerebrovascular disease, multiple sclerosis, parkinsonism, dementia, spinal pain, and polyneuropathy), provider location, and neurologic procedures (neurology visits, MR/CT neuroimaging studies and EEG/EMG neurophysiologic studies). Parameter estimates from the pooled 5-year samples of the 2 public data sets, calculated at the visit level, were compared descriptively with those of the Axon Registry. We calculated Cohen h and performed Wald tests (α = 0.05) to conduct person-level statistical comparisons between MEPS 2019 and Axon Registry 2019 data. RESULTS: The Axon Registry recorded 1.3 M annual neurology visits (NAMCS, 11 M; MEPS, 22 M) and 645 K people with neurologic conditions (MEPS, 10 M). Compared with the pooled national surveys, the Axon Registry has similar patient demographics, neurologic condition prevalence, neuroimaging and neurophysiologic utilization, and provider location. In direct comparison with MEPS 2019, the Axon Registry 2019 had fewer children (2% vs 7%), more elderly persons (21% vs 16%), fewer non-Black and non-White race persons (5% vs 8%), less number of patients with epilepsy (10% vs 13%), more patients with dementia (8% vs 6%), more patients with cerebrovascular disease (11% vs 8%), and a greater predominance of neurology providers in the Midwest (25% vs 20%). The only difference with a non-negligible effect size was the proportion of people younger than 15 years (Cohen h = 0.25). DISCUSSION: The Axon Registry demonstrates high concordance with 2 nationally representative surveys. Recruiting more and diverse neurology providers will further improve the volume, representativeness, and value of the Axon Registry.
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Demencia , Enfermedades del Sistema Nervioso , Neurología , Niño , Humanos , Estados Unidos/epidemiología , Anciano , Estudios Transversales , Estudios Retrospectivos , Enfermedades del Sistema Nervioso/epidemiología , Enfermedades del Sistema Nervioso/terapia , Encuestas de Atención de la Salud , Sistema de Registros , Atención AmbulatoriaRESUMEN
Background and Objectives: The primary objective is to examine potential racial and ethnic (R/E) disparities in ambulatory neurology quality measures within the American Academy of Neurology Axon Registry. R/E disparities in neurologic US morbidity and mortality have been clearly documented. Despite these findings, there have been no nationwide examinations of how ambulatory neurologic care affects these negative health outcomes. Methods: This was a retrospective nonrandomized cohort study of patients in the AAN Axon Registry. The Axon Registry is a neurology-specific outpatient quality registry that collects, reports, and analyzes real-world deidentified electronic health record (EHR) data. Patients were included in the study if they contributed toward one of the selected quality measures for multiple sclerosis, epilepsy, Parkinson disease, or headache during the study period of January 1, 2019-December 31, 2019. Descriptive analyses of patient demographics were performed and then stratified by race and ethnicity. Results: There were a total of 633,672 patients included in these analyses. Separate analyses were performed for race (64% White, 8% Black, 1% Asian, and 27% unknown) and ethnicity (52% not Hispanic, 5% Hispanic, and 43% unknown). The mean age ranged from 18 to 55 years, with 61% female and 39% male. Quality measures were chosen based on completeness of R/E data and were either process or outcomes focused. Statistically significant differences were noted after controlling for multiple comparisons. Discussion: The large proportion of missing or unknown R/E data and low overall rate of performance on these quality measures made the relevance of small differences difficult to determine. This analysis demonstrates the feasibility of using the Axon Registry to assess neurologic disparities in outpatient care. More education and training are required on the accurate capture of R/E data in the EHR.
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OBJECTIVE: To provide the initial description of the quality of outpatient US neurologic care as collected and reported in the Axon Registry. METHODS: We describe characteristics of registry participants and the performance of neurology providers on 20 of the 2019 Axon Registry quality measures. From the distribution of providers' scores on a quality measure, we calculate the median performance for each quality measure. We test for associations between quality measure performance, provider characteristics, and intrinsic measure parameters. RESULTS: There were 948 neurology providers who contributed a total of 6,480 provider-metric observations. Overall, the average quality measure performance score at the provider level was 66 (median 77). At the measure level (n = 20), the average quality measure performance score was 53 (median 55) with a range of 2 to 100 (interquartile range 20-91). Measures with a lower-complexity category (e.g., discrete orders, singular concepts) or developed through the specialty's qualified clinical data registry pathway had higher performance distributions. There was no difference in performance between Merit-Based Incentive Payment System (MIPS) and non-MIPS providers. There was no association between quality measure performance and practice size, measure clinical topic/neurologic condition, or measure year of entry. CONCLUSIONS: This cross-sectional assessment of quality measure performance in 2019 Axon Registry data demonstrates modest performance scores and considerable variability across measures and providers. More complex measures were associated with lower performance. These findings serve as a baseline assessment of quality of ambulatory neurologic care in the United States and provide insights into future measure design.
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Atención Ambulatoria/estadística & datos numéricos , Enfermedades del Sistema Nervioso/terapia , Neurólogos/estadística & datos numéricos , Neurología/estadística & datos numéricos , Práctica Profesional/estadística & datos numéricos , Indicadores de Calidad de la Atención de Salud/estadística & datos numéricos , Sistema de Registros/estadística & datos numéricos , Adolescente , Adulto , Anciano , Atención Ambulatoria/normas , Estudios Transversales , Femenino , Investigación sobre Servicios de Salud , Humanos , Masculino , Persona de Mediana Edad , Neurólogos/normas , Neurología/normas , Práctica Profesional/normas , Indicadores de Calidad de la Atención de Salud/normas , Adulto JovenRESUMEN
We describe a process of organizational strategic future forecasting, with a horizon of 2035, as implemented by the American Academy of Neurology (AAN) on behalf of its members, and as a model approach for other organizations. The participants were members of the 2018-2020 AAN Boards of Directors and Executive Team, moderated by a consultant with expertise in future forecasting. Four predetermined model scenarios of import to our field (1 "expectable," 1 "challenging," and 2 "visionary") were discussed in small groups, with alternative scenarios developed in specific domains. Common themes emerged among all scenarios: the importance of thoughtful integration of biomedical and information technology tools into neurologic practice; continued demonstration of the value of neurologic care to society; and emphasis on population management and prevention of neurologic disease. Allowing for the inherent uncertainties of predicting the future, the AAN's integration of structured forecasting into its strategic planning process has allowed the organization to prepare more effectively for change, such as the disruptions stemming from the coronavirus disease 2019 (COVID-19) pandemic. The approaches outlined here will be integrated into future AAN operations and may be implemented to a similar effect by other organizations.
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COVID-19 , Neurología , Academias e Institutos , Predicción , Humanos , Sociedades Médicas , Estados UnidosRESUMEN
General anesthesia may be required for particular diagnostic and therapeutic procedures in patients with seizure disorders. There is concern regarding the safety of anesthetic drugs in these individuals because of the reported proconvulsant effect of selected medications. Potentially, general anesthesia may be associated with perioperative seizures or increased adverse effects in people with epilepsy. The rationale for the present study was to evaluate the outcome of general anesthesia in a population-based cohort with seizure disorders undergoing interventions that were unlikely to alter the seizure tendency, for example, magnetic resonance imaging study. Seizures were observed in only 6 of 297 (2%) anesthetic procedures, and intravenous therapy was required in only one patient. None of the patients had any reported adverse effect from general anesthesia. The current findings may be useful in counseling and guiding patients with seizure disorders, their caregivers, and their guardians regarding the risk of general anesthesia.