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  • 1
    In: Annals of Neurology, Wiley, Vol. 88, No. 2 ( 2020-08), p. 215-217
    Materialart: Online-Ressource
    ISSN: 0364-5134 , 1531-8249
    URL: Issue
    Sprache: Englisch
    Verlag: Wiley
    Publikationsdatum: 2020
    ZDB Id: 2037912-2
    Standort Signatur Einschränkungen Verfügbarkeit
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  • 2
    Online-Ressource
    Online-Ressource
    Wiley ; 2006
    In:  The Journal of Physiology Vol. 571, No. 3 ( 2006-03), p. 555-562
    In: The Journal of Physiology, Wiley, Vol. 571, No. 3 ( 2006-03), p. 555-562
    Kurzfassung: Cholinergic activation of hippocampal targets can initiate and sustain network oscillations in vivo and in vitro , yet the impact of cholinergic modulation on the oscillatory properties of interneurones remains virtually unexplored. Using whole cell current clamp recordings in acute hippocampal slices, we investigated the influence of muscarinic receptor (mAChR) activation on the oscillatory properties of CA1 stratum oriens (SO) interneurones in vitro . In response to suprathreshold oscillatory input, mAChR activation increased spike reliability and precision, and extended the bandwidth that interneurone firing phase‐locked. These suprathreshold effects were largest at theta frequencies, indicating that mAChR activation tunes active conductances to enhance firing reliability and precision to theta frequency input. Muscarinic tuning of the intrinsic oscillatory properties of interneurones is a novel mechanism that may be crucial for the genesis of the theta rhythm.
    Materialart: Online-Ressource
    ISSN: 0022-3751 , 1469-7793
    RVK:
    Sprache: Englisch
    Verlag: Wiley
    Publikationsdatum: 2006
    ZDB Id: 1475290-6
    SSG: 12
    Standort Signatur Einschränkungen Verfügbarkeit
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  • 3
    In: Epilepsia Open, Wiley, Vol. 3, No. 1 ( 2018-03), p. 91-97
    Kurzfassung: Identifying individuals with rare epilepsy syndromes in electronic data sources is difficult, in part because of missing codes in the International Classification of Diseases (ICD) system. Our objectives were the following: (1) to describe the representation of rare epilepsies in other medical vocabularies, to identify gaps; and (2) to compile synonyms and associated terms for rare epilepsies, to facilitate text and natural language processing tools for cohort identification and population‐based surveillance. We describe the representation of 33 epilepsies in 3 vocabularies: Orphanet, SNOMED ‐ CT , and UMLS ‐Metathesaurus. We compiled terms via 2 surveys, correspondence with parent advocates, and review of web resources and standard vocabularies. UMLS ‐Metathesaurus had entries for all 33 epilepsies, Orphanet 32, and SNOMED ‐ CT 25. The vocabularies had redundancies and missing phenotypes. Emerging epilepsies ( SCN 2A‐, SCN 8A‐, KCNQ 2‐, SLC 13A5‐ , and SYNGAP ‐related epilepsies) were underrepresented. Survey and correspondence respondents included 160 providers, 375 caregivers, and 11 advocacy group leaders. Each epilepsy syndrome had a median of 15 (range 6–28) synonyms. Nineteen had associated terms, with a median of 4 (range 1–41). We conclude that medical vocabularies should fill gaps in representation of rare epilepsies to improve their value for epilepsy research. We encourage epilepsy researchers to use this resource to develop tools to identify individuals with rare epilepsies in electronic data sources.
    Materialart: Online-Ressource
    ISSN: 2470-9239 , 2470-9239
    URL: Issue
    Sprache: Englisch
    Verlag: Wiley
    Publikationsdatum: 2018
    ZDB Id: 2863427-5
    Standort Signatur Einschränkungen Verfügbarkeit
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  • 4
    In: Journal of the American Geriatrics Society, Wiley, Vol. 65, No. 3 ( 2017-03), p. 608-613
    Kurzfassung: The Meaningful Use initiative has made nearly $30 billion available through incentive programs to encourage provider adoption and use of electronic health records. The objective of this study was to evaluate the impact of outpatient physicians' participation in Meaningful Use on the quality of care provided to Medicare fee‐for‐service (FFS) enrollees . Design Retrospective cohort study. Setting One hundred percent inpatient and outpatient Medicare FFS claims covering the period January 2010 through December 2012. Participants 303,110 Medicare FFS enrollees from New York State. Measurements Hospitalizations and emergency department (ED) visits for ambulatory care sensitive conditions (ACSCs), diabetic retinopathy screening, diabetic nephropathy screening, colorectal cancer screening, and influenza vaccinations. Results Physician participation in the Meaningful Use initiative was not associated with reductions in ACSC‐related hospitalizations (0.0 percentage points, 95% confidence interval (CI): 0.0–0.1) or ED visits (0.0 percentage points, 95% CI: 0.0–0.1) relative to the comparison group. Meaningful Use participation was associated with higher odds of colorectal cancer screening (odds ratio (OR): 1.2, 95% CI: 1.1–1.4) relative to the comparison group, but not for diabetic retinopathy screening (OR: 1.1, 95% CI: 1.0–1.2), diabetic nephropathy screening (OR: 1.0, 95% CI: 0.8–1.2), or influenza vaccinations (OR: 1.1, 95% CI: 1.0–1.2). Similar results were found in secondary analyses of dually‐eligible beneficiaries participating in both Medicare and Medicaid. Conclusion Physician participation in Meaningful Use was not associated with substantial improvements on six quality measures.
    Materialart: Online-Ressource
    ISSN: 0002-8614 , 1532-5415
    URL: Issue
    Sprache: Englisch
    Verlag: Wiley
    Publikationsdatum: 2017
    ZDB Id: 2040494-3
    Standort Signatur Einschränkungen Verfügbarkeit
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  • 5
    In: Epilepsia, Wiley, Vol. 55, No. 5 ( 2014-05), p. 734-745
    Kurzfassung: Hospital crossover occurs when people seek care at multiple hospitals, creating information gaps for physicians at the time of care. Health information exchange ( HIE ) is technology that fills these gaps, by allowing otherwise unaffiliated physicians to share electronic medical information. However, the potential value of HIE is understudied, particularly for chronic neurologic conditions like epilepsy. We describe the prevalence and associated factors of hospital crossover among people with epilepsy, in order to understand the epidemiology of who may benefit from HIE . Methods We used a cross‐sectional study design to examine the bivariate and multivariable association of demographics, comorbidity, and health service utilization variables with hospital crossover, among people with epilepsy. We identified 8,074 people with epilepsy from the International Classification of Diseases, Ninth Revision ( ICD ‐9) codes, obtained from an HIE that linked seven hospitals in M anhattan, N ew Y ork. We defined hospital crossover as care from more than one hospital in any setting (inpatient, outpatient, emergency, or radiology) over 2 years. Results Of 8,074 people with epilepsy, 1,770 (22%) engaged in hospital crossover over 2 years. Crossover was associated with younger age (children compared with adults, adjusted odds ratio [ OR] 1.4, 95% confidence interval [ CI] 1.2–1.7), living near the hospitals ( M anhattan vs. other boroughs of N ew Y ork City, adjusted OR 1.6, 95% CI 1.4–1.8), more visits in the emergency, radiology, inpatient, and outpatient settings (p  〈  0.001 for each), and more head computerized tomography ( CT) scan s (p  〈  0.01). The diagnosis of “encephalopathy” was consistently associated with crossover in bivariate and multivariable analyses (adjusted OR 2.66, 95% CI 2.14–3.29), whereas the relationship between other comorbidities and crossover was less clear. Significance Hospital crossover is common among people with epilepsy, particularly among children, frequent users of medical services, and people living near the study hospitals. HIE should focus on these populations. Further research should investigate why hospital crossover occurs, how it affects care, and how HIE can most effectively mitigate the resultant fragmentation of medical records. A PowerPoint slide summarizing this article is available for download in the Supporting Information section here .
    Materialart: Online-Ressource
    ISSN: 0013-9580 , 1528-1167
    URL: Issue
    RVK:
    Sprache: Englisch
    Verlag: Wiley
    Publikationsdatum: 2014
    ZDB Id: 2002194-X
    Standort Signatur Einschränkungen Verfügbarkeit
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  • 6
    In: Epilepsia, Wiley, Vol. 59, No. 1 ( 2018-01), p. 155-169
    Kurzfassung: Among children with epilepsy, to develop and evaluate a model to predict emergency department ( ED ) use, an indicator of poor disease control and/or poor access to care. Methods We used electronic health record data from 2013 to predict ED use in 2014 at 2 centers, benchmarking predictive performance against machine learning algorithms. We evaluated algorithms by calculating the expected yearly ED visits among the 5% highest risk individuals. We estimated the breakeven cost per patient per year for an intervention that reduced ED visits by 10%. We estimated uncertainty via cross‐validation and bootstrapping. Results Bivariate analyses showed multiple potential predictors of ED use (demographics, social determinants of health, comorbidities, insurance, disease severity, and prior health care utilization). A 3‐variable model (prior ED use, insurance, number of antiepileptic drugs [ AED s]) performed as well as the best machine learning algorithm at one center (N = 2730; ED visits among top 5% highest risk, 3‐variable model, mean = 2.9, interquartile range [IQR] = 2.7‐3.1 vs Random Forest, mean = 2.9, IQR = 2.7‐3.1), and superior at the second (N = 784; mean = 2.5, IQR = 2.2‐2.9 vs mean = 1.9, IQR = 1.6‐2.5). The per‐patient‐per‐year breakeven point using this model to identify high‐risk individuals was $958 (95% confidence interval [CI] = $568‐$1390) at one center and $1086 (95% CI = $886‐$1320) at the second. Significance Prior ED use, insurance status, and number of AED s, taken together, predict future ED use for children with epilepsy. Our estimates suggest a program targeting high‐risk children with epilepsy that reduced ED visits by 10% could spend approximately $1000 per patient per year and break even. Further work is indicated to develop and evaluate such programs.
    Materialart: Online-Ressource
    ISSN: 0013-9580 , 1528-1167
    URL: Issue
    RVK:
    Sprache: Englisch
    Verlag: Wiley
    Publikationsdatum: 2018
    ZDB Id: 2002194-X
    Standort Signatur Einschränkungen Verfügbarkeit
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  • 7
    In: The Journal of Physiology, Wiley, Vol. 570, No. 3 ( 2006-02), p. 595-610
    Materialart: Online-Ressource
    ISSN: 0022-3751
    RVK:
    Sprache: Englisch
    Verlag: Wiley
    Publikationsdatum: 2006
    ZDB Id: 1475290-6
    SSG: 12
    Standort Signatur Einschränkungen Verfügbarkeit
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  • 8
    Online-Ressource
    Online-Ressource
    Wiley ; 2017
    In:  Pediatric Pulmonology Vol. 52, No. 7 ( 2017-07), p. 880-890
    In: Pediatric Pulmonology, Wiley, Vol. 52, No. 7 ( 2017-07), p. 880-890
    Kurzfassung: For children with asthma, emergency department (ED) visits are common, expensive, and often avoidable. Though several factors are associated with ED use (demographics, comorbidities, insurance, medications), its predictability using electronic health record (EHR) data is understudied. Methods We used a retrospective cohort study design and EHR data from one center to examine the relationship of patient factors in 1 year (2013) and the likelihood of frequent ED use (≥2 visits) in the following year (2014), using bivariate and multivariable statistics. We applied and compared several machine‐learning algorithms to predict frequent ED use, then selected a model based on accuracy, parsimony, and interpretability. Results We identified 2691 children. In bivariate analyses, future frequent ED use was associated with demographics, co‐morbidities, insurance status, medication history, and use of healthcare resources. Machine learning algorithms had very good AUC (area under the curve) values [0.66‐0.87], though fair PPV (positive predictive value) [48‐70%] and poor sensitivity [16‐27%]. Our final multivariable logistic regression model contained two variables: insurance status and prior ED use. For publicly insured patients, the odds of frequent ED use were 3.1 [2.2‐4.5] times that of privately insured patients. Publicly insured patients with 4+ ED visits and privately insured patients with 6+ ED visits in a year had ≥50% probability of frequent ED use the following year. The model had an AUC of 0.86, PPV of 56%, and sensitivity of 23%. Conclusion Among children with asthma, prior frequent ED use and insurance status strongly predict future ED use.
    Materialart: Online-Ressource
    ISSN: 8755-6863 , 1099-0496
    URL: Issue
    Sprache: Englisch
    Verlag: Wiley
    Publikationsdatum: 2017
    ZDB Id: 1491904-7
    Standort Signatur Einschränkungen Verfügbarkeit
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  • 9
    In: Epilepsia, Wiley, Vol. 62, No. 1 ( 2021-01), p. 198-216
    Kurzfassung: Common data elements (CDEs) are standardized questions and answer choices that allow aggregation, analysis, and comparison of observations from multiple sources. Clinical CDEs are foundational for learning health care systems, a data‐driven approach to health care focused on continuous improvement of outcomes. We aimed to create clinical CDEs for pediatric epilepsy. Methods A multiple stakeholder group (clinicians, researchers, parents, caregivers, advocates, and electronic health record [EHR] vendors) developed clinical CDEs for routine care of children with epilepsy. Initial drafts drew from clinical epilepsy note templates, CDEs created for clinical research, items in existing registries, consensus documents and guidelines, quality metrics, and outcomes needed for demonstration projects. The CDEs were refined through discussion and field testing. We describe the development process, rationale for CDE selection, findings from piloting, and the CDEs themselves. We also describe early implementation, including experience with EHR systems and compatibility with the International League Against Epilepsy classification of seizure types. Results Common data elements were drafted in August 2017 and finalized in January 2020. Prioritized outcomes included seizure control, seizure freedom, American Academy of Neurology quality measures, presence of common comorbidities, and quality of life. The CDEs were piloted at 224 visits at 10 centers. The final CDEs included 36 questions in nine sections (number of questions): diagnosis (1), seizure frequency (9), quality of life (2), epilepsy history (6), etiology (8), comorbidities (2), treatment (2), process measures (5), and longitudinal history notes (1). Seizures are categorized as generalized tonic‐clonic (regardless of onset), motor, nonmotor, and epileptic spasms. Focality is collected as epilepsy type rather than seizure type. Seizure frequency is measured in nine levels (all used during piloting). The CDEs were implemented in three vendor systems. Early clinical adoption included 1294 encounters at one center. Significance We created, piloted, refined, finalized, and implemented a novel set of clinical CDEs for pediatric epilepsy.
    Materialart: Online-Ressource
    ISSN: 0013-9580 , 1528-1167
    URL: Issue
    RVK:
    Sprache: Englisch
    Verlag: Wiley
    Publikationsdatum: 2021
    ZDB Id: 2002194-X
    Standort Signatur Einschränkungen Verfügbarkeit
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  • 10
    In: Epilepsia, Wiley, Vol. 56, No. 1 ( 2015-01), p. 147-157
    Kurzfassung: “Hospital crossover” occurs when people visit multiple hospitals for care, which may cause gaps in electronic health records. Although crossover is common among people with epilepsy, the effect on subsequent use of health services is unknown. Understanding this effect will help prioritize health care delivery innovations targeted for this population. Methods We collected de‐identified information from a health information exchange network describing 7,836 people with epilepsy who visited any of seven hospitals in New York, NY from 2009–2012. Data included demographics, comorbidities, and 2 years of visit information from ambulatory, inpatient, emergency department ( ED ), and radiology settings. We performed two complementary retrospective cohort analyses, in order to (1) illustrate the effect on a carefully selected subgroup, and (2) confirm the effect across the study population. First, we performed a matched cohort analysis on 410 pairs of individuals with and without hospital crossover in the baseline year. Second, we performed a propensity score odds weighted ordinal logistic regression analysis to estimate the effect across all 7,836 individuals. The outcomes were the use of six health services in the follow‐up year. Results In the matched pair analysis, baseline hospital crossover increased the odds of more visits in the ED (odds ratio 1.42, 95% confidence interval [ CI ] 1.05–1.95) and radiology settings (1.7, 1.22–2.38). The regression analysis confirmed the ED and radiology findings, and also suggested that crossover led to more inpatient admissions (1.35, 1.11–1.63), head CT s (1.44, 1.04–2), and brain MRI s (2.32, 1.59–3.37). Significance Baseline hospital crossover is an independent marker for subsequent increased health service use in multiple settings among people with epilepsy. Health care delivery innovations targeted for people with epilepsy who engage in hospital crossover should prioritize (1) sharing radiology images and reports (to reduce unnecessary radiology use, particularly head CT s), and (2) improving coordination of care (to reduce unnecessary ED and inpatient use).
    Materialart: Online-Ressource
    ISSN: 0013-9580 , 1528-1167
    URL: Issue
    RVK:
    Sprache: Englisch
    Verlag: Wiley
    Publikationsdatum: 2015
    ZDB Id: 2002194-X
    Standort Signatur Einschränkungen Verfügbarkeit
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