@article{GabrielJirůHillmannKraftetal.2020,
  author    = {Gabriel, Katharina M. A. and J{\´i}rů-Hillmann, Steffi and Kraft, Peter and Selig, Udo and R{\"u}cker, Victoria and M{\"u}hler, Johannes and D{\"o}tter, Klaus and Keidel, Matthias and Soda, Hassan and Rascher, Alexandra and Schneider, Rolf and Pfau, Mathias and Hoffmann, Roy and Stenzel, Joachim and Benghebrid, Mohamed and Goebel, Tobias and Doerck, Sebastian and Kramer, Daniela and Haeusler, Karl Georg and Volkmann, Jens and Heuschmann, Peter U. and Fluri, Felix},
  title     = {Two years' experience of implementing a comprehensive telemedical stroke network comprising in mainly rural region: the Transregional Network for Stroke Intervention with Telemedicine (TRANSIT-Stroke)},
  series = {BMC Neurology},
  volume    = {20},
  journal   = {BMC Neurology},
  doi       = {10.1186/s12883-020-01676-6},
  url       = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-229214},
  year      = {2020},
  abstract  = {Background Telemedicine improves the quality of acute stroke care in rural regions with limited access to specialized stroke care. We report the first 2 years' experience of implementing a comprehensive telemedical stroke network comprising all levels of stroke care in a defined region. Methods The TRANSIT-Stroke network covers a mainly rural region in north-western Bavaria (Germany). All hospitals providing acute stroke care in this region participate in TRANSIT-Stroke, including four hospitals with a supra-regional certified stroke unit (SU) care (level III), three of those providing teleconsultation to two hospitals with a regional certified SU (level II) and five hospitals without specialized SU care (level I). For a two-year-period (01/2015 to 12/2016), data of eight of these hospitals were available; 13 evidence-based quality indicators (QIs) related to processes during hospitalisation were evaluated quarterly and compared according to predefined target values between level-I- and level-II/III-hospitals. Results Overall, 7881 patients were included (mean age 74.6 years +/- 12.8; 48.4\% female). In level-II/III-hospitals adherence of all QIs to predefined targets was high ab initio. In level-I-hospitals, three patterns of QI-development were observed: a) high adherence ab initio (31\%), mainly in secondary stroke prevention; b) improvement over time (44\%), predominantly related to stroke specific diagnosis and in-hospital organization; c) no clear time trends (25\%). Overall, 10 out of 13 QIs reached predefined target values of quality of care at the end of the observation period. Conclusion The implementation of the comprehensive TRANSIT-Stroke network resulted in an improvement of quality of care in level-I-hospitals.},
  language  = {en}
}
@article{HillmannWiedmannFraseretal.2015,
  author    = {Hillmann, Steffi and Wiedmann, Silke and Fraser, Alec and Baeza, Juan and Rudd, Anthony and Norrving, Bo and Asplund, Kjell and Niewada, Maciej and Dennis, Martin and Hermanek, Peter and Wolfe, Charles D. A. and Heuschmann, Peter U.},
  title     = {Temporal changes in the quality of acute stroke care in five national audits across Europe},
  series = {BioMed Research International},
  volume    = {2015},
  journal   = {BioMed Research International},
  number    = {432497},
  doi       = {10.1155/2015/432497},
  url       = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-149059},
  year      = {2015},
  abstract  = {Background. Data on potential variations in delivery of appropriate stroke care over time are scarce. We investigated temporal changes in the quality of acute hospital stroke care across five national audits in Europe over a period of six years. Methods. Data were derived from national stroke audits in Germany, Poland, Scotland, Sweden, and England/Wales/Northern Ireland participating within the European Implementation Score (EIS) collaboration. Temporal changes in predefined quality indicators with comparable information between the audits were investigated. Multivariable logistic regression analyses were performed to estimate adherence to quality indicators over time. Results. Between 2004 and 2009, individual data from 542,112 patients treated in 538 centers participating continuously over the study period were included. In most audits, the proportions of patients who were treated on a SU, were screened for dysphagia, and received thrombolytic treatment increased over time and ranged from 2-fold to almost 4-fold increase in patients receiving thrombolytic therapy in 2009 compared to 2004. Conclusions. A general trend towards a better quality of stroke care defined by standardized quality indicators was observed over time. The association between introducing a specific measure and higher adherence over time might indicate that monitoring of stroke care performance contributes to improving quality of care.},
  language  = {en}
}
@article{SmithBrayHoffmanetal.2015,
  author    = {Smith, Craig J. and Bray, Benjamin D. and Hoffman, Alex and Meisel, Andreas and Heuschmann, Peter U. and Wolfe, Charles D. A. and Tyrrell, Pippa J. and Rudd, Anthony G.},
  title     = {Can a novel clinical risk score improve pneumonia prediction in acute stroke care? A UK multicenter cohort study},
  series = {Journal of the American Heart Association},
  volume    = {4},
  journal   = {Journal of the American Heart Association},
  number    = {1},
  doi       = {10.1161/JAHA.114.001307},
  url       = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-144602},
  pages     = {e001307},
  year      = {2015},
  abstract  = {Background Pneumonia frequently complicates stroke and has amajor impact on outcome. We derived and internally validated a simple clinical risk score for predicting stroke-associated pneumonia (SAP), and compared the performance with an existing score (A\(^{2}\)DS\(^{2}\)). Methods and Results We extracted data for patients with ischemic stroke or intracerebral hemorrhage from the Sentinel Stroke National Audit Programme multicenter UK registry. The data were randomly allocated into derivation (n=11 551) and validation (n=11 648) samples. A multivariable logistic regression model was fitted to the derivation data to predict SAP in the first 7 days of admission. The characteristics of the score were evaluated using receiver operating characteristics (discrimination) and by plotting predicted versus observed SAP frequency in deciles of risk (calibration). Prevalence of SAP was 6.7\% overall. The final 22-point score (ISAN: prestroke Independence [modified Rankin scale], Sex, Age, National Institutes of Health Stroke Scale) exhibited good discrimination in the ischemic stroke derivation (C-statistic 0.79; 95\% CI 0.77 to 0.81) and validation (C-statistic 0.78; 95\% CI 0.76 to 0.80) samples. It was well calibrated in ischemic stroke and was further classified into meaningful risk groups (low 0 to 5, medium6 to 10, high 11 to 14, and very high >= 15) associated with SAP frequencies of 1.6\%, 4.9\%, 12.6\%, and 26.4\%, respectively, in the validation sample. Discrimination for both scores was similar, although they performed less well in the intracerebral hemorrhage patients with an apparent ceiling effect. Conclusions The ISAN score is a simple tool for predicting SAP in clinical practice. External validation is required in ischemic and hemorrhagic stroke cohorts.},
  language  = {en}
}