Krefting, Dagmar

[["dc.bibliographiccitation.firstpage","7395"],["dc.bibliographiccitation.issue","14"],["dc.bibliographiccitation.journal","International Journal of Environmental Research and Public Health"],["dc.bibliographiccitation.volume","18"],["dc.contributor.affiliation","Beierle, Felix; \t\t \r\n\t\t Institute of Clinical Epidemiology and Biometry, University of Würzburg, 97080 Würzburg, Germany, felix.beierle@uni-wuerzburg.de"],["dc.contributor.affiliation","Schobel, Johannes; \t\t \r\n\t\t DigiHealth Institute, Neu-Ulm University of Applied Sciences, 89231 Neu-Ulm, Germany, johannes.schobel@hnu.de"],["dc.contributor.affiliation","Vogel, Carsten; \t\t \r\n\t\t Institute of Clinical Epidemiology and Biometry, University of Würzburg, 97080 Würzburg, Germany, carsten.vogel@uni-wuerzburg.de"],["dc.contributor.affiliation","Allgaier, Johannes; \t\t \r\n\t\t Institute of Clinical Epidemiology and Biometry, University of Würzburg, 97080 Würzburg, Germany, johannes.allgaier@uni-wuerzburg.de"],["dc.contributor.affiliation","Mulansky, Lena; \t\t \r\n\t\t Institute of Clinical Epidemiology and Biometry, University of Würzburg, 97080 Würzburg, Germany, lena.mulansky@uni-wuerzburg.de"],["dc.contributor.affiliation","Haug, Fabian; \t\t \r\n\t\t Institute of Databases and Information Systems, Ulm University, 89081 Ulm, Germany, fabian.haug@uni-ulm.de"],["dc.contributor.affiliation","Haug, Julian; \t\t \r\n\t\t Institute of Clinical Epidemiology and Biometry, University of Würzburg, 97080 Würzburg, Germany, haug_j@ukw.de"],["dc.contributor.affiliation","Schlee, Winfried; \t\t \r\n\t\t Department of Psychiatry and Psychotherapy, University Regensburg, 93053 Regensburg, Germany, winfried.schlee@gmail.com"],["dc.contributor.affiliation","Holfelder, Marc; \t\t \r\n\t\t LA2 GmbH, 91054 Erlangen, Germany, marc.holfelder@la2.de"],["dc.contributor.affiliation","Stach, Michael; \t\t \r\n\t\t Institute of Databases and Information Systems, Ulm University, 89081 Ulm, Germany, michael.stach@uni-ulm.de"],["dc.contributor.affiliation","Schickler, Marc; \t\t \r\n\t\t Institute of Databases and Information Systems, Ulm University, 89081 Ulm, Germany, marc.schickler@uni-ulm.de"],["dc.contributor.affiliation","Baumeister, Harald; \t\t \r\n\t\t Department of Clinical Psychology and Psychotherapy, Ulm University, 89081 Ulm, Germany, harald.baumeister@uni-ulm.de"],["dc.contributor.affiliation","Cohrdes, Caroline; \t\t \r\n\t\t Mental Health Research Unit, Department of Epidemiology and Health Monitoring, Robert Koch Institute, 12101 Berlin, Germany, CohrdesC@rki.de"],["dc.contributor.affiliation","Deckert, Jürgen; \t\t \r\n\t\t Department of Psychiatry, Psychosomatics and Psychotherapy, Center of Mental Health, University Hospital Würzburg, 97080 Würzburg, Germany, deckert_j@ukw.de"],["dc.contributor.affiliation","Deserno, Lorenz; \t\t \r\n\t\t Department of Child and Adolescent Psychiatry, University Hospital Würzburg, 97080 Würzburg, Germany, deserno_l@ukw.de"],["dc.contributor.affiliation","Edler, Johanna-Sophie; \t\t \r\n\t\t Mental Health Research Unit, Department of Epidemiology and Health Monitoring, Robert Koch Institute, 12101 Berlin, Germany, EdlerJ@rki.de"],["dc.contributor.affiliation","Eichner, Felizitas A.; \t\t \r\n\t\t Institute of Clinical Epidemiology and Biometry, University of Würzburg, 97080 Würzburg, Germany, Eichner_F1@ukw.de"],["dc.contributor.affiliation","Greger, Helmut; \t\t \r\n\t\t Service Center Medical Informatics, University Hospital Würzburg, 97080 Würzburg, Germany, greger_h@ukw.de"],["dc.contributor.affiliation","Hein, Grit; \t\t \r\n\t\t Department of Psychiatry, Psychosomatics and Psychotherapy, Center of Mental Health, University Hospital Würzburg, 97080 Würzburg, Germany, Hein_G@ukw.de"],["dc.contributor.affiliation","Heuschmann, Peter; \t\t \r\n\t\t Institute of Clinical Epidemiology and Biometry, University of Würzburg, 97080 Würzburg, Germany, peter.heuschmann@uni-wuerzburg.de"],["dc.contributor.affiliation","John, Dennis; \t\t \r\n\t\t Lutheran University of Applied Sciences Nürnberg, 90429 Nürnberg, Germany, dennis.john@evhn.de"],["dc.contributor.affiliation","Kestler, Hans A.; \t\t \r\n\t\t Institute of Medical Systems Biology, Ulm University, 89081 Ulm, Germany, hans.kestler@uni-ulm.de"],["dc.contributor.affiliation","Krefting, Dagmar; \t\t \r\n\t\t Department of Medical Informatics, University Medical Center Göttingen, 37075 Göttingen, Germany, dagmar.krefting@med.uni-goettingen.de"],["dc.contributor.affiliation","Langguth, Berthold; \t\t \r\n\t\t Department of Psychiatry and Psychotherapy, University Regensburg, 93053 Regensburg, Germany, berthold.langguth@medbo.de"],["dc.contributor.affiliation","Meybohm, Patrick; \t\t \r\n\t\t Department of Anaesthesiology, Intensive Care, Emergency and Pain Medicine, University Hospital Würzburg, 97080 Würzburg, Germany, meybohm_p@ukw.de"],["dc.contributor.affiliation","Probst, Thomas; \t\t \r\n\t\t Department for Psychotherapy and Biopsychosocial Health, Danube University Krems, 3500 Krems, Austria, thomas.probst@donau-uni.ac.at"],["dc.contributor.affiliation","Reichert, Manfred; \t\t \r\n\t\t Institute of Databases and Information Systems, Ulm University, 89081 Ulm, Germany, manfred.reichert@uni-ulm.de"],["dc.contributor.affiliation","Romanos, Marcel; \t\t \r\n\t\t Department of Child and Adolescent Psychiatry, University Hospital Würzburg, 97080 Würzburg, Germany, romanos_m@ukw.de"],["dc.contributor.affiliation","Störk, Stefan; \t\t \r\n\t\t Comprehensive Heart Failure Center, University and University Hospital Würzburg, 97080 Würzburg, Germany, stoerk_s@ukw.de\t\t \r\n\t\t Department of Internal Medicine I, University Hospital Würzburg, 97080 Würzburg, Germany, stoerk_s@ukw.de"],["dc.contributor.affiliation","Terhorst, Yannik; \t\t \r\n\t\t Department of Clinical Psychology and Psychotherapy, Ulm University, 89081 Ulm, Germany, yannik.terhorst@uni-ulm.de"],["dc.contributor.affiliation","Weiß, Martin; \t\t \r\n\t\t Department of Psychiatry, Psychosomatics and Psychotherapy, Center of Mental Health, University Hospital Würzburg, 97080 Würzburg, Germany, weiss_m11@ukw.de"],["dc.contributor.affiliation","Pryss, Rüdiger; \t\t \r\n\t\t Institute of Clinical Epidemiology and Biometry, University of Würzburg, 97080 Würzburg, Germany, ruediger.pryss@uni-wuerzburg.de"],["dc.contributor.author","Beierle, Felix"],["dc.contributor.author","Schobel, Johannes"],["dc.contributor.author","Vogel, Carsten"],["dc.contributor.author","Allgaier, Johannes"],["dc.contributor.author","Mulansky, Lena"],["dc.contributor.author","Haug, Fabian"],["dc.contributor.author","Haug, Julian"],["dc.contributor.author","Schlee, Winfried"],["dc.contributor.author","Holfelder, Marc"],["dc.contributor.author","Stach, Michael"],["dc.contributor.author","Pryss, Rüdiger"],["dc.contributor.author","Krefting, Dagmar"],["dc.contributor.author","Schickler, Marc"],["dc.contributor.author","Baumeister, Harald"],["dc.contributor.author","Cohrdes, Caroline"],["dc.contributor.author","Deckert, Jürgen"],["dc.contributor.author","Deserno, Lorenz"],["dc.contributor.author","Edler, Johanna-Sophie"],["dc.contributor.author","Eichner, Felizitas A."],["dc.contributor.author","Greger, Helmut"],["dc.contributor.author","Hein, Grit"],["dc.contributor.author","Heuschmann, Peter"],["dc.contributor.author","John, Dennis"],["dc.contributor.author","Kestler, Hans A."],["dc.contributor.author","Langguth, Berthold"],["dc.contributor.author","Meybohm, Patrick"],["dc.contributor.author","Probst, Thomas"],["dc.contributor.author","Reichert, Manfred"],["dc.contributor.author","Romanos, Marcel"],["dc.contributor.author","Störk, Stefan"],["dc.contributor.author","Terhorst, Yannik"],["dc.contributor.author","Weiß, Martin"],["dc.date.accessioned","2021-09-01T06:43:06Z"],["dc.date.available","2021-09-01T06:43:06Z"],["dc.date.issued","2021"],["dc.date.updated","2022-02-09T13:20:45Z"],["dc.description.abstract","Physical and mental well-being during the COVID-19 pandemic is typically assessed via surveys, which might make it difficult to conduct longitudinal studies and might lead to data suffering from recall bias. Ecological momentary assessment (EMA) driven smartphone apps can help alleviate such issues, allowing for in situ recordings. Implementing such an app is not trivial, necessitates strict regulatory and legal requirements, and requires short development cycles to appropriately react to abrupt changes in the pandemic. Based on an existing app framework, we developed Corona Health, an app that serves as a platform for deploying questionnaire-based studies in combination with recordings of mobile sensors. In this paper, we present the technical details of Corona Health and provide first insights into the collected data. Through collaborative efforts from experts from public health, medicine, psychology, and computer science, we released Corona Health publicly on Google Play and the Apple App Store (in July 2020) in eight languages and attracted 7290 installations so far. Currently, five studies related to physical and mental well-being are deployed and 17,241 questionnaires have been filled out. Corona Health proves to be a viable tool for conducting research related to the COVID-19 pandemic and can serve as a blueprint for future EMA-based studies. The data we collected will substantially improve our knowledge on mental and physical health states, traits and trajectories as well as its risk and protective factors over the course of the COVID-19 pandemic and its diverse prevention measures."],["dc.description.abstract","Physical and mental well-being during the COVID-19 pandemic is typically assessed via surveys, which might make it difficult to conduct longitudinal studies and might lead to data suffering from recall bias. Ecological momentary assessment (EMA) driven smartphone apps can help alleviate such issues, allowing for in situ recordings. Implementing such an app is not trivial, necessitates strict regulatory and legal requirements, and requires short development cycles to appropriately react to abrupt changes in the pandemic. Based on an existing app framework, we developed Corona Health, an app that serves as a platform for deploying questionnaire-based studies in combination with recordings of mobile sensors. In this paper, we present the technical details of Corona Health and provide first insights into the collected data. Through collaborative efforts from experts from public health, medicine, psychology, and computer science, we released Corona Health publicly on Google Play and the Apple App Store (in July 2020) in eight languages and attracted 7290 installations so far. Currently, five studies related to physical and mental well-being are deployed and 17,241 questionnaires have been filled out. Corona Health proves to be a viable tool for conducting research related to the COVID-19 pandemic and can serve as a blueprint for future EMA-based studies. The data we collected will substantially improve our knowledge on mental and physical health states, traits and trajectories as well as its risk and protective factors over the course of the COVID-19 pandemic and its diverse prevention measures."],["dc.description.sponsorship","German Federal Ministry of Education and Research"],["dc.identifier.doi","10.3390/ijerph18147395"],["dc.identifier.eissn","1660-4601"],["dc.identifier.pii","ijerph18147395"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/89218"],["dc.language.iso","en"],["dc.notes.intern","DOI-Import GROB-455"],["dc.publisher","MDPI"],["dc.relation.eissn","1660-4601"],["dc.rights","https://creativecommons.org/licenses/by/4.0/"],["dc.rights.uri","https://creativecommons.org/licenses/by/4.0/"],["dc.title","Corona Health - A Study- and Sensor-Based Mobile App Platform Exploring Aspects of the COVID-19 Pandemic"],["dc.type","journal_article"],["dc.type.internalPublication","yes"],["dspace.entity.type","Publication"]]

[["dc.bibliographiccitation.firstpage","749"],["dc.bibliographiccitation.issue","5"],["dc.bibliographiccitation.journal","Life"],["dc.bibliographiccitation.volume","12"],["dc.contributor.affiliation","Sommer, Kim K.; 1Peter L. Reichertz Institute for Medical Informatics, TU Braunschweig and Hannover Medical School, Carl-Neuberg-Straße 1, 30625 Hannover, Germany; sommer.kimkatrin@mh-hannover.de (K.K.S.); gietzelt.matthias@mh-hannover.de (M.G.); marschollek.michael@mh-hannover.de (M.M.)"],["dc.contributor.affiliation","Amr, Ali; 2Department of Internal Medicine III (Cardiology, Angiology, and Pneumology), University Hospital Heidelberg, Im Neuenheimer Feld 410, 69120 Heidelberg, Germany; ali.amr@med.uni-heidelberg.de (A.A.); a-kindermann@gmx.net (A.K.); benjamin.meder@med.uni-heidelberg.de (B.M.); philipp.schneider@uni-heidelberg.de (P.S.)"],["dc.contributor.affiliation","Bavendiek, Udo; 4Department of Cardiology and Angiology, Hannover Medical School, Carl-Neuberg-Straße, 130625 Hannover, Germany; bavendiek.udo@mh-hannover.de"],["dc.contributor.affiliation","Beierle, Felix; 5Institute of Clinical Epidemiology and Biometry, University of Würzburg, Am Schwarzenberg 15, 97078 Würzburg, Germany; felix.beierle@uni-wuerzburg.de (F.B.); peter.heuschmann@uni-wuerzburg.de (P.H.); pryss_r@ukw.de (R.P.)"],["dc.contributor.affiliation","Brunecker, Peter; 6Core Facility IT, Berlin Institute of Health at Charité—Universitätsmedizin Berlin, Charitéplatz 1, 10117 Berlin, Germany; peter.brunecker@charite.de (P.B.); jennifer.hoos@charite.de (J.D.E.H.)"],["dc.contributor.affiliation","Dathe, Henning; 8Department of Medical Informatics, University Medical Center Göttingen, Robert-Koch-Str. 40, 37075 Göttingen, Germany; henning.dathe@med.uni-goettingen.de (H.D.); tibor.kesztyues@med.uni-goettingen.de (T.K.); dagmar.krefting@med.uni-goettingen.de (D.K.); jendrik.richter@med.uni-goettingen.de (J.R.)"],["dc.contributor.affiliation","Eils, Jürgen; 9Center Digital Health, Berlin Institute of Health at Charité—Universitätsmedizin Berlin, Charitéplatz 1, 10117 Berlin, Germany; juergen.eils@charite.de"],["dc.contributor.affiliation","Ertl, Maximilian; 10Datenintegrationszentrum (DIZ), Servicezentrum Informatik (SMI), Universitätsklinikum Würzburg (UKW), Schweinfurter Strasse 4, 97078 Würzburg, Germany; ertl_m@ukw.de (M.E.); georg.fette@uni-wuerzburg.de (G.F.)"],["dc.contributor.affiliation","Fette, Georg; 10Datenintegrationszentrum (DIZ), Servicezentrum Informatik (SMI), Universitätsklinikum Würzburg (UKW), Schweinfurter Strasse 4, 97078 Würzburg, Germany; ertl_m@ukw.de (M.E.); georg.fette@uni-wuerzburg.de (G.F.)"],["dc.contributor.affiliation","Gietzelt, Matthias; 1Peter L. Reichertz Institute for Medical Informatics, TU Braunschweig and Hannover Medical School, Carl-Neuberg-Straße 1, 30625 Hannover, Germany; sommer.kimkatrin@mh-hannover.de (K.K.S.); gietzelt.matthias@mh-hannover.de (M.G.); marschollek.michael@mh-hannover.de (M.M.)"],["dc.contributor.affiliation","Heidecker, Bettina; 11Medizinische Klinik für Kardiologie, Charité—Universitätsmedizin Berlin, Charitéplatz 1, 10117 Berlin, Germany; bettina.heidecker@charite.de (B.H.); ulf.landmesser@charite.de (U.L.)"],["dc.contributor.affiliation","Hellenkamp, Kristian; 12Department of Cardiology and Pneumology/Heart Center, University Medical Center Göttingen, Robert-Koch-Str. 40, 37075 Göttingen, Germany; kristian.hellenkamp@med.uni-goettingen.de"],["dc.contributor.affiliation","Heuschmann, Peter; 5Institute of Clinical Epidemiology and Biometry, University of Würzburg, Am Schwarzenberg 15, 97078 Würzburg, Germany; felix.beierle@uni-wuerzburg.de (F.B.); peter.heuschmann@uni-wuerzburg.de (P.H.); pryss_r@ukw.de (R.P.)"],["dc.contributor.affiliation","Hoos, Jennifer D. E.; 6Core Facility IT, Berlin Institute of Health at Charité—Universitätsmedizin Berlin, Charitéplatz 1, 10117 Berlin, Germany; peter.brunecker@charite.de (P.B.); jennifer.hoos@charite.de (J.D.E.H.)"],["dc.contributor.affiliation","Kesztyüs, Tibor; 8Department of Medical Informatics, University Medical Center Göttingen, Robert-Koch-Str. 40, 37075 Göttingen, Germany; henning.dathe@med.uni-goettingen.de (H.D.); tibor.kesztyues@med.uni-goettingen.de (T.K.); dagmar.krefting@med.uni-goettingen.de (D.K.); jendrik.richter@med.uni-goettingen.de (J.R.)"],["dc.contributor.affiliation","Kerwagen, Fabian; 13Department Klinische Forschung und Epidemiologie, Deutsches Zentrum für Herzinsuffizienz, Am Schwarzenberg 15, 97078 Würzburg, Germany; kerwagen_f@ukw.de (F.K.); stoerk_s@ukw.de (S.S.)"],["dc.contributor.affiliation","Kindermann, Aljoscha; 2Department of Internal Medicine III (Cardiology, Angiology, and Pneumology), University Hospital Heidelberg, Im Neuenheimer Feld 410, 69120 Heidelberg, Germany; ali.amr@med.uni-heidelberg.de (A.A.); a-kindermann@gmx.net (A.K.); benjamin.meder@med.uni-heidelberg.de (B.M.); philipp.schneider@uni-heidelberg.de (P.S.)"],["dc.contributor.affiliation","Krefting, Dagmar; 8Department of Medical Informatics, University Medical Center Göttingen, Robert-Koch-Str. 40, 37075 Göttingen, Germany; henning.dathe@med.uni-goettingen.de (H.D.); tibor.kesztyues@med.uni-goettingen.de (T.K.); dagmar.krefting@med.uni-goettingen.de (D.K.); jendrik.richter@med.uni-goettingen.de (J.R.)"],["dc.contributor.affiliation","Landmesser, Ulf; 11Medizinische Klinik für Kardiologie, Charité—Universitätsmedizin Berlin, Charitéplatz 1, 10117 Berlin, Germany; bettina.heidecker@charite.de (B.H.); ulf.landmesser@charite.de (U.L.)"],["dc.contributor.affiliation","Marschollek, Michael; 1Peter L. Reichertz Institute for Medical Informatics, TU Braunschweig and Hannover Medical School, Carl-Neuberg-Straße 1, 30625 Hannover, Germany; sommer.kimkatrin@mh-hannover.de (K.K.S.); gietzelt.matthias@mh-hannover.de (M.G.); marschollek.michael@mh-hannover.de (M.M.)"],["dc.contributor.affiliation","Meder, Benjamin; 2Department of Internal Medicine III (Cardiology, Angiology, and Pneumology), University Hospital Heidelberg, Im Neuenheimer Feld 410, 69120 Heidelberg, Germany; ali.amr@med.uni-heidelberg.de (A.A.); a-kindermann@gmx.net (A.K.); benjamin.meder@med.uni-heidelberg.de (B.M.); philipp.schneider@uni-heidelberg.de (P.S.)"],["dc.contributor.affiliation","Merzweiler, Angela; 17Institute of Medical Informatics, Heidelberg University Hospital, Im Neuenheimer Feld 130.3, 69120 Heidelberg, Germany; angela.merzweiler@med.uni-heidelberg.de"],["dc.contributor.affiliation","Prasser, Fabian; 18Medical Informatics Group, Berlin Institute of Health at Charité—Universitätsmedizin Berlin, Charitéplatz 1, 10117 Berlin, Germany; fabian.prasser@bih-charite.de"],["dc.contributor.affiliation","Pryss, Rüdiger; 5Institute of Clinical Epidemiology and Biometry, University of Würzburg, Am Schwarzenberg 15, 97078 Würzburg, Germany; felix.beierle@uni-wuerzburg.de (F.B.); peter.heuschmann@uni-wuerzburg.de (P.H.); pryss_r@ukw.de (R.P.)"],["dc.contributor.affiliation","Richter, Jendrik; 8Department of Medical Informatics, University Medical Center Göttingen, Robert-Koch-Str. 40, 37075 Göttingen, Germany; henning.dathe@med.uni-goettingen.de (H.D.); tibor.kesztyues@med.uni-goettingen.de (T.K.); dagmar.krefting@med.uni-goettingen.de (D.K.); jendrik.richter@med.uni-goettingen.de (J.R.)"],["dc.contributor.affiliation","Schneider, Philipp; 2Department of Internal Medicine III (Cardiology, Angiology, and Pneumology), University Hospital Heidelberg, Im Neuenheimer Feld 410, 69120 Heidelberg, Germany; ali.amr@med.uni-heidelberg.de (A.A.); a-kindermann@gmx.net (A.K.); benjamin.meder@med.uni-heidelberg.de (B.M.); philipp.schneider@uni-heidelberg.de (P.S.)"],["dc.contributor.affiliation","Störk, Stefan; 13Department Klinische Forschung und Epidemiologie, Deutsches Zentrum für Herzinsuffizienz, Am Schwarzenberg 15, 97078 Würzburg, Germany; kerwagen_f@ukw.de (F.K.); stoerk_s@ukw.de (S.S.)"],["dc.contributor.affiliation","Dieterich, Christoph; 2Department of Internal Medicine III (Cardiology, Angiology, and Pneumology), University Hospital Heidelberg, Im Neuenheimer Feld 410, 69120 Heidelberg, Germany; ali.amr@med.uni-heidelberg.de (A.A.); a-kindermann@gmx.net (A.K.); benjamin.meder@med.uni-heidelberg.de (B.M.); philipp.schneider@uni-heidelberg.de (P.S.)"],["dc.contributor.author","Sommer, Kim K."],["dc.contributor.author","Amr, Ali"],["dc.contributor.author","Bavendiek, Udo"],["dc.contributor.author","Beierle, Felix"],["dc.contributor.author","Brunecker, Peter"],["dc.contributor.author","Dathe, Henning"],["dc.contributor.author","Eils, Jürgen"],["dc.contributor.author","Ertl, Maximilian"],["dc.contributor.author","Fette, Georg"],["dc.contributor.author","Gietzelt, Matthias"],["dc.contributor.author","Dieterich, Christoph"],["dc.contributor.author","Heidecker, Bettina"],["dc.contributor.author","Hellenkamp, Kristian"],["dc.contributor.author","Heuschmann, Peter"],["dc.contributor.author","Hoos, Jennifer D. E."],["dc.contributor.author","Kesztyüs, Tibor"],["dc.contributor.author","Kerwagen, Fabian"],["dc.contributor.author","Kindermann, Aljoscha"],["dc.contributor.author","Krefting, Dagmar"],["dc.contributor.author","Landmesser, Ulf"],["dc.contributor.author","Marschollek, Michael"],["dc.contributor.author","Meder, Benjamin"],["dc.contributor.author","Merzweiler, Angela"],["dc.contributor.author","Prasser, Fabian"],["dc.contributor.author","Pryss, Rüdiger"],["dc.contributor.author","Richter, Jendrik"],["dc.contributor.author","Schneider, Philipp"],["dc.contributor.author","Störk, Stefan"],["dc.date.accessioned","2022-06-01T09:39:59Z"],["dc.date.available","2022-06-01T09:39:59Z"],["dc.date.issued","2022"],["dc.date.updated","2022-06-05T22:44:40Z"],["dc.description.abstract","Risk prediction in patients with heart failure (HF) is essential to improve the tailoring of preventive, diagnostic, and therapeutic strategies for the individual patient, and effectively use health care resources. Risk scores derived from controlled clinical studies can be used to calculate the risk of mortality and HF hospitalizations. However, these scores are poorly implemented into routine care, predominantly because their calculation requires considerable efforts in practice and necessary data often are not available in an interoperable format. In this work, we demonstrate the feasibility of a multi-site solution to derive and calculate two exemplary HF scores from clinical routine data (MAGGIC score with six continuous and eight categorical variables; Barcelona Bio-HF score with five continuous and six categorical variables). Within HiGHmed, a German Medical Informatics Initiative consortium, we implemented an interoperable solution, collecting a harmonized HF-phenotypic core data set (CDS) within the openEHR framework. Our approach minimizes the need for manual data entry by automatically retrieving data from primary systems. We show, across five participating medical centers, that the implemented structures to execute dedicated data queries, followed by harmonized data processing and score calculation, work well in practice. In summary, we demonstrated the feasibility of clinical routine data usage across multiple partner sites to compute HF risk scores. This solution can be extended to a large spectrum of applications in clinical care."],["dc.description.sponsorship","the Federal Ministry of Education and Research (BMBF)"],["dc.identifier.doi","10.3390/life12050749"],["dc.identifier.pii","life12050749"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/108610"],["dc.language.iso","en"],["dc.notes.intern","DOI-Import GROB-572"],["dc.relation.eissn","2075-1729"],["dc.title","Structured, Harmonized, and Interoperable Integration of Clinical Routine Data to Compute Heart Failure Risk Scores"],["dc.type","journal_article"],["dc.type.internalPublication","yes"],["dc.type.subtype","original_ja"],["dspace.entity.type","Publication"]]

[["dc.bibliographiccitation.journal","Frontiers in Neuroinformatics"],["dc.bibliographiccitation.volume","13"],["dc.contributor.author","Beier, Maximilian"],["dc.contributor.author","Penzel, Thomas"],["dc.contributor.author","Krefting, Dagmar"],["dc.date.accessioned","2020-12-10T18:44:34Z"],["dc.date.available","2020-12-10T18:44:34Z"],["dc.date.issued","2019"],["dc.identifier.doi","10.3389/fninf.2019.00065"],["dc.identifier.eissn","1662-5196"],["dc.identifier.purl","https://resolver.sub.uni-goettingen.de/purl?gs-1/16845"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/78505"],["dc.notes.intern","DOI Import GROB-354"],["dc.notes.intern","Merged from goescholar"],["dc.rights","CC BY 4.0"],["dc.rights.uri","https://creativecommons.org/licenses/by/4.0"],["dc.title","A Performant Web-Based Visualization, Assessment, and Collaboration Tool for Multidimensional Biosignals"],["dc.type","journal_article"],["dc.type.internalPublication","yes"],["dc.type.version","published_version"],["dspace.entity.type","Publication"]]

[["dc.bibliographiccitation.journal","Neurology and Therapy"],["dc.contributor.author","Frahm, Niklas"],["dc.contributor.author","Fneish, Firas"],["dc.contributor.author","Ellenberger, David"],["dc.contributor.author","Flachenecker, Peter"],["dc.contributor.author","Paul, Friedemann"],["dc.contributor.author","Warnke, Clemens"],["dc.contributor.author","Kleinschnitz, Christoph"],["dc.contributor.author","Parciak, Tina"],["dc.contributor.author","Krefting, Dagmar"],["dc.contributor.author","Hellwig, Kerstin"],["dc.contributor.author","Haas, Judith"],["dc.contributor.author","Rommer, Paulus S."],["dc.contributor.author","Stahmann, Alexander"],["dc.contributor.author","Zettl, Uwe K."],["dc.date.accessioned","2022-02-01T10:32:01Z"],["dc.date.accessioned","2022-08-18T12:41:03Z"],["dc.date.available","2022-02-01T10:32:01Z"],["dc.date.available","2022-08-18T12:41:03Z"],["dc.date.issued","2022-01-12"],["dc.date.updated","2022-07-29T12:18:29Z"],["dc.description.abstract","Abstract\r\n \r\n Introductions\r\n Therapy switches in patients with multiple sclerosis (MS) receiving treatment with fingolimod occur frequently in clinical practice but are not well represented in real-world data. The aim of this study was to identify and characterize treatment switches and reveal sociodemographic/clinical changes over time in fingolimod-treated people with MS (PwMS).\r\n \r\n \r\n Methods\r\n Data on 2536 fingolimod-treated PwMS extracted from the German MS Registry during different time periods were analyzed (2010–2019).\r\n \r\n \r\n Results\r\n Overall, 28.3% of PwMS were treatment-naïve before fingolimod initiation. Interferon beta (30.7%) was the most common pre-fingolimod treatment. Ocrelizumab (19.8%) was the most frequent subsequent treatment in the 944 patients on fingolimod who switched. Between 2010 and 2019, median disease duration at fingolimod initiation decreased from 8.5 to 7.1 years (p < 0.001), and patients taking fingolimod for ≥ 1 year after treatment initiation decreased from 89.6 to 80.5% (p < 0.001). Females (p < 0.001) and young patients (p = 0.003) showed a shorter time on fingolimod. The most frequent reason for switching was disease activity (relapse/MRI) despite treatment. The annualized relapse rate increased from 0.37 in patients on fingolimod to 0.47 after treatment cessation, decreasing to 0.19 after treatment with a subsequent disease-modifying drug (DMD) was initiated.\r\n \r\n \r\n Conclusion\r\n Treatment switches from fingolimod to subsequent DMDs currently occur after shorter treatment durations than 10 years ago, possibly due to the growing treatment spectrum. Planning adequate washout periods is essential and should be done on an individualized basis."],["dc.identifier.doi","10.1007/s40120-021-00320-w"],["dc.identifier.pii","320"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/99001"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/112988"],["dc.language.iso","en"],["dc.notes.intern","DOI-Import GROB-517"],["dc.publisher","Springer Healthcare"],["dc.relation.eissn","2193-6536"],["dc.relation.issn","2193-8253"],["dc.rights.holder","The Author(s)"],["dc.rights.uri","https://creativecommons.org/licenses/by-nc/4.0"],["dc.subject","Multiple sclerosis"],["dc.subject","Fingolimod"],["dc.subject","Treatment switches"],["dc.subject","Rebound"],["dc.subject","Disease-modifying drug"],["dc.title","Therapy Switches in Fingolimod-Treated Patients with Multiple Sclerosis: Long-Term Experience from the German MS Registry"],["dc.type","journal_article"],["dc.type.internalPublication","yes"],["dspace.entity.type","Publication"]]