J
Jörn Moock
Researcher at Lüneburg University
Publications - 33
Citations - 700
Jörn Moock is an academic researcher from Lüneburg University. The author has contributed to research in topics: Health care & Mental health. The author has an hindex of 11, co-authored 33 publications receiving 606 citations. Previous affiliations of Jörn Moock include University of Greifswald & Greifswald University Hospital.
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Journal ArticleDOI
Using Smartphones to Monitor Bipolar Disorder Symptoms: A Pilot Study
Till Beiwinkel,Sally Sophie Kindermann,Andreas Maier,Christopher Kerl,Jörn Moock,Guido Barbian,Wulf Rössler +6 more
TL;DR: Clinical symptoms were related to some objective and subjective smartphone measurements, but not all smartphone measures predicted the occurrence of bipolar symptoms above clinical thresholds, suggesting smartphones have the potential to monitor bipolar disorder symptoms in patients’ daily life.
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Cost of illness for bipolar disorder: a systematic review of the economic burden.
Katja Kleine-Budde,Elina Touil,Jörn Moock,Anke Bramesfeld,Wolfram Kawohl,Wolfram Kawohl,Wulf Rössler,Wulf Rössler,Wulf Rössler +8 more
TL;DR: The present study systematically analyzed those costs, their driving components, and the methodological quality with which the few existing cost‐of‐illness investigations have been performed.
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Self-perceived quality of life predicts mortality risk better than a multi-biomarker panel, but the combination of both does best
Robin Haring,You Shan Feng,Jörn Moock,Henry Völzke,Marcus Dörr,Matthias Nauck,Henri Wallaschofski,Thomas Kohlmann +7 more
TL;DR: Adding biomarker information did not affect the association of subjective health measures with mortality, but significantly improved risk stratification, which may be useful to identify high-risk individuals for intensified monitoring.
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The cost of depression – A cost analysis from a large database
Katja Kleine-Budde,Romina Müller,Wolfram Kawohl,Wolfram Kawohl,Anke Bramesfeld,Anke Bramesfeld,Jörn Moock,Wulf Rössler,Wulf Rössler,Wulf Rössler +9 more
TL;DR: It was found that persons with a severe course of disease and unemployed persons are more costly than other persons, and gender, age, residency within an urban area, occupational status and the type of diagnosis had a significant impact on these costs.
Journal ArticleDOI
[Comments by the Working Group for Methods of Economic Evaluation in Health Care (AG MEG) to IQWiG's Draft Guidelines "Methods for Assessment of the Relation of Benefits to Costs in the German Statutory Health Care System"].
Christian Krauth,J. John,Pamela Aidelsburger,Bernd Brüggenjürgen,T. Hansmeier,Franz Hessel,Thomas Kohlmann,Jörn Moock,H. Rothgang,Bernd Schweikert,R. Seitz,Juergen Wasem +11 more
TL;DR: In this article, the AG Methoden der Gesundheitsokonomischen Evaluation (AG MEG--"Working Group for methods of economic evaluation in health care") provides a critical appraisal and recommendations for the further development of IQWIG's draft guidelines.