@inproceedings{KernebeckRedaelliKrameretal.2019,
  author    = {Kernebeck, Sven and Redaelli, Marcus and Kramer, Ursula and Vollmar, Horst Christian},
  title     = {Wie sollen digitale Gesundheitsanwendungen durch die Versorgungsforschung evaluiert werden?},
  series = {18. Deutscher Kongress f{\"u}r Versorgungsforschung (DKVF). Berlin, 09.-11.10.2019},
  booktitle = {18. Deutscher Kongress f{\"u}r Versorgungsforschung (DKVF). Berlin, 09.-11.10.2019},
  doi       = {10.3205/19dkvf029},
  year      = {2019},
  language  = {de}
}
@article{Kernebeck2019,
  author    = {Kernebeck, Sven},
  title     = {Schmerz und Schmerzmanagement},
  series = {NOVAcura},
  journal   = {NOVAcura},
  pages     = {1 -- 5},
  year      = {2019},
  language  = {de}
}
@article{AmaefuleGoerssHaleketal.2019,
  author    = {Amaefule, Chimezie O. and Goerss, Doreen and Halek, Margareta and Kernebeck, Sven and Kirste, Thomas and Teipel, Stefan J.},
  title     = {PREDICTING DAYTIME MANIFESTATIONS OF CHALLENGING BEHAVIOURS IN ADVANCED STAGES OF DEMENTIA USING PRE-DAYTIME ACCELEROMETRY: POST-HOC ANALYSIS OF THE DZNE ROSTOCK INSIDEDEM STUDY},
  series = {Alzheimer's \& Dementia},
  volume    = {15},
  journal   = {Alzheimer's \& Dementia},
  issn      = {1552-5260},
  doi       = {10.1016/j.jalz.2019.06.4063},
  pages     = {P1451 -- P1452},
  year      = {2019},
  language  = {en}
}
@article{AmaefuleGoerssHaleketal.2019,
  author    = {Amaefule, Chimezie O. and Goerss, Doreen and Halek, Margareta and Kernebeck, Sven and Kirste, Thomas and Teipel, Stefan J.},
  title     = {PREDICTING DAYTIME MANIFESTATIONS OF CHALLENGING BEHAVIOURS IN ADVANCED STAGES OF DEMENTIA USING PRE-DAYTIME ACCELEROMETRY: POST-HOC ANALYSIS OF THE DZNE ROSTOCK INSIDEDEM STUDY},
  series = {Alzheimer's \& Dementia},
  volume    = {15},
  journal   = {Alzheimer's \& Dementia},
  issn      = {1552-5260},
  doi       = {10.1016/j.jalz.2019.06.4340},
  pages     = {P165 -- P166},
  year      = {2019},
  language  = {en}
}
@article{GoerssHeinBaderetal.2019,
  author    = {Goerss, Doreen and Hein, Albert and Bader, Sebastian and Halek, Margareta and Kernebeck, Sven and Kutschke, Andreas and Kirste, Thomas and Teipel, Stefan J.},
  title     = {P1-284: AUTOMATED SENSOR-BASED DETECTION OF CHALLENGING BEHAVIORS IN ADVANCED STAGES OF DEMENTIA IN NURSING HOMES},
  series = {Alzheimer's \& Dementia},
  volume    = {15},
  journal   = {Alzheimer's \& Dementia},
  number    = {7S_Part_7},
  issn      = {1552-5260},
  doi       = {10.1016/j.jalz.2019.06.839},
  pages     = {P351},
  year      = {2019},
  language  = {en}
}
@inproceedings{Kernebeck2019,
  author    = {Kernebeck, Sven},
  title     = {It's a Long Way to the Bot! Zeitenwende bei der altersgerechten Mensch-Technik-Interaktion durch chatbots und conversational user interfaces auf Basis K{\"u}nstlicher Intelligenz?},
  series = {Deutsche Gesellschaft f{\"u}r Gerontologie und Geriartrie e.V. DGGG Kongress, September 2019, K{\"o}ln},
  booktitle = {Deutsche Gesellschaft f{\"u}r Gerontologie und Geriartrie e.V. DGGG Kongress, September 2019, K{\"o}ln},
  year      = {2019},
  language  = {de}
}
@inproceedings{KernebeckHolleHalek2019,
  author    = {Kernebeck, Sven and Holle, Daniela and Halek, Margareta},
  title     = {Evaluation und erstmalige Anwendung einer app- und sensorbasierten assistiven Technologie f{\"u}r Angeh{\"o}rige von Menschen mit Demenz zum Umgang mit herausforderndem Verhalten - Ergebnisse und Erfahrungen},
  series = {18. Deutscher Kongress f{\"u}r Versorgungsforschung (DKVF). Berlin, 09.-11.10.2019},
  booktitle = {18. Deutscher Kongress f{\"u}r Versorgungsforschung (DKVF). Berlin, 09.-11.10.2019},
  doi       = {10.3205/19dkvf018},
  year      = {2019},
  language  = {de}
}
@misc{EhlersKernebeckPilgrimetal.2019,
  author    = {Ehlers, Jan Peter and Kernebeck, Sven and Pilgrim, Katharina and Hoffmann, Marcellus},
  title     = {Digital Literacy in Health Curricula},
  series = {XPOMET© 360° Next Generation Healthcare},
  journal   = {XPOMET© 360° Next Generation Healthcare},
  isbn      = {978-3-95466-436-8},
  pages     = {367 -- 372},
  year      = {2019},
  language  = {mul}
}
@incollection{Kernebeck2019,
  author    = {Kernebeck, Sven},
  title     = {Chatbots und sprachbasierte Dialogsysteme als neues Paradigma der Mensch-Technik-Interaktion - Neue Perspektiven der Nutzerinnen- und Nutzerzentrierung im Gesundheitswesen.},
  series = {Nutzerorientierte Gesundheitstechnologien - Im Kontext von Therapie und Pflege},
  booktitle = {Nutzerorientierte Gesundheitstechnologien - Im Kontext von Therapie und Pflege},
  publisher = {Hogrefe},
  isbn      = {978-3-456-95884-2},
  pages     = {87 -- 100},
  year      = {2019},
  language  = {de}
}
@article{GoerssHeinBaderetal.2019,
  author    = {Goerss, Doreen and Hein, Albert and Bader, Sebastian and Halek, Margareta and Kernebeck, Sven and Kutschke, Andreas and Kirste, Thomas and Teipel, Stefan J.},
  title     = {AUTOMATED SENSOR-BASED DETECTION OF CHALLENGING BEHAVIORS IN ADVANCED STAGES OF DEMENTIA IN NURSING HOMES},
  series = {Alzheimer's \& Dementia},
  volume    = {15},
  journal   = {Alzheimer's \& Dementia},
  issn      = {1552-5260},
  doi       = {10.1016/j.jalz.2019.06.4309},
  pages     = {P151 -- P152},
  year      = {2019},
  language  = {en}
}
@article{KernebeckHollePogschebaetal.2019,
  author    = {Kernebeck, Sven and Holle, Daniela and Pogscheba, Patrick and Jordan, Felix and Mertl, Fabian and Huldtgren, Alina and Bader, Sebastian and Kirste, Thomas and Teipel, Stefan and Holle, Bernhard and Halek, Margareta},
  title     = {A Tablet App- and Sensor-Based Assistive Technology Intervention for Informal Caregivers to Manage the Challenging Behavior of People With Dementia (the insideDEM Study): Protocol for a Feasibility Study (Preprint)},
  series = {JMIR Res Protoc},
  volume    = {8},
  journal   = {JMIR Res Protoc},
  number    = {2},
  doi       = {10.25974/fhms-17306},
  url       = {http://nbn-resolving.de/urn:nbn:de:hbz:836-opus-173061},
  year      = {2019},
  abstract  = {BACKGROUND Despite the enormous number of assistive technologies (ATs) in dementia care, the management of challenging behavior (CB) of persons with dementia (PwD) by informal caregivers in home care is widely disregarded. The first-line strategy to manage CB is to support the understanding of the underlying causes of CB to formulate individualized nonpharmacological interventions. App- and sensor-based approaches combining multimodal sensors (actimetry and other modalities) and caregiver information are innovative ways to support the understanding of CB for family caregivers. OBJECTIVE The main aim of this study is to describe the design of a feasibility study consisting of an outcome and a process evaluation of a newly developed app- and sensor-based intervention to manage CB of PwD for family caregivers at home. METHODS In this feasibility study, we perform an outcome and a process evaluation with a pre-post descriptive design over an 8-week intervention period. The Medical Research Council framework guides the design of this feasibility study. The data on 20 dyads (primary caregiver and PwD) are gathered through standardized questionnaires, protocols, and log files as well as semistructured qualitative interviews. The outcome measures (neuropsychiatric inventory and Cohen-Mansfield agitation inventory) are analyzed by using descriptive statistics and statistical tests relevant to the individual assessments (eg, chi-square test and Wilcoxon signed-rank test). For the analysis of the process data, the Unified Theory of Acceptance and Use of Technology is used. Log files are analyzed by using descriptive statistics, protocols are analyzed by using documentary analysis, and semistructured interviews are analyzed deductively using content analysis. RESULTS The newly developed app- and sensor-based AT has been developed and was evaluated until July in 2018. The recruitment of dyads started in September 2017 and was concluded in March 2018. The data collection was completed at the end of July 2018. CONCLUSIONS This study presents the protocol of the first feasibility study to encompass an outcome and process evaluation to assess a complex app- and sensor-based AT combining multimodal actimetry sensors for informal caregivers to manage CB. The feasibility study will provide in-depth information about the study procedure and on how to optimize the design of the intervention and its delivery. INTERNATIONAL REGISTERED REPOR DERR1-10.2196/11630},
  language  = {de}
}
@article{KernebeckHollePogschebaetal.2019,
  author    = {Kernebeck, Sven and Holle, Daniela and Pogscheba, Patrick and Jordan, Felix and Mertl, Fabian and Huldtgren, Alina and Bader, Sebastian and Kirste, Thomas and Teipel, Stefan and Holle, Bernhard and Halek, Margareta},
  title     = {A Tablet App- and Sensor-Based Assistive Technology Intervention for Informal Caregivers to Manage the Challenging Behavior of People With Dementia (the insideDEM Study): Protocol for a Feasibility Study},
  series = {JMIR Research Protocols},
  volume    = {8},
  journal   = {JMIR Research Protocols},
  issn      = {1929-0748},
  doi       = {10.25974/fhms-17327},
  url       = {http://nbn-resolving.de/urn:nbn:de:hbz:836-opus-173274},
  pages     = {e11630},
  year      = {2019},
  abstract  = {Despite the enormous number of assistive technologies (ATs) in dementia care, the management of challenging behavior (CB) of persons with dementia (PwD) by informal caregivers in home care is widely disregarded. The first-line strategy to manage CB is to support the understanding of the underlying causes of CB to formulate individualized nonpharmacological interventions. App- and sensor-based approaches combining multimodal sensors (actimetry and other modalities) and caregiver information are innovative ways to support the understanding of CB for family caregivers. The main aim of this study is to describe the design of a feasibility study consisting of an outcome and a process evaluation of a newly developed app- and sensor-based intervention to manage CB of PwD for family caregivers at home. In this feasibility study, we perform an outcome and a process evaluation with a pre-post descriptive design over an 8-week intervention period. The Medical Research Council framework guides the design of this feasibility study. The data on 20 dyads (primary caregiver and PwD) are gathered through standardized questionnaires, protocols, and log files as well as semistructured qualitative interviews. The outcome measures (neuropsychiatric inventory and Cohen-Mansfield agitation inventory) are analyzed by using descriptive statistics and statistical tests relevant to the individual assessments (eg, chi-square test and Wilcoxon signed-rank test). For the analysis of the process data, the Unified Theory of Acceptance and Use of Technology is used. Log files are analyzed by using descriptive statistics, protocols are analyzed by using documentary analysis, and semistructured interviews are analyzed deductively using content analysis. The newly developed app- and sensor-based AT has been developed and was evaluated until July in 2018. The recruitment of dyads started in September 2017 and was concluded in March 2018. The data collection was completed at the end of July 2018. This study presents the protocol of the first feasibility study to encompass an outcome and process evaluation to assess a complex app- and sensor-based AT combining multimodal actimetry sensors for informal caregivers to manage CB. The feasibility study will provide in-depth information about the study procedure and on how to optimize the design of the intervention and its delivery. DERR1-10.2196/11630},
  language  = {en}
}