TY - CHAP A1 - Kernebeck, Sven A1 - Holle, Daniela A1 - Halek, Margareta T1 - Evaluation und erstmalige Anwendung einer app- und sensorbasierten assistiven Technologie für Angehörige von Menschen mit Demenz zum Umgang mit herausforderndem Verhalten - Ergebnisse und Erfahrungen T2 - 18. Deutscher Kongress für Versorgungsforschung (DKVF). Berlin, 09.-11.10.2019 Y1 - 2019 U6 - http://dx.doi.org/10.3205/19dkvf018 ER - TY - CHAP A1 - Kernebeck, Sven A1 - Redaelli, Marcus A1 - Kramer, Ursula A1 - Vollmar, Horst Christian T1 - Wie sollen digitale Gesundheitsanwendungen durch die Versorgungsforschung evaluiert werden? T2 - 18. Deutscher Kongress für Versorgungsforschung (DKVF). Berlin, 09.-11.10.2019 Y1 - 2019 U6 - http://dx.doi.org/10.3205/19dkvf029 ER - TY - CHAP A1 - Kernebeck, Sven T1 - It’s a Long Way to the Bot! Zeitenwende bei der altersgerechten Mensch-Technik-Interaktion durch chatbots und conversational user interfaces auf Basis Künstlicher Intelligenz? T2 - Deutsche Gesellschaft für Gerontologie und Geriartrie e.V. DGGG Kongress, September 2019, Köln Y1 - 2019 ER - TY - GEN A1 - Ehlers, Jan Peter A1 - Kernebeck, Sven A1 - Pilgrim, Katharina A1 - Hoffmann, Marcellus T1 - Digital Literacy in Health Curricula T2 - XPOMET© 360° Next Generation Healthcare Y1 - 2019 SN - 978-3-95466-436-8 SP - 367 EP - 372 ER - TY - CHAP A1 - Kernebeck, Sven T1 - Chatbots und sprachbasierte Dialogsysteme als neues Paradigma der Mensch-Technik-Interaktion – Neue Perspektiven der Nutzerinnen- und Nutzerzentrierung im Gesundheitswesen. T2 - Nutzerorientierte Gesundheitstechnologien - Im Kontext von Therapie und Pflege Y1 - 2019 SN - 978-3-456-95884-2 SP - 87 EP - 100 PB - Hogrefe ER - TY - JOUR A1 - Kernebeck, Sven T1 - Schmerz und Schmerzmanagement JF - NOVAcura Y1 - 2019 SP - 1 EP - 5 ER - TY - JOUR A1 - Kernebeck, Sven A1 - Holle, Daniela A1 - Pogscheba, Patrick A1 - Jordan, Felix A1 - Mertl, Fabian A1 - Huldtgren, Alina A1 - Bader, Sebastian A1 - Kirste, Thomas A1 - Teipel, Stefan A1 - Holle, Bernhard A1 - Halek, Margareta T1 - 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) JF - JMIR Res Protoc N2 - 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 Y1 - 2019 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:hbz:836-opus-173061 VL - 8 IS - 2 ER - TY - JOUR A1 - Amaefule, Chimezie O. A1 - Goerss, Doreen A1 - Halek, Margareta A1 - Kernebeck, Sven A1 - Kirste, Thomas A1 - Teipel, Stefan J. T1 - PREDICTING DAYTIME MANIFESTATIONS OF CHALLENGING BEHAVIOURS IN ADVANCED STAGES OF DEMENTIA USING PRE-DAYTIME ACCELEROMETRY: POST-HOC ANALYSIS OF THE DZNE ROSTOCK INSIDEDEM STUDY JF - Alzheimer's & Dementia Y1 - 2019 U6 - http://dx.doi.org/10.1016/j.jalz.2019.06.4063 SN - 1552-5260 VL - 15 SP - P1451 EP - P1452 ER - TY - JOUR A1 - Kernebeck, Sven A1 - Holle, Daniela A1 - Pogscheba, Patrick A1 - Jordan, Felix A1 - Mertl, Fabian A1 - Huldtgren, Alina A1 - Bader, Sebastian A1 - Kirste, Thomas A1 - Teipel, Stefan A1 - Holle, Bernhard A1 - Halek, Margareta T1 - 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 JF - JMIR Research Protocols N2 - 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 Y1 - 2019 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:hbz:836-opus-173274 SN - 1929-0748 VL - 8 SP - e11630 ER - TY - JOUR A1 - Goerss, Doreen A1 - Hein, Albert A1 - Bader, Sebastian A1 - Halek, Margareta A1 - Kernebeck, Sven A1 - Kutschke, Andreas A1 - Kirste, Thomas A1 - Teipel, Stefan J. T1 - P1‐284: AUTOMATED SENSOR‐BASED DETECTION OF CHALLENGING BEHAVIORS IN ADVANCED STAGES OF DEMENTIA IN NURSING HOMES JF - Alzheimer's & Dementia Y1 - 2019 U6 - http://dx.doi.org/10.1016/j.jalz.2019.06.839 SN - 1552-5260 VL - 15 IS - 7S_Part_7 SP - P351 ER -