TY - CHAP A1 - Busse, Theresa Sophie A1 - Jux, Chantal A1 - Kernebeck, Sven A1 - Meyer, Dorothee A1 - Dreier, Larissa A1 - Zenz, Daniel A1 - Wager, Julia A1 - Zernikow, Boris A1 - Ehlers, Jan Peter T1 - "Manchmal gehen die Faxgeräte gerade nicht so wie sie sollen. Dann kommt irgendwie nichts an und dann ruft man das fünfte Mal an." - Nutzung von Design Thinking zur partizipativen Entwicklung einer elektronischen Fallakte in der pädiatrischen Palliativversorgung T2 - 20. Deutscher Kongress für Versorgungsforschung, 06. - 08.10.2021, digital Y1 - 2021 U6 - http://dx.doi.org/10.3205/21dkvf220 ER - TY - JOUR A1 - Kostorz, Peter A1 - Kernebeck, Sven T1 - 20 Jahre soziale Pflegeversicherung - Bilanz und Ausblick JF - Wege zur Sozialversicherung Y1 - 2015 U6 - http://dx.doi.org/10.37307/j.2191-7345.2015.02.03 SN - 0043-2059 SP - 35 EP - 41 ER - TY - JOUR A1 - Kernebeck, Sven A1 - Raasch, Dominik A1 - Ostermann, Rüdiger T1 - [Certification of fitness and health apps - a critical acknowledgment. Available for free, commercial or research oriented]. JF - Pflege Zeitschrift Y1 - 2014 SN - 0945-1129 VL - 67 SP - 136 EP - 9 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 - 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 - Kernebeck, Sven A1 - Busse, Theresa Sophie A1 - Ehlers, Jan Peter A1 - Vollmar, Horst Christian T1 - Adhärenz digitaler Interventionen im Gesundheitswesen: Definitionen, Methoden und offene Fragen JF - Bundesgesundheitsblatt - Gesundheitsforschung - Gesundheitsschutz N2 - AbstractMany digital interventions rely on the participation of their users to have a positive impact. In various areas it can be observed that the use of digital interventions is often reduced or fully discontinued by the users after a short period of time. This is seen as one of the main factors that can limit the effectiveness of digital interventions. In this context, the concept of adherence to digital interventions is becoming increasingly important. Adherence to digital interventions is roughly defined as “the degree to which the user followed the program as it was designed,” which can also be paraphrased as “intended use” or “use as it is designed.” However, both the theoretical–conceptual and practical discussions regarding adherence to digital interventions still receive too little attention.The aim of this narrative review article is to shed more light on the concept of adherence to digital interventions and to distinguish it from related concepts. It also discusses the methods and metrics that can be used to operationalize adherence and the predictors that positively influence adherence. Finally, needs for action to better address adherence are considered critically. Y1 - 2021 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:hbz:836-opus-173188 SN - 1436-9990 VL - 64 SP - 1278 EP - 1284 ER - TY - GEN A1 - Kernebeck, Sven T1 - App- und sensorbasierte- assistive Technologien für Angehörige von Menschen mit Demenz zum Umgang mit herausforderndem Verhalten in der Häuslichkeit - Projekt insideDEM T2 - Vortrag auf der Tagung –Technologie und Gesundheit - eHealth in Interaktionen, September 2016, Hochschule für Gesundheit, Bochum Y1 - 2016 ER - TY - JOUR A1 - Busse, Theresa Sophie A1 - Nitsche, Julia A1 - Kernebeck, Sven A1 - Jux, Chantal A1 - Weitz, Jürgen A1 - Ehlers, Jan P. A1 - Bork, Ulrich T1 - Approaches to Improvement of Digital Health Literacy (eHL) in the Context of Person-Centered Care JF - International Journal of Environmental Research and Public Health N2 - The skills, knowledge and resources to search for, find, understand, evaluate and apply health information is defined as health literacy (HL). If individuals want to use health information from the Internet, they need Digital Health Literacy (eHL), which in addition to HL also includes, for example, media literacy. If information cannot be found or understood by patients due to low (e)HL, patients will not have the opportunity to make informed decisions. In addition, many health apps for self-management or prevention also require (e)HL. Thus, it follows that active participation in healthcare, in terms of Person-Centered Care (PCC) is only possible through (e)HL. Currently, there is a great need to strengthen these competencies in society to achieve increased empowerment of patients and their health. However, at the same time, there is a need to train and improve competencies in the field of healthcare professionals so that they can counsel and guide patients. This article provides an overview with a focus on HL and eHL in healthcare, shows the opportunities to adapt services and describes the possible handling of patients with low (e)HL. In addition, the opportunities for patients and healthcare professionals to improve (e)HL are highlighted. Y1 - 2022 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:hbz:836-opus-173115 SN - 1661-7827 VL - 19 SP - 8309 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 - 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.2019.06.4309 SN - 1552-5260 VL - 15 SP - P151 EP - P152 ER - TY - JOUR A1 - Goerss, Doreen A1 - Hein, Albert A1 - Bader, Sebastian A1 - Halek, Margareta A1 - Kernebeck, Sven A1 - Kutschke, Andreas A1 - Heine, Christina A1 - Krueger, Frank A1 - Kirste, Thomas A1 - Teipel, Stefan T1 - Automated sensor‐based detection of challenging behaviors in advanced stages of dementia in nursing homes JF - Alzheimer's & Dementia N2 - Sensor‐based assessment of challenging behaviors in dementia may be useful to support caregivers. Here, we investigated accelerometry as tool for identification and prediction of challenging behaviors. We set up a complex data recording study in two nursing homes with 17 persons in advanced stages of dementia. Study included four‐week observation of behaviors. In parallel, subjects wore sensors 24 h/7 d. Participants underwent neuropsychological assessment including MiniMental State Examination and Cohen‐Mansfield Agitation Inventory. We calculated the accelerometric motion score (AMS) from accelerometers. The AMS was associated with several types of agitated behaviors and could predict subject's Cohen‐Mansfield Agitation Inventory values. Beyond the mechanistic association between AMS and behavior on the group level, the AMS provided an added value for prediction of behaviors on an individual level. We confirm that accelerometry can provide relevant information about challenging behaviors. We extended previous studies by differentiating various types of agitated behaviors and applying long‐term measurements in a real‐world setting. Y1 - 2020 U6 - http://dx.doi.org/10.1016/j.jalz.2019.08.193 SN - 1552-5260 VL - 16 SP - 672 EP - 680 ER -