@inproceedings{BusseJuxKernebecketal.2021, author = {Busse, Theresa Sophie and Jux, Chantal and Kernebeck, Sven and Meyer, Dorothee and Dreier, Larissa and Zenz, Daniel and Wager, Julia and Zernikow, Boris and Ehlers, Jan Peter}, title = {"Manchmal gehen die Faxger{\"a}te gerade nicht so wie sie sollen. Dann kommt irgendwie nichts an und dann ruft man das f{\"u}nfte Mal an." - Nutzung von Design Thinking zur partizipativen Entwicklung einer elektronischen Fallakte in der p{\"a}diatrischen Palliativversorgung}, series = {20. Deutscher Kongress f{\"u}r Versorgungsforschung, 06. - 08.10.2021, digital}, booktitle = {20. Deutscher Kongress f{\"u}r Versorgungsforschung, 06. - 08.10.2021, digital}, doi = {10.3205/21dkvf220}, year = {2021}, language = {de} } @article{KostorzKernebeck2015, author = {Kostorz, Peter and Kernebeck, Sven}, title = {20 Jahre soziale Pflegeversicherung - Bilanz und Ausblick}, series = {Wege zur Sozialversicherung}, journal = {Wege zur Sozialversicherung}, issn = {0043-2059}, doi = {10.37307/j.2191-7345.2015.02.03}, pages = {35 -- 41}, year = {2015}, language = {de} } @article{KernebeckRaaschOstermann2014, author = {Kernebeck, Sven and Raasch, Dominik and Ostermann, R{\"u}diger}, title = {[Certification of fitness and health apps - a critical acknowledgment. Available for free, commercial or research oriented].}, series = {Pflege Zeitschrift}, volume = {67}, journal = {Pflege Zeitschrift}, issn = {0945-1129}, pages = {136 -- 9}, year = {2014}, 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}, 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} } @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{KernebeckBusseEhlersetal.2021, author = {Kernebeck, Sven and Busse, Theresa Sophie and Ehlers, Jan Peter and Vollmar, Horst Christian}, title = {Adh{\"a}renz digitaler Interventionen im Gesundheitswesen: Definitionen, Methoden und offene Fragen}, series = {Bundesgesundheitsblatt - Gesundheitsforschung - Gesundheitsschutz}, volume = {64}, journal = {Bundesgesundheitsblatt - Gesundheitsforschung - Gesundheitsschutz}, issn = {1436-9990}, doi = {10.25974/fhms-17318}, url = {http://nbn-resolving.de/urn:nbn:de:hbz:836-opus-173188}, pages = {1278 -- 1284}, year = {2021}, abstract = {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.}, language = {en} } @misc{Kernebeck2016, author = {Kernebeck, Sven}, title = {App- und sensorbasierte- assistive Technologien f{\"u}r Angeh{\"o}rige von Menschen mit Demenz zum Umgang mit herausforderndem Verhalten in der H{\"a}uslichkeit - Projekt insideDEM}, series = {Vortrag auf der Tagung -Technologie und Gesundheit - eHealth in Interaktionen, September 2016, Hochschule f{\"u}r Gesundheit, Bochum}, journal = {Vortrag auf der Tagung -Technologie und Gesundheit - eHealth in Interaktionen, September 2016, Hochschule f{\"u}r Gesundheit, Bochum}, year = {2016}, language = {de} } @article{BusseNitscheKernebecketal.2022, author = {Busse, Theresa Sophie and Nitsche, Julia and Kernebeck, Sven and Jux, Chantal and Weitz, J{\"u}rgen and Ehlers, Jan P. and Bork, Ulrich}, title = {Approaches to Improvement of Digital Health Literacy (eHL) in the Context of Person-Centered Care}, series = {International Journal of Environmental Research and Public Health}, volume = {19}, journal = {International Journal of Environmental Research and Public Health}, issn = {1661-7827}, doi = {10.25974/fhms-17311}, url = {http://nbn-resolving.de/urn:nbn:de:hbz:836-opus-173115}, pages = {8309}, year = {2022}, abstract = {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.}, 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{GoerssHeinBaderetal.2020, author = {Goerss, Doreen and Hein, Albert and Bader, Sebastian and Halek, Margareta and Kernebeck, Sven and Kutschke, Andreas and Heine, Christina and Krueger, Frank and Kirste, Thomas and Teipel, Stefan}, title = {Automated sensor-based detection of challenging behaviors in advanced stages of dementia in nursing homes}, series = {Alzheimer's \& Dementia}, volume = {16}, journal = {Alzheimer's \& Dementia}, issn = {1552-5260}, doi = {10.1016/j.jalz.2019.08.193}, pages = {672 -- 680}, year = {2020}, abstract = {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.}, language = {mul} }