TY  - THES
A1  - Sensen, Karina
T1  - Ethische Inhalte in der Gesundheits- und Krankenpflegeausbildung vermitteln. Didaktische und methodische Aufbereitung für Lehrende an Gesundheits- und Krankenpflegeschulen
N2  - In dieser Masterthesis wird vorgestellt, wie der Unterricht im Bereich Ethik in der Gesundheits- und Krankenpflegeausbildung konzipiert sein kann, damit Auszubildende Ethik als praxisnahes Thema mit engen Bezügen zu ihrem eigenen beruflichen Handeln erkennen und wahrnehmen. Die Sensibilität für ethische Konflikte im beruflichen Alltag der Auszubildenden stellt hierfür den Ausgangspunkt dar. Unter Einbezug der Interaktionistischen Pflegedidaktik von Ingrid Darmann-Finck werden dazu Unterrichtssequenzen zu ethischen Inhalten in der Gesundheits- und Krankenpflegeausbildung entwickelt und exemplarisch ausgearbeitet.
KW  - Gesundheits- und Krankenpflegeausbildung
KW  - Unterricht im Bereich Ethik
Y1  - 2017
U6  - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:hbz:836-opus-10497
ER  - 
TY  - JOUR
A1  - Teipel, Stefan
A1  - Heine, Christina
A1  - Hein, Albert
A1  - Krüger, Frank
A1  - Kutschke, Andreas
A1  - Kernebeck, Sven
A1  - Halek, Margareta
A1  - Bader, Sebastian
A1  - Kirste, Thomas
T1  - Multidimensional assessment of challenging behaviors in advanced stages of dementia in nursing homes—The insideDEM framework
JF  - Alzheimer's & Dementia: Diagnosis, Assessment & Disease Monitoring
N2  - IntroductionAssessment of challenging behaviors in dementia is important for intervention selection. Here, we describe the technical and experimental setup and the feasibility of long-term multidimensional behavior assessment of people with dementia living in nursing homes.MethodsWe conducted 4 weeks of multimodal sensor assessment together with real-time observation of 17 residents with moderate to very severe dementia in two nursing care units. Nursing staff received extensive training on device handling and measurement procedures. Behavior of a subsample of eight participants was further recorded by videotaping during 4 weeks during day hours. Sensors were mounted on the participants' wrist and ankle and measured motion, rotation, as well as surrounding loudness level, light level, and air pressure.ResultsParticipants were in moderate to severe stages of dementia. Almost 100% of participants exhibited relevant levels of challenging behaviors. Automated quality control detected 155 potential issues. But only 11% of the recordings have been influenced by noncompliance of the participants. Qualitative debriefing of staff members suggested that implementation of the technology and observation platform in the routine procedures of the nursing home units was feasible and identified a range of user- and hardware-related implementation and handling challenges.DiscussionOur results indicate that high-quality behavior data from real-world environments can be made available for the development of intelligent assistive systems and that the problem of noncompliance seems to be manageable. Currently, we train machine-learning algorithms to detect episodes of challenging behaviors in the recorded sensor data.
Y1  - 2017
U6  - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:hbz:836-opus-173308
SN  - 2352-8729
VL  - 8
SP  - 36
EP  - 44
ER  -