Can activities of daily living be represented by the energy consumption? Prof. D. Händler-Schuster (RN, MS nurse edu, MScN, PhD) 1 ; N. Zigan (MNS, RN) 1 ; P. Baumann (Beng) 2 ; Prof. A. Heizelmann (Dr-Ing.) 2 ; Prof. L. Imhof (PhD, RN) 1 1 ZHAW Zurich University of Applied Sciences, School of Health Professions, Institute of Nursing, Switzerland 2 ZHAW Zurich University of Applied Sciences, School of Engineering, Institute of Energy Systems and Fluid Engineering, Switzerland
Background Number of elderly people increasing; at the same time increase of life expectancy Number of people with chronic disease / co-morbidity increasing Elderly people wish to live as long as possible in familiar surroundings Increased risk of accidents for older people living at home Limited evidence on technologies for activity & emergency recognition that improve safety of older people Emergency systems in place; however, often not used by elderly people Händler-Schuster D, Naef R, Zigan N, Täschler A, Heinzelmann A, Baumann P, Imhof L. Den pflegerischen Unterstützungsbedarf durch Daten über den Energieverbrauch erkennen - ein Pilotstudie. [Recognizing the need for nursing support through Energy Data - A pilot project]. Pflegezeitschrift 2016; 69(4):1-5; doi: OP-978-3-00-500704-5 Naef R. A review of relevant health sciences research for the development of an Emergency Recognition through Energy Data (ERED) home monitoring system. Personal communication; 16.04.2015.
Objectives Activities of daily living can be identified through energy consumption Data generated from activity monitoring can detect healthrelated needs that necessitate nursing support Individualised movement patterns can be identified based on routine actions Händler-Schuster et al., (2016): Recognizing the need for nursing support through Energy Data - A pilot project. Pflegezeitschrift 2016; 69(4): 1-5.
ERED-Project an Overview timetable 2015-2018 participants N = 10, age 70+, live alone situation Activities of daily living reaction Datacollection energy cunsumption activities of daily living energy using devices water 4
Work-Package 1 (2015): State of the art in science and technology Milestone 1 (2015): Priorities are fixed Work-Package 2 (2016): Specify measurements (in progress) Milestone 2 (2017): Metrics and applications are defined Work-Package 3 (2017): Proof of concept study
Measurements Activity documentation by means of an electronic diary and handwritten notes over 15 days Measurement of energy consumption (electricity and water consumption) over 6 mths Data capture on Tablet with new activities-app 6
Exemplary results Correlation between food and drink preparation and small stove / kettle usage 22 activities of preparations detected by the energy consumption of devices 11 devices not detected 7
Achsentitel Exemplary results c td: Preparing food and fridge lamp on 21:36:00 19:12:00 16:48:00 14:24:00 12:00:00 09:36:00 Essen zubereiten Kühlschranklampe 07:12:00 04:48:00 02:24:00 00:00:00 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 Achsentitel
Discussion Findings suggest correlation between activities of daily living and energy consumption data; correlation may help to develop activity monitoring systems Benefit of activity monitoring systems: may be used to detect health-related needs -> development of nursing support System that identifies irregularities in activities of daily living might help elderly to live longer at home 9
Benefits of interprofess. work Understand / accept different professional role-identities Recognize expertise of different professions (appreciation) Develop responsibility for professional partnership Exchange information about experiences in interprofessional project settings, e.g. at congresses / symposia / during training 10
Thank you for your Attention Contact: ZUAS Zurich University of Applied Sciences School of Health Professions Institute of Nursing Prof. Daniela Händler-Schuster, RN, MS (nurse edu), MScN, PhD Senior Lecturer and Projectmanager Technikumstrasse 81, P.O. Box CH-8401 Winterthur T +41 58 934 65 34 F +41 58 935 65 34 daniela-haendler-schuster@zhaw.ch www.gesundheit.zhaw.ch 11
Perspectives Opportunities to expand this activity monitoring system to other diseases / conditions with an increased risk for an accident at home (e.g. M. Parkinson; stroke) Inclusion of other parameters (e.g. water consumption; use of heating) Expansion of activity monitoring system to whole apartment complex Health care providers could base new services on energy consumption data 12