| Id : | 2536 | |
Author : | Bungay H.; Hughes S.; Jacobs C.; Zhang J. | |
Title | Dance for Health: the impact of creative dance sessions on older people in an acute hospital setting |
|
| Reference : | Bungay H.; Hughes S.; Jacobs C.; Zhang J. Dance for Health: the impact of creative dance sessions on older people in an acute hospital setting,Arts and Health 14 1 |
|
| Link to article | https://www.scopus.com/inward/record.uri?eid=2-s2.0-85079449563&doi=10.1080%2f17533015.2020.1725072&partnerID=40&md5=4fc6c5c7caf835efa5064560b0b4d2aa |
|
| Abstract | Background: This service evaluation examined the impact of Dance for Health, a programme of weekly group dance sessions for older patients, which took place on wards in an acute hospital setting. Methods: Qualitative and quantitative observations using the ArtsObs scale were undertaken of 64 dance sessions over a 12-week period involving seven different hospital wards encompassing 313 patient attendances. Results: Statistically significant improvements were observed in the mood of the majority of patients taking part. People engaged mentally and physically with the activity were distracted from their medical condition and from what was happening on the ward. Patients appeared relaxed and were willing to express themselves creatively. Conclusion: The Dance for Health programme had a positive impact on group participants, promoting movement and physical activity for older patients. It is a meaningful and enjoyable activity, which encourages social interaction and provides respite from the medical environment. © 2020 The Author(s). Published by Informa UK Limited, trading as Taylor & Francis Group. |
Results:
| Impact |
Certainity |
| Health and Wellbeing | 0.9978 |
| Urban and Territorial Renovation | 0.0048 |
| Peoples Engagement and Participation | 0.0042 |
MESOC has received funding
from Horizon 2020 - the EU Framework Programme
for Research and Innovation (2014-2020) -
under Grant Agreement n°870935.
We take your privacy seriously and WE DO NOT process any personal data or any information that reveals personal identity or information that can be linked to such information to identify directly or indirectly.
2021 © CD