scholarly journals Preregistration nursing students' experiences of a palliative care course in a resource-poor setting

2018 ◽  
Vol 24 (8) ◽  
pp. 388-397 ◽  
Author(s):  
Nahyeni Bassah ◽  
Karen Cox ◽  
Jane Seymour
Author(s):  
Hüsna Özveren ◽  
Kamile Kırca ◽  
Emel Gülnar ◽  
Nebahat Bora Güneş

Author(s):  
Yan Wang ◽  

Palliative care education for undergraduate nursing students varies in hours, methods, and contents worldwide. This study aimed to examine the nursing students' changes in palliative care knowledge, attitude, and coping with death after 18 hours of lecture-simulation-combined palliative care course. The study adopted a quasi-experiment method by one-group pre-posttest design. The palliative care course was composed of 2-hour of lecture, 10-hour of lecture-simulation-combined terminal symptoms learning, and 6-hour of simulation scenario practice. Students' knowledge was measured with Palliative Care Quiz for Nursing, students' attitude was measured with Frommelt Attitude towards Care of the Dying, and students' coping with death was measured with Coping with Death Scale before and after the palliative care course. There were 52 nursing undergraduate students participated in this study. The higher mean score of Palliative Care Quiz for Nursing, Frommelt Attitude towards Care of the Dying, and Coping with Death Scale gained after the course indicated students' improved knowledge, attitude, and coping (P<0.05). Results from multiple regression analysis showed that knowledge and attitude had statistically significant impacts on students' coping with death (P<0.05). The palliative care course combining lectures with simulation-based learning could improve nursing students' palliative care knowledge, attitude, and coping strategies. Nursing educators can improve nursing students' coping with death by enriching their knowledge and improving their attitude.


Diabetes ◽  
2018 ◽  
Vol 67 (Supplement 1) ◽  
pp. 2371-PUB
Author(s):  
KEVIN A. CABRERA ◽  
ARIF PENDI ◽  
NASSIM LASHKARI ◽  
ERIC EL-TOBGY ◽  
BEN B. LABROT

2020 ◽  
Author(s):  
Arunangsu Chatterjee ◽  
Sebastian Stevens ◽  
Sheena Asthana ◽  
Ray B Jones

BACKGROUND Digital health (DH) innovation ecosystems (IE) are key to the development of new e-health products and services. Within an IE, third parties can help promote innovation by acting as knowledge brokers and the conduits for developing inter-organisational and interpersonal relations, particularly for smaller organisations. Kolehmainen’s quadruple helix model suggests who the critical IE actors are, and their roles. Within an affluent and largely urban setting, such ecosystems evolve and thrive organically with minimal intervention due to favourable economic and geographical conditions. Facilitating and sustaining a thriving DH IE within a resource-poor setting can be far more challenging even though far more important for such peripheral economics and the health and well-being of those communities. OBJECTIVE Taking a rural and remote region in the UK, as an instance of an IE in a peripheral economy, we adapt the quadruple helix model of innovation, apply a monitored social networking approach using McKinsey’s Three Horizons of growth to explore: • What patterns of connectivity between stakeholders develop within an emerging digital health IE? • How do networks develop over time in the DH IE? • In what ways could such networks be nurtured in order to build the capacity, capability and sustainability of the DH IE? METHODS Using an exploratory single case study design for a developing digital health IE, this study adopts a longitudinal social network analysis approach, enabling the authors to observe the development of the innovation ecosystem over time and evaluate the impact of targeted networking interventions on connectivity between stakeholders. Data collection was by an online survey and by a novel method, connection cards. RESULTS Self-reported connections between IE organisations increased between the two waves of data collection, with Small and Medium-sized Enterprises (SMEs) and academic institutions the most connected stakeholder groups. Patients involvement improved over time but still remains rather peripheral to the DH IE network. Connection cards as a monitoring tool worked really well during large events but required significant administrative overheads. Monitored networking information categorised using McKinsey’s Three Horizons proved to be an effective way to organise networking interventions ensuring sustained engagement. CONCLUSIONS The study reinforces the difficulty of developing and sustaining a DH IE in a resource-poor setting. It demonstrates the effective monitored networking approach supported by Social Network Analysis allows to map the networks and provide valuable information to plan future networking interventions (e.g. involving patients or service users). McKinsey’s Three Horizons of growth-based categorisation of the networking assets help ensure continued engagement in the DH IE contributing towards its long-term sustainability. Collecting ongoing data using survey or connection card method will become more labour intensive and ubiquitous ethically driven data collection methods can be used in future to make the process more agile and responsive.


2005 ◽  
Vol 16 (1) ◽  
pp. 52-55 ◽  
Author(s):  
S F Posner ◽  
J Kerimova ◽  
F Aliyeva ◽  
A Duerr

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