Kristen Ranse1, Patsy Yates2, Fiona Coyer2. 1. Disciplines of Nursing & Midwifery, Faculty of Health, University of Canberra, Canberra, Australia. Electronic address: Kristen.Ranse@canberra.edu.au. 2. School of Nursing & Institute of Health and Biomedical Innovation, Queensland University of Technology, Brisbane, Australia.
Abstract
OBJECTIVE: To identify factors associated with critical care nurses' engagement in end-of-life care practices. METHODS: Multivariable regression modelling was undertaken on 392 responses to an online self-report survey of end-of-life care practices and factors influencing practice by Australian critical care nurses'. Univariate general linear models were built for six end-of-life care practice areas. RESULTS: Six statistically significant (p<0.001) models were developed: Information sharing F(3, 377)=40.53, adjusted R(2) 23.8%; Environmental modification F(5, 380)=19.55, adjusted R(2) 19.4%; Emotional support F(10, 366)=12.10, adjusted R(2) 22.8%; Patient and family centred decision making F(8, 362)=17.61 adjusted R(2) 26.4%; Symptom management F(8, 376)=7.10, adjusted R(2) 11.3%; and Spiritual support F(9, 367)=14.66, adjusted R(2) 24.6%. Stronger agreement with values consistent with a palliative approach, and greater support for patient and family preferences were associated with higher levels of engagement in end-of-life care practices. Higher levels of preparedness and access to opportunities for knowledge acquisition were associated with engagement in the interpersonal practices of patient and family centred decision making and emotional support. CONCLUSION: This study provides evidence for interventions to address factors associated with nurse engagement to increase participation in all end-of-life care practice areas.
OBJECTIVE: To identify factors associated with critical care nurses' engagement in end-of-life care practices. METHODS: Multivariable regression modelling was undertaken on 392 responses to an online self-report survey of end-of-life care practices and factors influencing practice by Australian critical care nurses'. Univariate general linear models were built for six end-of-life care practice areas. RESULTS: Six statistically significant (p<0.001) models were developed: Information sharing F(3, 377)=40.53, adjusted R(2) 23.8%; Environmental modification F(5, 380)=19.55, adjusted R(2) 19.4%; Emotional support F(10, 366)=12.10, adjusted R(2) 22.8%; Patient and family centred decision making F(8, 362)=17.61 adjusted R(2) 26.4%; Symptom management F(8, 376)=7.10, adjusted R(2) 11.3%; and Spiritual support F(9, 367)=14.66, adjusted R(2) 24.6%. Stronger agreement with values consistent with a palliative approach, and greater support for patient and family preferences were associated with higher levels of engagement in end-of-life care practices. Higher levels of preparedness and access to opportunities for knowledge acquisition were associated with engagement in the interpersonal practices of patient and family centred decision making and emotional support. CONCLUSION: This study provides evidence for interventions to address factors associated with nurse engagement to increase participation in all end-of-life care practice areas.