Resilience and organisational empowerment among long-term care nurses: effects on patient care and absenteeism

Williams, John A.; Hadjistavropoulos, Thomas; Ghandehari, Omeed O.; Malloy, David Cruise; Hunter, Paulette V.; Martin, R. Bruce

doi:10.1111/jonm.12311

Cited by 29 publications

(21 citation statements)

References 33 publications

(71 reference statements)

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“…Research on resilience in nurses' has highlighted its protective role against nursing turnover (McAllister & McKinnon, 2009), post-traumatic stress disorder (Mealer, Jones, & Moss, 2012), emotional exhaustion (Manzano-Garcia & Ayala-Calvo, 2012) and burnout (Arrogante & Aparicio-Zaldivar, 2017). Resilience has also been linked to enhanced patient satisfaction (DeVoe, Fryer, Straub, McCann, & Fairbrother, ), perceived better quality of care and better attitudes towards patients (Williams et al, 2016).…”

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confidence: 99%

Resilience in nursing: The role of internal and external factors

2018

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Recent evidence shows that resilience can buffer the negative impact of workplace stressors on nurses and is linked to favourable patient outcomes. However, the comparative effectiveness of different contributing factors to nurses' resilience has not yet been examined. Our objective was to examine and compare the impact of individual characteristics, external factors and coping strategies on nurses' resilience. A descriptive cross-sectional study was conducted. Data were collected from 1,012 Greek nurses working in eight hospitals in northern Greece. Resilience, anxiety and depression, were measured using existing validated self- report instruments. In terms of coping strategies, this study used the "Mental Preparation Strategies Scale" to assess the mental preparation strategies employed by nurses before the beginning of their shift. Educational level, anxiety and the overall use of mental preparation strategies were the main predictors of nurse's resilience ([F = 52.781, p = 0.000, R = 0.139, Adjusted R = 0.137]). Resilient nurses were better educated {(b = 0.094. 95% confidence interval [CI] 0.038, 0.162)}, had lower anxiety ([b = -0.449, 95% CI -0.526, -0.372]) and used more often mental preparation strategies before the beginning of their shift ([b = 0.101, 95% CI 0.016, 0.061]). Findings provide information about which subgroups of nurses are more vulnerable in terms of resilience, i.e. less educated nurses, or nurses working in internal medicine wards.

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confidence: 99%

Resilience in nursing: The role of internal and external factors

2018

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“…Dispositional resilience is as hardiness, a protective factor against perceived stress, and a facilitating factor for happiness in nurses [ 31 ]. Nurses with resilience were more likely to report better quality of care and a higher personhood status [ 32 ]. A study in Palestinians asserted that professionals’ attitudes toward DNR were highly influenced by their religious and cultural background [ 20 ].…”

Section: Discussionmentioning

confidence: 99%

The Effect of Practice toward Do-Not-Resuscitate among Taiwanese Nursing Staff Using Path Modeling

Chang

Hung

et al. 2020

IJERPH

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This study aimed to elucidate the predictors and the effects of path modeling on the knowledge, attitude, and practice toward do-not-resuscitate (DNR) among the Taiwanese nursing staff. This study was a cross-sectional, descriptive design using stratified cluster sampling. We collected data on demographics, knowledge, attitude, and practice as measured by the DNR inventory (KAP-DNR), Mindful Attention Awareness Scale, General Self-Efficacy Scale, and Dispositional Resilience Scale. Participants were 194 nursing staff from a medical center in northern Taiwan in 2019. The results showed that participation in DNR signature and education related to palliative care were significant positive predictors of knowledge toward DNR. The DNR predictors toward attitude included DNR knowledge, mindfulness, self-efficacy, dispositional resilience, and religious belief of nurses. Generally, the critical predictors of DNR practice were DNR attitude, dispositional resilience, and male nurses. In path modeling, we identified that self-efficacy, dispositional resilience, master’s degree, and religious belief directly influenced practice constituting DNR. Based on the findings of this study, we propose that nurses should improve their self-efficacy and dispositional resilience through training programs. Encouraging staff to undertake further education and have religious beliefs can enhance the practice of DNR and provide better end-of-life care.

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“…Dispositional resilience is as hardiness, a protective factor against perceived stress and a facilitating factor for happiness in nurses [24]. Nurses with resilience were more likely to report a better quality of care and having a higher personhood status [25]. A study in Palestinians reported that professionals' attitudes toward DNR were highly in uenced by their religious and cultural background [26].…”

Section: Factors Affecting the Kap-dnr Among Nursesmentioning

confidence: 99%

The effect of practice toward do-not-resuscitate among Taiwanese nursing staff using path modeling

Chang

Hung

et al. 2020

Preprint

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Background: Do-Not-Resuscitate (DNR) is signed to prevent patients from receiving invalid treatment at the end of life or near death. Nurses play an important role to discuss the DNR with patients or the patients’ family members. However, research focusing on the relationship between the knowledge, attitude and practice of a DNR using path modeling in nursing staff is limited. Therefore, this study aimed to elucidate the effect of path modeling on the knowledge, attitude, and practice toward DNR among the Taiwanese nursing staff.Methods: This was a cross-sectional, descriptive design using a simple random sampling. Data on demographics, knowledge, attitude, and practice as measured by the DNR inventory (KAP-DNR), Mindful Attention Awareness Scale, General Self-Efficacy Scale, and Dispositional Resilience Scale was collected. Participants were 194 nursing staff from a medical center in northern Taiwan in 2019. We performed descriptive statistics, regression analysis, and path modeling using SPSS 22.0 and set p <0.05 as the statistical significance threshold. Results: The results showed that participation in DNR signature and education related to palliative care were positive significant predictors of knowledge towards DNR. The DNR predictors toward attitude included DNR knowledge, mindfulness, self-efficacy, dispositional resilience, and religious belief of nurses. Generally, the key predictors of DNR practice were DNR attitude, dispositional resilience, and male nurses. In path modeling, we identified that self-efficacy, dispositional resilience, master’s degree, and religious belief directly influenced practices constituting DNR. Conclusion: Based on the findings of this study, it is proposed that nurses should improve their self-efficacy and dispositional resilience. Encouraging staff to undertake further education and have religious beliefs can improve the practice of DNR and provide better end of life care.

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Resilience and organisational empowerment among long-term care nurses: effects on patient care and absenteeism

Abstract: Our findings suggest that interventions to improve LTC staff resilience would be important to pursue and that consideration should be given to resilience in optimizing the match between potential staff members and LTC positions.

Cited by 29 publications

References 33 publications

Resilience in nursing: The role of internal and external factors

Resilience in nursing: The role of internal and external factors

The Effect of Practice toward Do-Not-Resuscitate among Taiwanese Nursing Staff Using Path Modeling

The effect of practice toward do-not-resuscitate among Taiwanese nursing staff using path modeling

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