Abstract
Aim
To evaluate the impact of the COVID‐19 pandemic on the emotional and spiritual well‐being and resilience of a global sample of Advanced Practice Nurses.
Design
A web‐based cross‐sectional mixed methods study. Survey data were collected from Advanced Practice Nurses globally over a 2‐month period ending on 31 August 2020.
Methods
The Warwick‐Edinburgh Mental Well‐being Scale, FACIT‐12 Spiritual Well‐being Scale and Connor‐Davidson Resilience Scale 10 were used to quantify emotional and spiritual well‐being and resilience of Advanced Practice Nurses' globally. The survey was distributed internationally using snowball sampling via a secure platform (Qualtrics). Results were analysed using various bivariate tests for associations and group differences.
Results
Nine hundred and twenty‐eight Advanced Practice Nurses from 53 countries participated in the study. Study participants reported meaningfully lower scores in resilience and emotional well‐being compared with non‐pandemic scores. Participants from countries with well‐developed Advanced Practice Nurses roles reported lower resilience and well‐being scores compared with those from countries where Advanced Practice Nurses roles are still being developed. Each scale revealed significant positive associations with the other scales.
Conclusions
Emotional and spiritual well‐being and resilience of Advance Practice Nurses has been significantly impacted during the COVID‐19 pandemic. Regardless of their work location, work hours, credential or demographics, the APNs in our study reported lower levels of resilience and mental well‐being compared with typical scores on the instruments.
Keywords: Advanced Practice Nurse, COVID‐19, emotional well‐being, mixed methods, resilience, spiritual well‐being
1. IMPACT STATEMENT
Severe stress and psychological impacts of severe viral outbreaks have been documented in the nursing workforce, but Advanced Practice Nurses specifically and their resilience, emotional and spiritual well‐being during viral outbreaks have not yet been examined. This research will have an impact pertaining to the acknowledgement, education and prevention of serious mental health problems, burnout and post‐traumatic stress disorder for Advanced Practice Nurses worldwide.
2. SUMMARY STATEMENT
What is already known about the topic?
As front‐line providers nurses are disproportionately exposed to and infected with COVID‐19
Advanced Practice Nurses have faced increased practice‐related demands during the global COVID‐19 pandemic
The ability to cope well in stressful environments is related to resiliency and emotional and spiritual well‐being
What this paper adds
This study identifies how the COVID‐19 pandemic has affected Advanced Practice Nurses' emotional and spiritual well‐being and resilience globally.
1. INTRODUCTION
As of June 2021, over 178 million people across the world have tested positive for the novel coronavirus SARS‐CoV‐2, while over 3.8 million individuals have succumbed to COVID‐19, the disease it causes (Johns Hopkins University, 2021). Nurses constitute 59% of the global healthcare work force (World Health Organization, 2020) and, of note, almost half of all healthcare workers that have tested positive for SARS‐CoV‐2 (Gómez‐Ochoa et al., 2021). Advanced Practice Nurses (APN), the term most commonly used globally for Nurse Practitioners and Clinical Nurse Specialist are generalists or specialized nurses who have acquired the expert knowledge base, clinical competencies and complex decision‐making skills at an advanced level (International Council of Nurses, 2020). The APN characteristics are always shaped by the country context and may vary from country to country. APNs have been an integral component of global response to the COVID‐19 pandemic and have been called on to work at the full extent of their competencies during this health crisis (Rosa et al., 2020). APN's have a higher level of professional responsibility when compared with other classes of nurses due to their increased autonomy and accountability. Emerging evidence shows that healthcare personnel who carry a higher level of professional responsibility to patients have an increased likelihood of experiencing moral distress (Braquehais et al., 2020), yet few studies examine the well‐being of the advanced practice nursing workforce separately from the regular nursing or healthcare workforce (Kang et al., 2020; Khalid et al., 2016; Lung et al., 2009; Maunder et al., 2006).
2. BACKGROUND
Severe stress, immediate and long‐term psychological impacts of viral outbreaks on healthcare professionals and on nurses have been well‐documented during both the current COVID‐19 pandemic as well as past epidemics (Kang et al., 2020; Lancee et al., 2008; Maunder et al., 2006; McAlonan et al., 2007; Nickell et al., 2004; Serrano‐Ripoll et al., 2020). Although the full scale of the COVID‐19 pandemic impact on the health and well‐being of healthcare providers is yet unknown, the psychological impact of the COVID‐19 pandemic on front‐line workers has long surpassed that of the SARS and MERS epidemics due to its' unprecedented global spread and high death rate (Hall, 2020). The consequences of poor psychological health of healthcare workers are known to greatly increase absenteeism (Barello et al., 2020; Brborović et al., 2017; Dyrbye et al., 2019) and can lead to healthcare worker burnout and compassion fatigue (Kelker et al., 2021; Rees et al., 2015; Zhang et al., 2018). This in turn impacts the patient care and patient safety (Cheng et al., 2020; Garcia et al., 2019; Liu et al., 2018).
Nguyen et al. (2020) identified that front‐line health workers who have direct patient contact have an increased risk for positive COVID‐19 testing when compared with the general population. Of the healthcare personnel that have tested positive, nurses have significantly higher odds of mortality compared with other healthcare personnel (Jackson et al., 2020). The International Council of Nurses [ICN] (2021) have confirmed that 2710 nurses from 59 countries have died from COVID‐19 and estimates there to be more than 20,000 COVID‐19 healthcare worker fatalities worldwide.
Increased resilience has been hypothesized to act as a protective factor against the negative impacts of occupational stress especially in healthcare workers in outbreak environments (Lancee et al., 2008). Resilience is defined by Windle et al. (2011, p.2) as the ‘process of negotiating, managing and adapting to significant sources of stress or trauma’, or the ability to ‘bounce back’ from adverse events (Rees et al., 2015). Resilience is also largely understood to be a dynamic process where individuals use resources to cope with and learn from adversity (Grafton et al., 2010). Resilience in the healthcare workforce has been increasingly examined in healthcare‐related mental health research (Windle et al., 2011), as interventions have been shown to increase resilience (Connor & Davidson, 2003). A recent Cochrane Review called for more research about resilience in healthcare providers as the pandemic continues (Pollock et al., 2020).
There is an increasing body of literature that explores the contribution of spiritual well‐being to personal resilience (Grey, 2017). Rogers and Wattis (2020) define spirituality as what brings an individual hope, meaning and purpose. Spiritual well‐being is often confused with religiosity. Those who have a faith may well relate this to their sense of spirituality however spirituality is innately human and far wider than faith (Wattis et al., 2017). Miner‐Williams (2006) suggests that there may be aspects of spirituality that are universal and shared regardless of the presence or absence of a specific religious form of belief and expression. Spiritual well‐being relates to the way we live, relate and perceive the world around us and is often linked with positive attributes (Wattis et al., 2017). Research has found that healthcare workers who have higher levels of spiritual well‐being are more likely to integrate spiritual care into their own practice leading to positive patient outcomes (Markani et al., 2018). Further, Rajabipoor Meybodi and Mohammadi (2021) identified that healthcare workers who are more resilient are those who have higher levels of spiritual well‐being. Spiritual well‐being can increase tolerance of psychological and physical stress (Le et al., 2019).
3. THE STUDY
3.1. Aim
The aim of the study was to investigate the emotional and spiritual well‐being and resilience of Advanced Practice Nurses globally during the COVID‐19 pandemic.
3.2. Purpose
Understanding that the COVID‐19 pandemic has the potential to have such a wide‐reaching and long‐term impact on healthcare systems around the world, it is vital to examine resilience as well as measure the emotional and spiritual well‐being of the APN workforce. A baseline understanding of global levels of resilience and emotional and spiritual well‐being increases our understanding of the ability of the APN workforce to sustain their place as an integral part of the healthcare system during this global crisis. The purpose of this study is to examine the overall resilience, emotional and spiritual well‐being in the APN workforce and to describe associated factors.
3.3. Design
A secure cross‐sectional web‐based survey using Qualtrics software (Qualtrics, 2020) was designed using the Warwick‐Edinburgh Mental Well‐being Scale, the FACIT‐Spiritual Well‐Being Scale and the Connor‐Davidson Resilience Scale 10. The survey was open from 01 July to 31 August 2020.
3.4. Participants
Snowball sampling was used to distribute the survey through professional and personal networks of the research team to a global APN target audience including Clinical Nurse Specialists (CNS) and Nurse Practitioners (NP). A CNS is defined as an APN who provides expert clinical advice and care based on established diagnoses in specialized clinical fields of practice along with a system approach in practicing as a member of the healthcare team (International Council of Nurses, 2020). The NP is defined as an APN who integrates clinical skills associated with nursing and medicine to assess, diagnose and manage patients in primary healthcare (PHC) settings and acute care populations as well as ongoing care for populations with chronic illness (International Council of Nurses, 2020).
3.5. Data collection
Survey data were collected from Advanced Practice Nurses globally over a 2‐month period ending on 31 August 2020. A web‐based cross‐sectional survey was distributed internationally using snowball sampling via a secure platform (Qualtrics). Results were analysed using various bivariate tests for associations (e.g. Spearman rank correlations) and group differences (e.g. one‐way ANOVA). For all statistics used in this study, diagnostics were investigated to identify data conditions that may undermine interpretations and when concerns arose, adjustments using non‐parametric techniques were made to increase statistical validity.
3.6. Ethical considerations
Approval was obtained from the Ethics committees and Institutional Review Board of the principal investigator's university and at co‐researchers' respective institutions in Canada and the United States. Information about the study and contact information for additional information or concerns was provided to all study participants. Completion of electronic survey was voluntary. At the start of the survey information was given to participants and consent obtained. Data were protected under secure management at the principal investigator's institution. Any data shared was anonymized and accessed through secure password protected platforms. The STROBE research criterium was adhered to for this study.
3.7. Data analysis
To help address the purpose of the study, means and standard deviations were used to summarize continuous outcomes while counts and relative frequencies were used to summarize categorical variables. Medians and ranges are also reported due to the presence of non‐normality in some of the outcome variables. Spearman's rank correlation coefficients were used to evaluate the bivariate association between continuous variables. The Welch's t‐test was used to facilitate study of group differences, unless a predictor had three or more categorical levels, in which case, a one‐way ANOVA was implemented with post hoc testing done under Tukey's HSD test. For all statistics used in this study, diagnostics were investigated to identify data conditions that may undermine interpretations and when concerns arose, adjustments were made to increase statistical validity (e.g. use of the Kruskal–Wallis H test when non‐normality was present instead of the one‐way ANOVA). All inferential analyses were conducted under an alpha of .05. Missing data were low with less than 5% of the observations missing across the variables in this study.
3.8. Validity, reliability and rigour
The Warwick‐Edinburgh Mental Well‐being Scale (WEMWBS) measures subjective mental well‐being and psychological functioning of adults. The scale was unaltered and used with permission from the authors. WEMWBS scores are validated for use with adults over 16 years of age and consists of 14 positively worded questions asking responders to answer questions related to their thoughts and feelings over the past 2 weeks on a 5‐point Likert scale ranging from ‘none of the time’ to ‘all of the time’. Scoring ranges from 14 to 70, with higher scores being associated with more positive emotional well‐being (Taggart et al., 2015). The WEMWBS is used commonly in recent nursing research (Ahmad et al., 2015; Choi & Lee, 2020; Oates, 2018; Oates et al., 2017; Wood et al., 2020). Responses were scored according to the WEMWBS manual (Tennant et al., 2007). Cronbach's alpha on the WEMWBS scores was .920 in the present sample.
The Functional Assessment of Chronic Illness Therapy‐ 2‐Factor Non‐Illness Spiritual Well‐Being (FACIT‐Sp‐12) Version 4 was used to measure spiritual well‐being of APNs. The tool was used with permission from authors. The scale consists of eight questions concerning meaning and peace, and four questions concerning faith, and scored according to the Administration and Scoring Guidelines provided in the online manual at www.facit.org. The FACIT‐Sp is used in current nursing research (Bormann et al., 2017). Item 10, which speaks to the degree of strength respondents obtain from their spirituality, was excluded consistent with the scoring practices observed in the literature (e.g. Bredle et al., 2011), the 11 items were used to compute Meaning and Faith subscale scores by summing across the relevant items. Cronbach's alpha on the Meaning and Faith subscale scores were .879 and .82, respectively.
Resilience was measured using the 10‐point Connor‐Davidson Resilience Scale (CD‐RISC‐10) with permission from authors. The scale was unaltered as outlined in the instruction manual, with a higher score corresponding to greater resilience (measured from 0 to 100). CD‐RISC‐10 scores are verified for clinical practice use and are rated as one of the top resilience measures with strong internal consistency and construct validity (Windle et al., 2011). The high value of this tool is reflected in its' repeated use in recent relevant scholarly literature (Cai et al., 2020; Guo et al., 2018; Trip et al., 2018; Turner, 2015). Responses on the Connor‐Davidson Resilience scale were summed to compute composite resiliency scores in keeping with the expectations outlined in the manual (Davidson, 2020). Cronbach's alpha on the Resilience scores was .887 in the present sample.
4. RESULTS
Responses were received from APNs in 53 countries, however, low response rates in 49 countries did not allow for further statistical analyses of data from those countries individually. Where possible, grouping of data by region and level of APN development was used to further represent the findings globally.
Demographic information is displayed in Table 1. Participants in this study (N = 928) were distributed across 53 countries with the highest number of respondents coming from the United Kingdom (UK), United States of America (USA), Canada, Ireland, Netherlands and Australia. Participants were approximately 47.56 (SD = 10.81) years old and largely female (88.90%, n = 825). The majority of respondents indicated they had completed a master's degree (67.03%, n = 622) and were serving as a Nurse Practitioners (NP; 61.75%, n = 573). Participants also indicated they had been in their professional role for approximately 8 years, though the range of experience was diverse. More than half (55.93%; n = 517) indicated they work between 37 and 48 h per week.
TABLE 1.
Variables | M (SD) | Mdn (min, max) | % (n) |
---|---|---|---|
Age | 47.56 (10.81) | 48.00 (20.00, 81.00) | |
Years as APN | 10.51 (8.95) | 8.00 (<1.00, 48.00) | |
Gender | |||
Female | 88.90 (825) | ||
Male | 10.34 (96) | ||
WHO Region | |||
African | 3.34 (31) | ||
Americas | 48.28 (448) | ||
Eastern Mediterranean | 1.19 (11) | ||
Europe | 37.28 (346) | ||
Southeast Asia | 1.72 (16) | ||
Western Pacific | 4.63 (43) | ||
Education | |||
Bachelors | 11.75 (109) | ||
Masters | 67.03 (622) | ||
Doctoral | 14.98 (139) | ||
APN role | |||
NP | 61.75 (573) | ||
ACP | 13.36 (124) | ||
CNS | 12.61 (117) | ||
APN Student | 4.42 (41) | ||
Hours working per week | |||
Not currently working | 3.02 (28) | ||
1–12 | 3.39 (50) | ||
13–24 | 7.33 (68) | ||
25–36 | 20.04 (186) | ||
37–48 | 55.93 (519) | ||
>48 | 7.97 (74) |
Abbreviations: ACP, Advanced Clinical Practitioner; APN, Advanced Practice Nurse; CNS, Clinical Nurse Specialist; M, mean; Max, maximum; Mdn, median, Min, minimum; NP, Nurse Practitioner; SD, standard deviation.
4.1. Warwick and Edinburgh Well‐being Scores
Participants in the present study exhibited an average WEMWBS score of 48.59 (SD = 8.42) with values ranging between 20.00 and 70.00 (Mdn = 49.00).
4.2. Connor‐Davidson Resilience Scores
Resiliency appears to be meaningfully lower in our sample with a mean of 29.30 (SD = 5.936), t(898) = −12.620, p < .01, d = −.421.
4.3. Functional Assessment of Chronic Illness Therapy (FACIT)‐Spiritual Well‐being Scores
Participants exhibited an average Meaning and Faith subscale scores of 22.17 (SD = 5.96) and 6.28 (SD = 3.61), respectively. Meaning subscale scores ranged from 3.00 to 32.00 with a median of 23.00 while scores on the Faith subscale ranged from 0.00 to 12.00 with a median of 6.00.
All of the major study scales yielded significant, positive associations (see Table 2). A Spearman's correlation indicated a moderately small association (r sp = .371, t[890] = 11.87, p < .01) exists between the Faith and the Connor‐Davidson Resilience scale. Otherwise, significant, moderate to high bivariate correlations were observed across all other associations with coefficients ranging between .494 and .791.
TABLE 2.
1 | 2 | 3 | 4 | 5 | |
---|---|---|---|---|---|
1. WEMWBS | 1.000 | ||||
2. Connor‐Davidson | 0.607** | 1.000 | |||
3. Faith | 0.494** | 0.371* | 1.000 | ||
4. Meaning | 0.791** | 0.614* | 0.553** | 1.000 |
*p < .05; **p < .01.
Results from Kruskal–Wallis H tests indicated that area of work––primary versus acute versus CNS––was unrelated to the WEMWBS (χ2 = 1.606, df = 2, p = .448), Faith (χ2 = 4.232, df = 2, p = .121), Meaning (χ2 = 5.369, df = 2, p = .068) and Connor‐Davidson Resilience (χ2 = 2.619, df = 2, p = .270) scales and subscales. No additional post hoc testing was conducted given the non‐significant H tests.
Comparison of the major outcomes between participants in the countries with the highest response rates (USA, Canada and UK) revealed several significant trends. As displayed in Table 3, participants from the UK exhibited significantly lower levels of well‐being, resiliency, faith and meaning, compared with participants from the USA and Canada. In contrast, participants from Canada and the USA generally did not differ across the outcomes except for the faith measure. Participants in Canada tended to report significantly lower levels on our measure of Faith (M = 5.84, SD = 3.17) compared with participants from the USA (M = 7.21, SD = 3.58), who reported the highest levels on the Faith measure overall.
TABLE 3.
n | M (SD) | Mdn (range) | One‐way ANOVA and Tukey's HSD | ||
---|---|---|---|---|---|
1. WEMWBS | F(2, 713) = 21.12, p < .01, ω2 = .04 | ||||
United States | 264 | 3.49 (0.59) | 3.50 (1.93–5.00) | US vs. CA | q = 0.01, p = 1.00 |
Canada | 172 | 3.49 (0.54) | 3.50 (2.21–4.79) | US vs. UK | q = 8.19, p < .01 |
United Kingdom | 280 | 3.21 (0.57) | 3.21 (1.43–4.58) | UK vs. CA | q = 7.25, p < .01 |
2. Connor‐Davidson | F(2, 698) = 17.51, p < .01, ω2 = .04 | ||||
United States | 257 | 29.97 (5.21) | 30.00 (9.00–40.00) | US vs. CA | q = 0.15, p = 1.00 |
Canada | 166 | 29.91 (6.16) | 30.00 (0.00–40.00) | US vs. UK | q = 7.55, p < .01 |
United Kingdom | 278 | 27.33 (5.88) | 27.50 (7.00–40.00) | UK vs. CA | q = 6.54, p < .01 |
3. Faith | F(2, 693) = 54.43, p < .01, ω2 = .13 | ||||
United States | 254 | 7.21 (3.58) | 7.00 (0.00–12.00) | US vs. CA | q = 5.90, p < .01 |
Canada | 165 | 5.84 (3.17) | 5.00 (0.00–12.00) | US vs. UK | q = 14.65, p < .01 |
United Kingdom | 277 | 4.26 (3.00) | 4.00 (2.00–12.00) | UK vs. CA | q = 6.95, p < .01 |
4. Meaning | F(2, 694) = 21.14, p < .01, ω2 = .05 | ||||
United States | 253 | 22.74 (5.76) | 23.00 (5.00–32.00) | US vs. CA | q = 0.07, p = 1.00 |
Canada | 166 | 22.58 (5.44) | 23.00 (4.00–32.00) | US vs. UK | q = 8.35, p < .01 |
United Kingdom | 278 | 19.76 (6.06) | 20.00 (3.00–32.00) | UK vs. CA | q = 7.33, p < .01 |
As displayed in Table 4, participants who were identified as working in countries with developing APN roles (n = 77) exhibited higher mean levels of well‐being, resilience and spirituality than participants who were identified as serving in countries with developed APN roles (n = 782). All of the mean differences were statistically significant under the Welch's t‐test and may be different substantively as well, given the magnitude of the Cohen's d estimates across comparison appear to be nontrivial (see Table 4).
TABLE 4.
Variable | Developing APN role | Developed APN role | Welch's t | ||||
---|---|---|---|---|---|---|---|
M (SD) | Mdn (min, max) | M (SD) | Mdn (min, max) | t (df) | p | d | |
1. WEMWBS | 3.93 (0.57) | 3.93 (2.43, 5.00) | 3.42 (0.59) | 3.43 (1.43, 5.00) | 7.44 (92.81) | <0.01 | 0.89 |
2. Resilience | 30.92 (5.68) | 31.00 (0.00, 40.00) | 29.14 (5.85) | 29.00 (0.00, 40.00) | 2.55 (92.61) | 0.01 | 0.31 |
3. Meaning | 25.10 (4.78) | 26.00 (10.00, 32.00) | 21.85 (6.00) | 22.50 (3.00, 32.00) | 5.55 (101.11) | 0.01 | 0.60 |
4. Faith | 9.95 (2.52) | 11.00 (3.00, 12.00) | 5.82 (3.47) | 5.00 (0.00, 12.00) | 13.14 (106.46) | 0.01 | 0.30 |
Abbreviations: d, Cohen's d; M, mean; Max, maximum; Mdn, median; Min, minimum; SD, standard deviation.
5. DISCUSSION
This study sought to quantify the level of overall resilience, emotional and spiritual well‐being in an international APN workforce. Responses were received from APNs in 53 countries, however, low response rates in 49 countries did not allow for further statistical analyses of data from those countries individually. Where possible, grouping of data by region and level of APN development was used to further represent the findings globally.
Regardless of their work location, work hours, credential or demographics, the APNs in our study reported lower levels of resilience and mental well‐being compared with typical scores on the instruments. All three scales yielded significant, positive associations. This is in stark contrast to findings from a pre‐COVID study of well‐being in UK APNs which found the well‐being of APNs comparable to the general population (Wood et al., 2020). Perhaps it is not surprising that APNs in this study, irrespective of the demographics, reported meaningfully lower scores for resilience and mental well‐being than expected. The unprecedented global crisis caused by the COVID‐19 pandemic with over half the world in quarantine, triggered generalized weariness, uncertainty and mental distress across all healthcare professionals (El‐Hage et al., 2020). The disease characteristics of COVID‐19 such as the rapid spread, severe symptoms, death among healthcare professionals and lack of knowledge about the disease further contributed to mental distress (El‐Hage et al., 2020). Organizational factors such as staff shortages, scarcity of resources, including personal protective equipment (PPE), ventilators and shortage of beds, extended working hours and worries about not being able to provide competent care when redeployed, have also been reported to contribute to burnout and stress (El‐Hage et al., 2020; Hoernke et al., 2021; Wood et al., 2020). Furthermore, concern for personal health, infecting family members and friends, long periods of isolation, perceived lack of support, job insecurity and mandatory lockdowns have been identified as having a negative impact on psychological health and well‐being (El‐Hage et al., 2020; Giorgi et al., 2020). In addition, those with sufficient access to full personal protective equipment have been subjected to the physiologic and psychologic stressors related extended use of PPE. PPE‐related stressors of dyspnoea, physical and mental fatigue, changes in lung volumes and ventilation, heat stress, vision restrictions, decreased manual dexterity and impaired communication, may have negatively impacted performance and further contributed to work‐related stress (Davey et al., 2021; Ruskin et al., 2021).
The average WEMWBS score appears to be meaningfully lower in our samplecompared with typical scores on the scale. Likewise, resiliency
appears to be meaningfully lower in our sample compared with levels reported as typical for the scale (Davidson, 2018, p. 9). Resiliency and emotional and spiritual well‐being are vital for the workforce to endure. Of particular concern reduced emotional and spiritual well‐being and resilience is likely to have an impact on the high level of care required for patients and communities coping with COVID‐19. Interestingly, lower scores and decreased levels of well‐being and resiliency were seen in countries with a developed APN role, while APNs in countries that are developing the role exhibited higher levels of well‐being, resilience and spirituality. It may be theorized that those developing new roles need greater levels of self‐reliance and resiliency as they are engaged in pioneering endeavours. Researchers may wish to further examine the unanticipated observation of stronger resiliency of APNs in developing countries with negative economic impact (Bottan et al., 2020).There is a growing body of research related to enhancing healthcare provider resiliency (Giorgi et al., 2020; Hofmeyer & Taylor, 2021; Pollock et al., 2020; Rieckert et al., 2021). Nurse well‐being and resiliency have been evaluated, but primarily in high‐income countries with well‐established APN roles (Cooper et al., 2020; Kapu et al., 2021). Resiliency has, however, been explored from a health systems perspective in emerging and low resource settings (Bhandari & Alonge, 2020). Grafton et al. (2010) identify resilience as a resource. Nurses can learn to draw on this during stressful situations and use the situation as a learning resource to restore and strengthen their well‐being. Additionally, resilience can be developed through self‐care activities which nurture mind, body and spirit enhancing self‐awareness self‐efficacy, confidence, sense of purpose and meaning (Jackson et al., 2007). Kester and Wei (2018) recognizes that resilience can also be built by organizations recognizing the value of nurses and offering formal education programmes for example ‘Master Resilience Trainers’ to support nurses to identify their triggers to stress, practice self‐care and recognize signs of burnout.
Future research could evaluate in more detail the intersection of healthcare system and infrastructure as a factor in APN resiliency and well‐being. Research is also needed to explore ameliorating COVID‐19 associated stress in APNs through the enhancement of resiliency and spiritual well‐being.
5.1. Limitations
The study has several limitations. First, given that surveys were available in the English language, only participants with English language proficiency could be included. In addition, the study design makes it challenging to establish causal relationships from cross‐sectional analysis. Healthcare systems and regulation of Advanced Practice Nurses differ from country to country thus potentially limiting generalizability of our findings. Furthermore, potential difficulty in recalling past experiences, thoughts or feelings in the midst of the COVID‐19 crisis, may contribute to recall bias. Finally, some countries had very few participants limiting the ability to draw comparisons.
6. CONCLUSION
Like all healthcare workers, globally APNs have faced significant challenges during the COVID‐19 pandemic. Emotional and spiritual well‐being and resilience have been impacted significantly. If this is not addressed, it is likely to have an ongoing effect on the workforce and a deleterious impact on patient care. This study provides early data collected near the start of the pandemic. A follow‐up study using the same research strategy will be conducted in summer 2021 to capture the trends associated with the long duration of the COVID‐19 pandemic.
It is of paramount importance that support is provided to APNs to prevent burnout and/or mental health problems. Policy makers, employers and professional bodies need to be informed of these findings to implement interventions to support APNs. There is an urgent need for this to be actioned.
Conflict of Interest
No authors declare any perceived, potential or real conflicts of interest according to the section ‘Conflict of Interest’ in the Editorial Policies and Ethical Considerations section of the JAN author guidelines.
AUTHOR CONTRIBUTIONS
Study design: TEAM. Data collection: TEAM, Data analysis: TEAM. Study supervision: MR. Manuscript writing: TEAM. Critical revisions for important intellectual content: TEAM.
PEER REVIEW
The peer review history for this article is available at https://publons.com/publon/10.1111/jan.15161.
ACKNOWLEDGEMENTS
The team would like to thank Saint Louis' University PhD Student Chuleeporn Pusopa for her initial help inputting the survey scales into Qualitrics. The research team also wish to acknowledge the International Council of Nurses Nurse Practitioner/Advanced Practice Network which the researchers are all affiliated with for its invaluable support and guidance.
Rogers, M. , Lamarche, K. , Miller, M. , Moore, K. S. , Spies, L. A. , Taylor, J. & Staempfli, S. (2022). Global emotional and spiritual well‐being and resilience of Advanced Practice Nurses during the COVID‐19 pandemic: A cross‐sectional study. Journal of Advanced Nursing, 78, 1483–1492. 10.1111/jan.15161
Tweetable abstract: Advanced Practice Nurses' emotional and spiritual well‐being and resilience has been significantly impacted during the COVID‐19 pandemic.
Funding information
Funding was received from Athabasca University for research assistant and data analysis support.
Contributor Information
Melanie Rogers, Email: m.rogers@hud.ac.uk.
Kimberley Lamarche, Email: lamarche@athabascau.ca.
Minna Miller, Email: minnak1@aol.com.
DATA AVAILABILITY STATEMENT
The data that support the findings of this study are available from the corresponding author upon reasonable request.
REFERENCES
- Ahmad, W. , Taggart, F. , Shafique, M. S. , Muzafar, Y. , Abidi, S. , Ghani, N. , Malik, Z. , Zahid, T. , Waqas, A. , & Ghaffar, N. (2015). Diet, exercise and mental‐wellbeing of healthcare professionals (doctors, dentists and nurses) in Pakistan. PeerJ Life & Environment, 3, e1250. 10.7717/peerj.1250 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Bhandari, S. , & Alonge, O. (2020). Measuring the resilience of health systems in low and middle‐income countries: A focus on community resilience. Health Research Policy and Systems, 18(1), 81. 10.1186/s12961-020-00594-w [DOI] [PMC free article] [PubMed] [Google Scholar]
- Barello, S. , Falcó‐Pegueroles, A. , Rosa, D. , Tolotti, A. , Graffigna, G. , & Bonetti, L. (2020). The psychosocial impact of flu influenza pandemics on healthcare workers and lessons learnt for the COVID‐19 emergency: A rapid review. International Journal of Public Health, 65(7), 1205–1216. 10.1007/s00038-020-01463-7 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Bormann, J. E. , Walter, K. H. , Leary, S. , & Glaser, D. (2017). An internet‐delivered mantram repetition program for spiritual well‐being and mindfulness for health care workers. Spirituality in Clinical Practice, 4(1), 64–73. 10.1037/scp0000118 [DOI] [Google Scholar]
- Bottan, N. , Hoffmann, B. , & Vera‐Cossio, D. (2020). The unequal impact of the coronavirus pandemic: Evidence from seventeen developing countries. PLoS One, 15(10), e0239797. 10.1371/journal.pone.0239797 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Braquehais, M. D. , Vargas‐Cáceres, S. , Gómez‐Durán, E. , Nieva, G. , Valero, S. , Casas, M. , & Bruguera, E. (2020). The impact of the COVID‐19 pandemic on the mental health of healthcare professionals. QJM Monthly Journal of the Association of Physicians, 36, e00063520. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Bredle, J. M. , Salsman, J. M. , Debb, S. M. , Arnold, B. J. , & Cella, D. (2011). Spiritual well‐being as a component of health‐related quality of life: The functional assessment of chronic illness therapy—Spiritual well‐being scale (FACIT‐Sp). Religions, 2(1), 77–94. https://doi.org/ 10.3390/rel2010077 [DOI] [Google Scholar]
- Brborović, H. , Daka, Q. , Dakaj, K. , & Brborović, O. (2017). Antecedents and associations of sickness presenteeism and sickness absenteeism in nurses: A systematic review. International Journal of Nursing Practice, 23(6), 1–13. 10.1111/ijn.12598 [DOI] [PubMed] [Google Scholar]
- Cai, W. , Lian, B. , Song, X. , Hou, T. , Deng, G. , & Li, H. (2020). A cross‐sectional study on mental health among health care workers during the outbreak of Corona virus disease 2019. Asian Journal of Psychiatry, 51, 1–4. 10.1016/j.ajp.2020.102111 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Cheng, H. , Yang, H. , Ding, Y. , & Wang, B. (2020). Nurses' mental health and patient safety: An extension of the job demands–resources model. Journal of Nursing Management, 28(3), 653–663. 10.1111/jonm.12971 [DOI] [PubMed] [Google Scholar]
- Choi, S. , & Lee, H. (2020). Associations of mindful eating with dietary intake pattern, occupational stress, and mental well‐being among clinical nurses. Perspectives in Psychiatric Care, 56(2), 355–362. 10.1111/ppc.12441 [DOI] [PubMed] [Google Scholar]
- Cooper, A. L. , Brown, J. A. , Rees, C. S. , & Leslie, G. D. (2020). Nurse resilience: A concept analysis. International Journal of Mental Health Nursing, 29(4), 553–575. 10.1111/inm.12721 [DOI] [PubMed] [Google Scholar]
- Connor, K. , & Davidson, J. (2003). Development of a new resilience scale: The Connor Davidson resilience scale (CD‐RISC). Depression and Anxiety, 18, 71–82. [DOI] [PubMed] [Google Scholar]
- Davidson, J. (2018) Connor‐Davidson resilience scale (CDRISC) manual. unpublished. 08‐19‐2018, accessible at www.cdrisc.com.
- Davidson, J. (2020). Connor‐Davidson Resilience Scale (CD‐RISC) Manual. www.cd‐risc.com.
- Davey, S. L. , Lee, B. J. , Robbins, T. , Randeva, H. , & Thake, C. D. (2021). Heat stress and PPE during COVID‐19: Impact on healthcare workers' performance, safety and well‐being in NHS settings. The Journal of Hospital Infection, 108, 185–188. 10.1016/j.jhin.2020.11.027 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Dyrbye, L. N. , Shanafelt, T. D. , Johnson, P. O. , Johnson, L. A. , Satele, D. , & West, C. P. (2019). A cross‐sectional study exploring the relationship between burnout, absenteeism, and job performance among American nurses. BMC Nursing, 18, 57. 10.1186/s12912-019-0382-7 [DOI] [PMC free article] [PubMed] [Google Scholar]
- El‐Hage, W. , Hingray, C. , Lemogne, C. , Yrondi, A. , Brunault, P. , Bienvenu, T. , Etain, B. , Paquet, C. , Gohier, B. , Bennabi, D. , Birmes, P. , Sauvaget, A. , Fakra, E. , Prieto, N. , Bulteau, S. , Vidailhet, P. , Camus, V. , Leboyer, M. , Krebs, M. O. , & Aouizerate, B. (2020). Les professionnels de santé face à la pandémie de la maladie à coronavirus (COVID‐19): quelles risques pour leur santé mentale? [Health professionals facing the coronavirus disease 2019 (COVID‐19) pandemic: What are the mental health risks?]. L'Encephale, 46(3S), S73–S80. 10.1016/j.encep.2020.04.008 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Garcia, C. L. , Abreu, L. C. , Ramos, J. , Castro, C. , Smiderle, F. , Santos, J. , & Bezerra, I. (2019). Influence of burnout on patient safety: Systematic review and meta‐analysis. Medicina, 55(9), 553. 10.3390/medicina55090553 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Giorgi, G. , Lecca, L. I. , Alessio, F. , Finstad, G. L. , Bondanini, G. , Lulli, L. G. , Arcangeli, G. , & Mucci, N. (2020). COVID‐19‐related mental health effects in the workplace: A narrative review. International Journal of Environmental Research and Public Health, 17(21), 7857. 10.3390/ijerph17217857 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Gómez‐Ochoa, S. A. , Franco, O. H. , Rojas, L. Z. , Raguindin, P. F. , Roa‐Díaz, Z. M. , Wyssmann, B. M. , Guevara, S. , Echeverría, L. E. , Glisic, M. , & Muka, T. (2021). COVID 19 in health‐care workers: A living systematic review and meta‐analysis of prevalence, risk factors, clinical characteristics, and outcomes. American Journal of Epidemiology, 190(1), 161–175. 10.1093/aje/kwaa191 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Grafton, E. , Gillespie, B. , & Henderson, S. (2010). Resilience: The power within. Oncology Nurse Forum, 37(6), 698–705. 10.1188/10.ONF.698-705 [DOI] [PubMed] [Google Scholar]
- Grey, A. (2017). Resilience, spirituality, and health. Psyche & Geloof, 28(1), 32–40. [Google Scholar]
- Guo, Y. F. , Plummer, V. , Lam, L. , Wang, Y. , Cross, W. , & Zhang, J. (2018). The effects of resilience and turnover intention on nurses' burnout: Findings from a comparative cross‐sectional study. Journal of Clinical Nursing., 28(3‐4), 499–508. 10.1111/jocn.14637 [DOI] [PubMed] [Google Scholar]
- Hall, H. (2020). The effect of the COVID‐19 pandemic on healthcare workers' mental health. Journal of the American Academy of Physician Assistants , 33(7), 45–48. https://doi.org/ 10.1097/01.JAA.0000669772.78848.8c [DOI] [PubMed] [Google Scholar]
- Hoernke, K. , Djellouli, N. , Andrews, L. , Lewis‐Jackson, S. , Manby, L. , Martin, S. , Vanderslott, S. , & Vindrola‐Padros, C. (2021). Frontline healthcare workers' experiences with personal protective equipment during the COVID‐19 pandemic in the UK: A rapid qualitative appraisal. British Medical Journal Open, 11(1), e046199. 10.1136/bmjopen-2020046199 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Hofmeyer, A. , & Taylor, R. (2021). Strategies and resources for nurse leaders to use to lead with empathy and prudence so they understand and address sources of anxiety among nurses practising in the era of COVID‐19. Journal of Clinical Nursing, 30(1–2), 298–301. 10.1111/jocn.15520 [DOI] [PMC free article] [PubMed] [Google Scholar]
- International Council of Nurses . (2020). 2020 guidelines on advanced practice nursing. ICN. [Google Scholar]
- International Council of Nurses [ICN] . (2021). COVID‐19 infections and deaths among nurses and other healthcare workers ‐updated. ICN. [Google Scholar]
- Jackson, D. , Firtko, A. , & Edenborough, M. (2007). Personal resilience as a strategy for surviving and thriving in the face of workplace adversity: A literature review. Journal of Advanced Nursing, 60(1), 1–9. 10.1111/j.1365-2648.2007.04412.x [DOI] [PubMed] [Google Scholar]
- Jackson, D. , Anders, R. , Padula, W. V. , Daly, J. , & Davidson, P. M. (2020). Vulnerability of nurse and physicians with COVID‐19: Monitoring and surveillance needed. Journal of Clinical Nursing, 29(19–20), 3584–3587. 10.1111/jocn.15347 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Johns Hopkins University . (2021). COVID‐19 dashboard . Johns Hopkins University & Medicine coronavirus resource Centre. https://coronavirus.jhu.edu/map.html
- Kang, L. , Ma, S. , Chen, M. , Yang, J. , Wang, Y. , Li, R. , Yao, L. , Bai, H. , Cai, Z. , Xiang Yang, B. , Hu, S. , Zhang, K. , Wang, G. , Ma, C. , & Liu, Z. (2020). Impact on mental health and perceptions of psychological care among medical and nursing staff in Wuhan during the 2019 coronavirus disease outbreak: A cross‐sectional study. Brain, Behavior, and Immunity, S0889‐1591(20), 11–17. 10.1016/j.bbi.2020.03.028 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Kapu, A. N. , Borg Card, E. , Jackson, H. , Kleinpell, R. , Kendall, J. , Lupear, B. K. , LeBar, K. , Dietrich, M. S. , Araya, W. A. , Delle, J. , Payne, K. , Ford, J. , & Dubree, M. (2021). Assessing and addressing practitioner burnout: Results from an advanced practice registered nurse health and well‐being study. Journal of the American Association of Nurse Practitioners, 33(1), 38–48. 10.1097/JXX.0000000000000324 [DOI] [PubMed] [Google Scholar]
- Kelker, H. , Yoder, K. , Musey, P., Jr. , Harris, M. , Johnson, O. , Sarmiento, E. , Vyas, P. , Henderson, B. , Adams, Z. , & Welch, J. (2021). Prospective study of emergency medicine provider wellness across ten academic and community hospitals during the initial surge of the COVID‐19 pandemic. BMC Emergency Medicine, 21(1), 36. 10.1186/s12873-021-00425-3 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Kester, K. , & Wei, H. (2018). Building nurse resilience. Nursing Management, 49(6), 42–45. 10.1097/01.NUMA.0000533768.28005.36 [DOI] [PubMed] [Google Scholar]
- Khalid, I. , Khalid, T. J. , Qabajah, M. R. , Barnard, A. G. , & Qushmaq, I. A. (2016). Healthcare workers emotions, perceived stressors and coping strategies during a MERS‐CoV outbreak. Clinical Medicine & Research, 14(1), 7–14. 10.3121/cmr.2016.1303 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Lancee, W. J. , Maunder, R. G. , Goldbloom, D. S. , & co‐authors from the impact of SARS study . (2008). Prevalence of psychiatric disorders among Toronto hospital workers one to two years after the SARS outbreak. Psychiatric Services, 59(1), 91–95. 10.1176/ps.2008.59.1.9128 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Le, Y. , Piedmont, R. , & Wilkins, T. (2019). Spirituality, religiousness, personality as predictors of stress and resilience among middle‐aged Vietnamese‐ born American Catholics. Mental Health, Religion and Culture, 22(7), 754–768. 10.1080/1367476.201 [DOI] [Google Scholar]
- Liu, X. , Zheng, J. , Liu, K. , Baggs, J. G. , Liu, J. , Wu, Y. , & You, L. (2018). Hospital nursing organizational factors, nursing care left undone, and nurse burnout as predictors of patient safety: A structural equation modelling analysis. International Journal of Nursing Studies, 86, 82–89. 10.1016/j.ijnurstu.2018.05.005 [DOI] [PubMed] [Google Scholar]
- Lung, F. W. , Lu, Y. C. , Chang, Y. Y. , & Shu, B. C. (2009). Mental symptoms in different health professionals during the SARS attack: A follow‐up study. Psychiatry Quarterly, 80(2), 107–116. 10.1007/s11126-009-9095-5 [DOI] [PubMed] [Google Scholar]
- Markani, A. , Yaghmaei, F. , & Fard, M. (2018). Relationship between oncology nurses' spiritual wellbeing towards spiritual care providing based on Neuman system model: Evidences from Iran. Journal of Caring Sciences, 7(2), 113–118. 10.15171/jcs.2018.018 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Maunder, R. G. , Lancee, W. J. , Balderson, K. E. , Bennett, J. P. , Borgundvaag, B. , Evans, S. , Fernandes, C. M. , Goldbloom, D. S. , Gupta, M. , Hunter, J. J. , McGillis Hall, L. , Nagle, L. M. , Pain, C. , Peczeniuk, S. S. , Raymond, G. , Read, N. , Rourke, S. B. , Steinberg, R. J. , Stewart, T. E. , … Wasylenki, D. A. (2006). Long‐term psychological and occupational effects of providing hospital healthcare during SARS outbreak. Emerging Infectious Diseases, 12(12), 1924–1932. 10.3201/eid1212.060584 [DOI] [PMC free article] [PubMed] [Google Scholar]
- McAlonan, G. M. , Lee, A. M. , Cheung, V. , Cheung, C. , Tsang, K. W. , Sham, P. C. , Chua, S. E. , & Wong, J. G. (2007). Immediate and sustained psychological impact of an emerging infectious disease outbreak on health care workers. Canadian Journal of Psychiatry. Revue Canadienne de Psychiatrie, 52(4), 241–247. 10.1177/070674370705200406 [DOI] [PubMed] [Google Scholar]
- Miner‐Williams, D. (2006). Putting a puzzle together: Making spirituality meaningful for nursing using an evolving theoretical framework. Journal of Clinical Nursing, 15(7), 811–821. 10.1111/j.1365-2702.2006.01351.x [DOI] [PubMed] [Google Scholar]
- Nickell, L. , Crighton, E. , Tracy, S. , Al‐Enazy, H. , Bolaji, Y. , Hanjrah, S. , Hussain, A. , Makhlouf, S. , & Upshur, R. (2004). Psychological effects of SARS on hospital staff: Survey of a large tertiary care institution. Canadian Medical Association Journal, 170(5), 793–798. 10.1503/cmaj.1031077 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Nguyen, L. H. , Drew, D. A. , Graham, M. S. , Joshi, A. D. , Guo, C. G. , Ma, W. , Mehta, R. S. , Warner, E. T. , Sikavi, D. R. , Lo, C. H. , Kwon, S. , Song, M. , Mucci, L. A. , Stampfer, M. J. , Willett, W. C. , Eliassen, A. H. , Hart, J. E. , Chavarro, J. E. , Rich‐Edwards, J. W. , … Coronavirus Pandemic Epidemiology Consortium . (2020). Risk of COVID‐19 among front‐line health‐care workers and the general community: A prospective cohort study. The Lancet Public Health, 5(9), e475–e483. 10.1016/S2468-2667(20)30164-X [DOI] [PMC free article] [PubMed] [Google Scholar]
- Oates, J. , Jones, J. , & Drey, N. (2017). Subjective well‐being of mental health nurses in the United Kingdom: Results of an online survey. International Journal of Mental Health Nursing, 26(4), 391–401. 10.1111/inm.12263 [DOI] [PubMed] [Google Scholar]
- Oates, J. (2018). What keeps nurses happy? Implications for workforce well‐being strategies. Nursing Management ‐ UK, 25(1), 34–41. 10.7748/nm.2018.e1643 [DOI] [PubMed] [Google Scholar]
- Pollock, A. , Campbell, P. , Cheyne, J. , Cowie, J. , Davis, B. , McCallum, J. , McGill, K. , Elders, A. , Hagen, S. , McClurg, D. , Torrens, C. , & Maxwell, M. (2020). Interventions to support the resilience and mental health of frontline health and social care professionals during and after a disease outbreak, epidemic or pandemic: A mixed methods systematic review. Cochrane Database of Systematic Reviews, 11, CD013779. 10.1002/14651858.CD013779 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Qualtrics (Computer software) . (2020). Provo, Ut. https://www.qualtrics.com
- Rajabipoor Meybodi, A. , & Mohammadi, M. (2021). Identifying the components of spirituality affecting the resilience of nurses. Journal of Nursing Management, 29(5), 982–988. 10.1111/jonm.13235 [DOI] [PubMed] [Google Scholar]
- Rees, C. S. , Breen, L. J. , Cusack, L. , & Hegney, D. (2015). Understanding individual resilience in the workplace: The international collaboration of workforce resilience model. Frontiers in Psychology, 6, 73. 10.3389/fpsyg.2015.00073 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Rieckert, A. , Schuit, E. , Bleijenberg, N. , Ten Cate, D. , de Lange, W. , de Man‐van Ginkel, J. M. , Mathijssen, E. , Smit, L. C. , Stalpers, D. , Schoonhoven, L. , Veldhuizen, J. D. , & Trappenburg, J. C. (2021). How can we build and maintain the resilience of our health care professionals during COVID‐19? Recommendations based on a scoping review. British Medical Journal Open, 11(1), e043718. https://doi.org/ 10.1136/bmjopen-2020-043718 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Rogers, M. , & Wattis, J. (2020). Understanding the role of spirituality in providing person centred care. Nursing Standard, 35(9), 25–30. 10.7748/ns.2020.e11342 [DOI] [PubMed] [Google Scholar]
- Rosa, W. E. , Fitzgerald, M. , Davis, S. , Farley, J. E. , Khanyola, J. , Kwong, J. , Moreland, P. J. , Rogers, M. , Sibanda, B. , & Turale, S. (2020). Leveraging nurse practitioner capacities to achieve global health for all: COVID‐19 and beyond. International Nursing Review, 67(4), 554–559. 10.1111/inr.12632 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Ruskin, K. J. , Ruskin, A. C. , Musselman, B. T. , Harvey, J. R. , Nesthus, T. E. , & O'Connor, M. (2021). COVID‐19, personal protective equipment, and human performance. Anesthesiology, 134(4), 518–525. 10.1097/ALN.0000000000003684 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Serrano‐Ripoll, M. J. , Meneses‐Echavez, J. F. , Ricci‐Cabello, I. , Fraile‐Navarro, D. , Fiol‐deRoque, M. A. , Pastor‐Moreno, G. , Castro, A. , Ruiz‐Pérez, I. , Zamanillo Campos, R. , & Gonçalves‐Bradley, D. C. (2020). Impact of viral epidemic outbreaks on mental health of healthcare workers: A rapid systematic review and meta‐analysis. Journal of Affective Disorders, 277, 347–357. 10.1016/j.jad.2020.08.034 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Taggart, F. , Stewart‐Brown, S. , & Parkinson, J. (2015). Warwick‐Edinburgh Mental Well‐being Scale (WEMWBS) User Guide, Version 2. NHS Health Scotland. [Google Scholar]
- Tennant, R. , Hiller, L. , Fishwick, R. , Platt, S. , Joseph, S. , Weich, S. , Parkinson, J. , Secker, J. , & Stewart‐Brown, S. (2007). The Warwick‐ Edinburgh mental well being scale (WEBWBS). Health and Quality of Life Outcomes, 5(63), 1–12. 10.1186/1477-7525-5-63 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Trip, H. , Tabakakis, K. , Maskill, V. , Richardson, S. , Dolan, B. , Josland, H. , McKay, L. , Richardson, A. , Cowan, L. , Hickmott, B. , & Houston, G. (2018). Psychological health and resilience: The impact of significant earthquake events on tertiary level professional students: A cross‐sectional study. Contemporary Nurse, 54(3), 319–332. 10.1080/10376178.2018.1503549 [DOI] [PubMed] [Google Scholar]
- Turner, S. B. (2015). Resilience of nurses in the face of disaster. Disaster Medicine and Public Health Preparedness, 9(6), 601–604. 10.1017/dmp.2015.70 [DOI] [PubMed] [Google Scholar]
- Wattis, J. , Curran, S. , & Rogers, M. (2017). Spiritually competent practice in health care. CRC Press. [Google Scholar]
- Windle, G. , Bennett, K. M. , & Noyes, J. (2011). A methodological review of resilience measurement scales. Health and Quality of Life Outcomes, 9(8), 8–25. 10.1186/1477-7525-9-8 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Wood, E. , King, R. , Robertson, S. , Allmark, P. , Senek, M. , Tod, A. , & Ryan, T. (2020). Advanced practice nurses' experiences and well‐being: Baseline demographics from a cohort study. Journal of Nursing Management, 28(4), 959–967. 10.1111/jonm.13030 [DOI] [PubMed] [Google Scholar]
- World Health Organization . (2020). State of the world's nursing 2020: Investing in education, jobs and leadership. World Health Organization. [Google Scholar]
- Zhang, Y. Y. , Zhang, C. , Han, X. R. , Li, W. , & Wang, Y. L. (2018). Determinants of compassion satisfaction, compassion fatigue and burn out in nursing: A correlative meta‐analysis. Medicine , 97(26), e11086. https://doi.org/ 10.1097/MD.0000000000011086 [DOI] [PMC free article] [PubMed] [Google Scholar]
Associated Data
This section collects any data citations, data availability statements, or supplementary materials included in this article.
Data Availability Statement
The data that support the findings of this study are available from the corresponding author upon reasonable request.