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Annals of General Psychiatry logoLink to Annals of General Psychiatry
. 2020 Mar 31;19:22. doi: 10.1186/s12991-020-00272-9

Oncology nurses’ compassion fatigue, burn out and compassion satisfaction

Reem Ahmad Jarrad 1,, Sawsan Hammad 2
PMCID: PMC7110622  PMID: 32265998

Abstract

Background

For oncology nurses, compassion fatigue, burn out and compassion satisfactions are frequently experienced psychosocial consequences of the oncology work environment. Surveying such phenomena helps to understand how nurses feel and behave when cancer care is provided. Besides, tracking the evolving nature of those three concepts can lend a hand for the early detection of personal and professional suffering of nurses while offering some healing remedies to their struggling bodies and souls.

Purpose

The purpose of this study was to explore the level of compassion fatigue, burn out and compassion satisfaction among a group of specialized oncology nurses. Besides, this study aimed to detect some probable interesting inferences between compassion satisfaction and the concept of rest and leisure. Correlations between compassion fatigue, burn out and compassion satisfaction were investigated. Correlations between oncology nurses’ scores on the three subscales and a group of demographic, organizational and leisure-related variables were examined.

Methods

This study adopted a descriptive correlation design to survey compassion fatigue, burn out and compassion satisfaction among a convenient sample of 100 oncology nurses who work in a specialized cancer care centre. Participants completed compassion fatigue self-test developed by Figely (Compassion fatigue, New York: Brunner/Mazel. B. HudnallStamm, Traumatic Stress Research Group; 1995–1998. http://www.dartmouth.edu/~bhstamm/index.htm, 1995) and a literature-based demographic survey. Analysis of data included descriptive statistics and Pearson correlation co-efficient.

Results

Nurses reported a low level of compassion satisfaction, moderate risk for burn out and an extremely high risk for compassion fatigue. Results revealed significant negative relationships among compassion satisfaction and the number of dependents per nurse. Additionally the correlation between compassion satisfaction and the nurses’ number of hours slept was positive. Only two components of the concept rest and leisure yielded statistical significance when correlated to the concept of compassion satisfaction. A significant negative relationship was observed between compassion satisfaction and compassion fatigue while a strong positive relationship was observed between compassion fatigue and burn out.

Conclusions

The studied oncology nurses sample had evidently low level of compassion satisfaction when contrasted to the significantly increased risks of burn out and compassion fatigue. Thus, health authorities and management are advised to care, in a holistic approach, for nurses who work in oncology departments. Staff-oriented services that offer comfort, reward, leisure, screening, consultation and support are urgently recommended.

Keywords: Oncology nurses, Compassion fatigue, Burnout, Compassion satisfaction, Leisure

Background

Oncology nurses are encountering a considerable magnitude of day-to-day workplace incapacitating stressors, demands and challenges. These challenges and stressors can be, at least partially attributed to the perception that some of the clients being managed for cancer have terminal illnesses and may die soon [1]. Therefore, oncology centres should put forth more effort to manage the psychosocial consequences of the work environment in an attempt to retain oncology nurses and progress their professional quality of life as well as their overall wellbeing [2].

Compassion fatigue (CF) is a work-related psychosocial consequence which may occur as a result of exposure to a cumulative level of trauma and is emotionally induced by dealing with those who have been traumatized [3]. Another work-related negative consequence is burnout (BO). BO can happen alone or in combination with CF and is a cumulative process marked by emotional exhaustion associated with workload-related stress [4]. A different, though related concept is compassion satisfaction (CS) which is the pleasant feeling derived from lending a hand to others through life’s traumatic situations [5].

Hooper et al. [6] found that oncology nurses were more vulnerable to CF than nurses working in emergency departments. Potter et al. [7] found that the risk of CF was relatively equal between inpatient and outpatient oncology nurses. Evidence suggests that fresh career oncology nurses endure communicating with clients and families, however long hospitalizations and high death rates can provoke CF. The classical picture of CF includes living with clients’ or family members’ emotional pain and fear, getting overwhelmed by a touching client death, and feeling consumed with the responsibility of caring for oncology clients who have endless continuum of physical and psychological needs [8].

BO is a syndrome of emotional exhaustion and reduced personal value [9]. Nurses moving through the torturing experience of BO show psychosomatic, emotional and behavioural cascades. Examples of such problems include, but not limited to weakness, insomnia, anxiety, depression, hostility, apathy, distrust, aggressiveness, irritability and isolation [10].

Elements of BO, particularly emotional exhaustion, were found to be related to the time spent working in the health care field [11]. First, it is noted that nurses with short field experience want to stand out quickly [12]. In reality this is unlikely; therefore new nurses become disappointed and emotionally burn out much faster than experienced nurses [13]. Second, having dependents to care for had a negative impact on oncology nurses experiencing emotional exhaustion as reported by Akyüz [14] and Kutluturkan et al. [13].

Compassion satisfaction (CS) is gaining sense of achievement with content from caring while resisting the negative emotional effects faced in highly complex work environments, such as cancer care agencies [15]. Despite the difficulties, professional oncology nurses can sustain a considerable magnitude of CS by establishing “meaningful memories” (experiences which can help them understand and stand life occurrences in a more courageous and wise way) [16]. Evidence indicates that it is probable for some care givers to maintain caring powers regardless of peaking work pressure and exposure to traumatic situations [17].

Walker and Avant [18] stated that CS-associated feelings include fulfilment, reward, achievement, happiness, enrichment, inspiration, energy, gratitude and hope. While Hinderer et al. [19] found the following elements to have statistically significant relationships with the degree of CS, which are: use of professional counselling, co-worker dynamics, time spent in direct client care, longer duration in current position, increased work hours per shift, older age, decreased level of education, hobbies, quality of social supports, exercise and medications’ usage.

There is insufficient local literature exploring BO, CF and CS among nurses specially those working in oncology care. Besides, attempting to connect the concept of rest and leisure to the positive concept of CS of an oncology caregiver is a very unique approach to explain the differences in scores. Providing such baselines will definitely encourage enthusiastic nursing and health managers, leaders and policy-makers to design future prevention and rescue plans which can help oncology nurses into obtaining higher standards of work environments and better professional quality of life with less work-related negative consequences.

Theoretical framework

Leisure is defined as the time when you are not working or doing other duties. While leisure activities are defined as the activities you may do while not working. For example; swimming, going to picnics to the forest or the mountains or the sea shore, listening to concerts, going to cinema, travelling abroad, sleeping, surfing the internet, etc. [20].

Recently, happiness studies are becoming more supportive for the idea that leisure enhances subjective wellbeing and its components such as satisfaction [21]. The related theoretical framework supposes that “leisure structural activity” encompasses time spent outside obligated work time; and the typical “leisure activities” include time spent during non-work, while the “subjective engagement of leisure” is subjectively defined as leisure participation and leisure frequency [22].

There is a strong theoretical intersection between the concept of CS and the concepts of happiness and wellbeing which are hypothetically enhanced by practising less work activities and more non-work ones [23]. One major assumption in this research work assumes that if oncology nurses practise less work activities, and more leisure activities; or at least if they have enough chances to practise rest and leisure activities, this will probably help them transcend into a higher wellbeing, happiness and CS states.

Study aims

This study was designed to explore the levels of CF, BO and CS among a group of specialized cancer care centre oncology nurses. The specific aims were to: (1) describe the level of CF, BO and CS among specialized group of oncology nurses; (2) determine if there were correlations between the oncology nurses’ scores on the three subscales describing their CF, BO and CS levels; (3) identify if there were correlations between oncology nurses’ scores on the three subscales based on some categorized clusters of demographic, organizational and leisure-related variables, namely: age, number of dependents, work hours, sleep hours, days off, eating behaviour as reflected by appetite strength, vacation activities (e.g. travelling during holidays), hobbies and transportation availability to work place.

Hypotheses

The first hypothesis assumed that oncology nurses have a low level of CS and high levels of CF and BO. Second hypothesis assumed a negative correlation between CS and CF and a positive correlation between CF and BO. The third hypothesis assumed that less rest and leisure activities (i.e. non-work activities) practised by oncology nurses (for example sleep, vacation, hobbies…) may be correlated with lower CS scores.

Methods

Design

This study adopted a descriptive correlation design to survey CF, BO and CS among a group of oncology nurses who work in a specialized cancer centre.

Measures

The participants filled a personal survey which asked questions regarding age, duration of experience, gender, unit, marital status, number of dependents and income. The other group of questions described the nurses’ rest and leisure status as represented by some selected variables. These variables were number of daily work and sleep hours, days off, vacation activities, appetite strength, practising regular hobbies and transportation availability (work commuting). The personal survey was based on literature and required 10 to 15 min to be completed along with a preceding consent form signing, illustrative hand out, a full explanation of the research purpose, methods, and participation rights like confidentiality, right to withdraw, anonymity and privacy.

Instrument

The CS, BO and CF scores were surveyed using a validated Arabic version of the 66-item CF instrument (Additional file 1: Appendix S1) [24]. This instrument has been used by many researchers with groups of nurses, and showed a strong alpha value (.87–.9) [25, 26].

Each one of the 66 items is evaluated by the care provider on a six-point Likert scale, graded from zero to five. The CF score is the sum of 23 items. The compassion satisfaction score is the sum of 26 items, while the BO is the sum of 16 items [24, 26]. Permissions to use the instrument (the Arabic translated and the original English version) were officially obtained as appropriate.

Sample and data collection

Convenience sampling was used to recruit 100 nurses from a specialized Cancer Care Centre. The participants were nurses from 8 different units (Table 1). The sampling process included a pilot of 10 nurses which was excluded from the analysis and used only to check comprehensiveness and easiness of the surveys (CF self-test and the personal data sheet). Very minimal language issues were raised and taken care of.

Table 1.

Distribution of nurses from different units (n = 100)

Unit Acute care units Bone marrow transplant ER Medical wards Surgical wards Palliative care VIP Paediatric ward
Nurses 12 19 8 19 27 8 3 4

Inclusion criteria included being a registered nurse working in the current unit or floor for more than 3 months at the time of data collection. Questionnaires, illustrative hand outs and consent forms were distributed during nurses’ free times by a well-trained and highly experienced research assistant who holds a master degree in psychiatric nursing. The distributed instrument was in Arabic language. The response rate was 50%, so 200 surveys were distributed, 100 surveys were collected in a 4-month duration. No incentives were given to nurses who took part in the study. The low response rates were explained by the research assistant stating that the nurses were not willing to spend that time in filling papers.

Setting

The setting from where the data was collected is considered one of the pioneering cancer centres in the Middle East. The centre is located in the capital city Amman, in Jordan. It was established as a national, nongovernmental, independent and non-profit health organization. It receives more than 3500 new cancer care cases and performs 100 bone marrow transplants every year. It has 18 acute care units and variable outpatient clinics which receive 140,000 visits yearly. Services extend from early detection, diagnosis, treatment to palliative care and pain management. Their staff includes 240 oncologists, 2500 technicians, managerial and care specialists and more than 600 nurses. The centre has received many prestigious awards and is working toward Magnet accreditation.

Statistical analysis and results

Sample

The sample consisted of 49 males and 51 females. Their mean age was 25.7 years (SD = 3.8). Majority of the participants (67) were not married and had income equal to 600 JD or less. They had a mean of 3.8 years of experience as nurses and 2.3 years of experience in the current unit/ward. Number of dependents financially supported by nurses ranged from 0 to 8 (Table 2).

Table 2.

Description of personal demographics, n = 100

Variable n (%) M (SD)
Gender
 Male 49 (49)
 Female 51 (51)
Age 25.7 (3.8)
Experience as a nurse 3.8 (2.3)
Experience in the current unit/ward 2.3 (1.9)
Marital status
 Married 33 (33)
 Not married 67 (67)
Income
 Less or equal 600 67 (67)
 More than 600 33 (33)

Rest and leisure

The nurses’ daily working hours versus daily sleeping hours had a mean of 11.3 (SD = 1.7), 6.5 (SD = 1.4), respectively. 46% of nurses had enough days off, good appetite (44%), spent outdoors times (36%) or had hobbies (15%). Transportation was considered easy by 55% of the participants (Table 3).

Table 3.

Description of rest and leisure, n = 100

Variable n (%) M (SD)
Rest and leisure
 Daily work hours 11.3 (1.7)
 Daily sleeping hours 6.5 (1.4)
Enough days off
 Yes 46 (46)
 No 54 (54)
Good appetite
 Yes 44 (44)
 No 56 (56)
Vacations
 Yes 36 (36)
 No 64 (64)
Hobbies
 Yes 15 (15)
 No 85 (85)
Availability of transportation to work
 Yes 55 (55)
 No 45 (45)

Table 4 demonstrates the level of CS, BO and CF among oncology nurses. The nurses reported a low level of CS with a mean of 71.8 (SD = 16.0), moderate risk for BO with a mean of 39.5 (SD = 11.0) and an extremely high risk for CF with a mean of 50.8 (SD = 16.9). These findings are in alignment with the first stated research hypothesis (Table 4).

Table 4.

Compassion satisfaction, burnout and compassion fatigue among nurses, n = 100

Variable M (SD) Minimum–maximum
Compassion satisfaction 71.8 (16.0) 29–115
Burnout 39.5 (11.0) 15–75
Compassion fatigue 50.8 (16.9) 17–102

Correlations among study variables

Table 5 demonstrates the Pearson correlation among the participant’s age, sleeping hours, work hours, dependents, days off, hobbies, appetite, vacation, transportation, CS, BO and CF. The results revealed statistically significant relationship among CS and both: number of dependents (r = − .230, P = .012) and number of nurses’ sleeping hours (r = .212, P = .036). A statistically significant negative relationship was observed between CS and CF (r = .294, P = .003) while a strong positive relationship was observed between CF and BO (r = .688, P < .001). There was no other significance discovered in the remaining study variables (Table 5).

Table 5.

Correlations among study variables

Variable CS
r (P)
CF
r (P)
BO
r (P)
Age .008 (.93) − .06 (.55) − .033 (.75)
Number of dependents − .230* (.021) .101 (.31) .061 (.54)
Work hours .101 (.3) .039 (.69) − .025 (.8)
Sleep hours .212* (.036) .120 (.24) − .025 (.8)
Days off .007 (.942) .172 (.087) .228* (.23)
Appetite − .186 (.064) .179* (.49) .009 (.92)
Vacations − .056 (.58) .43 (.67) .066 (.52)
Hobbies .156 (.121) − .92 (.36) .044 (.66)
Transportation .061 (.55) .110 (.28) .008 (.94)
BO − .244 (.014) .688*** (.000)
CF − .294** (.003)

CS compassion satisfaction, CF compassion fatigue, BO burn out

Significant result at: * P < .05, ** P < .01, *** P < .001

Discussion

Levels of CF, BO and CS

Oncology nurses in this study reported a low level of CS, moderate risk for BO and an extremely high risk for CF. Jones et al. [27] indicate that the oncology working environment is often stressful and overwhelmingly negative. Oncology nurses experience that kind of workplace negativity, along with a heavy load of job demands and countless number of inevitable effecters as dealing with the dying process and the surrounding grief, tears and suffering, and communicating, all the time as well as in the most critical times, with clients and families. Thus, oncology nurses are less likely to be compassionately satisfied as well as more likely to suffer from CF and BO [28].

Jang et al. [29] state that oncology nurses are more likely to suffer from job-related alcoholism, depression, drug abuse, suicide, CF and BO. Some of the predictable examples of factors that may play a role in manifesting such problems and more are: personnel shortages, frequent new comers who require monitoring and training, lack of managerial support, inter-personnel conflicts, exhausting accreditation processes, punishment systems, lack of job security and lack of visible personal achievement. Furthermore, there are high patient acuities, suffering and mortalities, hopelessness, lack of authority, family bullying, high sense of scrutiny, high work burdens in the shadows of absence of rewarding environment and lack of compensating and stress-ventilation rest and leisure activities [3032].

It is noteworthy that most of the study participants were young with less than 5 years of experience in nursing and oncology (this low experience time may be attributed to a possible organizational trend towards hiring fresh graduates, a relatively high turnover rate, and clinic staff were not surveyed). Despite this, the study participants showed signs of CF and BO and decreased CS. It is recommended to study the specific contributing factors to this phenomenon in order to facilitate future prevention and resolution of such alarming oncology care institutional problems.

Correlation between CF, CS and BO

Statistically significant negative relationships were observed between CS and CF which is consistent with the reports of Slocum-Gori et al. [33], Pelon [34] and Zhang et al. [35], while a strong positive relationship was observed between CF and BO and is consistent with what was found by Sung et al. [36], Slocum-Gori et al. [33], Pelon [34] and Zhang et al. [35]. Both results were consistent with the related initial hypotheses. Consequently, it is reasonable to conclude that, for the nurses who care for cancer clients, lower CS can bring higher CF. Higher CF can drag oncology nurses to the dangerous edges of BO [37].

Such serious correlations make it mandatory for authority figures and oncology nursing policy-makers to create more supportive and welcoming work conditions for those who care for oncology clients. They need to tailor staff-oriented interventions to act as protective mechanisms. For example, staff psychiatric and professional counselling on a regular basis, holistic self-care activities, positive coping skills training, physical exercise, meditation, self-reflection, rest, play therapy, mindfulness-based approaches and relaxation techniques such as yoga, Tai Chi and Reiki [38, 39].

Correlation among CS and rest and leisure

It was evident in this study that only two elements of the “concept of rest and leisure” had been correlated with the level of CS. These two elements are the number of nurses sleeping hours and number of dependents. These results partially matched our hypothesis which assumed that less rest and leisure activities practised by oncology nurses would be correlated with lower CS scores.

It should be mentioned here that the studies investigating CS-correlating factors are limited in nursing, so further focus from other researchers should be exerted in this area. Literature was relatively supportive for the positive correlation between CS and rest and leisure. For example, having dependents to care for (physically, psychologically and financially) had an impact on oncology nurses feeling emotional exhaustion as reported by Akyüz [14] and Kutluturkan [40]. Many nurses, go through a second exposure to stress in a “2nd daily shift” defined as caregiving at home with responsibility for sons, daughters, spouses and elderly family members, hence decreasing their overall CS level [41].

Sleep is a very crucial concept in this area. Simply, lack of sleep will yield a less compassionately satisfied nurse. The other facet of the same coin is long working hours, followed by long hours at home as the primary homemaker and caregiver. These two factors will definitely result in less sleeping hours [19]. As mentioned in this study, working hours were 11.3 (1.7) when compared to sleeping hours as low as 6.5 (1.4). The National Sleep Foundation [42] generally recommends 7–10 h of sleep per night for adults to maintain a functional health.

Nurses who work at night or in rotating shifts rarely have sufficient amounts of sleep. Sleep loss is cumulative, and after a while, the sleep debt may be significant enough to impair integration of information, cloud decision-making, and interrupt planning, plan implementation and vigilance [43]. Insufficient sleep has been associated with mood and cognition changes, lower quality job performance, declined motivation, safety risks and physiological complains [44, 45]. It is not surprising to know that none of the several studies reviewed, over the past 20 years, suggested any positive effect gained from sleep deprivation/insufficiency in healthy adults. To sum up, depression, irritability and less CS in nurses significantly peak when sleep is restricted [46].

Study limitations

It should be mentioned that there were some limitations in our study. For example, the sample size was relatively small; larger size replication studies are encouraged to better detect correlations and differences. Convenience sampling was adopted which could limit generalizability of the findings to the whole oncology nursing community in Jordan. The participating nurses were from many departments, so the subgroups were very small; this made it difficult to run subgroup comparisons to see if there were differences in CF, CS, BO scores between them.

Future studies are encouraged to run subgroup comparisons, increase sample size, adopt randomization, adopt multi-centre approach, or make regional or international comparisons, and study a wider range of organizational, personal and environmental oncology nursing variables. Such research strategy will surely enhance more in-depth insights. Combining qualitative sections are recommended as well to better understand the phenomena of CF, CS and BO in the area of oncology nursing.

Conclusions and recommendations

It could be concluded that oncology nurses in Jordan are under a great deal of stress, life and work burdens which leave them defenceless against the winds of CF and BO with less CS. This research paper had identified the presence of a serious problem, accordingly, immediate action plans must be set.

We can make a few suggestions here. For example, to partially improve CS, sleep enhancing practices should be promoted among nurses, such as less caffeine intake, night shifts to be scheduled in a reasonable pattern, cutting night shifts into shorter durations, offering nurses official sleeping naps during night shifts [44], establishment of a supportive climate within the unit, providing physical exercise services and a nice eating healthy facilities within the hospital setting [47]. Children and old age day and night care services can be offered for nurses in manageable fees, in an attempt to minimize family care burdens and increase nurses available rest time.

Implications for nursing management and policy-makers

Policy-makers in the area of oncology nursing are urgently invited to open a dialogue with nurses and nursing bodies, conduct institutional and national surveys and interviews to identify causative and contributive factors related to CF, CS and BO. This could serve as an attempt to find best practices to win better outcomes for nurses, clients and institutions.

A few suggestions in this regard may include: eliminating personnel shortages, assigning “free load staff” to train the new comers [48] and demonstrating evidence of managerial support when needed/expected. Examples of managerial support include: providing special consultation services to help solve inter-personnel conflicts, getting sufficient time and extra staff during accreditation processes, logically revising punishment systems in a way which puts the nurses psychological welfare as a priority, enhancing nurses’ job security through practical and legal procedures along with establishing visible personal achievement, reward and support systems [49]. Moreover, nurses work days could be reduced in number or in length to provide stress-ventilation windows [50]. Such measures may eliminate the risk of developing CF and BO and their well-known personal and organizational negative outcomes.

Supplementary information

12991_2020_272_MOESM1_ESM.docx (18.5KB, docx)

Additional file 1. Compassion satisfaction/fatigue self-test for helpers.

Acknowledgements

The authors offer their deepest appreciation and respect for the great facilitation and support that had been offered by the following parties: KHCC (King Hussein Cancer Centre) and The University of Jordan. Special thanks for Dr. Brenda Moore for her kind comments and reviews.

Authors’ contributions

The first author, *RJ, was responsible for running the whole research process until final editing and revising was completed. The second author, SH, was responsible for the statistical analysis, tables, and result parts. Both authors read and approved the final manuscript.

Funding

This research is funded by the Deanship of Scientific Research in The University of Jordan.

Availability of data and materials

The data sets are available in the primary investigator’s local desk. If any researcher is interested in secondary analysis of data he can email the corresponding author for this purpose.

Ethical approval and consent to participate

Study approval was obtained from the Deanship of Scientific research in the University and the research ethical committee in the school of nursing. Also, approval was granted from the Cancer Care Centre prior to data collection. The participants received a full explanation of the study purpose and procedure and then signed consent forms.

Consent for publication

The second author SA is consenting for publication of this paper in its current format.

Competing interests

The authors declare no conflict of interest of any kind.

Footnotes

Publisher's Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Contributor Information

Reem Ahmad Jarrad, Email: r.jarrad@ju.edu.jo.

Sawsan Hammad, Email: s.hammad@ju.edu.jo.

Supplementary information

Supplementary information accompanies this paper at 10.1186/s12991-020-00272-9.

References

  • 1.Gentry E, Shockney L. Compassion fatigue in oncology nurse navigation: identification and prevention. In: Shockney L, editor. Team-based oncology care: the pivotal role of oncology navigation. Cham: Springer; 2018. [Google Scholar]
  • 2.Piotrkowska R, Jarzynkowski P, Książek J, Mędrzycka-Dąbrowska W. Satisfaction with life of oncology nurses in Poland: abstract. J Int Nurs Rev Early View. 2019 doi: 10.1111/inr.12521. [DOI] [PubMed] [Google Scholar]
  • 3.Sorenson C, Bolick B, Wright K, Hamilton R. An evolutionary concept analysis of compassion fatigue. J Nurs Scholarsh. 2017;49(5):557–563. doi: 10.1111/jnu.12312. [DOI] [PubMed] [Google Scholar]
  • 4.The American Institute of Stress. Definition of compassion fatigue; 2017. https://www.stress.org/military/for-practitionersleaders/compassion-fatigue. Accessed 26 Feb 2020.
  • 5.O’Callaghan EL, Lam L, Cant R, Moss C. Compassion satisfaction and compassion fatigue in Australian emergency nurses: a descriptive cross-sectional study. Int Emerg Nurs. 2020;48:100785. doi: 10.1016/j.ienj.2019.06.008. [DOI] [PubMed] [Google Scholar]
  • 6.Hooper C, Craig J, Janvrin R, Wetsel A, Reimals E. Compassion satisfaction, burn out and compassion fatigue among emergency nurses compared with nurses in other selected inpatient specialities. J Emerg Nurs. 2010;36(5):420–427. doi: 10.1016/j.jen.2009.11.027. [DOI] [PubMed] [Google Scholar]
  • 7.Potter P, Deshields T, Divanbeigi J, Berger J, Cipriano D, Norris L, Olsen S. Compassion fatigue and burn out: prevalence among oncology nurses. Clin J Oncol Nurs. 2010;14(5):E56–E62. doi: 10.1188/10.CJON.E56-E62. [DOI] [PubMed] [Google Scholar]
  • 8.Finley A, Sheppard G. Compassion fatigue: exploring early-career oncology nurses’ experiences. Clin J Oncol Nurs. 2017;21(3):E61–E66. doi: 10.1188/17.CJON.E61-E66. [DOI] [PubMed] [Google Scholar]
  • 9.Circenis K, Millere I. Compassion fatigue, burnout and contributory factors among nurses in latvia. Procedia Soc Behav Sci. 2011;30:2042–2046. [Google Scholar]
  • 10.La Fuente G, Vargas C, San Luis C, GarcíaI G, Cañadas G. Risk factors and prevalence of burnout syndrome in the nursing profession. Int J Nurs Stud. 2015;52(1):240–249. doi: 10.1016/j.ijnurstu.2014.07.001. [DOI] [PubMed] [Google Scholar]
  • 11.Wu S, Singh-Carlson S, Odell A, Reynolds G, Su Y. Compassion fatigue, burnout, and compassion satisfaction among oncology nurses in the United States and Canada. Oncol Nurs Forum. 2016;43(4):E161–E169. doi: 10.1188/16.ONF.E161-E169. [DOI] [PubMed] [Google Scholar]
  • 12.Ebrahimi H, Hassankhani H, Negarandeh R, Gillespie M, Azizi A. Emotional support for new graduated nurses in clinical setting: a qualitative study. J Caring Sci. 2016;5(1):11–21. doi: 10.15171/jcs.2016.002. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 13.Kutluturkan S, Sozeri E, Uysal N, Pay F. Resilience and burnout status among nurses working in oncology. Ann Gen Psychiatry. 2016;15:33. doi: 10.1186/s12991-016-0121-3. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 14.Akyüz İ. Investigation of level of nurses’ burnout and depression in terms of working conditions and demographic characteristics. J Bus Econ Stud. 2015;3:21–34. [Google Scholar]
  • 15.Wentzel L, Brysiewicz P. A survey of compassion satisfaction, burnout and compassion fatigue in nurses practicing in three oncology departments in Durban, South. Int J Afr Nurs Sci. 2018;8:82–86. [Google Scholar]
  • 16.Gillespie M. Compassion fatigue and cancer nurses a national survey of cancer nurses in New Zealand. (Master’s thesis). Eastern Institute of Technology, Taradale, New Zealand; 2013.
  • 17.Delgado C, Ransed K, Furnessa T, Foster K. Nurses’ resilience and the emotional labour of nursing work: an integrative review of empirical literature. Int J Nurs Stud. 2017;70:71–88. doi: 10.1016/j.ijnurstu.2017.02.008. [DOI] [PubMed] [Google Scholar]
  • 18.Walker LO, Avant KC. Strategies for theory construction in nursing. 5. New York: Prentice-Hall; 2011. Concept analysis; pp. 157–179. [Google Scholar]
  • 19.Hinderer A, VonRueden T, Friedmann E, et al. Burnout, compassion fatigue, compassion satisfaction, and secondary traumatic stress in trauma nurses. J Trauma Nurs. 2014;21:160–169. doi: 10.1097/JTN.0000000000000055. [DOI] [PubMed] [Google Scholar]
  • 20.Definition of leisure and leisure activities. Cambridge Dictionary; 2019. https://dictionary.cambridge.org/dictionary/english/leisure. Accessed 26 Aug 2019.
  • 21.Shin S, Yeoun S, Yoo W, Shin S. Forest experience and psychological health benefits: the state of the art and future prospect in Korea. Environ Health Prev Med. 2010;15(1):38–47. doi: 10.1007/s12199-009-0114-9. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 22.Newman D, Tay L, Diener E. Leisure and subjective well-being: a model of psychological mechanisms as mediating factors. J Happiness Stud. 2014 [Google Scholar]
  • 23.Henderson K, Presely J, Bialeschki M. Theory in recreation and leisure research: reflections from the editors. Leisure Sci. 2010 [Google Scholar]
  • 24.Figely CR. Compassion fatigue, New York: Brunner/Mazel. B. HudnallStamm, Traumatic Stress Research Group; 1995–1998; 1995. http://www.dartmouth.edu/~bhstamm/index.htm. Accessed 23 Aug 2019.
  • 25.Stamm BH, Figely CR. Compassion satisfaction and fatigue test; 1996. http://www.isu.edu/~bhstamm/tests.htm. Accessed 23 Aug 2019.
  • 26.Jarrad RA, Hammad S, Shawashi T, Mahmoud N. Compassion fatigue and substance use among nurses. Ann Gen Psychiatry. 2018;17:13. doi: 10.1186/s12991-018-0183-5. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 27.Jones M, Wells M, Gao C, Cassidy B, Davie J. Work stress and well-being in oncology settings: a multidisciplinary study of health care professionals. J Psycho-oncol. 2013;22(1):46–53. doi: 10.1002/pon.2055. [DOI] [PubMed] [Google Scholar]
  • 28.Borteyrou X, Truchot D, Rascle N. Development and validation of the work stressor inventory for nurses in oncology: preliminary findings. J Adv Nurs. 2014;70(2):443–453. doi: 10.1111/jan.12231. [DOI] [PubMed] [Google Scholar]
  • 29.Jang I, Kim Y, Kim K. Professionalism and professional quality of life for oncology nurses. J Clin Nurs. 2016;25(19–20):2835–2845. doi: 10.1111/jocn.13330. [DOI] [PubMed] [Google Scholar]
  • 30.Melvin S. Historical review in understanding burnout, professional compassion fatigue, and secondary traumatic stress disorder from a hospice and palliative nursing perspective. J Hospice Palliat Nurs. 2015;17:66–72. [Google Scholar]
  • 31.Kwon J, Chu S, Kim A. The impact of nursing professionalism on the nursing performance, job satisfaction and retention intention among clinical nurses. J Korean Nurs Admin Acad Soc. 2009;15:182–192. [Google Scholar]
  • 32.Kim S, Kim H, Park Y, Seo Y, Yang J, Lee Y. Oncology Nurses’ professional quality of life in a tertiary hospital. J Korean Clin Nurs Res. 2010;16:145–155. [Google Scholar]
  • 33.Slocum-Gori S, Hemsworth D, Chan W, Carson A, Kazanjian A. Abstract: understanding compassion satisfaction, compassion fatigue and burnout: a survey of the hospice palliative care workforce. J Palliat Med. 2013;27(2):172–178. doi: 10.1177/0269216311431311. [DOI] [PubMed] [Google Scholar]
  • 34.Pelon S. Compassion fatigue and compassion satisfaction in hospice social work. J Soc Work End-of-Life Palliat Care. 2017;13(2–3):134–150. doi: 10.1080/15524256.2017.1314232. [DOI] [PubMed] [Google Scholar]
  • 35.Zhang Y, Zhang C, Han R, Li W, Wang L. Abstract: determinants of compassion satisfaction, compassion fatigue and burn out in nursing: a correlative meta-analysis. Medicine (Baltimore). 2018;97(26):e11086. doi: 10.1097/MD.0000000000011086. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 36.Sung K, Seo Y, Kim H. Relationships between compassion fatigue, burnout, and turnover intention in korean hospital nurses. J Korean Acad Nurs. 2012;42(7):1087–1094. doi: 10.4040/jkan.2012.42.7.1087. [DOI] [PubMed] [Google Scholar]
  • 37.Sacco L, Copel C. Compassion satisfaction: a concept analysis in nursing. Nurs Forum. 2018;53:76–83. doi: 10.1111/nuf.12213. [DOI] [PubMed] [Google Scholar]
  • 38.Whitebird R, Asche S, Thompson L, Rossom R, Heinrich R. Stress, burnout, compassion fatigue, and mental health in hospice workers in Minnesota. J Palliat Med. 2013;16(12):1534–1539. doi: 10.1089/jpm.2013.0202. [DOI] [PubMed] [Google Scholar]
  • 39.Sallon S, Katz-Eisner D, Yaffe H, Bdolah-Abram T. Caring for the caregivers: results of an extended, five-component stress-reduction intervention for hospital staff. Behav Med. 2017;43(1):47–60. doi: 10.1080/08964289.2015.1053426. [DOI] [PubMed] [Google Scholar]
  • 40.National Sleep Foundation. White paper: how much sleep do adults need? 2018. https://www.sleepfoundation.org/professionals/whitepapers-and-position-statements/white-paper-how-much-sleep-do-adults-need. Accessed 27 Mar 2020.
  • 41.Simon M, Kummerling A, Hasselhorn M. Next study group work: home conflict in the European nursing profession. Int J Occup Environ Health. 2004;10(4):384–391. doi: 10.1179/oeh.2004.10.4.384. [DOI] [PubMed] [Google Scholar]
  • 42.Kutluturkan S, Sozeri E, Uysal N, Pay F. Resilience and burnout status among nurses working in oncology. Ann Gen Psychiatry. 2016;15:33. doi: 10.1186/s12991-016-0121-3. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 43.Zion N, Shochat T. Cognitive functioning of female nurses during the night shift: the impact of age, clock time, time awake and subjective sleepiness. Chronobiol Int. 2018;35(11):1595–1607. doi: 10.1080/07420528.2018.1497642. [DOI] [PubMed] [Google Scholar]
  • 44.Rogers E. Chapter 40—The effects of fatigue and sleepiness on nurse performance and patient safety. In: Hughes RG, editor. Patient safety and quality: an evidence-based handbook for nurses. Agency for Healthcare Research and Quality (US): Rockville; 2008. [Google Scholar]
  • 45.Scott L, Rogers A, Hwang T, et al. The effects of critical care nurse work hours on vigilance and patient safety. J Crit Nurs. 2006;15(4):30–37. [PubMed] [Google Scholar]
  • 46.Rocha P, Martino F. Stress and sleep quality of nurses working different hospital shifts. Revista da Escola de Enfermagem da USP. 2010;44(2):280–286. doi: 10.1590/s0080-62342010000200006. [DOI] [PubMed] [Google Scholar]
  • 47.Sun Q, Ji X, Zhou W, Liu J. Sleep problems in shift nurses: a brief review and recommendations at both individual and institutional levels. J Nurs Manag. 2019;27:10–18. doi: 10.1111/jonm.12656. [DOI] [PubMed] [Google Scholar]
  • 48.Parka H, Yub S. Effective policies for eliminating nursing workforce shortages: a systematic review. J Health Policy Technol. 2019;8(3):296–303. [Google Scholar]
  • 49.Schmalenberg C, Kramer M. Nurse manager support: how do staff nurses define it? Crit Care Nurse. 2009;29(4):61–69. doi: 10.4037/ccn2009366. [DOI] [PubMed] [Google Scholar]
  • 50.Gyllensten K, Andersson G, Muller H. Experiences of reduced work hours for nurses and assistant nurses at a surgical department: a qualitative study. BMC Nurs. 2017;16:16. doi: 10.1186/s12912-017-0210-x. [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.

Supplementary Materials

12991_2020_272_MOESM1_ESM.docx (18.5KB, docx)

Additional file 1. Compassion satisfaction/fatigue self-test for helpers.

Data Availability Statement

The data sets are available in the primary investigator’s local desk. If any researcher is interested in secondary analysis of data he can email the corresponding author for this purpose.


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