Skip to main content

Burnout and resilience among Canadian palliative care physicians



Physicians experience high rates of burnout, which may negatively impact patient care. Palliative care is an emotionally demanding specialty with high burnout rates reported in previous studies from other countries. We aimed to estimate the prevalence of burnout and degree of resilience among Canadian palliative care physicians and examine their associations with demographic and workplace factors in a national survey.


Physician members of the Canadian Society of Palliative Care Physicians and Société Québécoise des Médecins de Soins Palliatifs were invited to participate in an electronic survey about their demographic and practice arrangements and complete the Maslach Burnout Inventory for Medical Professionals (MBI-HSS (MP)), and Connor-Davidson Resilience Scale (CD-RISC). The association of categorical demographic and practice variables was examined in relation to burnout status, as defined by MBI-HSS (MP) score. In addition to bivariable analyses, a multivariable logistic regression analysis, reporting odds ratios (OR), was conducted. Mean CD-RISC score differences were examined in multivariable linear regression analysis.


One hundred sixty five members (29%) completed the survey. On the MBI-HSS (MP), 36.4% of respondents reported high emotional exhaustion (EE), 15.1% reported high depersonalization (DP), and 7.9% reported low personal accomplishment (PA). Overall, 38.2% of respondents reported a high degree of burnout, based on having high EE or high DP. Median CD-RISC resilience score was 74, which falls in the 25th percentile of normative population. Age over 60 (OR = 0.05; CI, 0.01–0.38), compared to age ≤ 40, was independently associated with lower burnout. Mean CD-RISC resilience scores were lower in association with the presence of high burnout than when burnout was low (67.5 ± 11.8 vs 77.4 ± 11.2, respectively, p < 0.0001). Increased mean CD-RISC score differences (higher resilience) of 7.77 (95% CI, 1.97–13.57), 5.54 (CI, 0.81–10.28), and 8.26 (CI, 1.96–14.57) occurred in association with age > 60 as compared to ≤40, a predominantly palliative care focussed practice, and > 60 h worked per week as compared to ≤40 h worked, respectively.


One in three Canadian palliative care physicians demonstrate a high degree of burnout. Burnout prevention may benefit from increasing resilience skills on an individual level while also implementing systematic workplace interventions across organizational levels.

Peer Review reports


Burnout, the outcome of extensive job-related stress, is characterized by depletion of emotional resources (emotional exhaustion [EE]), feelings of cynicism (depersonalization [DP]), and a sense of diminished personal accomplishment and self-achievement (personal accomplishment [PA]) [1,2,3]. Burnout in health care professionals has been associated with poor mental and physical health [4,5,6,7], lower quality of patient care [8,9,10], more medical errors [11,12,13,14,15], and lower empathy [13, 14, 16,17,18]. Finally, burnout has significant impact on physician absenteeism and retention [19,20,21,22].

In a 2017 survey of US physicians, 43.9% reported burnout and the prevalence of burnout symptoms across specialties ranged from 29.6% (preventative medicine/occupational medicine) to 54.9% (emergency medicine) [23]. With respect to palliative care physicians in the United States, burnout prevalence rates have been reported as ranging from 33 to 38% [24, 25] in addition to a more recent clarification on an earlier reported study reflecting 38.7% [26, 27]. Similar work on burnout in palliative care physicians in other countries have been reported as 41.9% in Singapore [28] and 24% in Australia [29]. In a French study of palliative care physicians, the overall burnout rate was not measured but the rates of high emotional exhaustion and high depersonalization were considerably lower at 9 and 4% respectively [30]. To date, there is no published comparative data for Canadian palliative care physicians.

Resilience, a multidimensional construct that reflects the personal qualities that enable an individual to adapt and grow in the face of adversity [31], is a factor that can mitigate and potentially even protect people from burnout [32,33,34], Resilience building interventions have been shown to be helpful as part of a skill-building approach to stress reduction in palliative care clinicians [34, 35]. Studies examining physician burnout have elucidated some individual and work-related protective and risk factors for burnout. Protective factors include being older [23, 29], having worked more years [29, 36], and being married [23, 28]. Risk factors include being female [23, 28, 36, 37], increased hours worked per week [23, 28, 37, 38], and working in certain high acuity specialties such as emergency medicine [23]. Some palliative care specific protective factors include working exclusively in palliative care [29], being spiritual [28], and working with more colleagues [38]. There are mixed results regarding whether working in community or hospital-based palliative care is associated with higher risk of burnout [28,29,30].

Collectively, exploring Canadian palliative care physician experiences of burnout and resilience provides an important body of literature, as there are clear gaps remaining [32, 33, 35, 39]. In order to address this gap, we conducted a national cross-sectional survey to better understand the prevalence of burnout and degree of resilience experienced by Canadian palliative care physicians and to examine the relationship between burnout, resilience, demographic and job factors.


We conducted an electronic survey of demographics, burnout and resilience among palliative care physicians in Canada. Participation was voluntary and no remuneration was provided. The study was approved by the Bruyère Research Ethics Board and the Ottawa Health Sciences Network Research Ethics Board. Informed written consent was obtained from each participant. Survey planning and administration was reported as per the “Checklist for Reporting Results of Internet E-Surveys” (CHERRIES) [40].


Physicians and resident physicians who were active members of Canadian Society of Palliative Care Physicians (CSPCP) or Société Québécoise des Médecins de Soins Palliatifs (SQMDSP) as of March 18, 2019 were invited via email to participate. Members who were non-physicians, retired physicians, and physicians working in countries outside of Canada, and physicians and resident physicians from CSPCP who had not authorized research participation requests were excluded from the invitation email. Details of the survey’s sampling frame are presented in a supplementary figure (Additional file 1), which presents the derivation of the total of 569 physicians from the respective societies’ membership lists to whom invitation emails were sent: 479 members in the CSPCP and 90 members in the SQMDSP.

Survey procedures

Over the course of 5 weeks (between March 18th, 2019 and April 23rd, 2019), administrators of CSPCP and SQMDSP distributed an initial invitation email (followed by two reminders), with embedded and secure SurveyMonkey® electronic links to both English and French versions of the survey.

Survey measures

The survey, inclusive of questionnaires, consisted of 57 questions in total, and of these a set of 10 questions concerned participant demographics: clinical practice, clinical settings, training and remuneration arrangements. These demographic questions were developed by the research team in English and translated to French by a certified translator. The last question of the survey, ‘Thank you for your participation. Leave a comment if you wish”, provided participants with the option of inserting informal free text comment.

Burnout was measured using the Maslach Burnout Inventory-Human Services Survey for Medical Professionals [MBI-HSS (MP)], a validated 22-item questionnaire considered to be the gold standard tool for measuring professional burnout [3]. The questionnaire has 3 subscales to evaluate each domain of burnout, including emotional exhaustion (EE; 9 items), depersonalization (DP; 5 items), and personal accomplishment (PA; 8 items). Each item is rated using a seven-point Likert scale grading the extent each item is experienced by the respondent, ranging from never (0) to everyday (6). Additive scores from items under each subscale represent the total score for that subscale and are used in determining the level of risk for burnout. Based on normative data in medical professionals, EE was scored as high for total score ≥ 27; DP scored as high for total score ≥ 10; PA scored as low for a total score ≤ 33 [2]. High burnout was defined as having a high score on EE (≥27) and/or DP (≥10) subscale, in line with other studies measuring burnout in medical professionals [28, 29, 38, 41]. Resilience was measured using the 25-item Connor-Davidson Resilience Scale (CD-RISC) [31], a widely accepted measure of resilience [42]. Respondents rate their level of agreement with each scale item on a five-point Likert scale ranging from not true at all (0) to true nearly all the time (4). Possible scores range from 0 to 100, with higher total scores reflecting greater resilience. English and French-Canadian versions of the MBI-HSS (MP) and CD-RISC tools were used.

Statistical analysis

Descriptive statistics were used to describe and examine the relationship between demographics, practice characteristics, and burnout and resilience measurements of palliative care physicians. A t-test was performed to examine differences in mean CD-RISC scores between physicians with high or low burnout. A p-value less than 0.05 was considered statistically significant. Bivariable chi-square tests and multivariable logistic and linear regression models were used to evaluate the associations between demographic and practice variables and the presence of burnout and resilience levels. The outcome of the multivariable logistic regression analysis was reported in terms of odds ratios (OR) and their respective 95% confidence intervals (CI). Variables chosen for primary data collection and ultimately considered for inclusion in the multivariable regression models were primarily based on literature data and those hypothesized by the research team to have the greatest effect on burnout and resilience. This selection process was further guided by the results of the bivariable analyses and the need to avoid multicollinearity. All quantitative data were analyzed using SAS v.9.3.

All open text comments were carefully reviewed and then imported into NVivo 12, a qualitative data analysis software program [43]. Drawing on an inductive approach, wherein each participants’ comments were reviewed as a specific unit of text [44], two authors, one a qualitatively trained researcher, coded the open-text into initial codes, capturing the content, meaning and context of each participant response [45, 46]. after moving between and across initial codes and exploring patterns and responses across participants, a more situated, and nuanced thematic coding process was developed [44,45,46,47]. Moving between and across initial codes, and focusing on the overall study’s research question in exploring the relationship between burnout, resilience, demographic and job factors, we began to explore patterns across the initial codes, thereby developing thematic codes which offered further insights, understanding and context into the quantitative data collected. In dialogue with the larger research team, our open-text thematic analysis was then situated in conversation with the emerging conceptual understanding of how physicians across disciplines experience burnout, resilience and wellness [48,49,50,51,52].


Of the 569 physicians who were invited to participate, survey responses were received from 197 members (Fig. 1). Resident physicians only accounted for 7 responses and so were excluded from the study. Of the remaining 190 consenting respondents, 17 did not complete any survey questions, while 173 respondents completed ≥1 survey question. Of those, 165 completed both the Maslach Burnout Inventory-Human Services Survey for Medical Professionals MBI-HSS (MP) and the Connor-Davidson Resilience Scale (CD-RISC) assessments, providing a response rate of 29% (165/569). All analyses were completed on the 165 respondents who completed both assessments.

Fig. 1

Flowchart of survey participation. CSPCP: Canadian Society of Palliative Care Physicians; SQMDSP: Société Québécoise des Médecins de Soins Palliatif; MBI-HSS (MP): Maslach Burnout Inventory Human Services Survey for Medical Professionals; CD-RISC: Connor-Davidson Resilience Scale

Respondent characteristics

Demographic and job characteristics of respondents are shown in Table 1. Almost half (49%) of the respondents were aged > 50 years and over two thirds (70%) of respondents were female. A majority of respondents (53%) worked 41–60 h per week. Most respondents worked predominantly (> 50% of clinical time) in palliative care (79%), and in a variety of settings. Approximately half of the respondents (51%) spent ≥20% of work time on non-clinical activities. Most respondents trained in family medicine/ general practice (68%). Just under half of the respondents (47%) had confirmed additional formal training in palliative care. The most frequent remuneration arrangement was a clinical or mixed clinical-academic salaried position in 44% of respondents.

Table 1 Respondent characteristics


The Maslach Burnout Inventory-Human Services Survey for Medical Professionals MBI-HSS (MP) includes 3 subscales, emotional exhaustion (EE), depersonalization (DP), and personal accomplishment (PA).

Table 2 shows respondents who scored low, moderate or high on EE, DP and PA based on tertiles derived from normative data. Overall, 36.4% of respondents had high EE, 15.1% had high DP, and 7.9% had low PA. We found that 38.2% of respondents had one manifestation of high burnout based on having high EE and/or high DP.

Table 2 Maslach Burnout Inventory Human Services Survey for Medical Professionals [MBI-HSS (MP)] and Connor-Davidson Resilience Scale [CD-RISC] scores


The Connor-Davidson Resilience Scale (CD-RISC).

Table 2 shows CD-RISC scores stratified into quartiles. Median CD-RISC score of respondents was 74, which was marginally above the 25th percentile of a US normative population [53].

Associations between burnout, resilience, and demographic and job factors

Table 3 shows bivariable associations between demographic and job variables listed and manifestation of burnout. Older physicians (> 60 years of age) were at much lower risk for burnout as compared to younger physicians (p = 0.0003). Similarly, there was a trend toward decreased burnout in increased years worked (> 30 years) and increased length of time spent in palliative care (> 20 years) with no statistical significance. There was a trend toward decreased burnout with working ≤40 h per week. Burnout was not significantly different for those whose clinical practice was predominantly in palliative care, nor for those who spend ≥20% of work time on non-clinical activities. Prevalence of burnout was higher for those on salary as compared to fee for service (FFS)/combination of salary and FFS (p = 0.04). There was no gender difference in burnout rate.

Table 3 Burnout status compared in relation to demographic and workplace variables (row %)

Table 4 shows bivariable associations between demographic and job variables listed and mean CD-RISC score. Older physicians (> 60 years of age) reported significantly higher resilience than younger physicians (p = 0.03). There was no gender difference in reported resilience. While not statistically significant, there was a trend toward increased level of resilience with years in practice, increased hours worked per week and having a clinical practice predominantly focussed on palliative care.

Table 4 Comparison of Connor-Davidson Resilience Scale [CD-RISC] scores in association with demographic and workplace variables

The multivariable logistic regression analysis examined the level of independent association of demographic and workplace variables with burnout (Table 5). Of the included variables, only age > 60, (OR = 0.05; 95% CI, 0.01–0.38), compared to age ≤ 40, had an independent association with lower burnout. Multivariable linear regression was conducted to examine differences in mean CD-RISC resilience scores in association with the same demographic and workplace categorical variables (Table 6). Of the included variables, there were increased CD-RISC scores of 7.77 (95% CI, 1.97–13.57), 5.54 (CI, 0.81–10.28), and 8.26 (CI, 1.96–14.57) in association with age > 60, a predominantly palliative care clinical practice (> 50% of clinical time), > 60 h worked per week as compared to ≤40 h worked, respectively. In an alternate model that included years in practice instead of age, there was a trend [Mean CD-RISC score difference of 4.59 (CI, − 0.96-10.14)] toward an increase in resilience level with > 30 years in practice as compared to < 10 years (Additional file 2).

Table 5 Multivariable logistic regression, estimating the odds ratios (OR) for burnout in relation to demographic and workplace variables (n = 165)
Table 6 Multivariable linear regression, estimating mean Connor-Davidson Resilience Scale [CD-RISC] score differences in relation to demographic and workplace variables (n = 165)

There was a strong association between manifestation of burnout and resilience scores, with those meeting high burnout score criteria reporting significantly lower levels of resilience (Mean CD-RISC = 67.5, SD 11.8) compared to those who did not meet high burnout score criteria (Mean = 77.4, SD 11.2), p < 0.0001.

Twenty-five (15.15%) participants included additional comments at the end of the survey. Comments ranged from a few words, to a few sentences, to paragraphs and longer narratives. Comments were carefully reviewed and coded into initial codes and then thematic codes [44,45,46,47]. Thematic codes offered important insights on: the unique “double-edged sword” context of palliative care provision- meaningful, sustaining and impactful work with patients while also needing to advocate and fight for administrative, organizational, and political support to be able to provide optimal treatments, services and supports. A number of participants noted their exhaustion in having to continually push against myths and reluctance that other care givers/providers have about the value and importance of palliative care. Lastly, some participants shared their own personal and professional experiences with burnout, the support that was missing, and the lessons they had learned in building resilience and taking care of themselves. Comments about the concepts, instruments and application to palliative care were also carefully reviewed (Table 7).

Table 7 Thematic Coding of Open Text Comments (N = 25)


In addressing our overarching study question about the prevalence of burnout and degree of resilience in Canadian palliative care physicians, the 38.2% burnout rate in this pan-Canadian study is comparable with similar palliative care physician studies in the United States using similar MBI-HSS (MP) cut-offs [28], and greater than reported in other countries, notably Australia [29] and France. Important to highlight is the variability that continues to exist around prevalence rates, how burnout measurement cut-off points are utilized and how total scores and subscale results are reported, and lastly, how burnout is defined [25, 27]. Comparing MBI-HSS (MP) subscale results, a substantial proportion of respondents (36.4%) scored high on emotional exhaustion (EE), compared to much lower proportions who scored high on depersonalization (DP) (15.1%) or low on personal accomplishment (PA) (7.9%). In fact, most respondents (64.2%) scored low on depersonalization and high on personal accomplishment (72.1%), suggesting that most feel connected and engaged with their patients, and are fulfilled in their work, consistent with their professional career choice. However, many respondents feel emotionally exhausted, which may be due to high workloads and demands, and may also involve cumulative emotional burden and grief.

While palliative care physicians may have protective factors that are speciality specific, which speak to advanced training around communication, dying and death and grief [54, 55], our study findings highlight that further research is required to understand what factors heighten and compound experiences of emotional exhaustion and low levels of resilience. Further illuminated in our open-text review, specific participants commented on the meaningful and sustaining work of delivering palliative care while also directly acknowledging the personal costs, accumulated stressors in delivering care with limited time, resources and support, and the persistent conflicts in advocating for the legitimacy and importance of providing palliative care. These findings, echo the importance of examining individual (personal and coping strategies), interpersonal and organizational (systemic stressors) effects of burnout and protective factors that raised in other studies with hospice and palliative care clinicians [35, 50]. Further, as demonstrated in previous studies [41, 42], there was a strong association between burnout and resilience: respondents reporting lower levels of resilience had higher levels of burnout. While causality cannot be determined, this result suggests that resilience-building can be a valuable tool in burnout prevention, a component that is often included in resilience-building interventions with clinicians [56].

In this study, physicians age > 60 reported lower burnout levels and higher levels of resilience. This correlation is consistent with other studies examining physician burnout [29, 41, 57] and resilience [36]. The particularly low levels of burnout in those aged > 60 (3.4%), compared to other age groups in our study, under 40 (41.7%), 41–50 (48.6%), and 51–60 (47.1%), is suggestive of some form of survivorship occurring for those who are later in their career. Recognizing that older physicians experience lower levels of burnout and higher levels of resilience suggests that early to mid-career physicians may benefit from mentoring, coaching and peer-to-peer support programs with later-career palliative care physicians [58, 59]. Further study is required to fully understand this correlation as this may be reflective of accumulation of experience over time and development of a repertoire of resilience strengthening attitudes, coping strategies and behaviours to manage stressors. It may also be reflective of “survivor bias,” where those who have experienced significant burnout have left the field. Study trends which highlight factors and elements that require further study, such as the length of time in practice, number of hours worked, and focus of clinical practice, can help us to understand how these elements work together to mitigate or protect palliative care physicians from burnout. This understanding may offer important insights about not only what physicians are experiencing, but also how we can best support physicians as the move through their medical career. Although some studies have found a risk for women physicians to experience higher rates of burnout [28, 36] and lower levels or resilience [36], this was not seen in our study.

Burnout prevention will likely require increasing resilience skills on individual levels as well as interventions which modify workplace factors on an organizational level. Leiter and Maslach identified six areas of work environment relevant to how clinicians experience work demands: workload, control, reward, community, fairness, and values [60]. West et al. further identified that many of the drivers of the burnout epidemic are rooted within healthcare organizations and systems including excessive workloads, inefficient work processes, clerical burden, lack of input or control, suboptimal organizational support and leadership culture [61].

While recognizing that generic open-text comments in surveys need to be reviewed carefully, and acknowledging that there are limits around the depth and breadth of understanding that can be acquired through open-text comments [62, 63], these comments also provided important insights around how some palliative care physicians understand and make meaning of their experiences with burnout and resilience. Thematic coding offered the ability to further enhance our quantitative findings in beginning to explore how organizational, administrative, political and cross-disciplinary elements of palliative care provision may cause stress, exhaustion, distress and burnout. Further identified were personal and professional comments about present-day stress, fatigue, and burnout, in addition to past experiences of burnout and how some participants were building resilience into their lives. Many of these issues have been identified in other studies [50, 64, 65], and further research using mixed-methods approaches is needed to better understand what contributes and mitigates experiences of burnout and resilience and importantly, what system-wide changes and potential interventions are required, to best support physicians across specialities [56, 61, 66]. Most importantly, it is critical that research in this area is integrated into policy and practice, to ensure that palliative care physicians are supported to provide compassionate, competent, comprehensive care.


One limitation of this study is the response rate (29%). However, our response rate is higher than in comparison with other national surveys of burnout across all physician groups (17.1% in the United States [10] and 8.5% in Canada [36]). It is also possible that some palliative care physicians are non-members of either society and therefore would not have been invited to participate, introducing sampling bias. Furthermore, we did not have access to the demographics of either membership rosters for comparison with our study sample, further limiting the study’s generalizability. The cross-sectional study design precludes a determination of causality or direction of effect for the associations observed. We were also unable to capture variability in experienced burnout over time, including past experiences with burnout. Variations in MBI-HSS (MP) cut-off scores used to define burnout is another limitation in this area of research: our study results were only comparable to other studies with similar MBI-HSS (MP) cut-offs. A systematic review on the prevalence of burnout among physicians found that of studies using MBI-HSS (MP), there were at least 47 distinct definitions of burnout, highlighting the importance of developing a consensus definition of burnout [67]. We recognize the limitations that exist around how and in what way open text comments can be analysed, particularly when these were not framed a priori, specific questions were not asked directly, and open-text items in surveys have both explicit and implicit constraints in really understanding participants’ expereinces [62, 63]. Despite these cautions, participants who did provide open-text responses offered very important, rich and fulsome accounts of their perceptions and experiences, and we believe these reflection offer important insights which offer further support to our quantitative findings, while also offering direction for future research areas to explore.


In our study, it is concerning that more than one third of Canadian palliative care physicians reported high levels of burnout and many of these physicians feel emotionally exhausted and overextended. Higher scores on personal accomplishment, and lower scores on depersonalization highlight that palliative care physicians may experience a number of protective and resilience-building factors, but these factors need to be contextualized within broader care delivery stressors, related to control over workload, time, resources, and appreciation and respect for the profession of palliative care. Further research is required in understanding how palliative care physicians who have been practicing longer in the field have learned to not only build but sustain resilience over time, and importantly what learning can be shared with early and mid-career physicians to further support resilience-building factors at individual, interpersonal and organizational levels. Clearly highlighted is the importance of further study in learning about how palliative care physicians experience care delivery, the meaning and importance of this work in their lives overall, and how important it is that this learning is translated into policy and practice contexts.

Availability of data and materials

The data that support the findings of this study are available on reasonable request from the corresponding author [ES]. The data are not publicly available due to them containing information that could compromise research participant privacy/consent.



Maslach Burnout Inventory for Medical Professionals


Connor-Davidson Resilience Scale


Emotional Exhaustion




Personal Accomplishment


Canadian Society of Palliative Care Physicians


Société Québécoise des Médecins de Soins Palliafs


Checklist for Reporting Results of Internet E-Surveys


Odds Ratio


Confidence Interval


  1. 1.

    Maslach C, Jackson SE. The measurement of experienced burnout. J Organ Behav. 1981;2:99–113.

    Article  Google Scholar 

  2. 2.

    Maslach C, Jackson SE, Leiter MP. Maslach burnout inventory manual. 3rd ed. Palo Alto, CA: Consulting Psychologists Press; 1996.

  3. 3.

    Maslach C, Jackson SE, Leiter MP. Maslach burnout inventory manual. 4th ed. Menlo Park, CA: Mind Garden Inc; 2018.

  4. 4.

    Shirom A, Melamed S, Toker S, et al. Burnout, mental and physical health: a review of the evidence and a proposed explanatory model. Int Rev Ind Organ Psychol. 2005;20:269–309.

    Google Scholar 

  5. 5.

    Melamed S, Shirom A, Toker S, et al. Burnout and risk of cardiovascular disease: evidence, possible causal paths, and promising research directions. Psychol Bull. 2006;132:327–53.

    Article  PubMed  Google Scholar 

  6. 6.

    Schaufeli W. Past performance and future perspectives of burnout research. South African J Indust Psychol. 2003;29.

  7. 7.

    Pompili M, Innamorati M, Narciso V, et al. Burnout, hopelessness and suicide risk in medical doctors. Clin Ter. 2010;161:511–4 2010/12/25.

    CAS  PubMed  Google Scholar 

  8. 8.

    Argentero P, Dell'Olivo B, Ferretti MS. Staff burnout and patient satisfaction with the quality of dialysis care. Am J Kidney Dis. 2008;51:80–922007/12/25.

    Article  PubMed  Google Scholar 

  9. 9.

    Vogel L. CMA must address physician burnout, pharmacare, say doctors. CMAJ. 2017;189:E1171–e11722017/09/13.

    Article  PubMed  PubMed Central  Google Scholar 

  10. 10.

    Shanafelt TD, Bradley KA, Wipf JE, et al. Burnout and self-reported patient Care in an Internal Medicine Residency Program. Ann Intern Med. 2002;136:358–67.

    Article  PubMed  Google Scholar 

  11. 11.

    Prins JT, van der Heijden FM, Hoekstra-Weebers JE, et al. Burnout, engagement and resident physicians' self-reported errors. Psychol Health Med. 2009;14:654–662010/02/26.

    CAS  Article  PubMed  Google Scholar 

  12. 12.

    Shanafelt TD, Balch CM, Bechamps G, et al. Burnout and medical errors among American surgeons. Ann Surg. 2010;251:995–10002009/11/26.

    Article  PubMed  Google Scholar 

  13. 13.

    West CP, Huschka MM, Novotny PJ, et al. Association of perceived medical errors with resident distress and empathy: a prospective longitudinal study. JAMA. 2006;296:1071–82006/09/07.

    CAS  Article  PubMed  Google Scholar 

  14. 14.

    Williams ES, Manwell LB, Konrad TR, et al. The relationship of organizational culture, stress, satisfaction, and burnout with physician-reported error and suboptimal patient care: results from the MEMO study. Health Care Manage Rev. 2007;32:203–122007/08/02.

    Article  PubMed  Google Scholar 

  15. 15.

    Fahrenkopf AM, Sectish TC, Barger LK, et al. Rates of medication errors among depressed and burnt out residents: prospective cohort study. BMJ. 2008;336:488–912008/02/09.

    Article  PubMed  PubMed Central  Google Scholar 

  16. 16.

    Tei S, Becker C, Kawada R, et al. Can we predict burnout severity from empathy-related brain activity? Transl Psychiatry. 2014;4:e3932014/06/04.

    CAS  Article  PubMed  PubMed Central  Google Scholar 

  17. 17.

    Wilkinson H, Whittington R, Perry L, et al. Examining the relationship between burnout and empathy in healthcare professionals: a systematic review. Burn Res. 2017;6:18–292017/09/05.

    Article  PubMed  PubMed Central  Google Scholar 

  18. 18.

    Mercer SW, Reynolds WJ. Empathy and quality of care. Br J Gen Pract. 2002;52 Suppl:S9–12 2002/10/23.

    PubMed  Google Scholar 

  19. 19.

    Soler JK, Yaman H, Esteva M, et al. Burnout in European family doctors: the EGPRN study. Fam Pract. 2008;25:245–652008/07/16.

    Article  PubMed  Google Scholar 

  20. 20.

    Siu C, Yuen SK, Cheung A. Burnout among public doctors in Hong Kong: cross-sectional survey. Hong Kong Med J. 2012;18:186–92 2012/06/06.

    PubMed  Google Scholar 

  21. 21.

    Zhang Y, Feng X. The relationship between job satisfaction, burnout, and turnover intention among physicians from urban state-owned medical institutions in Hubei, China: a cross-sectional study. BMC Health Serv Res. 2011;11:2352011/09/29.

    CAS  Article  PubMed  PubMed Central  Google Scholar 

  22. 22.

    Hoff T, Whitcomb WF, Nelson JR. Thriving and surviving in a new medical career: the case of hospitalist physicians. J Health Soc Behav. 2002;43:72–91 2002/04/16.

    PubMed  Google Scholar 

  23. 23.

    Shanafelt TD, West CP, Sinsky C, et al. Changes in burnout and satisfaction with work-life integration in physicians and the general US working population between 2011 and 2017. Mayo Clin Proc. 2019;94:1681–94.

    Article  PubMed  Google Scholar 

  24. 24.

    Yoon JD, Hunt NB, Ravella KC, et al. Physician burnout and the calling to Care for the Dying: a National Survey. Am J Hosp Palliat Med. 2017;34:931–7.

    Article  Google Scholar 

  25. 25.

    Reddy SK, Yennu S, Tanco K, et al. Frequency of burnout among palliative care physicians participating in a continuing medical education course. J Pain Symptom Manage, DOI. 20202020/02/28.

  26. 26.

    Kamal AH, Bull JH, Wolf SP, et al. RETRACTED: prevalence and predictors of burnout among hospice and palliative care clinicians in the U.S. J Pain Symptom Manage. 2016;51:690–6.

    Article  PubMed  Google Scholar 

  27. 27.

    Kamal A, Bull JH, Wolf SP, et al. Letter to the editor regarding “prevalence and predictors of burnout among hospice and palliative care professionals”. J Pain Symptom Manage. 2020;59:e3–5.

    Article  PubMed  Google Scholar 

  28. 28.

    Koh MY, Chong PH, Neo PS, et al. Burnout, psychological morbidity and use of coping mechanisms among palliative care practitioners: a multi-Centre cross-sectional study. Palliat Med. 2015;29:633–422015/04/02.

    Article  PubMed  Google Scholar 

  29. 29.

    Dunwoodie DA, Auret K. Psychological morbidity and burnout in palliative care doctors in Western Australia. Intern Med J. 2007;37:693–82007/05/23.

    CAS  Article  PubMed  Google Scholar 

  30. 30.

    Dreano-Hartz S, Rhondali W, Ledoux M, et al. Burnout among physicians in palliative care: impact of clinical settings. Palliat Support Care. 2016;14:402–102015/10/16.

    Article  PubMed  Google Scholar 

  31. 31.

    Connor KM, Davidson JR. Development of a new resilience scale: the Connor-Davidson resilience scale (CD-RISC). Depress Anxiety. 2003;18:76–822003/09/10.

    Article  PubMed  Google Scholar 

  32. 32.

    Dyrbye LN, Power DV, Massie FS, et al. Factors associated with resilience to and recovery from burnout: a prospective, multi-institutional study of US medical students. Med Educ. 2010;44:1016–262010/10/01.

    Article  PubMed  Google Scholar 

  33. 33.

    Back AL, Steinhauser KE, Kamal AH, et al. Building resilience for palliative care clinicians: an approach to burnout prevention based on individual skills and workplace factors. J Pain Symptom Manage. 2016;52:284–912016/02/28.

    Article  PubMed  Google Scholar 

  34. 34.

    Sood A, Prasad K, Schroeder D, et al. Stress management and resilience training among Department of Medicine faculty: a pilot randomized clinical trial. J Gen Intern Med. 2011;26:858–612011/02/01.

    Article  PubMed  PubMed Central  Google Scholar 

  35. 35.

    Perez GK, Haime V, Jackson V, et al. Promoting resiliency among palliative care clinicians: stressors, coping strategies, and training needs. J Palliat Med. 2015;18:332–72015/02/26.

    Article  PubMed  PubMed Central  Google Scholar 

  36. 36.

    Canadian Medical Association. CMA National Physician Health Survey. A National Snapshot; 2018.

    Google Scholar 

  37. 37.

    Kawamura Y, Takayashiki A, Ito M, et al. Stress factors associated with burnout among attending physicians: a cross-sectional study. J Clin Med Res. 2018;10:226–322018/02/09.

    Article  PubMed  PubMed Central  Google Scholar 

  38. 38.

    Kamal AH, Bull JH, Wolf SP, et al. Prevalence and predictors of burnout among hospice and palliative care clinicians in the U.S. J Pain Symptom Manage. 2020;59:e6–e132015/12/02.

    Article  Google Scholar 

  39. 39.

    Morrison RS. A national palliative care strategy for Canada. J Palliat Med. 2018;21:S-63–75.

    Article  Google Scholar 

  40. 40.

    Eysenbach G. Improving the quality of web surveys: the checklist for reporting results of internet E-surveys (CHERRIES). J Med Internet Res. 2004;6:e342004/10/09.

    Article  PubMed  PubMed Central  Google Scholar 

  41. 41.

    Shanafelt TD, Hasan O, Dyrbye LN, et al. Changes in burnout and satisfaction with work-life balance in physicians and the general US working population between 2011 and 2014. Mayo Clin Proc. 2015;90:1600–132015/12/15.

    Article  PubMed  Google Scholar 

  42. 42.

    Windle G, Bennett KM, Noyes J. A methodological review of resilience measurement scales. Health Qual Life Outcomes. 2011;9:8.

    Article  PubMed  PubMed Central  Google Scholar 

  43. 43.

    QSR International Pty Ltd. NVivo version 12 ed. Melbourne: QSR International; 2018.

    Google Scholar 

  44. 44.

    Boyatzis RE. Transforming qualitative information: thematic analysis and code development. Thousand Oaks: Sage; 1998.

    Google Scholar 

  45. 45.

    Braun V, Clarke V. Using thematic analysis in psychology. Qual Res Psychol. 2006;3:77–101.

    Google Scholar 

  46. 46.

    Braun V, Clarke V. What can "thematic analysis" offer health and wellbeing researchers? Int J Qual Stud Health Well-being. 2014;9:26152.

    Article  PubMed  Google Scholar 

  47. 47.

    Braun V, Clarke V. Thematic analysis. In: Cooper H, Camic PM, Long L, et al., editors. APA handbook of research methods in psychology. Washington, DC: American Psychological Association; 2012. p. 51–71.

    Google Scholar 

  48. 48.

    O'Dowd E, O'Connor P, Lydon S, et al. Stress, coping, and psychological resilience among physicians. BMC Health Serv Res. 2018;18:7302018/09/23.

    Article  PubMed  PubMed Central  Google Scholar 

  49. 49.

    Agarwal SD, Pabo E, Rozenblum R, et al. Professional dissonance and burnout in primary care: a qualitative study. JAMA Intern Med. 2020;180:395–401.

    Article  PubMed  Google Scholar 

  50. 50.

    Kavalieratos D, Siconolfi DE, Steinhauser KE, et al. "it is like heart failure. It is chronic … and it will kill you": a qualitative analysis of burnout among hospice and palliative care clinicians. J Pain Symptom Manage. 2017;53:901–910.e9012017/01/04.

    Article  PubMed  PubMed Central  Google Scholar 

  51. 51.

    Swetz KM, Harrington SE, Matsuyama RK, et al. Strategies for avoiding burnout in hospice and palliative medicine: peer advice for physicians on achieving longevity and fulfillment. J Palliat Med. 2009;12:773–72009/07/23.

    Article  PubMed  Google Scholar 

  52. 52.

    Brady KJS, Trockel MT, Khan CT, et al. What do we mean by physician wellness? A systematic review of its definition and measurement. Acad Psychiatry. 2018;42:94–1082017/09/16.

    Article  PubMed  Google Scholar 

  53. 53.

    Davidson JR. Connor-Davidson Resilience Scale (CD-RISC) Manual, (2020, Accessed April 2020).

  54. 54.

    Granek L, Buchman S. Improving physician well-being: lessons from palliative care. CMAJ. 2019;191:E380–e3812019/04/10.

    Article  PubMed  PubMed Central  Google Scholar 

  55. 55.

    Arya A, Buchman S, Gagnon B, et al. Pandemic palliative care: beyond ventilators and saving lives. Can Med Assoc J. 2020;192:E400–4.

    CAS  Article  Google Scholar 

  56. 56.

    Lavin Venegas C, Nkangu MN, Duffy MC, et al. Interventions to improve resilience in physicians who have completed training: a systematic review. PLoS One. 2019;14:e0210512.

  57. 57.

    West CP, Dyrbye LN, Sinsky C, et al. Resilience and burnout among physicians and the general US working population. JAMA Netw Open. 2020;3:e2093852020/07/03.

    Article  PubMed  PubMed Central  Google Scholar 

  58. 58.

    Toh YP, Lam B, Soo J, et al. Developing palliative care physicians through mentoring relationships. Palliat Med Care. 2017;4:1–61.

    Google Scholar 

  59. 59.

    Gazelle G, Liebschutz JM, Riess H. Physician burnout: coaching a way out. J Gen Intern Med. 2015;30:508–132014/12/20.

    Article  PubMed  Google Scholar 

  60. 60.

    Leiter MP, Maslach C. Six areas of worklife: a model of the organizational context of burnout. J Health Hum Serv Adm. 1999;21:472–89 2000/01/06.

    CAS  PubMed  Google Scholar 

  61. 61.

    West CP, Dyrbye LN, Shanafelt TD. Physician burnout: contributors, consequences and solutions. J Intern Med. 2018;283:516–292018/03/06.

    CAS  Article  PubMed  Google Scholar 

  62. 62.

    LaDonna KA, Taylor T, Lingard L. Why open-ended survey questions are unlikely to support rigorous qualitative insights. Acad Med. 2018;93:347–92017/12/08.

    Article  PubMed  Google Scholar 

  63. 63.

    O'Cathain A, Thomas KJ. "any other comments?" open questions on questionnaires – a bane or a bonus to research? BMC Med Res Methodol. 2004;4:25.

    Article  PubMed  PubMed Central  Google Scholar 

  64. 64.

    Mills J, Wand T, Fraser JA. Exploring the meaning and practice of self-care among palliative care nurses and doctors: a qualitative study. BMC Palliat Care. 2018;17:632018/04/20.

    Article  PubMed  PubMed Central  Google Scholar 

  65. 65.

    Koh MYH, Hum AYM, Khoo HS, et al. Burnout and resilience after a decade in palliative care: what survivors have to teach us. A qualitative study of palliative care clinicians with more than 10 years of experience. J Pain Symptom Manage. 2020;59:105–15.

    Article  PubMed  Google Scholar 

  66. 66.

    West CP, Dyrbye LN, Erwin PJ, et al. Interventions to prevent and reduce physician burnout: a systematic review and meta-analysis. Lancet. 2016;388:2272–812016/10/04.

    Article  PubMed  Google Scholar 

  67. 67.

    Rotenstein LS, Torre M, Ramos MA, et al. Prevalence of burnout among physicians: a systematic review. Jama. 2018;320:1131–502018/10/17.

    Article  PubMed  PubMed Central  Google Scholar 

Download references


The authors would like to extend thanks to Niamh Lawlor, Natasha Lelievre, and the Ottawa Palliative Medicine Residency Program for their contributions to this project and to the Canadian Society of Palliative Care Physicians (CSPCP) and Société Québécoise des Médecins de Soins Palliafs (SQMDSP) for supporting the distribution of the electronic survey.


No grant funding was received for this study.

Author information




C.W. – Research Design, Project administration, Data curation, Formal analysis, Writing -original draft, Writing -review and editing. P.G. – Conceptualization, Research design, Formal analysis, Writing-original draft, Writing-review and editing. P.G.L.- Conceptualization, Research design, Project administration, Writing – original draft, Writing-review and editing. C.W. – Methodology, Formal analysis, Writing- original draft, Writing -review and editing. S.H.B. - Conceptualization, Research design, Writing -review and editing. B.G. - Conceptualization, Research design, Data curation, Writing -review and editing. M.K. - Conceptualization, Research design, Writing -review and editing. E.S. – Conceptualization, Research design, Supervision, Project administration, Writing -original draft, Writing -review & editing. The authors have read and approved the final manuscript.

Corresponding author

Correspondence to Edward G. Spilg.

Ethics declarations

Ethics approval and consent to participate

Ethical approval was applied for and granted by the Bruyère Research Ethics Board and the Ottawa Health Sciences Network Research Ethics Board. Informed written consent was obtained from each participant.

Consent for publication

Not applicable.

Competing interests

The authors declare that they have no competing interests.

Additional information

Publisher’s Note

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

Supplementary Information

Additional file 1: Supplementary Figure S1. CSPCP:

Canadian Society of Palliative Care Physicians; SQMDSP: Société Québécoise des Médecins de Soins Palliatif.

Additional file 2:

Multivariable linear regression, estimating difference in mean Connor-Davidson Resilience Scale (CD-RISC) total score (n = 165) [with years of practice and not age in the model].

Rights and permissions

Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit The Creative Commons Public Domain Dedication waiver ( applies to the data made available in this article, unless otherwise stated in a credit line to the data.

Reprints and Permissions

About this article

Verify currency and authenticity via CrossMark

Cite this article

Wang, C., Grassau, P., Lawlor, P.G. et al. Burnout and resilience among Canadian palliative care physicians. BMC Palliat Care 19, 169 (2020).

Download citation


  • Burnout
  • Resilience
  • Palliative care physicians