- Research article
- Open Access
Evaluation of a novel intervention to reduce burnout in doctors-in-training using self-care and digital wellbeing strategies: a mixed-methods pilot
BMC Medical Education volume 20, Article number: 294 (2020)
Burnout for doctors-in-training is increasingly cause for concern. Our objectives were to assess the feasibility, acceptability and impact of a novel intervention to reduce burnout and improve wellbeing. This is the first wellbeing intervention for medical doctors to include strategies for work-life boundary management and digital wellbeing.
Twenty-two doctors participated in face-to-face workshops which included group discussion of challenges experienced and strategies to enhance self-care and wellbeing. A pre-post-test mixed-methods evaluation was undertaken. Questionnaire measures were the Oldenburg Burnout Inventory, Warwick-Edinburgh Mental Wellbeing Scale and the boundary control subscale of the Work-Life Indicator (i.e., the degree of perception of control of the boundaries between work and personal life). Paired t-tests examined whether there were statistically significant differences. Eleven doctors also participated in post-intervention semi-structured interviews. Transcripts were analysed using thematic analysis.
The intervention was well-received, with all trainees finding the workshop useful and saying they would recommend it to others. At baseline most participants had scores indicative of burnout on both the disengagement (82%) and exhaustion (82%) subscales of the Oldenburg Burnout Inventory. One month post-intervention, participants had a statistically significant reduction in burnout (both disengagement and exhaustion) and improvement in boundary control. Wellbeing scores also improved, but differences were not statistically significant. Qualitative analysis indicated participants had welcomed a safe space to discuss stressors and many had implemented digital wellbeing strategies to manage their smartphone technology, and increased self-care such as mindfulness practice and walking in green space.
The intervention reduced burnout and improved boundary control. We suggest that having protected time for doctors to share personal experiences, adopt digital wellbeing and self-care strategies are effective tools to support doctors’ wellbeing and should be investigated further.
The impact of working pressures on doctors
Doctors in the NHS are under considerable working pressures which has a detrimental impact on their wellbeing. This is especially evident in trainees, many of whom do not have sufficient time to take breaks, eat and drink during their working day, and often work longer hours than rostered . Over one fifth of doctors in training feel short of sleep while at work on a daily or weekly basis . Doctors have high rates of mental health problems including depression, anxiety, drug/alcohol addiction, burnout and suicide . Financial pressures within the NHS have resulted in staff being described as “shock absorbers”; working longer hours and more intensely to preserve patient safety  and heavy workloads seem unlikely to fall for the foreseeable future. Lack of work-life balance has increasingly been highlighted as a primary cause for current levels of stress in the medical profession, and for the increasing problems in recruitment and retention at all levels . Digital technologies such as smartphones can also extend the time of availability to help and support colleagues beyond working hours, affecting one’s “digital wellbeing” . We use the term “digital wellbeing” to refer to the emotional status that can derive from or be affected by the use of technology. There is a growing body of research in human-computer interaction and cyberpsychology looking at how the use of technology – and particularly its quest for our attention and availability – affects users. This can include healthcare professionals who make use of technology and particularly communication technologies to get and give support, find information and that acts as a vehicle for their availability outside working hours.
Burnout and the “wellbeing paradox”
Despite being dedicated care-givers to others, doctors often do not engage in self-care behaviours themselves reflecting a “wellbeing paradox”, not getting sufficient rest and nutrition and failing to seek care for themselves when they are unwell [7,8,9]. The prevalence of burnout has been identified as higher in doctors than most other professional groups and the general population , however less than 1% of published literature on burnout focuses on doctors in training . Burnout is characterised by emotional exhaustion, depersonalization and reduced personal accomplishment .
Interventions to reduce burnout
A comprehensive systematic review and meta-analysis of interventions to prevent and reduce burnout identified that individual interventions such as mindfulness, stress management and small group discussions can reduce and prevent burnout . The analysis covered 15 randomised trials and 37 cohort studies comprising a combined sample of 3630 doctors, found burnout decreased by 10% and concluded both individual and structural or organisational interventions can have clinically significant results . The authors concluded “that these strategies can be effective approaches to reduce burnout domain scores” . Thus, developing effective individual interventions is important to reduce and prevent burnout.
Doctors’ mental wellbeing
Studies have generally focused on levels of stress, depression, addiction and burnout in doctors. This study measures burnout but also focuses on mental wellbeing and doctors’ positive mental health. There have been calls to measure physician wellness routinely, which has been described as a “missing quality indicator” . There is limited research on doctors’ mental wellbeing and positive psychological functioning and understanding doctors’ psychological resources and whether these can be enhanced through interventions to provide a buffer from the stresses of training warrants attention. There is an increasing commentary that resilience and self-care need greater attention in medical education, beginning in medical school and continuing through post-graduate training [14, 15]. Unfortunately, while attention to this area is growing, medical education focusing on wellbeing currently tends to be the exception as opposed to the norm [14, 16, 17]. Redressing this has to be a priority.
Work-life balance and microboundaries
Due to the demands of medical training, the boundaries between home and work can become blurred with trainees often sacrificing their limited free time for work and to study for exams, leading to reduced energy for coping with personal commitments . Weak boundaries between work and non-work (such as family-related) tasks lead to repeated intrusions which are cognitively taxing and stress-inducing . Further, modern technology creates fertile ground for repeated intrusions between work and non-work which is detrimental to work-life balance . Boundary management  has the potential to reduce work-life imbalance, for example through microboundaries, which are digital “resilience strategies to help minimise transitions between different work and home roles and their associated negative effects”  and can improve one’s digital wellbeing . Implementing microboundaries can free up cognitive and affective resources for recovery and potentially reduce work-life conflict . An example of a microboundary is using a work phone and a personal phone, in this way separating the two domains . Evaluation of microboundary strategies has found that they have been significantly effective in reducing stress and increasing boundary control .
The intervention and aims of the study
Given doctors are time poor, we developed a brief intervention workshop for trainees to enhance their self-care skills and help them manage their work-life balance and use of technology. The workshop makes plain that doctors are resilient but that they are working in a system under pressure . To develop the intervention, we draw on the research team’s experience of the challenges facing junior doctors , microboundary interventions [6, 23], and existing evidence regarding successful inventions to reduce burnout in doctors, such as mindfulness and small group discussions [13, 25].
The study has the following aims:
Assess the feasibility and acceptability of an intervention to promote wellbeing among junior doctors;
Measure the impact of the intervention on junior doctors’ mental wellbeing, burnout and boundary control, defined as the degree of perception of control of the boundaries between work and nonwork aspects of one’s life .
The opportunity to participate in the workshops was advertised via email mailing lists, social media posts and posters placed in London hospitals. Fifty-six medical trainees signed up to participate and of these, 22 actually attended the workshops. To be included in the study, participants had to be in post-graduate medical training. Table 1 details participants’ demographics.
A mixed-methods longitudinal design was employed. Quantitative data was collected at two points: survey pre-workshop and 1 month post-workshop. Qualitative data was gathered during semi-structured telephone interviews (1–2 months post-workshop) using a phenomenological approach. The short-term follow-up time limits the threats to internal validity posed by history and maturation effects. Ethics approval was gained from University College London (reference: UCLIC/1314/003).
The workshop intervention
The intervention was named iWARDS (Individualised Wellbeing And Resilience for DoctorS). Workshops were facilitated by AR (Health Psychologist) and LL (Human-Computer Interaction Specialist).
The workshop consisted of two sections:
General wellbeing which included advice on self-care techniques (e.g., physical activity, eating habits, sleep strategies), self-compassion and mindfulness meditation.
Digital wellbeing which included advice on taking control of technology use through microboundaries to improve work-life balance. The microboundary strategies included: email management; notification and awareness cues management (e.g., disabling “read receipts” and “online status” in the social messaging app “WhatsApp”), and expectation of availability management (e.g., setting an out of office message for the weekends). More details about these strategies are available on the iWARDS website (https://iwards.wordpress.com/).
In addition to didactic instruction, the workshop included group discussion, experiential and reflective exercises. At the end of the workshops, participants were encouraged to set two SMART (Specific, Measurable, Achievable, Realistic, Timely) goals; one regarding self-care and the other regarding microboundaries. Refreshments were available and participants received a certificate of participation. Participants were given a copy of the iWARDS booklet containing the strategies covered in the workshops, which can be downloaded from the iWARDS website (available here: https://iwards.wordpress.com/).
The Oldenburg Burnout Inventory (OLBI) is a valid and reliable measure of burnout in healthcare workers . OLBI measures burnout in two dimensions: disengagement (e.g., “I always find new and interesting aspects in my work”) and exhaustion (emotional, cognitive and physical exhaustion; e.g., “After working, I have enough energy for my leisure activities”). Each subscale consists of eight items, with four positively worded and four negatively. Responses ranged from 1 (strongly agree) to 4 (strongly disagree). Higher scores indicate greater burnout. Scores were averaged for analysis and a score of 2.25 or higher on exhaustion and 2.1 on disengagement are considered to be high, indicating burnout . Cronbach’s alpha for the disengagement and exhaustion subscales were found to be 0.85 and 0.76 respectively.
The Warwick–Edinburgh Mental WellBeing Scale (WEMWBS) is a validated and reliable 14-item measure of subjective wellbeing and psychological functioning . Each item is measured on a 5-point Likert scale from 1 (none of the time) to 5 (all of the time) that best describes the previous 2 weeks, with a minimum score of 14 and a maximum of 70, with higher scores denoting better wellbeing. Examples include “I’ve been feeling interested in other people” and “I’ve been feeling good about myself”. Cronbach’s alpha showed good reliability (α = 0.89). The scale has been found to be sensitive for measuring change due to interventions with a change of three to eight points considered a meaningful improvement [29, 30]. The WEMWBS is included in the Health Survey for England, which found an average wellbeing score of 49.9 in 2016 .
Boundary control was measured through the boundary control sub-scale of the Work-Life Indicator (WLI) . The sub-scale has three items, which have a 5-point Likert scale from 1 (Strongly Disagree) to 5 (Strongly Agree). Examples include “I control whether I am able to keep my work and personal life separate” and “I control whether I combine my work and personal life activities throughout the day”. Scores are averaged, and participants with ratings of 2 or less are classified as having “low boundary control” indicating that they have a sense of powerlessness over the interruption behaviours between their work and personal life. A score of three is considered “medium boundary control”. A score of four or higher is classified as “high boundary control” and denoted participants who have a sense of control of the interruption behaviours between their life roles . The scale had good reliability (α = 0.91).
Trainees were recruited via medical education departments and social media (Twitter and Eventbrite). Upon sign-up, participants were sent an email link with the questionnaire containing the OLBI, WEMWBS, WLI measures and basic demographics, via the online survey platform Qualtrics. Six two-hour workshops were held in 2018 with 22 trainees in three London hospitals (University College London Hospital, The Whittington Hospital and The Royal Free Hospital). Following the workshop, trainees completed a feedback form to determine the usefulness and acceptability of the workshop and an online questionnaire 1 month post-workshop that included the OLBI, WEMWBS and WLI measures.
All participants were invited to take part in a semi-structured telephone interview 1 to 2 months later but not all responded. Most non-responders did not give a reason however one declined to participate due to heavy workload. Interviews focused on reflecting on the workshop in terms of what was most and least useful and their progress on goals set during the workshop. Eleven participants were interviewed and audio recordings were professionally transcribed verbatim. Interviews were scheduled to last approximately 30 min. The length of interviews ranged from 20 to 40 min with the average being 29 min. Data was analysed in NVivo 11.
Care was taken to ensure the quality of the qualitative research by employing the criteria of credibility, transferability, dependability, and confirmability as defined by Lincoln and Guba . Three forms of triangulation were employed to establish credibility and confirmability. Firstly, data triangulation; data was collected at multiple sites and at different time periods. Secondly, method triangulation; multiple methods of data collection were employed, through the use of questionnaires and interviews. Thirdly, investigator triangulation; multiple researchers were used to code, analyse and interpret the qualitative data. Concerning reflexivity, an aspect of confirmability, the investigators discussed how personal and research values may influence the research. Care was taken for the researchers involved in qualitative analysis to have different professional backgrounds which included psychology (AR) and medicine (AA) thus bringing different perspectives to minimise potential bias. A further mechanism of confirmability and dependability was the engagement with an experienced qualitative researcher external to the study (RV, linguist) who examined the data and corroborated the interpretation, thus bringing an outside perspective to minimise potential bias. Regarding transferability, it is hoped the authors have presented in sufficient detail and transparently all aspects of the study for the reader to assess whether the findings would be transferable to similar contexts.
Paired t-tests examined whether there was statistical significant change between pre-and post-intervention measures using IBM SPSS Statistics for Windows v.24 .
Thematic analysis of interview data
The interview transcripts were analysed using inductive thematic analysis . Two researchers (AR and AA) read through all the transcripts and generated codes which were then used to produce an initial coding framework through discussion. A third researcher (RV) independent to the project team, with expertise in qualitative analysis was consulted to review the transcripts and framework to reduce the potential for bias. This framework was used by AR and AA, who coded three transcripts independently and discussed areas of disagreement and refined the framework where necessary. The framework was then used by AA to code the remaining transcripts. Both authors continued to meet throughout the iterative process to agree upon the themes and sub-themes which best captured trainees’ experiences.
Eighteen (82%) participants completed both pre- and post-surveys. At baseline, 18 (82%) participants had high disengagement scores (i.e. mean ≥ 2.1 on the OLBI-disengagement subscale) and 18 (82%) had high exhaustion scores (i.e. mean ≥ 2.25 on the OLBI-exhaustion subscale.) Ten participants (45%) had low boundary control, five (23%) had medium boundary control and seven (32%) had high boundary control. The mean wellbeing score of participants (M = 46.67, SD = 7.41) showed 13 (59%) had a wellbeing score lower than the mean reported by the Health Survey for England for the general population in 2016 (M = 49.9) .
Mean level of exhaustion was significantly reduced from the pre-workshop (M = 2.78, SD = .43) to the post-workshop (M = 2.58, SD = .43); t(17) = 2.12, p = .049. Disengagement was also significantly reduced from participants’ pre-workshop scores (M = 2.43, SD = .47) to their post-workshop scores (M = 2.23, SD = .48); t(17) = 2.47, p = .02).
Wellbeing scores increased from the pre-workshop (M = 46.67, SD = 7.41) to the post-workshop (M = 49.00, SD = 6.80), but this was not statistically significant t(17) = − 1.58, p = .13. However 41% (n = 9) of participants showed meaningful improvement in wellbeing scores (increase of between 3 and 8 points) [29, 30].
Boundary control scores significantly increased from the pre-workshop (M = 3.13; SD = .89) to the post-workshop (M = 3.63; SD = .84); t(17) = − 2.21, p = .04).
The intervention was well-received with all trainees finding the workshop useful and saying they would recommend the workshops to others. 67% of the participants responded that they were “very likely” to implement any of the strategies they heard in the workshop, and 33% of the participants reported that they were “somewhat likely”.
Thematic analysis revealed the following seven themes:
Opportunity for reflection and to prioritise wellbeing
The value of sharing and hearing the experiences of others
Self-care goals and outcomes; enablers and barriers to implementation
Microboundaries goals and outcomes; enablers and barriers to implementation
Improvements for future workshops
Illustrative quotations for each of the Themes can be seen in Table 2.
Theme 1: opportunity for reflection and to prioritise wellbeing
Trainees referred to the challenges of discussing problems in their normal working environment, where medical culture is one where there is little open discussion about challenges to wellbeing. Doctors are expected to be “hardened” (P1), “resilient” (P20) and not “admit any weaknesses” (P4). Thus, stresses are not openly vocalised, and the workshops provided a welcome respite. For several trainees a useful aspect was an acknowledgement that wellbeing was a challenge for doctors, and simply hearing the message that they should take care of themselves was valuable.
The workshops provided time and space for self-reflection, which was typically not possible due to the intensity of work and/or due to simply being exhausted, there was not the mental energy available. Through dedicated time, the workshops gave doctors the opportunity to develop greater self-awareness of the impact of work on their wellbeing, the importance of self-care and motivation for change.
Theme 2: sharing and hearing experiences of others
The structure of the workshop involved interactive exercises, sharing experiences and listening to one another. The workshops created a safe space where trainees could speak openly about their experiences, without fear of being judged. The expectation that doctors should be resilient was discussed by one doctor in light of colleagues who had sadly committed suicide, highlighting the importance of a safe place where personal experiences could be discussed openly.
Theme 3: workshop content
The positive aspects from the self-care content of the workshop were that participants reported increased awareness of the value of self-care, enhanced self-awareness and tools to manage stress. Examples of strategies noted by participants as being useful were mindfulness techniques, creating a “no-list”, and physical activity.
In terms of the least useful aspects, two participants were already familiar with the material presented.
Most participants commented on the usefulness of creating stronger boundaries between work and non-work roles with the use of technology. Doctors commented on the practical tips they had gained from the session. This tended to be with their smartphone and/or email.
Theme 4: self-care goals and outcomes; enablers and barriers to implementation
Goals and outcomes
Ten out of the 11 participants who were interviewed made self-care commitments. Many of the self-care behaviours participants had adopted were regarding physical activity (e.g., walking in green spaces). Two participants chose to adopt mindfulness. One participant made a commitment to be more self-compassionate, and another participant had developed a "no-list" and set greater boundaries at work. Participants described positive outcomes as a result of changes in their self-care behaviours. The benefits were wide-ranging, including feeling more relaxed, happier and experiencing an increase in self-esteem from a sense of achievement.
Enablers to implementation
Several factors facilitated the implementation of commitments: setting SMART goals, writing down a commitment during the session, and scheduling an activity in their diary.
Barriers to implementation
Not all participants were able to keep their commitments. The nature of having to adhere to a rota, changing work patterns and a heavy workload presented challenges to the implementation of commitments for a few participants. One participant started practicing mindfulness prior to going to bed which had been beneficial, but maintaining this routine during night shifts has been challenging. Another participant’s intentions were not met because of a change in their rota, meaning that they could no longer attend their exercise class as planned. For another participant, the demands of exams had interfered with their physical activity goal.
Theme 5. Microboundary goals and outcomes; enablers and barriers to implementation
Goals and outcomes
The most popular microboundary goals concerned social media and messaging apps (e.g., WhatsApp). Goals included disabling notifications to reduce interruptions, turning off awareness cues (e.g. read receipts) to manage expectations of availability, and device management to reduce access to or appeal of social media apps (e.g. moving all social media apps in a folder away from the home screen). Participants reported a myriad of positive outcomes as a result of implementing microboundary strategies including reduced stress, better boundaries between work and personal life, increased productivity and increased control.
Enablers to implementation
Several factors contributed to participants’ success in implementing microboundaries: setting the intention and getting started, choosing one achievable goal and due to the fact that microboundary strategies are quick to implement.
Barriers to implementation
Some doctors felt that they needed to be constantly available on their devices as they were worried they might miss out on important work or personal matters. Another doctor, expressed concerns, “in anticipation” (P5) about interpersonal difficulties arising from expectations of availability not being met as this had been their experience before even when they have been unable to respond because of other responsibilities.
Theme 6. Future intentions
Many of the participants expressed the desire to continue with the strategies they found useful, where the changes had already become routine. For some participants, the workshops stimulated deeper reflection, prompting them to consider seeking psychotherapy. Another participant discussed the value of self-care and wanting to embed it into their work for the future when they became a Consultant, expressing the desire to communicate the value of self-care to their junior doctors.
Overall, 94% (17/18) of participants were interested in attending further work-life balance training and 89% (16/18) expressed interest in further mindfulness and self-care training.
Theme 7. Improvements for future workshops
A couple of participants expressed a desire for more practical instruction regarding how to implement the microboundary strategies, suggesting they would have liked to have implemented some of the microboundary strategies on their electronic devices during the workshop but had been unable, mentioning lack of sufficient time and detailed instruction as obstacles. Participants were asked whether they would like the intervention to be available online, such as via an app and were generally keen for this alternative, given the difficulties of attending face-to-face workshops due to lack of time.
This is the first known study that has integrated education about the use of microboundaries for digital wellbeing  with more traditional stress-reduction techniques such as mindfulness and self-care strategies, self-compassion and physical activity, in a wellbeing intervention for doctors in training. Prior to the intervention the majority of trainees reported symptoms of burnout. Post intervention, there was a statistically significant improvement in boundary control and in both the emotional exhaustion and disengagement components of burnout, although not for mental wellbeing. Previous work which evaluated microboundary strategies, found a significant reduction in perceived stress, along with a significant increase in boundary control . One possible explanation for the non-significant result in this study is that mental wellbeing encompasses several aspects, not just the absence of stress, as defined by WHO . Triangulation with the qualitative findings provides insight into the factors contributing to the success of the intervention. Trainees described their working environment as a culture where challenges to wellbeing are rarely discussed, with an intense workload that resulted in little time and energy for reflection on their stressors. The workshops were welcomed because they provided a unique opportunity to hear the explicit message that doctors need to take care of themselves and by providing time and space which gave the opportunity to reflect on their wellbeing, stressors and identify areas they would like to change. Being in a non-judgemental environment, and participating in group exercises which involved sharing and hearing experiences of others, was highly valued. Given their working environment tends not to welcome open communication about perceived weaknesses, sharing experiences openly with other trainees in a non-judgemental, safe space was felt to be particularly important.
Microboundaries were the most frequently implemented strategies, particularly in regards to managing smartphones (e.g. disabling notifications), and the most popular self-care strategies implemented were physical activity (e.g. walking in green spaces) and mindfulness. Interviews revealed that strategies such as turning off notifications from social media resulted in fewer interruptions, with both affective (e.g. reduced stressed) and functional benefits (e.g. better time management). This is in line with previous empirical work which has shown that removing email notifications leads to stress reduction . Positive outcomes from increased self-care behaviours included feeling more relaxed, happier and an increase in self-esteem.
Enablers to the successful implementation of commitments included writing down their commitment during the workshop and planning the activity, such as scheduling time in their diary and setting SMART goals. Goal setting is known to be an effective behaviour change technique . Goals which tended to be successful were those that were quick and easy to implement, perhaps unsurprisingly as doctors are time poor. Due to experiencing the benefits of these changes, many expressed a desire to continue to implement the changes in the future. Not all commitments were successful however. Concerning microboundaries, some felt they should always be available, either because of their responsibilities or due to expectations of others, such as their consultant. This is in contrast to previous work, which suggests that once smartphone settings are changed (e.g. removing notifications), these changes are kept long-term, even 2 years later . Findings from the study presented in this paper suggest that for particular professions that rely on on-call availability and with caring responsibilities, it is crucial for users to be fully in control of how microboundaries are implemented and adapted over time to meet their needs. With self-care, some commitments, for example, attending an exercise class, had not been possible because of rotas and changing work patterns. In terms of future interventions, one improvement would be to offer practical assistance for participants who wished to implement microboundary strategies immediately after the workshop. Another would be to explore the possibility of an online intervention via an app or website, which would allow doctors to access the intervention at a time convenient to them.
Whilst the results of the intervention are encouraging, burnout levels for both emotional exhaustion and disengagement remained high as classified by the Oldenburg Burnout Inventory suggesting that significant levels of burnout existed in participants post-intervention. It should be remembered that interventions targeting the individual to increase wellbeing and reduce burnout cannot be the only solution. Such interventions focusing on the doctor alone, run the risk of placing responsibility for good mental health on the doctor themselves, while neglecting the organisational and structural context in which they are operating [25, 40]. That organisational and structural factors require change is beyond doubt, but the unfortunate reality is that doctors currently practicing in the NHS will be working in a system that is under pressure  for the foreseeable future and organisational level change typically happens at a glacial pace, especially if it is to be sustainable . Both interventions that target the individual (e.g. mindfulness) and organisational factors (e.g. work environment) are required; both of which produce similarly large improvements in burnout .
Strengths of the study
This is the first study that has used microboundary techniques to increase wellbeing and reduce burnout in trainee doctors integrated with other techniques with prior evidence of effectiveness including mindfulness and group discussion . In addition to the originality of the intervention design, strengths include the high response rate for completing the follow-up questionnaire (82%). Doctors' response rates to questionnaires can be low (e.g., ) and inability to follow up problematic due to potential selection bias and loss in sample size. The questionnaires chosen were brief but also sensitive to change in a small sample, with the exception of the WEMWBS.
The use of both quantitative and qualitative methods provides a more comprehensive understanding of participants’ experiences and intervention effectiveness, in addition to enhancing the rigour of the study [43, 44].
Limitations of the study
Limitations include lack of a control group, meaning we cannot exclude other possible confounding factors which could have influenced post-workshops scores. Multiple channels were used to maximise recruitment but despite trainees signing up, there were challenges with attendance, with only 51% of those signing up actually attending the sessions. Cancellations were frequently to do with work pressures, such as staff shortages and needing to work late. This suggests wellbeing interventions should not be an “add-on” to an existing schedule but part of routine medical education. The small sample size limits the generalisability of the findings and could have resulted in the lack of a detected effect for improvement in mental wellbeing scores, which were not statistically significant (type II error). Participants were a self-selecting sample, and may have been attracted to the workshop because of higher rates of burnout. However the GMC’s National Training Survey which includes data from over 50,000 UK doctors, suggests our sample was not unique, with 39% reporting that their work is emotionally exhausting and 56% reporting that they were always or often worn out at the end of the working day . Follow-up data was collected 1 month post intervention so it is unknown as to whether the improvements in burnout and wellbeing would be sustainable over a longer period of time. Future research could address these limitations with a larger sample, an experimental design and a follow-up period of a longer duration.
Despite high rates of burnout, interventions to enhance wellbeing and reduce burnout are not typically included in medical education. This pilot intervention suggests trainee doctors would benefit from self-care and digital wellbeing strategies and further research could explore the potential for this intervention in a larger sample of doctors with a view to becoming a routine part of training.
Availability of data and materials
In order to protect the confidentiality of research participants, the data generated and analysed during the current study are not publicly available.
Individualised Wellbeing And Resilience for DoctorS
Oldenburg Burnout Inventory
National Health Service
Specific Measurable Achievable Realistic Timebound
Warwick–Edinburgh Mental WellBeing Scale
World Health Organisation
Royal College of Physicians. Being A Junior Doctor: Experiences From The Front Line Of The NHS. 2016.
General Medical Council. National Training Survey 2018 [Available from: https://www.gmc-uk.org/-/media/documents/dc11391-nts-2018-initial-findings-report_pdf-75268532.pdf.
Brooks SK, Gerada C, Chalder T. Review of literature on the mental health of doctors: are specialist services needed? J Ment Health. 2011;20(2):146–56.
Robertson R, Wenzel L, Thompson J, Charles A. Understanding NHS financial pressures. How are they affecting patient care; 2017.
Clarke N, Crowe S, Humphries N, Conroy R, O’Hare S, Kavanagh P, et al. Factors influencing trainee doctor emigration in a high income country: a mixed methods study. Hum Resour Health. 2017;15(1):66.
Cecchinato ME, Cox AL, Bird J. Working 9–5?: Professional differences in email and boundary management practices. 33rd Annual ACM Conference on Human Factors in Computing Systems 2015:pp. 3989–98.
Jones A. The Doctors paradox: Well-being 2018 [Available from: https://www.sovereignmagazine.co.uk/home/2018/10/13/the-doctors-paradox-well-being.
Wallace JE, Lemaire JB, Ghali WA. Physician wellness: a missing quality indicator. Lancet. 2009;374(9702):1714–21.
Schneider S, Kingsolver K, Rosdahl J. Physician coaching to enhance well-being: a qualitative analysis of a pilot intervention. Explore (NY). 2014;10(6):372–9.
Shanafelt TD, Hasan O, Dyrbye LN, Sinsky C, Satele D, Sloan J, 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(12):1600–13.
Prins JT, Gazendam-Donofrio SM, Tubben BJ, van der Heijden FM, van de Wiel HB, Hoekstra-Weebers JE. Burnout in medical residents: a review. Med Educ. 2007;41(8):788–800.
Maslach C, Jackson SE, Leiter MP, Schaufeli WB, Schwab RL. Maslach burnout inventory: consulting psychologists press Palo Alto, CA; 1986.
West CP, Dyrbye LN, Erwin PJ, Shanafelt TD. Interventions to prevent and reduce physician burnout: a systematic review and meta-analysis. Lancet. 2016;388(10057):2272–81.
Beresin EV, Milligan TA, Balon R, Coverdale JH, Louie AK, Roberts LW. Physician wellbeing: a critical deficiency in resilience education and training. Acad Psychiatry. 2016;40(1):9–12.
Peters D, Horn C, Gishen F. Ensuring our future doctors are resilient. Bmj. 2018;362:k2877.
Outram S, Kelly B. “You teach us to listen,… but you don’t teach us about suffering”: self-care and resilience strategies in medical school curricula. Perspectives Med Educ. 2014;3(5):371–8.
Passi V. Developing resilience throughout the continuum of medical education. Perspectives on Medical Education. 2014;3(5):329–31.
Rich A, Viney R, Needleman S, Griffin A, Woolf K. 'You can't be a person and a doctor': the work-life balance of doctors in training-a qualitative study. BMJ Open. 2016;6(12):e013897.
Carlson DS, Kacmar KM, Zivnuska S, Ferguson M. Do the benefits of family-to-work transitions come at too great a cost? J Occup Health Psychol. 2015;20(2):161.
Kossek EE. Managing work-life boundaries in the digital age. Organ Dyn. 2016;45(3):258–70.
Kinnunen U, Rantanen J, de Bloom J, Mauno S, Feldt T, Korpela K. The role of work–nonwork boundary management in work stress recovery. Int J Stress Manag. 2016;23(2):99.
Cecchinato ME, Rooksby J, Hiniker A, Munson S, Lukoff K, Ciolfi L, et al. Designing for Digital Wellbeing: A Research & Practice Agenda. Extended Abstracts of the 2019 CHI Conference on Human Factors in Computing Systems 2019:p. W17.
Cox AL, Gould SJJ, Cecchinato ME, Iacovides I, Renfree I. Design Frictions for Mindful Interactions: The Case for Microboundaries. Proceedings of the 2016 CHI Conference Extended Abstracts on Human Factors in Computing Systems; San Jose, California, USA. 2892410: ACM; 2016. p. 1389–97.
Cecchinato ME. Communicating in a multi-role, multi-device, multi-channel world: how knowledge workers manage work-home boundaries doctoral dissertation, University College London; 2018.
Balme E, Gerada C, Page L. Structural, environmental and individual factors that promote or impede the development of resilience amongst training grade doctors in the NHS in England. [Unpublished report] Brighton and Sussex Medical School; 2015.
Demerouti E, Bakker AB. The Oldenburg burnout inventory: a good alternative to measure burnout and engagement. Handbook of stress and burnout in health care 2008:65–78.
Peterson U, Demerouti E, Bergström G, Samuelsson M, Åsberg M, Nygren Å. Burnout and physical and mental health among Swedish healthcare workers. J Adv Nurs. 2008;62(1):84–95.
Tennant R, Hiller L, Fishwick R, Platt S, Joseph S, Weich S, et al. The Warwick-Edinburgh mental well-being scale (WEMWBS): development and UK validation. Health Qual Life Outcomes. 2007;5(1):63.
Maheswaran H, Weich S, Powell J, Stewart-Brown S. Evaluating the responsiveness of the Warwick Edinburgh mental well-being scale (WEMWBS): group and individual level analysis. Health Qual Life Outcomes. 2012;10(1):156.
Taggart F, Stewart-Brown S, Parkinson J. Warwick-Edinburgh Mental Well-being Scale (WEMWBS) User Guide (Version 2); 2015.
Health Survey for England. Well-being and mental health. 2017.
Kossek EE, Ruderman MN, Braddy PW, Hannum KM. Work–nonwork boundary management profiles: a person-centered approach. J Vocat Behav. 2012;81(1):112–28.
Lincoln YS, Guba EG. Naturalistic inquiry. Newberry Park: Sage; 1985.
IBM Corp. IBM SPSS statistics for windows, version 24.0. Armonk: IBM Corp.; 2016.
Braun V, Clarke V. Using thematic analysis in psychology. Qual Res Psychol. 2006;3(2):77–101.
World Health Organization. Promoting mental health: concepts, emerging evidence, practice (Summary Report). Geneva: World Health Organisation; 2004.
Mark G, Voida S, Cardello A. "A pace not dictated by electrons" an empirical study of work without email. Proceedings of the SIGCHI conference on human factors in computing systems 2012. p. 555–564.
Epton T, Currie S, Armitage CJ. Unique effects of setting goals on behavior change: systematic review and meta-analysis. J Consult Clin Psychol. 2017;85(12):1182–98.
Pielot M, & Rello, L. Productive, anxious, lonely: 24 hours without push notifications. Proceedings of the 19th International Conference on Human-Computer Interaction with Mobile Devices and Services 2017. p. 1–11.
Carrieri D, Briscoe S, Jackson M, Mattick K, Papoutsi C, Pearson M, Wong G. ‘Care Under Pressure’: a realist review of interventions to tackle doctors’ mental ill-health and its impacts on the clinical workforce and patient care. BMJ Open. 2018;8(2).
Gridley K. Resilience training is just a band-aid solution for doctor well-being: no. Emerg Med Australas. 2018;30(2):261–2.
Bosslet GT, Torke AM, Hickman SE, Terry CL, Helft PR. The patient–doctor relationship and online social networks: results of a National Survey. J Gen Intern Med. 2011;26(10):1168–74.
Heale R, Forbes D. Understanding triangulation in research. Evidence-Based Nursing. 2013:ebnurs-2013-101494.
Bryman A. Integrating quantitative and qualitative research: how is it done? Qual Res. 2006;6(1):97–113.
General Medical Council. National Training Surveys 2019; initial findings report. 2019.
We would like to thank all the doctors who participated.
Funding was awarded to Dr. Antonia Rich and Professor Anna Cox from a Grand Challenge Grant from UCL.
Ethics approval and consent to participate
The study received ethical approval from UCL [reference: UCLIC/1314/003]. Participation in the study was voluntary and all participants consented in writing to take part.
Consent for publication
Dr. Antonia Rich and Professor Anna Cox were awarded a Grand Challenge grant from UCL. No authors have any other relationships or activities that could appear to have influenced the submitted work.
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Rich, A., Aly, A., Cecchinato, M.E. et al. Evaluation of a novel intervention to reduce burnout in doctors-in-training using self-care and digital wellbeing strategies: a mixed-methods pilot. BMC Med Educ 20, 294 (2020). https://doi.org/10.1186/s12909-020-02160-y
- Boundary control
- Digital technologies