AbouZahr, C. (2003). Global burden of maternal death and disability. British Medical Bulletin, 67(1), 1–11.Google Scholar

Ajzen, I. (1991). The theory of planned behavior. Organizational Behavior and Human Decision Processes, 50, 179–211.CrossRefGoogle Scholar

Carver, C. S. & Scheier, M. F. (2001). On the Self-Regulation of Behavior. Cambridge: Cambridge University Press.Google Scholar

Cialdini, R. B., Kallgren, C. A. & Reno, R. R. (1991). A focus theory of normative conduct: a theoretical refinement and reevaluation of norms in human behaviour. Advances in Experimental Social Psychology,24, 201–234.Google Scholar

Eccles, M. P., Hrisos, S., Francis, J. J., et al. (2009). Can the collective intentions of individual professionals within healthcare teams predict the team’s performance: developing methods and theory. Implementation Science, 4, 24.Google Scholar

Eccles, M. P., Hrisos, S., Francis, J. J., et al. (2011). Instrument development, data collection, and characteristics of practices, staff, and measures in the Improving Quality of Care in Diabetes (iQuaD) Study. Implementation Science, 6, 61.Google Scholar

Festin, M. R., Lumbiganon, P., Tolosa, J. E., et al. (2003). International survey on variations in practice of the management of the third stage of labour. Bulletin of the World Health Organization, 81, 286–291.Google Scholar

Fishbein, M. (1967). Attitude and the prediction of behavior. In Fishbein, M. (ed.), Readings in Attitude Theory and Measurement (pp.477–492). New York: Wiley.Google Scholar

Francis, J., Eccles, M. P., Johnston, M., et al. (2004). Constructing Questionnaires Based on the Theory of Planned Behaviour: A Manual for Health Services researchers. Newcastle: University of Newcastle upon Tyne.Google Scholar

Francis, J. J., Lorencatto, F., Gould, N., Presseau, J. & Grimshaw, J. M. (2016). The TACTA principle: a framework for specifying behavior and its complexity in behaviour change research. International Congress of Behavioral Medicine, 7–10 December 2016, Melbourne.Google Scholar

Fuller, C., Michie, S., Savage, J., et al. (2012). The Feedback Intervention Trial (FIT): improving hand-hygiene compliance in UK healthcare workers – a stepped wedge cluster randomised controlled trial. PLoS One, 7(10), e41617.Google Scholar

Grimshaw, J. M., Eccles, M. P., Lavis, J. N., Hill, S. J. & Squires, J. E. (2012). Knowledge translation of research findings. Implementation Science, 7, 50.CrossRefGoogle ScholarPubMed

Hardeman, W., Sutton, S., Griffin, S., et al. (2005). A causal modelling approach to the development of theory-based behaviour change programmes for trial evaluation. Health Education Research, 20, 676–687.Google Scholar

Isen, A. (1987). Positive affect, cognitive processes, and social behavior. Advances in Experimental Social Psychology, 20, 203–253.Google Scholar

Johnston, D. W., Beedie, A. & Jones, M. C. (2006). Using computerized ambulatory diaries for the assessment of job characteristics and work-related stress in nurses. Work & Stress, 20, 163–172.Google Scholar

Kruglanski, A. W., Shah, J. Y., Fishbach, A., et al. (2002). A theory of goal systems. In Zanna, M. P. (ed.), Advances in Experimental Social Psychology (pp. 331–378), San Diego, CA: Academic Press.Google Scholar

Lorencatto, F., West, R., Christopherson, C. & Michie, S. (2013). Assessing fidelity of delivery of smoking cessation behavioural support in practice. Implementation Science, 8, 40.Google Scholar

Lorencatto, F., Gould, N. J., Stanworth, S. J., et al. (2017). Are current audit and feedback interventions to change UK blood transfusion practice theory- and evidence-based? Presentation at the 31st conference of the European Health Psychology Society (EHPS), Padova, Italy, 29 August to 2 September.Google Scholar

Michie, S. & Johnston, M. (2004). Changing clinical behaviour by making guidelines specific. British Medical Journal, 328, 343–345.CrossRefGoogle ScholarPubMed

Michie, S., Johnston, M., Abraham, C., et al. (2005). Making psychological theory useful for implementing evidence based practice: a consensus approach, Quality & Safety in Health Care, 14, 26–33.Google Scholar

Nordqvist, C. (2015). What is psychology? What are the branches of psychology? www.medicalnewstoday.com/articles/154874.php.Google Scholar

Presseau, J., Sniehotta, F. F., Francis, J. J. Campbell, N. C. (2009). Multiple goals and time constraints: perceived impact on physicians’ performance of evidence-based behaviours. Implementation Science, 4, 77.CrossRefGoogle ScholarPubMed

Presseau, J., Francis, J. J., Campbell, N. C. & Sniehotta, F. F. (2011). Goal conflict, goal facilitation, and health professionals’ provision of physical activity advice in primary care: an exploratory prospective study. Implementation Science, 6, 73.Google Scholar

Presseau, J., Tait, R. I., Johnston, D. W., Francis, J. J. & Sniehotta, F. F. (2013). Goal conflict and goal facilitation as predictors of daily accelerometer-assessed physical activity. Health Psychology, 32, 1179–1187.CrossRefGoogle ScholarPubMed

Presseau, J., Hawthorne, G., Sniehotta, F. F., et al. (2014). Improving Diabetes care through Examining, Advising, and prescribing (IDEA): protocol for a theory-based cluster randomised controlled trial of a multiple behaviour change intervention aimed at primary healthcare professionals. Implementation Science, 9, 61.Google Scholar

Riediger, M. & Freund, A. M. (2004). Interference and facilitation among personal goals: differential associations with subjective well-being and persistent goal pursuit. Personality and Social Psychology Bulletin, 30(12), :1511–1523.CrossRefGoogle ScholarPubMed

Schmidt, A. M. & DeShon, R. P. (2007). What to do? The effects of discrepancies, incentives, and time on dynamic goal prioritization. Journal of Applied Psychology, 92, 928–941.CrossRefGoogle Scholar

Sniehotta, F. F., Presseau, J., Allan, J. & Araújo‐Soares, V. (2016). ‘You can’t always get what you want’: a novel research paradigm to explore the relationship between multiple intentions and behaviours. Applied Psychology: Health and Well‐Being, 8, 258–275.Google Scholar

Stanworth, S. J., Grant-Casey, J., Lowe, D., et al. (2011). The use of fresh frozen plasma in England: high levels of inappropriate use in adults and children. Transfusion, 51, 62–70.Google Scholar

Westhoff, G., Cotter, A. M. & Tolosa, J. E. (2013). Prophylactic oxytocin for the third stage of labour to prevent postpartum haemorrhage. Cochrane Database of Systematic Reviews, 10, CD001808.Google Scholar

Adriaenssens, J., De Gucht, V. & Maes, S. (2015). Determinants and prevalence of burnout in emergency nurses: a systematic review of 25 years of research. International Journal of Nursing Studies, 52, 649–661.Google Scholar

Aiken, L. H., Sermeus, W., Van den Heede, K., et al. (2012). Patient safety, satisfaction, and quality of hospital care: cross sectional surveys of nurses and patients in 12 countries in Europe and the United States. BMJ, 344, e1717.Google Scholar

Arnetz, J. E., Hamblin, J. E., Essenmacher, L., et al. (2015). Understanding patient-to-worker violence in hospitals: a qualitative analysis of documented incident reports. Journal of Advanced Nursing, 71, 338–348.Google Scholar

Atsalos, C., O’Brien, L. & Jackson, D. (2007). Against the odds: experiences of nurse leaders in Clinical Development Units (Nursing) in Australia. Journal of Advanced Nursing, 58, 576–584.Google Scholar

Bowers, L. (2009). Association between staff factors and levels of conflict and containment on acute psychiatric wards in England. Psychiatric Services, 60, 231–239.Google Scholar

Carr, W. A. & Ball, S. A. (2014). Predictors and treatment outcomes of perceived ward atmosphere among therapeutic community residents. Journal of Substance Abuse Treatment, 46, 567–573.CrossRefGoogle ScholarPubMed

Chang, E. M. L., Bidewell, J. W., Huntington, A. D., et al. (2007). A survey of role stress, coping and health in Australian and New Zealand hospital nurses. International Journal of Nursing Studies, 44, 1354–1362.Google Scholar

Chaudoir, S. R., Dugan, A. G. & Barr, C. H. I. (2013). Measuring factors affecting implementation of health innovations: a systematic review of structural, organizational, provider, patient, and innovation level measures. Implementation Science, 8, 22.Google Scholar

Converso, D., Loera, B., Viotti, S., et al. (2015). Do positive relations with patients play a protective role for healthcare employees? Effects of patients’ gratitude and support on nurses’ burnout. Frontiers in Psychology, 6, 470.CrossRefGoogle ScholarPubMed

Doyle, C., Lennox, L. & Bell, D. (2013). A systematic review of evidence on the links between patient experience and clinical safety and effectiveness. BMJ Open, 3, e001570.Google Scholar

Duffield, C., Diers, C., O’Brien-Pallas, L., et al. (2011). Nursing staffing, nursing workload, the work environment and patient outcomes. Applied Nursing Research, 24, 244–255.CrossRefGoogle ScholarPubMed

Escribà-Agüir, V., Martín-Baena, D. & Pérez-Hoyos, S. (2006). Psychosocial work environment and burnout among emergency medical and nursing staff. International Archives of Occupational and Environmental Health, 80, 127–133.Google Scholar

Ferreira, P. H., Ferreira, M. L., Maher, C. G., et al. (2013). The therapeutic alliance between clinicians and patients predicts outcome in chronic low back pain. Physical Therapy, 93, 470–478.CrossRefGoogle ScholarPubMed

Gittell, J. H., Godfrey, M. & Thistlethwaite, J. (2013). Interprofessional collaborative practice and relational coordination: improving healthcare through relationships. Journal of Interprofessional Care, 27, 210–213.Google Scholar

Glazer, S. & Gyurak, A. (2008). Sources of occupational stress among nurses in five countries. International Journal of Intercultural Relations, 32, 49–66.CrossRefGoogle Scholar

Katzman, G. L. & Paushter, D. M. (2016). Building a culture of continuous quality improvement in an academic radiology department. Journal of the American College of Radiology, 13, 453–460.Google Scholar

Kelly, L. A., McHugh, M. D. & Aiken, L. H. (2011). Nurse outcomes in magnet^® and non-magnet hospitals. The Journal of Nursing Administration, 41, 428–433.Google Scholar

Lorch, J. A. & Pollak, V. E. (2014). Continuous quality improvement in daily clinical practice: a proof of concept study. PLoS One, 9, e97066.CrossRefGoogle ScholarPubMed

Mache, S., Vitzthum, K., Klapp, B. F. & Groneberg, D. A. (2012). Improving quality of medical treatment and care: are surgeons’ working conditions and job satisfaction associated to patient satisfaction? Langenbeck’s Archives of Surgery, 397, 973–982.Google Scholar

Mark, G. & Smith, A. P. (2012). Occupational stress, job characteristics, coping, and the mental health of nurses. British Journal of Health Psychology, 17, 505–521.Google Scholar

McHugh, M. D. & Ma, C. (2014). Wage, work environment, and staffing: effects on nurse outcomes. Policy, Politics & Nursing Practice, 15, 72–80.Google Scholar

McHugh, M. D., Kutney-Lee, A., Cimiotti, J. P., Sloane, D. M. & Aiken, L. H. (2011). Nurses’ widespread job dissatisfaction, burnout, and frustration with health benefits signal problems for patient care. Health Affairs, 30, 202–210.Google Scholar

McKellar, J., Kelly, J., Harris, A. & Moos, R. H. (2006). Pretreatment and during treatment risk factors for dropout among patients with substance use disorders. Addictive Behaviors, 31, 450–460.Google Scholar

Moos, R. H. (2008). Work Environment Scale Manual (4th edn). Menlo Park, CA: Mind Garden.Google Scholar

Nadeau, K., Pinner, K., Murphy, K. & Belderson, K. M. (2016). Perceptions of a primary nursing care model in a pediatric hematology/oncology unit. Journal of Pediatric Oncology Nursing. PII: 1043454216631472.Google Scholar

Stone, P. W., Du, Y. & Gershon, M. T. (2007). Organizational climate and occupational health outcomes in hospital nurses. Journal of Occupational and Environmental Medicine, 49, 50–58.Google Scholar

Toh, S. G., Ang, E. & Devi, M. K. (2012). Systematic review on the relationship between the nursing shortage and job satisfaction, stress and burnout levels among nurses in oncology/haematology settings. International Journal of Evidence-Based Healthcare, 10, 126–141.CrossRefGoogle ScholarPubMed

Ulrich, B. T., Buerhaus, P. I., Donelan, K., Norman, L. & Dittus, R. (2007). Magnet status and registered nurse views of the work environment and nursing as a career. The Journal of Nursing Administration, 37, 212–220.CrossRefGoogle ScholarPubMed

Waschgler, K., Ruiz-Hernández, J. A., Llor-Esteban, B. & García-Izquierdo, M. (2013). Patients’ aggressive behaviours towards nurses: development and psychometric properties of the hospital aggressive behaviour scale – users. Journal of Advanced Nursing, 69, 1418–1427.CrossRefGoogle ScholarPubMed

Weaver, S. J., Dy, S. M. & Rosen, M. A. (2014). Team-training in healthcare: a narrative synthesis of the literature. BMJ Quality & Safety, 23, 359–372.CrossRefGoogle ScholarPubMed

Ajzen, I. (1991). The theory of planned behavior. Organizational Behaviour & Human Decision Processes, 50, 179–211.Google Scholar

Bandura, A. (2000). Health promotion from the perspective of social cognitive theory: understanding and changing health behaviour. In Norman, P., Abraham, C. & Conner, M. (eds). Health Beliefs to Self-Regulation. Amsterdam: Harwood.Google Scholar

Cane, J., O’Connor, D. & Michie, S. (2012). Validation of the theoretical domains framework for use in behaviour change and implementation research. Implementation Science, 7(1), 37.Google Scholar

Cane, J., Richardson, M., Johnston, M., Ladha, R. & Michie, S. (2015). From lists of behaviour change techniques (BCTs) to structured hierarchies: comparison of two methods of developing a hierarchy of BCTs. British Journal of Health Psychology, 20, 130–150.Google Scholar

Darzi, A. (2009). Time for revolutions: the role of clinicians in health care reform. New England Journal of Medicine, 361, e8.Google Scholar

Eccles, M., Grimshaw, J., Johnston, M., et al. (2007). Applying psychological theories to evidence-based clinical practice: identifying factors predictive of managing upper respiratory tract infections without antibiotics. Implementation Science, 2, 26.Google Scholar

Eccles, M. P., Armstrong, D., Baker, R., et al. (2009). An implementation research agenda. Implementation Science, 4(1), 1.Google Scholar

Evidence-Based Medicine Working Group. (1992). Evidence-based medicine: a new approach to teaching the practice of medicine. JAMA, 268(17), 2420–2425.Google Scholar

Francis, J. J., O’Connor, D. & Curran, J. (2012). Theories of behaviour change synthesised into a set of theoretical groupings: introducing a thematic series on the Theoretical Domains Framework. Implementation Science, 7, 35.Google Scholar

Gardner, B., Lally, P., Wardle, J. (2012). Making health habitual: the psychology of ‘habit-formation’ and general practice. British Journal of General Practice, 62(605), 664–666.Google Scholar

Gollwitzer, P. M. (1993). Goal achievement: the role of intentions. In Stroebe, W. & Hewstone, M. (eds), European Review of Social Psychology (pp. 141–185). Chichester: Wiley.Google Scholar

Gould, N. J., Lorencatto, F., Stanworth, S. J., et al. (2014). Application of theory to enhance audit and feedback interventions to increase the uptake of evidence-based transfusion practice: an intervention development protocol. Implementation Science, 9, 92.CrossRefGoogle ScholarPubMed

Grimshaw, J. M., Thomas, R. E., MacLennan, G., et al. (2004). Effectiveness and efficiency of guideline dissemination and implementation strategies. Health Technology Assessment, 8(6), 1–72.CrossRefGoogle ScholarPubMed

Grimshaw, J. M., Presseau, J., Tetroe, J., et al. (2014). Looking inside the black box: results of a theory-based process evaluation exploring the results of a randomised controlled trial of printed educational messages to increase primary care physicians’ diabetic retinopathy referrals. Implementation Science, 9, 86.Google Scholar

Grol, R. & Grimshaw, J. M. (1999). Evidence-based implementation of evidence-based medicine. Joint Commission Journal on Quality Improvement, 25(10), 503–513.Google Scholar

Kelley, H. H. & Michela, J. L. (1980). Attribution theory and research. Annual Review of Psychology, 31, 457–501.Google Scholar

Hartley, S., Foy, R., Walwyn, REA., et. al. (2017). The evaluation of enhanced feedback interventions to reduce unnecessary blood transfusions (AFFINITE): protocol for two linked cluster randomised factorial controlled trials. Implementation Science, 12(1): 84.Google Scholar

Leventhal, H., Nerenz, D. R. & Steele, D. J. (1984). Illness representations and coping with health threats. In Baum, A., Taylor, S.E. & Singer, J. E. (eds), Handbook of Psychology and Health (Vol. 4; pp. 219–252). Hillsdale, NJ: Erlbaum.Google Scholar

McIntyre, S., Francis, J., Gould, N., Lorencatto, F. (2017). Theory use in process evaluations alongside randomised trials targeting healthcare professional behaviour change: systematic review. European Health Psychologist, 19(S): 742.Google Scholar

Michie, S., Johnston, M., Abraham, C., et al. (2005). Making psychological theory useful for implementing evidence based practice: a consensus approach. Quality & Safety in Health Care, 14(1), 26–33.CrossRefGoogle ScholarPubMed

Michie, S., Johnston, M., Francis, J. J., Hardeman, W. & Eccles, M. P. (2008). From theory to intervention: mapping theoretically derived behavioural determinants to behaviour change techniques. Applied Psychology, 57, 660–680.Google Scholar

Moore, G. F., Audrey, S., Barker, M., et al. (2015). Process evaluation of complex interventions: Medical Research Council guidance. BMJ, 350, h1258.Google Scholar

Noar, S. & Zimmerman, R. (2005). Health behavior theory and cumulative knowledge regarding health behaviours: are we moving in the right direction? Health Education Research Theory & Practice, 20, 275–290.CrossRefGoogle ScholarPubMed

Presseau, J., Johnston, M., Heponiemi, T., et al. (2014a). Reflective and automatic processes in healthcare professional behavior: a dual process model tested across multiple behaviors.Annals of Behavioral Medicine, 48, 347–358.Google Scholar

Presseau, J., Hawthorne, G., Sniehotta, F. F., et al. (2014b). Improving Diabetes care through Examining, Advising, and prescribing (IDEA): protocol for a theory-based cluster randomised controlled trial of a multiple behaviour change intervention aimed at primary healthcare professionals. Implementation Science, 9, 61.Google Scholar

Presseau, J., Grimshaw, J. M., Tetroe, J. M., et al. (2016). A theory-based process evaluation alongside a randomized controlled trial of printed educational messages to increase primary care physicians’ prescription of thiazide diuretics for hypertension [ISRCTN72772651]. Implementation Science, 11, 121.Google Scholar

Sackett, D. L., Rosenberg, W. M., Gray, M. J. A., Haynes, R. B. & Richardson, W. S. (1996). Evidence based medicine: what it is and what it isn’t. BMJ, 312, 71.Google Scholar

Schuster, M. A., McGlynn, E. A. & Brook, R. H. (1998). How good is the quality of health care in the United States? Milbank Quarterly, 76, 517–563.CrossRefGoogle ScholarPubMed

Skinner, B. F. (1953). Science and Human Behaviour. New York: Simon & Schuster.Google Scholar

Strack, F. & Deutsch, R. (2004). Reflective and impulsive determinants of social behavior. Personality & Social Psychology Review, 8, 220–247.Google Scholar

Walker, A. E., Grimshaw, J. M. & Armstrong, E. M. (2001). Salient beliefs and intentions to prescribe antibiotics for patients with a sore throat. British Journal of Health Psychology, 6, 347–360.Google Scholar

Walker, A. E., Grimshaw, J., Johnston, M., et al. (2003). PRIME – PRocess modelling in ImpleMEntation research: selecting a theoretical basis for interventions to change clinical practice. BMC Health Services Research, 3, 22.Google Scholar

Weiss, C. H. (1997). How can theory-based evaluation make greater headway? Evaluation Review, 21(4), 501–524.Google Scholar

Zwarenstein, M., Shiller, S. K., Croxford, R., et al. (2014). Printed educational messages aimed at family practitioners fail to increase retinal screening among their patients with diabetes: a pragmatic cluster randomized controlled trial. Implementation Science, 9, 87.CrossRefGoogle ScholarPubMed

Zwarenstein, M., Grimshaw, J. M., Presseau, J., et al. (2016). Printed educational messages fail to increase use of thiazides as first-line medication for hypertension: a cluster randomized controlled trial [ISRCTN72772651]. Implementation Science, 11, 124.Google Scholar

Baron, J. (2004). Normative models of judgment and decision making. In Koehler, D. J. & Harvey, N. (eds), Blackwell Handbook of Judgment and Decision Making (pp. 19–36). Malden, MA: Blackwell Publishing.Google Scholar

Berns, G. S., Laibson, D. & Loewenstein, G. (2007). Intertemporal choice: toward an integrative framework. Trends in Cognitive Sciences, 11(11), 482–488. DOI: http://dx.doi.org/10.1016/j.tics.2007.08.011.Google Scholar

Bhargava, S. & Loewenstein, G. (2015). Choosing a health insurance plan: complexity and consequences. JAMA, 314(23), 2505–2506. DOI: 10.1001/jama.2015.15176.Google Scholar

Chapman, G. B., Li, M., Vietri, J., et al. (2012). Using game theory to examine incentives in influenza vaccination behavior. Psychological Science, 23(9), 1008–1015. DOI: 10.1177/0956797612437606.Google Scholar

Colby, H., DeWitt, J. & Chapman, G. B. (2015). Grouping promotes equality: the effect of recipient grouping on allocation of limited medical resources. Psychological Science. DOI: 10.1177/0956797615583978.Google Scholar

Dayan, E. & Bar-Hillel, M. (2011). Nudge to nobesity II: menu positions influence food orders. Judgment and Decision Making, 6(4), 333–342.Google Scholar

Downs, J. S., Loewenstein, G. & Wisdom, J. (2009). Strategies for promoting healthier food choices. American Economic Review, 99(2), 159–164. DOI: 10.1257/aer.99.2.159.Google Scholar

Frederick, S., Loewenstein, G. & O’Donoghue, T. (2002). Time discounting and time preference: a critical review. Journal of Economic Literature, 40(2), 351–401.Google Scholar

Galvani, A. P., Reluga, T. C. & Chapman, G. B. (2007). Long-standing influenza vaccination policy is in accord with individual self-interest but not with the utilitarian optimum. Proceedings of the National Academy of Sciences, 104(13), 5692–5697. DOI: 10.1073/pnas.0606774104.CrossRefGoogle Scholar

Gurmankin, A. D., Baron, J., Hershey, J. C. & Ubel, P. A. (2002). The role of physicians’ recommendations in medical treatment decisions. Medical Decision Making, 22(3), 262–271. DOI: 10.1177/0272989x0202200314.Google Scholar

Johnson, E., Shu, S., Dellaert, B., et al. (2012). Beyond nudges: tools of a choice architecture. Marketing Letters, 23(2), 487–504. DOI: 10.1007/s11002-012-9186-1.Google Scholar

Johnson, E., Hassin, R., Baker, T., Bajger, A. & Treuer, G. (2013). Can consumers make affordable care affordable? The value of choice architecture. PLoS One, 8(12), e81521.Google Scholar

Kahneman, D. & Tversky, A. (1979). Prospect theory: an analysis of decision under risk. Econometrica: Journal of the Econometric Society, 47, 263–291. DOI: 10.2307/1914185.Google Scholar

Li, M., & DeWitt, J. (2017). Equality by Principle, Efficiency by Practice: How Policy Description Affects Allocation Preference. In Li, M. & Tracer, D. P. (Eds.), Interdisciplinary Perspectives on Fairness, Equity, and Justice (pp. 67–91). Cham: Springer International PublishingGoogle Scholar

Li, M. & Chapman, G. B. (2009). ‘100% of anything looks good’: the appeal of one hundred percent. Psychonomic Bulletin & Review, 16(1), 156–162. DOI: 10.3758/pbr.16.1.156.Google Scholar

Li, M. & Chapman, G. B. (2013). A big fish or a small pond? Framing effects in percentages. Organizational Behavior and Human Decision Processes, 122(2), 190–199. DOI: 10.1016/j.obhdp.2013.07.003.CrossRefGoogle Scholar

Li, M. & Chapman, G. B. (in press). Medical Decision Making. Wiley Encyclopedia of Health Psychology. Hoboken, NJ: Wiley.Google Scholar

Li, M., Taylor, E. G., Atkins, K. E., Chapman, G. B. & Galvani, A. P. (2016). Stimulating influenza vaccination via prosocial motives. PLoS One, 11(7), e0159780.Google Scholar

Lipkus, I. M., Samsa, G. & Rimer, B. K. (2001). General performance on a numeracy scale among highly educated samples. Medical Decision Making, 21(1), 37–44. DOI: 10.1177/0272989x0102100105.Google Scholar

McWilliams, J. M., Afendulis, C. C., McGuire, T. G. & Landon, B. E. (2011). Complex Medicare advantage choices may overwhelm seniors – especially those with impaired decision making. Health Affairs. DOI: 10.1377/hlthaff.2011.0132.Google Scholar

Milkman, K. L., Minson, J. A. & Volpp, K. G. M. (2014). Holding the hunger games hostage at the gym: an evaluation of temptation bundling. Management Science, 60(2), 283–299. DOI: 10.1287/mnsc.2013.1784.Google Scholar

Moyer, V. A. (2012). What we don’t know can hurt our patients: physician innumeracy and overuse of screening tests. Annals of Internal Medicine, 156(5), 392–393. DOI: 10.7326/0003-4819-156–5-201203060-00015.Google Scholar

Over, D. (2004). Rationality and the normative/descriptive distinction. In Koehler, D. J. & Harvey, N. (eds), Blackwell Handbook of Judgment and Decision Making (pp. 3–18). Malden, MA: Blackwell Publishing.Google Scholar

Persad, G., Wertheimer, A. & Emanuel, E. J. (2009). Principles for allocation of scarce medical interventions. Lancet, 373(9661), 423–431.Google Scholar

Peters, E., Västfjäll, D., Slovic, P., et al. (2006). Numeracy and decision making. Psychological Science, 17(5), 407. DOI: 10.1111/j.1467-9280.2006.01720.x.Google Scholar

Reyna, V. F., Nelson, W. L., Han, P. K. & Dieckmann, N. F. (2009). How numeracy influences risk comprehension and medical decision making. Psychological Bulletin, 135(6), 943–973. DOI: 10.1037/a0017327.Google Scholar

Rogers, T., Milkman, K. L. & Volpp, K. G. (2014). Commitment devices: using initiatives to change behavior. JAMA, 311(20), 2065–2066. DOI: 10.1001/jama.2014.3485.Google Scholar

Rozin, P., Scott, S., Dingley, M., et al. (2011). Nudge to nobesity I: minor changes in accessibility decrease food intake. Judgment and Decision Making, 6(4), 323–332.Google Scholar

Sheridan, S. L. & Pignone, M. (2002). Numeracy and the medical student’s ability to interpret data. Effective Clinical Practice, 5(1), 35–40.Google Scholar

Slovic, P. (1995). The construction of preference. American Psychologist, 50(5), 364–371. DOI: 10.1037/0003-066x.50.5.364.Google Scholar

Slovic, P., Fischhoff, B. & Lichtenstein, S. (1982). Response mode, framing, and information-processing effects in risk assessment. In Hogarth, R. (ed.), New Directions for Methodology of Social and Behavioral Science: Question Framing and Response Consistency (pp. 21–36). San Francisco, CA: Jossey-Bass.Google Scholar

Thaler, R. H. & Sunstein, C. R. (2008). Nudge: Improving Decisions About Health, Wealth, and Happiness. New Haven, CT: Yale University Press.Google Scholar

Thorndike, A. N., Sonnenberg, L., Riis, J., Barraclough, S. & Levy, D. E. (2012). A 2-phase labeling and choice architecture intervention to improve healthy food and beverage choices. American Journal of Public Health, 102(3), 527–533. DOI: 10.2105/AJPH.2011.300391.Google Scholar

Tversky, A. & Kahneman, D. (1992). Advances in prospect theory: cumulative representation of uncertainty. Journal of Risk and Uncertainty, 5(4), 297–323.Google Scholar

Ubel, P. A., Baron, J. & Asch, D. A. (2001). Preference for equity as a framing effect. Medical Decision Making, 21(3), 180–189. DOI: 10.1177/0272989x0102100303.Google Scholar

Ubel, P. A., Angott, A. M. & Zikmund-Fisher, B. J. (2011). Physicians recommend different treatments for patients than they would choose for themselves. Archives of Internal Medicine, 171(7), 630–634.CrossRefGoogle ScholarPubMed

Volpp, K. G., John, L. K., Troxel, A. B., et al. (2008). Financial incentive-based approaches for weight loss: a randomized trial. JAMA, 300(22), 2631–2637. DOI: 10.1001/jama.2008.804.Google Scholar

Volpp, K. G., Troxel, A. B., Pauly, M. V., et al. (2009). A randomized, controlled trial of financial incentives for smoking cessation. New England Journal of Medicine, 360(7), 699–709. DOI: 10.1056/NEJMsa0806819.Google Scholar

Warren, C., McGraw, A. P. & Van Boven, L. (2011). Values and preferences: defining preference construction. Wiley Interdisciplinary Reviews: Cognitive Science, 2(2), 193–205. DOI: 10.1002/wcs.98.Google Scholar

Waters, E. A., Weinstein, N. D., Colditz, G. A. & Emmons, K. M. (2007a). Aversion to side effects in preventive medical treatment decisions. British Journal of Health Psychology, 12(Pt 3), 383–401. DOI: 10.1348/135910706x115209.Google Scholar

Waters, E. A., Weinstein, N. D., Colditz, G. A. & Emmons, K. M. (2007b). Reducing aversion to side effects in preventive medical treatment decisions. Journal of Experimental Psychology: Applied, 13(1), 11–21. DOI: 10.1037/1076-898X.13.1.11.Google Scholar

Wegwarth, O. & Gigerenzer, G. (2013). Overdiagnosis and overtreatment: evaluation of what physicians tell their patients about screening harms. JAMA Internal Medicine, 173(22), 2086–2087. DOI: 10.1001/jamainternmed.2013.10363.Google Scholar

Wegwarth, O., Schwartz, L. M., Woloshin, S., Gaissmaier, W. & Gigerenzer, G. (2012). Do physicians understand cancer screening statistics? A national survey of primary care physicians in the United States. Annals of Internal Medicine, 156(5), 340–349.Google Scholar

Zikmund-Fisher, B. J., Sarr, B., Fagerlin, A. & Ubel, P. A. (2006). A matter of perspective: choosing for others differs from choosing for yourself in making treatment decisions. Journal of General Internal Medicine, 21(6), 618–622. DOI: 10.1111/j.1525-1497.2006.00410.x.Google Scholar

Angelini, D. J. (2011). Interdisciplinary and interprofessional education: what are the key issues and considerations for the future? The Journal of Perinatal & Neonatal Nursing, 25(2), 175–179. http://doi.org/10.1097/JPN.0b013e318212ee7a.Google Scholar

Atwal, A. & Caldwell, K. (2006). Nurses’ perceptions of multidisciplinary team work in acute health-care. International Journal of Nursing Practice, 12(6), 359–365. http://doi.org/10.1111/j.1440–172X.2006.00595.x.Google Scholar

Atwal, A., Tattersall, K., Caldwell, K. & Craik, C. (2006). Multidisciplinary perceptions of the role of nurses and healthcare assistants in rehabilitation of older adults in acute health care. Journal of Clinical Nursing, 15(11), 1418–1425.CrossRefGoogle ScholarPubMed

Awad, S. S., Fagan, S. P., Bellows, C., et al. (2005). Bridging the communication gap in the operating room with medical team training. American Journal of Surgery, 190(5), 770–774. http://doi.org/10.1016/j.amjsurg.2005.07.018.Google Scholar

Baker, D. P., Day, R. & Salas, E. (2006). Teamwork as an essential component of high-reliability organizations. Health Services Research, 41(4 Pt 2), 1576–1598. https://doi.org/10.1111/j.1475–6773.2006.00566.x.Google Scholar

Berlin, J. M., Carlström, E. D. & Sandberg, H. S. (2012). Models of teamwork: ideal or not? A critical study of theoretical team models. Team Performance Management: An International Journal, 18(5/6), 328–340. http://doi.org/10.1108/13527591211251096.Google Scholar

Blackwood, B. (2006). Methodological issues in evaluating complex healthcare interventions. Journal of Advanced Nursing, 54(5), 612–622. https://doi.org/10.1111/j.1365-2648.2006.03869.xGoogle Scholar

Bleakley, A. (2006). Broadening conceptions of learning in medical education: the message from teamworking. Medical Education, 40(2), 150–157. http://doi.org/10.1111/j.1365-2929.2005.02371.x.Google Scholar

Brown, C., Hofer, T., Johal, A., et al. (2008). An epistemology of patient safety research: a framework for study design and interpretation. Part 1. Conceptualising and developing interventions. Quality & Safety in Health Care, 17(3), 158–162. https://doi.org/10.1136/qshc.2007.023630.Google Scholar

Buljac-Samardzic, M., Dekker-van Doorn, C. M., van Wijngaarden, J. D. H. & van Wijk, K. P. (2010). Interventions to improve team effectiveness: a systematic review. Health Policy (Amsterdam, Netherlands), 94(3), 183–195. http://doi.org/10.1016/j.healthpol.2009.09.015.Google Scholar

Deneckere, S., Robyns, N., Vanhaecht, K., et al. (2011). Indicators for follow-up of multidisciplinary teamwork in care processes: results of an international expert panel. Evaluation & the Health Professions, 34(3), 258–277. http://doi.org/10.1177/0163278710393736.Google Scholar

Denton, H. G. (1997). Multidisciplinary team-based project work: planning factors. Design Studies, 18(2), 155–170. http://doi.org/10.1016/S0142-694X(97)85458-0.Google Scholar

Donetto, S., Pierri, P., Tsianakas, V. & Robert, G. (2015). Experience based co-design and healthcare improvement: realizing participatory design in the public sector. The Design Journal, 18(2), 227–248. DOI: 10.2752/175630615X14212498964312.Google Scholar

Doyle, J. (2008). Barriers and facilitators of multidisciplinary team working: a review. Paediatric Nursing, 20(2), 26–29.Google Scholar

Duhigg, C. (2016, 25 February). What Google learned from its quest to build the perfect team. New York Times. www.nytimes.com/2016/02/28/magazine/what-google-learned-from-its-quest-to-build-the-perfect-team.html.Google Scholar

Edmondson, A. C. & Lei, Z. (2014). Psychological safety: the history, renaissance, and future of an interpersonal construct. Annual Review of Organizational Psychology and Organizational Behavior, 1(1), 23–43. http://doi.org/10.1146/annurev-orgpsych-031413-091305.Google Scholar

Fleissig, A., Jenkins, V., Catt, S. & Fallowfield, L. (2006). Multidisciplinary teams in cancer care: are they effective in the UK? Lancet: Oncology, 7(11), 935–943. http://doi.org/10.1016/S1470-2045(06)70940-8.Google Scholar

Grumbach, K. & Bodenheimer, T. (2004). Can health care teams improve primary care practice? JAMA, 291(10), 1246–1251. http://doi.org/10.1001/jama.291.10.1246.Google Scholar

Institute of Medicine. (2003). Health Professions Education: A Bridge to Quality. Washington, DC: National Academies Press.Google Scholar

King, H. B., Battles, J., Baker, D. P., et al. (2008). TeamSTEPPS(TM): team strategies and tools to enhance performance and patient safety. In Henriksen, K., Battles, J. B., Keyes, M. A. & Grady, M. L. (eds), Advances in Patient Safety: New Directions and Alternative Approaches (Vol. 3). Rockville, MD: Agency for Healthcare Research and Quality. www.ncbi.nlm.nih.gov/books/NBK43686.Google Scholar

Knox, G. E. & Simpson, K. R. (2004).Teamwork: the fundamental building block of high-reliability organizations and patient safety. In: Youngberg, B. J. & Hatlie, M. J. (eds.), Patient Safety Handbook (pp. 379–415). Boston, MA: Jones and Bartlett.Google Scholar

Koerner, M. (2011). Mental strain among staff at medical rehabilitation clinics in Germany. GMS Psycho-Social-Medicine, 8. http://doi.org/10.3205/psm000070.Google Scholar

Körner, M. (2010). Interprofessional teamwork in medical rehabilitation: a comparison of multidisciplinary and interdisciplinary team approach. Clinical Rehabilitation, 24(8), 745–755. http://doi.org/10.1177/0269215510367538.Google Scholar

Körner, M., Bütof, S., Müller, C., et al. (2016). Interprofessional teamwork and team interventions in chronic care: a systematic review. Journal of Interprofessional Care, 30(1), 15–28. http://doi.org/10.3109/13561820.2015.1051616.Google Scholar

Lamb, B. W., Taylor, C., Lamb, J. N., et al. (2013). Facilitators and barriers to teamworking and patient centeredness in multidisciplinary cancer teams: findings of a national study. Annals of Surgical Oncology, 20(5), 1408–1416. http://doi.org/10.1245/s10434-012–2676-9.Google Scholar

Lemieux-Charles, L. & McGuire, W. L. (2006). What do we know about health care team effectiveness? A review of the literature. Medical Care Research and Review, 63(3), 263–300. http://doi.org/10.1177/1077558706287003.Google Scholar

Manser, T. (2009). Teamwork and patient safety in dynamic domains of healthcare: a review of the literature. Acta Anaesthesiologica Scandinavica, 53(2), 143–151. http://doi.org/10.1111/j.1399-6576.2008.01717.x.Google Scholar

Mathieu, J., Maynard, M. T., Rapp, T. & Gilson, L. (2008). Team effectiveness 1997–2007: a review of recent advancements and a glimpse into the future. Journal of Management, 34(3), 410–476. http://doi.org/10.1177/0149206308316061.Google Scholar

Nancarrow, S. A., Booth, A., Ariss, S., et al. (2013). Ten principles of good interdisciplinary team work. Human Resources for Health, 11, 19. http://doi.org/10.1186/1478-4491-11-19.Google Scholar

O’Leary, K. J., Sehgal, N. L., Terrell, G., Williams, M. V. & High Performance Teams and the Hospital of the Future Project Team. (2012). Interdisciplinary teamwork in hospitals: a review and practical recommendations for improvement. Journal of Hospital Medicine, 7(1), 48–54. http://doi.org/10.1002/jhm.970.Google Scholar

Osabiya, B. J. (2015). The effect of employees’ motivation on organizational performance. Journal of Public Administration and Policy Research, 7(4), 62–75. http://doi.org/10.5897/JPAPR2014.0300.Google Scholar

Salas, E., Burke, C. S. & Cannon-Bowers, J. A. (2000). Teamwork: emerging principles. International Journal of Management Reviews, 2(4), 339–356. http://doi.org/10.1111/1468-2370.00046.Google Scholar

Salas, E., DiazGranados, D., Weaver, S. J. & King, H. (2008). Does team training work? Principles for health care. Academic Emergency Medicine, 15(11), 1002–1009. http://doi.org/10.1111/j.1553–2712.2008.00254.x.Google Scholar

Salas, E., Gregory, M. E. & King, H. B. (2011). Team training can enhance patient safety: the data, the challenge ahead. Joint Commission Journal on Quality and Patient Safety/Joint Commission Resources, 37(8), 339–340.Google Scholar

Sandberg, H. (2004). University continuing education as teamwork: three case studies. Journal of Adult and Continuing Education, 10(2), 114–134. http://doi.org/10.7227/JACE.10.2.3.Google Scholar

Weaver, S. J., Rosen, M. A., DiazGranados, D., et al. (2010). Does teamwork improve performance in the operating room? A multilevel evaluation. Joint Commission Journal on Quality and Patient Safety/Joint Commission Resources, 36(3), 133–142.Google Scholar

Weinberg, J. B., White, W. W., Karacal, C., Engel, G. & Hu, A.-P. (2005). Multidisciplinary teamwork in a robotics course. In Proceedings of the 36th SIGCSE Technical Symposium on Computer Science Education (pp. 446–450). New York: ACM. http://doi.org/10.1145/1047344.1047488.Google Scholar

Xyrichis, A. & Lowton, K. (2008). What fosters or prevents interprofessional teamworking in primary and community care? A literature review. International Journal of Nursing Studies, 45(1), 140–153. http://doi.org/10.1016/j.ijnurstu.2007.01.015.Google Scholar

Xyrichis, A. & Ream, E. (2008). Teamwork: a concept analysis. Journal of Advanced Nursing, 61(2), 232–241. http://doi.org/10.1111/j.1365–2648.2007.04496.x.Google Scholar

Zwarenstein, M., Goldman, J. & Reeves, S. (2009). Interprofessional collaboration: effects of practice-based interventions on professional practice and healthcare outcomes. Cochrane Database of Systematic Reviews. 3, CD000072. DOI: 10.1002/14651858.CD000072.pub2.Google Scholar

Arnstein, S. R. (1969). A ladder of citizen participation. JAIP, 35(4), 216–224. http://dx.doi.org/10.1080/01944366908977225.Google Scholar

Beresford, P. (2013). Beyond the Usual Suspects. London: Shaping Our LivesGoogle Scholar

Boutin, M., Dewulf, L., Hoos, A., et al. (2017). Culture and process change as a priority for patient engagement in medicines development. Therapeutic Innovation & Regulatory Science, 51(1), 29–38. DOI: 10.1177/2168479016659104.Google Scholar

Brett, J., Staniszewska, S., Mockford, C., et al. (2014). A systematic review of the impact of patient and public involvement on service users, researchers and communities. Patient, 7(4), 387–395. DOI: 10.1007/s40271-014-0065-0.Google Scholar

Brisolara, S. (1998). The history of participatory evaluation and current debates in the field. New Directions for Evaluation, 80, 25–41.Google Scholar

Cowden, S. & Singh, G. (2007). The ‘user’: friend, foe or fetish? A critical exploration of user involvement in health and social care. Critical Social Policy, 27(1), 5–23.Google Scholar

Department of Health (2006). The National Health Service Act 2006. www.legislation.gov.uk/ukpga/2006/41/part/12/enacted (accessed 26 March 2018).Google Scholar

Department of Health (2012). The NHS Constitution 2012. www.gov.uk/government/uploads/system/uploads/attachment_data/file/480482/NHS_Constitution_WEB.pdf (accessed 26 March 2018).Google Scholar

Edelman, N. & Barron, D. (2016). Evaluation of public involvement in research: time for a major re-think? Journal of Health Services Research & Policy, 21(3) 209–211. DOI: 10.1177/1355819615612510.Google Scholar

Epstein, S. (1996). Impure Science: AIDS, Activism, and the Politics of Knowledge (Vol. 7). Berkeley, CA: University of California Press.Google Scholar

European Patient Ambassador Programme (2017). Home page. www.EPAPonline.eu (accessed 8 March 2017).Google Scholar

European Patient Forum (2018). The European Patients Academy on Therapeutic Interventions (EUPATI). www.eu-patient.eu/whatwedo/Projects/EUPATI (accessed 26 March 2018).Google Scholar

Evans, D., Coad, J., Cottrell, K., et al. (2014). Public involvement in research: assessing impact through a realist evaluation. Health Service Delivery Research. 2(36). DOI: 10.3310/hsdr02360.Google Scholar

Forbat, L., Hubbard, G. & Kearney, N. (2009). Patient and public involvement: models and muddles. Journal of Clinical Nursing, 18, 2547–2554.Google Scholar

Hardavella, G., Bjerg, A., Saad, N., et al. (2015) Doing science: how to optimise patient and public involvement in your research. Breathe, 11, 223–227.Google Scholar

Health Research Authority (2017). UK policy framework for health and social care research. www.hra.nhs.uk/documents/1068/uk-policy-framework-health-social-care-research.pdf (Accessed 26 March 2018).Google Scholar

Health Research Authority/INVOLVE (2016). Public involvement in research and research ethics committee review. www.hra.nhs.uk/documents/2016/05/hra-involve-updated-statement-2016.pdf (Accessed 26 March 2018).Google Scholar

Healthtalk (2017). What is patient and public involvement (‘PPI’) in research? Why does it matter? www.healthtalk.org/peoples-experiences/improving-health-care/patient-and-public-involvement-research/what-patient-and-public-involvement-and-why-it-important (accessed 29 March 2018).Google Scholar

Iap2.org (2018). The core values of the International Association for Public Participation. www.iap2.org/?page=A4 (accessed 26 March 2018).Google Scholar

INVOLVE (2017a) Involvement cost calculator, www.invo.org.uk/resource-centre/payment-and-recognition-for-public-involvement/involvement-cost-calculator/ (accessed 5 March 2017).Google Scholar

INVOLVE (2017b) INVOLVE resources: find out more – how to involve people in research www.invo.org.uk/find-out-more (accessed 5 March 2017).Google Scholar

Ives, J., Damery, S. & Redwod, S. (2012). PPI, paradoxes and Plato: who’s sailing the ship? Journal of Medical Ethics. http://dx.doi.org/10.1136/medethics-2011-100150Google Scholar

Jinks, C., Carter, P., Rhodes, C., Taylor, R., et al. (2016). Patient and public involvement in primary care research: an example of ensuring its sustainability. Research Involvement and Engagement, 2, 1. DOI: 10.1186/s40900-016-0015-1.Google Scholar

Kennedy Report (2001). The Report of the Public Inquiry into Children’s Heart Surgery at the Bristol Royal Infirmary 1984–1995: Learning from Bristol. http://webarchive.nationalarchives.gov.uk/20090811143745/http://www.bristol-inquiry.org.uk/index.htm (accessed 8 March 2017).Google Scholar

Kerr, A., Cunningham-Burley, S., & Tutton, R. (2007). Shifting subject positions: experts and lay people in public dialogue. Social Studies of Science, 37(3), 385–411.Google Scholar

Larkin, M. (2009). Vulnerable Groups in Health and Social Care. London: Sage.Google Scholar

Mathie, E., Wilson, P., Poland, F., et al. (2014). Consumer involvement in health research: a UK scoping and survey. International Journal of Consumer Studies, 38(1), 35–44.Google Scholar

McLaughlin, H. (2009). What’s in a name: client, patient, customer, consumer, expert by experience, service user – what’s next? British Journal of Social Work, 19(6), 1101–1117. DOI: 10.1093/bjsw/bcm155.Google Scholar

Mockford, C., Staniszewska, S., Griffiths, F. & Herron-Marx, S. (2011). The impact of patient and public involvement on UK NHS health care: a systematic review. International Journal for Quality in Health Care. DOI: 10.1093/intqhc/mzr066.Google Scholar

National Institute for Health Research (2015). Going the extra mile: improving the nation’s health and wellbeing through public involvement in research. www.nihr.ac.uk/patients-and-public/documents/Going-the-Extra-Mile.pdf (accessed 26 March 2018).Google Scholar

National Institute for Health Research (2018). Role of a patient research ambassador. www.nihr.ac.uk/patients-and-public/how-to-join-in/patient-research-ambassadors/the-role-of-patient-research-ambassadors.htm (accessed 24 March 2018).Google Scholar

NHS England (2016). Bite size guide 07: Diverse and inclusive participation. www.england.nhs.uk/wp-content/uploads/2016/07/bitesize-guide-divers-inclusive.pdf (accessed 4 March 2017).Google Scholar

NHS England (2017). Involvement hub. www.england.nhs.uk/participation (accessed 4 March 2017).Google Scholar

Ocloo, E. & Fulop, N. (2011). Developing a critical approach to patient and public involvement in patient safety in the NHS: learning lessons from other parts of the public sector? Health Expectations, 15, 424–432.Google Scholar

Ocloo, J. & Matthews, R. (2015). From tokenism to empowerment: progressing patient and public involvement in healthcare improvement. BMJ, Quality and Safety. DOI: 10.1136/bmjqs-2015-004839.Google Scholar

Pandya-Wood, R. & Robinson, A. (2014). Involvement in your research. In Walker, D. (ed.), An Introduction to Health Services Research: A Practical Guide (p. 253). London: Sage.Google Scholar

Patient Experience Library (2016). Health and public engagement: an overview. Available at: www.wessexvoices.org/uploads/9/2/1/6/92161062/patient_experience_library_health_and_engagement_overview.pdf (accessed 24 March 2018).Google Scholar

People in Research (2017). Opportunities for public involvement in NHS, public health and social care research. www.peopleinresearch.org (accessed 8 March 2017).Google Scholar

Rowland, P., McMillan, S., McGillicuddy, P. & Richards, J. (2017). What is ‘the patient perspective’ in patient engagement programs? Implicit logics and parallels to feminist theories. Health, 21(1):76–92. DOI: 10.1177/1363459316644494.Google Scholar

Saunders, C. & Girgis, A. (2010). Status, challenges and facilitators of consumer involvement in Australian health and medical research. Health Research Policy and Systems, 8(1), 34.Google Scholar

Savory, C. (2010). Patient and public involvement in translative healthcare research. Clinical Governance: An International Journal, 15(3), 191–199.Google Scholar

Snape, D., Kirkham, J., Britten, N., et al. (2014). Exploring perceived barriers, drivers, impacts and the need for evaluation of public involvement in health and social care research: a modified Delphi study. BMJ Open, 4(6).Google Scholar

Spires, J. (2000) New perspectives on vulnerability using emic and etic approaches. Journal of Advanced Nursing, 31(3), 715–721.Google Scholar

Staley, K. (2009) Exploring Impact: Public Involvement in NHS, Public Health and Social Care Research. Eastleigh: INVOLVE.Google Scholar

Staniszewska, S., Brett, J., Mockford, C. & Barber, R. (2011). The GRIPP checklist: strengthening the quality of patient and public involvement reporting in research. International Journal of Technology Assessment in Health Care. 27(4), 391–399.Google Scholar

Tritter, J. Q., (2009). Revolution or evolution: the challenges of conceptualizing patient and public involvement in a consumerist world. Health Expectations, 12(3), 275–287.Google Scholar

Wale, J., Colombo, C., Belizan, M. & Nadel, J. (2010). International health consumers in the Cochrane Collaboration: fifteen years on. Journal of Ambulatory Care Management, 33(3), 182–189.Google Scholar

Walker, D. M. & Pandya-Wood, R. (2015). Can research development bursaries for patient and public involvement have a positive impact on grant applications? A UK-based, small-scale service evaluation. Health Expectations, 18: 1474–1480. DOI: 10.1111/hex.12127.Google Scholar

Walshe, K. & Shortell, S. M. (2004). When things go wrong: how health care organisations deal with major failures. Health Affairs, 23(3), 103–111.Google Scholar

Williamson, C. (2001). What does involving consumers in research mean? Quarterly Journal of Medicine, 94(12), 661–664.Google Scholar

World Health Organization (1978) Declaration of Alma-Ata, International Conference on Primary Health Care, Alma-Ata, USSR, 6–12, September 1978. www.who.int/publications/almaata_declaration_en.pdf (accessed 8 March 2017).Google Scholar

Aiken, L. H., Clarke, S. P., Sloane, D. M., et al. (2001). Nurses’ reports on hospital care in five countries. Health Affairs, 20, 43–53.Google Scholar

Alexandrova-Karamanova, A., Todorova, I., Montgomery, A., et al. (2016). Burnout and health behaviors in health professionals from seven European countries. International Archives of Occupational and Environmental Health, 89, 1059–75. DOI 10.1007/s00420-016-1143-5.Google Scholar

Aronsson, G., Gustafsson, K. & Dallner, M. (2000). Sick but yet at work: an empirical study of sickness presenteeism. Journal of Epidemiology Community Health, 54, 502–509.Google Scholar

Bakhshi, S. & While, A. E. (2014). Health professionals’ alcohol-related professional practices and the relationship between their personal alcohol attitudes and behavior and professional practices: a systematic review. International Journal of Environmental Research in Public Health, 11, 218–248. DOI: 10.3390/ijerph110100218.Google Scholar

Baldisseri, M. R. (2007). Impaired healthcare professional. Critical Care Medicine, 35 [Suppl.], S106–S116.Google Scholar

Burke, R. J. & Greenglass, E. R. (2001). Hospital restructuring, work–family conflict and psychological burnout among nursing staff. Psychology and Health, 16, 583–594.Google Scholar

Center, C., Davis, M., Detre, T., et al. (2003). Confronting depression and suicide in physicians: a consensus statement. Journal of the American Medical Association, 289, 3161–3166.Google Scholar

Christian, M. S., Garza, A. S. & Slaughter, J. E. (2011). Work engagement: a quantitative review and test of its relations with task and contextual performance. Personnel Psychology, 64, 89–136.Google Scholar

Dyrbye, L., Massie, F. S., Eacker, A., et al. (2010). Relationship between burnout and professional conduct and attitudes among US medical students. Journal of the American Medical Association, 304, 1171–1180.Google Scholar

Fahrenkopf, A. M., Sectish, T. C., Barger, L. K., et al. (2008). Rates of medication errors among depressed and burnt out residents: prospective cohort study. British Medical Journal, 336, 488–491.Google Scholar

Fie, S., Norman, I. J. & While, A. E. (2013). The relationship between physicians’ and nurses’ personal physical activity habits and their health-promotion practice: a systematic review. Health Education Journal, 72:102–119.Google Scholar

Goitein, L., Shanafelt, T. D., Wipf, J. E., Slatore, C. G. & Back, A. L. (2005). The effects of work-hour limitations on resident well being, patient care, and education in an internal medicine residency program. Archives of Internal Medicine, 165, 2601–2606.Google Scholar

Haas, J. S., Cook, E. F., Puopolo, A. L., et al. (2000). Is the professional satisfaction of general internists associated with patient satisfaction? Journal of General Internal Medicine, 15, 122–128.Google Scholar

Halbesleben, J. R. & Rathert, C. (2008). Linking physician burnout and patient outcomes: exploring the dyadic relationship between physicians and patients. Health Care Management Review, 33, 29–39.Google Scholar

Hooper, C., Craig, J., Janvrin, D. R., Wetsel, M. A. & Reimels, E. (2010). Compassion satisfaction, burnout, and compassion fatigue among emergency nurses compared with nurses in other selected inpatient specialties. Journal of Emergency Nursing, 36, 420–427.Google Scholar

Imai, H., Nakao, H., Tsuchiya, M., Kuroda, Y. & Katoh, T. (2004). Burnout and work environments of public health nurses involved in mental health care. Occupational and Environmental Medicine, 61, 764–768.Google Scholar

Jones, J. W., Barge, B. N., Steffy, B. D., et al. (1988). Stress and medical malpractice: organizational risk assessment and intervention. Journal of Applied Psychology, 73, 727–735.Google Scholar

Katz, D. & Allport, F. H. (1931). Students Attitudes: A Report from Syracuse University Research Study. Syracuse, NY: Craftsman.Google Scholar

Laschinger, H. K. & Fida, R. (2014). New nurses burnout and workplace wellbeing: the influence of authentic leadership and psychological capital. Burnout Research, 1(1), 19–28.Google Scholar

Laschinger, H. K., Leiter, M. P., Day, A., Gilin-Oore, D. & Mackinnon, S. P. (2012). Building empowering work environments that foster civility and organizational trust: testing an intervention. Nursing Research, 61, 316–325.Google Scholar

Le Blanc, P. M., Hox, J. J., Schaufeli, W. B., Taris, T. W. & Peeters, M. C. W. (2007). Take care! The evaluation of a team-based burnout intervention program for oncology care providers. Journal of Applied Psychology, 92(1), 213–227.Google Scholar

Leiter, M. P. & Maslach, C. (2004). Areas of worklife: a structured approach to organizational predictors of job burnout. In Perrewe, P. L. & Ganster, D. C. (eds), Research in Occupational Stress and Well-Being (Vol. 3; pp. 91–134). Oxford: Elsevier.Google Scholar

Leiter, M. P., Day, A., Oore, D. G., & Spence Laschinger, H. K. (2012). Getting better and staying better: Assessing civility, incivility, distress, and job attitudes one year after a civility intervention. Journal of Occupational Health Psychology, 17(4), 425–434.Google Scholar

Lemaire, J. B., Wallace, J. E., Ghali, W. A., et al. (2014). Exploring the dimensions of the medical teaching unit physician preceptor role. In Abstract Book (p. 352). Association for Medical Education in Europe (AMEE) 2014 Annual Conference.Google Scholar

Maslach, C. & Leiter, M. P. (2008). Early predictors of job burnout and engagement. Journal of Applied Psychology, 93, 498–512.Google Scholar

Maslach, C. & Leiter, M. P. (2016). Understanding the burnout experience: recent research and its implications for psychiatry. World Psychiatry, 15, 103–111.Google Scholar

Maslach, C. & Leiter, M. P. (2017). New insights into burnout and health care: strategies for improving civility and alleviating burnout. Medical Teacher, 39, 160–163.Google Scholar

Maslach, C., Schaufeli, W. B. & Leiter, M. P. (2001). Job burnout. Annual Review of Psychology, 52, 397–422.Google Scholar

Mintzberg, H. (1997). Toward healthier hospitals. Health Care Management Review, 22 (4), 9–18.Google Scholar

Montgomery, A. J. (2014). The inevitability of physician burnout: implications for interventions. Burnout Research, 1, 50–56.Google Scholar

Montgomery, A. J., Bradley, C., Rochfort, A. & Panagopoulou, E. (2011). A review of self-medication in physicians and medical students. Occupational Medicine, 61, 490–497. DOI: 10.1093/occmed/kqr098.Google Scholar

Montgomery, A., Tordova, I., Baban, A. & Panagopoulou, E. (2013). Improving quality and safety in the hospital: the link between organisational culture, burnout and quality of care. British Journal of Health Psychology, 18, 656–662.Google Scholar

Panagopoulou, E., Montgomery, A. & Tsiga, E. (2015). Bringing the well-being and patient safety research agenda together: why healthy HPs equal safe patients. Frontiers in Psychology; 6: 211. DOI: 10.3389/fpsyg.2015.0021.Google Scholar

Poncet, M. C., Toullic, P., Papazian, L., et al. (2007). Burnout syndrome in critical care nursing staff. American Journal of Respiratory and Critical Care Medicine, 175, 698–704.Google Scholar

Schaufeli, W. B. & Bakker, A. B. (2004). Job demands, job resources and their relationship with burnout and engagement: a multi-sample study. Journal of Organizational Behavior, 25, 293–315.Google Scholar

Shaha, M. & Rabenschlag, F. (2007). Burdensome situations in everyday nursing: An explorative qualitative action research on a medical ward. Nursing Administration Quarterly, 31 (2), 134–145.Google Scholar

Shanafelt, T. D., Bradley, K. A., Wipf, J. W. & Back, A. L. (2002). Burnout and self-reported patient care in an internal medicine residency program. Annals of Internal Medicine, 136, 358–367.Google Scholar

Shanafelt, T. D., Balch, C. M., Bechamps, G. J., et al. (2009). Burnout and career satisfaction among American surgeons. Annals of Surgery, 250, 463–471.Google Scholar

Shanafelt, T., Balch, C. M., Bechamps, G., et al. (2010). Burnout and medical errors among American surgeons. Annals of Surgery. Annals of Surgery, 251, 995–1000.Google Scholar

Shanafelt, T. D., Boone, S., Tan, L., et al. (2012). Burnout and satisfaction with work–life balance among US physicians relative to the general US population. Archives of Internal Medicine, 172, 1377–1385. DOI: 10.1001/archinternmed.2012.3199.Google Scholar

Shirom, A., Nirel, N. & Vinokur, A. D. (2006). Overload, autonomy, and burnout as predictors of physicians’ quality of care. Journal of Occupational Health Psychology, 11, 328–342.Google Scholar

Tilburt, J. C., Wynia, M. K., Sheeler, R. D., et al. (2013). Views of US physicians about controlling health care costs. Journal of the American Medical Association, 310(4), 380–389.Google Scholar

Vahey, D. C., Aiken, L. H., Sloane, D. M., Clarke, S. P. & Vargas, D. (2004). Nurse burnout and patient satisfaction. Medical Care, 42(2 Suppl), II57–66.Google Scholar

Vela-Bueno, A., Moreno-Jiménez, B., Rodríguez-Mu˜noz, A., et al. (2008). Insomnia and sleep quality among primary care physicians with low and high burnout levels. Journal of Psychosomatic Research, 64, 435–442.Google Scholar

Åkerstedt, T. & Wright, K. P. Jr (2009). Sleep loss and fatigue in shift work and shift work disorder. Sleep Medicine Clinics, 4, 257–271.Google Scholar

Åkerstedt, T., Nordin, M., Alfredsson, L., et al. (2010). Sleep and sleepiness: impact of entering or leaving shiftwork: a prospective study. Chronobiology International, 27, 987–996.Google Scholar

Åkerstedt, T., Knutsson, A., Narusyte, J., et al. (2015). Night work and breast cancer in women: a Swedish cohort study. BMJ Open, 5.Google Scholar

Asaoka, S., Aritake, S., Komada, Y., et al. (2013). Factors associated with shift work disorder in nurses working with rapid-rotation schedules in Japan: the nurses’ sleep health project. Chronobiology International, 30, 628–636.Google Scholar

Bøggild, H. (2009). Settling the question: the next review on shift work and heart disease in 2019. Scandinavian Journal of Work, Environment and Health, 35, 157–161.Google Scholar

Bøggild, H. & Knutsson, A. (1999). Shift work, risk factors and cardiovascular disease. Scandinavian Journal of Work, Environment and Health, 25, 85–99.Google Scholar

Bonde, J. P., Jørgensen, K. T., Bonzini, M., et al. (2013). Miscarriage and occupational activity: a systematic review and meta-analysis regarding shift work, working hours, lifting, standing, and physical workload. Scandinavian Journal of Work, Environment and Health, 39, 325–334.Google Scholar

Bonzini, M., Palmer, K. T., Coggon, D., et al. (2011). Shift work and pregnancy outcomes: a systematic review with meta-analysis of currently available epidemiological studies. BJOG, 118, 1429–1437.Google Scholar

Brum, M. C. B., Filho, F. F. D., Schnorr, C. C., et al. (2015). Shift work and its association with metabolic disorders. Diabetology and Metabolic Syndrome, 7.Google Scholar

Canuto, R., Garcez, A. S. & Olinto, M. T. A. (2013). Metabolic syndrome and shift work: a systematic review. Sleep Medicine Reviews, 17, 425–431.Google Scholar

Costa, G. (1996). The impact of shift and night work on health. Applied Ergonomics, 27, 9–16.Google Scholar

Costa, G. (2010). Shift work and health: current problems and preventive actions. Safety and Health at Work, 1, 112–123.Google Scholar

Costa, G. (2011). Editorial for special issue of Applied Ergonomics on working hours. Applied Ergonomics, 42, 193–195.Google Scholar

Fernandez, R. C., Marino, J. L., Varcoe, T. J., et al. (2016). Fixed or rotating night shift work undertaken by women: implications for fertility and miscarriage. Seminars in Reproductive Medicine, 34, 74–82.Google Scholar

Flo, E., Pallesen, S., Magerøy, N., et al. (2012). Shift work disorder in nurses: assessment, prevalence and related health problems. PloS One, 7.Google Scholar

Flo, E., Pallesen, S., Åkerstedt, T., et al. (2013). Shift-related sleep problems vary according to work schedule. Occupational and Environmental Medicine, 70, 238–245.Google Scholar

Frost, P., Kolstad, H. A. & Bonde, J. P. (2009). Shift work and the risk of ischemic heart disease: a systematic review of the epidemiologic evidence. Scandinavian Journal of Work, Environment and Health, 35, 163–179.Google Scholar

Gamble, K. L., Resuehr, D. & Johnson, C. H. (2013). Shift work and circadian dysregulation of reproduction. Frontiers in Endocrinology, 4, article 92.Google Scholar

Gu, F., Han, J., Laden, F., et al. (2015). Total and cause-specific mortality of U.S. nurses working rotating night shifts. American Journal of Preventive Medicine, 48, 241–252.Google Scholar

Hansen, A. B., Stayner, L., Hansen, J., et al. (2016). Night shift work and incidence of diabetes in the Danish Nurse Cohort. Occupational and Environmental Medicine, 73, 262–268.Google Scholar

Haus, E. L. & Smolensky, M. H. (2013). Shift work and cancer risk: potential mechanistic roles of circadian disruption, light at night, and sleep deprivation. Sleep Medicine Reviews, 17, 273–284.Google Scholar

Hesselink, J. K., de Leede, J. & Goudswaard, A. (2010). Effects of the new fast forward rotating five-shift roster at a Dutch steel company. Ergonomics, 53, 727–738.Google Scholar

Ijaz, S., Verbeek, J., Seidler, A., et al. (2013). Night-shift work and breast cancer: a systematic review and meta-analysis. Scandinavian Journal of Work, Environment and Health, 39, 431–447.Google Scholar

Kamdar, B. B., Tergas, A. I., Mateen, F. J., et al. (2013). Night-shift work and risk of breast cancer: a systematic review and meta-analysis. Breast Cancer Research and Treatment, 138, 291–301.Google Scholar

Karhula, K., Härmä, M., Ropponen, A., et al. (2016). Sleep and satisfaction in 8- and 12-h forward-rotating shift systems: industrial employees prefer 12-h shifts. Chronobiology International, 33, 768–775.Google Scholar

Knauth, P. & Hornberger, S. (2003). Preventive and compensatory measures for shift workers. Occupational Medicine, 53, 109–116.Google Scholar

Knutsson, A. (2003). Health disorders of shift workers. Occupational Medicine, 53, 103–108.Google Scholar

Knutsson, A. & Bøggild, H. (2010). Gastrointestinal disorders among shift workers. Scandinavian Journal of Work, Environment and Health, 36, 85–95.Google Scholar

Kolstad, H. A. (2008). Nightshift work and risk of breast cancer and other cancers: a critical review of the epidemiologic evidence. Scandinavian Journal of Work, Environment and Health, 34, 5–22.Google Scholar

Kunst, J. R., Løset, G. K., Hosøy, D., et al. (2014). The relationship between shift work schedules and spillover in a sample of nurses. International Journal of Occupational Safety and Ergonomics, 20, 139–147.Google Scholar

Lawson, C. C., Johnson, C. Y., Chavarro, J. E., et al. (2015). Work schedule and physically demanding work in relation to menstrual function: the nurses’ health study 3. Scandinavian Journal of Work, Environment and Health, 41, 194–203.Google Scholar

Lin, X., Chen, W., Wei, F., et al. (2015). Night-shift work increases morbidity of breast cancer and all-cause mortality: a meta-analysis of 16 prospective cohort studies. Sleep Medicine, 16, 1381–1387.Google Scholar

Lockley, S. W. (2010). Principles of sleep–wake regulation. In Cappuccio, F. P., Miller, M. A. & Lockley, S. W. (eds) Sleep, Health and Society: From Aetiology to Public Health. Oxford: Oxford University Press.Google Scholar

Monk, T. H., Buysse, D. J., Billy, B. D., et al. (2013). Shiftworkers report worse sleep than day workers, even in retirement. Journal of Sleep Research, 22, 201–208.Google Scholar

Nätti, J., Anttila, T., Oinas, T., et al. (2012). Night work and mortality: prospective study among Finnish employees over the time span 1984 to 2008. Chronobiology International, 29, 601–609.Google Scholar

Neil-Sztramko, S. E., Pahwa, M., Demers, P. A., et al. (2014). Health-related interventions among night shift workers: a critical review of the literature. Scandinavian Journal of Work, Environment and Health, 40, 543–556.Google Scholar

Niu, S. F., Chung, M. H., Chen, C. H., et al. (2011). The effect of shift rotation on employee cortisol profile, sleep quality, fatigue, and attention level: a systematic review. Journal of Nursing Research, 19, 68–81.Google Scholar

Pallesen, S., Bjorvatn, B., Magerøy, N., et al. (2010). Measures to counteract the negative effects of night work. Scandinavian Journal of Work, Environment and Health, 36, 109–120.Google Scholar

Proper, K. I., Van De Langenberg, D., Rodenburg, W., et al. (2016). The relationship between shift work and metabolic risk factors: a systematic review of longitudinal studies. American Journal of Preventive Medicine, 50, e147–e157.Google Scholar

Puttonen, S., Härmä, M. & Hublin, C. (2010). Shift work and cardiovascular disease: pathways from circadian stress to morbidity. Scandinavian Journal of Work, Environment and Health, 36, 96–108.Google Scholar

Ramin, C., Devore, E. E., Wang, W., et al. (2015). Night shift work at specific age ranges and chronic disease risk factors. Occupational and Environmental Medicine, 72, 100–107.Google Scholar

Rao, D., Yu, H., Bai, Y., et al. (2015). Does night-shift work increase the risk of prostate cancer? A systematic review and meta-analysis. OncoTargets and Therapy, 8, 2817–2826.Google Scholar

Schernhammer, E. S., Feskanich, D., Liang, G., et al. (2013). Rotating night-shiftwork and lung cancer risk among female nurses in the United States. American Journal of Epidemiology, 178, 1434–1441.Google Scholar

Scott, A. J. (2000). Shift work and health. Primary Care, 27, 1057–1070.Google Scholar

Singh, R. B., Anjum, B., Garg, R., et al. (2014). Circadian disruption of sleep and night shift work with risk of cardiovascular disease and diabetes. In Singh, R. (ed.), New Research in Cardiovascular Health. New York: Nova Science Publishers.Google Scholar

Slanger, T. E., Gross, J. V., Pinger, A., et al. (2016). Person-directed, non-pharmacological interventions for sleepiness at work and sleep disturbances caused by shift work. Cochrane Database of Systematic Reviews, 8, CD010641.Google Scholar

Takahashi, M. (2014). Assisting shift workers through sleep and circadian research. Sleep and Biological Rhythms, 12, 85–95.Google Scholar

Thomas, C. & Power, C. (2010). Shift work and risk factors for cardiovascular disease: a study at age 45 years in the 1958 British birth cohort. European Journal of Epidemiology, 25, 305–314.Google Scholar

Tucker, P., Folkard, S., Ansiau, D., et al. (2011). The effects of age and shiftwork on perceived sleep problems: results from the VISAT combined longitudinal and cross-sectional study. Journal of Occupational and Environmental Medicine, 53, 794–798.Google Scholar

Ulhôa, M. A., Marqueze, E. C., Burgos, L. G. A., et al. (2015). Shift work and endocrine disorders. International Journal of Endocrinology, 2015: 826249.Google Scholar

van Melick, M. J. G. J., van Beukering, M. D. M., Mol, B. W., et al. (2014). Shift work, long working hours and preterm birth: a systematic review and meta-analysis. International Archives of Occupational and Environmental Health, 87, 835–849.Google Scholar

Vetter, C., Devore, E. E., Wegrzyn, L. R., et al. (2016). Association between rotating night shiftwork and risk of coronary heart disease among women. JAMA, 315, 1726–1734.Google Scholar

Vyas, M. V., Garg, A. X., Iansavichus, A. V., et al. (2012). Shift work and vascular events: systematic review and meta-analysis. BMJ (Online), 345:e4800.Google Scholar

Wang, F., Zhang, L., Zhang, Y., et al. (2014). Meta-analysis on night shift work and risk of metabolic syndrome. Obesity Reviews, 15, 709–720.Google Scholar

Wang, P., Ren, F. M., Lin, Y., et al. (2015). Night-shift work, sleep duration, daytime napping, and breast cancer risk. Sleep Medicine, 16, 462–468.Google Scholar

Wang, X. S., Armstrong, M. E. G., Cairns, B. J., et al. (2011). Shift work and chronic disease: the epidemiological evidence. Occupational Medicine, 61, 78–89.Google Scholar

Weston, L. (2014). Shift work. In Health Survey for England, 2013. Volume 1. Health, Social Care and Lifestyles. London: Health and Social Care Information Centre.Google Scholar

Yong, M., Germann, C., Lang, S., et al. (2015). Primary selection into shift work and change of cardiovascular risk profile. Scandinavian Journal of Work, Environment and Health, 41, 259–267.Google Scholar

Brooks, S. K., Gerada, C. & Chalder, T. (2011). Review of literature on the mental health of doctors: are specialist services needed? Journal of Mental Health, 2(146), 156.Google Scholar

Cox, T. (1978) Stress. Basingstoke: Macmillan.Google Scholar

Freudenberger, H. J. (1974). Staff burn-out. Journal of Social Issues, 30(1), 159–165.Google Scholar

Kaschka, W. P., Korczak, D. & Broich, K. (2011). Burnout: a fashionable diagnosis. Deutsches Ärtzeblatt International, 108(46), 781–787.Google Scholar

Kinman, G. & Jones, F. (2005). Lay representations of workplace stress: what do people really mean when they say they are stressed? Work & Stress, 19(2), 101–120.Google Scholar

Maslach, C., Jackson, S. E. & Leiter, M. P. (1996). Maslach Burnout Inventory (3rd edn). Palo Alto, CA: Consulting Psychologists Press.Google Scholar

McManus, I. C., Winder, B. C. & Gordon, D. (2002). The causal links between stress and burnout in a longitudinal study of UK doctors. Lancet, 359, 2089–2090.Google Scholar

McManus, I. C., Keeling, A. & Paice, E. (2004). Stress, burnout and doctors’ attitudes to work are determined by personality and learning style: a twelve year longitudinal study of UK medical graduates. BMC Medicine, 2, 29.Google Scholar

McManus, I. C., Jonvik, H., Richards, P. & Paice, E. (2011). Vocation and avocation: leisure activities correlate with professional engagement, but not burnout, in a cross-sectional study of UK doctors. BMC Medicine, 9, 100. www.biomedcentral.com/1741-7015/9/100.Google Scholar

National Institute for Occupational Safety and Health (NIOSH). (1999). Stress ... at Work. Cincinatti, OH: US Department of Health and Human Services. www.cdc.gov/niosh/docs/99-101.Google Scholar

Schaufeli, W. B., Bakker, A., Hoogduin, K., Schaap, C. & Kladler, A. (2001). On the clinical validity of the Maslach Burnout Inventory and the burnout measure. Psychology and Health, 16, 565–582.Google Scholar

Schaufeli, W. B., Leiter, M. P. & Maslach, C. (2009). Burnout: 35 years of research and practice. Career Development International, 14(3), 204–220.Google Scholar

Balch, C. M. & Copeland, E. (2007). Stress and burnout among surgical oncologists: a call for personal wellness and a supportive workplace environment. Annals of Surgical Oncology, 14(11), 3029–3032. DOI: 10.1245/s10434-007–9588-0.Google Scholar

Barth, J. & Lannen, P. (2011). Efficacy of communication skills training courses in oncology: a systematic review and meta-analysis. Annals of Oncology, 22(5), 1030–1040.Google Scholar

Bell, S. K., Moorman, D. W. & Delbanco, T. (2010). Improving the patient, family, and clinician experience after harmful events: the ‘when things go wrong’ curriculum. Academic Medicine, 85(6), 1010–1017.Google Scholar

Canivet, D., Delvaux, N., Gibon, A.-S., Brancart, C., et al. (2014). Improving communication in cancer pain management nursing: a randomized controlled study assessing the efficacy of a communication skills training program. Supportive Care in Cancer, 22(12), 3311–3320.Google Scholar

Carter, A. J. & West, M. A. (1999). Sharing the burden: team work in health care settings. In Firth-Cozens, J. & Payne, R. (eds.), Stress in Health Professionals: Psychological and Organizational Causes and Interventions. London: Wiley.Google Scholar

Christensen, J. F., Levinson, W. & Dunn, P. M. (1992). The heart of darkness. Journal of General Internal Medicine, 7(4), 424–431.Google Scholar

Conway, J., Federico, F., Stewart, K. & Campbell, M. J. (2011). Respectful management of serious clinical adverse events. Institute for Healthcare Improvement Innovation Series White Paper.Google Scholar

Daniels, R. G. & McCorkle, R. (2016). Design of an evidence-based ‘second victim’ curriculum for nurse anesthetists. Journal of the American Association of Nurse Anesthetists, 84, 107–113.Google Scholar

Edrees, H., Brock, D. M., Wu, A. W., et al. (2016). The experiences of risk managers in providing emotional support for health care workers after adverse events. Journal of Healthcare Risk Management, 35(4), 14–21. DOI: 10.1002/jhrm.21219.Google Scholar

Fallowfield, L., Jenkins, V., Farewell, V., et al. (2002). Efficacy of a Cancer Research UK communication skills training model for oncologists: a randomised controlled trial. Lancet, 359(9307), 650–656. http://dx.doi.org/10.1016/S0140-6736(02)07810-8Google Scholar

Firth-Cozens, J. (2001a). Cultures for improving patient safety through learning: the role of teamwork. Quality in Health Care, 10(suppl. 2), ii26–ii31.Google Scholar

Firth-Cozens, J. (2001b). Interventions to improve physicians’ well-being and patient care. Social Science & Medicine, 52(2), 215–222.Google Scholar

Firth-Cozens, J. (2003). Doctors, their wellbeing, and their stress: it’s time to be proactive about stress – and prevent it. BMJ, 326(7391), 670–671. DOI: 10.1136/bmj.326.7391.670.Google Scholar

Fukui, S., Ogawa, K., Ohtsuka, M. & Fukui, N. (2008). A randomized study assessing the efficacy of communication skill training on patients’ psychologic distress and coping. Cancer, 113(6), 1462–1470.Google Scholar

Grunfeld, E., Whelan, T. J., Zitzelsberger, L., et al. (2000). Cancer care workers in Ontario: prevalence of burnout, job stress and job satisfaction. Canadian Medical Association Journal, 163(2), 166–169.Google Scholar

Hirschinger, L. E., Scott, S. D. & Hahn-Cover, K. (2015). Clinician support: five years of lessons learned. Patient Safety and Quality Healthcare, April, 26–31.Google Scholar

Hu, Y.-Y., Fix, M. L., Hevelone, N. D., et al. (2012). Physicians’ needs in coping with emotional stressors: the case for peer support. Archives of Surgery, 147(3), 212–217.Google Scholar

James, J. T. (2013). A new, evidence-based estimate of patient harms associated with hospital care. Journal of Patient Safety, 9(3), 122–128.Google Scholar

Kalliath, T. J. & Beck, A. (2001). Is the path to burnout and turnover paved by a lack of supervisory support? A structural equations test. New Zealand Journal of Psychology, 30(2), 72.Google Scholar

Kohn, L. T., Corrigan, J. M. & Donaldson, M. S. (2000). To Err is Human: Building a Safer Health System. Washington, DC: National Academies Press.Google Scholar

Marmon, L. M. & Heiss, K. (2015). Improving surgeon wellness: the second victim syndrome and quality of care. Seminars in Pediatric Surgery, 24(6), 315–318.Google Scholar

Michie, S. & West, M. A. (2004). Managing people and performance: an evidence based framework applied to health service organizations. International Journal of Management Reviews, 5(2), 91–111.Google Scholar

MITSS. (n.d.). Tools for building a clinician and staff support program. www.mitsstools.org/tool-kit-for-staff-support-for-healthcare-organizations.html.Google Scholar

Moore, P. M., Rivera Mercado, S., Grez Artigues, M. & Lawrie, T. A. (2013). Communication skills training for healthcare professionals working with people who have cancer. Cochrane Database Syst Rev, 3, CD003751.Google Scholar

Morse, G., Salyers, M. P., Rollins, A. L., Monroe-DeVita, M. & Pfahler, C. (2012). Burnout in mental health services: a review of the problem and its remediation. Administration and Policy in Mental Health and Mental Health Services Research, 39(5), 341–352. DOI: 10.1007/s10488-011-0352-1.Google Scholar

Moss, M., Good, V. S., Gozal, D., Kleinpell, R. & Sessler, C. N. (2016). A critical care societies collaborative statement: burnout syndrome in critical care health-care professionals – a call for action. American Journal of Respiratory and Critical Care Medicine, 194(1), 106–113.Google Scholar

NHS (n.d.) NHS practitioner health programme. http://php.nhs.uk.Google Scholar

Peterson, U., Bergström, G., Samuelsson, M., Åsberg, M. & Nygren, Å. (2008). Reflecting peer‐support groups in the prevention of stress and burnout: randomized controlled trial. Journal of Advanced Nursing, 63(5), 506–516.Google Scholar

Plews-Ogan, M., May, N., Owens, J., et al. (2016). Wisdom in medicine: what helps physicians after a medical error? Academic Medicine, 91(2), 233–241. DOI: 10.1097/acm.0000000000000886.Google Scholar