The interplay between teamwork, clinicians' emotional exhaustion, and clinician-rated patient safety: a longitudinal study

Annalena Welp, Laurenz L Meier, Tanja Manser, Annalena Welp, Laurenz L Meier, Tanja Manser

Abstract

Background: Effectively managing patient safety and clinicians' emotional exhaustion are important goals of healthcare organizations. Previous cross-sectional studies showed that teamwork is associated with both. However, causal relationships between all three constructs have not yet been investigated. Moreover, the role of different dimensions of teamwork in relation to emotional exhaustion and patient safety is unclear. The current study focused on the long-term development of teamwork, emotional exhaustion, and patient safety in interprofessional intensive care teams by exploring causal relationships between these constructs. A secondary objective was to disentangle the effects of interpersonal and cognitive-behavioral teamwork.

Methods: We employed a longitudinal study design. Participants were 2100 nurses and physicians working in 55 intensive care units. They answered an online questionnaire on interpersonal and cognitive-behavioral aspects of teamwork, emotional exhaustion, and patient safety at three time points with a 3-month lag. Data were analyzed with cross-lagged structural equation modeling. We controlled for professional role.

Results: Analyses showed that emotional exhaustion had a lagged effect on interpersonal teamwork. Furthermore, interpersonal and cognitive-behavioral teamwork mutually influenced each other. Finally, cognitive-behavioral teamwork predicted clinician-rated patient safety.

Conclusions: The current study shows that the interrelations between teamwork, clinician burnout, and clinician-rated patient safety unfold over time. Interpersonal and cognitive-behavioral teamwork play specific roles in a process leading from clinician emotional exhaustion to decreased clinician-rated patient safety. Emotionally exhausted clinicians are less able to engage in positive interpersonal teamwork, which might set in motion a vicious cycle: negative interpersonal team interactions negatively affect cognitive-behavioral teamwork and vice versa. Ultimately, ineffective cognitive-behavioral teamwork negatively impacts clinician-rated patient safety. Thus, reducing clinician emotional exhaustion is an important prerequisite of managing teamwork and patient safety. From a practical point of view, team-based interventions targeting patient safety are less likely to be effective when clinicians are emotionally exhausted.

Keywords: Emotional exhaustion; Healthcare team; Intensive care; Interprofessional teams; Patient safety; Teamwork.

Figures

Fig. 1
Fig. 1
Cross-lagged structural equation model testing longitudinal relationships between teamwork, clinician emotional exhaustion, and patient safety. Oblique solid arrows: hypothesized cross-lagged effects between measurement occasions. Oblique dashed arrows: reverse cross-lagged effects between measurement occasions. Horizontal arrows: auto-regressive paths of the same variable between different measurement occasions. Curved arrows: shared variance among the predictors
Fig. 2
Fig. 2
Cross-lagged structural equation model showing significant (reverse) cross-lagged effects (statistics reported in Table 4)

References

    1. Dietz AS, Pronovost PJ, Mendez-Tellez PA, Wyskiel R, Marsteller JA, Thompson DA, et al. A systematic review of teamwork in the intensive care unit: what do we know about teamwork, team tasks, and improvement strategies? J Crit Care. 2014;29:908–914. doi: 10.1016/j.jcrc.2014.05.025.
    1. Marks MA, Mathieu JE, Zaccaro SJ. A temporally based framework and taxonomy of team processes. Acad Manage Rev. 2001;26:356–376.
    1. Dickinson TL, McIntyre RM. A conceptual framework for teamwork measurement. In: Brannick MT, Salas E, Prince C, editors. Team performance assessment and measurement: theory, methods, and applications. Mahwah: Lawrence Erlbaum Associates; 1997. pp. 19–43.
    1. Salas E, Cooke NJ, Rosen MA. On teams, teamwork, and team performance: discoveries and developments. Hum Factors. 2008;50:540–547. doi: 10.1518/001872008X288457.
    1. Martin JS, Ummenhofer W, Manser T, Spirig R. Interprofessional collaboration among nurses and physicians: making a difference in patient outcome. Swiss Med Wkly. 2010;140:w13062.
    1. Baggs J, Schmitt M, Mushlin A, Mitchell P, Eldrege D, Oakes D. Association between nurse-physician collaboration and patient outcomes in three intensive care units. Crit Care Med. 1999;27:1991–1998. doi: 10.1097/00003246-199909000-00045.
    1. McCulloch P, Mishra A, Handa A, Dale T, Hirst G, Catchpole K. The effects of aviation-style non-technical skills training on technical performance and outcome in the operating theatre. Qual Safe Health Care. 2009;18:109–115. doi: 10.1136/qshc.2008.032045.
    1. Burtscher MJ, Kolbe M, Wacker J, Manser T. Interactions of team mental models and monitoring behaviors predict team performance in simulated anesthesia inductions. J Exp Psychol Appl. 2011;17:257–269. doi: 10.1037/a0025148.
    1. Sutinen R, Kivimaki M, Elovainio M, Forma P. Associations between stress at work and attitudes towards retirement in hospital physicians. Work Stress. 2005;19:177–185. doi: 10.1080/02678370500151760.
    1. Van Bogaert P, Clarke S, Roelant E, Meulemans H, Van de Heyning P. Impacts of unit-level nurse practice environment and burnout on nurse-reported outcomes: a multilevel modelling approach. J Clin Nurs. 2010;19:1664–1674. doi: 10.1111/j.1365-2702.2009.03128.x.
    1. Teixeira C, Ribeiro O, Fonseca A, Carvalho A. Burnout in intensive care units - a consideration of the possible prevalence and frequency of new risk factors: a descriptive correlational multicentre study. BMC Anesthesiol. 2013;13:38. doi: 10.1186/1471-2253-13-38.
    1. Rothschild JM, Landrigan CP, Cronin JW, Kaushal R, Lockley SW, Burdick E, et al. The Critical Care Safety Study: the incidence and nature of adverse events and serious medical errors in intensive care. Crit Care Med. 2005;33:1694–1700. doi: 10.1097/.
    1. Merlani P, Verdon M, Businger A, Domenighetti G, Pargger H, Ricou B. Burnout in ICU caregivers: a multicenter study of factors associated to centers. Am J Respir Crit Care Med. 2011;184:1140–1146. doi: 10.1164/rccm.201101-0068OC.
    1. Kanai-Pak M, Aiken LH, Sloane DM, Poghosyan L. Poor work environments and nurse inexperience are associated with burnout, job dissatisfaction and quality deficits in Japanese hospitals. J Clin Nurs. 2008;17:3324–3329. doi: 10.1111/j.1365-2702.2008.02639.x.
    1. Klopper HC, Coetzee SK, Pretorius R, Bester P. Practice environment, job satisfaction and burnout of critical care nurses in South Africa. J Nurs Manage. 2012;20:685–695. doi: 10.1111/j.1365-2834.2011.01350.x.
    1. Vogus TJ, Sutcliffe KM. The Safety Organizing Scale: development and validation of a behavioral measure of safety culture in hospital nursing units. Med Care. 2007;45:46–54. doi: 10.1097/01.mlr.0000244635.61178.7a.
    1. Ausserhofer D, Schubert M, Blegen M, De Geest S, Schwendimann R. Validity and reliability on three European language versions of the Safety Organizing Scale. Int J Qual Health Care. 2013;25:157–166. doi: 10.1093/intqhc/mzt001.
    1. Lake ET. Development of the practice environment scale of the nursing work index. Res Nurs Health. 2002;25:176–188. doi: 10.1002/nur.10032.
    1. Sermeus W, Aiken LH, Van den Heede K, Rafferty AM, Griffiths P, Moreno-Casbas MT, et al. Nurse forecasting in Europe (RN4CAST): rationale, design and methodology. BMC Nurs. 2011;10:6. doi: 10.1186/1472-6955-10-6.
    1. Ausserhofer D, Desmedt M, Schubert M, Schwendimann R, De Geest S. RN4Cast – Schweizer Ergebnisse der weltweit grössten Outcome-Studie in der Pflege. Pflegenetz. 2012;2:4–7.
    1. Büssing A, Glaser J. Managerial stress und burnout. A collaborative international study (CISMS). Die deutsche Untersuchung. München: Technische Universität, Lehrstuhl für Psychologie; 1998.
    1. Dion G, Tessier R. Validation de la traduction de l’Inventaire d’épuisement professionnel de Maslach et Jackson. Can J Behav Sci. 1994;26:210–227. doi: 10.1037/0008-400X.26.2.210.
    1. Pisanti R, Lombardo C, Lucidi F, Violani C, Lazzari D. Psychometric properties of the Maslach Burnout Inventory for Human Services among Italian nurses: a test of alternative models. J Adv Nurs. 2013;69:697–707. doi: 10.1111/j.1365-2648.2012.06114.x.
    1. Maslach C, Jackson SE, Leiter MP. Maslach Burnout Inventory manual. Palo Alto: Consulting Psychologists Press; 1996.
    1. Maslach C, Schaufeli W, Leiter M. Job burnout. Annu Rev Psychol. 2001;52:397–422. doi: 10.1146/annurev.psych.52.1.397.
    1. Sorra J, Nieva VF. Psychometric analysis of the Hospital Survey on Patient Safety. Final report to Agency for Health Care Research and Quality. Washington: AHRQ; 2004.
    1. Pfeiffer Y, Manser T. Development of the German version of the Hospital Survey on Patient Safety Culture: dimensionality and psychometric properties. Saf Sci. 2010;48:1452–1462. doi: 10.1016/j.ssci.2010.07.002.
    1. Occelli P, Quenon J-L, Kret M, Domecq S, Delaperche F, Claverie O, et al. Validation of the French version of the Hospital Survey on Patient Safety Culture questionnaire. Int J Qual Health Care. 2013;25:459–468. doi: 10.1093/intqhc/mzt047.
    1. Bagnasco A, Tibaldi L, Chirone P, Chiaranda C, Panzone MS, Tangolo D, et al. Patient safety culture: an Italian experience. J Clin Nurs. 2011;20:1188–1195. doi: 10.1111/j.1365-2702.2010.03377.x.
    1. James LR, Demaree RG, Wolf G. Estimating within-group interrater reliability with and without response bias. J Appl Psychol. 1984;69:85–98. doi: 10.1037/0021-9010.69.1.85.
    1. Muthén LK, Muthén BO. MPLUS (Version 7). [Computer software] Los Angeles, CA: Muthén & Muthén; 2012.
    1. Hayes AF. A primer on multilevel modeling. Hum Commun Res. 2006;32:385–410. doi: 10.1111/j.1468-2958.2006.00281.x.
    1. Muthén LK, Muthén BO. Mplus user’s guide. 7. Los Angeles, CA: Muthén & Muthén; 2012.
    1. Aguinis H, Gottfredson RK, Joo H. Best-practice recommendations for defining, identifying, and handling outliers. Organ Res Methods. 2013;16:270–301. doi: 10.1177/1094428112470848.
    1. Budge C, Carryer J, Wood S. Health correlates of autonomy, control and professional relationships in the nursing work environment. J Adv Nurs. 2003;42:260–268. doi: 10.1046/j.1365-2648.2003.02615.x.
    1. Rathert C, Williams ES, Lawrence ER, Halbesleben JRB. Emotional exhaustion and workarounds in acute care: cross sectional tests of a theoretical framework. Int J Nurs Stud. 2012;49:969–977. doi: 10.1016/j.ijnurstu.2012.02.011.
    1. Demerouti E, Bakker AB, Nachreiner F, Schaufeli WB. The job demands-resources model of burnout. J Appl Psychol. 2001;86:499–512. doi: 10.1037/0021-9010.86.3.499.
    1. Hobfoll SE. The influence of culture, community, and the nested-self in the stress process: advancing conservation of resources theory. Appl Psychol. 2001;50:337–21. doi: 10.1111/1464-0597.00062.
    1. Valentin A, Schiffinger M, Steyrer J, Huber C, Strunk G. Safety climate reduces medication and dislodgement errors in routine intensive care practice. Intensive Care Med. 2013;39:391–398. doi: 10.1007/s00134-012-2764-0.
    1. Vuori M, Akila R, Kalakoski V, Pentti J, Kivimaki M, Vahtera J, et al. Association between exposure to work stressors and cognitive performance. J Occup Environ Med. 2014;56:354–360. doi: 10.1097/JOM.0000000000000129.
    1. Halbesleben JRB, Rathert C. Linking physician burnout and patient outcomes: Exploring the dyadic relationship between physicians and patients. Health Care Manage R. 2008;33:29–39. doi: 10.1097/01.HMR.0000304493.87898.72.
    1. Nembhard IM, Edmondson AC. Making it safe: the effects of leader inclusiveness and professional status on psychological safety and improvement efforts in health care teams. J Organ Behav. 2006;27:941–966. doi: 10.1002/job.413.
    1. Welp A, Meier LL, Manser T. Emotional exhaustion and workload predict clinician-rated and objective patient safety. Front Psychol. 2015;5:1573. doi: 10.3389/fpsyg.2014.01573.
    1. Thomas E, Sexton J, Helmreich R. Discrepant attitudes about teamwork among critical care nurses and physicians. Crit Care Med. 2003;31:956–9. doi: 10.1097/01.CCM.0000056183.89175.76.
    1. Poghosyan L, Aiken LH, Sloane DM. Factor structure of the Maslach Burnout Inventory: an analysis of data from large scale cross-sectional surveys of nurses from eight countries. Int J Nurs Stud. 2009;46:894–902. doi: 10.1016/j.ijnurstu.2009.03.004.
    1. Lawton R, O’Hara JK, Sheard L, Reynolds C, Cocks K, Armitage G, et al. Can staff and patient perspectives on hospital safety predict harm-free care? An analysis of staff and patient survey data and routinely collected outcomes. BMJ Qual Saf. 2015;24:369–376. doi: 10.1136/bmjqs-2014-003691.
    1. Bakker A, Le Blanc P, Schaufeli W. Burnout contagion among intensive care nurses. J Adv Nurs. 2005;51:276–87. doi: 10.1111/j.1365-2648.2005.03494.x.
    1. Hu LT, Bentler PM. Cutoff criteria for fit indexes in covariance structure analysis: Conventional criteria versus new alternatives. Struct Equ Modeling. 1999;6:1–55. doi: 10.1080/10705519909540118.
    1. MacCallum RC, Austin JT. Applications of structural equation modeling in psychological research. Annu Rev Clin Psychol. 2000;51:201–226. doi: 10.1146/annurev.psych.51.1.201.

Source: PubMed

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