Exploration of the Association between Technostress and Burnout among Healthcare Professionals
DOI:
https://doi.org/10.26821/IJSRC.12.3.2024.120306Keywords:
Technostress, Burnout, occupational stress, information and communication technologies, digitalization.Abstract
This study uses case studies as the research design and uses relevant literature from secondary sources. The study found that technological advances are the backbone of any organization, and the healthcare industry is no different. The literature revealed that due to newly developed technologies, medical facilities have become more developed than before and can provide clients with simpler and more efficient health care. This review explores the association between technologically related stress and its association with burnout syndrome among healthcare professionals (HCPs). The results show the effect of digitization on the psychological well-being of medical professionals. The findings and the practical consequences of the study show a linkage between long-term hospital digitalization initiatives that take technostress and its effects on burnout into account. The results indicate that the utilization of technological digitalization is linked to distinct psychological needs and the corresponding psychobiological stress responses. Consequently, the study found that because epidemiological research on this type of technostress is lacking, it is still unknown if it contributes to mental problems such as burnout. The review shows that a growing body of research indicates that technology may improve overall performance if it maximizes workplace structure, permits more flexibility, and boosts employee authority and autonomy. The review found that employee mental health appears to be in danger from both the benefits and problems associated with the technology of work. The study recommends that more investigation be conducted on the subject to provide a more accurate description of the benefits and drawbacks.
References
Madsen IEH, Nyberg ST, Hanson LM, et al. IPD-Work Consortium. Job strain as a risk factor for clinical depression: systematic review and meta-analysis with additional individual participant data. Psychol Med 2017; 47:1342–1356.
Rugulies R, Aust B, Madsen IEH. Effort–reward imbalance at work and risk of depressive disorders. A systematic review and meta-analysis of prospective cohort studies. Scand J Work Environ Health 2017; 43:294–306.
Theorell T, Hammarstrom A, Aronsson G, et al. A systematic review including meta-analysis of work environment and depressive symptoms. BMC Public Health 2015; 15:738.
Aronsson G, Theorell T, Grape T, et al. A systematic review including meta-analysis of work environment and burnout symptoms. BMC Public Health 2017; 17:264.
O’Connor K, Muller Neff D, Pitman S. Burnout in mental health professionals: a systematic review and meta-analysis of prevalence and determinants. Eur Psychiatry 2018; 53:74–99.
Cartwright A, Cooper CL. The Oxford handbook of organizational wellbeing. Oxford: Oxford University Press; 2009.
Sinclair RR, Leka S. Wiley-Blackwell, Contemporary occupational health psychology: Global perspectives on research and practice. Chichester:2014.
Stacey N, Ellwood P, Bradbrook S, et al. Foresight on new and emerging occupational safety and health risks associated with digitalization by 2025: European Risk Observatory; 2018.
Stolterman E, Fors AC. Kaplan B, Truex DP, Wastell D, et al. Information technology good life. Information systems research: relevant theory and informed practice. IFIP International Federation for Information Processing, vol 143. Boston, MA: Springer Science + Business Media Inc; 2004. 687–692.
Parent-Thirion A, Biletta I, Cabrita J, et al. 6th European Working Conditions Survey: 2017 update. 2017th ed.Luxembourg: Publications Office of the European Union; 2017.
Chanias S, Myers MD, Hess T. Digital transformation strategy making in predigital organizations: the case of a financial services provider. J Strategic Inform Syst 2019; 28:17–33.
Harteis C. Springer International Publishing; Imprint: Springer, The impact of digitalization in the workplace: an educational view. Professional and practice-based learning, vol. 21. Cham:2018.
Cascio WF, Montealegre R. How technology is changing work and organizations. Annu Rev Organ Psychol Organ Behav 2016; 3:349–375.
Frey CB, Osborne MA. The future of employment: how susceptible are jobs to computerization? Technol Forecasting Social Change 2017; 114:254–280.
Gregor, S., & Benbasat, I. (1999). Explanations from Intelligent Systems: Theoretical Foundations and Implications for Practice. MIS Quarterly, 23(4), 497. https://doi.org/10.2307/249487
Grønsund, T., & Aanestad, M. (2020). Augmenting the algorithm: Emerging human-in-the-loop work configurations. The Journal of Strategic Information Systems, 29(2), 101614. https://doi.org/10.1016/j.jsis.2020.101614
Hair, J. F., Ringle, C. M., & Sarstedt, M. (2011). PLS-SEM: Indeed, a Silver Bullet. Journal of Marketing Theory and Practice, 19(2), Article 2. https://doi.org/10.2753/MTP1069-6679190202
Heller, S., Ullrich, J., & Mast, M. S. (2023). Power at work: Linking objective power to psychological power. Journal of Applied Social Psychology, 53(1), 5–20. https://doi.org/10.1111/jasp.12922
Fink, L. (2022). Why and How Online Experiments Can Benefit Information Systems Research. Journal of the Association for Information Systems, 23(6), 1333–1346. https://doi.org/10.17705/1jais.00787
Addison Wesley Publishing Company, Brod C. Technostress: the human cost of the computer revolution Reading: 1984.
Ayyagari R, Grover V, Purvis R. Technostress: technological antecedents and implications. MIS Quarterly 2011; 35:831–858.
Riedl R, Kindermann H, Auinger A, et al. Technostress from a neurobiological perspective: system breakdown increases the stress hormone cortisol in computer users. Bus Inf Syst Eng 2012; 4:61–69.
[50] Castanheira F, Chambel MJ. Reducing burnout in call centers through HR practices. Hum Resource Manage 2010; 49:1047–1065.
Lu JL. Perceived job stress of women workers in diverse manufacturing industries. Human Factors and Ergonomics in Manufacturing & Service Industries 2005; 15:275–291.
Körner U, Müller-Thur K, Lunau T, et al. Perceived stress in human-machine interaction in modern manufacturing environments of a qualitative interview study. Stress Health 2019; 35:187–199.
Nomura T, Kanda T, Suzuki T, et al. Prediction of human behavior in human-robot interaction using psychological scales for anxiety and negative attitudes toward robots. IEEE Transact Robotics 2008; 24:442–451.
Tarafdar M, Tu Q, Ragu-Nathan B, et al. The impact of technostress on role stress and productivity. J Managem Inform Syst 2007; 24:301–328.
Fischer T, Riedl R. Technostress research: a nurturing ground for measurement pluralism. CAIS 2017; 40:375–29401.
Vogel J, Auinger A, Riedl R. Davis FD, Riedl R, Vom Brocke J, et al. Cardiovascular, neurophysiological, and biochemical stress indicators: a short review for information systems researchers. Information systems and neuroscience. Lecture notes in information systems and organization. Cham: Springer International Publishing; 2019. 259–273.
Riedl R. On the biology of technostress: literature review and research agenda. ACM SIGMIS Database: the DATA BASE for Advances in Information Systems 2013; 44:18–55.
Riedl R, Kindermann H, Auinger A, et al. Technostress from a neurobiological perspective: system breakdown increases the stress hormone cortisol in computer users. Bus Inf Syst Eng 2012; 4:61–69.
Mark G, Voida S, Cardello A. A pace not dictated by electrons: an empirical study of work without e-mail. New York, NY: ACM; 2011.
Galluch P, Grover V, Thatcher J. Interrupting the workplace: examining stressors in an information technology context. JAIS 2015; 16:1–47.
Maslach C, Schaufeli WB, Leiter MP. Job burnout. Annu Rev Psychol 2001; 52:397–422.
Brown R, Duck J, Jamieson N. E-mail in the workplace: the role of stress appraisals and normative response pressure in the relationship between e-mail stressors and employee strain. Int J Stress Manage 2014; 21:325.
Salanova M, Grau RM, Cifre E, et al. Computer training, frequency of usage and burnout: the moderating role of computer self-efficacy. Comput Hum Behav 2000; 16:575–590.
Park J-C, Kim S, Lee H. Effect of work-related smartphone use after work on job burnout: the moderating effect of social support and organizational politics. Comput Hum Behav 2020; 105:106194.
Abeliansky AL, Matthias B. Are they coming for us? Industrial robots and the mental health of workers.Working Paper. 2019.
Stenfors CUD, Magnusson Hanson L, Oxenstierna G, et al. Psychosocial working conditions, and cognitive complaints among Swedish employees. PloS One 2013; 8: e60637.
Stadin M, Nordin M, Broström A, et al. Repeated exposure to high ICT demands at work, and development of suboptimal self-rated health: findings from a 4-year follow-up of the SLOSH study. Int Arch Occup Environ Health 2019; 92:717–728.
Sociology, I. of M. (no date) Technostress at work and mental health: Concepts and... : Current opinion in psychiatry,LWW.Availableat:https://journals.lww.com/copsychiatry/fulltext/2020/07000/technostress_at_work_and_mental_health__concepts.16.aspx (Accessed: 06 January 2024).
Shanafelt TD, Dyrbye LN, Sinsky C, et al. Relationship between clerical burden and characteristics of the electronic environment with physician burnout and professional satisfaction. Mayo Clin Proc 2016; 91 (7): 836–48.
Linzer M, Poplau S, Babbott S, et al. Worklife and wellness in academic general internal medicine: results from a national survey. J Gen InternMed 2016; 31 (9): 1004–10.
Friedberg MW, Chen PG, Van Busum KR, et al. Factors Affecting Physician Professional Satisfaction and Their Implications for Patient Care, Health Systems, and Health Policy. Santa Monica, CA: RAND Corporation; 2013.
Linzer M, Manwell LB, Williams ES, et al.; MEMO (Minimizing Error, Maximizing Outcome) Investigators. Working conditions in primary care: physician reactions and care quality. Ann Intern Med 2009; 151 (1):28–36, W6–9.
Sinsky CA, Dyrbye LN, West CP, et al. Professional satisfaction, and the career plans of US physicians. Mayo Clin Proc 2017; 92 (11): 1625–35.
Kroth PJ, Morioka-Douglas N, Veres S, et al. The electronic elephant in the room: Physicians and the electronic health record. JAMIA Open 2018; 1 (1): 49–56.
Babbott S, Manwell LB, Brown R, et al. Electronic medical records, and physician stress in primary care: results from the MEMO Study. J AMMed Inform Assoc 2014; 21 (e1): e100–6.
Poissant L, Pereira J, Tamblyn R, et al. The impact of electronic health records on time efficiency of physicians and nurses: a systematic review. J Am Med Inform Assoc 2005; 12 (5): 505–16.
Feblowitz JC, Wright A, Singh H, et al. Summarization of clinical information: a conceptual model. J Biomed Inform 2011; 44 (4): 688–99.
Pelland KD, Baier RR, Gardner RL. It’s like texting at the dinner table”: a qualitative analysis of the impact of electronic health records on patient-physician interaction in hospitals. J Innov Health Inform 2017; 24 (2): 894.
Toll E. A piece of my mind. The cost of technology. JAMA 2012; 307 (23): 2497–8.
Neuhaus, A.; Lechleiter, P.; Sonntag, K. Meausres and Recommendations for Healthy Work Practices of Tomorrow (MEgA). Available online: https://gesundearbeit-mega.de/sites/gesundearbeit-mega.de/files/u29/literaturreview.pdf
Mache, S.; Harth, V. Digital transformation in the world of work and mental health. Zbl. Arbeitsmed 2019, 70, 180–184.
Nohl-Deryk, P.; Brinkmann, J.K.; Gerlach, F.M.; Schreyögg, J.; Achelrod, D. Barriers to the digitalization of healthcare in Germany: A survey of experts. Gesundheitswesen 2018, 80, 939–945.
Wu, J.-H.; Chen, Y.-C.; Greenes, R.A. Healthcare technology management competency and its impacts on IT–healthcare partnerships development. Int. J. Med. Inf. 2009, 78, 71–82.
Sensmeier, J. Transforming nursing practice through technology and informatics. J. Nurs. Manag. 2011, 42, 20–23.
Gastaldi, L.; Corso, M. Smart healthcare digitalization: Using ICT to effectively balance exploration and exploitation within hospitals. Int. J. Eng. Bus. Manag. 2012, 4, 9.
Neumann,K.RolandBerger.Available online: https://www.rolandberger.com/de/Insights/Publications/Digitalisierung-im-Gesundheitswesen-Handeln-statt-sondieren.html
Venkatramani, V. Urovision 2020: The future of urology. Indian J. Urol. 2015, 31, 150–155.
Loch, T.; Witzsch, U.; Reis, G. Digital transformation in urology-opportunity, risk or necessity? Urol. A 2021, 60, 1125–1140.
Bernstein, D.E.; Bernstein, B.S. Urological technology: Where will we be in 20 years? Ther. Adv. Urol. 2018, 10, 235–242.
Bakker, A.B.; Demerouti, E. The job demands-resources model: State of the art. J. Manag. Psychol. 2007, 22, 309–328.
Demerouti, E. Job Demands-Resources Theory: Taking Stock and Looking Forward. J. Occup. Health Psychol. 2016, 22, 273–285.
Chênevert, D.; Kilroy, S.; Johnson, K.; Fournier, P.-L. The determinants of burnout and professional turnover intentions among Canadian physicians: Application of the job demands-resources model. BMC Health Serv. Res 2021, 21, 993.
Krämer, T.; Schneider, A.; Spieß, E.; Angerer, P.; Weigl, M. Associations between job demands, work-related strain and perceived quality of care: A longitudinal study among hospital physicians. Int. J. Qual. Health Care 2016, 28, 824–829.
Zhang, S.; Shi, Y.; Liu, B.; Wang, H.; Zhao, X.; Wang, X.; Sun, T. Job demands and resources and their relationship with satisfaction and thriving at work in a sample of Chinese doctors: A cross-sectional study. BMJ Open 2021, 11, e045745.
Scheepers, R.; Silkens, M.; van den Berg, J.; Lombarts, K. Associations between job demands, job resources, and patient-related burnout among physicians: Results from a multicentre observational study. BMJ Open 2020, 10, e038466.
Pastores, S.M.; Kvetan, V.; Coopersmith, C.M.; Farmer, J.C.; Sessler, C.; Christman, J.W.; D’Agostino, R.; Diaz-Gomez, J.; Gregg, S.R.; Khan, R.A. Workforce, workload, and burnout among intensivists and advanced practice providers: A narrative review. Crit. Care Med. 2019, 47, 550–557.
West, C.P.; Dyrbye, L.N.; Shanafelt, T.D. Physician burnout: Contributors, consequences, and solutions. J. Intern. Med. 2018, 283, 516–529.
Gluschkoff, K.; Hakanen, J.; Elovainio, M.; Vänskä, J.; Heponiemi, T. The relative importance of work-related psychosocial factors in physician burnout. Occup. Med. 2022, 72, 28–33.
International Statistical Classification of Diseases and Related Health Problems (11th ed.). Available online: https://icd.who.int/browse11/l-m/en#/http://id.who.int/icd/entity/129180281
Shoureshi, P.; Guerre, M.; Seideman, C.A.; Callejas, D.G.; Amling, C.L.; Bassale, S.; Chouhan, J.D. Addressing Burnout in Urology: A Qualitative Assessment of Interventions. Urol. Pract. 2022, 9, 101–107.
Cheng, J.W.; Wagner, H.; Hernandez, B.C.; Hu, B.R.; Ko, E.Y.; Ruckle, H.C. Stressors and coping mechanisms related to burnout within urology. Urology 2020, 139, 27–36.
Beschoner, P.; Limbrecht-Ecklundt, K.; Jerg-Bretzke, L. Mental health among physicians: Burnout, depression, anxiety, and substance abuse in the occupational context. Nervenarzt 2019, 90, 961–974.
Nauheim, J.; North, A.C. An Updated Review on Physician Burnout in Urology. Urol. Clin. N. Am. 2021, 48, 173–178.
Böhle, A.; Baumgärtel, M.; Götz, M.L.; Müller, E.H.; Jocham, D. Burn-out of urologists in the county of Schleswig-Holstein, Germany: A comparison of hospital and private practice urologists. J. Urol. 2001, 165, 1158–1161.
Marchalik, D.; Brems, J.; Rodriguez, A.; Lynch, J.H.; Padmore, J.; Stamatakis, L.; Krasnow, R. The Impact of Institutional Factors on Physician Burnout: A National Study of Urology Trainees. Urology 2019, 131, 27–35.
Rodríguez-Socarrás, M.; Kingo, P.S.; Uvin, P.; Østergren, P.; Patruno, G.; Edison, E.; Kasivisvanathan, V.; Vásquez, J.L.; Esperto, F.; Rivas, J.G. Lifestyle among urology trainees and young urologist in the context of burn-out syndrome. Actas Urológicas Españolas 2020, 44, 19–26.
Fainberg, J.; Lee, R.K. What Is Underlying Resident Burnout in Urology and What Can Be Done to Address This? Curr. Urol. Rep. 2019, 20, 62.
Panagioti, M.; Panagopoulou, E.; Bower, P.; Lewith, G.; Kontopantelis, E.; Chew-Graham, C.; Dawson, S.; Van Marwijk, H.; Geraghty, K.; Esmail, A. Controlled interventions to reduce burnout in physicians: A systematic review and meta-analysis. JAMA Intern. Med. 2017, 177, 195–205.
Bahr, T.J., Ginsburg, S., Wright, J.G. and Shachak, A., 2023. Technostress as a source of physician burnout: An exploration of the associations between technology usage and physician burnout. International Journal of Medical Informatics, 177, p.105147.
Ter Hoeven, C.L. and Van Zoonen, W., 2015. Flexible work designs and employee well‐being: Examining the effects of resources and demands. New Technology, Work and Employment, 30(3), pp.237-255.
James, K.L., Barlow, D., Bithell, A., Hiom, S., Lord, S., Oakley, P., Pollard, M., Roberts, D., Way, C. and Whittlesea, C., 2013. The impact of automation on pharmacy staff experience of workplace stressors. International Journal of Pharmacy Practice, 21(2), pp.105-116.
Kushlev, K. and Dunn, E.W., 2015. Checking email less frequently reduces stress. Computers in Human Behavior, 43, pp.220-228.
Leung, L. and Zhang, R., 2017. Mapping ICT use at home and telecommuting practices: A perspective from work/family border theory. Telematics and Informatics, 34(1), pp.385-396.
Castanheira, F. and Chambel, M.J., 2010. Reducing burnout in call centers through HR practices. Human Resource Management, 49(6), pp.1047-1065.
Rietzschel, E.F., Slijkhuis, M. and Van Yperen, N.W., 2014. Close monitoring as a contextual stimulator: How need for structure affects the relation between close monitoring and work outcomes. European Journal of Work and Organizational Psychology, 23(3), pp.394-404.
Downloads
Published
How to Cite
Issue
Section
License
Copyright (c) 2024 Marwan Babiker et.al

This work is licensed under a Creative Commons Attribution 4.0 International License.