Abstract
Digitalization and technology are interventions seen as a solution to the increasing demand for healthcare services, but the associated changes of the services are characterized by multiple challenges. A work-integrated learning approach implies that the learning outcome is related to the learning environment and the learning affordances available at the actual workplace. To shape workplace affordances it is of great importance to get a deeper understanding of the social practices. This paper will explore a wide range of managers’ and professionals’ emotions, moods and feelings related to digitalization and new ways of providing healthcare services, as well as the professionals’ knowledge and experiences. Zhang’s affective response model (ARM) will be used as a systematic approach and framework to gain knowledge of how professionals and managers experience and experience digitization of municipal health services. The research question is: How can knowledge about dark sides of technology reduce barriers to work-integrated learning?
This paper is based on a longitudinal study with a qualitative approach. Focus group discussions were used as method for collecting data. The findings and themes crystallized through the content analysis were then applied to the Affective Response Model as a systematic approach to gain more knowledge about professionals and managers’ experiences and how that knowledge can reduce the barriers to work-integrated learning. Understanding of, and consciousness about the dark sides of technology and the professionals’ affective responses may support the digitalization of the sector and the development of the new ways of providing healthcare services.
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References
Blix, M.: Framtidens välfärd och den åldrande befolkningen. Delutredning från Framtidskommissionen. Regeringskansliet, Stockholm (2013)
Chidzambwa, L.: The social considerations for moving health services into the home: a telecare perspective. Health Policy Technol. 2, 10–25 (2013). https://doi.org/10.1016/j.hlpt.2012.12.003
Hofmann, B.: Ethical challenges with welfare technology: a review of the literature. Sci. Eng. Ethics 19, 389–406 (2013). https://doi.org/10.1007/s11948-011-9348-1
Nilsen, E.R., et al.: Exploring resistance to implementation of welfare technology in municipal healthcare services - a longitudinal case study. BMC Health Serv. Res. 16 (2016). https://doi.org/10.1186/s12913-016-1913-5
Cresswell, K., Sheikh, A.: Organizational issues in the implementation and adoption of health information technology innovations: an interpretative review. Int. J. Med. Inform. 82, e73–e86 (2013). https://doi.org/10.1016/j.ijmedinf.2012.10.007
Lindberg, I., Lindberg, B., Söderberg, S.: Patients’ and healthcare personnel’s experiences of health coaching with online self-management in the renewing health project. Int. J. Telemed. Appl. 2017 (2017). https://doi.org/10.1155/2017/9306192
Marasinghe, K.M.: Assistive technologies in reducing caregiver burden among informal caregivers of older adults: a systematic review. Disabil. Rehabil. Assistive Technol. 11, 353–360 (2016). https://doi.org/10.3109/17483107.2015.1087061
Xyrichis, A., et al.: Healthcare stakeholders’ perceptions and experiences of factors affecting the implementation of critical care telemedicine (CCT): qualitative evidence synthesis. Cochrane Database Syst. Rev. 2017 (2017). https://doi.org/10.1002/14651858.CD012876
Abbott, C., et al.: Emerging issues and current trends in assistive technology use 2007–2010: practising, assisting and enabling learning for all. Disabil. Rehabil. Assistive Technol. 9, 453–462 (2014). https://doi.org/10.3109/17483107.2013.840862
Black, A.D., et al.: The impact of eHealth on the quality and safety of health care: a systematic overview. PLoS Med. 8, e1000387 (2011). https://doi.org/10.1371/journal.pmed.1000387
Tarafdar, M., Cooper, C.L., Stich, J.-F.: The technostress trifecta - techno eustress, techno distress and design: theoretical directions and an agenda for research. 29, 6–42 (2019). https://doi.org/10.1111/isj.12169
Billett, S.: The clinical teacher’s toolbox. Readiness and learning in health care education. Clin. Teach. 12, 367–372 (2015). https://doi.org/10.1111/tct.12477
Cortellazzo, L., Bruni, E., Zampieri, R.: The role of leadership in a digitalized world: a review. Front. Psychol. 10 (2019). https://doi.org/10.3389/fpsyg.2019.01938
Gjestsen, M.T., Wiig, S., Testad, I.: What are the key contextual factors when preparing for successful implementation of assistive living technology in primary elderly care? A case study from Norway. BMJ Open 2017, e015455 (2017). https://doi.org/10.1136/bmjopen-2016-01545
Barakat, A., et al.: eHealth technology competencies for health professionals working in home care to support older adults to age in place: outcomes of a two-day collaborative workshop. Medicine 2.0 2, e10 (2013). https://doi.org/10.2196/med20.2711
Lapão, L.: Digitalization of healthcare: where is the evidence of the impact on healthcare workforce’ performance? In: Ugon, A., et al. (eds.) Building Continents of Knowledge in Oceans of Data. The Future of Co-created eHealth, pp. 646–650. IOS Press (2018)
Olsen, D.S., Tikkanen, T.: The developing field of workplace learning and the contribution of PIAAC. Int. J. Lifelong Educ. 37, 546–559 (2018). https://doi.org/10.1080/02601370.2018.1497720
Skule, S.: Learning conditions at work: a framework to understand and assess informal learning in the workplace. Int. J. Train. Dev. 8, 8–20 (2004). https://doi.org/10.1111/j.1360-3736.2004.00192.x
Ellström, P.-E.: Integrating learning and work: problems and prospects. Hum. Resour. Dev. Q. 12, 421–435 (2001). https://doi.org/10.1002/hrdq.1006
Hattinger, M., et al.: Work-integrated learning and co-creation of knowledge: design of collaborative technology enhanced learning activities. In: Ghazawneh, A., Nørbjerg, J., Pries-Heje, J. (eds.) Proceedings of the 37th Information Systems Research Seminar in Scandinavia (IRIS 37), pp. 1–15 (2014)
Pennbrant, S., Nunstedt, H.: The work-integrated learning combined with the portfolio method-a pedagogical strategy and tool in nursing education for developing professional competence. J. Nurs. Educ. Pract. 8, 8–15 (2017). https://doi.org/10.5430/jnep.v8n2p8
Pennbrant, S., Svensson, L.: Nursing and learning – healthcare pedagogics and work-integrated learning. High. Educ. Skills Work-Based Learn. 8, 179–194 (2018). https://doi.org/10.1108/HESWBL-08-2017-0048
Billett, S.: Learning through work: workplace affordances and individual engagement. J. Workplace Learn. 13, 209–214 (2001). https://doi.org/10.1108/EUM0000000005548
Billett, S.: Workplace participatory practices: conceptualising workplaces as learning environments. J. Workplace Learn. 16, 312–424 (2004). https://doi.org/10.1108/13665620410550295
Chen, H.C., et al.: Legitimate workplace roles and activities for early learners. Med. Educ. 48, 136–145 (2014). https://doi.org/10.1111/medu.12316
Chen, H.C., Teherani, A.: Workplace affordances to increase learner engagement in the clinical workplace. Med. Educ. 49, 1184–1186 (2015). https://doi.org/10.1111/medu.12888
Billett, S., Smith, R., Barker, M.: Understanding work, learning and the remaking of cultural practices. Stud. Continuing Educ. 27, 219–237 (2005). https://doi.org/10.1080/01580370500376564
Rienties, B., et al.: Why some teachers easily learn to use a new virtual learning environment: a technology acceptance perspective. Interact. Learn. Environ. 24, 539–552 (2016). https://doi.org/10.1080/10494820.2014.881394
Zhang, P.: The affective response model: a theoretical framework of affective concepts and their relationships in the ICT context. Manag. Inf. Syst. Q. (MISQ) 37, 247–274 (2013). https://doi.org/10.25300/MISQ/2013/37.1.11
Agogo, D., Hess, T.J.: “How does tech make you feel?” A review and examination of negative affective responses to technology use. Eur. J. Inf. Syst. 27, 570–599 (2018). https://doi.org/10.1080/0960085X.2018.1435230
Bhattacherjee, A., et al.: User response to mandatory IT use: a coping theory perspective. Eur. J. Inf. Syst. 27, 395–414 (2018). https://doi.org/10.1057/s41303-017-0047-0
Pirkkalainen, H., Salo, M.: Two decades of the dark side in the information systems basket: suggesting five areas for future research. In: Proceedings of the 24th European Conference on Information Systems, ECIS 2016, p. 101 (2016)
Shubber, M., et al.: Acceptance of video conferencing in healthcare planning in hospitals. In: Proceedings of the Association for Information Systems, AMCIS 2018 (2018)
Charness, N., Boot, W.R.: Technology, gaming, and social networking. In: Schaie, K.W., Willis, S.L. (eds.) Handbook of the Psychology of Aging, pp. 389–407. Academic Press, San Diego (2016)
Thrift, N.: Knowing Capitalism. SAGE Publications Ltd., Thousand Oaks (2005)
Myers, M.D.: Qualitative Research in Business and Management, 3rd edn. SAGE Publications Limited, Thousand Oaks (2019)
Bryman, A.: Social Research Methods, 5th edn. Oxford University Press, Oxford (2016)
Brandt, B.: Gruppeintervju: perspektiv, relasjoner og kontekst [Group interviews: perspectives, relations and context]. In: Kalleberg, R., Holter, H. (eds.) Kvalitative metoder i samfunnsforskning [Qualitative methods in social science research], pp. 145–165. Universitetsforlaget, Oslo (1996)
Andvig, B.: Förändran i hermeneutisk forskning – ett exempel från fokusgruppsamtal [Wondering in hermeneutic research: An example from focus group interviews]. In: Lassenius, E., Severinsson, E. (eds.) Hermeneutik i vårdpraxis: det nära, det flyktiga, det dolda [Hermeneutics in care practice], pp. 197–209. Gleerups Utbildning AB, Malmö (2014)
Graneheim, U.H., Lindgren, B.-M., Lundman, B.: Methodological challenges in qualitative content analysis: a discussion paper. Nurse Educ. Today 56, 29–34 (2017). https://doi.org/10.1016/j.nedt.2017.06.002
Malterud, K.: The art and science of clinical knowledge: evidence beyond measures and numbers. Lancet 358, 397–400 (2001). https://doi.org/10.1016/S0140-6736(01)05548-9
Mort, M., Finch, T., May, C.: Making and unmaking telepatients: identity and governance in new health technologies. Sci. Technol. Hum. Values 34, 9–33 (2009). https://doi.org/10.1177/0162243907311274
Piras, E.M., Miele, F.: On digital intimacy: redefining provider–patient relationships in remote monitoring. Sociol. Health Illness 41, 116–131 (2019). https://doi.org/10.1111/1467-9566.12947
Lluch, M.: Healthcare professionals’ organisational barriers to health information technologies-a literature review. Int. J. Med. Inform. 80, 849–862 (2011). https://doi.org/10.1016/j.ijmedinf.2011.09.005
Pijl-Zieber, E.M., et al.: Competence and competency-based nursing education: finding our way through the issues. Nurse Educ. Today 34, 676–678 (2014). https://doi.org/10.1016/j.nedt.2013.09.007
Acknowledgements
The project has received support from the European Regional Development Fund through the Interreg Sverige-Norge. The authors wish to acknowledge the contributions of managers and professionals as participants in the preliminary project as well as longitudinal study reported above. As part of the project group Nina Fladeby, Kerstin Grundén and Lena Larsson being part of collecting and analysing of data.
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Gjellebæk, C., Svensson, A., Bjørkquist, C. (2020). The Dark Sides of Technology - Barriers to Work-Integrated Learning. In: Schmorrow, D., Fidopiastis, C. (eds) Augmented Cognition. Human Cognition and Behavior. HCII 2020. Lecture Notes in Computer Science(), vol 12197. Springer, Cham. https://doi.org/10.1007/978-3-030-50439-7_5
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