Effective Communication in Transition Care During Shift Change | SpringerLink
Skip to main content

Effective Communication in Transition Care During Shift Change

  • Conference paper
  • First Online:
Progress in Artificial Intelligence (EPIA 2022)

Abstract

The aim of this study is to examine the effective communication process during shift changes in a transitional care unit; communication should be clear, concise and relevant. The caregivers should be able to understand their mates needs and wants, and they should understand what is happening. Indeed, it will be study if there is inconsistency in the communication process during shift change, since there are some factors that could be affecting the consistency, such as inadequate time for communication, lack of awareness about the needs of other team members and unclear expectations from managers, a process carried out by interviewing employees who have experience in transitional care. The interviewees are asked about their past experiences and what they think are the most important points for effective communication. No doubt this article will discuss the communication challenges and opportunities that arise when a caregiver transfers care from one shift to the next, with effective communication being the key. On the other hand, in this work is also set a Logic Programming based framework that nurses may use to optimize their insight into how caregivers may make their communication more effective by understanding the needs of both parties involved in the shift change process.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Subscribe and save

Springer+ Basic
¥17,985 /Month
  • Get 10 units per month
  • Download Article/Chapter or eBook
  • 1 Unit = 1 Article or 1 Chapter
  • Cancel anytime
Subscribe now

Buy Now

Chapter
JPY 3498
Price includes VAT (Japan)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
JPY 5719
Price includes VAT (Japan)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
JPY 7149
Price includes VAT (Japan)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Similar content being viewed by others

References

  1. Alert, S.E.: Inadequate hand-off communication. Sentinel Event Alert 58, 1–6 (2017)

    Google Scholar 

  2. Beigmoradi, S., Pourshirvani, A., Pazokian, M., Nasiri, M.: Evaluation of nursing handoff skillamong nurses using situation-background-assessment-recommendation checklist in general wards. Evid. Based Care J. 9, 63–68 (2019)

    Google Scholar 

  3. Chapman, Y., Schweickert, P., Swango-Wilson, A., Aboul-Enein, F., Heyman, A.: Nurse satisfaction with information technology enhanced bedside handoff. Medsurg Nurs. 25, 313–318 (2016)

    Google Scholar 

  4. Müller, M., Jürgens, J., Redaèlli, M., Klingberg, K., Hautz, W., Stocket, S.: Impact of the communication and patient hand-off tool SBAR on patient safety: a systematic review. BMJ Open 8(8), e022202 (2018)

    Article  Google Scholar 

  5. DGS. https://www.dgs.pt/directrizes-da-dgs/normas-e-circulares-normativas/norma-n-0012017-de-08022017-pdf.aspx. Accessed 21 Apr 2022

  6. Stewart, K.: SBAR, communication, and patient safety: an integrated literature review. Honors Theses, University of Tennessee, Chattanooga, USA (2016)

    Google Scholar 

  7. De Meester, K., Verspuy, M., Monsieurs, K.G., Van Bogaert, P.: SBAR improves nurse – physician communication and reduces unexpected death: A pre and post intervention study. Resuscitation 84, 1192–1196 (2013)

    Article  Google Scholar 

  8. Superville, J.: Standardizing Nurse-to-Nurse Patient Handoffs in a Correctional Healthcare Setting: A Quality Improvement Project to Improve End-of-Shift Nurse-to-Nurse Communication Using the SBAR I-5 Handoff Bundle. The University of North Carolina, Chapel Hill, USA (2017)

    Google Scholar 

  9. Neves, J., et al.: A multi-valued logic assessment of organizational performance via workforce social networking. In: Deze, Z., Huang, H., Hou, R., Rho, S., Chilamkurti, N. (eds.) Big Data Technologies and Applications. LNICSSITE, vol. 371, pp. 63–77. Springer, Cham (2021). https://doi.org/10.1007/978-3-030-72802-1_5

    Chapter  Google Scholar 

  10. Neves, J., et al.: Entropy and organizational performance. In: Pérez García, H., Sánchez González, L., Castejón Limas, M., Quintián Pardo, H., Corchado Rodríguez, E. (eds.) Hybrid Artificial Intelligent Systems. Lecture Notes in Computer Science, vol. 11734, pp. 206–217. Springer, Cham (2019). https://doi.org/10.1007/978-3-030-29859-3_18

    Chapter  Google Scholar 

  11. Wenterodt, T., Herwig, H.: The entropic potential concept: a new way to look at energy transfer operations. Entropy 16, 2071–2084 (2014)

    Article  Google Scholar 

  12. Neves, J., et al.: Employees balance and stability as key points in organizational performance. Logic J. IGPL (2021). https://doi.org/10.1093/jigpal/jzab010

  13. Neves, J.: A logic interpreter to handle time and negation in logic databases. In: Muller, R., Pottmyer, J. (eds.) Proceedings of the 1984 Annual Conference of the ACM on the 5th Generation Challenge, pp. 50–54. ACM, New York (1984)

    Google Scholar 

Download references

Acknowledgments

This work has been supported by FCT – Fundação para a Ciência e Tecnologia within the R&D Units Project Scope: UIDB/00319/2020.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to José Neves .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2022 The Author(s), under exclusive license to Springer Nature Switzerland AG

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Fernandes, F. et al. (2022). Effective Communication in Transition Care During Shift Change. In: Marreiros, G., Martins, B., Paiva, A., Ribeiro, B., Sardinha, A. (eds) Progress in Artificial Intelligence. EPIA 2022. Lecture Notes in Computer Science(), vol 13566. Springer, Cham. https://doi.org/10.1007/978-3-031-16474-3_33

Download citation

  • DOI: https://doi.org/10.1007/978-3-031-16474-3_33

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-031-16473-6

  • Online ISBN: 978-3-031-16474-3

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics