Abstract
The Coronavirus disease of 2019 COVID-19) is the current health crisis in the world- a new, complex phenomenon that has affected and hospitalized many people around the world. Health care providers deal with COVID-19 patients daily and care for the patients while there is no definitive cure for it. Clinical decision-making is an important task of health professionals that plays an essential role in preserving the patient's life and providing quality care. Therefore, understanding clinical decision-making approaches by healthcare providers, such as nurses and physicians, especially in crises such as COVID-19, is essential.
Introduction
The Coronavirus disease of 2019 (COVID-19) pandemic is the current health crisis in the world1. The pandemic has affected people of all nations, continents, races, and socioeconomic groups2. By September 08, 2020, about 27,332,199 patients in the word were affected by severe acute respiratory syndrome, about 893,700 nationwide deaths had been reported due to COVID-19, about 19,410,434 COVID-19 patients had recovered and were discharged from hospitals, and more people with severe conditions were still hospitalized (WHO, 2020). Despite worldwide preventive measures, as well as individual and public precautions, significant numbers of people were still infected, hospitalized, and dying around the world. The global COVID-19 mortality rate is between 3% and 15%1.
The treatment team includes nurses and physicians as the front line of care, and their quality of practice is a meaningful indicator of quality of care across healthcare systems3. They provide a substantial role in the care of COVID-19 patients. However, there is no guideline for patient care and clinical decision-making for nurses during the COVID-19 crisis.
Clinical decision-making is a phenomenon that is fundamental to healthcare practice. It influences the entire spectrum of healthcare practitioners and nurses as frontline clinicians are faced with important clinical decisions on a daily basis4. The overall goal of clinical decision-making is to provide the highest quality of patient care based on the available resources. Nurses are accountable for saving lives of patients, the general public, the profession, and the organizations in which they work. Therefore, it is essential to have an understanding of their clinical decision-making approaches, especially in crises such as COVID-19.
In the literature, two models of decision-making have been widely recognized: the information-processing model (analytical model) and the intuitive-humanist model (intuitive model)5. Analytical thinking is a logical and linear model of thinking that focuses on objective data. Intuitive thinking is an unconscious process that occurs rapidly and is rooted in experience and emotion6. Researchers have indicated that relying on intuition in decision-making can be more effective, reliable, and trustworthy compared to using objective data and logical thinking. They believe that the outcomes of intuitive thinking are comparable with analytical thinking, but information processing and cognitive efforts in intuitive thinking are faster and more efficient7, 8. In life-threatening conditions and crises, as well as situations wherein there is a need for creativity and innovation, nurses use intuition in their decision-making. Evidence also indicates that in complicated clinical situations due to ethical conflicts, nurses benefit from intuition for moral decision-making and best practices9. Therefore, in critical health conditions, intuition is essential for caregivers to improve quality of care, manage crises, and diagnose patients’ conditions, as well as to help reduce mortality rates10. Currently, nurses around the world are dealing with COVID-19, a disease that continuously demonstrates a variety of unknown and newly-known features. In this condition, because of a lack of knowledge and clinical guidelines, nurses’ clinical decision-making and use of intuition in their decision-making play an important role in management of the disease outcomes and community health. Clinical decision-making methods are especially important in critical care units. For example, among ICU nurses who provide care for severely ill or injured patients, accuracy and speed are exclusively crucial, which should be considered in clinical decision-making and practice11.
Nursing practice related to COVID-19 is a new experience; thus, there is a lack of knowledge about approaches of clinical decision-making. Intuition is recognized as an important type of knowledge and a valid method of knowledge in clinical practice. Indeed, intuition is linked to improved clinical judgment, effective decision-making, and overcoming crises. Taking all the statements into account, in novel and complex conditions, such as the COVID-19 crisis where there is a lack in knowledge, intuition can be used to improve clinical decision-making. To realize and use intuition in clinical decision-making practices, we need to examine the process and how it is used in critical situations in the clinic, integrating live experiences into the body of knowledge, and developing theories to describe it. Therefore, the attention of researchers and clinical managers should be increasingly drawn to this important decision-making approach in the care of COVID-19 patients.
Abbreviations
COVID-19: Coronavirus disease 2019
Acknowledgments
This study approved by the Research Deputy of Kashan University of Medical Sciences, Grant No: 98102. The researchers would like to express their gratitude to the nurses of hospitals of Kashan, Iran.
Author’s contributions
All authors equally contributed in this article. All authors read and approved the final manuscript.
Funding
None.
Availability of data and materials
Not applicable.
Ethics approval and consent to participate
Not applicable.
Consent for publication
Not applicable.
Competing interests
The authors declare that they have no competing interests.
References
-
Liao X, Wang B, Kang Y. Novel coronavirus infection during the 2019-2020 epidemic: preparing intensive care units-the experience in Sichuan Province, China. Intensive care medicine.
2020;
46
(2)
:
357-360
.
View Article PubMed Google Scholar -
Shanafelt T, Ripp J, Trockel M. Understanding and addressing sources of anxiety among health care professionals during the COVID-19 pandemic. Jama.
2020;
323
(21)
:
2133-2134
.
View Article PubMed Google Scholar -
Mo Y, Deng L, Zhang L, Lang Q, Liao C, Wang N, Qin M, Huang H. Work stress among Chinese nurses to support Wuhan in fighting against COVID‐19 epidemic. Journal of Nursing Management.
2020;
28
(5)
:
1002-1009
.
View Article PubMed Google Scholar -
Tanner CA. Thinking like a nurse: A research-based model of clinical judgment in nursing. Journal of nursing education.
2006;
45
(6)
:
204-211
.
View Article PubMed Google Scholar -
Banning M. A review of clinical decision making: models and current research. Journal of clinical nursing.
2008;
17
(2)
:
187-195
.
-
Chilcote DR. Intuition: A concept analysis. In Nursing Forum. 2017;
52
(1)
:
62-67
.
-
Kahneman D, Klein G. Conditions for intuitive expertise: a failure to disagree. American psychologist.
2009;
64
(6)
:
515
.
View Article PubMed Google Scholar -
Waks LJ. Intuition in education: Teaching and learning without thinking. Philosophy of Education Archive.
2006;
:
379-388
.
-
Sofaer B. Enhancing humanistic skills: an experiential approach to learning about ethical issues in health care. Journal of medical ethics.
1995;
21
(1)
:
31-34
.
View Article PubMed Google Scholar -
Demir Y, Denat Y, Khorshid L, Eser I. Cultural validation of the "use of intuition by nursing students scale-Turkish version". Journal of Transcultural Nursing.
2012;
23
(4)
:
369-376
.
View Article PubMed Google Scholar -
Valiee S, Negarandeh R, Dehghan Nayeri N. Exploration of Iranian intensive care nurses' experience of end‐of‐life care: a qualitative study. Nursing in critical care.
2012;
17
(6)
:
309-315
.
View Article PubMed Google Scholar
Comments
Downloads
Article Details
Volume & Issue : Vol 7 No 10 (2020)
Page No.: 4056-4057
Published on: 2020-10-31
Citations
Copyrights & License
This work is licensed under a Creative Commons Attribution 4.0 International License.
Search Panel
Pubmed
Google Scholar
Pubmed
Google Scholar
Pubmed
Search for this article in:
Google Scholar
Researchgate
- HTML viewed - 5381 times
- Download PDF downloaded - 1637 times
- View Article downloaded - 0 times