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A typology of uncertainty derived from an analysis of critical incidents in medical residents: A mixed methods study

Overview of attention for article published in BMC Medical Education, November 2015
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Title
A typology of uncertainty derived from an analysis of critical incidents in medical residents: A mixed methods study
Published in
BMC Medical Education, November 2015
DOI 10.1186/s12909-015-0459-2
Pubmed ID
Authors

Alicia Hamui-Sutton, Tania Vives-Varela, Samuel Gutiérrez-Barreto, Iwin Leenen, Melchor Sánchez-Mendiola

Abstract

Medical uncertainty is inherently related to the practice of the physician and generally affects his or her patient care, job satisfaction, continuing education, as well as the overall goals of the health care system. In this paper, some new types of uncertainty, which extend existing typologies, are identified and the contexts and strategies to deal with them are studied. We carried out a mixed-methods study, consisting of a qualitative and a quantitative phase. For the qualitative study, 128 residents reported critical incidents in their clinical practice and described how they coped with the uncertainty in the situation. Each critical incident was analyzed and the most salient situations, 45 in total, were retained. In the quantitative phase, a distinct group of 120 medical residents indicated for each of these situations whether they have been involved in the described situations and, if so, which coping strategy they applied. The analysis examines the relation between characteristics of the situation and the coping strategies. From the qualitative study, a new typology of uncertainty was derived which distinguishes between technical, conceptual, communicational, systemic, and ethical uncertainty. The quantitative analysis showed that, independently of the type of uncertainty, critical incidents are most frequently resolved by consulting senior physicians (49 % overall), which underscores the importance of the hierarchical relationships in the hospital. The insights gained by this study are combined into an integrative model of uncertainty in medical residencies, which combines the type and perceived level of uncertainty, the strategies employed to deal with it, and context elements such as the actors present in the situation. The model considers the final resolution at each of three levels: the patient, the health system, and the physician's personal level. This study gives insight into how medical residents make decisions under different types of uncertainty, giving account of the context in which the interactions take place and of the strategies used to resolve the incidents. These insights may guide the development of organizational policies that reduce uncertainty and stress in residents during their clinical training.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 25 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 25 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 5 20%
Student > Master 4 16%
Student > Ph. D. Student 2 8%
Lecturer 1 4%
Professor 1 4%
Other 5 20%
Unknown 7 28%
Readers by discipline Count As %
Medicine and Dentistry 6 24%
Nursing and Health Professions 3 12%
Social Sciences 3 12%
Arts and Humanities 2 8%
Business, Management and Accounting 1 4%
Other 4 16%
Unknown 6 24%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 20 November 2015.
All research outputs
#13,450,206
of 22,832,057 outputs
Outputs from BMC Medical Education
#1,710
of 3,323 outputs
Outputs of similar age
#135,227
of 285,322 outputs
Outputs of similar age from BMC Medical Education
#35
of 61 outputs
Altmetric has tracked 22,832,057 research outputs across all sources so far. This one is in the 39th percentile – i.e., 39% of other outputs scored the same or lower than it.
So far Altmetric has tracked 3,323 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.4. This one is in the 45th percentile – i.e., 45% of its peers scored the same or lower than it.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 285,322 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 50% of its contemporaries.
We're also able to compare this research output to 61 others from the same source and published within six weeks on either side of this one. This one is in the 39th percentile – i.e., 39% of its contemporaries scored the same or lower than it.