gms | German Medical Science

GMS Journal for Medical Education

Gesellschaft für Medizinische Ausbildung (GMA)

ISSN 2366-5017

Clinical reasoning – an approach for decision-making in education and training for biomedical scientists

short communication Clinical Reasoning

  • corresponding author Angelika Homberg - Universitätsklinikum Heidelberg, Abteilung Allgemeinmedizin und Versorgungsforschung, Heidelberg, Germany
  • author Heidi Oberhauser - fh gesundheit, Bachelor/Master Biomedizinische Analytik, Innsbruck, Austria
  • author Sylvia Kaap-Fröhlich - Careum Stiftung, Bereich Bildungsentwicklung, Zürich, Switzerland

GMS J Med Educ 2019;36(6):Doc81

doi: 10.3205/zma001289, urn:nbn:de:0183-zma0012893

This is the English version of the article.
The German version can be found at: http://www.egms.de/de/journals/zma/2019-36/zma001289.shtml

Received: April 15, 2018
Revised: November 5, 2018
Accepted: February 6, 2019
Published: November 15, 2019

© 2019 Homberg et al.
This is an Open Access article distributed under the terms of the Creative Commons Attribution 4.0 License. See license information at http://creativecommons.org/licenses/by/4.0/.


Abstract

Aim: Explicitly addressing clinical reasoning (CR) is seen as a promising opportunity in the teaching of the biomedical sciences to enable students to acquire the skills to meet the challenges posed by ever more complex health care processes. The quality of diagnostic decisions plays an essential role here. Our aim is to examine if biomedical scientists recognize the practical relevance of CR and are able to apply it as a reflective framework for their professional practice.

Method: In two different educational settings, biomedical science students were asked to look closely at CR in the context of the degree program and to indentify the different forms of reasoning used in their internships and professional practice. The written descriptions were analyzed for content and discussed in the seminars.

Results: In both scenarios, the analyses of the students’ descriptions and discussions showed that examining the different forms of CR helped to raise conscious awareness of thought and decision-making processes, encouraging students to think critically about them and to articulate insights about them, as well as recognize the importance of different reasoning strategies when making specific medical decisions.

Conclusion: CR for biomedical scientists could help make decision-making processes visible for other occupational groups and thus advantageously integrate specific professional expertise into health care.

Over the long term, an interdisciplinary focus on CR could foster and promote the development of a shared discourse and interprofessional collaboration.

Keywords: Problem-solving, clinical decision-making, medical education, clinical competence, interprofessional relations, clinical laboratory personnel


1. Introduction

Since health care decisions are becoming increasingly complex, there is a need to develop professional frameworks [1], [2] and for coordinated interprofessional collaboration among medical teams [3]. Concepts describing the decision-making process, such as clinical reasoning (CR), can assist such processes because the particular patterns of reasoning are made visible [4], [5], [6]. There are many definitions of CR [7], [8]. Generally, what is meant are the complex thinking processes engaged in by health care professionals, to which expertise, cognition and meta-cognition, and hypothetico-deductive approaches are central. Different forms of reasoning are categorized [6] in the literature with emphasis on various aspects such as ethics, interaction and relevance to science [7], [9], [10].

In Germany, CR in medical education has been more implicitly taught, even though the explicit embedding of CR in the curriculum appears very promising [11], [12], [13]. In the therapeutic occupations, such as physiotherapy and occupational therapy, a more direct grappling with CR has had a long tradition and has been anchored in the curriculum in many ways [7], [14], [15], [16], [17]. Forms of CR are described in the practice of laboratory diagnostics which, in addition to technical and scientific aspects, emphasize the logic of clinical and patient-centered decision-making [4], [18]. These are hardly covered in the education of biomedical scientists, although these occupations assume an elementary role in the process of providing health care. They are responsible for generating valid findings to serve as the basis for subsequent clinical decisions. In regard to diagnostic processes, it has been noted that the interactive use of reasoning concepts can reduce errors [19], [20] and encourage the integration of internal evidence in the decision-making process [21]. Oberhauser outlines in a theoretical fashion how individual forms of reasoning can be applied to the practice of the biomedical sciences [22].


2. Project description and method

The model of CR according to Higgs & Jones is covered in detail with students in two selected educational settings at different universities and involving different degree programs (see table 1 [Tab. 1]). The corresponding seminars specifically address scientific, conditional, interactive, narrative, pragmatic and ethical reasoning. The aim of these seminars is to foster and encourage critical examination of the students’ own decisions and their development of professional patterns of reasoning by applying theory to reflect on practical decisions.

To investigate the transferability of the CR concept to biomedical science, assignments were given based on the degree program [23] to elicit application of theoretical knowledge to real work situations.

Ten students enrolled in the bachelor degree program in Interprofessional Healthcare at the University of Heidelberg’s School of Medicine [24], [25] were asked to describe concrete examples of the pre-analytical, analytical and post-analytical work processes for the forms of reasoning listed above and to justify each decision that was made based on what knowledge was applied.

Independently of this, 37 students in the master degree program in Biomedical Sciences at the Health University of Applied Sciences (fh gesundheit) in Innsbruck and Berlin reflected on their practical work experiences in which forms of reasoning were used and differentiated between those they were most familiar with and those that needed to be worked on and refined. In both of the degree programs these questions were processed in writing and then discussed as a group. The written texts were analyzed for content [26] (see table 2 [Tab. 2]).


3. Results

The undergraduate students studying biomedical sciences in Heidelberg were able to find concrete examples of all seven forms of reasoning in the stages of pre-analysis, analysis, and post-analysis. In addition to professional expertise acquired through education, the students specifically identified the workplace’s Standard Operating Procedures (SOP), their own experiences, and the sharing of information among colleagues as comprising the body of knowledge on which their reasoning was based. In respect to ethical reasoning, the students also identified their own discretion as playing a role. Students did not feel themselves to be sufficiently qualified to engage in interactive or ethical reasoning.

The graduate students in Innsbruck and Berlin were also able to recognize all of the forms of reasoning within the analytical biomedical processes of their work. The most familiar forms of reasoning for them were scientific, interactive and pragmatic reasoning (see table 3 [Tab. 3]). It is striking that, in contrast to the undergraduate students, the graduate students reported that conditional, narrative and ethical reasoning were also among the most familiar forms to them. The practical relevance of CR was acknowledged in both degree programs, and the students were successful in applying the theoretical concept to their professional practice and in reflecting upon their own decision-making processes. Due to their professional experience, the graduate students provided considerably more complex descriptions of concrete work situations than the undergraduates, as was expected. Ethical and narrative reasoning in the context of the biomedical sciences was cited in both educational settings as needing further refinement.


4. Discussion

For the participating students, the seminars were able to help raise awareness of thought and decision-making processes, encouraging the students to critically examine and articulate them in words. The students in both learning environments felt themselves to be most familiar with scientific reasoning. The students studying at the masters level possessed more professional experience and in part held leadership positions, which could explain why they felt better able to use conditional, narrative and ethical reasoning and felt better qualified to engage in interactive reasoning than the undergraduate students. Systematic reasoning for those first beginning professional practice can lead to a lack of reflection on patterns of reasoning and can mean that reasoning processes are not adapted to specific situations [27]. CR enables a complex understanding of cases and encourages diagnostic performance during education if, along with systematic practice, other perspectives are integrated into specific decision-making processes [12], [13], [19], [28], [29]. Woods describes that for diagnostic decisions which are made with increasing professional experience, the knowledge gained from that experience along with intuition are increasingly drawn upon, while basic knowledge is pushed into the background. Diagnostic errors can also happen in these cases where there is no consistent inclusion of standard knowledge in the decision-making process [30], [31]. Focus can be placed specifically on the possibility of errors when teaching CR at more advanced levels of education [32], [33]. The differentiated development and fostering of the forms of reasoning during all educational phases, including further education could contribute to balancing and successfully synthesizing different sources of knowledge and decision-making processes.


5. Conclusion

Addressing CR helps biomedical scientists to understand the complexity of professional practice, to recognize the corresponding need for professionalism and formal qualifications, and to critically analyze one’s own decision-making processes. CR for biomedical scientists can contribute to making the decision-making process visible to other occupational groups and thus integrate professional expertise advantageously into the provision of health care.

Over the long term, an interdisciplinary focus on CR could foster and promote the development of a shared discourse. Consistent, longitudinal anchoring of appropriate learning content into the undergraduate and graduate curricula of all medical and health care professions would be necessary. As such, CR represents a very promising practical model for interprofessional education.


Competing interests

The authors declare that they have no competing interests.


References

1.
Careumstiftung. Eine neue globale Initiative zur Reform der Ausbildung von Gesundheitsfachleuten - Education of Health Professionals for the 21th Century. Zürich: Careum Verlag; 2011.
2.
Bundesministerium für Bildung und Forschung. Bestandsaufnahme der Ausbildung der Gesundheitsfachberufe im europäischen Vergleich. Band 15 der Reihe Berufsbildungsforschung. Berlin: Bundesministerium für Bildung und Forschung; 2014.
3.
World Health Organization. Framework for Action on Interprofessional Education & Collaborative Practice - Health Professions Networks Nursing & Midwifery Human Resources for Health. Geneva: World Health Organization; 2010.
4.
Bordage G. Elaborated knowledge: a key to successful diagnostic thinking. Acad Med. 1994;69(11):883-885. DOI: 10.1097/00001888-199411000-00004 External link
5.
Durning S, Artino AR Jr, Pangaro L, van der Vleuten CP, Schuwirth L. Context and clinical reasoning: understanding the perspective of the expert's voice. Med Educ. 2011;45(9):927-938. DOI: 10.1111/j.1365-2923.2011.04053.x External link
6.
Klemme B, Siegmann G, editors. Clinical Reasoning: therapeutische Denkprozesse lernen. 2. ed. Stuttgart, New York: Thieme; 2015. DOI: 10.1055/b-0034-102205 External link
7.
Higgs J, Jones MA, Loftus S, Christensen N. Reasoning in the Health Professions. München: Elsevier; 2008.
8.
Young M, Thomas A, Lubarsky S, Ballard T, Gordon D, Gruppen LD, Holmboe E, Ratcliffe T, Rencic J, Schuwirth L, During SJ. Drawing Boundaries: The Difficulty in Defining Clinical Reasoning. Acad Med. 2018;93(7):990-995. DOI: 10.1097/ACM.0000000000002142 External link
9.
Feiler M. Klinisches Reasoning in der Ergotherapie. Heidelberg: Springer; 2003. DOI: 10.1007/978-3-642-55899-3 External link
10.
Mattingly C, Fleming MH. Clinical Reasoning: Forms of Inquiry in a Therapeutic Practice. Philadelpia: F.A. Davis; 1994.
11.
Harendza S, Krenz I, Klinge A, Wendt U, Janneck M. Implementation of a Clinical Reasoning Course in the Internal Medicine trimester of the final year of undergraduate medical training and its effect on students' case presentation and differential diagnostic skills. GMS J Med Educ. 2017;34(5):Doc66. DOI: 10.3205/zma001143 External link
12.
Windish DM, Price EG, Clever SL, Magaziner JL, Thomas PA. Teaching medical students the important connection between communication and clinical reasoning. J Gen Intern Med. 2005;20(12):1108-1113. DOI: 10.1111/j.1525-1497.2005.0244.x External link
13.
Al Rumayyan A, Ahmed N, Al Subait R, Al Ghamdi G, Mohammed Mahzari M, Awad Mohamed T, Rotgans JI, Donmez M, Mamede S, Schnmidt HG. Teaching clinical reasoning through hypothetico-deduction is (slightly) better than self-explanation in tutorial groups: An experimental study. Perspect Med Educ. 2018;7(2):93-99. DOI: 10.1007/s40037-018-0409-x External link
14.
Schell BAB, Schell JW. Clincal and Professional Reasoning in Occupational Therapy. London: Lippincott Williams & Wilkins; 2008.
15.
Gillette NP, Mattingly C. Clinical reasoning in occupational therapy. Am J Occup Ther. 1987;41(6):399-400. DOI: 10.5014/ajot.41.6.399 External link
16.
Kielhofner G, Burke JP. A model of human occupation, part 1. Conceptual framework and content. Am J Occup Ther. 1980;34(9):572-581. DOI: 10.5014/ajot.34.9.572 External link
17.
Chowdhury A, Bjorbaekmo WS. Clinical reasoning-embodied meaning-making in physiotherapy. Physiother Theory Pract. 2017;33(7):550-559. DOI: 10.1080/09593985.2017.1323360 External link
18.
Plebani M. The clinical importance of laboratory reasoning. Clinica Chimica Acta. 1999;280:35-45. DOI: 10.1016/S0009-8981(98)00196-X External link
19.
Pelaccia T, Tardif J, Triby E, Charlin B. An analysis of clinical reasoning through a recent and comprehensive approach: the dual-process theory. Med Educ Online. 2011;16(1). DOI: 10.3402/meo.v16i0.5890 External link
20.
Norman GR, Eva KW. Diagnostic error and clinical reasoning. Med Educ. 2010;44(1):94-100. DOI: 10.1111/j.1365-2923.2009.03507.x External link
21.
Higgs J, Burn A, Jones M. Integrating clinical reasoning and evidence-based practice. AACN Clin Issues. 2001;12(4):482-490. DOI: 10.1097/00044067-200111000-00005 External link
22.
Oberhauser H. Professional Reasoning für Biomedizinische AnalytikerInnen - Denkprozesse bewusst wahrnehmen und sichtbar machen. Biomed Austria. 2013;6:9-11.
23.
Bader R. Lernfelder konstruieren - Lernsituationen entwickeln. Berufsbild Schule. 2003;7-8(55):210-217.
24.
Mahler C, Berger SJ, Karstens S, Campbell S, Roos M, Szecsenyi J. Re-profiling today's health care curricula for tomorrow's workforce: Establishing an interprofessional degree in Germany. J Interprof Care. 2015;29(4):386-388. DOI: 10.3109/13561820.2014.979980 External link
25.
Berger S, Goetz K, Leowardi-Bauer C, Schultz JH, Szecsenyi J, Mahler C. Anchoring interprofessional education in undergraduate curricula: The Heidelberg story. J Interprof Care. 2017;31(2):175-179. DOI: 10.1080/13561820.2016.1240156 External link
26.
Mayring P. Qualitative Inhaltsanalyse: Grundlagen und Techniken. 12th rev. ed. Weinheim; Basel: Beltz; 2015.
27.
Dreyfus S, Dreyfus H. A five-Stage Model of the Mental Activities involved in Directed Skill Acquisition. Berkeley: University of California; 1980. DOI: 10.21236/ADA084551 External link
28.
Agrawal A, Stein C, Hunt D, Rodriguez M, Willett LL, Estrada C. Exercises in Clinical Reasoning: Take a Time-Out and Reflect. J Gen Intern Med. 2018;33(3):388-392. DOI: 10.1007/s11606-017-4261-1 External link
29.
Bowen JL. Educational strategies to promote clinical diagnostic reasoning. N Engl J Med. 2006;355(21):2217-2225. DOI: 10.1056/NEJMra054782 External link
30.
Woods NN. Science is fundamental: the role of biomedical knowledge in clinical reasoning. Med Educ. 2007;41(12):1173-1177. DOI: 10.1111/j.1365-2923.2007.02911.x External link
31.
Yamamoto K, Condotta L, Haldane C, Jaffrani S, Johnstone V, Jachyra P, Gibson BE, Yeung E. Exploring the teaching and learning of clinical reasoning, risks, and benefits of cervical spine manipulation. Physiother Theory Pract. 2018;34(2):91-100. DOI: 10.1080/09593985.2017.1375056 External link
32.
Audetat MC, Laurin S, Dory V, Charlin B, Nendaz MR. Diagnosis and management of clinical reasoning difficulties: Part I. Clinical reasoning supervision and educational diagnosis. Med Teach. 2017;39(8):792-796. DOI: 10.1080/0142159X.2017.1331033 External link
33.
Audetat MC, Rieder A, Sommer J. Teaching clinical reasoning is more like detective work than you might imagine. Rev Med Suisse. 2017;13(562):981-985.