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ORIGINAL ARTICLE |
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Year : 2017 | Volume
: 29
| Issue : 4 | Page : 223-227 |
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Analyzing the effectiveness of teaching and factors in clinical decision-making
Ming-Chen Hsieh1, Ming-Shinn Lee2, Tsung-Ying Chen3, Tsuen-Chiuan Tsai4, Yi-Fong Pai2, Min-Muh Sheu5
1 Department of Medical Education, Buddhist Tzu Chi General Hospital; Department of Medicine, College of Medicine, Tzu Chi University; Department of Education and Human Potentials Development, National Dong Hwa University, Hualien, Taiwan 2 Department of Education and Human Potentials Development, National Dong Hwa University, Hualien, Taiwan 3 Department of Medicine, College of Medicine, Tzu Chi University; Department of Education and Human Potentials Development, National Dong Hwa University, Hualien, Taiwan 4 Department of Pediatrics, Kaohsiung Medical University Hospital and Kaohsiung Medical University, Kaohsiung, Taiwan 5 Department of Ophthalmology, Mennonite Christian Hospital, Hualien, Taiwan
Date of Submission | 10-May-2017 |
Date of Decision | 07-Jun-2017 |
Date of Acceptance | 12-Jun-2017 |
Date of Web Publication | 4-Dec-2017 |
Correspondence Address: Ming-Shinn Lee Department of Education and Human Potentials Development, National Dong Hwa University, 1, Section 2, Da Hsueh Road, Hualien Taiwan
 Source of Support: None, Conflict of Interest: None
DOI: 10.4103/tcmj.tcmj_34_17
Objective: The aim of this study is to prepare junior physicians, clinical education should focus on the teaching of clinical decision-making. This research is designed to explore teaching of clinical decision-making and to analyze the benefits of an “Analogy guide clinical decision-making” as a learning intervention for junior doctors. Materials and Methods: This study had a “quasi-experimental design” and was conducted in a medical center in eastern Taiwan. Participants and Program Description: Thirty junior doctors and three clinical teachers were involved in the study. The experimental group (15) received 1 h of instruction from the “Analogy guide for teaching clinical decision-making” every day for 3 months. Program Evaluation: A “Clinical decision-making self-evaluation form” was used as the assessment tool to evaluate participant learning efficiency before and after the teaching program. Semi-structured qualitative research interviews were also conducted. Results: We found using the analogy guide for teaching clinical decision-making could help enhance junior doctors' self-confidence. Important factors influencing clinical decision-making included workload, decision-making, and past experience. Conclusion: Clinical teaching using the analogy guide for clinical decision-making may be a helpful tool for training and can contribute to a more comprehensive understanding of decision-making. Keywords: Analogy guide teaching, Clinical decision-making, Medical education
How to cite this article: Hsieh MC, Lee MS, Chen TY, Tsai TC, Pai YF, Sheu MM. Analyzing the effectiveness of teaching and factors in clinical decision-making. Tzu Chi Med J 2017;29:223-7 |
How to cite this URL: Hsieh MC, Lee MS, Chen TY, Tsai TC, Pai YF, Sheu MM. Analyzing the effectiveness of teaching and factors in clinical decision-making. Tzu Chi Med J [serial online] 2017 [cited 2021 Jan 17];29:223-7. Available from: https://www.tcmjmed.com/text.asp?2017/29/4/223/219751 |
Introduction | |  |
One of the challenges in medical education is teaching junior doctors how to reason appropriately and how to understand and apply the scientific methods of clinical problem solving and decision-making to ensure that patients receive optimal treatment [1]. The steps in decision-making begin with collecting information on the patients' problems, followed by evaluation, analysis, planning, action, and review [2]. Clinical decision-making applies to the procedures of collecting relevant data, assessing subjective and objective information, listing all possible problem-solving methods, surmising possible results, and finally selecting, and executing feasible solutions. Subsequent evaluations of the advantages and disadvantages of potential solutions, as well as the formulation of remedy regimes, enable fabrication of comprehensive clinical decisions [3],[4],[5].
Studies of teaching methods in clinical decision-making have revealed that “analogy-guided learning,” this is a learning method similar to reflective learning, may facilitate clinical reasoning and diagnosis. This type of learning method includes chart reviews and journal reading sessions [6],[7]. Therefore, the extended benefits of analogy-guided learning for other clinical teaching activities merit further investigation. Since the inception of the classical model of judgment, curricula in various fields of science education have been designed to examine the decision-making process. In particular, the Tanner clinical judgment model and the dual-processing model are among the most frequently used classical models in medical education [8],[9]. In the Tanner model, the judgment process comprises four aspects: noticing, interpreting, reflecting, and responding; reflections “on-action” during the noticing process comprise a particularly crucial component of the model [10]. The dual-processing model involves a diagnosis process that is not limited to either the heuristic–intuitive or systematic–analytical decision-making system [11].
Most studies on clinical decision-making have employed case discussion to investigate the procedures and results of simulated scenarios or real cases. However, few studies have emphasized how to teach clinical decision-making [12],[13]. In recent years, scholars have proposed innovative teaching methods such as narrative medicine, reflection and written articulation, concept mapping, and the preceptor model. However, these methods have not been applied to clinical teaching due to difficulties in integrating decision-making elements such as reflection, the build-up concept, and experiential learning [14],[15].
Materials and Methods | |  |
This study mainly employed a pretest–posttest equivalent–group design based on the experimental research method, which was supplemented with semi-structured interviews. The study was conducted in a teaching hospital in eastern Taiwan. The effective sample size was 30 postgraduate year 1 (PGY-1) junior doctors, who were divided into an experimental group (n = 15) and control group (n = 15). Ten interviewees were recruited from the experimental group through purposive sampling. The experimental group received training that adopted teaching of analogy-guided clinical decision-making (1 h of instruction every day), and the control group received regular instruction. The teaching experiment lasted 3 months. The doctors from both groups completed a pre- and post-test. Three months after the teaching intervention, they completed a delayed test called the clinical decision-making self-evaluation form, which is a widely used tool. This scale describes the perceptions of nursing students in clinical decision-making based on self-expression [16]. Five experts in the field provided ideas for strategies and modifications of the tool. Data were also collected through semi-structured, audiotaped interviews with the participants. This study was approved by the Institutional Review Board and Hualien Tzu Chi Medical Foundation Research Ethics Committee (IRB103-79-B).
Program description
The analogy-guided clinical decision-making teaching method used in the experimental group began with establishing sets of standardized processes. To maintain consistent teaching quality, instructor meetings were held weekly to discuss the teaching materials and related problems. Advisers, experts, and scholars were invited to joint the development of teaching materials to improve the accuracy of teaching execution, and the instructors were asked to participate in training courses. The Teacher's Guide was edited according to Oermann [17],[18].
Program evaluation
SPSS version 16.0 for Windows (SPSS Inc., released 2007. SPSS for Windows, version 16.0. SPSS Inc., Chicago, IL, USA) was used to analyze the quantified data in this study. Analysis of variance (ANOVA) was conducted with pretest scores as the control variable. The clinical decision-making self-evaluation form was used to evaluate the participants' progress. The questionnaire items were classified into three categories: decision-making steps, the Tanner model, and the dual-processing model. The data were analyzed through a two-way repeated measures ANOVA to examine (1) the between-subjects effects of the teaching and (2) the within-subjects effects of time and time with teaching. The assumption of sphericity was evaluated with the level of statistical significance set at P (60); 0.05. When interaction effects were observed, the main effects were analyzed.
Ethical approval
All procedures performed in studies involving human participants were in accordance with the ethical standards of the institutional and/or national research committee and with the 1964 Helsinki Declaration and its later amendments or comparable ethical standards (IRB103-79-B).
Results | |  |
Comparing the teaching effects of the aspects of the decision-making stepsd revealed a significant difference in the aspect of “identify a problem” (F (29, (60) = 6.7, P (60); 0.005). Both time and teaching affected the test score, and an interaction effect was observed between the aspects of “develop options” and “act on the decision” (F (29, (60) = 8.1, P (60); 0.005; F (29, (60) =5.6, P = 0.006). [Table 1] presents the repeated measures ANOVA results for the decision-making steps. In the simple main effect of teaching, significant differences were observed between the experimental and control groups for the aspect of “develop options” in the pretest (experimental group < control group, F = 5.2, P (60); 0.05) and the aspect of “act on the decision” in the delayed test (experimental group > control group, F = 5.5, P (60); 0.05). | Table 1: Repeated measures analysis of variance results for the decision-making steps
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In the Tanner model, which was adopted to explore the benefits of teaching, the aspects of noticing and action had statistically significant results for the main effect of teaching (F (29, (60) = 5.5, P (60); 0.005 and F (29, (60) = 6.8, P (60); 0.005). Both time and teaching affected the test scores, and an interaction effect was observed between the aspects of noticing and action (F (29, (60) = 6.0, P = 0.005 and F (29, (60) = 6.2, P (60); 0.005, respectively). [Table 2] shows the repeated measures ANOVA results for the Tanner model. According to the analysis of the simple main effect of teaching, the aspects of noticing and action did not differ statistically between groups in the pretests, but the aspect of noticing differed significantly between groups in the delayed tests (experimental group > control group, F = 14.2, P (60); 0.05). In addition, the aspect of action differed statistically between groups in both the posttests and delayed tests (experimental group > control group, F = 6.6, P (60); 0.05 and F = 11.2, P (60); 0.05, respectively). | Table 2: Repeated measures analysis of variance results for the Tanner model
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Comparisons of the teaching effects in the dual-processing model revealed that the main effects of teaching did not differ significantly between the groups (F (29, (60) =3.1, P = 0.09; F (29, (60) =0.3, P = 0.57). Both time and teaching affected the scores of the participants, and the aspect of heuristics demonstrated an interaction effect (F (29, (60)(29, (60) =38.7, P (60); 0.001), as shown in [Table 3]. In the heuristics aspect, the analysis of the simple main effect of teaching indicated that the experimental group exhibited significantly higher delayed test scores than did the control group (F = 9.3, P = 0.004). In addition, the simple main effect of time indicated that both the posttest and delayed test scores of the experimental group were significantly higher than those of the control group (F = 19.8, P (60); 0.001). | Table 3: Repeated measures analysis of variance results for the dual model
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During the interviews, we observed that the following factors affected the students' ability to learn to make clinical decisions: personal factors (professional capacity, workload, and personal values) and external environmental factors (teaching environment, external support, and social factors). In addition, the instructors who employed inquiry-based teaching techniques of clinical decision-making and demonstrated role modeling characteristics had a substantial influence on the junior doctors' learning efficiency in clinical decision-making. The junior doctors, in general, believed that self-improvement is essential for making appropriate clinical decisions.
Discussion | |  |
Through qualitative and quantitative analyses, this study revealed that the analogy-guided clinical decision-making teaching method enhanced junior doctors' confidence. The most crucial factors in clinical decision-making are workload, time limits, and learning experience. Instructors who received skills training in clinical teaching are more likely to strengthen the learning interests of junior doctors. The analysis findings are discussed as follows:
Perspectives from decision-making steps
In decision-making processes, significant differences between the aspects of “identify a problem” and “act on the decision” were observed between the experimental and control groups. Consequently, analogy-guided clinical decision-making teaching may enhance junior doctors' capability to act on a decision. These results are similar to those of previous research which emphasized identifying patients' problems as the first step in decision-making [19]. The interviews conducted in the present study revealed that PGY-1 junior doctors not only gradually understood their patients' discomforts but also actively listened to their patients describing their feelings and displayed empathy toward their patients throughout the learning process. In a literature review by Bradley, doctors' experiences and environments were found to affect their decision-making processes [20]. This study also revealed that, according to the delayed tests, the experimental group continued to improve because the clinical instructors constantly encouraged them to explore and track their patients' problems.
Perspectives from the Tanner model
The Tanner judgmental model, which has been widely used since its inception in 2000, posits that the background, objective reality, and social background of decision makers affect the decision-making process [21]. This study reveals that the experimental group improved in the aspects of noticing and action. Lasater evaluated the Lasater Clinical Judgment Rubric in medical simulation education through the four steps of assessing students' decision-making processes in the Tanner model, and, similar to the present study, demonstrated that students can be guided through self-evaluation and reflection [22]. A concept-based clinical decision-making teaching method derived from the Tanner model in 2009 also revealed findings similar to the present study regarding the strengthening of deep thinking and clinical decision-making skills [23]. The analogy-guided clinical decision-making teaching model used in the present study further enhanced the students' ability to collect evidence, thereby improving the aspects of noticing and action.
Perspectives from the dual-processing model
The dual-processing model, which emphasizes the ongoing interrelationship between heuristic and analytical processes, has become a prevalent medical decision-making theory in recent years [24],[25]. Norman proposed that medical malpractice may affect the dual-processing model [26]. In the present study, the experimental group demonstrated significantly greater improvement in the aspect of heuristics than the control group did after the intervention. Despite the absence of an evident interrelationship between the two systems, we observed that the junior doctors analyzed the situation first and then made decisions heuristically, whereas the senior doctors first evaluated the situation heuristically and then made decisions analytically. Based on the reasoning demonstrated by the students during the interviews, we believe that in addition to the teaching intervention potentially affecting clinical decision-making processes, doctors' growth in experience is also a crucial factor in the dual-processing model.
Acknowledgments
The authors would like to thank Tzu Chi General Hospital, Department of Medical Education, for their assistance with data collection and manuscript preparation.
Financial Support and Sponsorship
Nil.
Conflicts of interest
There are no conflicts of interest.
References | |  |
1. | Papp KK, Huang GC, Lauzon Clabo LM, Delva D, Fischer M, Konopasek L, et al. Milestones of critical thinking: A developmental model for medicine and nursing. Acad Med 2014;89:715-20. |
2. | Silva OC. Measuring blood pressure for decision making and quality reporting. Ann Intern Med 2011;155:565-6. |
3. | Hall KH. Reviewing intuitive decision-making and uncertainty: The implications for medical education. Med Educ 2002;36:216-24. |
4. | Charnes A, Cooper WW, Rhodes E. Measuring the efficiency of decision making units. EJOR 1978;2:429-44. |
5. | Janis IL, Mann L. Decision Making: A Psychological Analysis of Conflict, Choice, and Commitment. New York: Free Press; 1977. p. 69-80. |
6. | Edelen BG, Bell AA. The role of analogy-guided learning experiences in enhancing students' clinical decision-making skills. J Nurs Educ 2011;50:453-60. |
7. | Baker EA, Ledford CH, Fogg L, Way DP, Park YS. The IDEA assessment tool: Assessing the reporting, diagnostic reasoning, and decision-making skills demonstrated in medical students' hospital admission notes. Teach Learn Med 2015;27:163-73. |
8. | Werner M. A model for medical decision making and problem solving. Clin Chem 1995;41:1215-22. |
9. | Anselme P. Some conceptual problems with the classical theory of behaviour. Behav Processes 2007;75:259-75. |
10. | Cappelletti A, Engel JK, Prentice D. Systematic review of clinical judgment and reasoning in nursing. J Nurs Educ 2014;53:453-8. |
11. | Resnik DB. The precautionary principle and medical decision making. J Med Philos 2004;29:281-99. |
12. | Redelmeier DA, Tu JV, Schull MJ, Ferris LE, Hux JE. Problems for clinical judgement: 2. obtaining a reliable past medical history. CMAJ 2001;164:809-13. |
13. | Bleakley A, Farrow R, Gould D, Marshall R. Making sense of clinical reasoning: Judgement and the evidence of the senses. Med Educ 2003;37:544-52. |
14. | Schultz DS, Flasher LV. CharlesTaylor, phronesis, and medicine: Ethics and interpretation in illness narrative. J Med Philos 2011;36:394-409. |
15. | Ilgen JS, Bowen JL, Eva KW. Reflecting upon reflection in diagnostic reasoning. Acad Med 2014;89:1195-6. |
16. | Hoffman K, Donoghue J, Duffield C. Decision-making in clinical nursing: Investigating contributing factors. J Adv Nurs 2004;45:53-62. |
17. | Paul RW, Binker A. Critical Thinking: What Every Person Needs to Survive in a Rapidly Changing World: CA: Sonoma University Press: ERIC; 1990. p. 43-53. |
18. | Oermann MH. Evaluating critical thinking in clinical practice. Nurse Educ 1997;22:25-8. |
19. | Soumerai SB, Avorn J. Principles of educational outreach ('academic detailing') to improve clinical decision making. JAMA 1990;263:549-56. |
20. | Bradley CP. Decision making and prescribing patterns – A literature review. Fam Pract 1991;8:276-87. |
21. | Tanner CA. Thinking like a nurse: A research-based model of clinical judgment in nursing. J Nurs Educ 2006;45:204-11. |
22. | Lasater K. Clinical judgment development: Using simulation to create an assessment rubric. J Nurs Educ 2007;46:496-503. |
23. | Lasater K, Nielsen A. The influence of concept-based learning activities on students' clinical judgment development. J Nurs Educ 2009;48:441-6. |
24. | Djulbegovic B, Hozo I, Beckstead J, Tsalatsanis A, Pauker SG. Dual processing model of medical decision-making. BMC Med Inform Decis Mak 2012;12:94. |
25. | Evans JS. Dual-processing accounts of reasoning, judgment, and social cognition. Annu Rev Psychol 2008;59:255-78. |
26. | Norman G. Dual processing and diagnostic errors. Adv Health Sci Educ Theory Pract 2009;14(Suppl 1):37S-49S. |
[Table 1], [Table 2], [Table 3]
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