Introduction
A mechanistic case diagram (MCD) is a graphic representation of the mechanisms of a disease or problems contained within a medical case. MCD can be considered as a special type of concept map in that the former uses rather similar link words between concepts: i.e., linking words used in a MCD are only of similar types such as “causes,” “leads to,” “results in,” and so forth: therefor they are supposed to be hidden from the usual guidelines. Thus the work of making an MCD has been explained as repetitive and consecutive questioning that explores the mechanisms associated with clinical features of disease and laboratory abnormalities and draws connections between the identified concepts, resulting in an integrated map of multiple areas of knowledges. In other words, the work purports to give students fundamental and systematic knowledge for understanding medical problems, beyond rather simple memorization of clinical knowledge, and can thus be described as a method of deep learning [1-3].
MCD work seems to be geared towards modern trends in medical education which emphasize a curriculum that reflects the ever increasing biomedical knowledge that has occurred since the latter half of 20th century [4,5]. However, it has been reported that there exists a scant amount of knowledge that will grant a deep mechanistic understanding for the creation of a well-organized and integrated diagram of the problems in major texts and web-based materials [6]. So, given this situation, our study aims to be a pioneering work that will produce in-depth study materials through the process of making MCDs in the setting of problem-based learning (PBL). Though PBL in medical education intends to develop the skill set necessary to diagnose undifferentiated medical problems at the same time as gaining an understanding of in-depth biomedical knowledge, students can revert to traditional modes of learning if they are not provided with appropriate learning tools [1-3]. The properties of an MCD that facilitate step-by-step mechanistic searches from the etiologic factors to the ultimate clinical features of a disease could invaluably augment in-depth learning.
As far as we know, there have been few studies that explored the ways to utilize MCDs appropriately, at least in the field of medical education. A few studies have reported the use of MCDs during PBL [1,2], but they did not study specific ways of efficiently making MCDs. Regarding the depth of details for making an MCD during PBL, previous authors merely suggested that students make MCDs in as much of a detailed manner as possible [1,2]. On the contrary, Dee et al. [7] suggested a specific set of guidelines including a statement that MCDs for a medical case should be created using at most 25 concepts. However, their guidelines were made according to the rather tight schedule dealing with 44 MCDs over two semesters by each student. In them, the teachers gave preselected lists of concepts below 25 and the individual student made each MCD around the mean time of 15 minutes. So, both in styles of Gurerrero [1], Azer [2], and Dee et al. [7], there have been no controlled studies testing the appropriateness of their methods.
This study reports on the experience of making MCDs during PBL in D Medical School when students followed the guidance to explore disease mechanisms in the fullest depth according the guidelines of articles of Guerrero [1] and Azer [2]. This is qualitative analysis based on the questionnaires and map products. Following this, we intend to find the pros and cons of making MCDs under such a guideline, then establishing more useful guidelines to help students make MCDs during PBL.
Methods
1. Participants
This study involved 45 second-year medical school students at Dankook University, Cheonan, Korea. The mean age of the students was 22 years (standard deviation=1), and they consisted of 34 males (76%) and 11 females (24%). The students were divided into six groups, and each group was composed of seven or eight members.
2. Context and procedure
The PBL course was held for 1 month at the end of second year of medical school. Students studied one case module for a week. There were no regular lectures except the intermittent special lectures related to the case. Briefly, the four cases were as follows: acute chest pain in a middle aged patient (this case was regarded as an exercise for MCD work), seizure in a 26-year-old pregnant patient, low back pain in a 50-year-old female with previous history of breast cancer, fever, and abdominal pain in a 3-year-old child diagnosed as Kawasaki disease.
Each group was supposed to do both of the two types of assignments (PowerPoint [PPT] and MCD) as the final products for one case in a week. Both of the assignments were group work. The PPT assignment was to express students’ understanding of differential diagnoses and the management of disease after a diagnosis was reached, and the MCD assignment was meant to illustrate students’ understanding of mechanistic explanations of the PBL case. So, MCD was introduced as an aid to in-depth learning focused on the mechanisms of diseases [3].
At the beginning of this study, an instructor gave students an introduction to MCDs. The format of that introductory orientation was based on article of Azer [2], and it covered what an MCD is and how to draw an MCD. In line with the article, we gave students guidelines to perform mechanistic exploration from clinical features to subcellular processes in as much detail as possible when making their MCDs. In other words, investigations into mechanistic processes leading to the various symptoms of each disease (so called pathophysiological mechanisms) and also the mechanistic processes from the etiologic factors to the establishment of diseases (so called pathogenetic mechanisms) were requested in the guidelines [7]. Notably, as part of pathogenetic processes, students were asked to include epidemiological, psychological, and social risk factors in their MCDs and make mechanistic links as much as possible [1,2].
Regarding the actual drawing process, students were given these simple guidelines: (1) Each node corresponding to one concept should only send arrows pointing to the results of the cause or receive arrows from the more causative (higher level in the hierarchical ladder) concepts [1,2]. (2) Important treatments should be expressed at related places in the MCDs using overlaid arrows that are outside of the main stream [1,2]. (3) Each MCD product should be unique and there should be no mindless copying of resource materials. (4) The MCD should be different from mind map that features simple categorization and is composed of etiology, pathogenesis, clinical features, treatments, and so forth, without a detailed investigation of mechanistic processes intertwined over the whole case (https://meducation.net/resources/31264-Antibiotics-Mindmap). As the first MCD assignment was considered a practice, the researcher did not include data on the first MCD assignment in the analysis for this study and eventually 18 MCDs over 3 weeks were evaluated for this study.
They were encouraged to do group work for MCD after doing an in-depth study on their own learning issues related to MCD. For initial group work, they usually worked using white board and then transcribed the map into open graphical tool, CmapTools (IHMC, Pensacola, USA; http://cmap.ihmc.us/cmaptools/cmaptools-download/) for the MCD assignments. At the end of each PBL session, students gave presentations on their group MCDs. Two MCD committee members evaluated the final MCD products in a subjective manner. They were especially focused on students’ comprehension and the completeness of the final MCD, its presentation, the quality of references, integrity of group work, and so on.
3. Data collection and analysis
To investigate the students’ perspectives on the experience of using MCDs according to our study guidelines, we constructed survey items to assess students’ general perceptions of the experience of using an MCD in such ways during PBL. Three open-ended questions were used to get perspectives concerning the experience of using MCDs and following the instructions of this study: (1) What was the hardest aspect of making your group MCDs and how did you overcome it by yourselves? (2) What are the good and bad points of the experience of using MCDs? (3) What are some good strategies that would stimulate each group to make a unique MCD?
The authors gave the questionnaire after the end of fourth week and asked their help to improve this task in the future. They voluntarily participated in the study following the verbal explanation. After collecting the questionnaires, two investigators analyzed the answers independently and categorized the emerging themes. If there were disagreements, they discussed and tried to find solutions. In the case of unclear meaning of the answers, we contacted the students through e-mail or telephone for verification.
Also the authors observed the MCD products and tried to find the additional pros and cons points of MCD work given our study guidelines. Further during this examination, we tried to get ideas for improving the task.
Results
1. Responses to the questionnaire
Thirty-seven students answered the questionnaire (37/45=0.82). Upon observation of the responses to the questionnaire, we could categorize the themes as shown in the Table 1. Students could gain deep understanding of study subject and the benefit of cooperative group work (theme III), but they also felt the need of more guidance and resource materials to relieve their high workload (theme I). The authors could derive some ideas to overcome these difficulties regarding the MCD task from students (themes II and IV).
2. MCD products
By observing the MCD products, we found several characteristic patterns. First, regarding general appearance of the MCDs, there emerged a pattern which was quite different than previously introduced as the standard form. The original pattern showed all concepts, from the etiologic factors to the establishment of a disease (pathogenetic processes), then the clinical features and laboratory results (pathophysiological processes) in one picture (Fig. 1). The new pattern which gave significant attention to the visual acceptability of map, edited the comprehensive and complicated pattern into a packaged form composed of key sections such as pathogenetic mechanisms, risk factors, and clinical features: each section gave cautions to contain detailed information linked with mechanistic processes, thereby differentiating the MCDs from simple categorization (Fig. 2A, packed form; 2B, partially unfolded form). This pattern emerged out from the purpose to get rid of too much visual information in the initial map and show gradual mechanistic concepts in a flexible manner. So, the originally introduced pattern was shown in 11 out of 18 and new pattern in seven out of 18.
Second, we frequently observed new map components in addition to the required basic components of MCD; they appeared as boxed summaries under the small topics like diagnostic criteria or all treatments arranged as algorithmic form (Fig. 3). Students wanted to have an opportunity to express important points in the form of boxes, though they seem to be redundant.
Third, some groups showed a failure in detailing parts of the MCD, which was presumably caused by insincere attitudes held by some group members (Fig. 4A in comparison with Fig. 4B). Also the problem of too much workload expressed by many students could explain this in part.
Fourth, there were general deficiencies in illustrating the mechanistic processes related to risk factors except the relatively well known area related to molecular pathogenesis.
Discussion
The authors interpreted the guidelines in key references [1,2] as in this way: be detailed as much as possible and connect all the minute details from risk factors to clinical features. Those guidelines also encouraged multiple converging or diverging relationships between concepts.
Upon the observations of our study, the expected benefits were frequently reported: Students found upon their own extensive searches that symptoms could be manifested through the processes of diverse body systems and also interconnected with many other concepts. This kind of mechanistic understanding facilitated deep learning which was never experienced under the traditional method of study based on didactic lecture or even the study for PPT assignment work during PBL. Furthermore a large amount of work pushed the students to do organized group work such as appropriate division of learning issues and integration at a later time.
However, they simultaneously felt a lot of difficulties or shortcomings of the MCD task following our given guidelines. Many students complained about the need of too much work and the difficulty to discriminate out the essential knowledge. Also they wanted more guidance and resources especially in the cases with many difficult-to-find or probably unknown mechanisms. Among MCD products evaluated as having poor quality, some showed parts of the diagram in an incompletely drawn state sharing features of mind map (Fig. 4A, “clinical features” part). This seems to reflect the difficulties of students regarding their workload, shortage of time and the need of deliberate guidance of the committee. Regarding the work related to risk factors within the MCDs, many groups ended up by listing all the factors in the same concept box and then linked it roughly to the concept box of disease name even though we requested to make mechanistic linkages for each risk factor (for example, Fig. 4A, “risk factors” part). This reflects the scarcity of those mechanisms in many textbooks. Also, it indicates the area related to the mechanisms of risk factors are relatively more unclear and still in stage for searching or formulating more mechanisms [8-11].
We could not expect those main difficulties related to too much workload at the time of study. But after seeing the responses to the questionnaires and some poorly qualified MCD products, now we have new plans to be applied for later applications of MCDs. (1) People composed of case expert and members of the operating committee for MCDs should meet earlier time enough, discuss the purpose of MCDs and make MCDs in advance. Further at that time, we should discuss about the required depth of the mechanisms, the area of more focus and ways of expression in the areas of more uncertainty regarding mechanisms, among others. (2) During the above meeting, we should recognize many unknown or uncertain mechanistic details with regards to the object case. Then we should somehow discriminate the linkages of hypothetical nature in many points and also accept the fact that it can be premature for any mechanistic formulation to cover up minute details [8-11]. (3) Considering students’ unfamiliarity about MCD works, we should prepare good examples of MCD. Also in order to decrease the burden, it will be helpful to prepare a paper describing various tips for doing through the work in general and for each specific case (for example, “List up the keywords including from the important symptoms to the underlying concepts of basic sciences like inflammation, immune response, neoplastic change, etc.,” “Plan a balanced mechanism conveying the big picture and fine details,” “Consider the factors like the exposure to infectious agents or environmental factors and their possible mechanisms in this case.”). (4) Remind the importance of efficient group work and prepare the measures to defeat the discouraging attitudes of some group members (for example, “Give checking up questions to random group members,” “Introduce the names of insincere members through the individual route.”). (5) Considering relatively deficient amount in resources for risk factors with their mechanistic explanations, we should prepare in advance and introduce them to students.
We found additional benefits and lessons for later use through the analysis of MCD products. For example, we could see modified form which was developed from the intention that tries to improve the complex nature of MCDs (Fig. 2). This type of map was influential to the other groups resulting in six more products of its similar kinds. Williams et al. [12] also gave considerations to the problem of complexity and suggested a map which allows each student to navigate the content and level of detail. They called it “adaptive concept map.” Similarly, we think it is a good advice to suggest that students have an idea to edit or revise their maps for increasing visual acceptability.
In some MCDs, additional components upon the required basic components—that is to say all the pathogenetic and pathophysiologic concepts-appeared. They were boxed summaries showing diagnostic criteria or treatments, sometimes differentiating into diagnostic subsets (for example, incomplete or complete Kawasaki disease) or situationally specific treatments (for example, treatments for incomplete or complete Kawasaki disease). Further, treatments could be shown as an algorithmic form facilitating the understanding of specific situations regarding treatments (Fig. 3). These summarizing box contents seem to be redundant over the basic contents of MCDs, but we think they can be useful learning activity by reutilizing or reanalyzing the concepts already expressed in the basic MCD and helping to grasp more practical forms of knowledge in clinical field.
Furthermore, from the literature survey, we could see other potential values of MCDs for several issues related to medical education. First, many authors stress the importance of understanding the complex natures of scientific problems including medical field, suggesting the ever existing need of comprehensive studies of disease mechanisms and the need of study tool like MCD [13-15]. Second, MCD can also be a useful educational tool which can goes with one recent trend stressing holistic systems biology applied to human disease. This approach is emerging as the alternative to overcome the shortcomings of traditional medicine giving limited explanation of diseases and their treatments [16,17]. Third, MCD can also be a useful educational tool in these days stressing the importance of integration between basic science and clinical knowledges [5,18,19]. Regarding this point, specifically if we know how to control the depth of content details required for the educational purposes, it could be a more valuable tool to be used flexibly according to the curricular purposes. Fourth, considering the constant development of new biomarkers for early diagnosis, prognostic evaluation or new treatment, MCD can be a useful guide of study to the expanding field of knowledge.
Among the limitations of this study, it should be noted that the main use of brief questionnaire could only elicit rather superficial responses from students. Thus the facts that we did not directly observe the process of creating a MCD or the actual group work limits our understanding of the pros and cons of this MCD work. If we add planned interviews or direct observations of students’ work at a later time, it will help us get more understanding regarding this MCD task.
In conclusion, the more detailed an MCD task is, the more students will grasp in-depth knowledge of a disease. However, this policy inevitably involves giving students a high workload, suggesting that many deliberate learning aids or tips are prepared in advance.