Introduction
Clinical reasoning is a fundamental part of doctors’ competencies, and an explicit curriculum for clinical reasoning should be incorporated at every level of medical school [1]. However, medical students do not usually receive this training until their clinical rotations. During their clinical rotations, medical students mostly learn clinical reasoning informally through experiential opportunities with irregular feedback [1-3]; however, the effectiveness of such traditional teaching methods is unclear [4].
Clinical reasoning training in the pre-clinical phase has recently been considered important. Instead of informal experiential learning with varying quality of supervision during clinical clerkships [5], the need for more structured explicit attempts to teach clinical reasoning before clinical rotations is rising. Medical schools want to address this issue by designing a clinical reasoning program for pre-clinical students [6,7], but it poses challenges as the best way to develop clinical reasoning is uncertain.
Charlin et al. [6] argued that illness script formation should be a focus in medical education in terms of clinical reasoning development. Schmidt and Mamede [3] suggested through a narrative review that the thinking process-oriented approach such as generic problem-solving skills, rather than the knowledge-oriented approach, is largely ineffective in teaching clinical reasoning. Clinical reasoning do not exist separately from the specific medical knowledge necessary to understand and diagnose a particular disease. Medical knowledge and how it is stored are essential for accurate diagnosis [2,8-10], and this combination is explained using the illness script theory [6,11].
Illness scripts are developed as a consequence of theoretical knowledge acquisition and accumulated clinical experience [6,12]. Clinicians represent diseases as illness scripts in their minds [6,12,13]. Highly experienced clinicians possess elaborate illness scripts as mental models that enable them to instantly compare, contrast, categorize, interpret, and store new information [14]. Illness scripts have three main components: enabling conditions (e.g., age, sex, occupation), faults (major real malfunctions), and consequences (complaints, signs, and symptoms) [15].
Medical students can build a limited repository of illness scripts during pre-clinical education [10]. During early medical training, students can develop mental structures that explain the causes and consequences of a disease, and through repeated application of this knowledge to patient problems, their mental structure is encapsulated into high-level simplified causal models that explain signs and symptoms. With repeated exposure to patient cases, their encapsulated knowledge is restructured as illness scripts [12,16]. As the illness script is updated and refined through experience and learning, the initial illness script becomes the key and framework for further development [6,17].
The implication of the illness script theory is that basic science should be taught pertinent to the development of encapsulating concepts, and biomedical and clinical knowledge should be taught by integrating teaching methods [16]. However, when it comes to specific instructional methods for pre-clinical students, much is unknown. Research regarding clinical reasoning development by focusing on illness script formation has recently been rising, but they have mostly targeted medical students during their clinical clerkships or above [6,7,18]. In addition, several systematic reviews have published methods to improve the clinical reasoning of undergraduate medical students [3,5,19], but none has been published regarding clinical reasoning development targeting pre-clinical medical students based on illness script formation. Thus, it is necessary and timely to conduct an in-depth analysis of such strategies to develop curriculum to foster preclinical medical students’ clinical reasoning based on illness script formation.
This study aimed to fill the knowledge gap by offering a comprehensive answer to the following questions by systematically reviewing the latest pertinent studies. What methods were used to develop clinical reasoning for pre-clinical medical students based on illness script formation? What are the results in terms of developing clinical reasoning? What teaching and learning strategies are effective in terms of the clinical reasoning development of pre-clinical medical students based on illness script formation? This review could provide directions for effective educational applications and research on this emerging issue.
Methods
1. Literature search
This systematic review was conducted in accordance with the guidelines of the Association for Medical Education in Europe [20]. The initial literature search included peer-reviewed journal articles using the Cochrane Library, PubMed, EMBASE, Web of Science, and ERIC databases. The search strategies were based on keywords such as “illness script*” AND (“medical student*” OR pre-clinical OR undergraduate). Search strategies were performed on September 2021. The references of the included papers were also examined to identify additional relevant studies. The search strategy generated 91 studies, including 47 studies from PubMed, 25 studies from Web of Science, 11 studies from ERIC, five studies from Cochrane Library, and three additional articles identified through the reference check. After excluding 81 studies (19 duplicate searches and 62 studies that met the exclusion criteria), 10 studies were included in the final analysis. Fig. 1 shows the complete search and study selection strategies.
2. Exclusion and inclusion criteria
The inclusion criteria were as follows: (1) peer-reviewed; (2) full-text; (3) original research journal articles; (4) published in English; (5) focusing on developing clinical reasoning based on illness script formation; and (6) focusing on pre-clinical medical students. The exclusion criteria were as follows: (1) not peer-reviewed journal articles; (2) not published in English; (3) not full-text papers, such as conference papers; (4) not original research papers such as reviews and commentaries; (5) with illness script approaches used for assessment, such as script concordance tests, as this review focused on learning and teaching strategies; (6) studies in which participants were not medical students, such as nursing or veterinary students; and (7) studies with participants in their clinical clerkship or above. However, if the study included medical students during their clinical clerkship with pre-clinical students to compare among the groups and provided implications on the learning and teaching strategies for pre-clinical students, then the research was included for further analyses.
3. Literature analysis
Two researchers (the author and a research assistant) performed the search independently, and studies were selected after reviewing them against the inclusion and exclusion criteria. The screening process was first conducted according to the title and abstract, and full-text articles were reviewed for eligibility. All discrepancies were resolved through discussion until a consensus was reached. Once eligible articles were identified, full-text articles were reviewed again, and the following data were extracted: (1) study characteristics (e.g., author, publication year, country where the research was conducted, study design, course, or contents,); (2) participants; (3) methods; (4) measured variables; (5) results; and (6) learning and teaching strategies.
The quality of the selected studies was also appraised independently by the two researchers using the Medical Education Research Study Quality Instrument (MERSQI), which was designed to measure the quality of experimental, quasi-experimental, and observational studies [21]. MERSQI consists of 10 items covering six domains (study design, sampling, type of data, validity of the evaluation instrument, data analysis, and outcomes). The maximum score for each domain was 3. Any discrepancies were resolved through discussion.
Results
1. Study characteristics
The characteristics of each study are listed in Table 1. The 10 studies were published between 2012 and 2021. The number of publications has been increasing over the last 5 years: nine were published between 2016 and 2021, and one was published in 2012. Five studies were conducted in the United States, two in the Netherlands, one in Brazil, one in Iran, and one in New Zealand. The contents varied from late-onset asthma to emergency medicine. Seven studies employed a quasi-experimental design and included four within-subject posttest-only designs, two between-subject posttest-only designs, and one between-subject pre-posttest design. Meanwhile, two studies employed an experimental design (between-subject pre-posttest design), and one was an observational study (three groups).
2. Participants
The participants in six studies were from year 1 or 2 (Table 1). In three studies, they were from year 4 in the Netherlands, Brazil, and Iran. Medical schools in the Netherlands, New Zealand, and Brazil have a 6-year undergraduate curriculum, while Iran has a 7-year undergraduate curriculum. As medical school systems differ according to country and context, if the authors stated that the participants were in the pre-clinical part of the curriculum, these studies were regarded as targeting pre-clinical students. The last one studied three participant groups from years 2, 3, and 6 in New Zealand [7]. Although they included students from year 6 in their clinical clerkship, because its focus was on comparing how students at different stages of training were taking a history and it provided implications for pre-clinical students’ clinical reasoning development, this research was regarded as eligible for final analyses.
3. Methods
Diverse methods have been used to promote preclinical students’ clinical reasoning through illness script formation. These methods include illness script method, simulated clinical activity, integrated session, history taking, case-based clinical reasoning, metacognitive approach, clinical reasoning elective program, self-explanation, case-based illness script worksheet approach, and learning from multiple cases with the same underlying pathophysiological process (Table 1). In all the studies included, teaching and learning methods were designed to support the integration of biomedical and clinical knowledge working with patient cases.
4. Measured variables and results
The effect of the interventions on pre-clinical students’ clinical reasoning development was assessed through students’ course feedback, script concordance test, course or national exams, history taking method, illness script richness and maturity, diagnostic performance, written illness script analysis, clinical assessment with standardized patients (SPs), and knowledge development (Table 1). Six studies found that their intervention was effective in developing pre-clinical students’ diagnostic reasoning [4,10,22-25]. Two studies investigated only students’ responses and reported very positive responses [1,26]. The remaining two studies reported that the whole-case approach for presenting patient data is effective for very novice students [7] and that learning from multiple cases with limited feedback from clinicians is insufficient for fostering illness script formation [27].
5. Leaning and teaching strategies
The learning and teaching strategies that have been demonstrated to be effective in improving the clinical reasoning of pre-clinical students are summarized in Table 2. The strategies were divided into three categories: learning and teaching settings, contents, and methods. Learning and teaching settings include a small group format, facilitators, and sufficient time for extensive discussion. As learning and teaching contents, all studies used patient cases that cover all stages of clinical encounters. Patient cases relevant to what the students are studying in other classes, increasing authenticity, multiple cases, and different approaches to presenting patient data according to the levels of training are also useful strategies in terms of contents. Regarding the methods, effective strategies include focusing on the integration of biomedical and clinical knowledge, emphasizing the application of basic science knowledge, providing a structured framework, direct illness script teaching, self-explanation, detailed and timely feedback, and stepwise exposure to clinical practices.
6. Study quality
The MERSQI scores of the 10 studies included in this review ranged from 6.5 to 13.5 (Table 1). The maximum total score of MERSQI was 18, and the maximum domain score was 3. The mean MERSQI (±standard deviation [SD]) score was 10.60±2.66. The mean domain score was highest for data analysis (2.8±0.42) and lowest for outcomes (1.35±0.24). In the study by Reed et al. [21], who developed MERSQI and applied it to 210 medical education research published in peer-reviewed journals, the mean MERSQI (±SD) score was 9.95±2.34.
Discussion
Illness script construction and refinement of preclinical medical students come from the application of biomedical and clinical knowledge to clinical cases [6]. This raised educational issues concerning instructional methods. This review investigated the methods used to develop the pre-clinical students’ clinical reasoning based on illness script formation, their results, and the useful strategies. Ten studies were included in this review. Almost all of these studies used integrated teaching methods focusing on the incorporation of biomedical and clinical knowledge with clinical cases and found that these interventions were effective in developing preclinical students’ clinical reasoning based on illness script development. This indicate that before medical students enter their clinical rotations, they can benefit from clinical reasoning training based on illness script formation. In addition, Boshuizen et al. [27] found that illness script development does not automatically occur when students enter their clinical training. This study further supports why clinical reasoning training of preclinical students based on illness script formation is necessary. The methodological quality of the reviewed studies was above the mean value of the study by Reed et al. [21], and the lower quality of studies was due to the small number of participants and type of data (only self-assessed data).
The 10 studies reviewed employed diverse and effective teaching and learning methods and provided useful teaching and learning strategies for pre-clinical students to cultivate their clinical reasoning based on illness script formation. The strategies include three categories: learning and teaching settings, contents, and methods. First, regarding learning and teaching settings, five studies used small group settings to encourage the discussion among the group of students with their facilitators [1,4,10,23,26]. The focus of the programs for developing students’ illness scripts should be on tuning and restructuring previously acquired knowledge instead of acquiring new knowledge for use in clinical contexts [10,26,28]. Then, the small discussion format is essential for students to apply their thoughts to clinical cases more freely and facilitators guiding the students’ discussions and providing immediate and detailed feedback are also critical for their knowledge structure to become more elaborate. Moreover, sufficient time for extensive discussion of all relevant aspects of clinical cases is also recommended to promote illness script formation [10]. Group size also matters; Jackson et al. [26] suggested 4–5 students per group to prevent distraction and improve learning experience.
Regarding the learning and teaching contents, all studies used clinical cases as contents. Clinical cases that cover all stages of clinical encounters, including history, physical examination, differential diagnosis, diagnostic testing, and management, are useful for all the relevant aspects of developing illness scripts to be discussed [10]. Keemink et al. [10] also emphasized providing more than one case at a time for repeated application of knowledge. As repeated application of knowledge accelerates the tuning processes of the knowledge structure toward future use in practical situations, providing more than one case at a time can promote illness script development. Increasing the authenticity by presenting clinical cases through real or simulated patients offers learners engaging opportunities to practice the integration of biomedical and clinical knowledge [4,7,22,25,26]. Jackson et al. [26] developed a simulated virology clinic consisting of a series of eight SP encounters for first-year students and showed that the students particularly appreciated how SPs brought the diseases to life in a memorable way that their classroom lectures and other learning materials could not provide. The application of basic science to human experiences in clinical contexts can create a stronger conceptual knowledge framework for students to integrate, store, retain, and retrieve knowledge [22]. Furthermore, a clinical case related to what the students were currently studying in the pre-clinical curriculum is useful, with an emphasis on independent learning [26].
On presenting patient data, the whole case format instead of a serial cue format for pre-clinical students is suggested based on the cognitive load theory [29]. Pinnock et al. [7] studied when the best time might be to introduce whole-case or serial-cue teaching approaches with students at different stages of training for history taking. In the former, the whole case is given to students, whereas in the latter, students are gradually given patient data, such as patient encounters at the doctor’s office [3]. The results showed that in the early stages of their training, the students could not handle questioning and managing data simultaneously due to cognitive overload. The authors suggested transitioning from the whole case, a blended, to the serial-cue approach as clinical knowledge increases [7].
Regarding learning and teaching methods, almost all studies reviewed employed integrated teaching methods when working with clinical cases. In addition, because illness scripts develop from the application of biomedical and clinical knowledge to clinical cases, rather than the accretion of new knowledge, the emphasis should be on the application of previously acquired knowledge [10,16,26].
Integrated teaching should be structured to formalize the clinical reasoning processes. The systematic exposure of students to all essential components for the development of their illness scripts, rather than just focusing on correct patient diagnosis, is required [16]. For example, Blunk et al. [4] employed three integrated sessions, while Hennrikus et al. [22] employed the metacognitive approach. In the three integration sessions, the students were given a clinical presentation followed by the associated basic science information and then, three clinical cases to formulate diagnoses, causes, and therapeutics. The students also interviewed two SPs in complex cases. In the study by Hennrikus et al. [22], the students were taught basic science, and then, a patient with the disease spoke to the class. After that, students wrote illness scripts. The results indicated that both methods helped novice learners elaborate causal models, ultimately cultivating illness script formation and clinical reasoning.
A direct illness script teaching method that helps students develop correct problem representations and illness scripts is also useful in terms of the construction of pre-clinical students’ illness scripts [1,23]. This approach explicitly teaches illness script construction with an illness script worksheet. Illness script building should start from the beginning of medical training as this script becomes the foundation for further development [6]. The illness script worksheet can serve as a scaffolding to facilitate this process. Self- explanation focusing on pathophysiological mechanisms can also foster the integration of biomedical and clinical knowledge, promoting illness script construction [24]. Self-explanation is a well-known strategy for training clinical reasoning [30]. From a slightly different perspective, Peixoto et al. [24] investigated whether self-explanation of the pathophysiological mechanism of diseases rather than about clinical knowledge can foster the pre-clinical students’ clinical reasoning. They concluded that self-explanation of the pathophysiological mechanism of diseases can help activate biomedical knowledge and create new links between biomedical and clinical knowledge, eventually leading to a more coherent mental representation. However, this positive effect works only in diseases with similar pathophysiological processes or in unfamiliar or complex diseases [24].
Timely and detailed feedback from the faculty is one of the most important strategies in developing clinical reasoning skills [1,5,23,25,27]. Feedback is regarded as effective in promoting reflective processes and enhancing learning [31]. Boshuizen et al. [27] explored what and how students learn from multiple cases with similar underlying problems and found that some students learn from multiple cases with limited feedback, but half of the students did not, particularly in the fault component of illness scripts. They concluded that unsupported case analyses from clinicians are insufficient for integrating biomedical knowledge into illness scripts. Providing timely and detailed feedback when students develop a correct problem representation, comparing and contrasting the findings, and organizing data appropriate for the illness script are essential in terms of illness script construction and clinical reasoning development.
Finally, stepwise exposure to clinical practice is an effective strategy [25]. Royan et al. [25] developed a clinical reasoning elective program to provide preclinical students an exposure to patients in the emergency department without performance pressure or formal grading before their clinical rotations. The students were expected to evaluate the patient in pair and present the findings to their faculty mentors. Royan et al. [25] found that the participating group showed an increased score in clinical assessment and overwhelmingly positive responses to this activity. The clinical training opportunities in a low-stakes environment before entering their clerkships provide pre-clinical students opportunities to practice the integration of basic science knowledge with patient cases in real contexts with sufficient feedback, ultimately facilitating structured and elaborate illness scripts.
Conclusion
This study systematically reviewed learning and teaching interventions, their results, and strategies for preclinical students’ clinical reasoning development by facilitating illness script formation. The literature search strategy generated 91 studies and10 studies were selected for the final analysis. The results demonstrated that diverse teaching and learning methods were used to support the integration of biomedical and clinical knowledge working with patient cases, and their effects, assessed through diverse methods, were largely effective in terms of the clinical reasoning development of pre-clinical students. Acquiring clinical reasoning ability at every level of medical education is an essential learning goal [2]. This review suggests that explicit attempts to promote illness script formation with a structured program rather than informal training lead to positive results, and such formal clinical reasoning training programs could provide a smooth transition from pre-clinical to clinical experience. Research on pre-clinical students’ clinical reasoning development by facilitating illness script formation has recently been rising, but more research is necessary to provide stronger evidence about this important issue. In addition, more randomized controlled studies using standardized assessment methods are recommended to add more convincing evidence.
This study has a few limitations. This study only included peer-reviewed and published journal articles in English. Gray literature and articles not in English and not in formal academic channels were excluded. In addition, this review did not perform a meta-analysis due to the heterogeneity of the assessment methods of the studies, the rarity of randomized controlled trials, and the limited number of analyzed studies.