Promoting clinical reasoning in undergraduate Family Medicine curricula through concept mapping: a qualitative approach.

Clinical reasoning is a crucial skill for physicians, enabling them to bridge theoretical knowledge with practical application. The gap between basic sciences and clinical practice persists as a challenge, with traditional teaching methods yet to effectively bridge it. Concept maps (CMs), visual tools for organizing and connecting knowledge, hold promise for enhancing clinical reasoning in the undergraduate medical curriculum. However, further research is required to ascertain if CMs facilitate clinical reasoning development in medical students transitioning from basic sciences to clinical practice. This study aims to delineate how CMs can facilitate clinical reasoning in patients with multimorbidity within undergraduate Family Medicine curricula, as perceived by students and tutors, and to understand the implementation process and resources required. This exploratory qualitative study formed a part of an action research project. While introducing an educational intervention to 5th-year medical students, we conducted a qualitative evaluation. Subsequently, semi-structured group interviews were conducted with students, and a focus group was conducted with tutors. Three main educational impacts were identified: integration of clinical information, support for patient management and care plan, and collaborative learning. Key aspects for successful CM implementation included clear instructions for map construction, using user-friendly software, allocating sufficient time for the task, encouraging group discussion of CMs, and incorporating tutor feedback. CMs are pedagogical tools that facilitate clinical information integration and support management and treatment plans, helping students better understand multimorbidity patients and promoting some components of clinical reasoning in undergraduate medical education.

The quality of first-year dental students' cognitive structures and the factors that influence it.

INTRODUCTION: In health professions education, it is widely recognised that concept mapping helps students organise their knowledge. This study aimed to investigate the quality of first-year dental students' cognitive structures and the factors that influence it. Two approaches (qualitative and descriptive) to analysing student concept maps are described in this article. The qualitative approach emphasises the distinct morphologies (structures) that are considered to indicate the level of understanding. The descriptive approach provides information on the content's richness in terms of concepts and key concepts. MATERIALS AND METHODS: A total of 31 first-year dental students participated in this study. In an introductory session, students drew their first concept map (CM) using Cmaptools software. Then, students created and submitted individualised CMs for four course topics. Qualitative and descriptive approaches to analysing concept maps are valuable because they highlight what students have learned and how they organise and structure knowledge through CMs. To determine students' cognitive structures and explore the evolution of their representations over the four course topics, two examiners analysed the CMs' morphology and content. RESULTS: Students presented various cognitive structures for the same topic. The quality of concept maps seemed to be influenced by the topic, as well as by familiarisation with making CM. CONCLUSION: Concept mapping revealed the organisation of students' knowledge. This study explored the structural (morphology) and content analyses of CMs. The quality of the CMs seems to be affected by the nature of the topic.

The effectiveness of concept mapping as a tool for developing critical thinking in undergraduate medical education - a BEME systematic review: BEME Guide No. 81.

BACKGROUND: Concept maps (CMs) visually represent hierarchical connections among related ideas. They foster logical organization and clarify idea relationships, potentially aiding medical students in critical thinking (to think clearly and rationally about what to do or what to believe). However, there are inconsistent claims about the use of CMs in undergraduate medical education. Our three research questions are 1) What studies have been published on concept mapping in undergraduate medical education; 2) What was the impact of CMs on students' critical thinking; 3) How and why have these interventions had an educational impact? METHODS: Eight databases were systematically searched (plus a manual and an additional search were conducted). After eliminating duplicate entries, titles and abstracts and full-texts were independently screened by two authors. Data extraction and quality assessment of the studies were independently performed by two authors. Qualitative and quantitative data were integrated using mixed-methods. The results were reported using the STructured apprOach to the Reporting In healthcare education of Evidence Synthesis statement and BEME guidance. RESULTS: Thirty-nine studies were included from 26 journals (19 quantitative, 8 qualitative and 12 mixed-methods studies). CMs were considered as a tool to promote critical thinking, both in the perception of students and tutors, as well as in assessing students' knowledge and/or skills. In addition to their role as facilitators of knowledge integration and critical thinking, CMs were considered both a teaching and a learning methods. CONCLUSIONS: CMs are teaching and learning tools which seem to help medical students develop critical thinking. This is due to the flexibility of the tool as a facilitator of knowledge integration, as a learning and teaching method. The wide range of contexts, purposes, and variations in how CMs and instruments to assess critical thinking are used increases our confidence that the positive effects are consistent.

Zoom-sandwiched cross-chapter concept map: a novel model to optimize a concept map project in online STEM courses.

Although previous studies have confirmed the various benefits of concept maps, limited information is available regarding how to effectively employ the concept map in online courses. In this research, we have designed and assessed the effectiveness of the "Zoom-sandwiched cross-chapter concept map" model in an online biology course. The model has optimized the concept map project because it incorporates synchronous interaction as well as asynchronous communication among students, assigns required meetings with flexible schedules, endows students with intrinsic motivation, and is facilitated by indirect instructor intervention. Our results showed improved student skills in constructing the cross-chapter concept map and positive student perceptions of the model. In addition, this study provided an in-depth analysis of how students benefit from cross-chapter concept maps. Our findings could guide educators on how to optimize the concept map project and utilize concept maps effectively to overcome some primary learning challenges and enhance student learning in online education, especially in STEM fields.NEW & NOTEWORTHY This research aims to optimize the concept map project for STEM courses in the virtual delivery system and to explore its effectiveness. Specifically, we 1) established the "Zoom-sandwiched cross-chapter concept map" model in an online STEM course; 2) evaluated student performance on concept map construction; 3) distributed survey questions to investigate student perception toward the Zoom-sandwiched cross-chapter concept map model; and 4) further explored the mechanism of how this model promoted student learning.

Comparison lecture and concept map methods on the level of learning and satisfaction in puerperal sepsis education of midwifery students: a quasi-experimental study.

BACKGROUND: Education and training about emergency cases are necessary for different medical groups such as midwives. Teaching puerperal sepsis is important for midwives. The teaching method is one of the challenges of the educational system in universities. This study was conducted to compare lecture and concept map methods on the level of learning and satisfaction in puerperal sepsis education of midwifery students. METHOD: This semi-experimental study was conducted in 2022 at Ardabil Nursing and Midwifery School on 50 midwifery students. Students randomly were placed in lecture and concept map teaching groups. To collect data, a 23-question satisfaction questionnaire and a 15-question test taken from the WHO books on the management of puerperal sepsis were used to check students' knowledge and learning. The data were analyzed by using descriptive statistics and independent and paired t-test SPSS software. FINDINGS: The average learning score of the students after teaching in the concept map group was 10.28 ± 1.90 and the lecture group 9.20 ± 1.70, the difference was statistically significant (p = 0.04). The average satisfaction score in the concept map group was 107.92 ± 4.46 and in the lecture group 105.68 ± 6.84, this difference was statistically significant (p = 0.03). CONCLUSION: The teaching of puerperal sepsis with the concept map method had a greater effect on the learning and satisfaction of midwifery students. Therefore, it is recommended to use this educational method.

Information-seeking process and clinical scenario solving: introduction of a new tool in nursing education.

BACKGROUND: Nursing education has recently undergone changes to improve care. These changes require innovative and transformative strategies in nursing education. Search as learning is one of the educational methods this study was conducted to determine the effect of the information searching process on scenario-based learning in nursing students. METHODS: This study is a single group semi-experimental study that was conducted on 38 nursing students in 2021. Students first drew a concept map according to their existing knowledge about two scenarios (diabetes and trauma). The students then searched the medical databases and drew another concept map after the search. Data were analyzed using descriptive statistics, paired mean tests and Pearson correlation coefficients. RESULTS: The results showed that the mean scores of the participants in the diabetes scenario before and after the search were 18.32 ± 5.50 and 19.13 ± 7.54, respectively, and those in the trauma scenario were 18.58 ± 7.69 and 29.61 ± 7, respectively (P < 0.01). The mean scores of the details of the conceptual map before and after the search in terms of themes, number of levels and relationships were statistically significant. In both scenarios, there was a positive correlation (p < 0.01) between learning and the number of correct webpages (r = 0.74 for trauma and r = 0.64 for diabetes), as well as between search time and the amount of learning (r = 0.77 for trauma and 0.64 for diabetes). CONCLUSIONS: The results showed that search as learning in nursing education scenarios led to student learning. It is recommended that nurse educators use this method as a tool in nursing education to increase students' awareness and develop their thinking skills. Further research is recommended to determine the effectiveness of this method with other educational methods.

Clinical reasoning pattern used in oral health problem solving - A case study in Indonesian undergraduate dental students.

BACKGROUND: Health professionals are known to use various combinations of knowledge and skills, such as critical thinking, clinical reasoning, clinical judgment, problem-solving, and decision-making, in conducting clinical practice. Clinical reasoning development is influenced by knowledge and experience, the more knowledge and experience, the more sophisticated clinical reasoning will be. However, clinical reasoning research in dentistry shows varying results . AIMS: This study aims to observe the clinical reasoning pattern of undergraduate dental students when solving oral health problems, and their accordance with their knowledge acquisition. MATERIAL AND METHODS: This qualitative study employed the think-aloud method and the result was assessed through verbal protocol analyses. Five respondents from final year dental undergraduate students were agreed to participate. A unique hypothetical clinical scenario was used as a trigger. The audio data were transcribed, interpreted, and categorized as a clinical reasoning pattern; and the concept maps created were assessed by a Structure of Learning Outcomes (SOLO) taxonomy as knowledge acquisition. RESULTS: Observations on clinical reasoning patterns and the level of knowledge acquisition in five undergraduate dental students showed varying results. They applied clinical reasoning patterns according to their knowledge acquisition during didactical phase. Learners with inadequate knowledge relied on guessing, meanwhile learners with adequate knowledge applied more sophisticated reasoning pattern when solving problems. CONCLUSIONS: Various problem-solving strategies were encountered in this study, which corresponded to the level of knowledge acquisition. Dental institutions must set minimum standards regarding the acquisition of conceptual knowledge accompanied by improvement of clinical reasoning skills, as well as refinement of knowledge and procedural skills.

Weakly Supervised Concept Map Generation through Task-Guided Graph Translation.

Recent years have witnessed the rapid development of concept map generation techniques due to their advantages in providing well-structured summarization of knowledge from free texts. Traditional unsupervised methods do not generate task-oriented concept maps, whereas deep generative models require large amounts of training data. In this work, we present GT-D2G (Graph Translation-based Document To Graph), an automatic concept map generation framework that leverages generalized NLP pipelines to derive semantic-rich initial graphs, and translates them into more concise structures under the weak supervision of downstream task labels. The concept maps generated by GT-D2G can provide interpretable summarization of structured knowledge for the input texts, which are demonstrated through human evaluation and case studies on three real-world corpora. Further experiments on the downstream task of document classification show that GT-D2G beats other concept map generation methods. Moreover, we specifically validate the labeling efficiency of GT-D2G in the label-efficient learning setting and the flexibility of generated graph sizes in controlled hyper-parameter studies.

Investigating online learners' knowledge structure patterns by concept maps: A clustering analysis approach.

A deep understanding of the learning level of online learners is a critical factor in promoting the success of online learning. Using knowledge structures as a way to understand learning can help analyze online students' learning levels. The study used concept maps and clustering analysis to investigate online learners' knowledge structures in a flipped classroom's online learning environment. Concept maps (n = 359) constructed by 36 students during one semester (11 weeks) through the online learning platform were collected as analysis objects of learners' knowledge structures. Clustering analysis was used to identify online learners' knowledge structure patterns and learner types, and a non-parametric test was used to analyze the differences in learning achievement among learner types. The results showed that (1) there were three online learners' knowledge structure patterns of increasing complexity, namely, spoke, small-network, and large-network patterns. Moreover, online learners with novice status mostly had spoke patterns in the context of flipped classrooms' online learning. (2) Two types of online learners were found to have different distributions of knowledge structure patterns, and the complex knowledge structure type of learners exhibited better learning achievement. The study explored a new way for educators to analyze knowledge structures by data mining automatically. The findings provide evidence in the online learning context for the relationship between complex knowledge structures and better learning achievement while suggesting the existence of inadequate knowledge preparedness for flipped classroom learners without a special instructional design.

All together now - patient engagement, patient empowerment, and associated terms in personal healthcare.

BACKGROUND: Patients as active partners in their personal healthcare are key drivers to reducing costs, securing an effective usage of resources, and ensuring patient-provider satisfaction. Even though these benefits are acknowledged, a theoretical framework for the plethora of concepts used in this context, such as patient engagement, patient empowerment, or patient involvement is missing. Furthermore, the heterogeneous or synonymous usage of these terms leads to miscommunication, missing standard conceptual measures, and a deficiency in theory building and testing. Our objective is to show what the relationships and distinctions between concepts focussing on patients as active partners in their personal healthcare are. METHODS: A systematic literature review was conducted to consolidate terms related to patients' having an active role in their healthcare. From 442 articles screened in PubMed, a final set of 17 papers was included. Any articles conceptualising or presenting relationships between the concepts were included. Information was synthesised, and contradictions were unravelled systematically. The concepts and their relationships are structured and represented by employing a concept map. RESULTS: Patient-centredness is a concept dominantly influenced by health care providers and can enhance patients' competencies, attitudes, and behaviours towards their personal healthcare. Enabling patients to become more empowered can ultimately lead to their greater involvement and engagement. Fostering an active role of patients can also increase their adherence to the care pathway. In general, patient engagement seems to be the most conclusive and furthest developed concept in terms of turning patients into active partners in their personal healthcare. CONCLUSIONS: We plead for a stricter demarcation and therefore a terminological standardisation of the terms in the future to avoid further ambiguity and miscommunication. The concept map presents a basis for a uniform understanding and application of the concepts. Through a comprehensive understanding of the terms and their dimensions, relationships between the concepts can be utilised, measures can be derived, and theory building and testing can be enhanced, leading to better acceptance and utilisation of concepts in healthcare services. Furthermore, patient engagement is presented to be the most conclusive and furthest developed concept in the subject area.

Deciphering the Diversity of Mental Models in Neurodevelopmental Disorders: Knowledge Graph Representation of Public Data Using Natural Language Processing.

BACKGROUND: Understanding how individuals think about a topic, known as the mental model, can significantly improve communication, especially in the medical domain where emotions and implications are high. Neurodevelopmental disorders (NDDs) represent a group of diagnoses, affecting up to 18% of the global population, involving differences in the development of cognitive or social functions. In this study, we focus on 2 NDDs, attention deficit hyperactivity disorder (ADHD) and autism spectrum disorder (ASD), which involve multiple symptoms and interventions requiring interactions between 2 important stakeholders: parents and health professionals. There is a gap in our understanding of differences between mental models for each stakeholder, making communication between stakeholders more difficult than it could be. OBJECTIVE: We aim to build knowledge graphs (KGs) from web-based information relevant to each stakeholder as proxies of mental models. These KGs will accelerate the identification of shared and divergent concerns between stakeholders. The developed KGs can help improve knowledge mobilization, communication, and care for individuals with ADHD and ASD. METHODS: We created 2 data sets by collecting the posts from web-based forums and PubMed abstracts related to ADHD and ASD. We utilized the Unified Medical Language System (UMLS) to detect biomedical concepts and applied Positive Pointwise Mutual Information followed by truncated Singular Value Decomposition to obtain corpus-based concept embeddings for each data set. Each data set is represented as a KG using a property graph model. Semantic relatedness between concepts is calculated to rank the relation strength of concepts and stored in the KG as relation weights. UMLS disorder-relevant semantic types are used to provide additional categorical information about each concept's domain. RESULTS: The developed KGs contain concepts from both data sets, with node sizes representing the co-occurrence frequency of concepts and edge sizes representing relevance between concepts. ADHD- and ASD-related concepts from different semantic types shows diverse areas of concerns and complex needs of the conditions. KG identifies converging and diverging concepts between health professionals literature (PubMed) and parental concerns (web-based forums), which may correspond to the differences between mental models for each stakeholder. CONCLUSIONS: We show for the first time that generating KGs from web-based data can capture the complex needs of families dealing with ADHD or ASD. Moreover, we showed points of convergence between families and health professionals' KGs. Natural language processing-based KG provides access to a large sample size, which is often a limiting factor for traditional in-person mental model mapping. Our work offers a high throughput access to mental model maps, which could be used for further in-person validation, knowledge mobilization projects, and basis for communication about potential blind spots from stakeholders in interactions about NDDs. Future research will be needed to identify how concepts could interact together differently for each stakeholder.

Barriers to Accessing Mental Health Services by Migrant Youth.

The purpose of the study was to identify barriers to accessing mental health services by migrant youth in a middle-sized central Canadian city. We asked participants, "What would stop you from talking to someone about mental health stress?". We interviewed 30 youth aged 16 to 22 who migrated from 10 different countries and lived in Canada for an average of 29 months. The data was analyzed using group concept mapping. The participants identified five concepts: fear of being misunderstood or ignored, desire for confidentiality, lack of trust and understanding, talking about it as not appropriate, and fear of the disclosure process. We compare these results with the literature.

How the design and complexity of concept maps influence cognitive learning processes.

Concept maps are assumed to enhance learning as their inherent structure makes relations between information more salient. Nevertheless, research on how to design concept maps as conducive to learning as possible is still rare. In particular, the salience of spatial arrangement of thematically related concepts within the map as well as the complexity of the map were found to be central design elements that influence learning. This study aimed to examine how the structure (i.e., the salience of the spatial relationship between individual concepts) and the complexity (i.e., number of nodes per sub concept) influence learning. Accordingly, a 2 (low vs. high salience of map structure) × 2 (few vs. many nodes) between-subject design was used (N = 122) to examine cognitive processes while learning with a concept map. No significant learning performance differences were found. Concepts maps with a low salience of map structure increased perceptions of disorientation. A serial mediation with learning performances as dependent variable revealed that the salience of the map structure is significantly associated with disorientation and extraneous cognitive load perceptions. By this, current attempts to measure extraneous cognitive load are questioned.

Defining brain health: A concept analysis.

OBJECTIVES: Brain health is an important focus for coming decades due to population ageing. Although the term 'brain health' is increasingly used in lay and professional settings, a clear definition of the term is lacking. We conducted an analysis of the concept of brain health to inform policy, practice, and research. METHODS: We applied a hybrid concept analysis method involving three stages: (1) a review of the extant literature for definitions of brain health; (2) field work, involving an international survey of 'brain health' researchers and practitioners; and (3) a final analysis, integrating the findings into a working definition and model. RESULTS: Our review of the literature identified 13 articles defining brain health, six of which proposed their own definition. Our survey revealed that the term 'brain health' was used in diverse ways based on different theoretical frameworks. From the review and survey, we extracted attributes, antecedents, and consequences of brain health. These were synthesized into a definition of brain health as a life-long, multidimensional, dynamic state consisting of cognitive, emotional and motor domains underpinned by physiological processes and can be objectively measured and subjectively experienced. It is influenced by eco-biopsychosocial determinants. CONCLUSION: This working definition of brain health is a foundation for developing policy, practice, research and advocacy. The definition needs to be operationalised through further development of empirical referents, including cross-cultural understanding, adaptation and validation.

Understanding Digital Health Technologies Using Mind Maps.

PURPOSE: The purpose of this project was to explore digital health technologies in the healthcare environment through the use of concept and mind mapping tools in a graduate level informatics practicum course. DESIGN: This descriptive course evaluation project was conducted at a large university school of nursing during the 2019-2020 academic year and included a convenience sample of 163 doctor of nursing practice students. METHODS: Students completed four major deliverables exploring digital health technologies and data sources using mind maps. Project goals were evaluated using detailed rubrics and data from a course evaluation questionnaire (CEQ) then analyzed using descriptive statistics. Comments from the CEQ and reflection documents were reviewed for themes and validated by two experts. FINDINGS: The variety and creativity of the mind maps along with student comments indicated their ability to apply critical thinking skills to the specific content and technologies being examined. Overall CEQ mean scores were high (M = 4.35), indicating that the mind mapping deliverables were logical, relevant, appropriate, and meaningful to learning. CONCLUSIONS: Nurse educators and healthcare professionals should consider using mind mapping techniques because this venue allows for expanded understanding of the complexities of the healthcare environment and integration of related digital health technologies. CLINICAL RELEVANCE: The recent pandemic highlighted the necessity for new technologies to continue providing patient care services. Mind maps are a fast and economical tool for understanding and prioritizing the needs of an organization as well as a unique teaching strategy to promote critical thinking and sharing of ideas related to digital health technologies.

Applying visual mapping techniques to promote learning in community-based medical education activities.

BACKGROUND: Teaching and learning Community-Based Medical Education (CBME) requires the active engagement of students in various activities to cover planned curricular content. CBME being multifaceted involves careful application and formation of links when attending to community health problems and public health issues. Students often depend on factual recall rather than 'engaging in', to counteract the broad and comprehensive nature of CBME. This study was conducted to assess the effectiveness of Visual mapping techniques as a learning tool in a CBME program for the subject Community Medicine and thereby assist medical undergraduate students in overcoming identified learning challenges. METHODOLOGY: An interventional study was conducted where medical undergraduates were randomly assigned to two different groups (each group = 30). After sensitization, a broad theme was taught to both the groups as a part of community-based teaching (CBT), each week for a month. The students in the intervention group were given the assignment to draw visual maps using the mind mapping & concept mapping techniques, after each CBT session, while the control group had Question-Answer session with built-in discussion (Conventional method) by an equally qualified, experienced faculty with no mapping assignments. A surprise written examination was conducted on the topics taught, and scores of both the groups were compared. Feedback was obtained from the intervention group. RESULTS: Mean score of the examination by the intervention group (29.85 ± 3.22) was significantly higher than and that of the control group (23.06 ± 4.09) (t = 7.14 and p < 0.05). The students shared that the assignment of drawing mind and concept maps for topics taught helped in attempting questions of the written examination by facilitating easy recall of the information learned. It aided to frame the answers to descriptive questions in a structured way with the use of keywords. However, identifying the concepts and establishing relationship between them was slightly challenging. CONCLUSION: 'Visual mapping' in the form of Mind and Concept mapping was found to be an effective learning tool for multifaceted CBME especially in promoting meaningful learning and facilitating rational thinking by the medical undergraduates.

Integrating Concept Maps into a Medical Student Oncology Curriculum.

Expanding frontiers of knowledge have prompted medical schools to reconsider how best to promote learning in the face of information overload. Concept mapping (CM) promotes knowledge retention and integration. Students have perceived CM positively in prior studies, but the feasibility and utility of integrating CM into a medical student oncology curriculum as a learning and assessment tool have not been described. At the University of California, San Francisco, 152 medical students in a second-year hematology/oncology course produced concept maps about a single cancer type over 4 weeks. We collected student evaluations about CM. Two of three graders independently scored each map using a standard rubric. We compared CM scores with USMLE Step 1 scores and clerkship grades using regression. All students produced a concept map. Student perception was mixed, and students provided feedback to improve CM utility as a learning tool. Grading was feasible, and inter-rater reliability was high. CM scores did not predict USMLE Step 1 scores or clerkship grades. CM was feasible as a learning tool, and we present strategies based on student feedback and literature review to improve utility. CM was feasible and reliable as an assessment tool; additional validity evidence may improve utility. Future studies should explore whether CM integrated into medical student oncology curricula early, serially, and collaboratively, with iterative practice and feedback, may predict meaningful learning and performance outcomes.

Picturing ELSI+: a visual representation of ethical, legal, and social issues, and patient experiences in Health Technology Assessment in Canada.

OBJECTIVES: Consideration of ethical, legal, and social issues plus patient values (ELSI+) in health technology assessment (HTA) is challenging because of a lack of conceptual clarity and the multi-disciplinary nature of ELSI+. We used concept mapping to identify key concepts and inter-relationships in the ELSI+ domain and provide a conceptual framework for consideration of ELSI+ in HTA. METHODS: We conducted a scoping review (Medline and EMBASE, 2000-2016) to identify ELSI+ issues in the HTA literature. Items from the scoping review and an expert brainstorming session were consolidated into eighty ELSI+-related statements, which were entered into Concept Systems® Global MAX™ software. Participants (N = 38; 36 percent worked as researchers, 21 percent as academics; 42 percent self-identified as HTA experts) sorted the statements into thematic groups, and rated them on importance in making decisions about adopting technologies in Canada, from 1 (not at all important) to 5 (extremely important). We used Concept Systems® Global MAX™ software to create and analyze concept maps with four to sixteen clusters. RESULTS: Our final ELSI+ map consisted of five clusters, with each cluster representing a different concept and the statements within each cluster representing the same concept. Based on the concepts, we named these clusters: patient preferences/experiences, patient quality of life/function, patient burden/harm, fairness, and organizational. The highest mean importance ratings were for the statements in the patient burden/harm (3.82) and organizational (3.92) clusters. CONCLUSIONS: This study suggests an alternative approach to ELSI+, based on conceptual coherence rather than academic disciplines. This will provide a foundation for incorporating ELSI+ into HTA.

Multimethodology applied to the evaluation of Healthcare in Brazilian municipalities.

The integration of quantitative indicators with qualitative descriptions of context is a noticeable demand from many different scientific disciplines, since it contributes to linking theoretical and practical approaches to problem solving. Amongst them are the problem structuring methods, systems thinking and multimethodology. This work presents a mixed quantitative and qualitative methodological approach to aid formulation and structuring of performance measurement of health care in 5565 Brazilian municipalities. Data mining and data envelopment analysis (DEA) are applied in the context of conceptual mapping, thus shedding light on both quantitative and qualitative factors that influence health performance. Our aim is to propose a methodology for performance indicators to support health care policy making in Brazil, using quantitative indicators. However, the approach does not lose track of the role of important qualitative factors in the attribution of meaning to performance assessments. The methodological and analytical results can strengthen mutual understanding by analysts and stakeholders of the problem at hand. Quantitative results allow inefficient municipalities to understand the causes of their overall efficiency in terms of particular low partial DEA efficiencies combined with high deathrates.

Planning, implementation, and evaluation of multicomponent, case-based learning for first-year Indian medical undergraduates.

Didactic lecture is an effective method to quickly pass on a high volume of information to a large number of students. However, if not well designed, lectures can be monotonous and provide only passive learning, with little scope for higher order learning skills. To address this drawback of lectures, we supplemented it with case-based learning (CBL), which has been shown to promote self-learning. After giving an overview of gastrointestinal physiology through lectures, CBL on peptic ulcer disease was implemented for first-year Bachelor of Medicine, Bachelor of Surgery students. The present study aimed to evaluate the students' and teachers' opinions on the notion of supplementing lectures with CBL. In previous reports, discussion using clinical cases was primarily employed as the solitary component for conducting CBL. In the present study, three different but mutually exclusive components, such as case discussion, concept map, and critical thinking exercise on a specific topic in gastrointestinal pathophysiology, were integrated to form the multicomponent CBL (MC-CBL). Students reported that MC-CBL could promote application of the knowledge learned in lectures in a more appropriate context (92.42% positive response), enhance their learning efficiency (98.46% positive response), promote their active participation in the learning process (98.48% positive response), and help them in integrating physiological concepts with clinical science (98.46% positive response). Teachers observed that MC-CBL could promote active learning, analytic, and problem-solving skills of students. In conclusion, MC-CBL appeared to be an effective supplement for the lectures, providing an opportunity for the students to relate the knowledge learned during lectures.