(years)
† Scheffé test; ‡ PBL, problem based learning.
There was a strong, significantly positive correlation between metacognition and problem-solving ability (r = 0.672, p < 0.001), and communication competence and problem-solving ability (r = 0.542, p < 0.001). There was also a strong, significantly positive correlation between metacognition and communication competence (r = 0.557, p < 0.001; Table 4 ).
Relationships between metacognition, communication competence, and problem-solving ability (N = 192).
Variables | Metacognition | Communication Competence | Problem-Solving Ability |
---|---|---|---|
r ( ) | r ( ) | r ( ) | |
Metacognition | 1 | ||
Communication competence | 0.557 (<0.001) | 1 | |
Problem-solving ability | 0.672 (<0.001) | 0.542 (<0.001) | 1 |
Among general characteristics, variables were converted into dummy variables as needed to confirm their effect on the problem-solving ability of nursing students (e.g., age, 23 years or older = 1; academic level, third year = 1; interpersonal relationships, very good = 1; satisfaction with major, more than satisfied = 1; the number of PBL experiences, 3–6 times = 1; and the number of training weeks, 7 weeks or more = 1). A hierarchical stepwise multiple regression analysis was then performed, inputting communication ability followed by metacognition, which were significantly correlated.
The Durbin–Watson value was 1.96 (close to 2), which confirmed that there was no autocorrelation between the independent variables. The variance inflation factor was 1.013 to 4.999; as all value were less than 10, there were no problems with multicollinearity between independent variables.
General characteristics that showed a significant difference with problem-solving ability in univariate analyses were first input to Model 1, namely age, academic level, interpersonal relationships, and satisfaction with major. This model explained 8.1% of the variance in problem-solving ability. When PBL experience and frequency, clinical practice, and number of weeks were added to Model 1 (Model 2), the variance explained was 12.5%, namely an increased of 4.4% compared to Model 1. When communication competence and metacognition were additionally added to Model 2 (Model 3), the variance explained was 51.2%, which is an increase of 38.7% compared to Model 2. Finally, age (β = 0.11, p = 0.048), communication competence (β = 0.24, p = 0.001), and metacognition (β = 0.52, p = 0.023) were significantly related to problem-solving ability. These variables exhibited an explanatory power of 51.2% (F = 21.01, p < 0.001) regarding job satisfaction; the most influential variable was metacognition ( Table 5 ).
Factors influencing problem-solving ability (N = 192).
Variables | Model 1 | Model 2 | Model 3 | ||||||
---|---|---|---|---|---|---|---|---|---|
B | β | t | B | β | t | B | β | t | |
Age (R = ≥23) | 0.13 | 0.16 | 2.29 * | 0.10 | 0.13 | 1.77 | 0.09 | 0.11 | 1.99 * |
Academic level (R = Junior) | −0.06 | −0.09 | −1.22 | −0.23 | −0.31 | −2.71 * | −0.12 | −0.17 | 1.91 |
Interpersonal relationships (R = Very good) | 0.16 | 0.17 | 2.41 * | 0.14 | 0.15 | 2.11 * | −0.19 | −0.02 | −0.33 |
Satisfaction with major (R = Satisfied) | 0.13 | 0.17 | 2.40 * | 0.11 | 0.15 | 2.10 * | −0.01 | −0.02 | −0.35 |
PBL experience | −0.25 | −0.34 | −2.25 * | −0.09 | −0.11 | −1.01 | |||
Number of PBL experiences (R = 3–6) | 0.14 | 0.19 | 1.66 | 0.14 | 0.18 | 2.13 * | |||
Clinical practice experience | 0.11 | 0.16 | 1.16 | 0.11 | 0.16 | 1.16 | |||
Weeks of clinical practice experience (R = ≥7) | −0.00 | −0.004 | −0.03 | 0.09 | 0.12 | −0.03 | |||
Communication competence | 0.19 | 0.24 | 3.42 * | ||||||
Metacognition | 0.38 | 0.52 | 8.22 * | ||||||
Adj R = 0.081, F = 5.20, = 0.001 | Adj R = 0.125, F = 4.42, < 0.001 | Adj R = 0.512, F = 21.01, < 0.001 |
† Dummy variables; ‡ Reference; ¶ PBL, problem-based learning; * p < 0.05.
In this study, the mean problem-solving ability score of nursing students was 3.63 out of 5, which is similar to the 3.56 points reported in a study targeting third- and fourth- year students in the department of nursing [ 24 ]. However, the current value is higher than the 3.44 points reported in a study targeting first- and second-year students [ 13 ]. Participants in these studies were nursing students in the second, third, and fourth years of study in this paper, in the third and fourth years in the study done by Kim et al. [ 24 ]; and in the first and second grades in the study by Ji et al. [ 13 ]. Problem-solving ability can be developed under the influence of various factors; those identified in previous studies include communication ability [ 13 ], critical thinking ability [ 12 , 25 ], metacognition [ 11 ], and self-directed learning [ 2 ]. These factors are continuously improved through various interpersonal relationships formed while learning and studying liberal arts and other major subjects, rather than existing as innate abilities [ 26 ]. Therefore, the degree of problem-solving ability was rather high in the study targeting the upper grades. Problem-solving ability in various unexpected situations is essential for working as a nurse [ 27 ]. In the current study, the problem-solving ability score of nursing students approximated the 72.6 percentile of the full 100-point scale. Although this score is relatively high, it is nevertheless necessary to improve problem-solving ability; given the nature of the nurse’s job, this ability represents a very important competency. Therefore, it is necessary to improve the problem-solving ability level of nursing students in Korea. The results of this study showed that factors affecting nursing students’ problem-solving ability were metacognition, communication competence, and age. It is necessary to establish a strategy that considers these factors to improve the problem-solving ability of nursing students.
The participants’ average metacognitive score was 3.86 out of 5, which was slightly higher than the 3.61 observed in a study conducted using the same tools for second-year nursing students [ 12 ]. While direct comparison using other tools is difficult, the metacognitive level of 72.3 obtained by Kim [ 28 ] for all grades in the nursing department was lower than the 77.2 points (out of 100 points) obtained in this study. According to Sternberg and Sternberg [ 29 ], the problem-solving phase includes problem identification, problem expression, strategy formulation, information construction, resource allocation, supervision, and evaluation. For health science students, metacognitive instruction has been shown to have a positive effect on students’ problem-solving ability and in improving academic achievement [ 30 ]. That is, metacognition is a key factor in predicting learning outcomes in the problem-solving domain [ 31 ]. These results were replicated in this study, which showed that a higher metacognitive level of nursing students indicated a significantly higher problem-solving ability. The subjects of this study were second-, third-, and fourth-year nursing students, and it is thought that their metacognitive level was improved compared to students in earlier phases of education, as a result of the curriculum of the nursing department. Educational programs and strategies to improve metacognition will be needed to improve the problem-solving ability of nursing students. The components of metacognition are thinking deeply in the planning stage, establishing possible strategies, undertaking regulating and monitoring activities to carry out the strategy, and revising and regulating to ensure that the solution is progressing in an appropriate direction to achieve the goal [ 32 ]. Therefore, a professor who instructs and checks nursing students is necessary to enable them to set their own goals in the curricular and non-curricular programs as they advance through the course, plan and implement strategies to achieve their goals through deep thinking, and conduct their own monitoring and control processes.
The average communication competence score of the subjects was 3.92 out of 5. Previous studies targeting students in various years of the course at the department of nursing found that the communication competence of nursing students also improved as they progressed through the course, with values reported of 3.58 points [ 33 ] and 3.56 points [ 34 ].
In previous studies, communication competence was a factor affecting nursing students’ problem-solving ability [ 13 ]. However, the current study is valuable because it additionally revealed that the level of problem-solving ability significantly increased according to the level of communication competence. Case-based education is suggested as a strategy to simultaneously improve communication competence and problem-solving skills in nursing student education [ 17 ]. This is because it is difficult to solve problems through integrative thinking and effective communication in a clinical environment, such as a hospital, with only theoretical knowledge of nursing subjects. Thus, the PBL method is applied to theoretical education in nursing colleges [ 35 , 36 ]. The results of this study showed that the presence or absence of PBL education had a significant effect on the problem-solving ability of nursing students; this ability improved when the PBL factor was added to Model 2. Therefore, it is necessary for nursing professors to practice and improve the communication competence of their students through case-based education in various subjects beginning in the first year to improve the problem-solving abilities of the students.
Additionally, the age of the subjects was also a factor influencing the problem-solving ability. Stewart, Cooper, and Moulding [ 37 ] reported that metacognitive levels increase with age. The study revealed that the communication competence of nursing students improved through various experiences [ 38 ]. Age may have had a similar influence.
Previous studies identified critical thinking disposition, empathy, nursing professional intuition, self-leadership [ 24 ], learning motivation [ 17 ], and communication competence [ 13 ] as examples of factors that affect nursing students’ problem-solving ability. However, this study demonstrated that metacognition also significantly affects the problem-solving ability of nursing students. In particular, metacognition and communication competence are considered key concepts, as they explained 51.2% of nursing students’ problem-solving ability. Therefore, it is necessary to consider and continuously apply educational strategies to improve metacognition and communication competence in the education of nursing students in the future.
This study is limited by the small number of nursing colleges that were included in the sampling, as this hinders the generalizability of the results.
This was a descriptive research study that identified the degree of and correlations between metacognition, communication competence, and problem-solving ability of nursing students, and identified factors that affect problem-solving ability. The results demonstrated that age, communication competence, and metacognition were the factors that most significantly affected the problem-solving ability of nursing students. Among these factors, metacognition had the greatest influence. Therefore, to improve the problem-solving ability of nursing students, an educational strategy is needed to improve communication competence through case-based learning in the curriculum, and development and application of activities such as PBL. In addition, the guidance of professors is needed to enable nursing students to improve their metacognition.
Since this study revealed that metacognition is a factor that influences the problem-solving ability of nursing students, we recommend conducting a study to check whether it affects actual problem-solving by developing and applying a metacognitive improvement curriculum in the future.
We would like to thank the nursing students who participated in the study.
This study was supported by the research fund of Korean Bible University in 2021.
Conceptualization, E.C. and J.J.; methodology, E.C. and J.J.; validation, E.C.; formal analysis, E.C.; investigation, E.C. and J.J.; resources, E.C. and J.J.; data curation, E.C.; writing—original draft preparation, E.C.; writing—review and editing, J.J.; supervision, E.C.; project administration, E.C. and J.J.; funding acquisition, E.C. All authors have read and agreed to the published version of the manuscript.
The study was conducted according to the guidelines of the Declaration of Helsinki and approved by the Institutional Review Board (or Ethics Committee) of Gangneung–Wonju National University (No. GWNUIRB-2022-1).
Informed consent was obtained from all subjects involved in the study.
Conflicts of interest.
The authors declare no conflict of interest.
Publisher’s Note: MDPI stays neutral with regard to jurisdictional claims in published maps and institutional affiliations.
Stumped five ways to hone your problem-solving skills.
Respect the worth of other people's insights
Problems continuously arise in organizational life, making problem-solving an essential skill for leaders. Leaders who are good at tackling conundrums are likely to be more effective at overcoming obstacles and guiding their teams to achieve their goals. So, what’s the secret to better problem-solving skills?
“Too often, people fail because they haven’t correctly defined what the problem is,” says David Ross, an international strategist, founder of consultancy Phoenix Strategic Management and author of Confronting the Storm: Regenerating Leadership and Hope in the Age of Uncertainty .
Ross explains that as teams grapple with “wicked” problems – those where there can be several root causes for why a problem exists – there can often be disagreement on the initial assumptions made. As a result, their chances of successfully solving the problem are low.
“Before commencing the process of solving the problem, it is worthwhile identifying who your key stakeholders are and talking to them about the issue,” Ross recommends. “Who could be affected by the issue? What is the problem – and why? How are people affected?”
He argues that if leaders treat people with dignity, respecting the worth of their insights, they are more likely to successfully solve problems.
Best 5% interest savings accounts of 2024, 2. unfocus the mind.
“To solve problems, we need to commit to making time to face a problem in its full complexity, which also requires that we take back control of our thinking,” says Chris Griffiths, an expert on creativity and innovative thinking skills, founder and CEO of software provider OpenGenius, and co-author of The Focus Fix: Finding Clarity, Creativity and Resilience in an Overwhelming World .
To do this, it’s necessary to harness the power of the unfocused mind, according to Griffiths. “It might sound oxymoronic, but just like our devices, our brain needs time to recharge,” he says. “ A plethora of research has shown that daydreaming allows us to make creative connections and see abstract solutions that are not obvious when we’re engaged in direct work.”
To make use of the unfocused mind in problem solving, you must begin by getting to know the problem from all angles. “At this stage, don’t worry about actually solving the problem,” says Griffiths. “You’re simply giving your subconscious mind the information it needs to get creative with when you zone out. From here, pick a monotonous or rhythmic activity that will help you to activate the daydreaming state – that might be a walk, some doodling, or even some chores.”
Do this regularly, argues Griffiths, and you’ll soon find that flashes of inspiration and novel solutions naturally present themselves while you’re ostensibly thinking of other things. He says: “By allowing you to access the fullest creative potential of your own brain, daydreaming acts as a skeleton key for a wide range of problems.”
“Admitting to not knowing the future takes courage,” says Professor Stephen Wyatt, founder and lead consultant at consultancy Corporate Rebirth and author of Antidote to the Crisis of Leadership: Opportunity in Complexity . “Leaders are worried our teams won’t respect us and our boards will lose faith in us, but what doesn’t work is drawing up plans and forecasts and holding yourself or others rigidly to them.”
Wyatt advises leaders to heighten their situational awareness – to look broadly, integrate more perspectives and be able to connect the dots. “We need to be comfortable in making judgment calls as the future is unknown,” he says. “There is no data on it. But equally, very few initiatives cannot be adjusted, refined or reviewed while in motion.”
Leaders need to stay vigilant, according to Wyatt, create the capacity of the enterprise to adapt and maintain the support of stakeholders. “The concept of the infallible leader needs to be updated,” he concludes.
“Organisations, and arguably society more widely, are obsessed with problems and the notion of problems,” says Steve Hearsum, founder of organizational change consultancy Edge + Stretch and author of No Silver Bullet: Bursting the Bubble of the Organisational Quick Fix .
Hearsum argues that this tendency is complicated by the myth of fixability, namely the idea that all problems, however complex, have a solution. “Our need for certainty, to minimize and dampen the anxiety of ‘not knowing,’ leads us to oversimplify and ignore or filter out anything that challenges the idea that there is a solution,” he says.
Leaders need to shift their mindset to cultivate their comfort with not knowing and couple that with being OK with being wrong, sometimes, notes Hearsum. He adds: “That means developing reflexivity to understand your own beliefs and judgments, and what influences these, asking questions and experimenting.”
Leaders must be able to communicate problems in order to find solutions to them. But they should avoid bombarding their teams with complex, technical details since these can overwhelm their people’s cognitive load, says Dr Jessica Barker MBE , author of Hacked: The Secrets Behind Cyber Attacks .
Instead, she recommends that leaders frame their messages in ways that cut through jargon and ensure that their advice is relevant, accessible and actionable. “An essential leadership skill for this is empathy,” Barker explains. “When you’re trying to build a positive culture, it is crucial to understand why people are not practicing the behaviors you want rather than trying to force that behavioral change with fear, uncertainty and doubt.”
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Development and effects of adult nursing education programs using virtual reality simulations.
Lee, E.; Baek, G. Development and Effects of Adult Nursing Education Programs Using Virtual Reality Simulations. Healthcare 2024 , 12 , 1313. https://doi.org/10.3390/healthcare12131313
Lee E, Baek G. Development and Effects of Adult Nursing Education Programs Using Virtual Reality Simulations. Healthcare . 2024; 12(13):1313. https://doi.org/10.3390/healthcare12131313
Lee, Eunju, and Gyuli Baek. 2024. "Development and Effects of Adult Nursing Education Programs Using Virtual Reality Simulations" Healthcare 12, no. 13: 1313. https://doi.org/10.3390/healthcare12131313
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4 min read • May, 19 2023
Strong leaders in nursing are vital to help navigate the constant evolution of health care. Nurse leaders do more than balance costs, monitor productivity, and maintain patient and staff satisfaction. They serve as role models and influence health care organizations at all levels. A strong nurse leader motivates their colleagues, setting the tone for a safe, civil workplace with a culture of high morale and job retention.
A nurse leader is defined by their actions, and not always by a position of authority. Leaders in nursing inspire and influence others to achieve their maximum potential. They use applied leadership in nursing by drawing upon critical thinking skills to manage a team.
Nurse leaders take a broad view of how daily tasks impact the overall goals of the health care organization. They communicate expectations to their team and motivate them to achieve predetermined goals. Nurses can lead from various organizational areas if they project the necessary leadership qualities to influence others.
A nurse leader role combines essential nursing, business, and leadership skills developed through ongoing learning . They must be flexible enough to adapt to technological changes, fluctuating payment methods, new treatment modalities, and regulatory and legislative environments. Critical skills for effective nursing leadership include:
Other nursing leadership skills, such as displaying compassion and empathy, can assist the nurse leader in developing interpersonal relationships and gaining respect in their role.
Nursing leadership styles can impact job satisfaction , nurse retention rates , quality of care, and patient outcomes . The nurse’s educational background, personality, and work environment may influence their nursing leadership style. Each type of nurse leader role can be valuable when utilized in the right setting.
Projecting leadership skills in nursing that influences others can allow a nurse to lead without being assigned a specific leadership position. The aspiring nurse leader might:
A nurse aspiring for a nursing leadership role can get a certification or obtain additional degrees specific to nursing leadership to increase their knowledge base and expand upon professional development. But a title and the education aren’t enough to create an effective leader. Nurses and other health care staff need to believe their contributions make a difference in the organization.
Nurse leaders make a difference in workplace culture and drive positive changes in health care legislation. When a team admires the qualities of their leader, it boosts morale and promotes a psychologically safe workplace, which leads to higher job satisfaction and retention rates. Influential leaders in nursing ensure that the organization's vision is communicated to the nursing staff while mentoring the nursing leadership of tomorrow .
Explore courses, webinars, and other nursing leadership and excellence resources offered by ANA .
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BMC Nursing volume 23 , Article number: 441 ( 2024 ) Cite this article
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Case analysis is a dynamic and interactive teaching and learning strategy that improves critical thinking and problem-solving skills. However, there is limited evidence about its efficacy as an assessment strategy in nursing education.
This study aimed to explore nursing students’ perceived efficacy of case analysis as an assessment method for clinical competencies in nursing education.
This study used a mixed methods design. Students filled out a 13-item study-advised questionnaire, and qualitative data from the four focus groups was collected. The setting of the study was the College of Nursing at Sultan Qaboos University, Oman. Descriptive and independent t-test analysis was used for the quantitative data, and the framework analysis method was used for the qualitative data.
The descriptive analysis of 67 participants showed that the mean value of the perceived efficacy of case analysis as an assessment method was 3.20 (SD = 0.53), demonstrating an 80% agreement rate. Further analysis indicated that 78.5% of the students concurred with the acceptability of case analysis as an assessment method (mean = 3.14, SD = 0.58), and 80.3% assented its association with clinical competencies as reflected by knowledge and cognitive skills (m = 3.21, SD = 0.60). No significant difference in the perceived efficacy between students with lower and higher GPAs (t [61] = 0.05, p > 0.05) was identified Three qualitative findings were discerned: case analysis is a preferred assessment method for students when compared to MCQs, case analysis assesses students’ knowledge, and case analysis assesses students’ cognitive skills.
This study adds a potential for the case analysis to be acceptable and relevant to the clinical competencies when used as an assessment method. Future research is needed to validate the effectiveness of case analysis exams in other nursing clinical courses and examine their effects on academic and clinical performance.
Peer Review reports
Nurses play a critical role in preserving human health by upholding core competencies [ 1 ]. Clinical competence in nursing involves a constant process of acquiring knowledge, values, attitudes, and abilities to deliver safe and high-quality care [ 2 , 3 ]. Nurses possessing such competencies can analyze and judge complicated problems, including those involving crucial patient care, ethical decision-making, and nurse-patient disputes, meeting the constantly altering health needs [ 4 , 5 ]. To optimize the readiness of the new graduates for the challenging clinical work environment needs, nurse leaders call for integrating clinical competencies into the nursing curriculum [ 6 , 7 ] In 2021, the American Association of Colleges of Nursing (AACN) released updated core competencies for professional nursing education [ 8 ]. These competencies were classified into ten fundamental essentials, including knowledge of nursing practice and person-centered care (e.g. integrate assessment skills in practice, diagnose actual or potential health problems and needs, develop a plan of care), representing clinical core competencies.
Nursing programs emphasize clinical competencies through innovative and effective teaching strategies, including case-based teaching (CBT) [ 9 ]. CBT is a dynamic teaching method that enhances the focus on learning goals and increases the chances of the instructor and students actively participating in teaching and learning [ 10 , 11 ]. Additionally, it improves the students’ critical thinking and problem-solving skills and enriches their capacity for independent study, cooperation capacity, and communication skills [ 12 , 13 , 14 , 15 ]. It also broadens students’ perspectives and helps develop greater creativity in fusing theory and practice [ 16 , 17 , 18 , 19 , 20 ]. As the learning environment significantly impacts the students’ satisfaction, case analysis fosters a supportive learning atmosphere and encourages active participation in learning, ultimately improving their satisfaction [ 21 , 22 ].
In addition to proper teaching strategies for clinical competencies, programs are anticipated to evaluate the students’ attainment of such competencies through effective evaluation strategies [ 23 ]. However, deploying objective assessment methods for the competencies remains challenging for most educators [ 24 ]. The standard assessment methods used in clinical nursing courses, for instance, include clinical evaluations (direct observation), skills checklists, Objective Structured Clinical Examination (OSCE), and multiple-choice questions (MCQs) written exams [ 25 ]. MCQs tend to test the recall of factual information rather than the application of knowledge and cognitive skills, potentially leading to assessment inaccuracies [ 26 ].
Given the aforementioned outcomes of CBT, the deployment of case analysis as a clinical written exam is more closely aligned with the course’s expected competencies. A mixed methods study was conducted among forty nursing students at the University of Southern Taiwan study concluded that the unfolding case studies create a safe setting where nursing students can learn and apply their knowledge to safe patient care [ 6 ]. In a case analysis, the patient’s sickness emerges in stages including the signs and symptoms of the disease, urgent care to stabilize the patient, and bedside care to enhance recovery. Thus, unfolding the case with several scenarios helps educators track students’ attained competencies [ 27 ]. However, case analysis as an assessment method is sparsely researched [ 28 ]. A literature review over the past five years yielded no studies investigating case analysis as an assessment method, necessitating new evidence. There remains uncertainty regarding its efficacy as an assessment method, particularly from the students’ perspectives [ 29 ]. In this study, we explored the undergraduate nursing students’ perceived efficacy of case analysis as an assessment method for clinical competencies. Results from this study will elucidate the position of case analysis as an assessment method in nursing education. The potential benefits are improved standardization of clinical assessment and the ability to efficiently evaluate a broad range of competencies.
Mixed-method research with a convergent parallel design was adopted in the study. This approach intends to converge two data types (quantitative and qualitative) at the interpretation stage to ensure an inclusive research problem analysis [ 30 ]. The quantitative aspect of the study was implemented through a cross-sectional survey. The survey captured the perceived efficacy of using case analysis as an assessment method in clinical nursing education. The qualitative part of the study was carried out through a descriptive qualitative method using focus groups to provide an in-depth understanding of the perceived strengths experienced by the students.
Data were collected in the College of Nursing at Sultan Qaboos University (SQU), Oman, during the Spring and Fall semesters of 2023. At the end of each clinical course, the students have a clinical written exam and a clinical practical exam, which constitute their final exam. Most clinical courses use multiple-choice questions (MCQs) in their written exam. However, the child health clinical course team initiated the case analysis as an assessment method in the clinical written exam, replacing the MCQs format.
For this study, the investigators invited undergraduate students enrolled in the child health nursing clinical course in the Spring and Fall semesters of 2023. Currently, the only course that uses case analysis is child health. Other courses use MCQs. A total enumeration sampling technique was adopted. All the students enrolled in child health nursing clinical courses in the Spring and Fall 2023 semesters were invited to participate in the study. In the Spring, 36 students registered for the course, while 55 students were enrolled in the Fall. We included students who completed the case analysis as a final clinical written exam on the scheduled exam time. Students who did not show up for the exam during the scheduled time and students not enrolled in the course during the Spring and Fall of 2023 were excluded. Although different cases were used each semester, both had the same structure and level of complexity. Further, both cases were peer-reviewed.
The format presents open-ended questions related to a clinical case scenario. It comprises three main sections: Knowledge, Emergency Room, and Ward. The questions in the sections varied in difficulty based on Bloom’s cognitive taxonomy levels, as presented in Table 1 . An answer key was generated to ensure consistency among course team members when correcting the exam. Three experts in child health nursing peer-reviewed both the case analysis exam paper and the answer key paper. The students were allocated two hours to complete the exam.
Quantitative stage.
The researchers developed a study questionnaire to meet the study objectives. It included two parts. The first was about the demographic data, including age, gender, type of residence, year in the program, and cumulative grade point average (GPA). The second part comprised a 13-item questionnaire assessing the perceived efficacy of case analysis as an assessment method. The perceived efficacy was represented by the acceptability of case analysis as an assessment method (Items 1–5 and 13) and the association with clinical competencies (Items 6 to 12). Acceptability involved format organization and clarity, time adequacy, alignment with course objectives, appropriateness to students’ level, and recommendation for implementation in other clinical nursing courses. Clinical competencies-related items were relevant to knowledge (motivation to prepare well for the exam, active learning, interest in topics, collaboration while studying) and cognitive skills (critical thinking, decision-making, and problem-solving skills) (The questionnaire is attached as a supplementary document).
The questionnaire is answered on a 4-point Likert scale: 1 = strongly disagree, 2 = disagree, 3 = agree, 4 = strongly agree. Higher scores indicated better perceived efficacy and vice versa. The tool underwent content validity testing with five experts in nursing clinical education, resulting in an item-content validity index ranging from 0.7 to 1. The Cronbach alpha was 0.83 for acceptability and 0.90 for clinical competencies.
For the focus group interviews, the investigators created a semi-structured interview guide to obtain an in-depth understanding of the students’ perceived strengths of case analysis as an assessment method. See Table 2 .
Data was collected from the students after they gave their written informed consent. Students were invited to fill out the study questionnaire after they completed the case analysis as a clinical written exam.
All students in the child health course were invited to participate in focus group discussions. Students who approached the PI to participate in the focus group discussion were offered to participate in four different time slots. So, the students chose their time preferences. Four focus groups were conducted in private rooms at the College of Nursing. Two trained and bilingual interviewers attended the focus groups, one as a moderator while the other took notes on the group dynamics and non-verbal communication. The discussion duration ranged between 30 and 60 min. After each discussion, the moderator transcribed the audio recording. The transcriptions were rechecked against the audio recording for accuracy. Later, the transcriptions were translated into English by bilingual researchers fluent in Arabic and English for the analysis.
The rigor and trustworthiness of the qualitative method were enhanced using multiple techniques. Firstly, quantitative data, literature reviews, and focus groups were triangulated. Participants validated the summary after each discussion using member checking to ensure the moderator’s understanding was accurate. Third, the principal investigator (PI) reflected on her assumptions, experiences, expectations, and feelings weekly. In addition, the PI maintained a detailed audit trail of study details and progress. The nursing faculty conducted the study with experience in qualitative research and nursing education. This report was prepared following the Standard for Reporting Qualitative Research (SRQR) protocol [ 31 ].
Quantitative data were entered in SPSS version 24 and analyzed using simple descriptive analysis using means, standard deviations, and percentages. After computing the means of each questionnaire item, an average of the means was calculated to identify the perceived efficacy rate. A similar technique was used to calculate the rate of acceptability and clinical competencies. The percentage was calculated based on the mean: gained score/total score* 100. In addition, the investigators carried out an independent t-test to determine the relationship between the perceived efficacy and students’ GPA.
The qualitative data were analyzed using the framework analysis method. In our analysis, we followed the seven interconnected stages of framework analysis: (1) transcription, (2) familiarization with the interview, (3) coding, (4) developing a working analytical framework, (5) applying the analytical framework, (6) charting data into framework matrix and (7) interpreting the data [ 32 ]. Two members of the team separately analyzed the transcriptions. Then, they discussed the coding, and discrepancies were solved with discussion.
In our study, the quantitative and qualitative data were analyzed separately, and integration occurred at the interpretation level by merging the data [ 33 ]. As a measure of integration between qualitative and quantitative data, findings were assessed through confirmation, expansion, and discordance. If both data sets confirmed each other’s findings, it was considered confirmation, and if they expanded each other’s insight, it was considered expansion. Discordance was determined if the findings were contradictory.
Ethical approval was obtained from the Research and Ethics Committee of the College of Nursing, SQU (CON/NF/2023/18). Informed consent was collected, and no identifiable information was reported. For the focus group interviews, students were reassured that their grades were finalized, and their participation would not affect their grades. Also, the interviewers were instructed to maintain a non-judgmental and non-biased position during the interview. Data were saved in a locked cabinet inside a locked office room. The electronic data were saved in a password-protected computer.
The results section will present findings from the study’s quantitative and qualitative components. The integration of the two data types is described after each qualitative finding.
We analyzed the data of 67 participants, representing a 73.6% response rate. The mean age was 21.0 years old (SD 0.73) and 36.4% were male students. See Table 3 for more details.
The descriptive analysis showed that the mean value of the perceived efficacy of case analysis as an assessment method was 3.20 (SD = 0.53), demonstrating an 80% agreement rate. Further analysis indicated that 78.5% of the students concurred the acceptability of case analysis as an assessment method (mean = 3.14, SD = 0.58) and 80.3% (m = 3.21, SD = 0.60) assented the clinical competencies associated with it.
For the items representing acceptability, 81.8% of the students agreed that the case analysis was written clearly, and 80.3% reported that it was well organized. As per the questions, 81% described they were appropriate to their level, and 79.8% agreed upon their alignment with the course objectives. Moreover, the time allocated was adequate for 74.5% of the students, and 73.5% recommend using case analysis as an evaluation strategy for other clinical written examinations.
Regarding the clinical competencies, 77.3% of students agreed that the case analysis motivated them to prepare well for the exam, 81.3% reported that it encouraged them to be active in learning, and 81.0% indicated that it stimulated their interest in the topics discussed in the course. Additionally, 76.5% of the students agreed that the case analysis encouraged them to collaborate with other students when studying for the exam. Among the students, 82.5% reported that the case analysis as an assessment method enhanced their critical thinking skills, 81.0% agreed that it helped them practice decision-making skills, and 81.8% indicated that it improved their problem-solving abilities. See Table 4 .
The independent t-test analysis revealed no significant difference in the perceived efficacy between students with lower and higher GPAs (t [61] = 0.05, p > 0.05). Further analysis showed that the means of acceptability and clinical competencies were not significantly different between the lower GPA group and higher GPA group, t [62] = 0.72, p > 0.05 and t [63] = -0.83, p > 0.05, respectively (Table 5 ).
A total of 22 had participated in four focus groups, each group had 5–6 students. The qualitative framework analysis revealed three main findings; case analysis is a preferred assessment method to students when compared to MCQs, case analysis assesses students’ knowledge, and case analysis assesses students’ cognitive skills.
Most of the students’ statements about the case analysis as an assessment method were positive. One student stated, “Previously, we have MCQs in clinical exams, but they look as if they are theory exams. This exam makes me deal with cases like a patient, which is good for clinical courses.” . At the same time, many students conveyed optimism about obtaining better grades with this exam format. A student stated, “Our grades, with case analysis format, will be better, … may be because we can write more in open-ended questions, so we can get some marks, in contrast to MCQs where we may get it right or wrong” . On the other hand, a few students suggested adding multiple-choice questions, deleting the emergency department section, and lessening the number of care plans in the ward section to secure better grades.
Although the case analysis was generally acceptable to students, they have repeatedly expressed a need to allocate more time for this type of exam. A student stated, “The limited time with the type of questions was a problem, …” . When further discussion was prompted to understand this challenge, we figured that students are not used to handwriting, which has caused them to be exhausted during the exam. An example is “writing is time-consuming and energy consuming in contrast to MCQs …” . These statements elucidate that the students don’t necessarily mind writing but recommend more practice as one student stated, “More experience of this type of examination is required, more examples during clinical practice are needed.” Some even recommended adopting this format with other clinical course exams by saying “It’s better to start this method from the first year for the new cohort and to apply it in all other courses.”
The abovementioned qualitative impression supports the high acceptability rate in quantitative analysis. In fact, there is a general agreement that the case analysis format surpasses the MCQs when it comes to the proper evaluation strategies for clinical courses. Expressions in the qualitative data revealed more details, such as the limited opportunities to practice handwriting, which negatively impacted the perceived adequacy of exam time.
Students conferred that they were reading more about the disease pathophysiology, lab values, and nursing care plans, which they did not usually do with traditional means of examination. Examples of statements include “… before we were not paying attention to the normal lab results but …in this exam, we went back and studied them which was good for our knowledge” and “we cared about the care plan. In previous exams, we were not bothered by these care plans”. Regarding the burden that could be perceived with this type of preparation, the students expressed that this has helped them prepare for the theory course exam; as one student said, “We also focus on theory lectures to prepare for this exam …. this was very helpful to prepare us for the theory final exam as well.” However, others have highlighted the risks of limiting the exam’s content to one case analysis. The argument was that some students may have not studied the case completely or been adequately exposed to the case in the clinical setting. To solve this risk, the students themselves advocated for frequent case group discussions in the clinical setting as stated by one student: “There could be some differences in the cases that we see during our clinical posting, for that I recommend that instructors allocate some time to gather all the students and discuss different cases.” Also, the participants advocated for more paper-based case analysis exercises as it is helpful to prepare them for the exams and enhance their knowledge and skills.
The qualitative finding supports the quantitative data relevant to items 6, 7, and 8. Students’ expressions revealed more insights, including the acquisition of deeper knowledge, practicing concept mapping, and readiness for other course-related exams. At the same time, students recommended that faculty ensure all students’ exposure to common cases in the clinical setting for fair exam preparation.
Several statements conveyed how the case analysis format helped the students use their critical thinking and analysis skills. One student stated, “It, the case analysis format, enhanced our critical thinking skills as there is a case with given data and we analyze the case….” . Therefore, the case analysis format as an exam is potentially a valid means to assess the student’s critical thinking skills. Students also conveyed that the case analysis format helped them link theory to practice and provided them with the platform to think like real nurses and be professional. Examples of statements are: “…we connect our knowledge gained from theory with the clinical experience to get the answers…” and “The questions were about managing a case, which is what actual nurses are doing daily.” Another interesting cognitive benefit to case analysis described by the students was holistic thinking. For example, one student said, “Case analysis format helped us to see the case as a whole and not only from one perspective.”
The quantitative data indicated mutual agreement among the students that the case analysis enhanced their critical thinking, decision-making, and problem-solving skills. The students’ statements from the interviews, including critical thinking, linking theory to practice, and holistic thinking, further supported these presumptions.
This research presents the findings from a mixed methods study that explored undergraduate nursing students’ perceived efficacy of using case analysis as an assessment method. The perceived efficacy was reflected through acceptability and association with two core competencies: knowledge and cognitive skills. The study findings showed a high rate of perceived efficacy of case analysis as an assessment method among nursing students. Additionally, three findings were extracted from the qualitative data that further confirmed the perceived efficacy: (1) case analysis is a preferred assessment method to students compared to MCQs, (2) case analysis assesses students’ knowledge, and (3) case analysis assesses students’ cognitive skills. Moreover, the qualitative findings revealed details that expanded the understanding of the perceived efficacy among nursing students.
Previous literature reported students’ preference for case analysis as a teaching method. A randomized controlled study investigated student’s satisfaction levels with case-based teaching, in addition to comparing certain outcomes between a traditional teaching group and a case-based teaching group. They reported that most students favored the use of case-based teaching, whom at the same time had significantly better OSCE scores compared to the other group [ 34 ]. As noted, this favorable teaching method ultimately resulted in better learning outcomes and academic performance. Although it may be challenging since no answer options are provided, students appreciate the use of case analysis format in their exams because it aligns better with the course objectives and expected clinical competencies. The reason behind students’ preference for case analysis is that it allows them to interact with the teaching content and visualize the problem, leading to a better understanding. When case analysis is used as an assessment method, students can connect the case scenario presented in the exam to their clinical training, making it more relevant.
In this study, students recognized the incorporation of nursing knowledge in the case analysis exam. They also acknowledged improved knowledge and learning abilities similar to those observed in case-based teaching. Boney et al. (2015) reported that students perceived increased learning gains and a better ability to identify links between different concepts and other aspects of life through case-based teaching [ 35 ]. Additionally, case analysis as an exam promotes students’ in-depth acquirement of knowledge through the type of preparation it entails. Literature suggested that case-based teaching promotes self-directed learning with high autonomous learning ability [ 34 , 36 ]. Thus, better achievement in the case analysis exam could be linked with a higher level of knowledge, making it a suitable assessment method for knowledge integration in nursing care.
The findings of this study suggest that case analysis can be a useful tool for evaluating students’ cognitive skills, such as critical thinking, decision-making, and problem-solving. A randomized controlled study implied better problem-solving abilities among the students in the case-based learning group compared to those in the traditional teaching methods group [ 12 ]. Moreover, students in our study conveyed that case analysis as an exam was an opportunity for them to think like real nurses. Similar to our findings, a qualitative study on undergraduate nutrition students found that case-based learning helped students develop professional competencies for their future practice, in addition to higher-level cognitive skills [ 37 ]. Therefore, testing students through case analysis allows educators to assess the student’s readiness for entry-level professional competencies, including the thinking process. Also, to evaluate students’ high-level cognitive skills according to Bloom’s taxonomy (analysis, synthesis, and evaluation), which educators often find challenging.
Case analysis as an assessment method for clinical courses is partially integrated in case presentation or OSCE evaluation methods. However, the written format is considered to be more beneficial for both assessment and learning processes. A qualitative study was conducted to examine the impact of paper-based case learning versus video-based case learning on clinical decision-making skills among midwifery students. The study revealed that students paid more attention and were able to focus better on the details when the case was presented in a paper format [ 38 ]. Concurrently, the students in our study recommended more paper-based exercises, which they believed would improve their academic performance.
This study has possible limitations. The sample size was small due to the limited experience of case analysis as a clinical written exam in the program. Future studies with larger sample sizes and diverse nursing courses are needed for better generalizability.
Little evidence relates to the efficacy of case analysis as an evaluation method, suggesting the novelty of this study. Despite the scarcity of case-based assessment studies, a reader can speculate from this study’s findings that there is a potential efficacy of case analysis as an assessment method in nursing education. Future research is warranted to validate the effectiveness of case-analysis assessment methods and investigate the effects of case-analysis exams on academic and clinical performance.
Overall, our findings are in accordance with the evidence suggesting students’ perceived efficacy of case analysis as a teaching method. This study adds a potential for the case analysis to be acceptable and relevant to the clinical competencies when used as an assessment method. Future research is needed to validate the effectiveness of case analysis exams in other nursing clinical courses and examine their effects on academic and clinical performance.
The datasets used and/or analyzed during the current study are available fromthe Principal Investigator (BAY) upon reasonable request.
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The authors wish to thank the nursing students at SQU who voluntarily participated in this study.
This research did not receive any specific grant from funding agencies in the public, commercial, or not-for-profit sectors.
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Sultan Qaboos University, Al Khodh 66, Muscat, 123, Oman
Basma Mohammed Al Yazeedi, Lina Mohamed Wali Shakman, Sheeba Elizabeth John Sunderraj, Harshita Prabhakaran, Judie Arulappan, Erna Judith Roach, Aysha Al Hashmi & Zeinab Al Azri
Oman College of Health Science, Norht Sharqia Branch, Ibra 66, Ibra, 124, Oman
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Dr. Basma Mohammed Al Yazeedi contributed to conceptualization, methods, data collection, data analysis, writing the draft, and reviewing the final draft. Ms. Lina Mohamed Wali Shakman contributed to conceptualization, data collection, data analysis, writing the draft, and reviewing the final draft. Ms. Sheeba Elizabeth John Sunderraj contributed to conceptualization, methods, data collection, writing the draft, and reviewing the final draft.Ms. Harshita Prabhakaran contributed to conceptualization, data collection, writing the draft, and reviewing the final draft.Dr. Judie Arulappan contributed to conceptualization and reviewing the final draft.Dr. Erna Roach contributed to conceptualization writing the draft and reviewing the final draft.Ms. Aysha Al Hashmi contributed to the conceptualization and reviewing the final draft. Dr. Zeinab Al Azri contributed to data collection, data analysis, writing the draft, and reviewing the final draft.All auhors reviewed and approved the final version of the manuscirpt.
Correspondence to Zeinab Al Azri .
Ethics approval and consent to participate.
The study was conducted in accordance with the Declaration of Helsinki. Ethical approval was obtained from the Research and Ethics Committee of the College of Nursing, Sultan Qaboos University SQU (CON/NF/2023/18). All data was held and stored following the SQU data policy retention. Informed consent to participate was obtained from all of the participants in the study.
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Yazeedi, B.M.A., Shakman, L.M.W., Sunderraj, S.E.J. et al. Perceived efficacy of case analysis as an assessment method for clinical competencies in nursing education: a mixed methods study. BMC Nurs 23 , 441 (2024). https://doi.org/10.1186/s12912-024-02102-9
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