Research Appraisals
Evidence-based critical appraisals of the latest medical research, systematically evaluated using Oxford CEBM methodology.
Showing 6 appraisals
JMIR formative research
Teaching Health Informatics in a Skills-First Era: A Curriculum Mapping Approach Aligned With Workforce Demand
Academic programs in health informatics have been urged to align curricula with evolving workforce needs to better prepare graduates for practice. Such alignment supports workforce readiness, addresses talent shortages, and reduces onboarding burdens for employers. Although employers increasingly seek graduates who can demonstrate applied skills and competencies beyond textbook knowledge, academic programs continue to face challenges in translating workforce demand into curricular design. This Viewpoint is directed at health informatics program faculty and administrators and presents the author's perspective on a skills-first curriculum mapping approach aligned with current industry needs. The author argues that connecting program-level outcomes, course objectives, and learning activities to industry-recognized competencies strengthens workforce readiness while maintaining academic rigor. Drawing on the literature on competency-based education, workforce development, and health informatics training, this paper argues for intentional curriculum design that integrates transferable skills, stackable credentials, and stakeholder engagement. The key messages are as follows: (1) workforce demand should anchor curriculum design in health informatics programs, (2) curriculum mapping is a practical mechanism for operationalizing skills-first alignment, and (3) credential integration and continuous congruency evaluation support long-term program sustainability. This approach positions health informatics education to remain responsive, scalable, and aligned with the rapidly evolving professional landscape.
31 July 2026
Read appraisal →International journal of nursing education scholarship
Effect of concept mapping on critical thinking skills in nursing students: a systematic review with meta-analysis
BACKGROUND: Critical thinking (CT) among nursing students is crucial for delivering high-quality nursing care to patients. Concept mapping (CM) is one of the evidence-based pedagogies that helps to improve CT in individuals. OBJECTIVES: The objective of this review and meta-analysis was to evaluate the impact of concept mapping on CT abilities, academic achievement, and clinical skills in nursing students. METHODS: This systematic review and meta-analysis aimed to identify published articles on the effect of CM on CT in nursing students, written in English and published from 2011 to 2024. The articles were sourced from SCOPUS, Web of Science (WoS), ScienceDirect, Google Scholar, and PubMed databases. To ensure a comprehensive and relevant search, the following MeSH terms were used: "Effectiveness" OR "Impact," AND "Concept Mapping," AND "CT," AND "Nursing Student," AND "RCT" OR "Randomized Controlled Trials" OR "Quasi-Experimental." This study used the Cochrane Collaboration's Risk of Bias (RoB) tool and Standardized Mean Difference (SMD) for outcome measurement, with results analyzed using RevMan Web. RESULTS: This study analyzed 14 RCTs and quasi-experimental studies involving 1,747 participants (E=870, C=877). The meta-analysis found that concept mapping enhanced nursing students' CT skills (MD=4.86, 95 % CI [2.16 to 7.56], p=0.0004), academic achievements (MD=3.38, 95 % CI [0.76 to 5.99], p=0.01), and performance in clinical practice (MD=5.94, 95 % CI [3.22 to 8.65], p<0.0001) when compared to routine instructional methods. CONCLUSIONS: CM provides valuable insights into enhancing CT and clinical skills in nursing students, eventually preparing them to become excellent nursing professionals in the healthcare system.
26 July 2026
Read appraisal →Medical education online
Exploring medical Artificial Intelligence Readiness among Korean medical students: a cross-sectional study
INTRODUCTION: Artificial intelligence (AI) is rapidly transforming healthcare systems and clinical practice, increasing the need to prepare future physicians to work effectively with AI technologies in clinical contexts. Despite growing interest in integrating AI into medical education, empirical evidence regarding medical students' readiness to use AI remains limited. This study aimed to assess medical AI readiness among Korean medical students and explore factors associated with their readiness. METHODS: A cross-sectional survey was conducted among medical students enrolled in a six-year medical program at a university in Korea. A total of 204 students participated in the study. Medical AI readiness was measured using the Medical Artificial Intelligence Readiness Scale for Medical Students (MAIRS-MS), which assesses four domains: cognition, ability, vision, and ethics. Descriptive statistics, independent t-tests, and Pearson's correlation analyses were performed using SPSS version 27. RESULTS: The overall mean score of medical AI readiness was 4.19 on a 7-point Likert scale, indicating a moderate level of medical AI readiness. Among the subscales, ethics showed the highest mean score (4.69), followed by vision (4.44), ability (4.18), and cognition (3.92). The frequency of AI use was significantly associated with medical AI readiness, whereas the daily duration of AI use was not. No significant gender differences were observed. When students were divided into the low (pre-medical years 1-2) and high (medical years 1-4) groups, the high group showed significantly higher scores only in the ability subscale. CONCLUSIONS: The findings suggest that medical students are not yet sufficiently prepared to utilize AI technologies in clinical practice, particularly in terms of knowledge and practical competencies related to AI. These results highlight the need for structured and longitudinal AI education in medical curricula to better prepare future physicians for AI-integrated healthcare environments.
1 July 2026
Read appraisal →International journal of nursing education scholarship
Leadership education for nurse practitioners: a systematic review of interventions, pedagogies and gaps
Nurse practitioners (NPs) often lead interprofessional healthcare teams, yet many receive little or no formal leadership training. As healthcare systems grow in complexity and demand greater accountability, the need for strong and effective NP leadership has intensified. However, leadership development within NP education remains poorly defined and often lacks theoretical grounding. This systematic review explores interventions designed to build NP leadership skills. Following PRISMA and BEME Guide No. 13 guidelines, a search (July 2022, updated April 2024) identified peer-reviewed English-language articles from 1980 onward. Studies involving NPs at any training or practice stage were included if they described a leadership intervention. Of 3,058 articles, eight met inclusion criteria. Most studies originated in the U.S., featured isolated leadership interventions, and lacked NP clinical faculty involvement. Experiential learning and mentorship were common. Leadership domains emphasized cognitive and emotional intelligence, with little focus on leader character development. Evaluation of leadership interventions were limited. Overall, few theoretically informed, robust NP leadership interventions exist. Future efforts should prioritize comprehensive, longitudinal, and theory-based approaches to strengthen leadership capacity within NP education and practice.
24 June 2026
Read appraisal →JMIR nursing
Digital Leadership Scale for Clinical Nurses: Development and Validation of an Instrument
BACKGROUND: The rapid advancement of digital technologies, combined with the evolving complexity of health care environments, has introduced a new paradigm in nursing practice. Clinical nurses are now required not only to deliver safe and effective patient care but also to demonstrate competencies in digital literacy and innovation. Among these emerging competencies, digital leadership has become a critical attribute-enabling nurses to lead digital transformation, ensure patient safety, enhance care quality, and support system-level change within health care organizations. Despite its increasing relevance, there is a notable absence of validated measurement tools tailored to assess digital leadership in clinical practice. OBJECTIVE: This study aimed to develop and psychometrically validate a Digital Leadership Scale for Clinical Nurses (DLS-CN) to systematically evaluate the digital leadership capabilities of nurses working in clinical settings. METHODS: The scale development process followed a rigorous multistep procedure. Initial items were derived from previous qualitative research involving a literature review and in-depth interviews, complemented by an additional literature review conducted in this study. The content validity of 38 preliminary items was evaluated by 9 experts over 2 rounds. A pilot test was conducted with 30 nurses, followed by cognitive interviews with 5 nurses to refine item clarity and relevance. The final set of items was administered to 446 clinical nurses across various health care institutions. Data were randomly split for exploratory factor analysis and confirmatory factor analysis. Additional analyses were conducted to evaluate item discrimination, convergent validity, and internal consistency using IBM SPSS 25.0 and AMOS 23.0. RESULTS: The finalized DLS-CN consists of 29 items grouped under four domains: (1) ability to use digital technology, (2) digital safety management, (3) digital collaboration mindset, and (4) organizational influence. These 4 factors explained 56.9% of the total variance. The scale showed strong internal consistency (Cronbach α=0.95). Convergent validity was demonstrated through strong positive correlations with the Nursing Informatics Competency Scale (Pearson correlation coefficient r=0.82; P<.001) and the Self-Leadership Scale (Pearson correlation coefficient r=0.83; P<.001). CONCLUSIONS: The DLS-CN is a valid and reliable instrument for measuring digital leadership among clinical nurses. It offers a practical tool for educators, administrators, and researchers to assess and enhance digital leadership capabilities-ultimately supporting the digital transformation of health care systems.
24 June 2026
Read appraisal →Medicine
Effects of a psychological capital intervention on emergency nurses' work engagement and turnover intention: A randomized controlled trial
BACKGROUND: Emergency nurses are exposed to high occupational stress, which leads to decreased psychological capital, reduced work engagement, and high turnover intention. Evidence on targeted psychological capital intervention (PCI) for this population remains limited. METHODS: A parallel randomized controlled trial was conducted. A total of 122 emergency nurses from a tertiary hospital in Zhejiang Province were randomly assigned to the intervention group (6-week PCI, n = 61) or the control group (routine training, n = 61). Outcomes were measured at baseline (T0), post-intervention (T1), 1 month (T2), and 3 months (T3) using the Psychological Capital Questionnaire, Utrecht Work Engagement Scale, and Turnover Intention Scale. RESULTS: Baseline characteristics and outcome scores were comparable between groups (all P > .05). At T1 to T3, the intervention group had significantly higher Psychological Capital Questionnaire and Utrecht Work Engagement Scale scores and lower Turnover Intention Scale scores than the control group (all P < .001). Psychological capital was positively correlated with work engagement (R = 0.604, P < .001) and negatively correlated with turnover intention (r = -0.624, P < .001). CONCLUSION: This 6-week PCI program significantly improves psychological capital and work engagement, and reduces turnover intention among emergency nurses, with effects sustained for at least 3 months. These findings support the utility of PCI as a psychological management strategy for emergency nursing staff.
25 May 2026
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