The clinical internship is a pivotal and stressful rite of passage for nursing students. It marks the transition from classroom theory to the realities of patient care: long shifts, exposure to suffering and death, demanding supervisors, and the constant fear of making mistakes with real lives at stake. Chinese nursing interns face additional pressures, including intense competition in the healthcare job market and the high-stakes structure of clinical placements that can shape career prospects. Previous studies have repeatedly flagged psychological distress among this group, but no quantitative synthesis of positive-screening prevalence during the internship itself had been attempted until now.

To fill that gap, the research team searched nine databases, four Chinese and five English, from their inception to 28 June 2026, hunting for cross-sectional studies that reported positive-screening rates of anxiety or depressive symptoms among nursing interns in mainland China at validated cut-offs. The search covered major Chinese repositories such as CNKI, SinoMed, and the VIP database alongside international sources including PubMed, CINAHL, and others. Study quality was appraised with the Agency for Healthcare Research and Quality checklist, and the review was prospectively registered on PROSPERO in June 2026, a step that strengthens transparency in how the analysis was planned before the data were seen.

The statistical machinery behind the synthesis is worth understanding, because it shapes how the results should be read. The team pooled prevalence estimates using the Freeman–Tukey double-arcsine transformation, a technique that stabilizes the variance of proportions, particularly when rates are close to zero or one, before combining them in random-effects models fitted with restricted maximum likelihood. Crucially, the researchers went beyond the familiar confidence interval and reported 95 percent prediction intervals, which describe the plausible range of true screening rates in a new cohort drawn from the same distribution of settings. When heterogeneity is extreme, as it was here, the prediction interval is often the more honest summary of what the evidence actually shows.

That heterogeneity was, in a word, enormous. Thirty-three studies reported anxiety screening at a standard cut-off, covering 10,157 interns, and pooled to 28.4 percent with a 95 percent confidence interval of 22.8 to 34.4 percent. But the I-squared statistic, which quantifies the proportion of variation attributable to real differences between studies rather than chance, stood at 97.6 percent. The 95 percent prediction interval stretched from roughly 4 percent to 64 percent, meaning that in any single cohort of interns the true positive-screening rate could plausibly sit anywhere from a small fraction of the group to nearly two thirds of it. The pooled figure is a centre of gravity, not a national prevalence.

Depressive symptoms told a similar story with even thinner evidence. Only six studies reported depression screening at a standard cut-off, covering 2,674 interns, pooling to 37.7 percent with a confidence interval of 27.3 to 48.8 percent and a prediction interval of roughly 13 to 66 percent. A technical wrinkle compounded the problem: most studies using the Self-Rating Depression Scale scored positive from 50 rather than the standard threshold of 53, a choice that inflates positive-screening rates. When the team pooled all 22 reported depression rates regardless of threshold, the summary was 34.4 percent. The authors are explicit that the depression estimate rests on few studies that used a standard threshold, and that the summaries describe a specific cohort rather than a national figure.

Robustness checks gave the anxiety estimate firmer footing. The team re-ran the pooling with logit and generalized linear mixed models, performed leave-one-out analyses to test whether any single study was driving the result, restricted analyses to higher-quality studies, and examined funnel-plot asymmetry with Begg’s and Egger’s tests, which probe whether smaller studies with larger effects are systematically missing, a signature of publication bias. The anxiety summary survived all of these probes, with no detectable funnel-plot asymmetry. Exploratory subgroup analyses, including one testing whether screening rates differed by internship stage, found no significant differences; the internship-stage comparison yielded a p-value of 0.468. At this level of variation, the authors note, the prediction intervals carry more information than the point summaries themselves.

One part of the review came up empty, and that emptiness is itself informative. The team had hoped to synthesize the factors associated with anxiety and depressive symptoms, such as demographic characteristics, internship conditions, or coping resources, but the associated factors were too inconsistently defined across studies to pool quantitatively. Different studies measured different exposures with different instruments and reported different multivariable models, making any combined odds ratio unreliable. The authors published the underlying multivariable models in supplementary tables, but the headline conclusion is that the field lacks standardized measurement of what puts interns at risk, a gap that prospective research must close.

The authors are careful to draw a bright line between screening and diagnosis. The figures describe positive screens on validated instruments such as the Generalized Anxiety Disorder 7-item scale, the Self-Rating Anxiety Scale, the Patient Health Questionnaire-9, and the Self-Rating Depression Scale at stated cut-offs. A positive screen is not a clinical diagnosis of an anxiety disorder or major depression; it flags symptoms that warrant further assessment. Even so, the sheer scale of the numbers, with screening rates centred near 28 percent for anxiety and between one third and two fifths for depressive symptoms, and plausibly running from a few percent to about two thirds in any given cohort, suggests that psychological distress during clinical placement is not a marginal problem but a structural feature of the internship experience.

What should be done with these numbers? The authors argue that the summaries serve as a benchmark for a specific cohort, not a national figure, and that the priority now is prospective measurement with standard instruments and explicitly stated thresholds. That means following interns over time with consistent tools, rather than relying on one-off cross-sectional snapshots with shifting cut-offs. For nursing schools and teaching hospitals, the practical message is that mental health support during clinical placement, from accessible counselling to workload adjustments and supervisor training, deserves systematic attention. For the research community, the message is sharper still: without standardized measurement, the true burden of distress among the nurses of tomorrow will remain hidden inside a wide, setting-dependent distribution that no single pooled percentage can capture.

Subject of Research: Mental health screening prevalence among nursing interns during clinical practice in China

Article Title: Prevalence of anxiety and depressive symptoms and associated factors among nursing interns during clinical practice in China: a systematic review and meta-analysis

Article References: Chen, X., Zhang, Y., Zhu, X., & Zhang, F. (2026). Prevalence of anxiety and depressive symptoms and associated factors among nursing interns during clinical practice in China: a systematic review and meta-analysis. BMC Psychiatry. https://doi.org/10.1186/s12888-026-08777-5

Image Credits: AI Generated

DOI: 10.1186/s12888-026-08777-5

Keywords: nursing interns, anxiety symptoms, depressive symptoms, meta-analysis, systematic review, China, clinical practice, mental health, screening prevalence, nursing students, prediction interval, BMC Psychiatry

Researchers led by Yanfang Zhang of Bengbu Medical University surveyed 712 final-year nursing interns from three nursing schools in Anhui Province between November 2025 and June 2026. All participants had completed at least eight months of clinical practicum and were approaching graduation in 2026. The team published its findings in Frontiers in Medicine, using a statistical technique called Latent Profile Analysis to sort interns into distinct readiness groups rather than treating work readiness as a single continuous score.

Work readiness is a multidimensional construct. It encompasses professional knowledge, clinical skills, attitudes, psychosocial characteristics, and workplace adaptability — everything a person needs to enter and adapt to the workforce. For nursing interns, it is the bridge between academic learning and professional practice, a stage marked by role transformation and employment challenges. Traditional academic achievement alone, the researchers note, may not fully capture a student’s ability to adapt to complex clinical environments.

The results were striking. Three latent profiles emerged from the data: a low work readiness group of 415 interns (58.3 percent of the sample), a moderate group of 227 (31.9 percent), and a high group of just 70 (9.8 percent). In other words, nearly six in ten nursing interns about to graduate showed consistently low scores across all five dimensions of the Nursing Practice Readiness Scale, which measures clinical judgment and nursing performance, professional attitude, patient-centeredness, self-regulation, and collaborative interpersonal relationships.

The statistical machinery behind the classification was rigorous. The team entered the five dimension scores of the readiness scale as continuous indicators into models with one to five profiles, estimated using Mplus version 8.3. Fit was evaluated with the Akaike Information Criterion, the Bayesian Information Criterion, entropy, and likelihood ratio tests. Although a five-profile model had the lowest information criteria values, the Lo–Mendell–Rubin test was not statistically significant, and a four-profile solution contained a subgroup of only 6.5 percent of the sample, raising concerns about stability. The three-profile model, with favorable entropy of 0.864 and a more balanced distribution, was retained as the most appropriate solution.

What separated the groups? Guided by Social Cognitive Career Theory, which frames career development as an interaction between personal factors and contextual resources, the researchers examined the clinical learning environment and generative AI literacy alongside academic performance, clinical learning outcomes, and sense of professional belonging. The overall multinomial logistic regression model was highly significant (χ² = 467.253, P < 0.001), and all five factors were significantly associated with profile membership.

Generative AI literacy proved to be a particularly powerful predictor. Interns with higher scores on the Generative Artificial Intelligence Literacy Scale — which covers awareness of GenAI, knowledge construction, competency development, mindset, and ethical cognition — had significantly greater odds of belonging to the moderate profile rather than the low one (OR = 1.161 per unit, 95% CI: 1.128–1.195), and even stronger odds for the high profile (OR = 1.321, 95% CI: 1.259–1.387). The mean GenAI literacy score climbed steadily across profiles, from 124.88 in the low group to 153.16 in the high group. The researchers suggest that interns with greater GenAI literacy may be better able to access clinical information, organize learning resources, and use digital tools, which may strengthen digital self-efficacy and positive outcome expectations.

The clinical learning environment also mattered. Each one-unit increase in Clinical Learning Environment Questionnaire scores — covering clinical case exposure, patient care organization, preceptor supervision, and learning motivation — raised the odds of moderate (OR = 1.035) or high (OR = 1.043) profile membership. Better clinical learning outcomes and a stronger sense of professional belonging were likewise associated with higher readiness profiles, with the belonging effect especially pronounced in the high-profile comparison (fair belonging: OR = 56.106, though with wide confidence intervals reflecting the small subgroup). Academic performance showed a differentiated pattern: below-average and average records were significant negative predictors of higher readiness classification, but the researchers caution that work readiness encompasses non-cognitive competencies such as communication, teamwork, and situational decision-making that grades alone cannot capture.

The study has limitations the authors acknowledge. Participants were recruited by convenience sampling from only three institutions in Anhui Province, data were self-reported, and the cross-sectional design cannot establish causality. The Nursing Practice Readiness Scale was originally developed for newly employed nurses, and classification uncertainty in latent profile analysis may have affected some estimates, particularly where subgroups were small.

Still, the findings carry practical weight. Nearly 60 percent of soon-to-graduate nursing interns fell into the low readiness profile, suggesting that standardized training approaches may not address the diverse developmental needs revealed by the analysis. The researchers propose individualized educational support strategies: strengthening foundational clinical training and simulation for the low-readiness majority, offering case-based learning and supervised clinical decision-making for the moderate group, and providing peer mentoring opportunities for the high-readiness minority. Incorporating GenAI-related activities into curricula, they suggest, may support students’ digital learning competencies at a time when intelligent healthcare is reshaping the profession. Future longitudinal and intervention studies, the team concludes, are needed to clarify temporal relationships and evaluate which strategies actually work.

Subject of Research: A cross-sectional study of 712 Chinese nursing interns used latent profile analysis to identify low, moderate, and high work readiness groups and found that generative AI literacy, the clinical learning environment, academic performance, clinical learning outcomes, and professional belonging were associated with profile membership.

Article Title: Latent profiles of work readiness and their associated factors among nursing interns: a cross-sectional study

Article References: Zhang, Y., Xie, X., Wu, M., Lv, Q., Zhao, L., & Yang, X. (2026). Latent profiles of work readiness and their associated factors among nursing interns: a cross-sectional study. Frontiers in Medicine, 13, Article 1937251. https://doi.org/10.3389/fmed.2026.1937251

Image Credits: AI Generated

DOI: 10.3389/fmed.2026.1937251

Keywords: nursing interns, work readiness, latent profile analysis, generative AI literacy, clinical learning environment, Social Cognitive Career Theory, nursing education, cross-sectional study, professional belonging, academic performance, Latent, profiles

Rumination, in the psychological sense, refers to a pattern of thought in which individuals repeatedly and passively focus on their distress, its causes, and its consequences, without moving toward active problem-solving. It is well established as a risk factor for depression and anxiety in the general population, but its role in clinical training environments has received far less attention. The transition from classroom to hospital ward is a period of intense identity formation for nursing students. If rumination erodes the psychological resources needed during this transition, the effects could ripple outward—first to the intern’s own wellbeing, then to the quality of care they deliver, and ultimately to whether they remain in the profession at all.

To investigate these questions, a team led by Xinyu Gao of Chengdu University of Traditional Chinese Medicine recruited 591 nursing interns from nine hospitals across Sichuan province using convenience sampling. Participants completed questionnaires covering demographic characteristics, rumination, caring ability, and professional identity. The researchers then applied a battery of statistical techniques that go well beyond simple correlation: latent profile analysis to identify subgroups of interns with distinct rumination patterns, mediation analysis to test whether caring ability acts as a pathway linking rumination to professional identity, and generalized additive models to detect nonlinear relationships that conventional linear regression would miss.

The latent profile analysis produced a strikingly heterogeneous picture. Rather than treating rumination as a single continuous scale, the method allowed the researchers to classify interns into distinct profiles based on their response patterns. Three such profiles emerged. The largest group, comprising 50.08 percent of the sample, showed low levels of rumination. A substantial second group, 42.98 percent, fell into a moderate-rumination profile, while a smaller but notable 6.94 percent of interns belonged to a high-rumination group. This distribution suggests that while most nursing interns manage stressful clinical experiences without becoming trapped in repetitive negative thought, nearly half carry at least a moderate rumination burden—and roughly one in fourteen carries a heavy one.

The analysis of demographic and personal predictors of profile membership yielded two especially interesting findings. Interns who reported liking the nursing major were significantly more likely to belong to the low-rumination group, with an odds ratio of 0.336, and those with extraverted personalities were similarly protected, with an odds ratio of 0.439. In practical terms, an affinity for the profession and an outgoing temperament each appeared to buffer against the tendency to dwell on negative clinical experiences. These results align with broader psychological literature suggesting that intrinsic motivation and positive social orientation both serve as protective factors against maladaptive thought patterns, but they also point to concrete screening opportunities: educators could identify at-risk interns early by attending to their attitudes toward the major and their personality traits.

The heart of the study, however, lies in its mediation analysis. The researchers hypothesized that rumination does not directly undermine professional identity alone; instead, it first damages caring ability—the cognitive, emotional, and practical capacity to attend to patients’ needs—and this erosion of caring capacity then weakens the intern’s sense of professional identity. The data supported this pathway strongly. Caring ability significantly mediated 46.0 percent of the relationship between rumination and professional identity, with an indirect effect of -0.167 and a 95 percent confidence interval of [-0.231, -0.114], which excludes zero and therefore indicates a statistically reliable effect. In other words, nearly half of rumination’s corrosive influence on how interns see themselves as future nurses travels through its damage to their capacity for care.

Perhaps the most technically novel contribution comes from the generalized additive models, which revealed that the relationships in question are not linear. The negative effect of rumination on caring ability intensified sharply once rumination scores exceeded a threshold of 35, with a slope coefficient of -0.611 and a p-value below 0.001. Below that threshold, additional rumination appeared comparatively less damaging; above it, each incremental increase in rumination exacted a progressively steeper toll on caring capacity. This kind of nonlinear dose-response pattern is exactly what generalized additive models are designed to detect, using flexible smoothing functions rather than assuming a straight-line relationship. The finding implies a tipping point: once an intern’s rumination crosses a certain intensity, the psychological cost of care work accelerates.

A second nonlinear relationship operated on the positive side of the equation. The beneficial effect of caring ability on professional identity diminished once caring ability scores rose above 160, with a coefficient of 0.337 and p < 0.001. This suggests a ceiling effect of sorts: building caring ability from a low base yields substantial gains in professional identity, but beyond a certain level of competence, further improvements contribute less to how interns feel about their profession. For curriculum designers, this has a practical implication—investments in caring-skill training will produce the greatest returns for interns whose caring ability is currently weak, particularly those in the moderate and high rumination profiles whose caring capacity the study shows to be most compromised.

Taken together, the findings sketch a coherent causal architecture. Rumination, especially at moderate to high levels, depletes the psychological resources that underpin compassionate care; diminished caring ability then feeds back into a weaker professional identity, potentially threatening the intern’s commitment to nursing altogether. The authors conclude that nursing education should emphasize psychological support for interns with moderate-to-high rumination while simultaneously enhancing their caring ability as a lever for fostering professional identity. Because caring ability carried nearly half of the total effect, interventions targeting it—such as mentorship, reflective practice training, and structured clinical supervision—may be especially efficient points of intervention, potentially interrupting the downward spiral before it reaches the intern’s sense of professional self.

The study’s limitations are worth noting. Convenience sampling from nine hospitals in a single Chinese province may limit generalizability to other regions or healthcare systems, and the cross-sectional design cannot definitively establish causal direction, even though the mediation model is theoretically grounded. Self-reported questionnaires are also vulnerable to bias. Nevertheless, the combination of person-centered profiling, formal mediation testing, and nonlinear modeling represents a methodologically sophisticated approach that other researchers could apply to allied health professions facing similar transition stress. As healthcare systems worldwide grapple with nursing shortages and burnout, understanding how a treatable cognitive habit like rumination shapes the earliest stage of a nursing career may prove to be more than an academic exercise—it could inform the retention strategies on which patient care ultimately depends.

Subject of Research: Rumination profiles, caring ability, and professional identity among nursing interns

Article Title: The association between latent profiles of rumination in nursing interns and their caring ability and professional identity: a mediation analysis and generalized additive model approach

Article References: Gao, X., Xie, J., Zhang, Y., Yin, H., Xiong, L., Zhang, Y., & Yang, Q. (2026). The association between latent profiles of rumination in nursing interns and their caring ability and professional identity: a mediation analysis and generalized additive model approach. BMC Nursing. https://doi.org/10.1186/s12912-026-05414-0

Image Credits: AI Generated

DOI: 10.1186/s12912-026-05414-0

Keywords: nursing interns, rumination, caring ability, professional identity, latent profile analysis, mediation analysis, generalized additive models, nursing education, psychological stress, clinical training, BMC Nursing, China

Compassion fatigue is a well-documented occupational hazard in caregiving professions. It is generally understood to comprise two intertwined components: burnout, the slow accumulation of emotional exhaustion, depersonalization, and reduced accomplishment that comes from chronic workplace stress; and secondary traumatic stress, the acute emotional distress that arises from witnessing or absorbing the suffering of others. Nursing interns are particularly exposed to both. They work long shifts in close contact with patients in pain, they are held to rigorous professional standards before they have fully mastered the skills those standards demand, and they occupy the lowest rung of the clinical hierarchy, which often means absorbing pressure from every direction. Previous research has established that compassion fatigue can hinder the development of professional identity, the internalized sense of oneself as a nurse that sustains motivation, resilience, and career intention. What has been missing is a detailed picture of which specific facets of fatigue connect to which specific facets of identity, and where an intervention would do the most good.

Network analysis provides exactly that picture by changing the unit of analysis. In a traditional study, researchers might measure compassion fatigue with a total score and professional identity with another, then report a single correlation coefficient between them. That approach collapses dozens of distinct psychological experiences into two numbers and tells clinicians little about mechanism. Network analysis, by contrast, treats each questionnaire item as a node in a graph, and the statistical associations between items as edges connecting those nodes. The resulting network can be examined with tools from graph theory: centrality indices identify which nodes are most strongly connected to the rest of the structure, while bridge indices identify nodes that link otherwise separate communities, in this case the cluster of fatigue symptoms and the cluster of identity beliefs. The logic follows the network perspective on psychopathology, which holds that mental states are not merely reflections of an underlying latent disease but are themselves causal systems in which one symptom can activate another.

To build the network, the team surveyed 271 vocational undergraduate nursing interns using three instruments: a general information questionnaire capturing demographic and training variables, the Chinese version of the Compassion Fatigue-Short Scale, and the Professional Identity Questionnaire for Nurse Students. The compassion fatigue scale yields items spanning burnout and secondary traumatic stress, including experiences such as feeling overwhelmed by the amount of work, feeling trapped by the job, and, critically, work-related disappointment. The professional identity questionnaire probes dimensions such as the sense of being a nurse, satisfaction with the profession, perceived social support for the career choice, and the extent to which students feel their personal competencies are used and valued in clinical settings. All analyses were conducted in R 4.2.3, and the researchers computed correlation stability coefficients to verify that the network’s key indices would remain reliable even if a substantial fraction of the sample were dropped, a standard robustness check in modern network psychometrics.

The headline finding concerns centrality. Within the compassion fatigue cluster and across the entire combined network, the item measuring work-related disappointment carried the highest weighted centrality score, meaning it was the most strongly and most pervasively connected node in the whole system. In practical terms, disappointment with the work itself appears to function as a hub: it co-activates with other exhaustion symptoms and radiates influence outward through the network. Within the professional identity cluster, the item measuring professional happiness ranked highest, indicating that positive emotional appraisals of the nursing career form the connective core of a healthy identity. The contrast is striking and, the authors suggest, clinically meaningful. The network’s most influential negative node is an emotion about work, while the most influential positive node is an emotion about the profession, and the two appear to pull in opposite directions.

Perhaps the most actionable result concerns the bridge analysis. The node representing competence utilization, the extent to which interns feel their abilities are actually deployed and recognized in clinical practice, emerged as the main bridge connecting the compassion fatigue community to the professional identity community. Bridge nodes are the choke points of a psychological network: they are where influence from one domain crosses into another, and they are therefore the most efficient targets for intervention. If competence utilization is the conduit through which fatigue drains identity, then strengthening a student’s sense of being a capable, contributing clinician may buffer the transmission. Conversely, an intern who feels useless, sidelined, or under-challenged while simultaneously exhausted is positioned precisely at the junction where the two destructive processes meet.

The overall topology of the network reinforced the study’s central hypothesis. Negative associations, in which higher scores on one node predict lower scores on another, occurred predominantly between compassion fatigue nodes and professional identity nodes, while associations within each cluster were predominantly positive. This pattern is exactly what one would expect if fatigue and identity are opposing forces in the psychology of a trainee nurse: symptoms of burnout and secondary traumatic stress cluster together and reinforce one another, beliefs and feelings about the profession do the same, and the two communities are linked chiefly by antagonistic edges. The authors frame their interpretation through Conservation of Resources theory, a influential model in occupational psychology which holds that people strive to acquire and protect valued resources, and that stress arises when those resources are threatened, lost, or invested without return. On this reading, compassion fatigue represents a spiraling loss of personal and emotional resources, and professional identity is one of the casualties, because a depleted intern has fewer resources to invest in constructing and maintaining a positive sense of self as a nurse.

The practical implications reach well beyond the classroom. Nursing programs and the hospitals that host interns could, on the strength of these findings, prioritize interventions that target emotional exhaustion directly, for example through workload monitoring, structured debriefing after distressing patient events, and peer support programs that normalize the emotional toll of caregiving. Simultaneously, the bridge finding argues for enriching the internship experience itself: preceptors and ward managers who deliberately assign interns meaningful tasks, give feedback that highlights growing competence, and connect daily work to the larger purpose of nursing may be doing more than teaching skills. They may be severing the pathway by which disappointment and exhaustion convert into doubt about the profession. Because diminished professional identity is known to predict weakened intention to remain in nursing, protecting it during the internship period could have downstream consequences for workforce retention in a profession facing chronic shortages.

As with any cross-sectional study, the design imposes limits on interpretation. The network captures associations at a single point in time among a single cohort of vocational undergraduate interns in China, so the direction of causality between fatigue and identity cannot be established, and the specific node structure may differ in other training systems, degree types, or cultures. Longitudinal network studies, which re-measure the same students repeatedly, would be needed to confirm whether work-related disappointment truly drives later erosion of professional happiness, or whether the causal arrows run the other way. Still, the methodological contribution is clear. By dissolving two broad constructs into a web of specific, measurable experiences, the study converts an abstract warning, that compassion fatigue harms professional identity, into a concrete map with named targets. For the educators and clinicians responsible for the next generation of nurses, the message is unusually precise: watch for disappointment, protect the sense of competence, and the identity may hold.

Subject of Research: Compassion fatigue and professional identity among vocational undergraduate nursing interns analyzed using cross-sectional network analysis

Article Title: The relationship between compassion fatigue and professional identity among vocational undergraduate nursing interns: a cross-sectional network analysis

Article References: Zhao, B.-Y., Yang, H.-L., Su, M.-M., & Yin, X.-S. (2026). The relationship between compassion fatigue and professional identity among vocational undergraduate nursing interns: a cross-sectional network analysis. BMC Nursing. https://doi.org/10.1186/s12912-026-05454-6

Image Credits: AI Generated

DOI: 10.1186/s12912-026-05454-6

Keywords: compassion fatigue, professional identity, nursing interns, network analysis, burnout, secondary traumatic stress, vocational education, emotional exhaustion, competence utilization, Conservation of Resources theory, nursing workforce, cross-sectional study

The research, led by Ping Gao and Xiaomei Chen of Chengdu Wenjiang District People’s Hospital along with colleagues at several Chinese institutions, addressed a well-known gap in clinical training. Nursing interns, who have just transitioned from classroom to bedside, are among the most vulnerable members of the hospital workforce. They perform injections, venipunctures, and sharps disposal under time pressure and supervision that is often inconsistent. Traditional safety training, typically delivered as lectures or static pamphlets, tends to fade quickly once the demands of real clinical work take over. Although animation-based education has proven effective in other areas of clinical teaching, its potential for preventing needlestick injuries had been largely unexplored until now.

The intervention at the heart of the study was what the researchers call caricature storyline-based audiovisual education. Rather than presenting isolated facts about sharps safety, the educational materials wove preventive principles into a narrative told through exaggerated, cartoon-like animated images, which the authors note were generated with the assistance of the AI tool Doubao. The storyline format is more than an aesthetic choice. Educational psychology suggests that narrative structure helps learners encode and retrieve procedural information, because characters, conflicts, and resolutions give abstract rules a concrete emotional and situational anchor. For a novice nurse, watching a caricatured character fumble a recapping maneuver and face the consequences may be more memorable than memorizing a checklist.

To test whether the approach actually worked, the team used a sequential mixed-methods design, combining rigorous quantitative measurement with in-depth qualitative exploration. They recruited 260 nursing interns enrolled in junior college or undergraduate nursing programs, all of whom had completed one to two months of clinical practice before entering the study. This timing was deliberate: the participants had enough ward experience to understand the risks firsthand, but were still early enough in their training for education to shape lasting habits. Every participant received the caricature-based audiovisual education, and the researchers measured outcomes at three points: before the intervention, immediately afterward, and again three months later.

The quantitative results were striking. Using validated scales, the team assessed four dimensions: knowledge about needlestick injuries, attitudes toward prevention, actual safety behaviors, and preventive motivation. Repeated-measures analysis of variance revealed significant main effects of time across all four outcomes, with p values below 0.001 and partial eta-squared values ranging from 0.968 to 0.992, effect sizes so large they are rarely seen in behavioral research. Corrected post-hoc comparisons confirmed that every score rose significantly from baseline to both the post-test and the three-month follow-up. In practical terms, the interns did not merely perform better on a quiz immediately after watching the videos; they internalized the material in a way that persisted.

The follow-up data revealed an especially interesting pattern. Knowledge and attitude scores plateaued between the post-test and the three-month mark, remaining statistically stable with p values of 0.473 and 0.541 respectively. Behavior and preventive motivation, however, continued to climb significantly during the same period, both with p values below 0.001. This suggests that the intervention did more than transmit information. It appears to have triggered a self-reinforcing cycle in which motivated interns kept practicing safer behaviors, and those behaviors in turn deepened their commitment to prevention. The most concrete outcome measure was perhaps the simplest: only six needlestick injuries were reported across the entire group during the follow-up period.

Numbers alone cannot explain why the intervention worked, which is where the qualitative arm of the study proved valuable. A subsample of 49 participants took part in ethnographic observations and semi-structured interviews, allowing the researchers to see how the education translated, or failed to translate, into daily ward practice. Thematic analysis of this material yielded four themes and six subthemes, capturing how the interns perceived the intervention and how it reshaped their thinking about sharps safety. The researchers report that most nursing interns rated the intervention positively, describing it as engaging and relevant to their real clinical situations, and suggesting that the format could be extended to other healthcare disciplines beyond nursing.

The study’s methodological choices strengthen its credibility. By requiring participants to have completed at least a month of clinical practice, the researchers ensured that baseline knowledge and attitudes reflected genuine ward experience rather than classroom theory. The three-time-point measurement design allowed them to distinguish immediate learning effects from durable behavioral change, a distinction that many training evaluations miss. The combination of repeated-measures ANOVA with corrected post-hoc testing guards against the inflated error rates that can plague before-and-after studies, and the very large effect sizes, while partly a reflection of a single-group design without a control arm, indicate that the intervention moved every measured dial.

That single-group design is also the study’s main limitation, and the authors and readers alike should interpret the findings with appropriate caution. Without a randomized control group receiving standard lecture-based training, it is difficult to isolate the specific contribution of the caricature storyline format from the general benefit of receiving any structured, engaging education on needlestick prevention. Self-reported behavior scales can also diverge from observed practice, although the ethnographic observations in the qualitative arm partially offset this concern. Still, the consistency of improvement across four distinct outcome dimensions, and the continued rise in behavior and motivation over three months, make a compelling case that the intervention produced real change rather than a fleeting testing effect.

The implications reach well beyond one hospital in Chengdu. Needlestick injuries impose enormous costs on health systems, from post-exposure prophylaxis and testing to the psychological toll of waiting weeks for serology results. If a low-cost, scalable package of animated videos can meaningfully reduce these injuries among the newest and most vulnerable members of the clinical workforce, hospital educators have a practical tool they can deploy widely. The authors suggest the model may support the standardization of clinical practice and help reduce the occurrence of needlestick injuries more broadly. As hospitals worldwide grapple with how to instill safety culture in a constantly rotating stream of trainees, this study offers a reminder that sometimes the most effective teacher is a well-told story, even one drawn in exaggerated cartoon lines.

Subject of Research: Caricature storyline-based audiovisual education for preventing needlestick injuries among nursing interns

Article Title: Effects of caricature storyline audiovisual education on knowledge, attitudes, behavior, and preventive motivation regarding needlestick injuries among nursing interns: a mixed methods study

Article References: Gao, P., Cheng, L., Wang, Z., Zeng, X., Xu, X., Huang, J., Li, L., Li, W., Tang, M., Wang, Q., & Chen, X. (2026). Effects of caricature storyline audiovisual education on knowledge, attitudes, behavior, and preventive motivation regarding needlestick injuries among nursing interns: a mixed methods study. BMC Nursing. https://doi.org/10.1186/s12912-026-05373-6

Image Credits: AI Generated

DOI: 10.1186/s12912-026-05373-6

Keywords: needlestick injuries, nursing interns, audiovisual education, caricature animation, nursing education, occupational safety, mixed methods study, preventive motivation, clinical training, BMC Nursing, healthcare workers, sharps safety