The study, conducted across healthcare facilities in Saudi Arabia’s Eastern Province, surveyed 227 nurses working in four distinct clinical environments: critical care units, inpatient wards, outpatient clinics, and primary healthcare centres. The researchers combined a twenty-item knowledge test with a ten-item self-efficacy questionnaire adapted from an instrument first developed by Roh and colleagues, which showed strong internal consistency in this sample. Alongside the survey, they carried out twenty-two semi-structured interviews to probe the lived experiences behind the numbers, analysing the transcripts using a well-established thematic framework.

The statistical picture that emerged was consistent in direction but modest in magnitude. Knowledge and self-efficacy moved together: nurses who scored higher on the CPR knowledge test also reported greater confidence in their resuscitation abilities, a correlation that was highly statistically significant. Yet knowledge accounted for only about one-tenth of the variation in self-efficacy, meaning that the vast majority of what shapes a nurse’s confidence lies outside the boundaries of what a written test can capture. This finding alone carries an important implication for training programmes, because it suggests that simply teaching more facts about resuscitation algorithms will not, by itself, produce nurses who feel ready to lead or participate in a resuscitation attempt.

The differences between settings were striking on both measures. Critical care nurses recorded the highest self-efficacy scores, while their counterparts in outpatient clinics scored lowest, and the gap between these groups was substantial relative to the spread of scores within each group. Knowledge scores also varied by setting, though the differences were somewhat less pronounced. The researchers used analysis of variance with post-hoc comparisons to confirm that these were not chance findings, and the effect sizes they reported indicate that setting explains a meaningful, if partial, share of the variability in both outcomes.

One methodological caveat deserves attention. The researchers estimated how much of the variation in outcomes could be attributed to the clustering of nurses within settings, a quantity known as the intraclass correlation coefficient. Their point estimate was low, but because only four setting categories were available for this calculation, the confidence interval around the estimate was extremely wide. The authors themselves describe this figure as exploratory, and readers should treat it as a rough indication rather than a precise measurement. What it does suggest is that individual characteristics, such as prior experience, personal confidence, and recent exposure to real resuscitation events, likely matter more than the setting label itself.

The qualitative interviews added depth that the numbers alone could not provide. Six themes emerged from the analysis. The most prominent was that direct clinical exposure to real resuscitation events was the primary driver of self-efficacy: nurses who had recently participated in or witnessed an actual cardiac arrest response reported markedly greater confidence than those whose experience was limited to classroom scenarios. This aligns with a broader body of psychological research on self-efficacy, which holds that mastery experiences, meaning successful direct performance of a task, are among the most powerful influences on a person’s belief in their own capability.

The second theme concerned fear of error and the dynamics of the resuscitation team. Nurses described how anxiety about making a mistake, particularly in front of senior colleagues or physicians, could undermine their willingness to act even when they possessed the relevant knowledge. Team hierarchy, communication patterns, and the perceived consequences of speaking up all shaped whether a nurse felt able to contribute during an actual emergency. These findings echo long-standing observations in resuscitation research about the role of psychological safety in team performance during high-stakes events.

A third theme revealed a disconnect between how training is delivered and what it is meant to achieve. Many participants described pursuing CPR certification as a box-ticking exercise, a requirement to be completed rather than a genuine opportunity to build competency. This perception, the authors suggest, may explain why knowledge scores did not translate more strongly into confidence: if training is experienced as a formality, its content may not be deeply integrated into clinical practice or self-belief.

The fourth theme identified institutional support and structured debriefing as the factors that separated high-performing settings from low-performing ones. Units where resuscitation events were routinely followed by a reflective discussion of what went well and what could be improved tended to produce nurses with stronger self-efficacy. Debriefing after real events is well recognised in the resuscitation literature as a mechanism for consolidating learning, reducing emotional distress, and improving future team performance, and this study suggests its benefits extend to nurses’ confidence as well as their skills.

The fifth theme touched on psychological and emotional determinants, including the emotional weight of participating in resuscitation attempts, the fear of patient harm, and the lingering effects of difficult experiences. The sixth theme reinforced the idea that context matters: the same nurse may feel and perform differently depending on the environment in which they work, the resources available, and the frequency with which emergencies arise.

Taken together, the findings point toward a reframing of how resuscitation preparedness is understood and cultivated. The authors conclude that differences across settings cannot be explained by knowledge deficits alone, and that psychological and organisational factors contribute substantially. Their recommendations focus on two practical interventions: simulation-based training tailored to the needs of outpatient and primary care environments, where real resuscitation events are rare and experience accumulates slowly, and the establishment of routine debriefing practices after actual resuscitation events. Both recommendations are consistent with international resuscitation council guidance, which has increasingly emphasised the value of realistic rehearsal and structured reflection alongside traditional knowledge transmission.

For outpatient clinics and primary healthcare centres, the challenge is particularly acute. Nurses in these settings may go months or years without encountering a cardiac arrest, yet when one occurs they are often the first responders, and the outcome may depend on their readiness in those first critical minutes before advanced support arrives. Infrequent real-world exposure means that simulation becomes not a supplement but a substitute, the only reliable way to maintain the familiarity and confidence that critical care nurses develop through daily practice. The study’s finding that outpatient nurses scored lowest on both knowledge and self-efficacy suggests that current training provision in these settings is not closing that gap.

The study also carries implications for how healthcare organisations measure preparedness. Because the researchers explicitly note that clinical performance was not measured, only knowledge and perceived confidence, the findings should be read as a portrait of preparedness rather than a direct assessment of resuscitation quality. Nevertheless, the strong association between the two constructs, and the clear setting-level differences, provide administrators with a practical signal: where self-efficacy is low, it is worth investigating whether the underlying causes are educational, psychological, or organisational, since each calls for a different remedy.

The research was conducted in the Eastern Province of Saudi Arabia, a region with a well-developed healthcare infrastructure that includes tertiary cardiac facilities, general hospitals, and an extensive network of primary healthcare centres. The authors report that the study received no external funding and that it was approved by three separate institutional review boards covering all participating sites, with the study conducted in accordance with the Declaration of Helsinki. The reporting follows established guidelines for cross-sectional studies and for the qualitative component, and the mixed-methods design adheres to recognised criteria for studies of this type.

As with any cross-sectional design, the study captures a single moment in time and cannot establish whether low self-efficacy causes poorer resuscitation performance, whether infrequent exposure erodes confidence, or whether both are shaped by some third factor such as organisational culture. The authors are careful to frame their conclusions in these terms. What the study does establish is that preparedness, as measured by knowledge and confidence, is unevenly distributed across the healthcare system, and that the unevenness follows a pattern closely tied to clinical exposure and institutional support. For health systems seeking to improve survival from cardiac arrest, the message is that investment in simulation and debriefing, particularly in settings where real emergencies are rare, may yield returns that classroom instruction alone cannot deliver.

Subject of Research: CPR knowledge and resuscitation self-efficacy among nurses across different healthcare settings in Saudi Arabia

Article Title: CPR knowledge and resuscitation self-efficacy among nurses across diverse healthcare settings in Saudi Arabia: a mixed-methods cross-sectional study

Article References: Almualem, J., Alabdulbaqi, D., Alzain, F., Bazboz, M., Zahran, A., Alsaffar, Z., Almzain, J., Almansour, L., Alzaher, A., Altalaq, H., Bawady, A., Alhabib, Z., & Alsulaiman, M. (2026). CPR knowledge and resuscitation self-efficacy among nurses across diverse healthcare settings in Saudi Arabia: a mixed-methods cross-sectional study. BMC Nursing. https://doi.org/10.1186/s12912-026-05312-5

Image Credits: AI Generated

DOI: 10.1186/s12912-026-05312-5

Keywords: CPR, resuscitation, nursing, self-efficacy, Saudi Arabia, cardiac arrest, mixed-methods, primary healthcare, clinical training, simulation, debriefing, BMC Nursing

The research team, led by cardiologists at Bozhou People’s Hospital in Anhui Province, China, together with a colleague at the First Affiliated Hospital of the University of Science and Technology of China, evaluated ChatGPT Plus 5.5 thinking, Gemini 3.5 Flash, Microsoft Copilot smart, DeepSeek-V4-pro, Doubao, and Perplexity. Rather than inventing test questions in a conference room, the investigators built a standardized set of 56 sudden-cardiac-death-related public consultation questions from an unusually broad evidence base: Google Trends search data, online patient forums, public question-and-answer platforms, clinical guidelines, expert consensus statements, systematic reviews, and qualitative interviews with patients and family members. The topics spanned the full landscape of lay concern about sudden cardiac death, including symptom triage, emergency response, cardiopulmonary resuscitation and automated external defibrillator use, inherited cardiac risk, myocarditis-related worries, returning to exercise after illness, screening, and decision-making about implantable cardioverter-defibrillators.

Each of the 56 questions was submitted once to each of the six chatbots between May 10 and May 16, 2026, generating 336 individual model-response items for analysis. Five senior cardiology raters, blinded to which chatbot had produced which answer, then scored every response across a battery of validated instruments: a safety assessment, an accuracy assessment, an empathy scale, the DISCERN instrument for judging the quality of written health information, the EQIP instrument for ensuring the quality of patient education materials, the JAMA benchmark criteria, and the Global Quality Scale. Readability was calculated separately using six formula-based indices. Statistical comparisons between models used Cochran’s Q test and Friedman tests, with Kendall’s W reported as the effect size, and the agreement among raters was strikingly high, with a Fleiss’ kappa of 0.856 for the safety domain and intraclass correlation coefficients ranging from 0.801 to 0.887 for the other manually assessed metrics.

The headline finding on safety was genuinely reassuring at first glance. Safe responses predominated across all six models, suggesting that the current generation of publicly accessible chatbots has largely absorbed the basic guardrails of cardiac emergency communication. But the more consequential finding was that responses containing potential safety concerns appeared in every chatbot’s output during the study window. ChatGPT Plus 5.5 thinking and Perplexity showed the highest observed proportions of safe responses, while Doubao showed the lowest. Importantly, the qualitative severity analysis found that most flagged responses contained only a single potential safety concern, and the distribution of concerns was concentrated at the low and low-to-moderate severity levels, with higher-severity problems occurring less frequently. That pattern is consistent with a technology that has improved substantially but has not yet reached the reliability threshold that safety-critical health communication demands.

The qualitative analysis of flagged responses is arguably the most clinically valuable part of the study, because it names the specific failure patterns that clinicians and developers can act on. The reviewers repeatedly identified answers that delayed emergency activation for chest pain, syncope, or post-viral symptoms—the classic red-flag presentations of sudden cardiac death where immediate escalation to emergency medical services is the single most important instruction. They found instances of over-reassurance about prevention, implying that a person’s risk had been dismissed when individualized assessment was warranted. They documented fixed return-to-exercise timelines after infection or COVID-19, offered as blanket rules rather than guidance tailored to a patient’s cardiac evaluation. Some responses gave pulse-check instructions that could delay the start of CPR, a direct contradiction of resuscitation guidance that emphasizes rapid compressions. Others delivered oversimplified advice on screening, electrolyte disturbances, or implantable cardioverter-defibrillator decisions, flattening genuinely complex clinical judgments into deceptively simple answers.

Beyond safety, the study revealed sharp and statistically significant differences between models on nearly every quality dimension. Accuracy differed significantly across the six chatbots, with a Kendall’s W of 0.864 indicating strong rank concordance among raters; ChatGPT Plus 5.5 thinking, Gemini 3.5 Flash, Microsoft Copilot smart, DeepSeek-V4-pro, and Perplexity achieved similar median accuracy scores, while Doubao performed lower. Empathy also differed significantly, with a Kendall’s W of 0.531, and DeepSeek-V4-pro recorded the highest observed empathy score—a notable result, since empathetic framing is increasingly recognized as a determinant of whether anxious users actually follow health advice. Significant differences emerged for DISCERN, EQIP, JAMA benchmark, and Global Quality Scale scores as well, all at P < 0.001, confirming that the choice of chatbot materially changes the quality of the health information a member of the public receives.

DeepSeek-V4-pro emerged as the strongest overall performer on information quality within this dataset, achieving the highest DISCERN and EQIP scores and the most favorable readability profile, while Gemini 3.5 Flash showed comparable EQIP performance and Microsoft Copilot smart recorded the highest JAMA benchmark score. Yet two weaknesses were universal. Transparency remained limited across the board: chatbots rarely made clear where their information came from, how current it was, or how confident users should be in it, which matters enormously when a reader must decide whether to trust an answer about inherited cardiac risk. And every model produced responses with relatively high reading-grade requirements, meaning that the very populations most likely to need accessible cardiac health information—older adults, people with limited health literacy, non-native speakers—may struggle to extract the key safety messages from dense, jargon-laden text.

The authors are admirably explicit about the limits of their own findings. Each question was sampled only once during a single defined week in May 2026, and all prompts were submitted in English through public interfaces accessed from China. Generative models are stochastic and continuously updated, so the same question asked a month later might yield a different answer. The researchers therefore frame their results as a time-, language-, and access-specific snapshot rather than a stable ranking of the underlying models. This caveat is not a weakness of the study but a feature of honest evaluation methodology in a field where the tools change faster than the literature can assess them, and it underscores why one-off benchmark scores should never be treated as permanent verdicts on any AI system.

The practical implications are clear for three audiences at once. For members of the public, the message is that chatbots can be useful for general education about sudden cardiac death—understanding what an implantable defibrillator does, why myocarditis follows some viral infections, or what screening involves—but they must never substitute for calling emergency services or consulting a clinician when symptoms suggest a cardiac emergency. For clinicians and public health communicators, the study identifies the exact content areas where AI guidance most often goes astray: emergency escalation, CPR and AED instructions, return-to-exercise timing after infection, individualized risk interpretation, and screening decisions. For developers, the study’s recommendations read as a roadmap: prioritize evidence-linked content, build clear red-flag escalation into every relevant response, adopt plain-language communication, and submit systems to ongoing expert review rather than one-time validation.

What makes this study resonate beyond cardiology is its methodological template. By combining blinded expert scoring across validated instruments with a fine-grained qualitative analysis of safety failures, and by anchoring the question set in the genuine concerns of patients and families, the researchers have shown how AI health tools should be evaluated: not with a single accuracy number, but across the full multidimensional surface of safety, accuracy, empathy, quality, transparency, and readability. Sudden cardiac death is an unforgiving test case—outcomes are measured in minutes, and a subtly wrong answer about chest pain or pulse-checking can be fatal. On that test, the six chatbots earned a qualified pass: good enough to inform, not yet good enough to advise alone. As generative AI becomes a default first stop for health questions worldwide, studies like this one provide the evidence base that regulators, developers, and clinicians will need to decide where these tools belong in the chain of care—and where they must, without exception, hand the user straight to a human.

Subject of Research: Evaluation of generative AI chatbots for public health consultation on sudden cardiac death

Article Title: Multidimensional evaluation of generative AI chatbots for public consultation on sudden cardiac death: safety, accuracy, empathy, reliability, quality, and readability across six models

Article References: Chen, Y., Ma, H., Wang, H., Chen, D., Wang, H., & Jiang, R. (2026). Multidimensional evaluation of generative AI chatbots for public consultation on sudden cardiac death: safety, accuracy, empathy, reliability, quality, and readability across six models. BMC Public Health. https://doi.org/10.1186/s12889-026-29766-z

Image Credits: AI Generated

DOI: 10.1186/s12889-026-29766-z

Keywords: generative AI, chatbots, sudden cardiac death, public health, CPR, AED, patient safety, health communication, readability, empathy, large language models, BMC Public Health

The rationale for studying resuscitation readiness in dental settings is more compelling than it might first appear. Cardiovascular disease remains the leading cause of death in Iran, accounting for nearly half of all fatalities, with ischemic heart disease alone responsible for roughly a quarter of deaths. Although medical emergencies in dental clinics are uncommon, they do occur, sometimes among patients, sometimes among dentists and staff, and sometimes among accompanying companions. Previous research has quantified the risk: in the United States, the annual incidence of cardiac arrest in medical and dental practices has been estimated to range between 0.008 and 1 per 133 practitioners, while the United Kingdom reports an incidence of 0.002 per dentist per year. In Germany, 57 percent of dentists report encountering at least three medical emergencies annually. These figures, while modest, underscore a simple truth: dental offices are healthcare environments, and emergencies can and do happen there.

What distinguishes the new study from earlier surveys is its scope. Most prior investigations focused exclusively on dentists, overlooking the assistants and office secretaries who might be the first to recognize a collapse, call for help, or begin chest compressions. Because all members of a dental team are healthcare providers who should be capable of performing basic life support, the researchers designed a cross-sectional survey covering the entire team. Between October 2021 and April 2022, they sampled clinics and offices across Isfahan, the largest city in central Iran, using stratified simple random sampling that divided practices by type, public versus private, and by geographic district, then selected clinics at random within each stratum to minimize selection bias.

The instrument itself was built for rigor. A 27-item structured questionnaire was developed by emergency medicine faculty, each with more than a decade of experience running CPR workshops, and aligned with the American Heart Association’s 2020 guidelines. It covered three domains: demographic information, nine items of theoretical and practical CPR knowledge, and fourteen items on attitude and experience, including prior exposure to cardiac arrest, workshop participation, and willingness to pursue future training. A pilot study of 20 dentists, excluded from the main analysis, confirmed clarity and reliability, with Cronbach’s alpha values of 0.82 for the knowledge domain and 0.79 for the attitude domain, both within the accepted range for psychometric consistency. Ethical approval came from Isfahan University of Medical Sciences, and written informed consent was obtained from every participant.

The findings were stark. Of 201 valid responses, including 101 dentists representing an 81 percent response rate among those approached, the median CPR knowledge score was just 3 out of a possible 9, with a mean of 2.61 and a standard deviation of 1.75, and the distribution of scores was positively skewed, clustering heavily at the low end. Participants had a mean age of 31.75 years, and 62.2 percent were female. Only five participants, 2.5 percent of the entire sample, had ever encountered a cardiac arrest in dental practice, and just eleven individuals, 5.5 percent, reported having personally performed CPR. Perhaps most striking, only 12.9 percent had attended a CPR workshop in the previous two years, and a mere 13.4 percent considered themselves competent to perform resuscitation at all.

Buried within the data was a counterintuitive and potentially important pattern: knowledge declined with age and experience. The analysis revealed a significant negative correlation between dentists’ age and CPR knowledge scores (r = −0.184, P = 0.009) and between years of professional experience and knowledge (r = −0.231, P = 0.020). This mirrors a finding from Kuwait, where younger dentists and those with fewer than ten years of experience outperformed their senior colleagues, but it contradicts studies from India and among oral and maxillofacial surgeons in which experienced practitioners knew more. The authors propose a plausible explanation: most participants in the current study had not received recent refresher training, so whatever knowledge older dentists once acquired has simply eroded. They also caution that recency of formal education may confound the relationship, since younger graduates may have been trained under more current guidelines, and they recommend that future studies control for graduation year and timing of the last CPR course.

The strongest positive signal in the data came from training itself. Dentists who had participated in CPR workshops within the past two years scored significantly higher on the knowledge assessment than those who had not (P = 0.007), a result consistent with findings from Iran and Kuwait, and one that aligns with the well-documented kinetics of skill decay: theoretical knowledge declines markedly within about 12 months, and practical competence deteriorates substantially after 18 months without reinforcement. Encouragingly, the appetite for remediation is already there. A striking 84.1 percent of respondents said they wanted to attend future CPR workshops, and among dentists specifically the figure exceeded 88 percent. Gender, meanwhile, made no measurable difference in knowledge scores (P = 0.124).

The study’s limitations are acknowledged candidly by its authors. Competence was measured only through a self-administered questionnaire, capturing theoretical knowledge rather than hands-on skill, and no simulation-based practical testing was performed. The cross-sectional design, the single-city setting, and the sample of 201 participants restrict causal inference and generalizability, and self-reported data are always vulnerable to recall and social desirability bias. Non-response was analyzed as a potential source of bias and appeared minimal, with no significant differences between respondents and the 19 percent who declined, most commonly citing lack of time or lack of interest. Still, the convergence of these findings with an international literature spanning Brazil, India, Turkey, Kuwait, and earlier Iranian surveys, which found, for example, that only 37 percent of Iranian dentists in a 2007 study possessed adequate CPR knowledge, strengthens the conclusion that preparedness deficits in dentistry are systemic rather than local.

The implications reach beyond clinical performance into patient safety and law. Previous reports have documented deaths from cardiopulmonary arrest occurring in dental settings, and inadequate resuscitation capability carries potential legal consequences for practitioners, alongside the more intangible costs of insecurity among dental teams and eroded patient trust. The authors argue that a single CPR course, however well taught, is not enough, and they call for mandatory, periodic CPR training woven into both undergraduate dental curricula and continuing professional education, explicitly extending the requirement beyond dentists to assistants and office staff. Given the strong expressed willingness of the workforce to train, they note, structured recurrent programs are not only medically necessary but entirely feasible. In a field where minutes decide survival, the study’s central message is hard to ignore: readiness must be renewed, not assumed, and the whole dental team, not just the person holding the drill, must be ready to act.

Subject of Research: Knowledge and attitudes toward cardiopulmonary resuscitation among dental teams in Isfahan, Iran

Article Title: Life-saving skills in dentistry: knowledge and attitude toward cardiopulmonary resuscitation among dental teams

Article References: Heydari, F., Nasr Isfahani, M., Masoumi, B., Esmailian, M., Khosravi, H., & Nasr-Esfahani, M. (2026). Life-saving skills in dentistry: knowledge and attitude toward cardiopulmonary resuscitation among dental teams. Journal of Emergency and Disaster Medicine, 2(1), Article 15. https://doi.org/10.1007/s44467-026-00018-9

Image Credits: AI Generated

DOI: 10.1007/s44467-026-00018-9

Keywords: cardiopulmonary resuscitation, CPR, basic life support, dentistry, dental teams, cardiac arrest, emergency preparedness, medical emergencies, dental education, Iran, American Heart Association guidelines, continuing professional development