Disaster Medicine and Public Health Preparedness

Background: Knowledge translation (KT) is essential for ensuring that research evidence informs policy and practice. However, little is known about researchers' intentions to engage in KT activities or their relationship with conventional bibliometric indicators. This study aimed to (1) assess researchers intentions to engage in KT activities using a questionnaire informed by the Theory of Planned Behavior (TPB), and (2) examine the association between these intentions and individual bibliometric indicators. Methods: A cross-sectional survey was conducted among faculty members at Tehran University of Medical Sciences. A questionnaire informed by selected constructs of the TPB was developed to assess researchers intentions to engage in activities across the seven components the action cycle of Knowledge-to-Action (KTA) framework. The instrument was validated through several rounds of expert review and then with a sample of potential participants. Bibliometric indicators (H-index, Number of Publications, Number of Citations, First-Author Publications, Corresponding Authorship, International Publications and Self-Citations) were extracted from the national academic registry. To assess representativeness, bibliometric characteristics of respondents were compared with those of a random sample of non-respondents drawn from the same registry. Confirmatory Factor Analysis (CFA) validated the intention construct, and Structural Equation Modeling examined associations with demographic and bibliometric variables. Results: A total of 143 researchers participated. Intention scores were highest for adapting knowledge to local contexts and identifying barriers and facilitators, and lowest for monitoring and sustaining knowledge use. CFA supported a unidimensional intention construct with favorable model-fit indicators. No bibliometric indicator was significantly associated with KT intention. Age was the only significant predictor. Respondents had stronger bibliometric profiles than non-respondents, indicating potential non-response bias. Conclusions: Researchers reported relatively strong intentions to engage in KT, but these intentions were not associated with conventional bibliometric indicators. Age was the only significant predictor. Overall, findings suggest that traditional academic metrics may not reflect KT intentions and highlight the need to strengthen institutional incentives for KT.

Background Timely overdose response depends not only on surveillance systems that detect overdose clusters, but also on communication pathways that deliver actionable information to the professionals positioned to respond. Understanding which overdose-related communications are received, perceived as useful, and translated into action is essential for improving overdose prevention and response infrastructure. Objective We assessed which overdose-related communication channels professionals reported receiving, which they perceived as most helpful, how organizations reported responding to overdoses or overdose clusters, and whether these patterns differed by professional role, county, and funding source. Methods We conducted an exploratory descriptive survey in 2024 using a convenience sample of professionals across Connecticut whose jobs involved overdose prevention or response (N=149). Using this survey data, we summarized reported receipt and perceived utility of overdose-related communication channels, organizational response actions, and internal receipt of Connecticut Department of Public Health overdose alerts. Results were stratified descriptively by professional role, county, and funding source. We interpreted findings using a public health communication-to-action cascade focused on signal detection, communication receipt, internal dissemination, perceived utility, and response action. Results Reported communication receipt and perceived utility differed most clearly by professional role. Peer information sharing was the most commonly reported communication source and was frequently perceived as helpful, but respondents who reported receiving formal channels such as state alerts, local alerts, or platform-based information often identified those channels as most helpful. Internal receipt of Connecticut Department of Public Health overdose alerts also varied by role. SSPs/substance use treatment programs and first responders more often reported outreach to people who use drugs, whereas government and health district respondents reported a more even mix of public communication and outreach activities. Conclusions Overdose-related communication in Connecticut appears role-dependent and unevenly distributed. Informal peer networks are widely used and perceived as helpful, while formal alert systems may require improvements to reach and actionability. Practical improvements include opt-in communication pathways tailored to professional roles, clearer access points for state and local alerts, internal dissemination protocols that specify who should receive which alerts, and alert-to-action playbooks that connect specific alert types to recommended response steps.

Objective Nurses' specific medication-administration double-check procedures vary widely; while independent double-checks (IDCs) are considered effective and recommended, they are implemented insufficiently in practice. This study aimed to classify these procedures by their component features and determine which features nurses consider desirable and perceive as implemented in clinical practice. Design Cross-sectional web-based vignette study Setting, participants, and methods Nurses working in Japanese hospitals or clinics participated in this study, for which we created 84 scenarios by combining checking procedures' features, including independence between checkers, across the calculation, preparation, and administration stages. For each scenario, participants self-reported the desirability of the procedure and its perceived implementation frequency in their clinical setting. Linear mixed-effects models assessed associations between checking-procedure features and each rating, and McNemar's test assessed discrepancies between desirability and implementation frequency for IDC. Primary outcome Associations between double-check procedures' features and their desirability and implementation frequency, and the alignment between desirability and implementation frequency for IDC Results Of 534 respondents, 265 were analyzed after prespecified attention-check exclusions. Independent checking was positively associated with desirability (b=0.304, 95% CI [0.255, 0.353], p<0.001), perceived implementation frequency for high-risk medications (b=0.140, 95% CI [0.080, 0.200], p<0.001), and non-high-risk medications (b=0.083, 95% CI [0.022, 0.143], p=0.008). Only 22.5% of nurses perceived IDC as the most frequently implemented procedure during the calculation stage. Moreover, 23.4% rated IDC as the most desirable, but did not report it as the most frequently implemented, whereas 8.1% showed the reverse pattern (OR=2.89, 95% CI [1.69, 4.94], p<0.001). Conclusions Although independence, a key feature of IDC, was reflected in nurses' desirability ratings and perceived implementation frequency, IDC was not the most frequently implemented checking procedure, relative to others. Implementing IDC may require not only promoting understanding of its significance but also establishing work protocols and organizational environments that enable independent checking.

Background Pediatric neurocritical care (PNCC) has emerged as a distinct field, and many hospitals have moved to establishing dedicated PNCC programs. How practice change is implemented within these programs is not well understood. This study had two objectives. First, we sought to understand the barriers and facilitators of practice change in PNCC from the perspectives of the multiprofessional clinicians who deliver it. Second, we sought to characterize how well the integrated Promoting Action on Research Implementation in Health Services (i-PARIHS) implementation determinant framework captures them. Methods We conducted semi-structured interviews with a purposive sample of clinicians involved in PNCC at three U.S. academic medical centers. The interview guide was developed using i-PARIHS to organize barriers and facilitators of practice change across the innovation, recipients, context, and facilitation constructs. We applied framework analysis, combining deductive i-PARIHS, study-specific, and inductively derived categories. Two coders independently indexed the transcripts and reconciled them to consensus, with first-author adjudication. Preliminary site-level findings were validated with participants. Results We interviewed 33 clinicians: 24 physicians, 7 nurses, and 2 advanced practice providers. Most determinants of practice change mapped to existing i-PARIHS constructs, but three were not adequately captured by the framework as currently specified. The most consequential was an interprofessional authority gradient that determined whose preferences prevailed when intensive care, neurology, and neurosurgery disagreed. The other two were clinician autonomy, which served as the lens through which the acceptability of a change was judged, and the affective state clinicians bring to practice change. Receptivity depended more on recipients' values, prior experience, and capacity to absorb change into a demanding workflow. Facilitation was variable, frequently under-resourced, and dependent on credibility across professional groups. We translated these findings into three propositions linked to implementation strategies and outcomes. Conclusions Participants attributed practice change in PNCC more to the recipients of change, the multiprofessional context, and the availability of facilitation than to the strength of evidence for a given practice. i-PARIHS captured most barriers and facilitators well but may be adapted in this setting. Credible, resourced, authority-sensitive facilitation may improve the prospects for sustained practice change as institutions develop PNCC programs.

Bangladeshi immigrants are a rapidly growing U.S. immigrant population, yet little is known about how pre-migration healthcare experiences shape healthcare use after migration. This qualitative study explored how healthcare norms from Bangladesh influence the health-seeking behaviors of Bangladeshi immigrants in the U.S., the barriers and facilitators they encounter, and their perceptions of care quality. Semi-structured interviews were conducted with 29 Bangladeshi-born adults living in the U.S. from September 2020 to January 2021 and analyzed using the constant comparative method. Participants described healthcare expectations shaped by the healthcare system of Bangladesh, which is mostly out-of-pocket and resource-limited, including symptom-driven rather than preventive care, self-treatment, and family-based caregiving. In the U.S., they faced barriers such as insurance confusion, long waits, difficulty establishing care, coverage disruptions, financial concerns, and language challenges. While participants valued culturally and linguistically concordant care, preferences for Bangla-speaking or co-ethnic providers varied, especially when perceived quality was low. Community networks, online information, self-education, and self-advocacy helped facilitate care. Provider communication strongly shaped perceptions of U.S. healthcare: feeling heard, respected, and well-informed promoted trust, while dismissal or delayed diagnosis led to skepticism and avoidance. These findings suggest that healthcare engagement of Bangldeshi immigrants is shaped by both structural barriers and pre-migration norms. Improving access will require attention to subgroup-specific histories, insurance navigation, language access, and the relational quality of care.

Background A culture of patient safety is a significant determinant of healthcare quality and the prevention of patient harm. The objective of this study was to evaluate patient safety culture among healthcare workers at a tertiary-care hospital in India using the Indian-adapted Hospital Survey on Patient Safety Culture (I-HSOPSC 2.0). Method The survey was descriptive and cross-sectional, carried out among 96 healthcare practitioners, comprising 32 doctors, 32 nurses, and 32 allied health professionals. Also, a validated version of the Hospital Survey on Patient Safety Culture (I-HSOPSC 2.0) was used to measure patient safety culture in India. Descriptive statistics, Shapiro-Wilk test, Kruskal-Wallis test, Fishers exact test, and positive response rate analysis were used for the data analysis. Result The overall patient safety culture score was 3.72 {+/-} 0.52, indicating a positive view of patient safety culture. In terms of domains, Communication about Errors, Management Support for Patient Safety, and Teamwork scored highest, while Staffing, Work Pace, and Response to Errors scored lowest. Considerable discrepancies were observed across professions, with allied health professionals giving more favourable answers than nurses. Conclusion Overall, the culture around patient safety was good, but areas such as staffing, pace of work, and error response need targeted attention to sustain patient safety and improve the quality of care in healthcare services.

Background. Regulatory pressure to avoid confusingly similar drug names appears to have pushed manufacturers to coin more distinctive proprietary names, but no one has quantitatively analyzed this trend. Objective. To determine whether proprietary drug names became more orthographically distinctive (unusual in spelling) over time. Methods. We examined 1,321 US Food and Drug Administration (FDA) new molecular entity (NME) names (1985-2024), 2,769 FDA Orange Book trade names (1982-2026), 177,337 US pharmaceutical trademarks (1980-2026), and 1,273 generic names (1982-2025). Compared to prior names (including those already marketed) and ordinary English, we scored each name's character trigram (three-letter sequence) surprisal (statistical unexpectedness) and its edit-distance similarity to the closest existing names. Linear regression tested time trends, controlling for name length. Results. Mean NME trigram surprisal rose in every decade between the 1980s and 2020s, from 7.21 to 8.50 nats (natural-logarithm units, higher meaning less predictable), an 18% increase (b = 0.038, p < .001, R2 = 0.34). Half of 2020s names (7% in the 1980s) contained a letter sequence found in no common English word (e.g., Jesduvroq, Omvoh). Nearest-neighbor similarity fell after the early 1990s. Trademark data showed the same trend (b = 0.016, p < .001). Generic names showed a weaker trend (b = 0.011, R2 = 0.063). Conclusions. Over four decades, drug names became more orthographically distinctive, consistent with namespace crowding, deliberate efforts to avoid confusing names, and branding strategy. Because unfamiliar letter sequences can introduce other error pathways, increased distinctiveness does not necessarily imply improved safety.

Objective: To examine associations of health insurance status, household income, and cost-related healthcare barriers with receipt of a routine medical checkup among U.S. adults. Methods: This cross-sectional study analyzed 2024 Behavioral Risk Factor Surveillance System data. Survey-weighted descriptive estimates and multivariable logistic regression incorporated sampling weights, strata, and primary sampling units. The outcome was a routine medical checkup within the previous 12 months. Results: Among 321,592 complete cases, 78.0% of U.S. adults reported a recent routine checkup. Cost-related barriers (adjusted odds ratio [AOR], 0.56; 95% confidence interval [CI], 0.54-0.57) and uninsurance (AOR, 0.28; 95% CI, 0.27-0.29) were associated with lower checkup utilization. Lower household-income groups generally had lower adjusted odds than adults with incomes of $200,000 or more. Conclusions: Insurance, income, and reported cost barriers were independently associated with routine checkup utilization. Findings are descriptive and do not establish causal effects. Keywords: health insurance; household income; cost-related barriers; routine medical checkup; healthcare utilization; BRFSS

Background: Chronic pharmaceutical stock outs hinder Universal Health Coverage in Ethiopia. To address this, the Ministry of Health introduced the electronic Logistics Management Information System for inventory visibility and Auditable Pharmaceutical Transactions and Services for financial management. However, no national study has tested their combined impact. This study evaluated the individual and synergistic effects of electronic Logistics Management Information System and Auditable Pharmaceutical Transactions and Services on essential commodity availability across Ethiopian public healthcare facilities. Methods; We conducted a secondary analysis of the 2024/2025 Ethiopian Service Provision Assessment dataset utilizing 1245 public facilities nested within 125 clusters. The primary outcome was optimal essential commodity availability (zero stock outs and 100% tracer commodity presence). A two-level mixed-effects logistic regression model with an interaction term evaluated synergy, reporting Adjusted Odds Ratios with 95% Confidence Intervals. Results; Overall optimal availability was 54.2% (95% CI; 51.4%-57.0%). Implementation rates were 41.2% for eLMIS, 38.2% for APTS and 26.5% for dual implementation. Facilities using eLMIS alone (AOR = 2.15; 95% CI: 1.52-3.04) and APTS alone (AOR = 1.82; 95% CI; 1.28-2.58) showed higher security. Dual implementation showed a profound synergistic effect (AOR = 4.32; 95% CI; 3.25-5.74, p < 0.001). Positive predictors included functional cold chains (AOR = 2.08), qualified staffing (AOR = 1.68), hub proximity (AOR = 1.58) and urban settings (AOR = 1.95). The model explained 66.2% of regional variance. Conclusion; Dual implementation of electronic Logistics Management Information System and Auditable Pharmaceutical Transactions and Services creates a powerful synergistic impact on pharmaceutical availability. Synchronized national scale-up and cold chain investments are urgently needed to achieve supply chain resilience and Universal Health Coverage in Ethiopia.

A. Rationale: Medication-related incidents are an important patient-safety concern, particularly in critical-care and inpatient settings where polypharmacy, clinical complexity, frequent therapeutic modifications, and transitions of care increase the risk of medication errors. Systematic analysis of reported incidents can help identify predominant error patterns, potential contributing factors, and priority areas for quality improvement. The present study was undertaken to characterize medication-related incidents and identify areas requiring targeted patient-safety interventions. B. Research Question What are the predominant patterns and distribution of medication-related incidents across critical-care and inpatient units, what patient-care, process, communication, documentation, and system-level factors potentially contribute to their occurrence, and how can these findings be systematically translated into prioritized, evidence-based quality-improvement interventions to strengthen medication safety and reduce preventable medication-related harm? C. Study Design and Methods A retrospective descriptive observational study was conducted to assess the pattern of medication-related errors identified through medication audits conducted in inpatient and critical-care settings. A total of 74 medication audit records were retrospectively reviewed. Each record was evaluated for the presence and type of medication-related error, including transcription, administration, documentation, and dispensing errors. The identified medication errors were categorized based on the nature of the error documented in the audit records. As individual records could contain more than one type of medication-related error, the error categories were considered non-mutually exclusive. Consequently, the total number of error occurrences could exceed the number of records reviewed. Descriptive statistical analysis was performed using frequency distributions and percentages to determine the relative occurrence of each medication-error category. Pareto analysis was subsequently performed to identify the predominant error categories and establish priorities for quality-improvement interventions. The Pareto analysis demonstrated that transcription and administration errors constituted the major contributors to the observed medication-related errors. The identified error patterns were further evaluated using a process-based patient-safety approach to determine potential failure points within the medication-use process. Poka-Yoke (error-proofing) principles were applied to identify opportunities for preventing or detecting errors at the point of occurrence. Based on the findings, potential interventions included standardization of medication-ordering and transcription processes, mandatory verification of medication details, strengthening of independent verification for high-alert medications, and incorporation of technology-enabled safeguards such as electronic medication administration records and barcode-based medication administration. The findings were used to identify priority areas for targeted quality-improvement interventions aimed at reducing medication-related errors and strengthening the safety and reliability of the medication-use process. D. Results: A total of 91 medication-related error occurrences were identified across the 74 audit records reviewed. Transcription errors constituted the predominant error category (46; 50.5%), followed by administration-related errors (41; 45.1%). Documentation-related and dispensing-related errors accounted for 3 (3.3%) and 1 (1.1%) occurrences, respectively. Pareto analysis demonstrated that transcription and administration-related errors collectively accounted for 87 of the 91 identified occurrences (95.6%), indicating a substantial concentration of medication-related errors within these two categories. The cumulative frequency increased from 50.5% for transcription errors to 95.6% following inclusion of administration-related errors, while the remaining categories contributed only 4.4% of the total error occurrences. Accordingly, transcription and administration-related errors were identified as the principal priority areas for subsequent root cause analysis and quality-improvement interventions. Interpretation: The findings demonstrate that transcription errors (50.5%) and administration-related errors (45.1%) were the predominant medication-related errors, collectively accounting for 87 of the 91 identified error occurrences (95.6%). Documentation-related errors constituted 3.3%, while dispensing-related errors accounted for 1.1% of the observed occurrences. Pareto analysis revealed a marked concentration of medication-related errors within the transcription and administration domains, indicating that these two categories represented the principal areas requiring focused quality-improvement interventions. Subsequent Root Cause Analysis (RCA) and Poka-Yoke-based error-proofing approaches were therefore directed toward identifying and mitigating process vulnerabilities within these high-frequency error domains. Keywords: Medication-related incidents, Medication errors, Patient safety, Critical care, Inpatient care, Medication transcription errors, Medication omission, Medication administration, Root Cause Analysis, Pareto analysis, Poka-Yoke, Error-proofing, Quality improvement, Medication safety, PDSA.

Background: Digital mental health applications offer scalable pathways to expand mental healthcare access in low and middle-income countries, yet limited evidence exists on factors predicting willingness to use such applications in South Asia. This study examined associations between digital mental health literacy (DMHL), Technology Acceptance Model (TAM) constructs, mental health symptoms, and willingness to use smartphone-based mental health applications among adults in Bangladesh. Methods: Cross-sectional study conducted from February to June 2026 across urban (Dhaka), semi-urban (Chattogram), and rural (Sylhet) divisions of Bangladesh. Adults aged 18-60 years attending primary care facilities with smartphone access (n = 400) completed a face-to-face interview in Bangla assessing sociodemographic, depression (PHQ-9), anxiety (GAD-7), DMHL (6-item scale, = .762), TAM perceived usefulness (5-item, = .937) and ease of use (5-item, = .924), and willingness to use mental health applications (5-item scale, = .946). Hierarchical binary logistic regression examined associations with willingness (dichotomized at mean [&ge;]3.5). Results: Greater DMHL was associated with higher willingness (adjusted odds ratio [aOR] = 1.24, 95% CI: 1.11-1.38). Both perceived usefulness (aOR = 1.29, 95% CI: 1.18-1.41) and perceived ease of use (aOR = 1.17, 95% CI: 1.07-1.28) independently predicted willingness. Anxiety symptoms were positively associated (aOR = 1.08 per 1-point increase, 95% CI: 1.01-1.15), whereas depression symptoms, age, and sex were not independently significant after adjustment for other variables. Conclusions: Digital literacy, perceived utility of technology, and symptom-specific phenomenology but not demographics alone are associated with willingness to use digital mental health applications. Building DMHL, optimizing the usefulness and usability of the app, and overcoming implementation barriers should all be given priority.

PurposeRural Alaska relies on air ambulances ("medevacs") to connect remote villages off the road system to higher-level care. Yet medevac decision-making is complicated by limited guidelines, high costs, and delayed transport. We aimed to quantify variability in physician medevac decisions and identify contributing factors. MethodsWe conducted a cross-sectional survey of physicians (n=20) within the Alaska Tribal Health System using 20 clinical vignettes representing varying levels of transport complexity. Participants selected transport modality (medevac, commercial, or remain in village) and rated confidence. Interrater agreement was assessed using Gwets AC1. A generalized linear mixed model evaluated predictors of medevac use. FindingsAgreement was "almost perfect" for clearly critical cases ("always medevac," AC1=0.97) but declined substantially for intermediate scenarios ("possible medevac" AC1=0.39; "never medevac" AC1=0.26; "special considerations" AC1=0.12). Confidence strongly correlated with agreement (r=0.83, p<0.001), forming distinct clusters of high-, medium-, and low-certainty decisions. Vignette type was the dominant driver of medevac use (OR 455.5 for "always medevac"), but decisions did not change with experience (OR=0.99, 0.94-1.04). Between-physician variability persisted after adjustment (ICC 3.8%; MOR 1.67), consistent with differences in risk tolerance. ConclusionsMedevac decision-making is highly consistent in certain clinical cases but interrater agreement is limited for intermediate cases. Without a shared gold standard of "correct" medevac decisions, future clinical decision support cannot rely on automated medevac decision making. Efforts to improve care should focus on deconstructing decisions, enhancing outcome feedback, and developing targeted decision support rather than prescriptive decision models.

Introduction: Nursing students experience stress arising from demanding academic requirements and emotionally challenging clinical placements, which may affect wellbeing, learning, and programme retention. This study explored perceptions of stress, its impacts, and coping experiences within undergraduate nursing education among nursing students and educators in New Zealand. Methods: A qualitative descriptive study was conducted with six undergraduate nursing students and six nurse educators at a New Zealand university. Data were collected through semi-structured interviews and analysed using inductive reflexive thematic analysis, with interpretation informed by the Transactional Model of Stress and Coping. Results: Three themes were identified: stress from multiple sources, stress shaping wellbeing and learning, and navigating stress through appraisal and coping. Stress arose from academic, clinical, personal, and social demands and affected academic engagement, health, and relationships. Participants described varied responses to stress, including different appraisals of challenging situations and coping strategies such as peer support, self-care, and use of institutional resources. Conclusion: Stress in nursing education reflects a dynamic interaction between individual appraisal, coping resources, and educational and interpersonal contexts. Although findings are limited to one institution, they highlight the importance of accessible, flexible, and culturally responsive support and of addressing modifiable educational stressors alongside strengthening students' coping resources.

Background: Herbal medicinal products are widely used in Ghana; however, adverse drug reaction (ADR) reporting associated with these products remains limited, posing challenges to pharmacovigilance and medicine safety surveillance. This study assessed trends in herbal medicine-related ADR reporting, determined the prevalence and factors associated with ADR reporting among herbal practitioners, and explored barriers to ADR reporting in Ghana. Methods: A mixed-methods study involving secondary pharmacovigilance data review, an analytic cross-sectional survey, and qualitative in-depth interviews was conducted. Secondary data on herbal medicine-related ADR reports submitted to the Ghana Food and Drugs Authority (FDA) between 2014 and 2024 were reviewed descriptively. The cross-sectional survey involved 271 herbal practitioners selected through multi-stage probability sampling across seven districts in the Greater Accra Region. Quantitative data were analysed using descriptive statistics and logistic regression in IBM SPSS Statistics version 26. The qualitative component involved 15 purposively selected participants, and thematic analysis was conducted using MAXQDA 2020. Results: A total of 117 herbal medicine-related ADR reports met the inclusion criteria and were analysed from the Ghana FDA pharmacovigilance database between 2014 and 2024. Among 271 surveyed herbal practitioners, 11.8% (95% CI: 8.0-15.6) reported submitting at least one ADR report during the preceding 12 months. In multivariable analysis, lack of ADR reporting forms or job aids (aOR = 0.11, 95% CI: 0.04-0.31) and lack of exposure to Ghana FDA ADR reporting guidelines (aOR = 0.09, 95% CI: 0.03-0.32) were independently associated with lower odds of ADR reporting. Qualitative findings identified causal uncertainty, inadequate training, weak reporting systems, commercial interests, and limited regulatory support as major barriers to reporting. Conclusion: ADR reporting associated with herbal medicinal products was limited within the national pharmacovigilance system and among surveyed herbal practitioners. System-level barriers, particularly limited access to reporting tools and FDA reporting guidance, were associated with lower reporting. Strengthening pharmacovigilance infrastructure, improving practitioner training, and increasing access to reporting tools may improve herbal medicine safety surveillance

Purpose: The internship period is a critical stage for nursing students to develop professional values. This study aimed to investigate the current status of professional identity among nursing interns, analyze the effects of social support, perceived stress, psychological resilience, and career adaptability on professional identity, and explore the mediating role of career adaptability between social support and professional identity, so as to provide empirical evidence for enhancing professional identity and optimizing nursing talent training systems. Methods: Using convenience sampling, 407 nursing interns from a tertiary hospital in Quanzhou were selected as participants from May to July 2025. Data were collected using a general information questionnaire, the Social Support Scale, the Perceived Stress Scale, the Psychological Resilience Scale, the Professional Identity Questionnaire for Nursing Students, the Career Adaptability Scale, and the Questionnaire for Nurse Intention to Retention Employed. SPSS 26.0 was used for reliability analysis, descriptive analysis, independent samples t-test, one-way ANOVA, Pearson correlation analysis, and multiple linear regression analysis. The PROCESS macro was employed to test the mediating effect. Results: The total score of professional identity among nursing interns was (61.74{+/-}11.08), with 73.5% showing moderate professional identity. Parents' attitude toward nursing, reasons for choosing the profession, personal attitude toward the major, and employment intention showed statistically significant differences in professional identity scores (p<0.05). Pearson correlation analysis revealed that professional identity was significantly positively correlated with social support (r=0.474), psychological resilience (r=0.389), and career adaptability (r=0.609) (p<0.01), and significantly negatively correlated with perceived stress (r=-0.378) (p<0.01). Multiple linear regression analysis indicated that career adaptability ({beta}=0.309, p<0.001) and social support ({beta}=0.383, p<0.001) were significant positive predictors of professional identity, whereas reasons for choosing the profession ({beta}=-3.603, p=0.001) and employment intention ({beta}=-7.116, p<0.001) were significant negative predictors. The model explained 49.2% of the variance in professional identity. Mediation effect analysis showed that career adaptability played a partial mediating role between social support and professional identity, with a mediation effect value of 0.288 (95% CI: 0.221-0.363), accounting for 40.2% of the total effect. Conclusions: Nursing interns' professional identity is at a moderately high level. Social support and career adaptability are positive influencing factors. Career adaptability plays a partial mediating role between social support and professional identity; social support indirectly enhances professional identity by strengthening career adaptability.

Background: Since Michigan's legalization of recreational adult-use cannabis in December 2018, health care providers in the city of Kalamazoo, Michigan, have informally observed an increase in cannabinoid hyperemesis syndrome (CHS) presentations, although the extent of this increase has not been formally characterized locally. CHS is frequently underrecognized and misdiagnosed, often resulting in repeated emergency department (ED) visits and substantial diagnostic costs before a diagnosis is reached. Despite this clinical and financial burden, it is unclear whether consumers are adequately informed of this risk through point-of-sale or public health resources. Methods: A cross-sectional environmental scan was conducted to identify publicly available educational content about CHS on the websites of licensed cannabis retailers in Kalamazoo and relevant public health agencies. Provisioning centers and public health websites were screened using a structured coding rubric developed specifically for the environmental scan to assess the presence, depth, web page placement, and intended audience of CHS-related content. Additionally, the electronic medical records at a local teaching hospital in Kalamazoo were queried to identify ED visits with a primary diagnosis of CHS from January 1, 2010 to December 31, 2025. Results: Before the legalization of marijuana, the hospital recorded six ED encounters with the primary diagnosis of CHS between January 2010 and November 2018, and 274 ED encounters between December 2018 and December 2025 (mean age: 29 years; 157 females, 123 males). The incidence rate of CHS-related ED encounters was 57.2 times higher during the post-legalization period than during the pre-legalization period (95% CI, 26.0-157.3; exact Poisson rate-ratio test, p < 0.0001). Among the licensed Kalamazoo provisioning centers reviewed, only one mentioned CHS as a warning but did not describe symptoms or offer medical guidance. CHS content was not identified on the websites of the state or local health departments. Conclusion: Despite the growing clinical concern regarding CHS, consumer-facing educational resources remain scarce. Although this study cannot establish a causal relationship between the availability of CHS-related educational content and the observed increase in ED encounters following legalization, it identifies a substantial lack of CHS-specific warnings in the evaluated consumer-facing resources. Given the clinical and potential economic burden associated with delayed CHS recognition, we recommend that Michigans existing point-of-sale pamphlet requirement be amended to include CHS-specific warning language.

Introduction:Although the COVID-19 pandemic clearly showed the potential consequences of a world without vaccinations, vaccine hesitancy is likely to be more pronounced in the post-COVID-19 era. The introduction of human papillomavirus (HPV) vaccines in this context is likely to raise particular concerns. In Tunisia, decision-makers have prioritized the introduction of HPV vaccine into the immunization schedule. This study assessed individual barriers and facilitators to HPV vaccine acceptability in Tunisia, with the aim of guiding an effective communication strategy for HPV vaccination campaigns in Tunisia and neighboring countries in a post-pandemic context.Methods: Using a qualitative design, we conducted 14 focus groups (FG) with healthcare professionals (HCP) (N=32) and community representatives (CR) (N=89) in five regions of the country. The discussion followed a semi-structured guide designed on the basis of vaccine hesitancy determinants matrix. Transcripts were deductively analyzed according to the 'social processes' and 'thinking and feeling' of the behavioural and social drivers (BeSD) Framework. Inductive approach was used to analyze participants suggestions for promoting HPV vaccination.Results:The FG analysis demonstrated that the historically strong trust in vaccination in Tunisia has weakened after the COVID-19 pandemic. Mistrust of health system and experts, the pandemic management and vaccine mandates measures had negative influence on the vaccine attitudes in a post pandemic Tunisian context. Persistent concerns about COVID-19 vaccines safety were frequently intertwined with widespread distrust of pharmaceutical companies and their profit motives, perceived as imposing inequitable access and lower-quality vaccines on countries in the Global South. These concerns fueled confusion about vaccines side effects. The weakening of immunity was recurring, as well as memory issues, impacts on fertility, and sudden deaths. Regarding information, our research revealed that although digital platforms were perceived as widely used, a significant part of the population interviewed considered public TV channel, as the most reliable source of health information.Conclusions: Emphasizing how the pandemic has shaped individual and collective perceptions and attitudes toward vaccination, our findings underline the importance of leveraging lessons learned from the pandemic to develop a context tailored and coherent communication strategy for successful HPV vaccine implementation.

Cardiovascular diseases (CVD) are the leading cause of global mortality, responsible for 17.8 million deaths and 423 million prevalent cases annually. While the etiology of CVD is multifactorial, evidence confirms that multicomponent behavioral interventions regarding diet and lifestyle can substantially reduce risk. This study aimed to evaluate the effectiveness of a 12-month mHealth intervention, i.e., public health practice supported by mobile devices in reducing the 10-year CVD risk among overweight and obese adults aged 35 to 64 in an urban Sri Lankan population. A two-group parallel-arm randomized control trial (RCT) was conducted with 1,200 participants from the Colombo district, assigned either to an intervention arm (n=600) or a usual care control arm (n=600). The intervention group received automated text and voice messages in their native language at a frequency of two of each per week over 12 months. The primary outcome, 10-year CVD risk, was assessed using the WHO CVD risk prediction score. The intervention significantly reduced the proportion of participants with a 10-year CVD risk from 10.0% to 6.2% (p=0.003), whereas no significant change was observed in the control group (11.0% to 9.7%). Participants in the mHealth arm demonstrated substantial behavioral improvements, including increasing daily fruit and vegetable servings from 3.6 to 5.5 and reducing daily salt intake from 7.64g to 5.62g. Physical activity levels also improved, with 89.6% meeting minimum daily requirements compared to 77.4% at baseline. These findings suggest a potentially beneficial effect on predicted cardiovascular risk. The study concludes that an automated mHealth intervention is an effective, feasible, and acceptable approach to reducing cardiovascular risk in an urban South Asian setting. The findings provide a robust evidence base for integrating digital health strategies into national non-communicable disease (NCD) prevention policies. While the 12-month results are promising, further longitudinal research is required to evaluate the long-term sustainability of these behavioral changes and their ultimate impact on mortality rates.

Background. Public-health use of influenza surveillance - situational awareness, planning for clinical surge, and issuing advisories or warnings - needs more than an accurate point estimate of next week's count. What matters operationally is whether a rise is caught early, whether the direction of change is right, and whether an alert threshold is about to be crossed, all with honest uncertainty. For such use a forecast must also respect reporting delay, later data revision, and the calibration of its prediction intervals. Using Japan's sentinel surveillance, we evaluated short-term probabilistic forecasts that respect the data release history, and we measured what adding other surveillance series contributes, focusing on the properties that matter for public-health decisions. Methods. The target was the number of influenza reports per sentinel site in each of the 47 prefectures. For each forecast we predicted, as quantiles, the value 1-4 weeks after the most recent observed week. We compared three models: a ridge regression trained jointly across prefectures; a gradient-boosting quantile regression (GBQR) that learns from many surveillance series; and their equal-weight combination on the log scale. Six seasons were used to develop the models. The 2025/26 season was held out as a temporal evaluation period after the specification was fixed; because its epidemic profile had already been seen, it is not a fully independent prospective test. We scored forecasts with the weighted interval score (WIS) and checked prediction-interval coverage. For the Japanese target series we used the value first published for each week; some auxiliary series were taken as retrieved and therefore include later revisions. Results. In 2025/26, the combination's WIS relative to a persistence forecast was 0.841, 0.811, 0.794 and 0.818 at horizons of 1-4 observed weeks - that is, 16-21% lower than persistence. Coverage of the 80% prediction interval was 79.7%, 77.1%, 74.5% and 75.1%, and of the 95% interval 94.3%, 93.4%, 92.6% and 91.8%. Adding auxiliary series improved the GBQR over the development period. However, on the original scale the combination's edge over ridge regression was not statistically clear, and in some low-level rising phases the combination did worse than ridge. Conclusions. Over the period studied, models that share information across regions scored better than a persistence forecast. For public-health use, however, the operative questions are the real lead time once reporting delay is accounted for, whether rises from low levels and threshold exceedances are caught in time, and whether the upper prediction intervals are wide enough; on these, the present evidence is not yet sufficient. The 2025 change to the sentinel system also means that pre-change advisory and warning thresholds cannot be read mechanically. A prospective evaluation with strictly controlled data availability is needed before such forecasts are used to support advisories or planning.

Background Influenza vaccines have seen many changes over recent years in terms of both policy recommendations and product types. Immune responses and vaccine effectiveness vary by vaccine strain composition and product type. This study aimed to explore this variation on a regional level through examining spatial and temporal autocorrelations of vaccine uptake of different product types within Michigan from 2017 to 2021. Methods Influenza vaccine administration data from the 2017/18 to 2021/22 seasons were obtained from the Michigan Care Improvement Registry. Population size estimates for 2017 and 2019 were obtained from the Michigan Department of Health and Human Services. Age-standardized and age-stratified vaccination rates were computed. Disparate county-level vaccine uptake clusters were constructed using spatial autocorrelation indicators and spatiotemporal clusters were identified using scan statistics. Linear mixed effect models were used to study the impact of social vulnerability and urbanicity level on seasonal influenza vaccination rate. Results Vaccination incidence rates for adjuvanted, recombinant, and nasal sprays vaccines and for any vaccines increased significantly through the study period. County-level spatiotemporal clusters of type-specific uptake rates were identified. Most notably, we identified an emerging cluster with high uptake of adjuvanted vaccine radiating from Ottawa County, located in suburban Grand Rapids, and the disappearance of high uptake cluster for high-dose vaccine uptake in the area. Vaccination rates by any product type were found to vary seasonally and showed weak negative association with more rural regions. The overall vaccination rates appear to be lower among counties with higher social vulnerability in certain urbanicity levels, but social vulnerability and urbanicity were not significantly associated with overall vaccination rate during the study period. Conclusions Vaccine type-specific uptake was spatially and temporally diverse in Michigan between 2017 and 2022. Mid and Northern Michigan had consistently relatively lower vaccination rate compared to other regions in Michigan.