Disaster Medicine and Public Health Preparedness

This study aims to map significant cold spots of postacute rehabilitation therapy delivery rates for Original Medicare beneficiaries in the U.S. and determine the prevalence of those cold spots in rural areas. Statistical spatial clustering of postacute therapy delivery rates was conducted in ArcGIS Pro using hot and cold spot analyses (Getis-Ord Gi*). County-level therapy delivery volume was defined as the total minutes of physical, occupational, and speech therapy provided by skilled nursing facilities (SNFs), home health agencies (HHAs), and inpatient rehabilitation facilities (IRFs). Therapy delivery rates were then computed as minutes per Original Medicare beneficiary at the county level and adjusted using a county-level Hierarchical Condition Category risk score. Spatial clustering identified cold spots (statistically significant clusters of low rates) and hot spots (clusters of high rates). We also computed the proportion of cold spots in rural counties and the relative percentage difference compared to the national rural county baseline, using two rural classification systems. Identified coldspots varied by provider type. For SNFs, they were notably identified in the Mountain and West North Central US divisions. For HHAs, cold spots appeared across more U.S. Census Divisions, including areas (e.g., Kentucky, Indiana, southern Illinois) where SNFs showed hot spots. Cold spots were more prevalent in rural--and especially in small rural--counties across all provider types. In rural counties, cold spot rates were 42.8% to 71.5% higher than the rural county baseline. In small rural counties, differences were larger, at 69.1% to 95.5% higher. Concluding, cold spots of postacute therapy delivery varied across the continental U.S. by provider type but were more prevalent in rural and especially in rural counties with smaller population size -- across provider types. Identifying these cold-spot locations may support geographically targeted policy responses and the development of alternative service?delivery models in underserved areas.

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.

The COVID-19 pandemic amplified existing public health emergencies, including the overdose crisis. In rural areas, the effect of emergency preparedness planning on local responses to the pandemic is unknown. We conducted 52 semi-structured interviews with two participant groups (28 people who use drugs [PWUD] and 24 local stakeholders) in two rural counties in southern Ohio. Interviews explored service disruptions, perceptions of the pandemic, organizations pre-existing emergency plans, and communication channels. Transcripts were analyzed thematically to identify data patterns within and between stakeholders and PWUD. Emergency preparedness plans often were inadequate for the needs of PWUD. Several stakeholders reported that their organizations existing plans required updates and additional PWUD perspectives to respond effectively to pandemic-related needs. Both PWUD and stakeholders described widespread service disruptions, including reduced hours, understaffing, and limited access to supplies. Communication was inconsistent, contributing to challenges in maintaining trust and ensuring access to accurate information. Heightened stigma and law enforcement protocols further discouraged the use of essential services. Despite these challenges, PWUD and stakeholders showed resilience and identified community-driven solutions, including peer distribution networks and rapid transition to telehealth services to mitigate these harms. The COVID-19 pandemic exposed critical gaps in existing emergency preparedness plans for PWUD in rural Ohio. Ensuring the continuity of essential services, strengthening communication channels, and integrating PWUD perspectives into future emergency preparedness plans are essential to improve responses to future emergencies.

Background: Academic achievement is crucial for university students, but various factors affect their performance. This study explores the impact of anxiety, sleep quality, social media use, and socioeconomic status on academic performance (CGPA) among public university students in Bangladesh. Data and Methods: Data were collected from 225 students using a structured questionnaire that assessed anxiety (GAD-7), sleep quality (PSQI), social media use (SMUQ), and socioeconomic status (income, parental education). Structural Equation Modeling (SEM) was used to analyze the relationships between these variables. Outcomes: The results showed that socioeconomic status had a strong positive effect on academic performance ({beta} = 0.745, p < 0.001), while anxiety negatively impacted academic outcomes ({beta} = -0.675, p < 0.001). Sleep quality was positively related to academic performance ({beta} = 0.113, p < 0.05), but with a weaker effect. Social media usage is found to have a negative significant effect on academic performance ({beta} = -0.137, p < 0.001). Conclusion: These findings highlight the importance of controlling social media usage and anxiety to enhance academic performance among adult students. Sleep quality and socioeconomic background of the students are also found to be meaningfully associated with their educational progress.

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.

Background: Spatial accessibility measures estimate how much hospital capacity a community can reach but do not show how that capacity is distributed across health systems. A community may have several reachable hospitals but still depend on one or a few systems. Methods: We used the enhanced two-step floating catchment area method to estimate staffed-bed spatial accessibility for New Jersey census tracts. We included short-term acute care hospitals in New Jersey and neighboring states within a 30-minute drive of at least one New Jersey tract. For each tract, we grouped hospital-level accessibility contributions by health system and calculated a Herfindahl-Hirschman Index (HHI). Spearman correlations examined associations of E2SFCA and HHI with tract-level sociodemographic characteristics. Results: Of 163 reachable hospitals, 94 were outside New Jersey and supplied 62.7% of reachable staffed beds. Across 2,172 tracts, the mean E2SFCA score was 1.98 beds per 1,000 distance-weighted residents; among 2,161 tracts with positive scores, the median HHI was 0.31. Using cutoffs of E2SFCA <2.0 and HHI [&ge;]0.18, 934 tracts met both criteria, while an E2SFCA-only rule missed 655 tracts with higher accessibility but high concentration. E2SFCA and HHI correlations had opposite signs for seven of eight sociodemographic characteristics. Conclusions: E2SFCA and HHI classified New Jersey tracts differently under the illustrative cutoffs. Contribution-based HHI identifies tracts in which a closure, service relocation, or capacity reduction involving a major contributing system could affect a large share of modeled accessible capacity. Keywords: Spatial accessibility; hospitals; E2SFCA; health systems; Herfindahl-Hirschman Index

Objective: To assess the efficacy of an executive peer coaching program, Charting Champions Program (CCP), in helping physicians manage their administrative workload, thereby improving time management, workflow and well-being. Findings: In this longitudinal survey study, physicians self-reported significant improvements in completing charting and administrative paperwork during their clinical day. Physicians reported significant improvements in mental, cognitive and emotional states after the program. Meaning: The Charting Champions Program is an effective intervention that supports physicians in problem-solving the administrative burden of their clinical day, improving workflow efficiency, completing administrative requirements during clinical hours, and enhancing work-life balance and personal satisfaction. Background: Physicians are subject to high levels of mental, physical, and emotional stress, partly due to increasing administrative burdens. Online coaching is a proven intervention to help physicians improve workflow efficiency, reduce administrative burden and improve job satisfaction. Design: This voluntary longitudinal survey took place between 2020 and 2023. Physicians were asked to complete a survey at program entry and again 30-90 days after program completion. The survey consisted of 14 Likert scale questions, and a final sample of 280 physicians completed both surveys. Intervention: CCP contains modules that teach workflow improvements for clinical days, including timely charting, administrative task workflow, managing patient consultations and reducing interruptions. Interventions include self-paced modules, live coaching, recordings and an online peer community. Results: Post-CCP physicians reported a significant decrease in hours spent charting (P<0.0001) and completing clinical paperwork outside of clinical hours (P<0.006). Physicians also reported a decrease in work-related dread (P<0.001), feelings of burnout (P<0.001), and thoughts of quitting due to administrative burdens (P<0.001). Physicians felt more focused at work (P<0.001), felt more in control of the clinical day (P<0.001), and rated their mental energy at work higher (P<0.001). The program did not affect the number of patients seen in a full clinical day (P > 0.918). Conclusion and Relevance: The CCP reduces the time physicians spend on tasks outside of clinical hours, increasing free time without decreasing the number of patients seen per day.

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.

Perioperative safety checklists standardize critical actions, but reliable completion depends on the surrounding work system and team behavior. We conducted a prospective observational analytic study from April to May 2026 in the central surgical unit of a high-volume public teaching referral hospital in Indonesia to examine whether patient safety culture and teamwork were associated with directly observed perioperative safety compliance and whether teamwork mediated the culture-compliance relationship. Patient safety culture was measured with the Hospital Survey on Patient Safety Culture 2.0, teamwork with a 35-item TeamSTEPPS Teamwork Perceptions Questionnaire research adaptation, and compliance by direct role-based observation using a 45-item checklist derived from the AORN Comprehensive Surgical Checklist. Eighty of 92 recruited professionals contributed 240 person-operation observations across 50 operations. Overall compliance was 74.75%, with sign-out lowest at 70.68%. Patient safety culture was associated with teamwork ({beta} = 0.590; 95% CI 0.510-0.770) and directly with compliance ({beta} = 0.407; 95% CI 0.187-0.712). The teamwork-compliance coefficient was positive ({beta} = 0.285; p = 0.046), but the prespecified percentile 95% CI included zero (-0.045 to 0.517). The indirect effect through teamwork was not supported ({beta} = 0.168; p = 0.079). These findings support a system-level interpretation of perioperative safety and identify learning-oriented responses to error, situation monitoring, and sign-out fidelity as measurable targets for future improvement efforts.

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.

Indiana still faces significant health challenges, ranking among the least healthy U.S. states due to high obesity rates, mental health issues, and other chronic conditions. These disparities are closely linked to inequities in healthcare access, which are largely shaped by social determinants of health. Using data from the Social Vulnerability Index and County Health Rankings and Roadmaps, this study analyzes trends in obesity, mental health, and premature death across Indiana counties before, during, and after the COVID-19 pandemic. Descriptive statistics, correlation analyses, and Negative Binomial regression models were used to evaluate county-level disparities. In 2018, higher rates of uninsured, obese, and physically inactive populations were associated with increased premature death. In 2020, diabetes, smoking, and alcohol consumption were significant factors. By 2022, unemployment, education, obesity, insurance, exercise access, and mental health provider availability were associated with premature death. Findings indicate that socially vulnerable counties experienced amplified health impacts, with obesity rising most sharply where exercise infrastructure was limited and poor mental health days increasing across all counties. These results highlight persistent service gaps and the critical need for targeted investments in recreational infrastructure and mental healthcare. Future research should examine policy influences and causal relationships to inform equity-focused interventions.

Background Although often perceived as a technical tool, a data bank is fundamental for district performance management, facilitating integrated coordination, data consolidation, and routine information use for decision-making. However, implementation unfolds within hierarchical bureaucratic systems shaping authority distribution, workload allocation, coordination, and resource use. This study examines the political economy of institutionalizing a district-level health data bank in West Sumbawa District, Indonesia. Method A longitudinal qualitative case study was conducted in West Sumbawa District, West Nusa Tenggara Province, Indonesia, from November 2025 to March 2026 across three evaluation phases (baseline, midline, endline), involving 25 District Health Office (DHO) officers appointed to the Health Data Bank team, representing five organizational units, including the Secretariat, General and Human Resources Unit, and Public Health Division. Data were collected through participatory workshops, focus group discussions, in-depth interviews, observation, and document review, including official decrees, SOPs, meeting minutes, and implementation records, and analysed using Bossert's Decision Space Framework combined with a problem-driven political economy analysis examining how power relations, institutional norms, workload, resource support, and perceived incentives influenced whether technical reforms became operationalized in routine practice. Results The Health Data Bank progressed from strong institutional acceptance to structural formalization. Decision-making authority remained centralized within the Secretariat, enabling coordination but limiting distributed ownership. Resource constraints increased workload, concentrated in the Secretariat and division coordinators responsible for data consolidation and validation, without dedicated financing or staffing, despite improved analytical capacity. Accountability mechanisms were established through governance instruments, though enforcement and feedback loops remained underdeveloped. Data submission, validation, and use were not yet fully institutionalized, resulting in a gap between structural readiness and functional use. Conclusion Data institutionalization involves both technical and organizational processes, requiring collaborative negotiation of authority, workload, and resources. Continued attention to these factors will help structural formalization translate into sustainable operational outcomes.

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.

Nineteen individuals with diverse public health leadership experience across different levels and domains, from countries with varying levels of economic development, and who have direct involvement in crises were interviewed. A concise literature review was conducted, examining the intersection of politics and public health leadership, as well as a brief review of relevant existing leadership courses, training programs, and fellowships. The interviews were transcribed in full, anonymized, coded (total 1104 coded excerpts, 762 discrete excerpts), and used as the basis for analyzing findings. Our research identified four thematic areas at the intersection of public health and political leadership in public health crises: attributes and skills; role of and threshold for political engagement; structural elements underpinning effective public health response; and modalities for building public health leadership. Public health leaders need to learn core skills, especially effective communication, diplomacy, and advocacy, and cultivate key attributes, especially integrity and humility, that support their ability to engage with political decision makers. Political leaders need to contribute productively ways, and at the appropriate time, to ensure societal cohesion and facilitate a well-resourced multisectoral response with public health at its core. Pre-established relationships and coordination mechanisms can play a supporting and productive role when crises strike. Strategies that incorporate experiential learning, peer collaboration, and mentorship are central to building the skills public health leaders need to succeed in crises. Many tangible steps can be taken to foster and support public health leadership including: integrating the political dimensions of public health into public health education; tailoring public health trainings to include practical skills such as stakeholder engagement, effective communication, negotiation, policy advocacy, and community engagement; creating supportive ecosystems through peer, mentor, and fellowship approaches; and advocating for strengthening the structural interface between politics and public health.

Aim: To examine how and why Australians seek medical rather than dental care for dental problems, and to describe the pathways and treatments provided within medical settings. Subjects and Methods: Data were drawn from the National Dental Telephone Interview Survey (NDTIS) 2021, a nationally representative survey of 5,526 adults. Survey-weighted analyses estimated the prevalence and sociodemographic predictors of medical service use for dental problems. Among respondents who sought medical care, we identified the highest-intensity pathway used (general practice/other primary care, emergency department, hospital admission) and described treatment received (including prescription medications, non-pharmaceutical interventions, and referrals) stratified by reason for presentation. Results: Overall, 4.4% of adults sought medical care for a dental problem in the preceding year. Prevalence was substantially higher among Indigenous adults (13.5%), low-income groups (6.5%), and those eligible for public dental care (8.5%). Emergency departments were the dominant pathway (76.9%), followed by hospital admission (13.6%) and primary care (9.5%). Toothache/wisdom-tooth problems and oral injuries had the highest rates of antibiotic prescribing, while procedural care predominated for oral injuries. Other acute dental problems were managed heterogeneously, with many receiving only advice or symptomatic treatment. Referral to a dentist was uncommon across all groups. Conclusion: A significant proportion of Australians rely on medical services for dental problems, particularly those facing financial and geographic barriers to dental care. These encounters frequently provide symptomatic rather than definitive treatment and rarely include referral for follow-up dental care. The findings highlight gaps in access to timely dental services and the need for strengthened integration between medical and dental systems, improved referral mechanisms, and policy interventions to reduce preventable and inappropriate medical presentations for dental conditions.

Cancer prevalence is distributed unevenly across regions and caused by the interaction of multiple risk factors. Previous studies focused on the use of global modeling techniques to predict cancer at the county level that overlooks important spatial differences. This study aims to develop geographically weighted machine learning models to predict cancer prevalence at the census tract level in the United States and identify local determinants of cancer burden. First, a scoping review was conducted to find a list of measurable drivers of cancer in the United States. Using this list, the data of these variables for 84415 census tracts were obtained from the Center for Disease Control and Prevention PLACES dataset and other publicly accessible resources. Then, several predictive models, including Ordinary Least Squares (OLS) and Geographically Weighted Regression (GWR), as well as Random Forest, XGBoost, and Deep Neural Network and their geographically weighted counterparts, were developed and compared using the Coefficient of Determination, Root Mean Square Error, and Absolute Error. Results presented that geographically weighted models outperformed other methods, and geographically weighted XGBoost achieved the strongest and most consistent overall performance with pseudo-R2 ranging between 0.89 and 0.98. Feature importance analysis of this model illustrated that most important cancer drivers changed location by location. Aged people, racial composition, preventative behaviors, and metabolic conditions such as diabetes, hypertension, and high cholesterol were determined as influential predictors, although their relative importance varied across regions. These findings revealed the value of localized models at a small geographic scale to identify regional cancer risk patterns and help the allocation of proper resources to hotspot areas. Keywords: Cancer prevalence, Census tracts, geographically weighted machine learning models, Deep neural network, XGBoost, Random Forest, Ordinary Least Squares, risk factor, determinant

Background: Whether corrective actions documented in medical safety incident reports rely on individual vigilance ("Safety-I") or on structural, system-level intervention ("Safety-II") has not been quantitatively evaluated on a national scale in Japan. We developed an automated classification pipeline to assign corrective-action free-text to a 7-level maturity scale (L0-L6) and computed two summary indices: the Safety Measure Quality Profile (SMQP), the full L0-L6 distribution, and the System-based Safety Measure Rate (SSMR), the proportion of non-L0 records classified L3-L6. Methods: We analyzed all 11,507 corrective-action free-text entries from the 2010 release of Japan's national medical accident and near-miss reporting database (Japan Council for Quality Health Care, JCQHC), comprising 8,804 near-miss (Hiyari-Hatto) and 2,703 accident (Jiko) reports. Records were classified using a five-stage hybrid pipeline: an expert-developed rule dictionary, TF-IDF + k-nearest-neighbor matching, cosine-similarity matching, a two-tier large-language-model (LLM) classifier, and a conservative priority-cascade fallback. SSMR was compared between near-miss and accident reports using a chi-square test, Wilson 95% confidence intervals, Cramer's V, and the risk difference (RD), against pre-specified minimal clinically important difference (MCID) criteria of RD >= 2 percentage points and Cramer's V >= 0.10. Results: Every record received a definitive L0-L6 label (0% unresolved). Overall, 16.6% of records were unclassifiable (L0); among the 9,599 classifiable (non-L0) records, individual-vigilance actions (L1) predominated (54.6% of all records), and only 11.82% (95% CI, 11.19-12.49%) met the SSMR criterion (L3-L6). SSMR was higher for accident reports than for near-miss reports (18.12% [95% CI, 16.69-19.64%] vs. 9.[95% CI,46% [95% CI, 8.80-10.17%]; RD = 8.66 percentage points; Cramer's V = 0.120; chi-square(1) = 136.97001), exceeding both pre-specified MCID thresholds. Conclusions: In this interim single-year analysis, the large majority of documented corrective actions in Japanese medical safety reports remained individual-vigilance-based rather than system-based, with accident reports showing a substantively, rather than merely statistically, higher proportion of system-based actions than near-miss reports. These findings support the feasibility of large-scale automated assessment of corrective-action quality and provide the rationale for the planned 16-year longitudinal analysis.

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