CMAJ Open

BackgroundStandardized training and competency testing is needed for appropriate point-of-care ultrasound (POCUS) clinical use. Our study objective assesses a low-fidelity simulation pig model workshop and tests the knowledge and technical skills of emergency medicine (EM) clinicians when performing simulated ultrasound-guided serratus anterior nerve block (UG-SANB). MethodsEM residents, attendings, and advanced practice providers (APP) participated in a prospective cohort study, completing a one-time simulation-based UG-NB training session at a single academic medical center between November 2024 to February 2025. Training model acceptability, appropriateness, and feasibility was assessed using the validated AIM-IAM-FIM tool (pre/post-surveys). Effectiveness outcomes were participant knowledge score, technical skill score, and self-rated confidence in performing NBs pre-, post-, and 3-months post-intervention. Clinical ED-performed ultrasound-guided nerve blocks were reported pre-/post-intervention. Scores were summarized using mean (S.D.) and total question percent correct. Paired individual assessments were compared pre/post-intervention using paired t-tests and group assessments using t-tests for normal data distribution. Results63/104 ED providers (60.6%) responded to surveys pre-intervention and 57 post-intervention (54.8%). 63 providers (16 EM attendings, 33 residents, and 14 APPs) underwent SANB training and testing. Participant survey responses reported the training model was acceptable, appropriate, and feasible (at least 54/57 agreed or strongly agreed for all three). Mean knowledge scores were 85% (SD 14.8%) post- and 70% (SD 18.2%) 3-months post-workshop. Mean technical skills exam scores were 98% (SD 4.5%) post- and 95% (5.8%) 3-months post-intervention. Perceived confidence in teaching clinical NBs increased pre-/post-intervention (from 11.3% to 58.2%) and for SANB (3.2% to 70.2%). Clinically performed NBs at pre and post were 21 and 15 respectively. ConclusionEmergency clinicians knowledge, technical skills, and confidence scores increased after an UG-NB training intervention. This standardized, reproducible simulation model could improve clinical skills and patient care outcomes but needs additional steps to increase clinical UG-NB performance.

BackgroundRural emergency departments (EDs) are critical to ensuring equitable access to acute care, yet face persistent systemic challenges. In Quebec, Canada, reforms to healthcare governance, funding and resource allocation, and service delivery have transformed rural ED operations. This study aimed to document characteristics, challenges, and improvement priorities for all rural EDs in the province. MethodsA participatory mixed-methods design was used. 26 rural EDs in Quebec were included. Data sources comprised administrative statistics, structured site surveys, individual stakeholder semi structured interviews, and a validation survey of identified local champions. Analyses comprised a triangulation of the quantitative and qualitative data using transversal thematic analysis to determine common issues. Potential solutions identified were validated through stakeholder questionnaires. The study was reported in accordance with the COREQ reporting guideline. ResultsMost respondents were women (64%) and professionals with more than 5 years of experience. Four main themes were identified: governance, healthcare organization, access to resources, and professional practice. Governance challenges included reduced local autonomy, administrative complexity, and budgeting models poorly adapted to rural realities. Participants emphasized the need for standardized but locally flexible administrative processes, regional emergency service managers, and rural-sensitive performance metrics. Organizational barriers included geographic isolation, limited access to primary care, and difficulties with interfacility transfers due to referral-center capacity and ambulance shortages. Resource constraints centered on shortages of human resources, diagnostic services and specialty coverage, especially anesthesia, obstetrics, and psychiatry. Professional practice was shaped by the need to maintain broad competencies in low-volume contexts, while contending with professional isolation and proximity to patients. Local champions prioritized expanding telemedicine, strengthening prehospital services, enhancing continuing education, and implementing tailored recruitment strategies. ConclusionThis study provides the first province-wide documentation of characteristics, challenges, and improvement priorities for all rural EDs. Findings highlight the need for systemic reforms that restore local decision-making authority, strengthen transfer and prehospital capacity, expand telehealth and specialty access, and support professional development. These results provide a foundation for evidence-based policies and actions to sustain equitable emergency care in rural regions.

BackgroundAdvanced Practice Providers (APPs), including physician assistants and nurse practitioners, represent a growing proportion of the emergency medicine workforce, including in high-acuity community emergency departments (EDs). Despite this growth, many sites lack formal onboarding structures, particularly for new graduate or inexperienced APPs transitioning to practice. Unlike postgraduate residencies and fellowships, limited literature exists on structured onboarding models outside academic settings. This study evaluated the feasibility and perceived impact of a structured onboarding program for APPs in a non-academic community ED. MethodsThis mixed-methods feasibility study was conducted at a single-site community ED without an existing formal onboarding process. New graduate or inexperienced APPs hired within 12 months of program implementation completed a post-intervention survey assessing satisfaction across five domains derived from a conceptual framework of human resource practices and retention. Quantitative data was collected using 5-point Likert-scale items, and qualitative data was obtained through open responses. Leadership and preceptors completed a secondary survey evaluating feasibility and perceived impact. Descriptive statistics and thematic analysis were performed. ResultsFour new graduate APPs (100% response rate) completed the post-implementation survey. Mean scores across domains ranged from 3.33 to 5.00, with highest ratings observed in supervisor support (mean = 5.00), employee engagement (4.33), and alternative training via online modules (4.67). Qualitative themes included clear communication of expectations, value of asynchronous educational modules, and strong mentorship support. Fifteen leaders and preceptors reported that although the program required additional effort, it improved tracking of APP progress, preparedness for transition to practice (4.67), and was perceived as worthwhile to reduce attrition. ConclusionsA structured onboarding program for new graduate APPs in a community ED was feasible, well accepted, and perceived to support transition to practice. These findings support the need for further study of structured onboarding as a scalable strategy to enhance preparedness, engagement, and potential retention in high-acuity clinical settings.

ObjectiveTo characterize the clinical and administrative concerns communicated through secure ophthalmology messaging and to assess differences in message content across patient sociodemographic groups. DesignCross-sectional study of de-identified, patient-initiated secure messages sent between June 2014 and July 2024. ParticipantsPatients with ophthalmic conditions who initiated secure electronic health record portal messages. Of 48 516 extracted message threads, 30 390 patient medical advice request messages from 4 817 unique patients were included after exclusion of questionnaires, courtesy messages, and clinician responses. Participants were 55.5% female, 56.9% aged 50 years or older, 48.7% White, and 85.7% non-Hispanic. MethodsNatural language processing and large language model-assisted topic classification were used to categorize message content. Differences in message frequency by demographic subgroup were assessed using 2-proportion z tests. Main Outcomes and MeasuresDistribution of message topics and frequency of clinical concerns stratified by age, sex, race, ethnicity, and marital status. ResultsNearly half of all messages addressed administrative issues, including scheduling, medication refills, and insurance. Among clinical concerns, vision disturbances (20.8%), glaucoma-related symptoms (8.7%), imaging or tumor-related questions (7.5%), and postoperative concerns (7.4%) were most common. Message content differed significantly by demographic characteristics. Non-White patients more frequently raised issues related to pharmacy refills, insurance, glaucoma, and disability documentation, whereas White patients more often reported surgical concerns. Older patients more frequently messaged about glaucoma, surgery, and tumor-related issues, while female patients more often reported complications and swelling or infection. ConclusionsSecure patient messages frequently include clinically relevant symptoms with potential triage implications and demonstrate demographic differences in care-seeking behavior. Systematic analysis of message content may support safer triage, improved workflow efficiency, and more equitable delivery of ophthalmic care.

ObjectivesTo explore stakeholder perspectives on care coordination barriers and facilitators in regionalized neuro-oncology delivery, using brain tumors as a model for examining complex care pathways serving mixed rural-urban populations. DesignReflexive thematic analysis of semi-structured interviews from stakeholders across the neuro-oncology care pathway was used to identify themes of care system strengths, systemic barriers to effective service delivery and priorities for system improvement. SettingRegionalized Canadian health system serving one of Ontarios largest catchment areas, characterized by predominantly rural populations and substantial geographic distances to tertiary care. ParticipantsThirty-six stakeholders purposively sampled to represent diverse roles across the care pathway, including family caregivers (n=6), healthcare providers from multiple specialties and care settings (n=28) and Indigenous community advisors (n=2). ResultsTwo main themes with subthemes emerged revealing a tension between localized excellence and systemic fragmentation. Theme 1 (Care System Strengths) included three subthemes: responsive palliative care integration, exceptional provider commitment, and effective intra-institutional communication. Theme 2 (Systemic Barriers to Care Continuity) included four subthemes: absent cross-institutional coordination infrastructure, insufficient pathway standardization, inadequate educational infrastructure for patients and providers and limited regional clinical trial access. Coordination mechanisms functioning effectively within the tertiary center consistently failed at interfaces with referring hospitals and community services, with participants describing patients becoming "lost in transitions." ConclusionsFindings reveal how regionalized cancer systems can achieve localized coordination while failing at system integration. The contrast between internal institutional coherence and external fragmentation suggests that effective care delivery requires deliberately extending coordination mechanisms across organizational boundaries through standardized pathways, shared information systems and defined cross-site accountability structures. Brain tumors, requiring rapid multidisciplinary coordination, expose these interface failures with clarity, offering transferable insights for improving integrated cancer care in regionalized health systems serving geographically dispersed populations. ARTICLE SUMMARYO_ST_ABSStrengths and limitations of this studyC_ST_ABSO_LIPurposive sampling captured diverse stakeholder perspectives across the entire care continuum, from tertiary providers to community services and family caregivers C_LIO_LIReflexive thematic analysis with independent coding by three researchers enhanced interpretive rigor and depth C_LIO_LIBrain tumors function as a model condition for examining care coordination due to their rapid progression and sensitivity to variability in care C_LIO_LISingle health system design limits direct generalizability but enables in-depth examination of coordination mechanisms in a regionalized context C_LIO_LIGeographic and organizational characteristics common to Canadian regionalized systems support transferability of findings C_LIO_LIIndigenous patient perspectives were represented through community advisors; direct patient voices from Indigenous communities would strengthen future work C_LI

ObjectivesEmergency Medical Services (EMS) demand is increasing, with a growing proportion of low-acuity encounters. Prior studies are limited by regional sampling, inconsistent definitions, narrow observation periods, and limited theoretical grounding. The objective of this study was to identify predisposing, enabling, and need-based factors associated with EMS transport among low-acuity emergency department (ED) patients, guided by Andersens Behavioral Model of Health Services Use. MethodsWe conducted a secondary, retrospective observational study using a 10% random sample of multicenter electronic health record (EHR) data from 21 emergency departments in the southeastern United States. To be eligible to be included in the analysis, the visit had to be for: (1) patient age >17 years of age, (2) occur between January 1, 2016, to April 29, 2025, (3) triaged as Emergency Severity Index (ESI) 4 or 5, and (4) ended in a final visit disposition of being discharged. The primary outcome was EMS utilization. Independent variables were categorized as predisposing, enabling, or need-based factors according to Andersens model. We used multivariable logistic regression to estimate adjusted odds ratios (aORs) with 95% confidence intervals. ResultsAmong 41,772 low-acuity ED encounters, 3,233 (7.7%) arrived by EMS. Increased odds of EMS use were associated with older age (per 10-year increase; aOR 1.30, 95% CI=1.27-1.33), male sex (aOR 1.20, 95% CI=1.12-1.30), being retired or disabled (aOR 3.60, 95% CI=3.15-4.10), being unemployed (aOR 2.26, 95% CI=2.04-2.52), having a nighttime presentation (aOR 1.63, 95% CI=1.51-1.76), and mental health diagnosis (aOR 1.76, 95% CI=1.62-1.90). Protective factors included White race (aOR=0.89, 95% CI=0.83-0.96), established primary care (aOR=0.57, 95% CI=0.57-0.62), weekend presentation (aOR 0.91; CI = 0.84-0.99), and visits during (aOR 0.63, 95% CI=0.55-0.71) or after (aOR 0.54, 95% CI=0.48-0.61) the COVID-19 period. Rurality, insurance, and primary language were not associated with EMS use. ConclusionsPredisposing and enabling factors were the predominant drivers of low-acuity EMS utilization in this sample. Expanding access to primary care and behavioral health services, especially for older patients, may reduce EMS use for low-acuity complaints while preserving EMS capacity for higher-acuity emergencies.

BackgroundChronic Care Management (CCM) services represent an underutilized Medicare benefit with potential to reduce healthcare costs and improve care coordination for beneficiaries with multiple chronic conditions. ObjectiveTo evaluate the real-world impact of CCM services on healthcare expenditures and patient out-of-pocket costs in a large multi-specialty outpatient practice. DesignPragmatic retrospective cohort study comparing Medicare beneficiaries enrolled in CCM services versus eligible non-enrolled beneficiaries. SettingLarge multi-specialty outpatient clinic in Alabama with 77 physicians across more than 20 specialties. ParticipantsTreatment group (n=6,093) consisted of patients continuously enrolled in CCM services between January 1, 2024 and December 31, 2024. Comparison group (n=30,432) included eligible patients who were not enrolled in CCM services during the same period. InterventionStructured CCM program delivered by licensed practical nurses (LPNs) providing monthly telephone or video encounters focused on care plan implementation, medication reconciliation, care coordination, preventive health maintenance, and social determinants of health. Main MeasuresPer-member-per-year (PMPM) paid amounts and patient out-of-pocket expenditures, adjusted for age and sex differences. ResultsThe CCM treatment group demonstrated 13.6% lower unadjusted healthcare costs compared to the comparison group ($96 vs. $110 PMPM). After adjusting for demographic differences, cost savings increased to 17.1% ($75 vs. $89 PMPM). Patient out-of-pocket expenses were 16% lower in the treatment group ($29 vs. $34 PMPM). These savings were achieved despite the treatment group being 2% older on average and including 10% more female beneficiaries--both factors typically associated with higher healthcare costs. ConclusionsImplementation of structured CCM services in a real-world multi-specialty practice setting is associated with reductions in both total healthcare expenditures and patient out-of-pocket costs. These findings support CCM as a practical, cost-effective approach to chronic disease management that benefits patients.

Purpose: High clinical workload is associated with worse patient and hospital outcomes and is a well-established driver of clinician burnout. Trainees may be particularly exposed, shouldering both clinical and educational responsibilities. Evidence-based work design offers a data-driven approach to healthcare work but relies on robust workload measurements. Trainee workload remains poorly characterized, as commonly used metrics (e.g., duty hours, patient census) overlook cognitive and contextual dimensions. This pilot evaluated the feasibility of combining survey-based and electronic health record (EHR) data to characterize internal medicine (IM) trainee workload. Methods: A pilot study was conducted including IM and Medicine-Pediatrics residents (postgraduate years 1-4) between March 31 and June 22, 2025. Participants completed daily surveys during a seven-day inpatient schedule assessing workload and work experience domains, including environment, professional fulfillment, psychological safety, autonomy, and rounding experience, using validated instruments where available. Concurrently, EHR data captured chart review, documentation, orders, and secure messaging activity. Associations between survey and EHR data were assessed. Results: Among 37 eligible residents, 28 (76%) participated in the pilot capturing 166 shifts. Trainees spent 4.4 +/- 1.6 (mean +/- SD) minutes completing daily surveys and 8.6 +/- 2.3 minutes completing the final survey. Trainees reported working 11.6 +/- 1.0 hours/day and a median census of 9.0 (IQR 6.0-11.0). NASA-TLX score was 50.8 +/- 12.6. Positive shift ratings were associated with lower NASA-TLX scores and perceived rounding length. First-to-last EHR login duration was 15 +/- 2 hours/day, and EHR data showed 204 +/- 46 active minutes/day. Login duration correlated with self-reported hours (r=0.43, p<0.0001), and notes signed correlated with self-reported team (r=0.19, p=0.013) and personal census (r=0.34, p<0.0001). Conclusions: Integrating survey-based and EHR-derived workload measures provides multidimensional insight into trainee work. This novel approach supports scalable measurement and evidence-based work design interventions to improve trainee well-being, education, and clinical efficiency.

PurposeTo characterize maternal transport patterns in Iowa, a state with levels of maternal care and without formal perinatal regions, and assess whether transport decisions reflect efficient, risk-appropriate coordination. MethodsWe analyzed 2010-2023 Iowa birth records, which included 2,251 maternal transports between obstetric facilities across 106 unique routes. We characterized transport patterns and applied a community detection algorithm to identify "communities" of obstetric facilities that disproportionately transport among themselves. FindingsSuburban and rural counties have elevated transport rates compared to urban counties. 2,189 transports (97%) were from lower-to higher-level facilities. Among these, 2,037 (93%) were to Level III tertiary care centers. 567 transports (25.2%) bypassed a closer facility offering an equivalent or higher level of care than its destination facility. Health system affiliation was associated with bypassing transport, indicating potential organizational rather than purely geographic drivers of transport decisions. Three "communities" of obstetric facilities largely shaped by geographic proximity were identified. ConclusionsAlthough Iowa does not have formal perinatal regions, patterns of maternal transport are mostly in line with three de facto regions. Some potential inefficiencies were identified, such as obstetric facilities transporting to a farther facility when a closer facility offered the same level of care or higher. These findings may help identify opportunities to enhance care coordination among obstetric facilities, optimize maternal transport networks, and improve regionalization of maternal care.

BackgroundHigh workload among healthcare workers has increasingly been correlated with poor patient outcomes, inefficient operational and financial outcomes, and burnout. Despite growing literature exploring causes of attending physician workload, there is limited understanding of trainee-specific measures. ObjectiveWe aimed to characterize elements contributing to trainee workload and perceived challenges and satisfiers to the trainee workday as a foundation for better understanding and measuring trainee work experience. MethodsInternal Medicine and Medicine-Pediatrics residents at an academic medical center were invited to participate in focus groups discussing contributors to inpatient workload and work experience between March and April 2024. A qualitative content analysis identified key metrics of trainee workload and work experience, which were then consolidated into overarching domains. A structured, multi-round rating process ranked the perceived relevance of each metric. ResultsTwenty residents participated across six focus groups. Analysis of focus groups yielded 297 workload metrics across 28 unique domains. Seventeen domains had metrics identified as highly relevant (median 6-7; IQR < 1) including autonomy, communication, disruptions, task switching, documentation, emotional burden, patient factors, professional fulfillment, rounding, teaming, and work-life balance. ConclusionsResident physicians highlighted complex interactions between clinical factors, work design, and psychosocial dynamics that contribute to their sense of workload. This creates opportunities to develop unique measures of workload to understand the trainee experience better. Further studies are needed to capture the generalizability of these findings and the relationship between these workload domains and patient, organizational, and trainee outcomes with the aim of implementing evidence-based work design.

BackgroundThe physician assistant (PA) workforce has expanded rapidly in the United States, increasing the importance of effective physician-PA collaboration. Although PAs improve patient outcomes and access to care, the determinants of effective collaboration has not been well studied. North Carolina provides a relevant context due to its growing PA workforce and supervisory regulatory structure, in which physicians retain administrative responsibility for PA supervision across practice settings. This study examines determinants of effective physician-PA collaboration in ambulatory care settings in North Carolina. MethodsFour virtual focus groups were conducted with practicing physicians (n=7) and PAs (n=9) across multiple specialties in NC. Transcripts were analyzed using thematic analysis to identify facilitators and barriers to collaboration. ResultsThematic analysis identified six major themes reflecting relational, organizational, and systemic influences on teamwork. Findings demonstrate collaboration evolves over time through early-career mentorship, continuity of working relationships, and progressive trust development. Differences in professional identity, power dynamics, and misunderstanding of PA scope of practice influenced autonomy and delegation. Systemic factors such as reimbursement structures and organizational supervisory policies hindered efficient teamwork. LimitationsFindings are based on a small, purposive sample within a single state and may not be generalizable to all ambulatory settings or regulatory environments. Perspectives may also reflect self-selection bias among participants with strong views on collaboration. ConclusionsEffective physician-PA collaboration depends on intentional onboarding, role clarity, interprofessional education, and alignment of organizational policies with regulatory standards to support team-based care.

Background Advice and Guidance (A&G) enables primary care clinicians to seek specialist input, supporting decision making and avoiding unnecessary referrals. The use of A&G has significantly expanded, accelerated by COVID19 and contractual changes. While A&G is intended to streamline elective care, concerns persist regarding workload shift, variable responsiveness, and system usability. Despite growing policy emphasis, little is known about why clinicians choose to use A&G. Aim Explore the current use of A&G within primary care, focusing on decision making processes which underpin PCCs' decision to use A&G. Design and Setting Qualitative study set in English Primary Care Method Twenty semi structured video interviews were conducted with primary care clinicians purposively sampled for maximum variation. Topic guides were developed with PPIE input and refined iteratively. Data were analysed using reflexive thematic analysis within an interpretive description framework, with themes developed collaboratively and refined through discussion with researchers and PPIE contributors. Ethical approval was obtained (REC 333799). Results Four overarching themes encapsulate clinicians' decisions to use A&G: clinical presentation (acuity and complexity), navigating healthcare pathways, previous experiences of A&G, and using A&G to validate clinical decision making. Barriers included delayed responses and uncertainty about inequitable workload distribution. These factors shape how effectively A&G could be integrated into routine practice. Conclusion Primary care clinicians use A&G to support patient care and aid decision-making, but its effectiveness depends on timely, clinically helpful responses. Ensuring responses remain appropriate to primary care remit and capacity will be essential if A&G becomes the main route into elective care.

ObjectivesTo describe COVID-19 case investigation and contact tracing outcomes from an intervention conducted in two California counties under the California Contact Tracing Support Initiative (CCTSI). MethodsWe analyzed contact tracing program metrics in two counties using de-identified individual-level records from COVID-19 cases and their contacts. Interviews with 47 program staff were conducted and analyzed using thematic analysis. ResultsIn one county, 64% of assigned COVID-19 cases (2,722 of 4,279) were successfully interviewed, with 77% (2,105) of interviews occurring within 48 hours of receiving test results; 63% of assigned contacts (418 of 660) were notified, with 82% (348) of notifications occurring within 48 hours of contact elicitation. In a second county, 52% of cases (1,743 of 3,352) were interviewed, with 48% (1,621) interviewed occurring within 48 hours; 79% of contacts (155 of 196) were notified, with 82% (127) notified within 48 hours. CCTSI staff reported faster receipt of test results in the early months and positive perceptions of wrap-around service referrals. ConclusionsThe performance of the CCTSI contact tracing intervention differed across two California counties. In both counties, there was moderate to high case interview completion and contact notification overall and within 48 hours of case and contact identification, but relatively few contacts were elicited per case. The perceived benefit of several program features was high among staff and stakeholders. The evaluation highlighted generalizable challenges in contact tracing investigations and linking contact and case records in contact tracing databases.

Background Individuals experiencing or at risk of homelessness face substantial barriers to preventive eye care that are poorly addressed by standard service models. Interdisciplinary optometry-social work collaboration offers a rights-based approach to improving engagement and continuity of care. Methods A convergent mixed-methods study was conducted between February and August 2024 at a multidisciplinary community centre. Clients experiencing or at risk of homelessness received integrated optometry and social work assessment and were prioritised as high, medium, or low based on combined clinical and social risk. Social work follow-up was guided by the Triple Mandate and W-Questions framework. Quantitative data were summarised using mean (SD), median [IQR], or n (%). Qualitative case notes were analysed using content analysis with inductive coding and secondary review for consistency. Results A total of 165 clients had priority categories coded (high: 68; medium: 47; low: 154). Demographic data were available for 132 clients (60% male; mean age 49.5 years [SD 16]); 27% had not completed high school, 89% reported weekly income below AUD 1000, and 28% had vision impairment. Two hundred forty-five case-note entries were consolidated into 146 unique records. SMS (46%) and phone calls (38%) were the most documented contact methods, although only 21% of calls were answered; missed calls (13%) and disconnected numbers (7%) were common. Multi-modal contact was more frequently documented for higher-priority clients. Appointment assistance was the most recorded facilitator (71%), while rights-based supports, including interpreter and transport assistance, were infrequently documented (<=5%). Qualitative analysis identified unstable communication, reliance on informal supports, and service fragmentation as key influences on recall outcomes. Conclusion This study supports an interdisciplinary, rights-based optometry-social work model to address barriers to preventive eye care among people experiencing or at risk of homelessness. Embedding structured handovers and tiered recall processes within community-based services may strengthen continuity and accountability for high-priority clients. Future implementation should evaluate outcomes related to equity of reach, service integration, and sustained engagement in care.

Introduction Antibiotic use drives antimicrobial resistance, and optimizing prescribing in skilled nursing facilities (SNFs) - which care for medically complex residents in congregate settings characterized by frequent care transitions and diagnostic uncertainty - presents unique challenges. Antimicrobial stewardship (AMS) in SNFs has therefore become a focus of quality improvement efforts by federal and state health agencies. We aimed to identify factors that facilitate and hinder AMS implementation in SNFs. Methods A qualitative study of AMS implementation was conducted in Southern Arizona SNFs randomly sampled to represent urban/suburban, border, and rural regions. Semi-structured interviews were conducted with administrators, clinicians, and nonclinical staff within participating facilities. Interview transcripts were analyzed using constant comparative analysis, with both directed and emergent coding, facilitated by NVivo 12 software. Findings From 04/13/2019 through 12/13/2019, 57 interviews were conducted with 9 administrators, 38 clinical providers, and 10 nonclinical staff across 6 urban/suburban, 2 border, and 2 rural facilities. Analysis identified two thematic categories: "influencer themes," which describe specific barriers and facilitators to AMS implementation, and "system themes," which characterize SNFs as complex adaptive systems shaped by interacting staff roles, care transition challenges, and differing perceptions of AMS practices within the same facility. Key facilitators included effective internal communication, ongoing AMS education, and clinician AMS champions. Primary barriers included poor interfacility communication during care transitions, limited access to diagnostic resources, enculturated prescribing norms, and tension between immediate infection control priorities and long-term AMS goals. Conclusions Findings suggest that AMS implementation in Arizona SNFs is best understood as a systems-level process emerging from interactions among staff roles, organizational workflows, and care transitions, rather than solely from individual prescribing decisions. Recognizing SNFs as complex adaptive systems highlights the importance of communication structures, local champions, and feedback mechanisms. It underscores the need for coordination strategies within and across SNFs to sustain AMS interventions.

BackgroundEvaluations of complex care programs for high-need patients have yielded mixed results, and identifying patient subgroups may reveal differential intervention effects. This study aimed to use latent class analysis (LCA) to identify high-need patient subgroups within a randomized trial of the Camden Coalitions Core Model and to examine differences in healthcare utilization and care team engagement. Methods & FindingsWe conducted a post-hoc exploratory analysis of a randomized controlled trial (ClinicalTrials.gov: NCT02090426) involving 780 adults aged 18 [-] 80 years in Camden, New Jersey, who had multiple chronic conditions and frequent hospitalizations. Participants were assigned to receive multidisciplinary care management delivered by nurses, social workers, and community health workers for 3 [-] 4 months following hospital discharge, or to usual care. LCA incorporated medical, behavioral, and social risk factors, as well as prior hospital utilization, to identify patient subgroups. Outcomes included inpatient readmissions and emergency department visits over two consecutive 6-month post-discharge periods, along with service hours delivered to intervention patients. Four patient classes emerged: (1) Behavioral Health & Housing Instability, (2) Multi-system Medical Complexity, (3) Pulmonary Health & Substance Use, and (4) Lower Overall Complexity. In the second 6-month follow-up period, intervention patients had lower readmission rates compared with controls (-6.4 percentage points; 90% CI, -12.2 to -0.5). Subgroup differences included reduced readmissions in Class 4 and fewer emergency department visits in Class 1. Service intensity varied across classes, with Class 1 receiving the highest number of staff hours and Class 2 the lowest. ConclusionPatient segmentation revealed meaningful variation in healthcare utilization outcomes and care team engagement across high-need subgroups, suggesting that tailoring complex care interventions to specific patient profiles may improve program effectiveness and equity.

BackgroundThe 340B Drug Pricing Program was established to expand access to care for low-income and uninsured patients by allowing safety-net hospitals and clinics to purchase outpatient drugs at discounted prices. Over time, the program has expanded substantially, raising questions about whether participating hospitals are meeting the programs intended objectives. MethodsUsing 2023 hospital financial data from the RAND Corporation, we conducted cross-sectional descriptive comparisons of 340B and non-340B hospitals nationwide. Key measures included charity care as a percentage of operating expenses, Medicaid admissions as a share of hospital days, uncompensated care, and costs associated with uninsured patients approved for charity care. Subgroup analyses also examined the performance of Disproportionate Share Hospitals (DSH), Critical Access Hospitals (CAH), Rural Referral Centers (RRC), Sole Community Hospitals (SCH), and National Cancer Institute (NCI) designated hospitals. ResultsAmong 3,999 hospitals analyzed, 340B hospitals provided, on average, lower levels of charity care than non-340B hospitals (2.16% vs. 2.82% of operating expenses) and lower costs of charity care for uninsured patients (1.60% vs. 2.26%). However, 340B hospitals served a higher proportion of Medicaid patients (19.69% vs. 17.76%). Substantial variation was observed across 340B subcategories: DSH hospitals reported the highest Medicaid utilization, while CAH hospitals reported the lowest levels of charity care and Medicaid days. ConclusionsParticipation in the 340B program does not uniformly correlate with greater provision of charity care or uncompensated care. These findings suggest a misalignment between program intent and outcomes and support the need for greater transparency, standardized eligibility criteria, and minimum charity care requirements to ensure that 340B savings directly benefit underserved populations.

Background Rural populations face disproportionate barriers to healthcare access, often due to geographic isolation and limited provider availability. Prior studies have shown that increased travel time negatively affects appointment adherence. Telemedicine has emerged as a potential solution, but understanding its utilization in rural populations remains ongoing. Methods This retrospective cross-sectional observational study analyzed all scheduled appointments (n=5,548) from a single rural family medicine clinic in the Pacific Northwest United States during 2024. One-way travel times were calculated using the Google Maps Distance Matrix API and categorized into Short (<15 minutes), Medium (15-30 minutes), and Long (>30 minutes) commute groups. Proportions for utilization and cancellations of both telemedicine and in-person appointments were assessed across commute groups using chi-square tests (p < 0.05 considered significant). Results Overall, the proportion of cancellations were significantly higher among patients with Long commutes (36.2%) compared to Medium (31.0%) and Short (32.2%) commute groups (p < 0.001). Telemedicine utilization increased proportionately with commute time (7.7% for Long commute patients vs. 1.5% for Short; p < 0.001). However, telemedicine cancellation proportions did not significantly differ across groups (21.2% for Long, 13.3% for Medium, 17.0% for Short; p = 0.122), suggesting comparable telemedicine adherence regardless of distance. The proportions for in-person appointment utilization and cancellation were both greatest for the Short commute group. Conclusion Longer travel times are associated with increased appointment cancellations for rural patients, reinforcing travel burden as a key barrier to care. Telemedicine use increases with commute distance and demonstrates consistent adherence across groups, indicating its value as a tool to address rural healthcare gaps. These findings support the continued expansion of telehealth infrastructure to improve care for geographically isolated populations.

BackgroundHealthcare utilization forecasting systems are often derived from static, annualized market share assumptions that fail to represent real-world treatment dynamics. Such approaches systematically misestimate future utilization by ignoring longitudinal treatment sequencing, discontinuation with surveillance, recurrence-driven re-entry, and provider adoption dynamics. ObjectiveThis study proposes a reusable, governance-driven health informatics forecasting framework designed to generate realistic utilization forecasts using real-world data by integrating longitudinal patient-flow modeling, persistence-based exposure estimation, provider behavioral adoption, and multi-source calibration into a single architecture. MethodsLongitudinal U.S. administrative claims data representing oncology treatment populations (approximately 80,000 treated patients annually across therapy lines) were curated through a governance layer that refines diagnosis and treatment pools, infers clinically valid lines of therapy, and corrects for lookback-limited recurrence bias. Patients were modeled as transitioning across explicit clinical states, including treatment initiation, sequential therapy lines, discontinuation, surveillance, and recurrence-driven re-entry. Forecast outputs were calibrated using volume-weighted and behaviorally dampened provider adoption dynamics derived from primary research and claims-revealed utilization and evaluated against static share-based forecasts under identical peak-share assumptions. ResultsAcross multiple oncology contexts, longitudinal patient-flow-based forecasting recovered approximately 50-70% more cumulative treated months than static approaches. Underestimation in traditional models was driven primarily by failure to capture later-line persistence, surveillance exit, and re-treatment dynamics. Setting-specific calibration revealed earlier adoption in academic centers and slower, payer-constrained uptake in community practices. ConclusionsThe proposed framework demonstrates a forecast-oriented health informatics architecture that improves utilization estimation and decision support in complex, longitudinal care ecosystems. The methodology generalizes across tumor types and chronic conditions characterized by treatment sequencing, persistence variability, and relapse-driven re-entry.

BackgroundMultiple long-term conditions (MLTC) are increasingly common and place significant strain on healthcare systems designed around single-organ conditions, often resulting in fragmented and reactive care for people living with MLTC. There is limited understanding of how health care professionals (HCPs) make decisions for and with individuals with MLTC at the point of hospital presentation. This study examined how HCPs in emergency and acute settings make decisions around pathways and places of care for people with MLTC, exploring the factors that shape clinical judgement, the challenges HCPs navigate in practice and structures that influence clinical decision-making. MethodsWe conducted semi-structured, individual interviews with 40 NHS professionals working in emergency departments (EDs) and acute assessment units across multiple regions, roles, and specialties. Participants included consultant physicians, resident doctors, senior nursing staff and allied health professionals. Interviews focused on how decisions were made around referrals, admissions, and care planning for people with MLTC. Data were analysed thematically using an inductive approach. ResultsFour themes were identified: A journey of uncertainty, Within and beyond limitations, Structures of care and Implementing relational care. Clinical decision-making is shaped by clinical uncertainty, limited resources, care approaches, and interpersonal relationships and communication. Fragmented services and single-disease pathways complicate care, but participants highlighted the value of continuity, communication, and relational approaches. Challenges include resource limitations, rigid pathways and limited community support. Key enablers of clinical decision-making include integrated care, ownership, and early conversations about priorities. ConclusionsClinical decision-making by HCPs in hospitals for patients with MLTC is complex and shaped by systemic misalignment, where clinical realities clash with health system structures. Improving clinical decision-making around referrals, admissions and care planning for people with MLTC will require adapting systems and training to reflect the realities of MLTC. Potentially beneficial adaptations include strengthening relational and multidisciplinary approaches and expanding intermediate care to reduce avoidable admissions.