Journal of General Internal Medicine

Background: People with disabilities (PWD) represent over one-quarter of the US population and disproportionately experience chronic pain, yet limited research explores disparities they face in opioid use disorder (OUD) treatment. Objective: To examine disparities across disability status regarding opioid use disorder (OUD)-related outcomes and understand how chronic pain interacts with these associations. Methods: We completed a cross-sectional, secondary analysis of data from the All of Us Research Program, including 370,722 adults with electronic health record data available between January 2021-September 2023. We identified prevalence of disability, chronic pain, OUD, receipt of medications for OUD (MOUD), and OUD remission using diagnostic codes. We performed interaction analyses between chronic pain, disability subtype, and MOUD receipt in affecting OUD outcomes. Results: OUD was more common among individuals with physical (aOR: 2.74, 95% CI: 2.54-2.95), cognitive (2.19, 1.94-2.45), and multiple disabilities (2.43, 2.19-2.68), compared to those without disabilities. Among patients with OUD, those with physical disabilities were less likely to receive MOUD (0.81, 0.69-0.94). Compared to those without disabilities, chronic pain was associated with higher probabilities of OUD diagnosis and lower probabilities of MOUD and OUD remission across all subjects. These relationships were stronger for OUD diagnosis in cognitive disabilities, MOUD in multiple disabilities, and OUD remission in physical disabilities. Conclusions: Disability and chronic pain jointly shape disparities in OUD treatment and underscore the urgent need for care models that integrate OUD treatment with pain management and address the unique access challenges faced by people with disabilities.

Purpose: Nonresponse to routinely collected patient-reported outcome measures (PROMs) threatens the representativeness of aggregated data. We characterized patient-, provider-, and clinic-level factors associated with PROMIS Global-10 nonresponse in routine radiation oncology care. Methods: In this retrospective cohort study, all adults seen at five Mass General Brigham radiation oncology clinics over one year were included. The primary outcome was patient-level nonresponse, defined as never completing the portal-administered Global-10 versus completing it at least once. Using iterative mixed-effects logistic regression, we modeled patient-, provider-, and clinic-level factors. Results: Among 12,214 patients, 71 providers, and five clinics, patient- and appointment-level response rates were 35.4% and 10.9%, with patient-level response ranging nearly fivefold across clinics (12.8% to 66.2%). In Model 1, male sex, lower education, not working, and recent surgery had higher odds of nonresponse, and longer time since diagnosis lower odds. After provider- and clinic-level factors were added, patient sex, education, and employment became nonsignificant, whereas recent surgery (adjusted odds ratio [aOR] 1.97) and longer time since diagnosis (aOR 0.46 for >12 months) persisted. A provider's historical collection rate was protective but attenuated at the clinic level. There, a later program launch (aOR 0.29) and higher historical collection rate (aOR 0.79) correlated with lower nonresponse, whereas academic versus community setting did not. Conclusions: Nonresponse to routinely collected PROMs is a multilevel phenomenon driven substantially by clinic-level implementation factors, not patient characteristics alone. Because response rate is only a proxy for representativeness, PROMs programs and PRO-based performance measures should prioritize representative collection over volume.

Long-acting injectable (LAI) formulations of pre-exposure prophylaxis (PrEP) and medications for opioid use disorder (MOUD) offer promising new approaches for addressing the intersecting challenges of HIV and opioid use disorder (OUD) in carceral settings. However, successful implementation requires understanding the perspectives of key carceral and community stakeholders. This qualitative study involved 17 semi-structured stakeholder interviews including correctional staff (medical and administrative) and community healthcare providers. Participants were recruited from jails in Washington, DC and surrounding Maryland counties. Interviews were coded using a mixed inductive and deductive methodology, and data were analyzed to identify key themes. Four overarching themes relevant to implementation emerged: (1) The presence of resource barriers, including jail staffing shortages and financial constraints; (2) Challenges administering medications including stigma, medical mistrust, and limited patient knowledge of medications; (3) challenging and restrictive carceral infrastructure; and (4) the importance of care continuity during carceral-to-community transition. Stakeholders emphasized that while LAI PrEP and MOUD could provide critical support to justice-involved individuals, systemic barriers challenged successful implementation and delivery in jail and during community re-entry. Our findings underscore the need for targeted interventions to address the resource, medication, and infrastructure challenges identified. Ensuring sustainable funding, providing staff training and education, improving patient education, addressing stigma, and strengthening community linkages are essential for the successful implementation of LAI PrEP and MOUD in carceral settings. These insights can inform future policies and practices aimed at improving health outcomes for justice-involved populations.

Objectives People with mental health conditions experience increased rates of diagnostic errors and delays in acute treatment. While causes such as diagnostic overshadowing (misattribution of physical symptoms to mental health conditions) are well documented, less attention has been paid to the organisational and structural conditions that shape diagnostic work. This study examines how physical illness is diagnosed in patients with mental health conditions in emergency departments (EDs), with a focus on the structural conditions that enable or constrain safe diagnostic practice. Method We conducted a multi-site ethnography across three purposively selected EDs in England between April 2023 and April 2024, varying in size, population demographics, and local service configuration. Data were collected through 284 hours of non-participant observation and 20 semi-structured interviews with ED staff. Results Our analysis identified four recurring structural gaps that shaped the conditions under which physical health diagnosis took place for patients with mental health conditions: a design gap, whereby targets and physical layouts constrained diagnostic reasoning; a preparedness gap, reflecting the lack of structural support to allow staff to act on their existing knowledge and skills; a coordination gap, reflecting fragmented ownership and the challenges of joint assessment across mental and physical healthcare teams; and an expectation gap, whereby unmet need elsewhere in the system increased demand for ED services that were beyond its formal scope. These gaps made diagnostic errors and delay more likely for patients with mental health conditions seeking physical healthcare in the ED. Conclusions As new dedicated mental health EDs are introduced in England, there is an opportunity to avoid reproducing these structural gaps in new settings. Our study suggests that improving physical healthcare for patients with mental health conditions requires changes to how EDs are designed, resourced and supported, and how they connect with the wider health and care system. Keywords: mental health, diagnostic inequality, emergency departments

Introduction The COVID-19 pandemic profoundly disrupted healthcare delivery worldwide, with cancer care among the most affected services. Prior studies documented delays in referrals, reduced specialist access, and increased provider burden. However, the extent to which these experiences were reflected at the system level remains unclear. Objective To document cancer care experiences and examine whether these experiences were reflected in population-level health system indicators across Ontario, Canada. Methods We used an exploratory sequential mixed-methods design. Qualitative data were collected through focus groups and semi-structured interviews with 32 participants, including patients with cancer (n=8), caregivers (n=5), healthcare providers (n=14), and decision-makers (n=5) across two hospital settings in Ontario, Canada. Emergent themes informed the development of quantitative indicators. We then conducted a retrospective population-based analysis of linked administrative health databases for cancer patients in Ontario (n=87,786) to assess the prevalence of identified themes. Results Four themes emerged: (I) delays in diagnosis and screening; (II) disrupted access to primary care; (III) barriers to specialist and mental health services; and (IV) fragmented care for patients with multimorbidity. Quantitative findings corroborated major themes. Screening rates declined for cervical (64.8% to 57.5%) and breast cancer (64.5% to 57.2%). While in-person primary care shifted almost entirely to virtual modalities (8.5% to 95.4%), overall visit volumes remained stable. Specialist care showed uneven patterns, with increased oncology visits but declines in cardiology and mental health services. Patients with multiple comorbidities experienced the largest reductions in non-oncology specialist care. Conclusion The pandemic disrupted key components of cancer care, particularly screening, access to certain specialist services, and care for patients with complex needs. Integrating qualitative and quantitative evidence highlights areas of system vulnerability and underscores the need for coordinated, resilient cancer care capable of maintaining essential services during future crises.

Purpose: Serious Illness Conversations (SICs) are essential to delivering person-centered care for older adults with chronic conditions, but are rarely integrated into routine primary care. To address this gap, we compared the effectiveness of a structured training strategy versus passive dissemination of educational materials on SIC documentation rates during the COVID-19 pandemic. Methods: A quasi-experimental study across 13 primary care clinics in Quebec, Canada. Five clinics received structured team-based Serious Illness Care Program training (intervention group) with a provincially disseminated SIC toolkit and eight received the toolkit only (control group). The primary outcome was the proportion of patients with a documented SIC across three time periods (Period 1, pre pandemic; Period 2, pandemic initial wave; and Period 3, post dissemination of SIC toolkit). We used generalized estimating equations (GEE). Results: Across 13 clinics, 2,368 eligible patients (mean age 75.8 years (SD = 7.5), 54% female, with a mean Charlson Comorbidity Index of 4.88 (SD = 2)) accounted for 19,134 clinical visits, 49.5% in person and 49.6% virtually. SIC documentation rates were 3.3% (control) and 3.4% (intervention) in Period 1, 9.3% and 4.3% in Period 2, and 6.4% and 4.8% in Period 3, respectively. There was no statistically significant improvement to SIC documentation in the intervention group at Period 2 nor Period 3. Conclusion: Structured training was not more effective than passive dissemination for SIC documentation. Educational interventions must be supported by structural changes, workflow integration, and organizational leadership. Multi-level implementation strategies are needed to embed SICs sustainably into primary care.

Objectives Outpatient buprenorphine-naltrexone (bup-nx) treatment reduces overdose risk, yet many patients still return to use or disengage from treatment. We sought to understand how patients and prescribers experience and manage relapse risk, monitoring, and treatment agency in routine bup-nx treatment to identify gaps in current practice. Methods We conducted a qualitative needs assessment using semi structured, critical incident interviews with patients receiving outpatient bup-nx and prescribers who manage bup-nx treatment. Interviews examined situations involving relapse risk and empowerment in treatment decisions. We structured data collection and analysis using the Theoretical Domains Framework and COM B model to characterize determinants. Transcripts were coded deductively and inductively until code level saturation was reached. Results Participants (9 patients, 8 prescribers) described nine treatment needs mapped to the Capability, Opportunity, and Motivation components of the COM B model. These themes highlighted how patient agency in bup-nx treatment was constrained by physiologic and emotional states, with withdrawal, craving, pain, and distress often overriding longer term goals. Relapse vulnerability was experienced as dynamic and intensifying between visits, while clinical detection remained anchored to visit bound assessments, urine drug testing, refill patterns, and crisis driven contact, creating blind spots. Structural friction (pharmacy rules, insurance disruptions, transportation and housing instability), stigma from family and recovery communities, and motivational processes tied to fluctuating readiness and trust in monitoring further shaped engagement, disclosure, and dosing decisions; the same monitoring tools could either support honest disclosure or provoke concealment when perceived as punitive. Conclusions Relapse risk and agency in bup-nx treatment are negotiated as dynamic processes within structurally constrained and trust sensitive systems. Addressing the identified capability, opportunity, and motivation gaps will require patient centered, trust preserving approaches to monitoring and shared decision making.

Background Racial and ethnic minority populations face disproportionate rates of uncontrolled blood pressure (BP) and hypertension-related mortality. Remote hypertension monitoring (RHM) with active clinician-led medication titration has shown promise for improving BP control, but real-world evidence in majority-minority primary care settings remains limited. Methods This retrospective cohort study (January 2022-December 2024) enrolled adults with hypertension in a Bluetooth-integrated RHM program at a single urban academic primary care clinic. Of 550 patients enrolled, 503 with evaluable follow-up data were included. Patients transmitted daily home BP readings; clinicians reviewed readings monthly and titrated anti-hypertensive regimens per 2017 ACC/AHA guidelines. BP control was assessed at baseline and 3, 6, and 9 months. Factors associated with longitudinal BP control were examined using multivariable generalized estimating equations (GEE), with outcomes defined as strict control (<130/80 mmHg), at-least-moderate control (<140/90 mmHg), and uncontrolled (>140/90 mmHg). Results Among 503 participants (mean age 58.3 [SD 12.1] years; 63.6% African American; 52.9% male), BP control increased from 10.1% at baseline to 37.1% at 9 months. Each additional month of enrollment was associated with reduced odds of uncontrolled BP (adjusted odds ratio [aOR] 0.82; 95% CI, 0.80-0.85; P<.001). White race was associated with lower odds of uncontrolled BP versus African American race (aOR 0.57, at-least-moderate control; aOR 0.40, strict control; both P<.001). Male sex (aOR 1.46; P=.02) and congestive heart failure (aOR 2.09, strict control; aOR 2.05, at-least-moderate control; both P<.05) were associated with higher odds of uncontrolled BP. Conclusion Bluetooth-integrated RHM with active clinician-led medication titration was associated with a nearly 4-fold increase in BP control over 9 months in a majority-minority primary care population. Persistent within-program racial disparities underscore the need for equity-centered strategies beyond technology adoption alone. Prospective studies with concurrent usual-care comparators are needed to establish causal inference.

Background A small proportion of hospitalized patients generates a disproportionate share of inpatient admissions, bed-day utilization, and associated health expenditure globally. In Saudi Arabia, where Vision 2030 mandates measurable reductions in preventable hospitalizations and hospitals consume approximately 79% of public health expenditure, population-level evidence on inpatient frequent utilization is absent from the published literature. A key methodological limitation of existing studies is reliance on a single threshold that cannot distinguish acute high-frequency episodes from sustained multi-year hospital dependence. Methods A retrospective cross-sectional study analyzed electronic health records from three public hospitals in Jeddah - East Jeddah Hospital (EJH), King Abdul-Aziz Hospital (KAAH), and Thagher Hospital (TH) - for January 2022 to December 2024. Records from two clinical information systems (Oasis at KAAH and TH; Careware at EJH) were harmonized using an eight-stage data quality protocol applied to 258,391 raw encounters, yielding a final cohort of 82,160 unique patients and 100,685 valid inpatient visits. Three complementary definitions were applied: Frequent Utilizer (FU: >=3 admissions within any rolling 365-day window), Persistent Utilizer (PU: >=3 admissions with >=24 months between first and last), and Yearly Utilizer (YU: >=1 admission in each of 2022, 2023, and 2024). Analyses were conducted in JASP 0.95.4. Results FU prevalence was 2.96% (n=2,434), PU 0.60% (n=494), and YU 0.62% (n=507). Overlap analysis identified 177 compound utilizers (0.22%) satisfying all three criteria simultaneously, with a median of 7 admissions and 33.44 bed days - more than thirteen times the standard patient median. Compound utilizers had the youngest median age of any utilizer group (24 years), while Saudi nationality concentration rose progressively from 75.0% in standard patients to 87.6% in compound utilizers, and female predominance was highest in the persistence-defined groups (PU-only 62.9%, YU-only 63.6%). All three ANOVA models confirmed significant utilizer status x hospital interactions (all p<.001). Logistic regression confirmed age, Saudi nationality, and hospital as independent predictors across all definitions. A gender discrepancy - significant for males in FU Model 1 (OR=1.090, p=.039) but not Model 2 (p=.181) - was attributable to age confounding. Conclusions Approximately one in thirty-four inpatients meets the FU criterion in this Jeddah system, with significant between-hospital variation. The three-definition framework reveals clinically distinct utilization phenotypes invisible to any single threshold, including compound utilizers with extraordinary burden and unexpectedly young age, and persistent users entirely missed by annual-window definitions. Saudi nationality is the strongest and most consistent predictor across all definitions. Integrated clinical pathways connecting primary care and community services to hospital care, with shared accountability for quality across levels, are the recommended system response aligned with Vision 2030.

Abstract Background: Traditional occupational health models rely on simple binary classifications "burned out" versus "healthy" that mask the transitional phases of distress through which clinicians pass before reaching complete collapse. In resource-constrained acute care environments across sub-Saharan Africa, severe emotional exhaustion often represents a systemic baseline rather than an individual anomaly. This study moves beyond the burnout binary to identify multi-dimensional latent distress profiles and model the specific tipping points and biological pathways that drive overextended but empathy-preserved clinicians into complete clinical burnout. Methods: We conducted a secondary analysis of a cross-sectional dataset (N=135) capturing emergency medicine, anesthesia, and intensive care clinicians at Muhimbili National Hospital in Dar es Salaam, Tanzania. Using the Maslach Burnout Inventory-Human Services Survey (MBI-HSS), we categorized clinicians into five mutually exclusive latent profiles. Multivariable logistic regression identified independent tipping points for progression from isolated exhaustion to full burnout. Mediation analysis (Hayes PROCESS Macro, Model 4) examined the pathway through which extended shifts associate with burnout. Ethical clearance was obtained from the Muhimbili University of Health and Allied Sciences Research and Publication Committee (Ref. No. MUHAS-REC-6-2020-290), and all participants provided written informed consent. Results: Among 135 clinicians, 62.2% (n=84) met criteria for Fully Burned Out (high exhaustion, high cynicism, low personal accomplishment), 28.1% (n=38) were Overextended (isolated high exhaustion with preserved empathy and efficacy), and 9.6% (n=13) experienced Disengaged/Moderate Strain. Notably, 0.0% (n=0) met the criteria for the Resilient/Engaged profile. Within the exhausted cohort (n=122), multivariable modeling identified shift durations exceeding 12 hours (AOR 8.72, 95% CI [1.24, 61.15], p=0.012), poor coworker relationships (AOR 4.11, 95% CI [1.42, 11.90], p=0.009), sleep deprivation under 6 hours (AOR 4.25, 95% CI [1.74, 10.40], p=0.001), and lack of regular exercise (AOR 3.10, 95% CI [1.25, 7.68], p=0.015) as independent tipping points of collapse. Mediation analysis demonstrated that the link between extended shifts and burnout was fully mediated by sleep degradation (indirect effect ab=0.264, 95% CI [0.114, 0.458]). Conclusions: In low-resource acute care settings, emotional exhaustion is a universal baseline (90.4%) driven by severe systemic constraints rather than a failure of individual grit. The complete absence of a resilient cohort challenges the prevailing individual-level resilience paradigm. Drawing on the African philosophy of Ubuntu "I am because we are" this study demonstrates that collective team solidarity serves as the single strongest protective buffer against clinical collapse. Preventing clinical collapse requires structural policy shifts: capping shifts at 12 hours to protect biological rest, actively cultivating team solidarity as a workplace safety net, and investing in cadre-specific interventions that recognize the distinct vulnerabilities of nursing staff and trainees, who bear 80.9% of the burnout burden despite comprising 73.4% of the workforce.

Introduction: Primary care clinicians (PCC) commonly make decisions in the context of time delay and uncertainty. Delay discounting (DD) and probability discounting (PD) are cognitive biases related to delay and uncertainty that are minimally explored in PCC. We assessed DD and PD in PCC and evaluated their association with low-value care (LVC) decision-making. Methods: We administered a survey to PCC in a Southeastern U.S health system and within the American Academy of Family Physicians networks. The survey comprised standardized psychometric assessments of DD and PD and four LVC clinical vignettes. Outcomes included DD and PD discounting rates for two monetary rewards ($100 and $10,000) and ratings of LVC likelihood (0-100). We used regression analysis with model selection to evaluate the relationship between variables. Results: 225 PCC (89% physicians, 11% advanced practice providers) participated. Heterogeneity in DD and PD rates was observed. For the $10,000 reward, ln k(DD)= -6.80, IQR:-7.60--6.10) and ln h(PD)= 1.75, IQR:1.75-2.36). The reward amount impacted DD and PD in opposing directions (i.e., lower DD/higher PD rates for $10,000 vs. $100). LVC likelihood was highest for low-value antibiotics and lowest for low-value cervical cancer screening (median 20, IQR:10-40 and 0, IQR:0-10, respectively). Model selection revealed demographic associations with LVC likelihood, but no association with DD or PD. Conclusions: Consistent with effects previously reported in non-clinicians, PCC exhibited a range of DD and PD, which ranged by reward magnitude. Neither DD nor PD predicted vignette-based LVC likelihood. Further research should investigate actual clinical practice patterns and other LVC scenarios.

Septic shock caused by fungal organisms is characterized by high mortality and diagnostic complexity. We used the Premier Healthcare Database to characterize antifungal use and fungal diagnoses among adults with septic shock requiring vasopressors admitted between October 2022 through July 2024. Among 12.8 million admission at 886 hospitals, 554,948 met septic shock criteria and were included for analysis. A fungal diagnosis was established in 11,405 (2.1%) of encounters; of these, 3,565 (31.3%) received intravenous antifungal therapy within one day of vasopressor initiation. In the overall cohort, antifungal therapy was initiated in 29,824 (5.5%) within one day of vasopressor initiation; of these, 3,656 (12.2%) were ultimately diagnosed with a fungal infection. In the 116 hospitals reporting microbiological data, a subgroup of 489 encounters with septic shock and culture-confirmed candidemia was identified. In this subgroup, intravenous antifungal therapy was initiated in 43.8% within one day, 63.8% within three days, and 78.9% within seven days. These findings highlight a profound decoupling between fungal diagnosis and treatment--few patients receiving antifungals were diagnosed with an infection that would be treated by these agents, while less than half of patients with septic shock and candidemia received timely treatment. Strategies for greater precision in empiric antifungal use in septic shock are needed to improve safety, stewardship, and outcomes.

Background: Palliative care is recommended by clinical practice guidelines for patients with advanced heart failure (aHF), yet specialty palliative care (SPC) remains substantially underutilized in this population. We sought to quantify between-facility variation in SPC receipt among people with aHF and determine how much variation is explained by patient case mix and facility structural characteristics versus residual unmeasured factors. Methods: This retrospective cohort study included 23,991 Veterans with prevalent aHF identified through administrative data across 133 VA Medical Centers (VAMCs) with [&ge;]20 aHF cases, from January 2022 to December 2023. Variation was assessed using multilevel logistic regression with facility random intercepts, the intraclass correlation coefficient (ICC), and the adjusted median odds ratio (aMOR). Facility-specific risk-standardized SPC rates were used to estimate SPC encounters attributable to facility performance better or worse than the national rate. Results: Of the sample, the mean patient age was 72.3 years (SD = 10.0), and 97.6% were male. The national observed rate of SPC was 17.5%, with risk-adjusted rates varying approximately 14-fold across facilities (3.3% to 45.6%). The adjusted ICC was 11.5%, and aMOR was 1.87 (95% Confidence Intervals 1.70-2.06). Measured patient case-mix and facility structural characteristics explained only 18.9% of between-facility variation (proportional reduction in the ICC, fully adjusted vs. null model). Facilities performing better than the national rate delivered 791 more SPC encounters than expected (17.8%), while those performing worse than the national rate delivered 480 fewer encounters than expected (10.8%). Conclusions: In the context of a national mean rate of SPC that reflects substantial underuse, delivery varied 14-fold across VAMCs, with most variation unexplained by patient complexity or measured facility resources. These findings suggest that potentially modifiable organizational factors, beyond patient preferences or facility structures alone, may contribute to current utilization gaps and represent actionable targets for quality improvement.

Undergraduate research experiences offer important paths into scientific research careers, yet students do not experience them uniformly. For Black women, these experiences occur within racialized and gendered environments that may shape whether they perceive research careers as attainable. Yet little is known about these influences, including how mentors, role models, and institutional contexts, could support or limit Black womens beliefs about research career attainability. To advance our understanding of these influences, we conducted interviews with 23 Black women who participated in undergraduate research at 18 institutions in the United States, including historically Black colleges and universities (HBCUs) and predominantly White institutions (PWIs). We conducted qualitative content analysis to understand Black women undergraduate researchers perceptions of the attainability of a scientific research career, including the influences of their mentors, role models, and institutional context. Three main themes emerged. First, Black women undergraduates varied in the importance they placed on sharing racial and gender identities with mentors and role models; some viewed such similarities as highly meaningful while others described them as less influential. Second, Black women undergraduates described that mentors and role models who shared similar life experiences, values, attitudes, or beliefs contributed to perceptions that scientific research careers were attainable, regardless of gender or racial similarity. Third, institutional context (HBCU, PWI) shaped how mentoring and role modeling influenced Black women undergraduates perceptions of research career attainability. We conclude by offering recommendations for individuals seeking to support Black women in undergraduate research and in their pursuit of research careers.

Background: Healthcare has witnessed administrative staffing roles balloon to twice the number of employed clinicians, resulting in $950 billion per year in administrative costs to deliver healthcare. Administrative workflows, like fax routing, are ripe for automation given the high human labor cost necessary to complete these tasks. Facsimile transmissions remain a key mode of communication in modern healthcare, requiring substantial manpower, and incurring significant, though not well-characterized, costs to health systems. Opportunities may exist for agentic artificial intelligence (AI) to automate this administrative task. Methods: This quality improvement study was performed in 2 phases at Duke University's Division of Cardiology, a single tertiary-care cardiac referral center. The first retrospective phase employed an observational time study design surveying manual fax routing processes at 3 representative cardiology clinics from April 1, 2024, to July 12, 2024. The second phase quantified all inbound faxes received through the division's communication hub from July 1, 2025, to December 31, 2025, and applied direct labor costs observed in the time study to quantify the economic burden of manual fax routing across the hub. Results: The observational time study (Phase 1) demonstrated fax routing processing times ranging from 4.4 to 9.4 minutes depending on fax type, with a mean processing time of 6.0 minutes per fax. On average, the ambulatory clinics received 1,694 faxes per month and spent 169.1 person-hours routing faxes. The divisional communication hub (Phase 2) received 24,420 faxes over the study period, averaging 4,070 inbound faxes and 13,341 pages of information per month. Extrapolating direct labor efforts from the time study, 407 person-hours per month were spent processing inbound faxes. For our institution, this translated to $10,663.40 in total monthly costs, roughly 2.5 full-time equivalents. Conclusion: Manual fax routing represents a substantial, measurable, and previously under-characterized operational and administrative burden. Given the significant opportunity to reduce labor time and costs, our study establishes fax routing as a high-value target for automation. Future work is needed to determine the impact of AI-automated fax routing on the time, labor, accuracy, and economics within clinical settings.

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.

Introduction Postoperative analgesic management after minimally invasive cardiac surgery (MICS) should facilitate early recovery while providing adequate pain control. However, direct evidence comparing postoperative remifentanil- and fentanyl-based analgesic strategies after MICS remains limited. We compared these strategies and explored their associations with postoperative recovery, postoperative nausea and vomiting (PONV), and pain management. Methods This retrospective single-center observational cohort study included patients who underwent MICS via a right mini-thoracotomy between January 2023 and June 2026. Patients were categorized according to postoperative remifentanil- or fentanyl-based analgesia in the intensive care unit. Outcomes included time to extubation, PONV, postoperative pain assessed using the numerical rating scale (NRS), additional analgesic use, and intensive care unit length of stay. Multivariable logistic regression examined the association between postoperative opioid strategy and PONV, adjusting for age, sex, and smoking history. Results PONV occurred less frequently in the remifentanil group than in the fentanyl group (20.6% vs 45.0%, P = 0.004), and this association remained significant after adjustment (adjusted odds ratio, 0.23; 95% confidence interval, 0.10-0.56; P = 0.001). Time to extubation was shorter with remifentanil (median, 179 [interquartile range, 134-240.5] vs 247 [190.2-276.5] min; P < 0.001). In contrast, NRS pain scores on postoperative day 0 were higher with remifentanil (3 [1-6] vs 1 [0-2]; P < 0.001), and additional analgesics were used more frequently (80.6% vs 33.3%; P < 0.001). Pain scores on postoperative day 1 did not differ significantly between groups. Conclusion Postoperative remifentanil-based analgesia after MICS was associated with less PONV and earlier extubation but also with greater early postoperative pain and more frequent additional analgesic use than fentanyl-based analgesia. Appropriate transition to longer-acting analgesics with multimodal analgesia may help preserve the potential benefits of remifentanil while maintaining adequate postoperative pain control.

OBJECTIVES: Population aging is a major contributor to increasing demand for emergency medical services (EMS), yet EMS workforce projections based on population data remain limited. This study projected future EMS incident volume and clinician workforce requirements in Florida from 2026 to 2035 based on historical data on EMS response records to inform workforce planning. METHODS: We conducted a retrospective, population-based secondary analysis and forecasting study using de-identified state-wide emergency EMS response records from Florida's Emergency Medical Services Tracking and Reporting System (EMSTARS) spanning January 1, 2017 through December 31, 2025. Incidents were assigned to seven age cohorts and aggregated into monthly time series. We used Seasonal Autoregressive Integrated Moving Average models with exogenous inputs (SARIMAX) to project age and cohort-specific incident volume for 2026 through 2035. Projected future incident volumes were translated into EMT and paramedic full-time equivalent (FTE) requirements using observed EMSTARS staffing configurations and target operational parameters. RESULTS: Annual EMS incidents increased from 4.10 million in 2017 to 5.22 million in 2025 and are projected to reach 7.76 million by 2035, a 48.8% increase over the 2025 baseline. By 2035, adults aged 60 and older are projected to represent 31.2% of Florida's population while accounting for 61.6% of all EMS incidents. Total estimated EMS workforce requirements are projected to increase from 9,542 FTEs in 2025 to 14,195 FTEs by 2035, requiring approximately 4,654 additional FTEs (a 48.8% increase). CONCLUSIONS: Florida's aging population is projected to drive a nearly 50% increase in EMS incident volume and associated workforce requirements over the next decade, with demand disproportionately concentrated among older adults. With a substantial concentration of adults aged 80 and older and a rapidly expanding oldest-old cohort, Florida is confronting the demographic conditions projected to emerge in other states over the next decade. The findings offer researchers and policymakers a replicable framework and a directly applicable planning reference for jurisdictions across the United States.

Introduction Patients with nephrolithiasis face challenges in making a high-quality, preference sensitive decision. Our prior work established feasibility and patient acceptance of a software-based decision aid (DA). The objectives for this study were to identify implementation strategies for the DA in routine care and determine whether DA implementation enhances decisional quality for patients. Methods New nephrolithiasis patients were recruited from the institution Medical Center from June 2018 to April 2024 to receive a software-based pre-visit DA that measured care preferences and used decision analysis to rank treatments. The RE-AIM framework and Plan-Do-Study-Act (PDSA) cycles were used to improve implementation outcomes. Patients completed survey instruments evaluating decisional conflict, shared decision-making, care satisfaction, and treatment choice following their provider visit. These metrics were compared in the DA cohort (n=81) to those in a usual care cohort (n=78) with Wilcoxon rank-sum and Chi-square (or Fishers exact) tests. Results Implementation data revealed sustained reach and progressive improvement in fidelity. The DA cohort reported higher decisional quality relative to controls (p=0.003) and reported greater support/advice to make a choice (p=0.005). The DA cohort more often discussed options with their doctor (87.5% vs 69.2%, p=0.005) and were more likely to be promoters of their provider (p<0.001) and health system (p=0.029). The DA cohort was less likely to have switched their treatment preference post-consultation (32.1% vs 71.8%, p<0.001) suggesting greater consistency in decision-making. Conclusions Software-based DAs in nephrolithiasis can mitigate decisional conflict, improve SDM, and improve patient satisfaction. Further work should explore broader implementation and long-term clinical outcomes.

Background: Transition timing to post-acute rehabilitation after ischemic stroke is heavily influenced by non-clinical factors, introducing potential systemic disparities in care access. We evaluated the association between insurance payor status and acute hospital length of stay (LOS) prior to inpatient rehabilitation discharge among critically ill stroke patients. Methods: Using the MIMIC-IV database, we identified ICU-admitted adults with ischemic stroke discharged to inpatient rehabilitation (n=1,285). The primary outcome was hospital LOS prior to rehab transfer. Multivariable log-transformed linear regression evaluated the association with insurance payor (Medicare, private, other/unknown; reference: Medicaid), adjusting for demographics, diagnostic-code counts (medical complexity), and ICU LOS (acute illness severity). Results: Median hospital LOS before rehab discharge was longest for Medicaid patients (13.2 days) compared with private insurance (11.0 days) and Medicare (9.5 days). In the adjusted model, Medicare insurance was associated with a significantly shorter transition time to inpatient rehabilitation, corresponding to a 13.5% shorter acute hospital stay (adjusted LOS ratio 0.87; 95% CI: 0.79-0.96; p=0.005) relative to Medicaid. Private insurance demonstrated a descriptive trend toward shorter LOS that did not achieve statistical significance (adjusted LOS ratio 0.93; 95% CI: 0.84-1.02; p=0.122). Other and unknown payor categories showed no significant differences. Conclusions: Insurance payor status serves as an independent predictor of acute care transition timing for stroke patients requiring inpatient rehabilitation. The prolonged acute stays observed among Medicaid beneficiaries suggest significant non-clinical, administrative bottlenecks in post-acute placement, underscoring the critical need for standardized, streamlined insurance approval pathways to ensure equitable neurological recovery.