The scale of the investigation lends considerable weight to its conclusions. The research team examined the outcomes of more than 1.17 million patients treated at 143 for-profit and 798 nonprofit adult acute care hospitals across 10 states. By drawing on such a large patient population and a substantial share of hospitals in each ownership category, the researchers were able to compare mortality, readmission, and patient experience measures across ownership types while accounting for differences in nurse staffing, the factor that emerged as a central explanation for the quality divide. The findings suggest that the ownership structure of a hospital is not merely an administrative detail but a variable with tangible consequences for the people it treats.

The mortality differences were stark. Compared with nonprofit hospitals, for-profit hospitals recorded roughly 11 additional deaths per 1,000 medical admissions and 5 additional deaths per 1,000 surgical admissions. For medical patients, differences in nurse staffing were identified as a main explanation for the higher mortality observed in for-profit settings. In other words, a meaningful portion of the excess deaths was associated not with the complexity of the patients themselves but with the conditions under which nurses were working, particularly the number of patients each nurse was assigned to care for at one time. This distinction matters because staffing levels are, unlike many drivers of surgical outcomes, directly amenable to policy and management decisions.

Readmission rates told a parallel story. Thirty-day readmissions were 2.04 percentage points higher for medical patients and 1.76 percentage points higher for surgical patients at for-profit hospitals, which translates to roughly 20 additional readmissions per 1,000 medical discharges and 18 per 1,000 surgical discharges. Differences in nurse staffing accounted for 16 percent of the readmission gap among medical patients and 30 percent of the gap among surgical patients. Readmissions are widely used as a quality indicator because they often signal that a patient left the hospital without adequate recovery support, discharge planning, or in-hospital care that fully addressed their condition. The finding that staffing explains a substantial share of these differences points to a modifiable pathway through which hospital ownership may influence patient trajectories after discharge.

Patients themselves appeared to sense the difference. Individuals treated at for-profit hospitals rated their institutions lower overall than patients at nonprofit hospitals did, and worse nurse staffing accounted for the lower overall hospital ratings. Patient ratings are not simply measures of satisfaction with amenities or food; decades of research have linked patients’ assessments of their hospital care, particularly their confidence in nursing care, to objective outcomes including mortality and readmission. That patient perceptions aligned with the hard clinical endpoints in this study strengthens the argument that the staffing shortfalls documented by nurses were visible in the everyday experience of care.

The consequences for the nursing workforce were equally concerning. Nurses in for-profit hospitals reported markedly worse staffing conditions, with 71 percent saying their assigned patient workloads were not safe. Nurse burnout was significantly higher in for-profit hospitals, and nurses working in them were far less likely to recommend their hospital to family and friends, either as a place to receive care or as a place to work, because of concerns about poorer staffing. These findings matter beyond workforce statistics. Burnout and unsafe workloads are known drivers of turnover, and turnover compounds understaffing in a self-reinforcing cycle that can degrade care quality over time. A hospital that cannot retain experienced nurses faces rising costs and mounting risks to patients simultaneously.

Lead author Matthew D. McHugh, PhD, JD, MPH, RN, FAAN, the Independence Chair for Nursing Education, Professor of Nursing, and Director of the Center for Health Outcomes and Policy Research at Penn Nursing, as well as a Senior Fellow at the Leonard Davis Institute of Health Economics, framed the implications in pointed terms. Treating safe nurse staffing as a core component of quality rather than a discretionary operating expense is especially important where incentives to cut labor costs are strongest, he said. Minimum safe staffing requirements and ownership transparency are practical safeguards for patients and nurses, he added. The statement underscores the study’s central policy argument: because labor is one of the largest controllable expenses in a hospital budget, ownership models that prioritize profit margins have both the incentive and the opportunity to trim nursing resources, and the evidence suggests that some do.

The research was conducted with co-authors Karen B. Lasater, PhD, K. Jane Muir, PhD, Trissa Lyman, MPH, Angelo Petto, BSN, and Linda H. Aiken, PhD, several of whom are fellows of both the Center for Health Outcomes and Policy Research and the Leonard Davis Institute of Health Economics. The work was supported by the National Institute of Nursing Research of the National Institutes of Health under grant award numbers R01NR014855, T32NR007104, and R01NR021707. The study, titled Patient Outcomes and Nurse Understaffing in For-Profit Hospitals, carries the DOI 10.1097/MLR.0000000000002376 and is available open access, allowing clinicians, policymakers, and the public to examine the evidence directly.

The authors conclude that policies establishing minimum safe nurse staffing requirements and enhancing hospital ownership transparency could meaningfully improve patient, nurse, and hospital outcomes. Such conclusions carry particular relevance as state legislatures across the country debate mandated nurse-to-patient ratios and as regulators scrutinize private equity investment and corporate consolidation in health care. The study suggests that investments in nursing and state policies establishing safe staffing requirements are important and actionable mechanisms to ensure patient safety, nurse retention, and quality of care for patients regardless of the ownership type of their hospital. In practical terms, this means that the quality gap documented between for-profit and nonprofit hospitals is not an inevitability of ownership structure but a consequence of resource allocation decisions that regulation could influence.

The findings also connect to a growing body of research on hospital ownership and nursing investment, including a 2025 study by Muir and colleagues published in Medical Care showing that hospital ownership type correlated with investments in nursing services using evidence from Illinois. Taken together, this line of inquiry points toward a consistent conclusion: where the profit motive is strongest, nursing resources tend to be thinnest, and patient outcomes suffer as a result. For a health system grappling with nurse shortages, rising burnout, and intensifying corporate ownership of care delivery, the study offers a clear and testable proposition. Protecting staffing levels, whether through legislation, accreditation standards, or transparency requirements that let patients see how hospitals are resourced, may be one of the most direct levers available for improving the safety of American hospital care.

Subject of Research: The relationship between hospital ownership type, nurse staffing levels, and patient outcomes in US acute care hospitals

Article Title: For-profit hospitals linked to worse patient outcomes and nurse staffing shortfalls, new Penn Nursing study finds

Article References: For-profit hospitals linked to worse patient outcomes and nurse staffing shortfalls, new Penn Nursing study finds. (n.d.). Original publication

Image Credits: AI Generated

DOI: Not provided

Keywords: for-profit hospitals, nurse staffing, patient outcomes, mortality, readmissions, hospital ownership, nurse burnout, Penn Nursing, Medical Care, health policy, patient safety, staffing requirements

The scale of that figure becomes clearer when placed in context: $441 million approaches nearly twelve percent of the proposed fiscal year 2027 budget for the National Heart, Lung, and Blood Institute, the federal agency that funds much of the nation’s cardiovascular research. In other words, the money currently absorbed by preventable postoperative infections in a single insurance program rivals a substantial share of what the country invests in studying heart disease itself. The researchers argue that this gap represents not an intractable clinical challenge but a national opportunity to improve recovery and lower costs simultaneously.

To reach these conclusions, the team examined Medicare claims from nearly 240,000 cardiac surgery procedures carried out at approximately 1,000 hospitals between 2018 and 2023. Claims data allowed the investigators to track which patients were diagnosed with, and treated for, different categories of infection during the 180 days following their operations. This window matters because the danger of infection after cardiac surgery does not end at hospital discharge. About one in five patients develops an infection in the months following the procedure, with urinary tract infections, pneumonia, and sepsis among the most common complications. Sepsis, the body’s runaway inflammatory response to infection, is particularly consequential, since it can cascade into organ dysfunction and prolonged intensive care.

The study’s central finding is the sheer width of the variation. Hospitals in the highest infection group experienced more than twice as many infections as the best-performing institutions, a difference that persisted after the researchers statistically adjusted for differences in the patients each hospital treated and the procedures each performed. That adjustment is critical, because it addresses the most common objection to hospital comparisons: that some centers simply take on sicker, higher-risk patients. The persistence of the gap suggests that institutional factors, including surgical technique, perioperative protocols, antibiotic timing, wound care practices, and post-discharge monitoring, play a decisive role in outcomes.

The consequences of elevated infection rates ripple well beyond the infections themselves. Hospitals with higher infection rates also recorded higher rates of stroke, hospital readmission, and death up to six months after surgery. The financial toll was equally striking: procedures performed at hospitals in the highest infection group were associated with nearly $16,000 more in Medicare spending during the six months after surgery than identical procedures performed at hospitals in the lowest infection group. That figure captures not only the direct cost of treating infections but the downstream expenses of extended admissions, additional procedures, rehabilitation, and repeat hospitalizations that complications set in motion.

Using benchmark modeling, a technique that projects what would happen if all institutions performed at the level of the top performers, the research team estimated the national savings potential. Bringing hospitals with average and high infection rates in line with the best performers could prevent about 2,600 infections per year and reduce annual Medicare spending by as much as $441 million. Benchmarking of this kind is widely used in quality improvement research because it frames performance gaps not as a criticism of individual hospitals but as a measurable, addressable distance between current practice and demonstrated best practice.

One of the study’s more sobering discoveries concerns where these infections are actually detected. More than one-quarter of postsurgical infections were identified when patients were readmitted to a hospital different from the one where their surgery took place. The researchers point to this pattern as evidence of fragmented care. When patients receive follow-up treatment across multiple healthcare systems, their complete medical history may not travel with them, making complications harder to prevent, recognize, and manage in time. An infection brewing in a surgical wound may be caught late, or its early warning signs may be missed entirely by clinicians who did not perform the original operation and lack access to its details.

The findings echo earlier work by some members of the same research group. A previous study found that better care coordination for patients undergoing coronary artery bypass grafting, the heart bypass operation commonly known as CABG, could save an estimated $130 million annually in hospital readmission costs alone. Taken together, the two studies sketch a consistent picture: the recovery period after cardiac surgery is a vulnerable interval in which the quality of transitions between hospitals, clinics, and home care determines both patient outcomes and financial costs. Co-senior author Donald S. Likosky, the Richard and Norma Sarns Research Professor in Michigan Medicine’s Department of Cardiac Surgery, emphasized that a combination of hospital-based prevention strategies and effective transitions of care throughout the recovery period is needed to close the gap.

Co-senior author Francis Pagani, the Otto Gago MD Endowed Professor in Cardiac Surgery at the University of Michigan Medical School, framed the variation as a roadmap rather than an indictment. By understanding where practice patterns differ, he noted, researchers can better identify what drives the best outcomes and apply those approaches more broadly, providing consistent, high-quality care for every patient regardless of which hospital they enter. Co-first author Ahmad M. Hider, a National Clinician Scholar at the University of Michigan Institute for Healthcare Policy and Innovation and a general surgery resident at the University of Colorado, described reducing infections after cardiac surgery as a national opportunity to improve recovery and lower Medicare spending, underscoring the need to understand why some hospitals achieve better results and how best practices can be disseminated across the country.

The study was supported by the Agency for Healthcare Research and Quality, and the authors acknowledged the support of the Michigan Society of Thoracic and Cardiovascular Surgeons Quality Collaborative along with Blue Cross and Blue Shield of Michigan and Blue Care Network, which participate in the BCBSM Value Partnerships program. Additional contributors included co-first author Reem Nasser, a University of Michigan undergraduate and member of Michigan Medicine’s Undergraduate Research Academy, along with Chiang-Hua Chang, Shiwei Zhou, Thomas M. Braun, Robert B. Hawkins, Geoffrey D. Barnes, Michael P. Thompson, Timothy C. Guetterman of the University of Michigan, and Russell J. Funk of the University of Minnesota. As an observational study, the analysis identifies associations rather than proving causation, and the authors note that their conclusions do not reflect the views of AHRQ or the Department of Health and Human Services. Still, the message for patients, clinicians, and policymakers is difficult to ignore: the difference between a smooth recovery and a complicated one after heart surgery may depend as much on where the operation is performed and how care is coordinated afterward as on the surgery itself.

Subject of Research: Hospital variation in postoperative infections and Medicare spending after cardiac surgery in the United States

Article Title: Reducing infections after heart surgery could save Medicare $441 million per year

Article References: Reducing infections after heart surgery could save Medicare $441 million per year. (n.d.). Original publication

Image Credits: AI Generated

DOI: Not provided

Keywords: cardiac surgery, postoperative infection, Medicare spending, hospital quality variation, sepsis, pneumonia, care coordination, hospital readmission, benchmarking, health policy, coronary artery bypass grafting, patient outcomes

The central finding across all three investigations is that well-constructed clinical decision support tools can nudge clinicians toward evidence-based decisions without slowing them down. In the emergency department study, the research team evaluated a tool designed to help clinicians select an appropriate dose of an intravenous loop diuretic for patients arriving with acute decompensated heart failure. This class of medication removes excess fluid that accumulates when the failing heart cannot maintain adequate circulation, allowing the heart to pump more effectively and relieving the profound shortness of breath that drives these patients to seek emergency care in the first place. Clinical guidelines recommend that patients with acute decompensated heart failure receive at least twice the dose of diuretics they take at home when they arrive in the emergency department, a bolus strategy intended to achieve rapid decongestion. In practice, however, the relentless demands of a busy emergency department make it difficult for clinicians to quickly review home medication lists and adjust diuretic therapy accordingly, and recommended dosing is frequently missed.

To address this gap, the University of Michigan team implemented an interruptive alert within the electronic health record that fired when a patient showed signs of fluid overload or kidney dysfunction, prompting the treating clinician to consider guideline-recommended diuretic dosing. The alert was triggered in 223 patient encounters at the U-M Health Emergency Department. In nearly three-quarters of those cases, clinicians followed the recommended diuretic dosing after the alert appeared. Critically, the tool accomplished this without creating the kind of delay that often undermines the adoption of decision support systems: the median time from arrival at the emergency department to diuretic administration was roughly two hours in both groups, meaning the alert influenced the content of the treatment decision rather than its timing.

The researchers were careful to note the limits of what the study demonstrated. The investigation did not assess whether following the digital alerts improved downstream patient outcomes such as the amount of fluid removed or the length of hospital stay. Even so, the results establish something foundational for the field: the tools are easily used in a real clinical setting and measurably affect treatment decisions. As Sarah Adie, Pharm.D., a clinical cardiology pharmacy specialist at U-M Health and an author on all three studies, explained, this is a critical first step toward broad clinical adoption in settings that treat critically ill cardiac patients. Demonstrating feasibility and behavioral impact in a live emergency department environment is a prerequisite for the larger outcome trials that would justify deployment across many institutions.

The second study shifted the setting to the intensive care unit and examined sedation practices in more than 1,600 patients receiving mechanical ventilation in the cardiac and medical intensive care units. Deep sedation is common in intensive care, but leading cardiac and critical care society guidelines favor limiting its use, because prolonged heavy sedation may contribute to worse outcomes, including prolonged ventilator dependence and longer recovery. Changing sedation practice, however, is notoriously difficult, since it requires coordinated action from both physicians and nurses at the bedside, often under time pressure. The research team introduced an electronic health record-based intervention that encouraged the care team to use lighter sedation, surfacing the recommendation at the moment sedative decisions were being made.

The results were striking. After implementation, the average amount of time patients spent deeply sedated during the first 48 hours after intubation dropped in the cardiac intensive care unit from 16.8 hours to 12.4 hours, a reduction of more than four hours per patient. Nurses also reduced the continuous dose of commonly used sedatives, including fentanyl, propofol, midazolam and dexmedetomidine, in 23 percent of cases when the electronic health record generated an alert. These figures suggest that a well-timed digital prompt can shift entrenched practice patterns in an environment where clinicians are managing multiple simultaneous demands. As Anna Barker, M.D., Ph.D., a pulmonologist at University of Michigan Health and senior author of the light sedation paper, emphasized, the alerts are not designed to replace clinical judgment; rather, they are a tool delivered at high-pressure moments to assist clinicians with evidence-based guidance.

The third study tackled one of the most treacherous diagnostic challenges in cardiology: normotensive cardiogenic shock. This condition occurs when the heart cannot pump enough blood to the organs even though the patient’s blood pressure remains normal. Because cardiogenic shock is classically associated with low blood pressure, clinicians may fail to recognize that a normotensive patient is already in shock, and delays in diagnosis can be life threatening. The researchers implemented an electronic health record alert that identified patients displaying additional physiological signs of normotensive cardiogenic shock, such as subtle markers of hypoperfusion that might otherwise be overlooked, and facilitated direct communication with the shock team in the cardiac intensive care unit.

Clinicians engaged with the alert in 14 percent of cases, and those engagements were linked with higher rates of cardiac intensive care unit consultation within 12 hours. While the engagement rate may appear modest, the study illustrates a different design philosophy from the diuretic and sedation alerts: rather than prompting a medication decision, this alert functioned as a recognition and escalation tool, bridging the gap between a bedside clinician who may not suspect shock and a specialized team equipped to deploy advanced therapies. In conditions where early specialist involvement changes the trajectory of illness, even a low-frequency, high-value alert can be clinically meaningful.

Taken together, the three studies map how targeted electronic health record alerts can assist clinicians across the continuum of critical cardiac care, from the first hours in the emergency department through intensive care management. The design of each intervention differed according to the clinical problem. In the emergency department, the tool offered patient-specific recommendations at the moment the diuretic order was placed, embedding the guideline directly into the ordering workflow. In the two intensive care unit studies, alerts prompted clinicians to limit deep sedation or to escalate suspected shock cases to specialized critical care teams. In each case, the intervention respected the existing workflow rather than adding parallel tasks, which the researchers identify as a key principle: these clinical decision support tools are most useful when they help clinicians make the right decision in the moment, rather than adding more noise to already busy workflows, as Scott Ketcham, M.D., a cardiologist at the University of Michigan Health Frankel Cardiovascular Center and an author on all three studies, observed.

The researchers describe the work as proof of concept, and they are explicit that more must be done to ensure electronic alerts are beneficial without disrupting clinical workflow. Alert fatigue remains one of the most persistent problems in health information technology, as clinicians bombarded with low-value notifications learn to dismiss them reflexively, undermining even genuinely useful tools. The Michigan studies suggest a path forward: alerts that are triggered by specific clinical signals, deliver a single actionable recommendation, and arrive at the exact moment a decision is being made. The next step, according to Ketcham, is to evaluate these interventions across multiple health systems to better understand their impact on patient outcomes and determine how they can help improve the care of critically ill cardiac patients nationwide. If those multi-center evaluations confirm what these early studies hint at, the electronic health record, long criticized as a source of friction, may earn a new role as an active partner in the care of the sickest patients with heart disease.

Subject of Research: Electronic health record clinical decision support alerts for critically ill cardiac patients

Article Title: Digital alerts support timely treatment decisions of critically ill cardiac patients

Article References: Digital alerts support timely treatment decisions of critically ill cardiac patients. (n.d.). Original publication

Image Credits: AI Generated

DOI: Not provided

Keywords: electronic health records, clinical decision support, acute decompensated heart failure, diuretics, cardiac intensive care, sedation, cardiogenic shock, emergency department, ventilators, alert fatigue, Michigan Medicine, patient outcomes

The research team, led by Sarah Jane Smith of the Centre for Dementia Research at Leeds Beckett University, recorded consultations involving ten clinicians, twenty-nine patients and thirty-two relatives or supporters. This is a technically demanding kind of study to pull off. Recording real clinical encounters requires ethical approval, patient consent and careful handling of sensitive moments in people’s lives, and the study was approved by the National Research Ethics Service committee for Yorkshire and The Humber in March 2021, with adaptations for verbal and audio-recorded consent during the COVID-19 pandemic. Once recorded, the consultations were subjected to content analysis, a systematic method in which researchers code the talk against predefined categories to identify patterns in what is communicated, how often, and in what form. The approach allows researchers to move beyond anecdote and quantify precisely how treatment information is being delivered in routine practice.

The most consistent finding concerned how benefits were presented. In twenty-six of the twenty-nine consultations, clinicians framed the purpose of dementia medication as symptom management, and within that framing the dominant emphasis was on memory and cognition. That makes clinical sense, because the pharmacological treatments available for dementia, such as the cholinesterase inhibitors commonly prescribed for Alzheimer’s disease, are licensed to treat symptoms rather than to halt the underlying neurodegenerative disease. Yet the consistency ended there. In only thirteen of the twenty-nine consultations did clinicians explicitly state that the treatment was not curative, meaning that in more than half of the encounters patients may have left the room without a clear verbal statement that the drug could not stop or reverse their condition.

More surprising still was the language used to describe what the drugs might achieve beyond symptoms. In roughly one third of consultations, clinicians at some point suggested that treatment might be disease modifying, a claim that overstates the established evidence base for currently licensed dementia medications. Around half of the consultations referred to symptom reduction or delay. The researchers characterise this overall pattern as positive framing of treatment benefits, and the technical concern underlying it is well recognised in health communication research: when clinicians use leading or optimistic language about a therapy’s effects, patients can develop expectations that outstrip what the evidence supports, which in turn complicates decisions about continuing or stopping medication when benefits fail to materialise.

Side effects, by contrast, were discussed almost universally, appearing in twenty-six of the twenty-nine consultations. But the manner of that discussion revealed its own patterns. Clinicians frequently deployed verbal qualifiers, small linguistic hedges that signal the certainty or likelihood of an effect, such as indicating that something happens only occasionally or might occur. Qualifiers are not inherently problematic; they are a natural way of conveying probability in everyday speech. The difficulty arises when they are applied inconsistently, because a patient hearing that a side effect is possible in one consultation and unlikely in another receives materially different information about the same drug.

Perhaps the most consequential finding was how side effects were characterised when they were raised. The study found that the side effect profile was commonly described in minimising terms, presented as not serious or downplayed relative to the potential benefits. For patients and families weighing whether to start a medication, this framing matters enormously. Nausea, loss of appetite, vivid dreams and other recognised effects of dementia drugs can be distressing enough to prompt discontinuation, and a patient who has been told the effects are minor may feel misled when they experience them. The authors also note that explicit discussions weighing risks against benefits, the kind of balanced deliberation that shared decision-making ideally requires, occurred in only half of the consultations.

There was at least one area where communication fell short in a more mechanical way. In thirteen consultations, clinicians explained how the treatments actually work, the mechanism of action, and in eight of those the explanation was delivered in a patient-friendly way. That means fewer than a third of all consultations included an accessible account of the drug’s mechanism. For a population in which cognitive impairment is the defining feature, understanding how a medication is supposed to act is not a luxury; it is foundational to adherence, to monitoring for effects, and to making sense of follow-up appointments where treatment continuation is decided.

The variability the researchers documented is not simply a matter of individual clinician style. Because the consultations took place across two NHS Trusts with ten different clinicians, the inconsistency suggests an absence of shared standards for how dementia treatment information should be conveyed. The authors respond with three concrete recommendations. First, clinicians should exercise caution about using leading language that frames benefits optimistically without evidential warrant, including suggestions that drugs may modify the disease. Second, communication about both benefits and side effects should be consistent and transparent, so that patients receive comparable information regardless of which clinician they see. Third, evidence-based patient decision aids should be employed where appropriate, giving patients structured, balanced written or visual support to complement the spoken consultation.

The stakes of getting this right are considerable. Decisions about whether to take dementia medication are made at a moment when patients and families are absorbing a life-changing diagnosis, and the study’s authors point out that these discussions have a direct impact on the decision to take treatments, on understanding of the medications, and on adherence over time. A patient who believes a drug will slow their disease may persist with it despite troublesome side effects and no perceived benefit; a patient who was never told the treatment is not curative may face that realisation later without clinical support. Communication in the consultation is, in effect, the first dose of the treatment.

The research, funded by the National Institute for Health and Research through its Research for Patient Benefit programme, was strengthened by involvement from a patient and public involvement panel at the Centre for Dementia at Leeds Beckett. Its publication comes at a moment of intense public interest in dementia therapeutics, as new disease-modifying therapies enter clinical discussions worldwide and the pressure on memory clinics to communicate complex evidence grows. What this study demonstrates is that the infrastructure for those conversations, the everyday language of benefit and risk exchanged between doctor and patient, remains uneven. Standardising it, the authors argue, through guidance and decision aids, is a practical and achievable step toward ensuring that every patient with dementia receives the same honest, balanced account of what treatment can and cannot do.

Subject of Research: How clinicians communicate the benefits and side effects of dementia medications to patients in memory assessment clinics

Article Title: How do doctors discuss dementia treatments with patients? Content analysis of the presentation of treatment information, benefits and side effects

Article References: Smith, S. J., Griffiths, A. W., Knapp, P., Dickinson, R., Dooley, J., Russell, G., & Kelley, R. (2026). How do doctors discuss dementia treatments with patients? Content analysis of the presentation of treatment information, benefits and side effects. BMC Health Services Research. https://doi.org/10.1186/s12913-026-15657-x

Image Credits: AI Generated

DOI: 10.1186/s12913-026-15657-x

Keywords: dementia, health communication, shared decision-making, pharmacotherapy, memory clinics, content analysis, side effects, patient outcomes, geriatric care, NHS, informed consent, clinical consultation

That procedure is the lumbar puncture, a technique neurologists perform routinely to sample cerebrospinal fluid for the diagnosis of infections, inflammatory diseases, and a host of other neurological conditions. In an editorial published online in the journal Neurology Education, corresponding author Daniel Harrison, MD, assistant professor of neurology at the school and a neurointensivist at Boston Medical Center, together with his colleague, makes the case that empowering neurologists and neurology trainees to perform ultrasound-assisted lumbar punctures at the bedside is a worthwhile goal. The editorial reviews a study by Grubman et al. that evaluated the possible benefits of the technique in neurology, analyzed previous work in other fields, and described future steps toward more widespread adoption.

The technical logic behind ultrasound guidance for lumbar puncture is straightforward. Traditionally, the procedure relies on anatomical landmarks: the clinician palpates the patient’s spine, identifies the spaces between vertebrae by touch, and inserts a needle into the dural sac to collect fluid. This blind approach works well in many patients, but it can fail in those whose anatomy makes landmarks difficult to identify, including patients with obesity, spinal deformities, or severe degenerative back disease. Failed attempts mean repeated needle insertions, prolonged discomfort, referrals for fluoroscopic or computed tomography guidance, and, critically, delays in diagnosis. Ultrasound changes the equation by allowing the operator to visualize the spinous processes, interspinous spaces, and depth to the dural sac before the needle ever breaks the skin.

Evidence from other specialties suggests the payoff is real. Harrison notes that when studied in other fields, ultrasound-assisted lumbar puncture has resulted in increases in overall and first-pass success rates, with reductions in patient-reported pain scores and possible rates of complications. Anesthesiologists and emergency physicians, who regularly perform neuraxial procedures such as epidural injections and spinal anesthesia, have accumulated much of this evidence. The editorial is candid, however, about a key limitation: data supporting the use of this technique specifically by neurologists and neurology trainees remain limited. Training in point-of-care ultrasound for head, eye, and nerve conditions is improving, but the technology is only moderately used by neurologists managing some neurological conditions, and procedure guidance has not yet become a standard part of the specialty’s toolkit.

The stakes of delay are not abstract. Harrison points to meningitis as a prime example, noting that there is an established association between time to treatment and patient outcomes in that condition. When a patient presents with suspected bacterial meningitis, cerebrospinal fluid analysis is often essential to confirm the diagnosis and guide antimicrobial therapy. Every failed lumbar puncture attempt, every transfer to another service for image-guided sampling, adds time to a clock that is directly linked to morbidity and mortality. The ability of a neurologist or trainee to complete the procedure successfully at the bedside, on the first attempt, with ultrasound assistance, could therefore translate into measurably better outcomes for the sickest patients.

Harrison and his colleague argue that the benefits of ultrasound assistance may be even more pronounced in patients who are overweight or have difficult anatomy. Considering the available data, they suggest that patients who seem most likely to benefit, for example those with the highest body mass indices or severe back disease, should always have lumbar punctures performed with ultrasound assistance, regardless of the discipline of the specialist performing the procedure. This recommendation effectively reframes ultrasound guidance not as an optional refinement but as a standard of care for a defined, high-risk subgroup, a position that, if adopted widely, would have significant implications for training programs and hospital equipment allocation alike.

The editorial also emphasizes that the educational infrastructure for implementation already exists. As Harrison explains, the field knows which competency-based educational tools can be leveraged to maximize the chances of successful implementation in neurology. Point-of-care ultrasound education in other specialties has matured into a well-defined pedagogy, with milestone-based progression, hands-on simulation, supervised scanning, and formal competency assessment. The ACGME’s designation of point-of-care ultrasound as an official graduation milestone in multiple specialties provides a ready-made template that neurology residency programs could adapt, integrating probe skills, image interpretation, and procedure guidance into existing curricula rather than building an educational framework from scratch.

What is missing, according to the researchers, is the kind of evidence that would convince specialty leaders and hospital administrators to invest. The editorial calls for controlled multicenter studies focusing on higher-level outcomes such as trainee performance, patient outcomes, and health care or implementation costs. Such studies would test whether the successes documented in other specialties genuinely translate to neurology, where patient populations, procedure settings, and trainee experience differ. Cost-effectiveness data would be particularly persuasive, since portable ultrasound units represent a capital expense, and departments will want evidence that reduced procedure times, fewer failed attempts, and fewer referrals for image-guided puncture offset the investment.

The editorial’s appearance in Neurology Education is itself meaningful, because it places the argument before the audience best positioned to act: the educators who design residency and fellowship curricula. The Grubman et al. study that the editorial reviews represents an early step in building the neurology-specific evidence base, evaluating the possible benefits of ultrasound-assisted lumbar puncture in the specialty and mapping the path toward broader adoption. If subsequent multicenter trials confirm the pattern seen in other fields, the combination of existing educational tools, clear clinical rationale, and a defined high-benefit patient subgroup could accelerate adoption faster than is typical for new procedural techniques.

For now, the editorial stands as a call to action grounded in cautious optimism. The technique is not new, the supporting evidence from adjacent specialties is substantial, and the clinical scenarios where it matters most, from suspected meningitis to the patient whose body habitus defeats landmark-based approaches, are familiar to every practicing neurologist. What remains is the deliberate work of training, assessment, and study that would turn bedside ultrasound-guided lumbar puncture from an emerging idea into an expected skill. As Harrison and his colleague conclude, empowering neurologists and neurology trainees to perform lumbar punctures at the bedside in the interest of swift diagnosis and treatment is a goal worth pursuing, and the tools to achieve it are already within reach.

Subject of Research: Ultrasound-assisted lumbar puncture training and adoption in neurology

Article Title: Editorial deems empowering neurologists and neurology trainees to perform lumbar punctures at bedside a worthwhile goal

Article References: Editorial deems empowering neurologists and neurology trainees to perform lumbar punctures at bedside a worthwhile goal. (n.d.). Original publication

Image Credits: AI Generated

DOI: Not provided

Keywords: point-of-care ultrasound, lumbar puncture, neurology education, medical training, bedside procedures, meningitis, ACGME milestones, neurology trainees, ultrasound guidance, Boston University School of Medicine, patient outcomes, Editorial

The editorial is authored by senior author Eileen T. Lake, the Edith Clemmer Steinbright Professor in Gerontology, Professor of Nursing and Sociology, and Associate Director of the Center for Health Outcomes and Policy Research, together with Domenique Villani, a predoctoral fellow at the center, and Ysabella Perez, a recent Penn graduate and research assistant at the center. Their central argument is straightforward but consequential: building genuine climate resilience into the health system requires ensuring that bedside nurses have the organizational capacity and the material resources needed to deliver timely care and continuous surveillance during heat events, when patient volumes can spike suddenly and patient conditions can deteriorate rapidly.

The physiological rationale behind this argument is well established in clinical medicine. Extreme heat places severe stress on the human body, particularly the cardiovascular system, which must work harder to dissipate heat through increased blood flow to the skin. In vulnerable populations, including older adults, people with chronic cardiovascular or respiratory disease, patients taking medications that impair thermoregulation, and those with limited access to cooling, prolonged heat exposure can progress from heat exhaustion to life-threatening heat stroke. Heat stroke is a medical emergency characterized by core body temperatures above roughly 40 degrees Celsius and central nervous system dysfunction, and it can trigger a cascade of complications including rhabdomyolysis, acute kidney injury, coagulopathy, and multi-organ failure. Surviving such a cascade depends heavily on early recognition and rapid, sustained intervention.

This is precisely where nursing care becomes decisive. The editorial emphasizes that the management of heat-related illness requires immediate and resource-intensive nursing surveillance to prevent complications and to catch the signs of rapid patient deterioration before they become irreversible. Continuous monitoring of vital signs, fluid balance, electrolyte status, and neurological function is the daily work of bedside nurses, and during a heat wave the volume of patients needing this level of attention can rise sharply at exactly the moment when a hospital’s workforce is under maximum strain. Nurses themselves are also exposed to the same environmental conditions, and heat events can affect staff wellbeing and performance, adding another layer of pressure on the workforce during surges.

The authors warn that insufficient staffing and inadequate organizational support can severely limit a health system’s ability to deliver standard-of-care treatments during the sudden volume surges that heat waves produce. A hospital may have the physical beds, the cooling capacity, and the IV fluids to handle an influx of heat-affected patients, but if there are not enough nurses to perform the frequent assessments, administer cooling protocols, titrate fluids, and escalate deteriorating patients to higher levels of care, the theoretical surge capacity fails in practice. In this sense, the editorial reframes nurse staffing not as a cost line to be minimized but as a functional limit on how much emergency care a hospital can actually deliver when environmental disasters strike.

The argument rests on a substantial body of research from the Center for Health Outcomes and Policy Research and collaborators, which has repeatedly demonstrated that the ratio of patients to nurses and the quality of the nurse work environment are associated with patient outcomes including mortality, failure to rescue, lengths of stay, and rates of complications. Studies in this tradition have shown that hospitals with better work environments, characterized by adequate staffing, strong nurse-physician relationships, nurse participation in decision-making, and supportive management, achieve better outcomes even at similar staffing levels. Extending this evidence base to climate-driven emergencies is a natural progression, and it suggests that the organizational features that protect patients in ordinary times become even more critical when the system is stressed by a heat crisis.

Looking forward, the editorial does not stop at diagnosis. It outlines actionable recommendations across four domains: research, education, practice, and policy. On the research side, the authors call for studies that specifically examine how staffing and work environment characteristics shape outcomes during heat events, filling a gap in the disaster preparedness literature that has traditionally focused on infectious disease outbreaks, mass casualty trauma, and hurricanes. On education, the implication is that nursing curricula and continuing professional development should prepare clinicians to recognize and manage heat-related illness and to understand the systems-level factors that determine whether such care can be delivered effectively during a surge.

In the domain of practice, the editorial urges health system leaders to incorporate nurse staffing and workplace environment investments directly into disaster preparedness planning, rather than treating workforce questions as separate from emergency management. Concretely, this could mean including staffing models in heat response plans, ensuring that nurses have the equipment and authority to implement cooling and monitoring protocols efficiently, and designing work environments that protect staff as well as patients during extreme temperatures. On the policy front, the authors’ message is directed at regulators, accreditors, and hospital administrators: if extreme heat is now a recurring, predictable public health emergency, then the workforce that delivers the front-line response deserves the same strategic investment and planning attention as any other piece of emergency infrastructure.

The broader context gives this argument urgency. Heat waves in the United States have grown more frequent, more intense, and longer-lasting in recent decades, consistent with the warming trend driven by climate change, and emergency departments in many regions have reported rising numbers of heat-related visits during recent summer seasons. Public health agencies have long emphasized individual-level precautions, such as hydration, air conditioning, and checking on vulnerable neighbors, but the hospital-level response has received comparatively less attention. The editorial’s contribution is to shift the focus from the community to the bedside, insisting that what happens inside the hospital, and specifically how many nurses are available and how well supported they are, is a measurable determinant of who survives a heat emergency.

The authors state their conclusion plainly: extreme heat is no longer just a public health issue, but an immediate hospital preparedness priority that requires treating nurse staffing and supportive work environments as essential emergency infrastructure. As climate projections indicate that dangerous heat events will become more common in the coming decades, hospitals that invest now in their nursing workforce, in both numbers and working conditions, may find themselves measurably better equipped to protect their patients when the next heat wave arrives. The editorial, titled How Nursing Can Strengthen Hospital Preparedness for Extreme Heat, was published in Public Health Nursing in September 2026 and represents a call to action for health system leaders, educators, researchers, and policymakers alike to place the nursing workforce at the center of climate resilience planning.

Subject of Research: The role of hospital nurse staffing and work environments in extreme heat emergency preparedness

Article Title: New editorial calls for investing in hospital nursing workforce to address health impacts of extreme heat

Article References: New editorial calls for investing in hospital nursing workforce to address health impacts of extreme heat. (n.d.). Original publication

Image Credits: AI Generated

DOI: Not provided

Keywords: extreme heat, nurse staffing, hospital preparedness, Public Health Nursing, climate resilience, heat-related illness, emergency department, patient outcomes, nursing workforce, health policy, University of Pennsylvania, heat wave

The editorial examines several of the most active research fronts where AI is being tested in plastic surgery, and its conclusions are strikingly cautious. The central message is that while AI has already proven useful in non-clinical settings such as communication, accounting, feedback collection, and office management, the technology has not yet accumulated sufficient evidence to justify routine use in clinical practice. That gap between enthusiasm and proof, the author suggests, is where the specialty’s attention should now be focused.

One of the most debated applications is the computerized assessment of aesthetic outcomes. Plastic surgery has long struggled with the subjective nature of judging surgical results, and AI-driven computer vision promises to replace human impression with numbers. A study by Varghaei and colleagues assembled what is likely the largest curated paired pre- and postoperative facial image dataset to date, comprising 7,160 photographs from 1,259 patients. The team introduced a scalable, interpretable computer-vision framework designed to quantify aesthetic outcomes of facial plastic surgery using frontal photographs. On its face, this seems like a decisive step toward objectivity, but the editorial raises a fundamental objection: quantification does not guarantee objectivity.

The problem lies in how these systems learn. Current AI technology is dominated by multimodal large language models trained on human input, and the way humans train these models inevitably shapes the opinions they produce. The editorial coins the term compjective to describe this hybrid state, in which a machine’s judgment is neither fully objective nor entirely subjective. The authors of the facial analysis study themselves acknowledged that facial attractiveness, though inherently subjective, is often associated with geometric regularities such as bilateral symmetry, proportionality, and averageness. That concession raises an uncomfortable question: can computerized assessment of aesthetic outcomes ever truly be objective?

Independent evidence suggests the answer, for now, is no. A comparative evaluation by Haider and colleagues tested leading multimodal large language models, including ChatGPT-4o, GPT-4, Gemini, and Claude, on their ability to assess aesthetic features through both qualitative and quantitative analysis. The verdict was sobering. Without fine-tuning or integration with specialized computer-vision architectures, none of the models could provide a reliable aesthetic assessment. In practical terms, the general-purpose systems that most people call artificial intelligence today do not have the capacity to replace a surgeon’s trained eye and accumulated experience in evaluating an aesthetic result. The editorial’s assessment is that AI-driven computer vision has not yet proven to be a reliable resource for clinical integration and requires substantial advancement, though it may serve as a supplementary tool for quantifying treatment results in research settings.

A second frontier is continuous monitoring, where the case for machine assistance is arguably stronger. Every surgeon knows the classical signs of inflammation, calor, dolor, rubor, tumor, and functio laesa, and every training surgeon has endured the burden of watching flaps overnight with instructions as vague as calling if the color changes. A monitoring system that never gets drowsy and never loses focus could be a welcome alternative to a tired colleague. Kim and colleagues developed and tested an automated free flap monitoring system based on artificial intelligence, and the results were promising: sensitivity for detecting venous insufficiency reached 97.5 percent, while sensitivity for arterial compromise reached 92.8 percent. These figures suggest that supplemental monitoring and early warning systems could genuinely optimize patient care, but the editorial is careful to note that such technologies have yet to be evaluated in a clinical trial setting.

That trial evidence may not be far off. Several clinical studies are currently underway focusing on AI-assisted monitoring, diagnosis, and detection. Among them are WISDOM, a trial using AI within digital wound monitoring of surgical wounds to prioritize non-healing wounds for urgent review, registered as NCT06475703; AnAsToMoSIs, a study of artificial intelligence approaches to the monitoring of microvascular free-flap inpatients, registered as ISRCTN36476735; SeeWound2, a clinical evaluation of a digital wound-assessment device using AI-based image analysis, registered as NCT07211295; and an AI risk assessment model for complication prevention in plastic surgery, registered as NCT06507384. Most of these studies are observational or device precision studies, which means the field is still in the phase of establishing that the tools work as claimed, not yet proving that they improve outcomes.

Beneath these specific applications lies a deeper set of methodological problems that the editorial identifies as endemic to the literature. Many published AI models derive from single centers or demographically narrow datasets, which severely restricts their applicability to larger and more varied patient communities. When such models are ported to different populations, performance will likely degrade, because those populations do not resemble the original training data. There is little published work on cross-ethnicity fairness audits or performance stratification across different phenotypes, and many studies omit the detailed metadata that would make post-hoc analysis, standardization, or reproducibility possible. Patient-reported outcomes are frequently missing from pilot studies, a flaw the editorial calls major, since a patient’s understanding of a successful outcome may differ substantially from that of a computerized assessment program. Ultimately, the argument goes, AI metrics must map to patient-reported outcomes, to the surgeon’s decision-making, or to demonstrable improvements in care, and current models show signs of both selection bias and aesthetic bias.

There are, however, examples of success that point the way forward. The editorial cites work by Ravi Dhawan and colleagues reviewing FDA-approved AI-utilizing tools in the wider surgical field, which found that the devices that have cleared regulatory hurdles share common features, including necessity and efficiency. Future pioneers of AI technology in plastic and reconstructive surgery, the editorial argues, should weigh the necessity, safety, and reliability of their tools in improving patient outcomes, reducing complications, and ensuring minimum disruption to existing clinical standards and practices. A tool that is merely novel, in other words, is not enough.

To close the gap between promise and proof, the editorial lays out a set of steps for responsible integration. Reporting standards should be mandated, covering everything from methods to metadata, with proper study registration, open access data sharing, and detailed transparency as prerequisites for a reliable tool. Validation should be prospective and pre-registered, ideally multi-center, because retrospective validation is subpar for supporting the effectiveness of a new tool, even one designed only as a supplement. A patient-centered approach should govern development, with patient feedback included in assessing effectiveness and sufficient fairness audits, subgroup analyses, and stratification of performance by age, sex, ethnicity, and skin tone to avoid perpetuating aesthetic biases. Surgeon-AI workflow integration trials should investigate how AI metrics influence surgical planning, patient counseling, shared decision-making, and interrater variability, with clinician feedback loops refining the AI’s decision logic during testing. Finally, regulatory and consent frameworks need attention, since existing bodies such as the FDA and CE marking schemes do not define specific approval pathways for AI technology, and without a standardized approach governing patient consent and data protection, these tools cannot be freely deployed. The editorial’s conclusion is blunt: while the specialty is prepared for AI that optimizes care and improves outcomes, existing research does not yet provide sufficient evidence of safety for clinical integration, and future work must incorporate both patient and surgeon feedback while meeting the same methodological and reporting rigor that has become standard in clinical trials.

Subject of Research: Responsible and evidence-based integration of artificial intelligence into plastic and reconstructive surgery

Article Title: Responsible and safe integration of AI technology into clinical practice: accommodating the inevitable technological change

Article References: Sinelnikov, M. Y. (2025). Responsible and safe integration of AI technology into clinical practice: accommodating the inevitable technological change. BMC Plastic and Reconstructive Surgery, 1(1), Article 6. https://doi.org/10.1186/s44452-025-00006-4

Image Credits: AI Generated

DOI: 10.1186/s44452-025-00006-4

Keywords: artificial intelligence, plastic surgery, reconstructive surgery, computer vision, large language models, free flap monitoring, clinical trials, patient outcomes, FDA regulation, aesthetic assessment, fairness audits, surgical innovation

The Victorian Virtual Emergency Department, or VVED, began life in October 2020 as a pandemic-era initiative at Northern Health in Melbourne, designed to relieve pressure on a crowded physical emergency department by treating lower-acuity patients at home. Demand grew so quickly that by February 2022 it had expanded into a 24/7, state-wide service staffed around the clock by emergency nurses, emergency physicians, nurse practitioners and general practitioners. Today it ranks among the largest virtual emergency departments in the world, with more than 800,000 consultations logged by March 2026. During the study period, spanning July 2022 to June 2023, it handled 100,422 presentations, roughly 5.3 percent of all public emergency department presentations recorded across Victoria in the same window.

What sets the new analysis apart is its methodological scale. Previous evaluations of virtual emergency care have largely been confined to pilot programmes, single-site audits, or patient satisfaction surveys, leaving open the crucial question of what actually happens to patients after the video call ends. To answer that, the research team used the Centre for Victorian Data Linkage to connect VVED records to the Victorian Emergency Minimum Dataset, which captures every public emergency department presentation in the state, and the Victorian Admitted Episodes Dataset, covering all hospital admissions. The result was a linked cohort of 100,422 consultations from 80,161 individual patients, tracked across eight distinct referral pathways, from self-referrals through paramedic, ambulance, aged care, and urgent care centre referrals.

The headline numbers are striking. Three-quarters of all patients, 76 percent, were managed entirely at home following their virtual consultation. Only 15 percent were directed to a physical emergency department, and a mere 0.3 percent required direct hospital admission. Among those sent home, just 8.2 percent turned up at a physical emergency department within 48 hours, rising to 11.4 percent within seven days, with hospital admissions of 4.1 and 6.6 percent respectively. Those figures compare favourably with international benchmarks: re-presentation rates after discharge from physical emergency departments range from about 5 percent in Australia to more than 30 percent overseas, and British and Canadian virtual urgent care models have reported unplanned attendance rates of 10.5 and 13.7 percent respectively.

The researchers also found evidence that the service is changing the shape of demand across the entire state system. Recent analysis of more than 11 million Victorian emergency presentations between 2018 and 2024 documented a decline in low-acuity triage category 4 and 5 attendances, with avoidance strategies such as the VVED cited as a likely contributor. Victoria was also the only Australian state to record a fall in ambulance incidents in 2024–25, a 5.4 percent drop attributed in part to active management of lower-acuity cases, with the VVED now one of Ambulance Victoria’s largest alternative care pathways. Crucially, the low unplanned re-presentation rate suggests the avoidance reflects appropriate clinical selection rather than dangerous under-triage.

When the team dug into which patients were most likely to bounce back to a hospital, diagnosis emerged as the decisive factor. In multivariable mixed-effects logistic regression covering 65,860 presentations managed in the community, the only variable independently associated with unplanned emergency presentation within 48 hours was the primary ICD-10 diagnostic category. Conditions amenable to assessment by history and visual inspection performed especially well: skin and subcutaneous tissue disorders showed 73 percent lower odds of re-presentation compared with non-specific symptoms, ear conditions such as suspected middle ear infection showed 70 percent lower odds, and respiratory illnesses and minor injuries also fared significantly better. Patients coded under vague symptom categories, the authors note, may simply have had illnesses that had not yet declared themselves, with their higher return rates reflecting appropriate safety-netting advice rather than failures of virtual care.

The picture grows more nuanced for clinically complex patients arriving through healthcare professional referral pathways, including paramedics, residential aged care facilities, and urgent care centres. These referrals involve older, frailer patients with multiple chronic conditions, and when their condition deteriorated, hospital admission was often the appropriate outcome. Among patients sent home from these pathways, admission rates reached 6.3 percent for ambulance referrals and 6.9 percent for aged care referrals within 48 hours. Yet even here, three-quarters were successfully managed at home without any emergency attendance or admission, suggesting the virtual service can safely handle a substantial share of clinically complex cases that would otherwise trigger a hospital transfer.

One surprising finding may reshape how virtual services communicate with patients. Linked data revealed that a third of patients advised to attend a physical emergency department never showed up within 48 hours, a non-compliance rate remarkably consistent with Australian telephone triage services, where 34 percent of callers told to attend immediately also failed to comply within 24 hours. The authors speculate that perceptions of illness severity, trust in medical advice, transport barriers, symptom improvement, or preferences for community-based alternatives may all influence what patients do after the screen goes dark. They caution that presentations to private emergency departments, not captured in the linked datasets, may also account for part of the gap, and they flag this group as a priority for safety research.

The study’s limitations are acknowledged candidly. It captures a single year during the service’s implementation phase, excludes private emergency department use, and relies on administrative coding that may contain inaccuracies. Residual record linkage error, potentially non-random across population subgroups, remains possible. The cohort was also predominantly Australian-born and English-speaking, underrepresenting culturally diverse communities relative to Victoria’s broader population, where roughly 30 percent of residents were born overseas. The authors note that future evaluations should embed Aboriginal and Torres Strait Islander data governance, and that longer-term outcomes including mortality, patient decision-making, equity of access, and rigorous health economic analysis all remain to be established at scale.

Even so, the implications for health systems worldwide grappling with unsustainable emergency demand are hard to ignore. At a population scale exceeding 100,000 consultations, an avoidance rate above 80 percent represents a meaningful reduction in physical emergency attendances, achieved with unplanned re-presentation rates equal to or better than those following discharge from physical emergency departments and rival remote care models. The authors conclude that virtual emergency departments can serve as a scalable complement to traditional emergency services, provided policymakers design referral pathways carefully for higher-risk groups such as frail older adults in residential aged care. As emergency systems confront ageing populations, rising chronic disease, and chronic overcrowding, Victoria’s experiment suggests the emergency department of the future may increasingly begin not in a corridor, but on a screen.

Subject of Research: Population-level outcomes of a state-wide virtual emergency department in Victoria, Australia, using linked emergency and hospital administrative data

Article Title: Outcomes of a state-wide virtual emergency department in Victoria, Australia: a linked data analysis of emergency department utilisation and hospital use

Article References: Sher, L. M., Jessup, R. L., Boyd, J. H., Hutton, J., Suleiman, M., Lawrence, J., Miller, S., Nehme, Z., Bevan, D., & Semciw, A. I. (2026). Outcomes of a state-wide virtual emergency department in Victoria, Australia: a linked data analysis of emergency department utilisation and hospital use. The Lancet Regional Health – Western Pacific, 74, Article 101985. https://doi.org/10.1016/j.lanwpc.2026.101985

Image Credits: AI Generated

DOI: 10.1016/j.lanwpc.2026.101985

Keywords: virtual emergency department, telehealth, emergency medicine, data linkage, hospital utilisation, Victoria, digital health, health services research, ED avoidance, patient outcomes, Outcomes, state-wide

The trial, known as RECITAL (FRacturE ClinIc TriAL), was conducted at two metropolitan public hospitals in Sydney, Australia, and published in eClinicalMedicine. Its central question was deceptively straightforward: does a physiotherapist-led virtual fracture clinic deliver health outcomes that are no worse than the standard in-person clinic run by orthopaedic surgeons? The stakes are considerable. Globally, there were 178 million new fractures in 2019, a rise of 33.4 percent since 1990, and the annual direct medical cost of fractures in the United States alone is projected to reach US$81.5 billion by 2040. Follow-up care for this flood of injuries strains services everywhere. In the United Kingdom, trauma and orthopaedic outpatient services recorded 7.9 million attendances in 2024-25, while in Australia orthopaedic clinics draw more patients than any other outpatient service, with 1.2 million attendances in 2023-24.

Paradoxically, much of that burden may be avoidable. A systematic review of outpatient fracture services concluded that roughly 48 percent of patients do not need to return to hospital at all, because many simple fractures carry such a clear healing prognosis. Prior cohort studies found that 86 to 100 percent of patients with injuries such as Weber B ankle fractures, Mason I radial head fractures and base-of-fifth-metatarsal fractures achieved bony union by 12 weeks. Simple fractures, as defined in the trial, are those that can be managed without surgery and with short-term immobilisation using a removable orthosis rather than a plaster cast. Against this backdrop, the RECITAL investigators enrolled 312 adults referred to hospital fracture clinics in Sydney between November 2023 and March 2025, randomly allocating them in a 1:1 ratio, with concealed assignment, to either the virtual or the in-person care pathway.

The two pathways reflected existing, routine services rather than bespoke research interventions. Patients in the virtual group received a remote consultation with an experienced physiotherapist within five days of referral, conducted by video conference or telephone. The physiotherapist carried out a remote assessment, explained the injury, and provided tailored advice and exercises aligned with the patient’s own goals, with one or two optional follow-up contacts typically at two and six weeks. Escalation to the in-person pathway was available whenever the physiotherapist judged it necessary. In the comparator arm, patients saw an orthopaedic surgeon face-to-face within seven to ten days of referral for a physical assessment and advice, with similar follow-up arrangements. Patients and clinicians could not be blinded to allocation, but biostatisticians and most of the study team remained blinded until analyses were complete, and the protocol and statistical analysis plan were published in advance.

The primary outcome was physical function at 12 weeks, measured with the Patient-Specific Functional Scale, a validated self-report instrument on which patients rate their ability to perform activities that matter to them, scored from 0 to 10. The trial was designed as a non-inferiority study, meaning the researchers pre-specified a margin of 0.7 points; virtual care would be considered non-inferior provided the lower bound of the 95 percent confidence interval for the between-group difference stayed above minus 0.7 points. This margin was deliberately conservative, roughly half of the smallest change patients typically notice on the scale. With 312 participants, the trial had 90 percent power to detect non-inferiority, assuming a standard deviation of 2.0 points and allowing for 10 percent loss to follow-up.

The results exceeded the investigators’ expectations. At 12 weeks, the mean PSFS score was 9.3 points in the virtual care group versus 8.8 points in the in-person group, an adjusted mean difference of 0.53 points in favour of virtual care (95 percent confidence interval, 0.17 to 0.88; P = 0.004). Not only was the non-inferiority threshold comfortably met, the direction of the difference actually favoured the remote pathway, although the investigators caution that a benefit of this size falls below the threshold usually considered clinically important. At week 6 the gap was wider still, with a mean difference of 0.82 points. Pain scores told a similar story: at six weeks, virtual care patients reported significantly less pain (mean difference, minus 0.8 points) and were less likely to be taking pain-relieving medication, 8 percent versus 14 percent, while by 12 weeks pain and health-related quality of life, measured with the EQ-5D-5L, were statistically indistinguishable between the groups.

Safety signals, a weak spot in the earlier literature, were reassuring. Adverse events were captured through participant surveys at six and 12 weeks and supplemented by a systematic review of hospital electronic medical records. Nineteen participants, 12 percent, in the virtual group experienced at least one adverse event, compared with 34 participants, 22 percent, in the in-person group, with the excess in the latter driven largely by reports of high pain or swelling. Unplanned fracture-related surgery occurred in one virtual care participant, 1 percent, and four in-person participants, 2 percent. Most of the serious adverse events recorded in both arms were hospital re-presentations unrelated to the fracture, such as gastrointestinal or respiratory problems. Healthcare utilisation also differed markedly: only 18 percent of virtual care patients had follow-up radiology scans compared with 40 percent of in-person patients, and fewer virtual patients sought additional care from other health professionals.

Adherence to the allocated pathways was strikingly high, with 96 percent of participants receiving care as assigned. Virtual care patients attended a mean of 3.4 follow-up appointments, more than the 1.5 attended by the in-person group, yet they still avoided the hospital entirely for most contacts. Only 12 participants in the virtual arm crossed over to in-person care, 11 of them referred by their treating physiotherapist for escalation, a recall rate of about 7 percent that compares favourably with the average recall rate of 42.4 percent reported for virtual clinics in systematic reviews. The trial also captured an intriguing sociological detail: among patients who declined randomisation because of a strong treatment preference, more favoured the virtual pathway, 154, than the in-person clinic, 94, hinting at growing public appetite for remote care.

The investigators acknowledge limitations. Participants could not be blinded, creating potential for performance bias, although they were unaware of the study hypothesis and reported outcomes directly through a web-based system. Radiological healing was not assessed, reflecting standard practice for simple fractures and growing evidence that routine follow-up imaging adds little clinical value. The sample size precluded subgroup analyses by fracture type, and the findings cannot yet be generalised to children or to complex injuries requiring surgery or casting. The authors also note that the greater number of follow-up contacts in the virtual arm may have contributed to better outcomes through reassurance and earlier detection of problems, a mechanism that warrants further study alongside a formal cost-effectiveness evaluation, which is planned separately.

Even with those caveats, RECITAL marks a turning point for virtual fracture care. By providing the first randomized evidence that a physiotherapist-led remote pathway is non-inferior to surgeon-led in-person care on patient-important function, while suggesting equivalent or better safety and patient experience, the trial lends rigorous support to what observational studies have long hinted at. If health systems adopt the model at scale, specialists could be freed to focus on complex injuries, and patients in rural and remote areas could avoid long journeys for appointments they may not need. With fractures rising steadily worldwide and orthopaedic waiting rooms overflowing, the humble video call may prove one of the simplest tools available to keep broken bones, and broken health systems, from costing more than they should.

Subject of Research: Virtual fracture clinic pathway versus in-person care for simple fractures

Article Title: ‘Virtual’ fracture clinic pathway for patients with simple fractures (RECITAL): a non-inferiority, randomised controlled trial

Article References: Teng, M. J., Zadro, J. R., Copp, T., Pickles, K., Khoudair, I., Warnock, B., Shaw, M., Hutchings, O., Horsley, M., Petchell, J., Liu, X., Llewellyn, S., Ackerman, I. N., Thomas, R., Charteris, R., Maher, C. G., & Traeger, A. C. (2026). ‘Virtual’ fracture clinic pathway for patients with simple fractures (RECITAL): a non-inferiority, randomised controlled trial. eClinicalMedicine, Article 104198. https://doi.org/10.1016/j.eclinm.2026.104198

Image Credits: AI Generated

DOI: 10.1016/j.eclinm.2026.104198

Keywords: virtual fracture clinic, telemedicine, simple fractures, non-inferiority trial, randomized controlled trial, physiotherapist-led care, orthopaedics, patient outcomes, remote healthcare, fracture follow-up, Virtual, fracture

The Wilson and Cleary framework, first proposed in the 1990s and later revised, is one of the most influential conceptual models in outcomes research. It links biological and physiological variables through symptom status and functional health to general health perceptions and, ultimately, overall quality of life. What makes the model useful is its insistence on pathways: it does not simply ask which factors correlate with quality of life, but proposes directional chains through which disease mechanisms are translated into lived experience. Applying this revised model to Parkinson’s disease allowed the study’s authors to test, in a structured and statistically explicit way, which determinants carry the greatest weight along that chain.

Parkinson’s disease is the second most common neurodegenerative disorder worldwide, and its non-motor burden is increasingly recognized as a dominant driver of disability. Depression, anxiety, apathy, sleep disturbance, pain, fatigue, and sexual dysfunction are all more prevalent in Parkinson’s than in age-matched populations, and each has been independently associated with poorer quality of life in prior work. What has been missing, the researchers argue, is an integrated, multidimensional account that places these factors in a single explanatory architecture, rather than treating them as isolated contributors measured one at a time.

The study assembled a battery of validated instruments capturing the model’s successive levels: physiological measures and clinical characteristics of the disease, symptom scales covering both motor and non-motor domains, functional assessments, mental health measures including depressive and anxiety symptoms, and dedicated evaluation of sexual health. Quality of life was assessed with disease-specific and generic instruments, allowing the authors to examine both overall health perceptions and broader life evaluation. Statistical modeling then quantified the direct and indirect effects of each determinant, revealing how influences propagate from biological dysfunction through symptoms and function to the way patients judge their own health.

The headline finding is striking in its simplicity: mental health and sexual function emerged as determinants of quality of life comparable in importance to, and in some pathways stronger than, the classical motor measures that dominate routine neurological assessment. Depressive symptoms in particular acted as a powerful hub, both directly reducing quality of life and mediating the effects of other clinical variables. Sexual dysfunction, which affects a substantial proportion of both men and women with Parkinson’s disease, contributed significantly to poorer health perceptions even after accounting for disease severity, age, and functional status. The authors emphasize that these are not peripheral complaints but central components of the patient experience.

The pathway structure of the revised model proved illuminating. Motor severity influenced quality of life partly through its effect on symptoms and daily functioning, but also through its impact on mood, illustrating an indirect route in which physical decline erodes emotional well-being, which in turn depresses overall life evaluation. Conversely, some non-motor symptoms exerted effects that were largely mediated by mental health, suggesting that psychological state functions as a gateway through which much of the disease’s subjective burden passes. This mediation pattern has practical implications: interventions targeting depression and anxiety may ameliorate the quality-of-life consequences of a range of otherwise distinct symptoms.

Sexual health deserves particular attention in this framework. Sexual dysfunction in Parkinson’s disease arises from a convergence of mechanisms, including dopaminergic degeneration affecting autonomic and limbic circuits, medication effects, motor limitations, relationship strain, and psychological factors. The study’s finding that sexual function retains a significant association with quality of life within a multidimensional model underscores that it is an independent dimension of health, not merely a byproduct of depression or disability. Yet sexual health remains one of the least discussed topics in routine Parkinson’s care, with patients frequently reluctant to raise it and clinicians rarely asking. The authors suggest that structured assessment of sexual function should be incorporated into comprehensive care pathways.

The multidimensional approach also highlights the interdependence of domains often managed by different specialists. Sleep problems feed fatigue; fatigue erodes physical activity; inactivity worsens mood and function; and each step along the chain degrades health perceptions. By modeling these relationships simultaneously, the revised Wilson and Cleary framework provides a map of where interventions might yield the greatest downstream benefit. Treating depression, optimizing dopaminergic therapy, addressing sexual dysfunction, supporting physical function, and attending to social and role functioning are not competing priorities but complementary leverage points on a shared causal network.

For clinicians, the message is that quality of life in Parkinson’s disease is not a simple readout of motor state. Two patients with comparable disease duration and comparable Unified Parkinson’s Disease Rating Scale scores may inhabit radically different subjective worlds depending on their mood, their intimate relationships, and their ability to sustain valued activities. Routine care that measures only the visible layer of the disease risks systematically underestimating the burden carried by those whose motor symptoms are well controlled but whose emotional, sexual, and social health is not. Screening instruments for depression, anxiety, and sexual function are brief, validated, and inexpensive, making systematic implementation feasible in ordinary outpatient settings.

For researchers, the study demonstrates the value of theory-driven models in a field awash with correlational data. Rather than cataloguing associations, the revised Wilson and Cleary model imposes an ordered structure that can be tested, refined, and compared across conditions and populations. The authors note that longitudinal designs will be needed to confirm the directional pathways suggested here, and that interventions designed with the model in mind, for example psychotherapy or sexual health counseling embedded within neurological care, could provide direct tests of its practical utility. If subsequent trials confirm that improving mental and sexual health yields measurable gains in overall quality of life beyond what motor optimization achieves, the study will have helped shift the center of gravity in Parkinson’s care toward a genuinely holistic medicine, one that treats patients not as motors to be tuned but as whole people whose intimacy, mood, and dignity are inseparable from their health.

Subject of Research: Determinants of health-related quality of life in Parkinson's disease, including sexual and mental health, analyzed with the revised Wilson and Cleary model

Article Title: Sexual, mental, and multidimensional determinants of health-related quality of life in Parkinson's disease using the revised Wilson and Cleary model

Article References: Alenko, A., Sudhakar, M., Chelkeba, L., Fomenko, E., & Keygnaert, I. (2026). Sexual, mental, and multidimensional determinants of health-related quality of life in Parkinson's disease using the revised Wilson and Cleary model. Scientific Reports. https://doi.org/10.1038/s41598-026-71122-z

Image Credits: AI Generated

DOI: 10.1038/s41598-026-71122-z

Keywords: Parkinson's disease, quality of life, Wilson and Cleary model, sexual dysfunction, mental health, depression, non-motor symptoms, health-related quality of life, neurodegenerative disease, patient outcomes, Sexual, mental