Clinician Support Research Articles

Women’s perspectives on the acceptability of risk-based cervical cancer screening

BackgroundThe increased knowledge of cervical cancer (CC) risk factors and suboptimal performance of present screening programs has generated interest in shifting from a universal screening approach to one based on individual risk assessment. To inform the future development of risk-based CC screening programs, it is crucial to gain insight into the factors influencing the acceptability of such approach among screening target group women. The aim of this study was to prospectively investigate the acceptability of risk-based CC screening and to identify potential barriers.MethodsIn this qualitative study, one-to-one semi-structured interviews were conducted with a purposeful sample including women aged 30–65 years to explore women’s perspectives on the acceptability of risk-based CC screening. The study was conducted in Estonia, and interviews were conducted from March to September 2023. Potential participants were approached in person by a member of the study team or by their healthcare providers at primary care or gynaecology clinics. The interview guides were developed based on the concept of acceptability of healthcare interventions.ResultsTwenty participants (mean age 44.5, SD = 8.6) with diverse backgrounds were interviewed. The seven components of acceptability (affective attitude, burden, ethicality, opportunity costs, perceived effectiveness, self-efficacy, and intervention coherence) were explored as key themes. Generally, women supported risk-based screening. However, we identified several factors that may compromise the acceptability of risk-based screening. The participants were reluctant to accept less intense screening for low-risk women and anticipated that if risk-based approach was implemented, more frequent testing would remain an option. Providing in-person clinician support was expected, requiring additional healthcare resources. Knowledge gaps in CC prevention highlighted the need for accessible information and education. Most women were unworried about sensitive data inclusion in risk score calculations. However, some participants were concerned about potential confidentiality breaches by healthcare workers.ConclusionThis study indicates that risk-based CC screening is acceptable, except for testing low-risk women less frequently. Our findings underscore the necessity for comprehensive understanding of the needs and concerns of the target group women for program development. Healthcare organizations are required to proactively address these needs by implementing comprehensive information dissemination and efficient communication approaches.

Feasibility of Emergency Department-Initiated HIV Pre-Exposure Prophylaxis

Introduction: Pre-exposure prophylaxis (PrEP) for HIV—using antiretroviral medication in non-infected individuals to prevent HIV—has immense potential to slow the spread of the virus. However, uptake has been insufficient, and stark racial disparities exist in both HIV acquisition and PrEP usage, making PrEP access a health equity issue. A promising venue to engage high-risk populations in PrEP care is the emergency department (ED); however, existing ED PrEP initiatives have been costly or have had limited success. We hypothesize that two strategies could overcome these barriers: prescribing PrEP during an ED visit and providing patients with an initial supply of PrEP medication in the ED. Here, we describe the results of a qualitative study exploring multidisciplinary emergency clinicians and HIV clinicians’ needs and views about the feasibility of such an initiative. Methods: We conducted 22 semi-structured interviews with multidisciplinary clinicians from an urban, safety-net medical center in the ED and the on-site HIV clinic that provides PrEP services.We performed thematic analysis to summarize challenges and potential solutions described by participants. Results: Participants’ responses fell into three thematic categories: operational challenges; patient-level considerations; and potential impacts. Operational challenges highlighted the difficulty of PrEP initiation in a busy ED and clinician support needs. Patient-level considerations included the complex psychosocial needs of ED patients who could benefit from PrEP. Finally, participants anticipated that an ED-based PrEP initiation program could positively impact both individual patients and public health. Conclusion: Interviews with emergency department and HIV clinic staff revealed important considerations and potential solutions for ED-initiated PrEP workflows. Clinicians in both specialties were enthusiastic about such an initiative, which could facilitate its success. This study lays the groundwork for the future design of an efficient and innovative workflow to leverage the ED as an essential entry point into HIV prevention services.

Nurses' Experiences With Virtual Consultations and Home-Monitoring in Patients With Cardiac Disease: A Systematic Review and Qualitative Meta-Synthesis ofResults.

To explore how nurses experience facilitators and barriers to the use of video-consultations for home-monitoring of patients with cardiac disease. A systematic literature search in PubMed, CINAHL, Scopus, and Web of Science was undertaken, inclusion criteria were qualitative data published between 2013 and 2023 written in English, Norwegian, Swedish, or Danish. Ten studies were included in the qualitative synthesis conducted as described by Braun and Clarke. From the synthesis, a main theme emerged: Nurses' uncertainty toward telemedicine is a risk toward the use of video-consultations and home-monitoring. The essence of the findings range from nurses' positive experiences to their frustration concerning the implementation process and the lack of technical support for clinicians and patients. Nurses often felt frustration and uncertainty about the quality of delivered care through virtual consultations. Working with technology in caring for patients with cardiac disease, including video-consultations and home-monitoring, nurses experienced a sense of insecurity. Insecurity was identified as a lack of technological knowledge, nurses' feelings of apathy, poorer observation through a video-consultation, and the lack of organizational support.

Coming of age in a warming world: A self‐determination theory perspective

AbstractToday's youth are growing up in a world threatened by climate change. Facing an uncertain future, young people—and especially adolescents—tend to be concerned about climate change, even more so than other age groups. How can socializing agents (e.g., educators, policymakers, clinicians) support and engage adolescents as they come of age in a warming world? In this article, we review studies on climate change and youth development from the perspective of self‐determination theory (SDT). SDT provides a framework for understanding a nascent body of literature on adolescents' responses to climate change. In particular, SDT offers insights into the factors that can facilitate or undermine adolescents' internalization of climate science, engagement in pro‐environmental behavior, and capacity for resilience and well‐being. We discuss SDT's potential to inform efforts to encourage positive youth development amid climate change, and we identify priorities for investigation.

Supporting clinicians post exposure to potentially traumatic events: Emergency department peer support program evaluation.

Workers in EDs are regularly exposed to potentially traumatic events. Since the COVID-19 pandemic, there has been exponential interest in peer support programs (PSPs) in a range of settings. We describe a PSP implemented in 2017 at University Hospital Geelong (UHG) ED together with results of a survey. To describe the program such that others can replicate it in their settings in addition to feedback evaluation. Method involved a survey emailed to the ED doctors. Thirty responses from 96 emails with a range of feedback. ED Doctors place high value on the PSP.

An integrative predictive model for orthokeratology lens decentration based on diverse metrics.

To develop a predictive model for orthokeratology (Ortho-K) lens decentration 1 month after wear. This study included myopic children who were fitted with Ortho-K lenses at Fujian Provincial Hospital between December 2022 and May 2024. Corneal topography parameters and other relevant metrics were collected pre- and post-treatment. Feature selection was conducted using univariate logistic regression and Lasso regression analysis. A machine learning approach was used to develop multiple predictive models, including Decision Tree, Logistic Regression, Multilayer Perceptron, Random Forest, and Support Vector Machine. Model performance was evaluated using accuracy, sensitivity, specificity, ROC curves, DCA curves, and calibration curves. SHAP values were employed to interpret the models. The Logistic Regression model demonstrated the best predictive performance, with an AUC of 0.82 (95% CI: 0.69-0.95), accuracy of 77.59%, sensitivity of 85%, and specificity of 61.11%. The most significant predictors identified were age, 8 mm sag height difference, 5 mm Kx1, and 7 mm Kx2. SHAP analysis confirmed the importance of these features, particularly the 8 mm sag height difference. The Logistic Regression model successfully predicted the risk of Ortho-K lens decentration using key corneal morphological metrics and age. This model provides valuable support for clinicians in optimizing Ortho-K lens fitting strategies, potentially reducing the risk of adverse outcomes and improving the quality of vision for patients. Further validation in clinical settings is recommended.

Development and evaluation of an online education module to improve clinician knowledge and management of eating disorders in the peripartum: a pre-post survey study

ObjectiveEating disorders (EDs) comprise a range of illnesses characterised by disordered eating, distressing thoughts, and changes in weight. EDs in the perinatal period are a growing concern. Maternity staff receive little training in this area and often report feeling ill-equipped to recognise or respond to presentations of ED during this time. The study aimed to develop and evaluate an online educational module for clinicians and support workers to improve knowledge of EDs in the perinatal period.MethodEducation modules were developed using a co-design process with consumer advocates, peer support workers, clinicians, and experts. Consumer perspectives, evidence-based videos, activities, and text relating to screening, management, monitoring and referral of perinatal individuals with EDs were included in the module. Quantitative and qualitative data from pre- and post- surveys were used to evaluate changes in knowledge and confidence before and after completing the module, and to assess staff satisfaction, usability, and obtain feedback for improvement.ResultsUse of the online education module significantly increased staff knowledge of EDs in the perinatal period. Participants also felt more confident in discussing the topic with patients, screening, supporting, and referring a person with ED in the perinatal period. Participants also reported the module was engaging and easy-to-use.ConclusionsFindings indicate that the ED online education module is an engaging and easy-to-use tool for improving the knowledge and skills of the healthcare workforce, thereby improving patient care and health outcomes. The development of additional online resources for clinicians would be beneficial for increasing staff capability and improving patient services.

Nutraceuticals in osteoporosis prevention.

Nutraceuticals are gaining popularity as they can contribute to bone health by delaying the onset or slowing down the progression of pathological bone loss. Osteoporosis's bone loss is a concern for older adults and a crucial aspect of aging. Maintaining healthy bones is the key to living a full and active life. Our review explores the current knowledge on the role of nutraceuticals in preventing osteoporosis by focusing on three main aspects. First, we provide an overview of osteoporosis. Second, we discuss the latest findings on natural nutraceuticals and their efficacy in reducing bone loss, emphasizing clinical trials. Third, we conduct a structured analysis to evaluate nutraceuticals' pros and cons and identify translational gaps. In conclusion, we must address several challenges to consolidate our knowledge, better support clinicians in their prescriptions, and provide people with more reliable nutritional recommendations to help them lead healthier lives.

What I was thinking/what I would do differently: Technology-enabled traumatic stress support.

At the 39th meeting of the International Society of Traumatic Stress Studies, three leading researchers and clinicians in technology-enabled traumatic stress support were invited to reflect on their careers and contributions to the field. Dr. Brian P. Marx has led the development of large-scale technologies to screen, assess, and treat traumatic stress pathology across diverse etiologies and needs. Dr. Barbara O. Rothbaum, a pioneer in the development of virtual reality for exposure therapy, has demonstrated the efficacy and scalability of digital treatment for traumatic stress. Retired Col. Dr. Eric Vermetten has worked extensively on the intersection of basic mechanisms, novel psychological and biological treatment, and technology for scalable assessment and treatment, primarily in military and mass casualty contexts. The panelists were asked to reflect on their initial ambitions, concerns, unexpected challenges, and the influence of their work on new research trajectories. Their insights provide valuable lessons about the process and content of their work, and their pioneering efforts have significantly advanced the field of technology-enabled traumatic stress support.

Machine learning model predicting factors for incisional infection following right hemicolectomy for colon cancer

Background and aimColorectal cancer is a prevalent malignancy worldwide, and right hemicolectomy is a common surgical procedure for its treatment. However, postoperative incisional infections remain a significant complication, leading to prolonged hospital stays, increased healthcare costs, and patient discomfort. Therefore, this study aims to utilize machine learning models, including random forest, support vector machine, deep learning models, and traditional logistic regression, to predict factors associated with incisional infection following right hemicolectomy for colon cancer.MethodsClinical data were collected from 322 patients undergoing right hemicolectomy for colon cancer, including demographic information, preoperative chemotherapy status, body mass index (BMI), operative time, and other relevant variables. These data are divided into training and testing sets in a ratio of 7:3. Machine learning models, including random forest, support vector machine, and deep learning, were trained using the training set and evaluated using the testing set.ResultsThe deep learning model exhibited the highest performance in predicting incisional infection, followed by random forest and logistic regression models. Specifically, the deep learning model demonstrated higher area under the receiver operating characteristic curve (ROC-AUC) and F1 score compared to other models. These findings suggest the efficacy of machine learning models in predicting risk factors for incisional infection following right hemicolectomy for colon cancer.ConclusionsMachine learning models, particularly deep learning models, offer a promising approach for predicting the risk of incisional infection following right hemicolectomy for colon cancer. These models can provide valuable decision support for clinicians, facilitating personalized treatment strategies and improving patient outcomes.

Low-intensity parent- and clinician-delivered support for young autistic children in Aotearoa New Zealand: a randomised controlled trial

Aotearoa New Zealand does not provide publicly-funded intensive autism support. While parent-mediated supports are promising, children and families may also benefit from direct clinician support. We tested the efficacy of a low-intensity programme involving parent- and clinician-delivered support for autistic children. This single-blind, two-arm randomised controlled trial assessed outcomes of a six-month low-intensity parent- and clinician-delivered support (2-3h per week) based on the Early Start Denver Model compared to a control group who received monthly support calls and assistance with referrals. Children aged 1-4.5 years who were autistic or showing signs of autism and their parents were randomised to the low-intensity or control group by a blinded statistician using the Urn minimisation method. Assessments were conducted at baseline and immediately following the support period (24-weeks post-baseline). The primary outcome was child engagement during an interaction with their parent. The trial was pre-registered with ANZCTR: U1111-1260-2529. From March 2021 to May 2023, 56 families were randomised to either the low-intensity or control group. Following drop-outs, 21 families in the low-intensity group and 24 in the control group were included in analysis. There was large and significantly greater improvement in children's engagement in the low-intensity group compared to the control group (F (1, 43)=21.47, p<0.0001, ηp 2=0.33). There was one recorded adverse event unrelated to the support and two adverse effects related to the support. A low-intensity parent- and clinician-delivered support can improve engagement between an autistic child and their parent during play. Low-intensity supports may be beneficial in areas where access to clinical autism supports is limited. Emerging Researcher First Grant from the Health Research Council of New Zealand.

Explainable Deep Learning Approach for Mpox Skin Lesion Detection with Grad-CAM

Mpox is a viral zoonotic disease that presents with skin lesions similar to other conditions like chickenpox, measles, and hand-foot-mouth disease, making accurate diagnosis challenging. Early and precise detection of mpox is critical for effective treatment and outbreak control, particularly in resource-limited settings where traditional diagnostic methods are often unavailable. While deep learning models have been applied successfully in medical imaging, their use in mpox detection remains underexplored. To address this gap, we developed a deep learning-based approach using the ResNet50v2 model to classify mpox lesions alongside five other skin conditions. We also incorporated Grad-CAM (Gradient-weighted Class Activation Mapping) to enhance model interpretability. The results show that the ResNet50v2 model achieved an accuracy of 99.33%, precision of 99.34%, sensitivity of 99.33%, and an F1-score of 99.32% on a dataset of 1,594 images. Grad-CAM visualizations confirmed that the model focused on relevant lesion areas for its predictions. While the model performed exceptionally well overall, it struggled with misclassifications between visually similar diseases, such as chickenpox and mpox. These results demonstrate that AI-based diagnostic tools can provide reliable, interpretable support for clinicians, particularly in settings with limited access to specialized diagnostics. However, future work should focus on expanding datasets and improving the model's capacity to distinguish between similar conditions.

From Design to Clinical Translation: Unraveling Orthotist Perspectives on 3D Printed Accommodative Insoles

ABSTRACT Introduction Custom accommodative insoles have become the gold standard for managing plantar pressures and reducing ulceration risk in persons with diabetes. With advances in 3D-printing technologies, methods of fabricating 3D-printed accommodative insoles have emerged. Clinician feedback is imperative to developing a 3D-printed accommodative insole that meets clinical needs and is more effective than the current standard of care (SoC). Objective The aim of this study was to inform the development of 3D-printed accommodative insoles by gaining clinician perspective on insole requirements and application of the digital workflow for seamless translation into the clinical setting. Study Design This article is a qualitative study. Materials and Methods Four focus groups with a total of 16 orthotists were held, prompting discussions on the current SoC accommodative insole and other 3D-printed insoles we have developed. Sessions were recorded and transcribed, and main themes were derived from transcriptions. Results Review and analysis of the transcripts resulted in four main themes: 1) reimbursement, 2) durability, 3) effectiveness, and 4) workflow application in clinic. Conclusions The responses showed areas to focus improvements on the 3D-printed insole design and ways to ease the transition into a clinical setting. Clinician support is crucial in the adoption of a new device to clinical practice. Their feedback is essential to ensuring the item meets the clinical needs and the workflow is not disruptive to the clinical setting. Clinical Relevance Understanding clinician perspective on current SoC disadvantages and shortcomings, areas for improvement in the 3D-printed insole fabrication, and what is feasible in clinic appointments will help inform insole design and aid in translating new 3D-printing technology to clinical care for improved patient outcomes.

Clinical research self-efficacy in academic veterinary clinicians in the United States.

Clinical research is a growing part of the academic clinician's job, and documenting areas of low self-efficacy can inform training initiatives. 182 US academic veterinary clinicians. A survey of academic veterinary clinicians was distributed to 31 US institutions. Self-efficacy was assessed with a modified Clinical Research Appraisal Instrument-12. The relationship between research self-efficacy and completion of formal research training and years of experience was evaluated. Respondents were predominantly junior to midcareer faculty. The lowest reported confidence was in performing advanced statistical analyses (3; 0 to 10). Other low-confidence tasks included designing a qualitative methods study (4; 0 to 10), terminating a collaboration that isn't working (5; 0 to 10), describing a funding agency's review/award process (5; 0 to 10), establishing a timeline for a grant application (5; 0 to 10), establishing collaborator and consultant agreements (5; 0 to 10), and asking staff to leave the project team (5; 0 to 10). Completion of a formal research training program was significantly associated with improved self-efficacy in many tasks. Years of experience was also associated, especially in project management and interpersonal interactions. These results highlight the need for targeted training opportunities for academic veterinary clinicians in biostatistical support, qualitative study design methods, and aspects of communication and interpersonal skills that are important for developing and leading effective research teams. Range of confidence suggests that development opportunities in all domains will improve self-efficacy for some clinicians. Future studies should focus on the impact of formal training sessions on various domains of self-efficacy and on targeted mentoring in supporting confidence in more experiential learning domains.

Beyond stigma: Clinician bias in contraceptive counseling to sexual and gender minority youth

ObjectivesSexual and gender minority (SGM) youth experience disparities in sexual and reproductive health; however, little is known about how clinicians engage in contraceptive counseling with this patient population. This study describes pediatric clinician patterns and biases in contraceptive counseling with SGM youth. Study DesignWe conducted 16 in-depth interviews with a convenience sample of clinicians who counsel adolescents on contraception. Participants were recruited and interviewed in-person at the American Academy of Pediatrics National Conference in October 2022. We used codebook thematic analysis. ResultsWhen discussing contraceptive counseling among SGM youth, three major themes emerged: (1) participants’ acceptance of SGM youth identities varied from support to suspicion and rejection; (2) participants’ conceptualizations of their SGM youth patients’ identities circumscribed the scope of the contraceptive care they provided; and (3) participants described using a universal approach to contraceptive counseling that disregarded the relevance of SGM youth identities. For transgender patients, many clinicians focused on menstrual regulation and overlooked potential pregnancy risk. When discussing sexual minority patients, clinicians overemphasized pregnancy prevention and encouraged the use of highly effective contraceptive methods rather than taking a shared decision-making approach to contraceptive care. ConclusionMany clinicians demonstrated bias in approaches to contraceptive care provision to SGM youth patients by holding patients accountable to normative assumptions in transgender medicine and family planning. Training and support for adolescent-facing clinicians in bias recognition and comprehensive contraceptive care are necessary to provide person-centered reproductive health care to SGM youth.

Digital Cognitive-Behavioral Therapy for Insomnia in Cancer Survivors: Protocol for a Pragmatic Clinical Trial.

Insomnia is one of the most prevalent, persistent, and distressing conditions associated with cancer, affecting almost half of all cancer survivors. Although cognitive-behavioral therapy for insomnia is well established as the gold-standard treatment for insomnia, its accessibility is very limited in routine care. We aim to examine the real-world effectiveness and acceptability of a digital cognitive-behavioral therapy for insomnia for cancer survivors with insomnia symptoms through a randomized controlled trial in Portugal. Our cancer trial will test the effects and acceptability of an accessible internet-delivered self-administered cognitive-behavioral therapy for insomnia digital intervention with clinician support, OncoSleep. This online program includes six interactive, personalized weekly sessions featuring evidence-based techniques targeting psychophysiological hyperarousal and maladaptive conditioning, tailored for cancer survivors. Research study procedures include screening for eligibility in the general population and randomization into one of two arms: the digital CBT-I program or a waitlist control group. Insomnia severity (primary outcome), fatigue, sleep diary outcomes, psychological distress, and quality of life (secondary outcomes) will be assessed at baseline and post-intervention.

User perceptions of intelligent offloading diabetic footwear.

Adherence to therapeutic footwear is vital for effective diabetic foot ulcer prevention and treatment. Understanding the key adherence factors and potential barriers is important for footwear design and implementation. Our team is creating intelligent offloading footwear to prevent lower extremity amputations in people living with diabetes (PLwD). This exploratory study assessed the ability of the established Unified Theory of Acceptance and Use of Technology (UTAUT) model to predict behavioral intention to use or recommend this intelligent offloading footwear by PLwD, caregivers of PLwD, or medical professionals treating PLwD. Online and paper questionnaires were implemented to assess the impact of the UTAUT model factors (performance expectancy, effort expectancy, social influence, facilitating conditions) and psychosocial factors (attitude, anxiety, self-efficacy) on the overall behavioral intention to use the footwear. Furthermore, factors influencing potential acceptance and rejection of the footwear were explored. Patients (4.0/5) and medical professionals (4.1/5) showed a behavioral intention to "agree" to use or recommend the footwear when it becomes available. Structural equation modeling showed that the UTAUT constructed model may not be the best indicator for behavioral intention here based on a lack of statistical significance. However, the logistic regression modeling showed that the social influence for PLwD (p=0.004) and the attitude toward the footwear for medical professionals (p=0.001) may be the most important when designing and implementing the footwear, though several other factors (performance expectancy, effort expectancy, facilitating conditions, and self-efficacy) were also important for one or both of these populations. Additionally, cost and clinician support were shown to be important factors influencing potential acceptance of the footwear. The study found promising intention to use the intelligent footwear in the future. This highlights the need to continue future development and implementation of the footwear to incorporate these results, thus improving the likelihood of high adherence of the footwear.

Stakeholder-informed pragmatic trial protocol of the TabCAT-BHA for the detection of cognitive impairment in primary care

BackgroundCognitive impairment and dementia are frequently under-recognized. Health system strategies anchored in primary care are essential to address gaps in timely, comprehensive diagnosis. The goal of this paper is to describe the adaptation of a tablet-based brain health assessment (TabCAT-BHA) intervention and the study protocol to test its effectiveness in improving the detection of cognitive impairment, including dementia.MethodsThis mixed-methods, pragmatic, cluster randomized, hybrid effectiveness-implementation trial is being conducted in two 18-month waves with 26 Kaiser Permanente Southern California primary care clinics, with 13 serving as intervention clinics and 13 as usual care clinics. Patients 65 years and older with memory concerns (n ~ 180,000) receiving care at the 26 clinics will be included in the analyses. Primary care clinics are provided the following practice supports as part of the TabCAT-BHA intervention: brief education and training on neurocognitive disorders and study workflows; digital tools to assess cognitive function and support clinician decision making and documentation; and registered nurse support during the work-up and post-diagnosis periods for primary care providers, patients, and families. The intervention was adapted based on engagement with multiple levels of clinical and operational leaders in the healthcare system. Effectiveness outcomes include rates of cognitive impairment diagnosis in primary care and rates of completed standardized cognitive assessments and specialist referrals with incident diagnoses. Implementation outcomes include acceptability-appropriateness-feasibility, adoption, and fidelity.ResultsWe identified seven themes organized by system-, provider-, and patient-level domains that were used to adapt the TabCAT-BHA intervention. Accordingly, changes were made to the provider education, diagnostic work-up, and post-diagnostic support. Results will be reported in fall of 2027.ConclusionsOur engagement with multiple primary and specialty care clinical and operational leaders to adapt the TabCAT-BHA intervention to these primary care clinics has informed the protocol to evaluate the intervention’s effectiveness for improving the detection of cognitive impairment, including dementia, in an integrated healthcare system.Trial RegistationClinicaltrials.gov: NCT06090578 (registered 10/24/23).

Workplace support for physicians during the COVID-19 Pandemic: Did it affect burnout?

BackgroundA concern before 2020, physician burnout worsened during the COVID-19 pandemic. Little empirical data are available on pandemic workplace support interventions or their influence on burnout. We surveyed a national sample of frontline physicians on burnout and workplace support during the pandemic.MethodsWe surveyed a stratified random sample of 12,833 US physicians most likely to care for adult COVID-19 patients from the comprehensive AMA Physician Professional Data ™ file. The sample included 6722 primary care physicians (3331 family physicians, 3391 internists), 880 hospitalists, 1783 critical care physicians (894 critical care physicians, 889 pulmonary intensivists), 2548 emergency medicine physicians, and 900 infectious disease physicians. The emailed survey elicited physicians’ perceptions of organizational interventions to provide workplace support and/or to address burnout. Burnout was assessed with the Professional Fulfillment Index Burnout Composite scale (PFI-BC). Proportional specialty representation and response bias were addressed by survey weighting. Logistic regression assessed the association of physician characteristics and workplace interventions with burnout.ResultsAfter weighting, respondents were representative of the total sample. Overall physician burnout was 45.4%, significantly higher than in our previous survey. Open-ended responses mentioned that staffing shortages (physician, nursing, and other staff) combined with the increased volume, complexity, and acuity of patients during the pandemic increased job demands. The most frequent workplace support interventions were direct pandemic control measures (increased access to personal protective equipment, 70.0%); improved telehealth functionality (43.4%); and individual resiliency tools (yoga, meditation, 30.7%). Respondents placed highest priority on workplace interventions to increase financial support and increase nursing and clinician staffing. Factors significantly associated with lower odds of burnout were practicing critical care (compared with emergency medicine) OR 0.33 (95% CI 0.12 – 0.93), improved telehealth functionality OR 0.47 (95% CI 0.23 – 0.97) and being in practice for 11 years or longer OR 0.44 (95% CI 0.19–0.99).ConclusionsBurnout across frontline specialties increased during the pandemic. Physician respondents focused on inadequate staffing in the context of caring for more and sicker patients, combined with the lack of administrative efforts to mitigate problems. Burnout mitigation requires system-level interventions beyond individual-focused stress reduction programs to improve staffing, increase compensation, and build effective teams.

Is clinician reported practice in Western Australian emergency departments aligned with direct discharge pathway protocols for minor self-limiting fractures? A multi-centre professional survey.

To determine ED clinician's current management for five common minor self-limiting fractures (MSLF) and evaluate practice against evidence-informed direct discharge pathway (DD) protocols. A survey was provided to doctors, nurse practitioners and advanced scope physiotherapists working in seven metropolitan, public health EDs in Perth, Australia. The relative odds of ED location (e.g. which facility) and clinician level factors (e.g. country of initial training, years of ED experience, profession) on recommending care completely consistent with evidence informeddirect discharge pathway protocols were estimated. Two hundred sixty-two clinicians completed the survey. There was variability in practice across all sites, with most reported care assessed at 60%-76% consistency with individual elements of DD care provision. Highest consistency was seen in lower limb immobilisation and DVT prophylaxis. Lowest consistency was seen in weight bearing advice, pain management and (boxer's) fracture reduction and immobilisation. There were very low levels of complete consistency, ranging from 9% (boxer's fracture) to 25% (radial head fracture). Two factors were associated with increased odds of completely consistent care: (i) clinician experience working in ED, with greater duration of practice associated with increased odds ratios (OR range, 1.6-3.3); and (ii) profession, where advanced scope physiotherapy was associated with increased odds ratios (OR range, 3.2-25.0). Survey results suggested system wide variation in ED fracture management practice and target areas for service improvement. Avenues for service improvement could include hospital wide agreed management plans for specific fractures and support for less experienced clinicians.