Clinician Support Research Articles

The multiple facets of cow’s milk allergy

Cow’s milk allergy (CMA) is one of the most common food allergies in early childhood. CMA has varied presentations and multiple facets. A detailed clinical history is key for classification. In IgE-mediated CMA skin prick testing and serum specific IgE testing are useful in the diagnosis, but an oral food challenge (OFC) may still be necessary if there is doubt or to assess tolerance. Non-IgE-mediated CMA presentations include food protein-induced allergic proctocolitis (FPIAP), food protein-induced enterocolitis syndrome (FPIES), and eosinophilic esophagitis (EoE). The diagnosis of FPIAP and FPIES is based on the clinical history. An esophageal biopsy is required for the diagnosis of EoE. Atopy patch testing, IgG or IgG4 testing are not helpful in any CMA evaluation. Children with CMA (except those with FPIAP) are at risk for poor growth and a nutritional evaluation should be part of routine care. Extensively hydrolyzed formulas are the recommended first choice alternative formula for CMA. For IgE-mediated CMA, alternative approaches to traditional strict avoidance include oral immunotherapy (OIT) and omalizumab (both as monotherapy and as an adjunct to OIT). Multiple international guidelines have addressed evaluation and management of CMA providing key information, support and guidance for clinicians in daily practice.

Expanding access to addictions care: Implementation of a 24-hour healthcare provider support line in British Columbia, Canada

BackgroundMorbidity and mortality related to substance use have risen to catastrophic levels in North America, and treatment services are often difficult to access. In response, the province of British Columbia (BC), Canada, launched a province-wide addiction medicine support phone line that offers clinicians immediate access to phone consultation with an addictions medicine expert. The service operates 24/7 is accessible to any clinician in the province seeking assistance with an addiction-related question. We describe an evaluation of the reach and perceived impact of the service over its first two years.MethodsThe 24/7 Addiction Medicine Clinician Support Line was evaluated prospectively from June 2020 to April 2022. All provider-to-provider encounters were included. Data was collected from two primary sources: health provider demographic information collected at the time of consultation, and optional clinician surveys conducted after the consultation was complete. Descriptive data are presented as numerical values and percentages.ResultsOver the 22-month evaluation period, 1,279 consultations were requested by 631 distinct care providers across British Columbia. The service averaged 15 calls per week across the province, and 51.5% of calls were made outside of business hours. Physicians made the majority of calls to the service (n = 865, 67.6%), followed by nurse practitioners (n = 162, 12.7%). Among those who completed a follow-up survey (n = 258 calls, 20.2% total calls), 81.8% (n = 211) were “very” or “extremely” satisfied with the consultation. Of these respondents, 65.5% (n = 169) reported that the consultation led to the provision of better care for their patient, with 58.1% (n = 150) initiating a new prescription and 22.1% (n = 57) reporting expedited treatment for their patient. The consultation area of focus was most commonly opioid use (n = 417; 59.6%), followed by polysubstance use (n = 98; 14.0%).ConclusionsThe impact of the 24/7 Addiction Clinician Support Line was widespread, and the service increased accessibility to evidence-based addictions treatment across a range of care settings. Clinicians expressed a high degree of satisfaction with the service. To our knowledge, this province-wide program is the first of its kind in North America, offering a scalable and adaptable model to support access to evidence-based addictions care in under-resourced settings.

DPDCD: The Intelligent Prediction Strategy for the Course Development of Diabetic Kidney Disease

Diabetic nephropathy (DKD) is a severe diabetes complication and a leading cause of mortality. While urine microalbuminuria and eGFR are common markers, some advanced cases may exhibit normal values. The progression from microalbuminuria to overt proteinuria in DKD is gradual and requires comprehensive physiological tests for diagnosis. This study employs deep reinforcement learning to predict DKD progression based on patients’ physiological data, aiming to assist clinical diagnosis and treatment. A multivariate logistic regression algorithm is used to describe the DKD prediction probability. An optimized DKD progression prediction algorithm (DPDCD) based on deep reinforcement learning determines the best model coefficients, enabling accurate prediction of DKD progression using routine clinical data. Experimental results demonstrate that DPDCD outperforms other algorithms in predicting DKD progression, providing valuable support for clinicians.

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.

A Blueprint for Clinical-Driven Medical Device Development: The Feverkidstool Application to Identify Children With Serious Bacterial Infection

Clinical decision rules (CDRs) integrated into applications enhance diagnostic and treatment prediction support for clinicians, necessitating CE-mark certification to enter the European market. We describe the development of a CDR as a medical device, focusing on challenges from a physician's perspective exemplified by the Feverkidstool (FKT), a validated CDR for febrile children. We pursued a local process, aligned with the CE-marking process, to develop the FKT as in-house developed device. We aim to provide a blueprint for colleagues.Medical device development, conform the Medical Device Regulation and performed by a multidisciplinary team, encompassed five stages: market scan, design, production, verification and validation and conformity assessment. Regulatory processes were continuously updated. The market scan identified a need for the FKT compared to existing applications. A prototype was designed in stage 2, further adjusted and improved based on the qualitative and quantitative results of stage 2-4. Lastly, stage 5 confirmed FKT's performance and safety. Medical device development presents challenges for physicians, requiring collaboration for technical, regulatory, and financial expertise. Multidisciplinary teamwork also poses challenges, including uncertainties regarding responsibility and timelines. After CE-certification, adapting to evolving needs and ensuring data privacy highlights the ongoing nature of medical device development.

Implementation of a Nurse-led Paediatric Epistaxis Clinic at a tertiary hospital

IntroductionReferrals for recurrent epistaxis constitute a significant proportion of paediatric ENT consultations. In order to improve access to secondary care, a nurse-led paediatric epistaxis clinic (NPEC) was developed in collaboration with ENT specialist nurses. The purpose of this study was to describe the structure of NPEC at our institution and to assess the impact including safety, parental satisfaction and referral-to-clinic times. MethodsENT specialist nurses were trained by an ENT Consultant through teaching sessions and clinic observations. Standard operating procedure was developed, and competencies were granted before commencement of NPEC. Service evaluation was done to assess the impact of NPEC including safety, parental satisfaction and referral-to-clinic times. All patients who attended NPEC from March 2022-February 2023 were included. Parental satisfaction questionnaires completed at the end of the clinic visit were prospectively collected for first 25 consecutive patients. Patient chart review was performed to assess for complications, need for consultant reviews and waiting times. ResultsForty-seven patients attended NPEC during the study period (77 clinic visits). Median age was 10 years (range 3-16 years). Management included antibiotic ointment (25/77), silver nitrate cautery (28/77) and 3 were listed for nasal cautery under general anaesthesia. Among cases which underwent silver nitrate cautery, there was one minor complication reported. Consultant review was required in 18 clinic visits (23.3 %), including 5 patients requiring fiberoptic nasal endoscopy. Over the study period, median referral-to-clinic time for new patients was 77 days, compared to 229 days for consultant clinic (p= 0.003, Wilcoxon rank sum test). Overall quality of care in NPEC was described as "very satisfactory" and “fairly satisfactory” by 92% and 8% parents respectively. ConclusionNurse led paediatric epistaxis clinics are safe and is associated with high parental satisfaction. Critical to success of NPEC is appropriate patient selection, training and availability of clinician support. These clinics offer a sustainable option to improve access to secondary care for paediatric epistaxis patients.

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.