Medical Encounters Research Articles

Use of Telemedicine Services Is Associated with Longer ime to TInitiation of Hormone Therapy in Transgender Teens and Young Adults.

Purpose: This is a retrospective chart review examining factors, which may contribute to timing of receipt of prescription for testosterone or estrogen-based interventions for transgender adolescents and young adults who do not receive such a prescription at their first medical appointment. Methods: A total of 176 patient records were available; of this a minority received a prescription for hormone therapy at first medical appointment. Of the remaining 108 unique individuals, 49 received a prescription at a subsequent medical. Results: Participants seen through virtual health care had a significantly longer time in care prior to receipt of estrogen or testosterone prescription (331 days vs. 220 days, p = 0.046). No other significant relationships were found. Conclusion: Patients who utilize telemedicine services for gender-related health care purposes and who did not receive a prescription for estrogen or testosterone at their initial medical encounter have a longer lead time to receipt of hormone therapy.

Book Review: Claudio Scarvaglieri, Eva-Maria Graf, and Thomas Spranz-Fogasy (eds), Relationships in Organized Helping: Analyzing Interaction in Psychotherapy, Medical Encounters, Coaching and in Social Media

Book Review: Claudio Scarvaglieri, Eva-Maria Graf, and Thomas Spranz-Fogasy (eds), <i>Relationships in Organized Helping: Analyzing Interaction in Psychotherapy, Medical Encounters, Coaching and in Social Media</i>

A high incidence of serious life-threatening cardiovascular medical encounters during a marathon (2014–2019) calls for prevention strategies: SAFER XL

ABSTRACT Objective The aim of this study was to determine the incidence and nature (severity and type by organ system and specific diagnosis) of all medical encounters (MEs), including serious/life-threatening MEs (SLMEs) during a South African road marathon. Methods This descriptive study was a retrospective analysis of data collected over 6 years at the Cape Town Marathon from 2014 to 2019, which included 40 446 starters. All MEs were collected and described as per the consensus statement for mass community-based sporting events. Incidences (I; per 1000 starters; 95% CI) are described for all MEs, SLMEs, and by organ system and specific diagnosis. Results The incidence of all MEs was 8.7 (95% CI: 7.8–9.6) per 1000 starters. The largest contributor to all MEs, by organ system affected, was cardiovascular-related, with an incidence of 1.8 (95% CI: 1.4–2.2), where exercise-associated postural hypotension was the most common specific diagnosis (I = 1.3; 95% CI: 1.0–1.7). The incidence of all SLMEs was 1.0 (95% CI: 0.7–1.4) making up 11.7% (41/350) of all MEs. The incidence of SLMEs by organ system was highest in the cardiovascular system (I = 0.4; 95% CI: 0.3–0.7), with acute coronary syndrome (ACS) (I = 0.2; 95% CI: 0.1–0.4) the most common specific diagnosis. There were no sudden cardiac deaths (SCD) nor sudden cardiac arrests (SCA). Conclusion There was a high proportion of cardiovascular-related medical encounters, as well as SLMEs. We recommend that event organizers and race medical directors investigate prevention strategies to mitigate against risk of SLMEs, specifically acute cardiovascular SLMEs.

Associations between concussion and more severe TBIs, mild cognitive impairment, and early-onset dementia among military retirees over 40 years.

As the population of U.S. service members (SMs) who have sustained concussions and more severe traumatic brain injuries (TBIs) during military service ages, understanding the long-term outcomes associated with such injuries will provide critical information that may promote long-term assessment, support, and rehabilitation following military service. The objective of this research was to examine whether concussion and more severe TBIs are associated with greater risk of precursors to dementia (i.e., mild cognitive impairment, memory loss), early-onset dementia, and any dementia. This study used a retrospective cohort design wherein archival medical and career records from 1980 to 2020 identified U.S. military personnel who retired from military service and their corresponding Tricare-reimbursable medical encounters in inpatient and/or outpatient settings in military treatment facilities and/or purchased care settings both before and after retirement. All military personnel who served on active duty between 1980 and 2020 and were at least 45 years of age by 2020 were eligible for inclusion (N = 6,092,432). Those who were discharged from military service with a retirement designation, and were thus eligible for Tricare for Life, were included in the analytic sample (N = 1,211,972). Diagnoses of concussion and more severe TBI during active duty service recorded in inpatient settings between 1980 and 2020 and in outpatient settings from 2001 to 2020 were identified. Focal outcomes of interest included memory loss, mild cognitive impairment, Alzheimer's, Lewy Body dementia, frontotemporal dementia, and vascular dementia. Dementia diagnoses before age 65 were labeled early-onset. Those with (vs. without) concussion diagnoses during military service were significantly more likely to be diagnosed with memory loss and mild cognitive impairment and any of the dementias examined. However, they were not at greater risk of being diagnosed with early-onset dementia. Military SMs diagnosed with concussion may be at elevated risk for long-term neurodegenerative outcomes including memory loss, mild cognitive impairment, and dementia. As the population of SMs who sustained TBI during the Global War on Terror continue to age, the prevalence of dementia will increase and may bring a unique burden to the VHA.

The Role of Object Relations in the Physician-Patient Relationship in a Primary Care Setting.

A good physician-patient relationship is essential for the delivery of quality health care and is associated with better health outcomes. This study explored the association between patients' object relations and the physician-patient relationship. Primary care patients (n = 72) and physicians (n = 21) participated in the study. Patients' early memories were obtained prior to their medical visit and were coded with the Social Cognition and Object Relations-Global Method (SCORS-G). Patients and physicians independently rated the quality of the physician-patient encounter. Results indicated that object relations (SCORS-G Cognitive-structural and Self factors) incrementally predicted physician-patient relationship ratings, as rated by the patient, above and beyond psychological distress, somatization, and level of physician training. Patient education, psychological distress, and level of physician training predicted physician ratings of the medical encounter. The authors discuss the discrepancy between physician and patient ratings as they relate to patients' object relations.

Enhancing the Management of Deployment-Limiting Medical Conditions in the U.S. Department of Navy Leveraging Electronic Health Records and Predictive Analytics Methods.

Deployment-limiting medical conditions (DLMCs) such as debilitating injuries and conditions may interfere with the ability of military service members (SMs) to deploy. SMs in the United States (U.S.) Department of the Navy (DoN) with DLMCs who are not deployable should be placed in the medically restricted status of limited duty (LIMDU) or referred to the Physical Evaluation Board (PEB) for Service retention determination. It is critical to identify SMs correctly and promptly with DLMCs and predict their return-to-duty (RTD) to ensure the combat readiness of the U.S. Military. In this study, an algorithmic approach was developed to identify DoN SMs with previously unidentified DLMCs and predict whether SMs on LIMDU will be able to RTD. Five years of historical data (2016-2022) were obtained from inpatient and outpatient datasets across direct and purchased care from the Military Health System (MHS) Data Repository (MDR). Key fields included International Classification of Diseases diagnosis and procedure codes, Current Procedure Terminology codes, prescription medications, and demographics information such as age, rank, gender, and service. The data consisted of 44,580,668 medical encounters across 1,065,224 SMs. To identify SMs with unidentified DLMCs, we developed an ensemble model combining outputs from multiple machine learning (ML) algorithms. When the ML ensemble model predicted a SM to have high risk scores, despite appearing healthy on administrative reports, their case was reviewed by expert clinicians to investigate for previously unidentified DLMCs; and such feedback served to validate the developed algorithms. In addition, leveraging 1,735,422 encounters (60,433 SMs) from LIMDU periods, we developed four separate ML models to estimate RTD probabilities for SMs after each medical encounter and predict the final LIMDU outcome. The ensemble model had 0.91 area under the receiver operating characteristic curve (AUROC). Out of 236 (round one) and 314 (round two) SMs reviewed by clinicians, 127 (54%) and 208 (66%) SMs were identified with a previously unidentified or undocumented DLMC, respectively. Regarding predicting RTD for SMs placed on LIMDU, the best performing ML model achieved 0.76 AUROC, 68% sensitivity, and 71% specificity. Our research highlighted potential benefits of using predictive analytics in a medical assessment to identify SMs with DLMCs and to predict RTD outcomes once placed on LIMDU. This capability is being deployed for real-time clinical decision support to enhance health care provider's deployability assessment capability, improve accuracy of the DLMC population, and enhance combat readiness of the U.S Military.

Outpatient Prescriptions for Insomnia Medications During the First Year Following Combat-Related Amputations.

Sleep-related disorders are associated with pain, fatigue, and deficits in cognitive performance, which may interfere with successful rehabilitation. The study objectives were to (1) quantify outpatient prescriptions for insomnia medications during the first year following combat-related amputations, (2) examine longitudinal changes in prescriptions for insomnia medications, and (3) analyze patient characteristics associated with prescriptions for insomnia medications. This was a retrospective study of DoD casualty records from the Expeditionary Medical Encounter Dataset and prescriptions for outpatient medications from the Pharmacy Data Transaction Service. Patients were a total of 1,651 U.S. service members who sustained major limb amputations in Operations Iraqi and Enduring Freedom from 2001 through 2017 and had outpatient prescriptions for any medication during the first year postinjury. Prescriptions for medications recommended for insomnia were low-dose antidepressants, anxiolytic sedatives, benzodiazepines, melatonin receptor agonist, and low-dose quetiapine. These prescription medications were analyzed by medication type, postinjury time, and patient characteristics during the first year postinjury. During the first year postinjury, 78% of patients (1,291 of 1,651) had outpatient prescriptions for insomnia medications, primarily anxiolytic sedative drugs (e.g., zolpidem), averaging a total of 86 prescription days (median = 66). The prevalence of these prescriptions declined substantially during the first year, from 57% of patients during the first quarter to 28% during the fourth quarter postinjury. In univariate analyses, multiple patient characteristics, including high Injury Severity Score, continued opioid and non-opioid analgesic prescriptions, and diagnoses of chronic pain, mood disorder, and posttraumatic stress disorder, were significantly associated with higher prevalence and duration of outpatient prescriptions for insomnia medications. The present results indicate a high prevalence of outpatient prescriptions for insomnia medications following combat-related amputations, a prevalence that is substantially higher than previously reported among active duty personnel. These findings can inform DVA/DoD guidelines for amputation care and insomnia among military subpopulations. The results highlight the need for more research on the treatment of insomnia during early postinjury rehabilitation among patients who sustained serious combat injuries.

Novel harm reduction measures at music festivals in Australia: Pilot implementation of the Emerging Drugs Network of Australia-Victoria toxicosurveillance methodology.

Harm reduction strategies at music festivals seek to create a safer environment for patrons. The Emerging Drugs Network of Australia-Victoria (EDNAV) project is a state-wide toxicosurveillance network that derives drug intelligence from a sample of patients presenting to hospital with illicit drug-related toxicity. This publication describes the preliminary outcomes of conducting toxicosurveillance for critically unwell festival patrons within on-site medical facilities. Blood samples were collected from patrons who presented with severe illicit drug-related toxicity across three festivals (2022/2023). Blood samples were analysed via liquid chromatography-tandem mass spectrometry for over 700 pharmaceutical and illicit drugs. There were 1603 individual medical encounters across the festivals, 228 of which were illicit drug related. A blood sample was collected for 24 patients, with a median age of 22 years (range 18-39 years). A median of two drugs (range 1-5 drugs) were reported and four drugs (range 0-8 drugs) were analytically confirmed per patient. The most frequently reported exposures were congruent with analytical results, 3,4-methylenedioxymethamphetamine (reported n = 17, detected n = 20), ketamine (reported n = 9, detected n = 13) and cocaine (reported n = 9, detected n = 12). An unreported illicit drug and/or new psychoactive substance (NPS) was detected in 18 patients, including methylamphetamine (n = 10), a cathinone (n = 7), benzodiazepine-type NPS (n = 6), N-ethylamphetamine (n = 1), 3-hydroxyphencyclidine (n = 1) and/or 4-hydroxy-N-methyl-N-isopropyltryptamine (n = 1). EDNAV toxicosurveillance serves as an additional tool within a multi-faceted approach to harm reduction at festivals. Continued data collection will allow for the characterisation of high-risk drug use patterns to provide evidence-based messaging to festival patrons and key stakeholders.

Establishing trust with children.

Trust forms the bedrock of the doctor-patient relationship. While establishing trust is a foundational skill for healthcare providers who care for children, there is no systematic approach to teaching this skill set, nor is there formal training during medical school or residency. Traditionally, these skills have been taught by example, in an unstructured and ad hoc manner, with trainees picking it up along the way by observing and modeling their instructors. Here, we define and examine the elements of establishing trust and describe a methodology for establishing trust and managing a child's emotional state during medical encounters.

ChatGPT's Role in Improving Education Among Patients Seeking Emergency Medical Treatment.

Providing appropriate patient education during a medical encounter remains an important area for improvement across healthcare settings. Personalized resources can offer an impactful way to improve patient understanding and satisfaction during or after a healthcare visit. ChatGPT is a novel chatbot-computer program designed to simulate conversation with humans- that has the potential to assist with care-related questions, clarify discharge instructions, help triage medical problem urgency, and could potentially be used to improve patient-clinician communication. However, due to its training methodology, ChatGPT has inherent limitations, including technical restrictions, risk of misinformation, lack of input standardization, and privacy concerns. Medicolegal liability also remains an open question for physicians interacting with this technology. Nonetheless, careful utilization of ChatGPT in clinical medicine has the potential to supplement patient education in important ways.

Generalizability of Heat-related Health Risk Associations Observed in a Large Healthcare Claims Database of Patients with Commercial Health Insurance.

Extreme ambient heat is unambiguously associated with a higher risk of illness and death. The Optum Labs Data Warehouse (OLDW), a database of medical claims from US-based patients with commercial or Medicare Advantage health insurance, has been used to quantify heat-related health impacts. Whether results for the insured subpopulation are generalizable to the broader population has, to our knowledge, not been documented. We sought to address this question, for the US population in California from 2012 to 2019. We examined changes in daily rates of emergency department encounters and in-patient hospitalization encounters for all-causes, heat-related outcomes, renal disease, mental/behavioral disorders, cardiovascular disease, and respiratory disease. OLDW was the source of health data for insured individuals in California, and health data for the broader population were gathered from the California Department of Health Care Access and Information. We defined extreme heat exposure as any day in a group of 2 or more days with maximum temperatures exceeding the county-specific 97.5th percentile and used a space-time-stratified case-crossover design to assess and compare the impacts of heat on health. Average incidence rates of medical encounters differed by dataset. However, rate ratios for emergency department encounters were similar across datasets for all causes [ratio of incidence rate ratios (rIRR) = 0.989; 95% confidence interval (CI) = 0.969, 1.009], heat-related causes (rIRR = 1.080; 95% CI = 0.999, 1.168), renal disease (rIRR = 0.963; 95% CI = 0.718, 1.292), and mental health disorders (rIRR = 1.098; 95% CI = 1.004, 1.201). Rate ratios for inpatient encounters were also similar. This work presents evidence that OLDW can continue to be a resource for estimating the health impacts of extreme heat.

Failures of Interpreting and the Impact on Immigrant Healthcare in the United States

This is a first hand account on the failure of virtual interpreting systems as a means of communication with non-English speaking patients. The story focuses on the experiences of two medical students who found themselves having to intervene during medical encounters that utilized virtual interpreting systems due to frequent inaccuracies. Furthermore, it explores the research surrounding the importance of language concordance for accurate and safe medical communication, patient satisfaction and mitigation of already existing healthcare disparities, especially with a rapidly growing Hispanic population.

The Inequitable Experiences of Left-Handed Medical Students in Surgical Education.

Left-handed medical students contend with unique educational barriers within surgery, such as lack of educational resources, lack of left-handed-specific training, and widespread stigmatization of surgical left-handedness. This study aimed to highlight the surgical experiences of left-handed medical students so educators may be empowered to act with greater care and appreciation of these students' circumstances. In this qualitative study, the authors conducted semistructured interviews on surgical experiences during medical school between January 31, 2021, and June 20, 2021, on 31 current surgical residents and fellows from 15 U.S. institutions and 6 surgical specialties. Left-handed trainees were included regardless of their surgical hand dominance. The authors identified 3 themes related to left-handed medical students' surgical experience: (1) disorienting advice from faculty or residents, (2) discouraging right-handed pressures and left-handed stigmatization, and (3) educational wishes of left-handed medical students. Trainees describe dialogues during medical school in which their handedness was directly addressed by residents and faculty with disorienting and nonbeneficial advice. Often trainees were explicitly told which hand to use, neglecting any preferences of the left-handed student. Participants also described possible changes in future surgical clerkships, including normalization of left-handedness, tangible mentorship, or granular and meaningful instruction. Left-handed medical students encounter unique challenges during their surgical education. These students report being disoriented by the variability of advice provided by mentors, discouraged by how pressured they feel to operate right-handed, and burdened by the need to figure things out by themselves in the absence of adequate left-handed educational resources. Surgical education leadership should detail the unique problems left-handed learners face, impartially elicit the learner's current operative hand preference, take responsibility for their left-handed students, promote acceptance and accommodation strategies of left-handed surgical trainees, and endeavor to improve the breadth of left-handed surgical resources.

Compliance control of a rehabilitation massage robot in dynamic scenes

Abstract Medical robots encounter challenges when interacting with people or operating in complex and dynamic environments due to the variability of human morphology and the unpredictability of environmental changes. Compliance of human-robot interaction is the primary goal of medical robots when in contact with the human body. Therefore, robots must be able to adaptively adjust their forces and actions to ensure safety and comfort during the contact process. This paper focuses on the compliance control of rehabilitation massage robots in dynamic scenes. We propose a mechanical arm compliance control method based on the Soft Actor-Critic (SAC) algorithm. We construct a simulated massage environment in a dynamic scene according to the task requirements and design a massage path covering the entire back. Under the framework of deep reinforcement learning, the optimal reward function is designed to achieve constant force control under dynamic scenes. Through numerous simulation experiments, we have verified that the robotic arm can move along the predetermined path under the massage while maintaining a constant contact force with the body simulation module. The actual contact force and target contact force control are realized within 0.1 N.

Association of Semaglutide With Tobacco Use Disorder in Patients With Type 2 Diabetes : Target Trial Emulation Using Real-World Data.

Reports of reduced desire to smoke in patients treated with semaglutide, a glucagon-like peptide receptor agonist (GLP-1RA) medication for type 2 diabetes mellitus (T2DM) and obesity, have raised interest about its potential benefit for tobacco use disorders (TUDs). To examine the association of semaglutide with TUD-related health care measures in patients with comorbid T2DM and TUD. Emulation target trial based on a nationwide population-based database of patient electronic health records. United States, 1 December 2017 to 31 March 2023. Seven target trials were emulated among eligible patients with comorbid T2DM and TUD by comparing the new use of semaglutide versus 7 other antidiabetes medications (insulins, metformin, dipeptidyl-peptidase-4 inhibitors, sodium-glucose cotransporter-2 inhibitors, sulfonylureas, thiazolidinediones, and other GLP-1RAs). The TUD-related health care measures (medical encounter for diagnosis of TUD, smoking cessation medication prescriptions, and smoking cessation counseling) that occurred within a 12-month follow-up were examined using Cox proportional hazards and Kaplan-Meier survival analyses. The study compared 222 942 new users of antidiabetes medications including 5967 of semaglutide. Semaglutide was associated with a significantly lower risk for medical encounters for TUD diagnosis compared with other antidiabetes medications, and was strongest compared with insulins (hazard ratio [HR], 0.68 [95% CI, 0.63 to 0.74]) and weakest but statistically significant compared with other GLP-1RAs (HR, 0.88 [CI, 0.81 to 0.96]). Semaglutide was associated with reduced smoking cessation medication prescriptions and counseling. Similar findings were observed in patients with and without a diagnosis of obesity. For most of the group comparisons, the differences occurred within 30 days of prescription initiation. Documentation bias, residual confounding, missing data on current smoking behavior, body mass index, and medication adherence. Semaglutide was associated with lower risks for TUD-related health care measures in patients with comorbid T2DM and TUD compared with other antidiabetes medications including other GLP-1Ras, primarily within 30 days of prescription. These findings suggest the need for clinical trials to evaluate semaglutide's potential for TUD treatment. National Institutes of Health.

Relative Effectiveness of the MF59-Adjuvanted Influenza Vaccine Versus High-Dose Influenza Vaccine in Older Adults With Influenza Risk Factors During the 2019-2020 US Influenza Season.

This study estimated the relative vaccine effectiveness (rVE) of the MF59-adjuvanted trivalent influenza vaccine (aTIV) versus high-dose trivalent inactivated influenza vaccine (HD-TIV) for prevention of influenza-related medical encounters (IRMEs) during the 2019-2020 United States (US) influenza season stratified by the cumulative number of influenza risk factors. A secondary objective evaluated outpatient IRMEs and influenza- and pneumonia-related hospitalizations. This retrospective cohort study included US adults ≥65 years old vaccinated with aTIV or HD-TIV between 1 August 2019 and 31 January 2020. Electronic health records linked to claims were used to ascertain exposure, covariates, risk factors, and outcomes. Multivariable adjusted odds ratios (ORs) were derived using inverse probability of treatment-weighted samples to calculate rVEs independently for individuals with 0, ≥1, 1-2, or ≥3 risk factors. The study included 1 115 725 aTIV and 2 561 718 HD-TIV recipients. For the primary outcome of any IRME, the analysis found comparable effectiveness between aTIV and HD-TIV (rVE, 5.2% [95% confidence interval {CI}, -5.9% to 15.1%]) among those with 0 risk factors, whereas aTIV was more effective than HD-TIV among patients with ≥1, 1-2, or ≥3 risk factors (12.5% [95% CI, 10.0%-15.0%], 18.4% [95% CI, 13.7%-22.9%], and 10.4% [7.4%-13.3%], respectively). The same trends were observed for the secondary outcomes. This study demonstrated comparable effectiveness of aTIV and HD-TIV among individuals with no identified risk factors and higher effectiveness of aTIV compared with HD-TIV in preventing any IRMEs, outpatient IRMEs, and influenza- or pneumonia-related hospitalizations among those with at least 1 or multiple high-risk factors in adults ≥65 years old.

Language to Support Dignity for Children With Advanced Cancer and Their Families.

Conversations about dignity are fundamental to person-centered care in pediatrics, yet practical language strategies to promote and support dignity remain understudied. To address this gap, we aimed to identify and characterize language used by pediatric oncologists to recognize and affirm dignity across advancing illness. In this longitudinal prospective study, we audio-recorded serial disease reevaluation encounters between pediatric oncologists, children with cancer, and families across 24 months or until the child's death. Using a hybrid deductive-inductive qualitative approach, we defined dignity language a priori on the basis of existing descriptions of dignity in the literature and then conducted a content analysis to refine the definition specific to pediatric cancer care before coding serial medical encounters. Thematic frequencies were reported by using descriptive statistics. A total of 91 discussions at timepoints of disease progression were audio-recorded for 36 patients and their families. No dignity language was identified in nearly half (45%) of "bad news" encounters, and the time spent by the oncologist engaging in dignity language represented a minority (<7%) of overall recorded dialogue. Within coded dialogue, we characterized 3 key themes upholding dignity language (empowerment, autonomy, respect). Opportunities exist to improve dignity communication in childhood cancer, and the authors propose a conceptual model ("Lend an EAR") to guide dignity-based communication in pediatric cancer. Future research should emphasize patient and parent perspectives on language to support dignity for children with advanced cancer, with stakeholder-driven refinement of the Lend an EAR model before integration and testing in communication skills training programs.

Racial, Ethnic, and Language Inequities in Ambulatory Pediatrics Patient Family Experience

ObjectiveTo determine the association of patient race, patient-provider racial congruence, patient ethnicity, and family primary language with patient family experience (PFE) survey responses. MethodsCross-sectional review of PFE survey responses from all ambulatory medical encounters at a large, urban children’s hospital system June 1, 2020—May 31, 2022. Exposures were patient race, patient-provider racial congruence, patient ethnicity, and family primary language. We adjusted analyses for neighborhood-level socioeconomic deprivation, patient sex and age, encounter specialty, and location of care. Outcomes were PFE survey scores for five questions focused on overall experience, respect, and safety; categorized using industry standard metric of presence of a “top-box” score, defined as a nine or 10 for questions on an 11-point scale or as four on a four-point scale. ResultsWe included 89,175 surveys (15.6% response rate). The odds of having optimal, “top-box” responses for several assessed questions were lower for patients identified as Asian (eg, adjusted odds ratio [OR] 0.46; 95% confidence interval [CI] 0.40, 0.52) or Black (eg, OR 0.65; CI 0.60, 0.70) compared to White, and for Hispanic (eg, OR 0.84; CI 0.72, 0.97) compared to non-Hispanic. Similarly, the odds of having “top-box” scores were lower for Spanish-primary-language (eg, OR 0.38; CI 0.30, 0.48) compared to English-primary-language patients. Patient-provider racial congruence had higher odds of “top-box” responses for two of five assessed questions (eg, OR 1.18; CI 1.04, 1.35). ConclusionsWe found previously unreported inequities in ambulatory pediatric PFE outcomes, with worse experiences reported by Asian, Black, Hispanic, and Spanish-language patients.

An Approach to Potentially Increasing Adoption of an Artificial Intelligence-Enabled Electronic Medical Record Encounter in Canadian Primary Care: Protocol for a User-Centered Design.

Primary care physicians are at the forefront of the clinical process that can lead to diagnosis, referral, and treatment. With electronic medical records (EMRs) being introduced and, over time, gaining acceptance by primary care users, they have now become a standard part of care. EMRs have the potential to be further optimized with the introduction of artificial intelligence (AI). There has yet to be a widespread exploration of the use of AI in primary health care and how clinicians envision AI use to encourage further uptake. The primary objective of this research is to understand if the user-centered design approach, rooted in contextual design, can lead to an increased likelihood of adoption of an AI-enabled encounter module embedded in a primary care EMR. In this study, we use human factor models and the technology acceptance model to understand the results. To accomplish this, a partnership has been established with an industry partner, TELUS Health, to use their EMR, the collaborative health record. The overall intention is to understand how to improve the user experience by using user-centered design to inform how AI should be embedded in an EMR encounter. Given this intention, a user-centered approach will be used to accomplish it. The approach of user-centered design requires qualitative interviewing to gain a clear understanding of users' approaches, intentions, and other key insights to inform the design process. A total of 5 phases have been designed for this study. As of March 2024, a total of 14 primary care clinician participants have been recruited and interviewed. First-cycle coding of all qualitative data results is being conducted to inform redesign considerations. Some limitations need to be acknowledged related to the approach of this study. There is a lack of market maturity of AI-enabled EMR encounters in primary care, requiring research to take place through scenario-based interviews. However, this participant group will still help inform design considerations for this tool. This study is targeted for completion in the late fall of 2024. DERR1-10.2196/54365.

Chondroitin Sulfate and Hyaluronic Acid-Based PolyHIPE Scaffolds for Improved Osteogenesis and Chondrogenesis In Vitro.

Osteochondral damage, affecting the articular cartilage and the underlying subchondral bone, presents significant challenges in clinical treatment. Such defects, commonly seen in knee and ankle joints, vary from small localized lesions to larger defects. Current medical therapies encounter several challenges, such as donor shortages, drug side effects, high costs, and rejection problems, often resulting in only temporary relief. Highly porous emulsion-templated polymers (polyHIPEs) offer numerous potential benefits in the fabrication of scaffolds for tissue engineering and regenerative medicine. Polymeric scaffolds synthesized using a high internal phase emulsion (HIPE) technique, called PolyHIPEs, involve polymerizing a continuous phase surrounding a dispersed internal phase to form a solid, foam-like structure. A dense, porous design encourages cell ingrowth, nutrient delivery, and waste disposal from the scaffold, mimicking the cells' natural microenvironment. This study used hydroxyethyl methacrylate (HEMA) and acrylamide (AAM) polyHIPE scaffolds combined with extracellular matrix (ECM) components of the tissue, such as methacrylated hyaluronic acid (MHA) and methacrylated chondroitin sulfate (MCS), to prepare polyHIPE scaffolds. The mouse preosteoblast MC3T3-E1 cells and primary rat chondrocytes (harvested from male Wistar rats) were seeded on the scaffolds and cultured for 21 days to assess the osteogenesis and chondrogenesis in vitro. When compared to the AAM-MHA and AAM-MCS groups at day 21, scaffold groups HEMA-MHA and HEMA-MCS showed a significant rise in alkaline phosphatase (ALP) and calcium content. Chondrogenic markers such as glycosaminoglycan (GAG) and hydroxyproline were also assessed over a 21-day time point. On day 21, it was found that GAG and hydroxyproline production were considerably higher in the HEMA-MHA and HEMA-MCS scaffolds than in the AAM-MHA and AAM-MCS scaffolds. The overall studies showed that polyHIPE monolith scaffolds could favor cell adherence, survival ability, proliferation, differentiation, and ECM formation over 21 days. Thus, incorporating ECM components enhanced osteogenesis and chondrogenesis in vitro and can be further used as tissue repair models.