Large Academic Medical Center Research Articles

B-154 Characterizing Ability of the Serum Potassium (K) to Flag Hypokalemia or Hyperkalemia as Observed in Plasma: A Simulation Study

Abstract Background Plasma has long been the recommended specimen type for K measurement. However, serum usage persists, including use due to recent plasma tube shortages. In comparison to plasma K, serum K is generally right-shifted (higher). This shift varies across individual samples according to a normal distribution. Consequentially, K results outside of the population reference interval (RI) for plasma (hypokalemia or hyperkalemia) are unlikely to be strictly concordant with classification in serum according to the serum RI. Serum may thus have a lower sensitivity to detect either hypokalemia or hyperkalemia relative to plasma. We examined this premise from a theoretical standpoint by simulation. Methods We used longstanding and widely implemented textbook K reference intervals (Tietz, 4th Ed.) for plasma (PRI = 3.4–4.5 mmol/L) and serum (SRI = 3.5–5.1 mmol/L). The difference between plasma K and serum K is characterized by a normally distributed function where serum = plasma + 0.35 ± 0.3 mmol/L. This transformation was applied to an at-large patient data distribution from a large academic medical center to generate a theoretical serum K distribution from real world plasma patient K results. The simulated serum K data were characterized as to whether hypokalemic and hyperkalemic plasma K specimens as defined by PRI were also classified in serum as being either below or above lower and upper limits of SRI, respectively. Results Primary data were a plasma K patient distribution for a three month interval (n = 59 570; median = 4.1 mmol/L; hypokalemia = 6.5%; hyperkalemia = 16.7%). Simulated serum K data from the plasma transformation (n = 100 000) yielded a right-shifted distribution (median = 4.4 mmol/L) with 4.1% of results below the lower limit of SRI, and 11.4% of results above the upper limit of SRI. For samples originating as hypokalemic according to the PRI, sensitivity for detection by being flagged as below the lower limit of the SRI was 44.1% (specificity = 98.7%). For samples originating as hyperkalemic according to the PRI, sensitivity for detection by being flagged as above the upper limit of the SRI was 58.7% (specificity = 97.6%). Conclusions Simulation results indicate that serum K should best be thought of as an inferior substitute marker for plasma K. Depending on reference intervals employed, sensitivity of serum RI for detection either of plasma hypokalemia or hyperkalemia may be significantly less than 100%. This can result in a significant degree of misidentification of hyperkalemia or hyperkalemia as being within SRI. In our simulation, 55.9% of plasma hypokalemia results were in serum classified as being within the SRI; 41.3% of plasma hyperkalemia results were in serum classified as being within the SRI. Additionally, note that a switch from serum to plasma will likely precipitate a significant increase in flag rates for plasma K outside of the PRI compared to flag rates observed for serum K outside of the SRI. These results follow simply from the fact that serum K includes a random component not present in plasma.

Stress Symptoms Among Children and Their Parents After ICU Hospitalization.

Objective: Child survival after intensive care unit (ICU) hospitalization has increased, yet many children experience acute stress that may precipitate mental/behavioral health comorbidities. Parents report stress after their child's hospitalization. Little is known about the individual and family characteristics that may moderate intergenerational relationships of acute stress. Design: Following ICU admission at a large academic medical center, a prospective cross-sectional cohort study assessed the associations between intergenerational characteristics and acute stress among children and families. Patients: Parent-child dyads (N = 88) were recruited from the pediatric ICU and pediatric cardiovascular ICU (CVICU) following ICU discharge. Eligible children were between 8 and 18 years old with ICU stays longer than 24 hours. Children with developmental delays were excluded. Caregivers were proficient in English or Spanish. Surveys were collected before hospital discharge. Measurements/Main Results: The primary outcome was "child stress" defined as a score≥17, measured by the Children's Revised Impact of Events Scale (CRIES-8). "Parent stress" was defined as an elevated composite score on the Stanford Acute Stress Reaction Questionnaire. We used validated scales to assess the child's clinical and family social characteristics. Acute stress was identified in 34 (39.8%) children and 50 (56.8%) parents. In multivariate linear regression analyses adjusting for social characteristics, parent stress was associated with increased risk of child stress (adjusted odds ratio 2.58, 95% confidence interval 0.69, 4.46, p < .01). In unadjusted analyses, Hispanic ethnicity was associated with greater child stress. In adjusted analyses, race, income, ICU length of stay, and language were not associated with child stress and did not moderate the parent-child stress relationship. Conclusions: Parent stress is closely correlated with child stress during ICU hospitalization. Hispanic ethnicity may be associated with increased risk for child stress, but further studies are required to define the roles of other social and clinical measures.

Comfort Levels of Outpatient Health Care Professionals When Asking About Substance Use-Related Sexual Activity: A Pilot Survey.

Screening, brief intervention, and referral to treatment (SBIRT) is an evidence-based intervention for substance use. Health care professionals may not receive SBIRT training or know of substance use's intersection with sexual activity. This pilot survey inquired about SBIRT training history, attitudes, and comfort among outpatient health care professionals, including assessing sexual activity-related use. We conducted a snowball cross-sectional survey of outpatient health care professionals at a large southeastern academic medical center in June 2021 with 4-point Likert questions covering demographics, substance use attitudes, SBIRT training history, and comfort implementing SBIRT. Analysis used descriptive statistics and stratification by demographic and practice characteristics. Seventy-three professionals responded, of whom 82% were White and 66% were female. Forty-seven percent were 30 to 39 years old, 33% were internal medicine professionals, and 59% reported previous SBIRT training. All participants reported believing substance use is a significant health issue. Most reported that they were comfortable or somewhat comfortable assessing patients for substance use (85%), dropping to 60% discussing sexual activity. Advanced practice providers and physicians identified more comfort with rapport building around substance use than other health care respondents. Professionals in infectious diseases and psychiatry reported the greatest comfort assessing substance use with concurrent sexual activity. There are gaps in SBIRT training and beliefs among health care professionals. Although health care workers report that assessing substance use is important, some professionals endorsed more comfort discussing substance use with patients than others, especially when inquiring about sexual activity. Future work could replicate the pilot to inform increasing comfort through training in the intersection of substance use and sexuality.

Beyond the override: Using evidence of previous drug tolerance to suppress drug allergy alerts; a retrospective study of opioid alerts

ObjectiveDespite the extensive literature exploring alert fatigue, most studies have focused on describing the phenomenon, but not on fixing it. The authors aimed to identify data useful to avert clinically irrelevant alerts to inform future research on clinical decision support (CDS) design. MethodsWe conducted a retrospective observational study of opioid drug allergy alert (DAA) overrides for the calendar year of 2019 at a large academic medical center, to identify data elements useful to find irrelevant alerts to be averted. ResultsOverall, 227,815 DAAs were fired in 2019, with an override rate of 91 % (n = 208196). Opioids represented nearly two-thirds of these overrides (n = 129063; 62 %) and were the drug class with the highest override rate (96 %). On average, 29 opioid DAAs were overridden per patient. While most opioid alerts (97.1 %) are fired for a possible match (the drug class of the allergen matches the drug class of the prescribed drug), they are overridden significantly less frequently for definite match (exact match between allergen and prescribed drug) (88 % vs. 95.9 %, p < 0.001). When comparing the triggering drug with previously administered drugs, override rates were equally high for both definite match (95.9 %), no match (95.5 %), and possible match (95.1 %). Likewise, when comparing to home medications, overrides were excessively high for possible match (96.3 %), no match (96 %), and definite match (94.4 %). ConclusionWe estimate that 74.5% of opioid DAAs (46.4% of all DAAs) at our institution could be relatively safely averted, since they either have a definite match for previous inpatient administrations suggesting drug tolerance or are fired as possible match with low risk of cross-sensitivity. Future research should focus on identifying other relevant data elements ideally with automated methods and use of emerging standards to empower CDS systems to suppress false-positive alerts while avoiding safety hazards.

Vascular Access-Related Distal Ischemia Requiring Intervention: Frequency, Risk Factors, and Consequences.

Distal ischemia is a rare complication in patients undergoing placement of an arteriovenous (AV) fistula or AV graft. There are limited studies on its frequency, risk factors, clinical consequences, or feasibility of subsequent access. A prospective vascular access database from a large academic medical center was queried retrospectively to identify 1498 patients (mean age 56±15 years, 48% female patients, 73% Black patients) undergoing placement of at least one vascular access from 2011 to 2020. For patients who developed access-related distal ischemia requiring surgical intervention, we determined the frequency of distal ischemia, clinical risk factors, and subsequent outcomes. Severe access-related distal ischemia occurred in 28 patients (1.9%; 95% confidence interval, 1.3% to 2.7%). The frequency was 0.2% for forearm AV fistulas, 0.9% for upper arm AV fistulas, 2.4% for forearm AV grafts, 2.2% for upper arm AV grafts, and 2.8% for thigh AV grafts. Risk factors independently associated with distal ischemia included female sex (odds ratio [OR], 3.64 [95% confidence interval, 1.52 to 8.72]), peripheral vascular disease (OR, 6.28 [2.84 to 13.87]), and coronary artery disease (OR, 2.37 [1.08 to 5.23]). Surgical interventions included ligation, excision, plication (banding), and other surgical procedures. Five patients developed tissue necrosis. A subsequent AV graft was placed in 13 patients, of whom only one (8%) developed distal ischemia requiring intervention. Access-related distal ischemia requiring intervention was rare in this study and more common in women and patients with peripheral vascular disease or coronary artery disease. In some cases, a subsequent vascular access could be placed with a low likelihood of recurrent distal ischemia.

Let Us Know Transfusion Triggers for Prophylactic Use of Platelet Concentrate-Analysis of Compliance with Recent Transfusion Guidelines in a Large Academic Medical Center.

Platelet concentrate (PC) is a blood component that is used to prevent or manage bleeding associated with thrombocytopenia or impaired platelet function. The aim of our study was to assess the compliance of ordering physicians with the most recent PC transfusion guidelines in our academic medical center. All PC transfusions performed between January 2019 and December 2022 were analyzed. The appropriateness of PC transfusions was assessed based on the most recent PC transfusion guidelines. During 2019-2022, there were 362 (0.2%) PC recipients out of 161,762 hospitalized patients. There were 971 PCs transfused during the analyzed period. Inappropriate transfusions accounted for 53.3% of cases, and most of them were given prophylactically (80.2%). Compliance with platelet transfusion guidelines varied among departments. The overall percentage of inappropriately transfused PC ranged from 50.7% to 60.8% in successive years. Educational activities should target clinicians performing procedures associated with high rates of inappropriate PC transfusions. Implementing clinical decision support systems can help reduce unnecessary PC transfusions and associated costs. The majority of inappropriate PC transfusions in our medical center were given as prophylaxis against bleeding. Prescribers should be educated about evidence-based transfusion triggers for the prophylactic use of PC in various clinical scenarios.

Predictors of missed HIV screening opportunities among newly diagnosed individuals at an urban medical center in New York City, 2018-2022.

To identify demographic and clinical factors predictive of having a missed opportunity (MO) for HIV screening. Retrospective cohort study. Electronic medical records were queried for individuals newly diagnosed with HIV in different sites within a large urban academic medical center in New York City between 2018 and 2022. The primary outcome was having one or more MO for HIV screening within the institution, defined as any encounter at which screening was not performed in the 365 days preceding the HIV diagnosis. Over one third of new diagnoses had at least one MO in the preceding year. Older individuals, cisgender women and those assigned female sex at birth, and heterosexual individuals were more likely to have at least one MO. An initial CD4 < 200 cells/ul was more likely among men who have sex with women specifically. Most MOs occurred in the emergency department and outpatient settings, with minimal HIV prevention discussions documented during each MO. These findings suggest that populations perceived to be at lower risk for HIV are more likely to have MOs and possibly late diagnoses, and that universal HIV screening must be implemented into the workflows of emergency department and outpatient settings to facilitate early diagnosis and reduce the incidence of HIV.

Reducing Physical Therapy Consults for Patients With High Functional Mobility in the Acute Medical Inpatient Setting: A Difference-in-Difference Analysis

ObjectiveTo evaluate the effectiveness of clinical decision support for reducing misallocation of physical therapy (PT) consults. DesignA prospective quasi-experimental study. Between October 2018 and November 2021, routinely documented data on functional status and physical therapy referrals were collected from electronic medical records. SettingHospital Medicine and General Internal Medicine service lines at a large quaternary academic medical center. Participants20,810 adult patients hospitalized on any of the included treatment (hospital medicine) or control (general internal medicine) service lines. Main Outcome MeasureThe primary outcome was “change in proportion of misallocated PT consults” measured as likelihood of PT consults for patients admitted with high functional mobility scores. Changes in the primary outcome from the pre-intervention to post-intervention period were compared in the control and treatment groups using propensity score–weighted difference-in-differences multivariable logit regression adjusting for clinically relevant covariates. InterventionThe intervention period was measured for 20 months and consisted of a clinical decision support tool embedded in the daily note templates for hospital medicine providers. The tool provided education on patient mobility scores and their relation to need for PT consult. The tool was rolled out without any further announcements or education. ResultsOur cohort included 20,810 unique admissions (mean age 58.9, 55% women, 83% Black). Post-intervention, the likelihood of PT referrals for patients with high baseline mobility (AM-PAC >18) decreased by 7.3% (P<.001) for the treatment group compared with control, adjusted for age, sex, race, ethnicity, length-of-stay, and mobility change. ConclusionMobility score-based clinical decision support can decrease unneeded PT consults in the inpatient setting. This could help allocate therapy time for at-risk patients while also having a positive effect on health care systems.

Association of Coronary Artery Calcium Detected by Routine Ungated CT Imaging With Cardiovascular Outcomes

BackgroundCoronary artery calcium (CAC) is a strong predictor of cardiovascular events across all racial and ethnic groups. CAC can be quantified on nonelectrocardiography (ECG)-gated computed tomography (CT) performed for other reasons, allowing for opportunistic screening for subclinical atherosclerosis. ObjectivesThe authors investigated whether incidental CAC quantified on routine non–ECG-gated CTs using a deep-learning (DL) algorithm provided cardiovascular risk stratification beyond traditional risk prediction methods. MethodsIncidental CAC was quantified using a DL algorithm (DL-CAC) on non–ECG-gated chest CTs performed for routine care in all settings at a large academic medical center from 2014 to 2019. We measured the association between DL-CAC (0, 1-99, or ≥100) with all-cause death (primary outcome), and the secondary composite outcomes of death/myocardial infarction (MI)/stroke and death/MI/stroke/revascularization using Cox regression. We adjusted for age, sex, race, ethnicity, comorbidities, systolic blood pressure, lipid levels, smoking status, and antihypertensive use. Ten-year atherosclerotic cardiovascular disease risk was calculated using the pooled cohort equations. ResultsOf 5,678 adults without ASCVD (51% women, 18% Asian, 13% Hispanic/Latinx), 52% had DL-CAC >0. Those with DL-CAC ≥100 had an average 10-year ASCVD risk of 24%; yet, only 26% were on statins. After adjustment, patients with DL-CAC ≥100 had increased risk of death (HR: 1.51; 95% CI: 1.28-1.79), death/MI/stroke (HR: 1.57; 95% CI: 1.33-1.84), and death/MI/stroke/revascularization (HR: 1.69; 95% CI: 1.45-1.98) compared with DL-CAC = 0. ConclusionsIncidental CAC ≥100 was associated with an increased risk of all-cause death and adverse cardiovascular outcomes, beyond traditional risk factors. DL-CAC from routine non–ECG-gated CTs identifies patients at increased cardiovascular risk and holds promise as a tool for opportunistic screening to facilitate earlier intervention.

JAAD Game Changer: Improved patient access and outcomes with the integration of an eConsult program (teledermatology) within a large academic medical center

JAAD Game Changer: Improved patient access and outcomes with the integration of an eConsult program (teledermatology) within a large academic medical center

Geospatial distribution of HPV genotypes in the catchment area of a large academic medical center is not associated with area deprivation (2107)

Geospatial distribution of HPV genotypes in the catchment area of a large academic medical center is not associated with area deprivation (2107)

Mobile Technology to Monitor and Support Health and Well-Being: Qualitative Study of Perspectives and Design Suggestions From Patients Undergoing Hematopoietic Cell Transplantation.

In the United States, hematopoietic stem cell transplant (HCT) surpasses 22,000 procedures annually. Due to the demanding and time-intensive process of an HCT, patients and family care partners face unique challenges involving their health and well-being. Positive psychology interventions (PPIs) may offer potential solutions to help boost health and well-being. This study aimed to explore and understand patients' experiences and perceptions about the use of the Roadmap 2.0 app, specifically its PPI features, during the acute phase of HCT. From an ongoing randomized controlled trial, HCT patients (n=17) were recruited to participate in semistructured qualitative interviews between October 2022 and January 2023 within a large academic medical center in the Midwestern states. Using a qualitative descriptive approach, interviews were conducted in person or via Zoom. The data were analyzed through constant comparative analysis. The Consolidated Criteria for Reporting Qualitative Research (COREQ) guidelines were followed. The majority of the participants reported Roadmap 2.0 as easy to use and enjoyed the ability to track their health data (eg, steps, mood, sleep; 9/17). Regarding the use of PPIs during the acute phase of treatment, 88% of the participants reported interest in participating in PPIs, specifically the Pleasant Activity Scheduling (11/17) followed by Gratitude Journaling (7/17) activities. Additionally, participants provided recommendations on adapting Roadmap 2.0. The major recommendations were (1) "Working Together: Need for Dyadic Involvement," (2) "Connectivity with Other Patients," and (3) "Gap in Nutritional Support." Participants (10/17) expressed the importance of caregiver involvement in activities beyond treatment-related management for maintaining healthy patient-caregiver dyadic relationships. They also expressed their desire for connectivity with other patients undergoing HCT, primarily for comparing experiences and discussing topics such as symptom management (8/17). Lastly, participants identified a gap in nutritional support during the HCT process and expressed interest in an intervention that could promote healthy eating through education and notification reminders (9/17). Participants openly expressed their eagerness to participate in research studies that foster connection and positive relationships with their caregivers as well as with other HCT patients. They emphasized the significance of having access to nutritional support or guidance and highlighted the potential benefits of using mobile technology to enhance these collective efforts. ClinicalTrials.gov NCT04094844; https://clinicaltrials.gov/study/NCT04094844. RR2-10.2196/19288.

What students say to be ready for acute care: Implications for preceptors.

Student readiness for clinical education experiences is an important variable for clinical preceptors. Readiness has been reported from the viewpoints of clinicians, academic faculty, clinical preceptors, employers and novice graduate physical therapists. Perspectives from physical and occupational therapy students could better prepare preceptors in the acute care setting. Thematic analysis was conducted following the approach described by Braun and Clarke. The purpose of this study was to describe physical and occupational therapy student perceptions of readiness for full-time acute care clinical education experiences. Twenty-one physical and occupational therapy students in process of completing full-time clinical education experiences at a large academic medical centre were qualitatively interviewed in small groups. A two-stage iterative process of thematic inquiry was used to induce themes about student readiness for full-time acute care clinical experiences. Transcription, coding and thematic analysis were completed. Students also completed a one-time questionnaire with demographic and learner characteristic scales. Participants were on average 26.4years old, predominantly female and White, and had completed one full-time clinical education experience prior to participation. Four major thematic categories of student readiness for acute care clinical experiences emerged: (1) mindset and willingness; (2) knowledge and experience; (3) communication and collaboration; and (4) planning and prioritising. Students report their readiness is facilitated by preceptors who can model flexibility, foster communication that promotes clinical reasoning, implement an orientation to the acute care culture and learning resources and scaffold roles and responsibilities to aid professional authority.

Adding Pals to KidneyPal: Creating a Virtual Patient and Family Advisory Council for Kidney Palliative Care.

Patient and family advisory councils (PFACs) represent one method of engaging patients and families in clinical program development and research, but existing practices too often exclude marginalized and minority voices. As a kidney palliative care team (KidneyPal) at a large academic medical center, we sought to create a PFAC that explicitly considered equity and inclusion in its approach to advisor recruitment. We developed two major innovations to reduce selection bias in our KidneyPal PFAC: adaptation to an entirely virtual process and alteration of the advisor recruitment and enrollment process. We eliminated several potential barriers to participation for our patients and their family members, a population with higher rates of advanced age, nonwhite ethnicity, and limited English proficiency than the local general population. We removed application requirements including lengthy online training modules, detailed employment history, a personal essay, and a criminal background check. The KidneyPal PFAC may act as a model for improving equity and inclusion in virtual patient advisory councils.

Participant Perceptions of Augmented Reality Simulation for Cardiac Anesthesiology Training: A Prospective, Mixed-Methods Study.

Simulations are a critical component of anesthesia education, and ways to broaden their delivery and accessibility should be studied. The primary aim was to characterize anesthesiology resident, fellow, and faculty experience with augmented reality (AR) simulations. The secondary aim was to explore the feasibility of quantifying performance using integrated eye-tracking technology. This was a prospective, mixed-methods study using qualitative thematic analysis of user feedback and quantitative analysis of gaze patterns. The study was conducted at a large academic medical center in Northern California. Participants included 7 anesthesiology residents, 6 cardiac anesthesiology fellows, and 5 cardiac anesthesiology attendings. Each subject participated in an AR simulation involving resuscitation of a patient with pericardial tamponade. Postsimulation interviews elicited user feedback, and eye-tracking data were analyzed for gaze duration and latency. Thematic analysis revealed 5 domains of user experience: global assessment, spectrum of immersion, comparative assessment, operational potential, and human-technology interface. Participants reported a positive learning experience and cited AR technology's portability, flexibility, and cost-efficiency as qualities that may expand access to simulation training. Exploratory analyses of gaze patterns suggested that trainees had increased gaze duration of vital signs and gaze latency of malignant arrythmias compared with attendings. Limitations of the study include lack of a control group and underpowered statistical analyses of gaze data. This study suggests positive user perception of AR as a novel modality for medical simulation training. AR technology may increase exposure to simulation education and offer eye-tracking analyses of learner performance.

Rapid implementation of an emergency on-site CKRT dialysate production system during the COVID-19 pandemic

BackgroundOn December 29, 2021, during the delta wave of the Coronavirus Disease 2019 (COVID-19) pandemic, the stock of premanufactured solutions used for continuous kidney replacement therapy (CKRT) at the University of New Mexico Hospital (UNMH) was nearly exhausted with no resupply anticipated due to supply chain disruptions. Within hours, a backup plan, devised and tested 18 months prior, to locally produce CKRT dialysate was implemented. This report describes the emergency implementation and outcomes of this on-site CKRT dialysate production system.MethodsThis is a single-center retrospective case series and narrative report describing and reporting the outcomes of the implementation of an on-site CKRT dialysate production system. All adults treated with locally produced CKRT dialysate in December 2021 and January 2022 at UNMH were included. CKRT dialysate was produced locally using intermittent hemodialysis machines, hemodialysis concentrate, sterile parenteral nutrition bags, and connectors made of 3-D printed biocompatible rigid material. Outcomes analyzed included dialysate testing for composition and microbiologic contamination, CKRT prescription components, patient mortality, sequential organ failure assessment (SOFA) scores, and catheter-associated bloodstream infections (CLABSIs).ResultsOver 13 days, 22 patients were treated with 3,645 L of locally produced dialysate with a mean dose of 20.0 mL/kg/h. Fluid sample testing at 48 h revealed appropriate electrolyte composition and endotoxin levels and bacterial colony counts at or below the lower limit of detection. No CLABSIs occurred within 7 days of exposure to locally produced dialysate. In-hospital mortality was 81.8% and 28-day mortality was 68.2%, though illness severity was high, with a mean SOFA score of 14.5.ConclusionsThough producing CKRT fluid with IHD machines is not novel, this report represents the first description of the rapid and successful implementation of a backup plan for local CKRT dialysate production at a large academic medical center in the U.S. during the COVID-19 pandemic. Though conclusions are limited by the retrospective design and limited sample size of our analysis, our experience could serve as a guide for other centers navigating similar severe supply constraints in the future.

Assessing the accuracy of electronic health record gender identity and REaL data at an academic medical center

BackgroundCollection of accurate patient race, ethnicity, preferred language (REaL) and gender identity in the electronic health record (EHR) is essential for equitable and inclusive care. Misidentification of these factors limits quality measurement of health outcomes in at-risk populations. Therefore, the aim of our study was to assess the accuracy of REaL and gender identity data at our institution.MethodsA survey was administered to 117 random patients, selected from prior day admissions at a large academic medical center in urban central New York. Patients (or guardians) self-reported REaL and gender identity data, selecting from current EHR options. Variables were coded for the presence or absence of a difference from data recorded in the EHR.ResultsRace was misreported in the EHR for 13% of patients and ethnicity for 6%. For most White and Black patients, race was concordant. However, self-identified data for all multiracial patients were discordant with the EHR. Most Non-Hispanic patients had ethnicity correctly documented. Some Hispanic patients were misidentified. There was a significant association between reporting both a race and an ethnicity which differed from the EHR on chi square analysis (P < 0.001). Of those who reported an alternative ethnicity, 71.4% also reported an alternative race. Gender identity was missing for most patients and 11% of the gender-identity entries present in the EHR were discordant with the patient’s self-identity. Preferred language was 100% concordant with the EHR.ConclusionsAt an academic medical center, multiracial and Hispanic patients were more likely to have their demographics misreported in the EHR, and gender identity data were largely missing. Healthcare systems need strategies that support accurate collection of patients’ self-reported ReAL and gender identity data to improve the future ability to identify and address healthcare disparities.

Comparing Natural Language Processing and Structured Medical Data to Develop a Computable Phenotype for Patients Hospitalized Due to COVID-19: Retrospective Analysis.

Throughout the COVID-19 pandemic, many hospitals conducted routine testing of hospitalized patients for SARS-CoV-2 infection upon admission. Some of these patients are admitted for reasons unrelated to COVID-19, and incidentally test positive for the virus. Because COVID-19-related hospitalizations have become a critical public health indicator, it is important to identify patients who are hospitalized because of COVID-19 as opposed to those who were admitted for other indications. We compared the performance of different computable phenotype definitions for COVID-19 hospitalizations that use different types of data from the electronic health records (EHR), including structured EHR data elements, provider notes, or a combination of both data types. We conducted a retrospective data analysis utilizing clinician chart review-based validation at a large academic medical center. We reviewed and analyzed the charts of 586 hospitalized individuals who tested positive for SARS-CoV-2 during January 2022. We used LASSO regression and Random Forests to fit classification algorithms that incorporated structured EHR data elements, provider notes, or a combination of structured data and provider notes. We used natural language processing to incorporate data from provider notes. The performance of each model was evaluated based on Area Under the Receiver Operator Characteristic (AUROC) and an associated decision rule based on sensitivity and positive predictive value. We also identified top words and clinical indicators of COVID-19-specific hospitalization and assessed the impact of different phenotyping strategies on estimated hospital outcome metrics. Based on a chart review, 38% of 586 patients were determined to be hospitalized for reasons other than COVID-19 despite having tested positive for SARS-CoV-2. A computable phenotype that used provider notes had significantly better discrimination than one that used structured EHR data elements (AUROC: 0.894 vs 0.841, P < .001), and performed similarly to a model that combined provider notes with structured data elements (AUROC: 0.894 vs 0.893). Assessments of hospital outcome metrics significantly differed based on whether the population included all hospitalized patients who tested positive for SARS-CoV-2 versus those who were determined to have been hospitalized due to COVID-19. These findings highlight the importance of cause-specific phenotyping for COVID-19 hospitalizations. More generally, this work demonstrates the utility of natural language processing approaches to derive information related to patient hospitalizations in cases where there may be multiple conditions that could serve as the primary indication for hospitalization.

An Electronic Health Record-Based Automated Self-Rescheduling Tool to Improve Patient Access: Retrospective Cohort Study.

In many large health centers, patients face long appointment wait times and difficulties accessing care. Last-minute cancellations and patient no-shows leave unfilled slots in a clinician's schedule, exacerbating delays in care from poor access. The mismatch between the supply of outpatient appointments and patient demand has led health systems to adopt many tools and strategies to minimize appointment no-show rates and fill open slots left by patient cancellations. We evaluated an electronic health record (EHR)-based self-scheduling tool, Fast Pass, at a large academic medical center to understand the impacts of the tool on the ability to fill cancelled appointment slots, patient access to earlier appointments, and clinical revenue from visits that may otherwise have gone unscheduled. In this retrospective cohort study, we extracted Fast Pass appointment offers and scheduling data, including patient demographics, from the EHR between June 18, 2022, and March 9, 2023. We analyzed the outcomes of Fast Pass offers (accepted, declined, expired, and unavailable) and the outcomes of scheduled appointments resulting from accepted Fast Pass offers (completed, canceled, and no-show). We stratified outcomes based on appointment specialty. For each specialty, the patient service revenue from appointments filled by Fast Pass was calculated using the visit slots filled, the payer mix of the appointments, and the contribution margin by payer. From June 18 to March 9, 2023, there were a total of 60,660 Fast Pass offers sent to patients for 21,978 available appointments. Of these offers, 6603 (11%) were accepted across all departments, and 5399 (8.9%) visits were completed. Patients were seen a median (IQR) of 14 (4-33) days sooner for their appointments. In a multivariate logistic regression model with primary outcome Fast Pass offer acceptance, patients who were aged 65 years or older (vs 20-40 years; P=.005 odds ratio [OR] 0.86, 95% CI 0.78-0.96), other ethnicity (vs White; P<.001, OR 0.84, 95% CI 0.77-0.91), primarily Chinese speakers (P<.001; OR 0.62, 95% CI 0.49-0.79), and other language speakers (vs English speakers; P=.001; OR 0.71, 95% CI 0.57-0.87) were less likely to accept an offer. Fast Pass added 2576 patient service hours to the clinical schedule, with a median (IQR) of 251 (216-322) hours per month. The estimated value of physician fees from these visits scheduled through 9 months of Fast Pass scheduling in professional fees at our institution was US $3 million. Self-scheduling tools that provide patients with an opportunity to schedule into cancelled or unfilled appointment slots have the potential to improve patient access and efficiently capture additional revenue from filling unfilled slots. The demographics of the patients accepting these offers suggest that such digital tools may exacerbate inequities in access.

Factors to consider with estimated low-density lipoprotein cholesterol using the new Sampson/NIH equation

IntroductionThe most commonly utilized method for determining low-density lipoprotein cholesterol (LDLc) is by Friedewald estimation (FeLDLc). A new approach to better estimate LDLc has been proposed by Sampson et al. 2020, known as the Sampson/National Institutes of Health (NIH) estimation of LDLc (NeLDLc), to overcome the limitations of FeLDLc. Non-high-density lipoprotein-cholesterol (Non-HDLc), has equivalent cut-offs to LDLc, established by the 2021 Canadian Cardiovascular Society (CCS) guideline. We hypothesized that NeLDLc remains an inadequate substitute at high triglyceride levels when compared to Non-HDLc. MethodsA retrospective analysis of 120,959 lipid profiles (47085 patients) spanning five years across a large academic medical center was utilized for comparison of NeLDLc and FeLDLc relative to Non-HDLc as a function of triglyceride content. Regression and concordance between calculated methods were determined at various triglyceride levels to determine optimal utilization of NeLDLc. ResultsNeLDLc is generally more correlated and has greater concordance than FeLDLc with Non-HDLc. NeLDLc with increasing triglycerides can produce negatively erroneous results, even with triglycerides < 4.52 mmol/L (400 mg/dL). The largest variation of NeLDLc results is notable at < 0.5 mmol/L (19 mg/dL). Currently, the 2021 CCS guideline recommends reliance on Non-HDLc when triglycerides are > 1.5 mmol/L (133 mg/dL). With the use of NeLDLc, this triglyceride cut-off can be increased to 1.7 mmol/L(150 mg/dL), making it consistent with the hypertriglyceridemia flagging limit. ConclusionNeLDLc offers increased concordance and correlation to Non-HDLc when compared to FeLDLc. However, caution is warranted when triglycerides are > 4.5 mmol/L and when NeLDLc results are < 0.5 mmol/L. Adopting NeLDLc enables flagging at 1.7 mmol/L (vs. 1.5 mmol/L) of triglycerides to suggest reliance on Non-HDLc while simultaneoulsly indicating hypertriglyceridemia.