Large Healthcare System Research Articles

Effect of a behavioral nudge on adoption of an electronic health record-agnostic pulmonary embolism risk prediction tool: a pilot cluster nonrandomized controlled trial.

Our objective was to determine the feasibility and preliminary efficacy of a behavioral nudge on adoption of a clinical decision support (CDS) tool. We conducted a pilot cluster nonrandomized controlled trial in 2 Emergency Departments (EDs) at a large academic healthcare system in the New York metropolitan area. We tested 2 versions of a CDS tool for pulmonary embolism (PE) risk assessment developed on a web-based electronic health record-agnostic platform. One version included behavioral nudges incorporated into the user interface. A total of 1527 patient encounters were included in the trial. The CDS tool adoption rate was 31.67%. Adoption was significantly higher for the tool that included behavioral nudges (39.11% vs 20.66%; P < .001). We demonstrated feasibility and preliminary efficacy of a PE risk prediction CDS tool developed using insights from behavioral science. The tool is well-positioned to be tested in a large randomized clinical trial. Clinicaltrials.gov (NCT05203185).

Relationship between Hand Hygiene and MDRO Acquisition after Implementation of an Electronic Hand Hygiene Monitoring System

Background: Hand hygiene (HH) is fundamental to preventing the transmission of pathogens between patients. Unfortunately, adherence to HH is suboptimal and monitoring adherence is challenging. Electronic HH monitoring systems (EHHMS) are emerging potential solutions to increase the number of HH observations and eliminate the potential for observation bias. This aim of this study is to assess the impact of improved HH adherence after the introduction of an EHHMS on the rates of healthcare facility-onset multidrug-resistant organisms and Clostridioides difficile (HO-MDRO). Methods: We performed a retrospective, quasi-experimental study to evaluate the impact of HH on HO-MDROs across 4 acute care facilities (59 hospital units, 14 of which were ICUs) from January 2021 - September 2022 after implementing an EHHMS in a large academic healthcare system. Clinical cultures from all sources were included; routine surveillance cultures were not collected during this period. HO determination was made using National Healthcare Safety Network (NHSN) definitions. The association between monthly unit-level HH adherence (%) and HO-MDRO rate per 1000 patient-days was assessed using mixed-effects Poisson regression using rate ratios (RR), which accounts for unobserved heterogeneity between units while controlling for number of tests ordered per month per hospital unit. HH adherence was stratified in quartiles (Q1: 24-43%, Q2: 43-51%, Q3: 52-61%, Q4: 61-84%). Results: During the study period, there were 23 million HH opportunities and 1875 MDROs in 772,930 patient-days. HH adherence increased from 41% January 2021 to 57% September 2022. ESBL, MSSA, and CDIFF accounted for most MDROs (Figure 1). The mean monthly HH adherence rate was 52% per unit, with a median of 1.66 (IQR: 0-3.5) MDROs/1000 patient-days. Mixed-effects Poisson regression suggested no significant overall relationship between HH adherence and MDRO rate (Figure 2). A close to null association was observed when comparing quartile two to quartile one (RR: 0.97, 95% CI: 0.82, 1.15), quartile three to quartile one (RR: 0.96, 95% CI: 0.79, 1.17), and quartile four to quartile one (RR: 1.05, 95% CI: 0.86, 1.28). Results were similar across hospitals (Figure 3). Conclusions: Although implementing an EHHMS led to an improvement in HH adherence, we were not able to demonstrate a resultant decrease in HO-MDROs. Potential explanations include the relatively rare outcomes of interest, unrecognized confounders, and the complex interaction between HH and HO-MDROs, since poor HH adherence on a unit may lead to increased attention from infection prevention and therefore increased focus on other MDRO prevention measures.

Impact of Point Prevalence Surveillance on Transmission of Candida auris Within an Acute Care Health System

Background: Patients infected or colonized with Candida auris can serve as a transmission source for other patients. Screening patients for Candida auris colonization allows facilities to implement infection prevention and control measures and minimize the risk of transmission. The Centers for Disease Control and Prevention (CDC) recommends healthcare facilities perform three types of screening; admission screening in patients with specific risks, close contact screening of patients who overlap a confirmed positive case for 3 or more days or point prevalence surveillance if there is evidence of ongoing transmission within the facility. The CDC further recommends that patients being screened for Candida auris be maintained in transmission-based precautions while awaiting Results: In 2022-2023 there was ongoing transmission of Candida auris occurring in a community served by a large multi-state healthcare system. Close contact and point prevalence surveillance screening for both acute and non-acute healthcare facilities were implemented by the local health jurisdiction. Methods: A composite swab of the bilateral axilla and groin was used to screen close contacts of patients confirmed to be infected or colonized with Candida auris. Close contact was defined as having been on the same unit as the positive patient for 3 or more days while the patient was not in transmission-based precautions. Point prevalence surveillance was performed on all patients currently housed on units where close contact screen-positive patients resided. Potentially exposed patients who had been discharged were not screened. Patients were placed in contact transmission-based precautions until results were received. In 1657 patients in six acute care facilities were identified for Candida auris screening. 161 patients refused or were unable to be screened. Of the 1496 patients screened, 40 screened positive, demonstrating a 2.67% secondary attack rate. Of the 40 screen-positive patients, 5 were identified through point prevalence and 35 through close contact screening. Conclusion: Performing point prevalence surveillance in acute care facilities is operationally challenging and costly with little benefit in the prevention of Candida auris transmission. More robust collection and reporting of screening data is needed to inform surveillance protocols and prevention strategies specific to different healthcare settings. Limitations of this study include the lack of screening completion in discharged patients identified as close contact or point prevalence surveillance eligible. Additionally, some patients had a history of contact with healthcare facilities outside of this healthcare system, with unknown exposure risks or prevention strategies.

Using a Built-in Clinical Decision Support to Improve Phosphate Repletion Practice: A Quasi-Experimental Study

BackgroundInpatient serum phosphate replacement is common, but there is great variability in replacement practice, which leads to overuse. Electronic medical record (EMR) interventions with clinical decision support (CDS) can be effective tools to guide clinicians towards best clinical practices. Our objective was to utilize CDS tools to reduce overuse of hypophosphatemia corrections at a large safety-net healthcare system. MethodsOur first intervention involved enhancing an existing order set for phosphate repletion by incorporating CDS to guide appropriate repletion orders based on deficit severity and simplifying ordering. The second intervention was a best practice advisory (BPA) that triggered when an intravenous (IV) phosphate repletion was ordered for a patient with mild to moderate phosphate deficiency without an existing nil per os (NPO) order. The primary outcome measure was the number of patients with mild and moderate hypophosphatemia receiving IV replacement without NPO orders per 1000 patient days. ResultsAcross all hospitals, rate of IV replacement in patients with mild to moderate hypophosphatemia (1.0 to 1.9 mg/dL) without NPO orders decreased from 7.22 to 3.40 per 1000 patient days (53.0% reduction, p<0.001), while the oral replacements in this population increased from 6.39 to 8.87 (38.8% increase, p<0.001). For patients with phosphate levels ≥2.0, IV replacements decreased from 10.66 to 5.36 (49.8% reduction, p<0.001) and oral replacements decreased 19.78 to 16.69 (15.6% reduction, p<0.01). ConclusionsOur intervention successfully reduced inpatient IV phosphate replacements by 53% in patients with mild to moderate hypophosphatemia using a two-pronged electronic health record intervention across a large safety net setting.

Patient and Community Perspectives on Antibiotics and Antimicrobial Resistance: Fertile Grounds for Antimicrobial Stewardship

Background: Antimicrobial resistance is a serious public health threat. Overuse of antibiotics leads to the development and spread of antibiotic resistant pathogens. Antibiotics are also responsible for a high percentage of emergency department visits for adverse drug events. Despite this, ambulatory and urgent care providers often cite patient expectations as a reason for inappropriate antibiotic prescribing practices. We investigated patient and community understanding of antibiotics and antimicrobial resistance to inform how they can be engaged as partners in combating antimicrobial resistance in our southwestern Virginia community. Methods: From July to September 2023, we conducted an online survey of patients and community members within the footprint of a large healthcare system in Southwest Virginia. Electronic medical records were used to randomly select and directly email the survey link to a representative sample of ambulatory patients who met criteria. Respondents were also recruited through the health system’s social media channels and through posters with quick response (QR) codes in outpatient offices. The survey used Likert scales and multiple-choice questions to understand experiences with and perceptions about antibiotics and antimicrobial resistance. We conducted a descriptive analysis of survey responses. Results: In total, 2,021 individuals completed the survey. Nearly 16% of respondents agreed with the statement “antibiotics can kill viruses” and almost 12% more were unsure. Thirty percent of respondents either agreed with or were unsure about the statement “antibiotics work on most coughs and colds”. When asked more directly about antimicrobial resistance, almost a quarter (25%) of respondents agreed with or were unsure about the statement “there is no connection between taking antibiotics and the development of resistant bacteria”. Responding to questions about possible negative effects of antibiotics, over 9% disagreed with the statement “antibiotics can kill the 'good' bacteria that normally live on the skin and in the gut” and another 19% were unsure. Similarly, over 20% disagreed with or were unsure about the statement “bacteria that do not respond to antibiotics could infect me or my family”. Reflecting on their own providers, nearly 83% of respondents trusted their doctor’s or nurse’s advice about antibiotic necessity. Conclusions: There are opportunities for patient and community engagement around antibiotic effectiveness for common viral illnesses and about the negative effects of overuse of antibiotics. Our data suggests most patients trust their providers as it relates to antibiotic prescribing and may be receptive to discussions and strategies that promote antimicrobial stewardship.

Emergency department visit frequency and health care costs following implementation of an integrated practice unit for frequent utilizers.

The integrated practice unit (IPU) aims to improve care for patients with complex medical and social needs through care coordination, medication reconciliation, and connection to community resources. This study examined the effects of IPU enrollment on emergency department (ED) utilization and health care costs among frequent ED utilizers with complex needs. We extracted electronic health records (EHR) data from patients in a large health care system who had at least four distinct ED visits within any 6-month period between March 1, 2018, and May 30, 2021. Interrupted time series (ITS) analyses were performed to evaluate the impact of IPU enrollment on monthly ED visits and health care costs. A control group was matched to IPU patients using a propensity score at a 3:1 ratio. We analyzed EHRs of 775 IPU patients with a control group of 2325 patients (mean [±SD] age 43.6 [±17]; 45.8% female; 50.9% White, 42.3% Black). In the single ITS analysis, IPU enrollment was associated with a decrease of 0.24 ED visits (p < 0.001) and a cost reduction of $466.37 (p = 0.040) in the first month, followed by decreases of 0.11 ED visits (p < 0.001) and $417.61 in costs (p < 0.001) each month over the subsequent year. Our main results showed that, compared to the matched control group, IPU patients experienced 0.20 more ED visits (p < 0.001) after their fourth ED visit within 6 months, offset by a reduction of 0.02 visits (p < 0.001) each month over the next year. No significant immediate or sustained increase in costs was observed for IPU-enrolled patients compared to the control group. This quasi-experimental study of frequent ED utilizers demonstrated an initial increase in ED visits following IPU enrollment, followed by a reduction in ED utilization over subsequent 12 months without increasing costs, supporting IPU's effectiveness in managing patients with complex needs and limited access to care.

Ischemic Stroke After Bivalent COVID-19 Vaccination: Self-Controlled Case Series Study.

The potential association between bivalent COVID-19 vaccination and ischemic stroke remains uncertain, despite several studies conducted thus far. This study aimed to evaluate the risk of ischemic stroke following bivalent COVID-19 vaccination during the 2022-2023 season. A self-controlled case series study was conducted among members aged 12 years and older who experienced ischemic stroke between September 1, 2022, and March 31, 2023, in a large health care system. Ischemic strokes were identified using International Classification of Diseases, Tenth Revision codes in emergency departments and inpatient settings. Exposures were Pfizer-BioNTech or Moderna bivalent COVID-19 vaccination. Risk intervals were prespecified as 1-21 days and 1-42 days after bivalent vaccination; all non-risk-interval person-time served as the control interval. The incidence of ischemic stroke was compared in the risk interval and control interval using conditional Poisson regression. We conducted overall and subgroup analyses by age, history of SARS-CoV-2 infection, and coadministration of influenza vaccine. When an elevated risk was detected, we performed a chart review of ischemic strokes and analyzed the risk of chart-confirmed ischemic stroke. With 4933 ischemic stroke events, we found no increased risk within the 21-day risk interval for the 2 vaccines and by subgroups. However, risk of ischemic stroke was elevated within the 42-day risk interval among individuals aged younger than 65 years with coadministration of Pfizer-BioNTech bivalent and influenza vaccines on the same day; the relative incidence (RI) was 2.13 (95% CI 1.01-4.46). Among those who also had a history of SARS-CoV-2 infection, the RI was 3.94 (95% CI 1.10-14.16). After chart review, the RIs were 2.34 (95% CI 0.97-5.65) and 4.27 (95% CI 0.97-18.85), respectively. Among individuals aged younger than 65 years who received Moderna bivalent vaccine and had a history of SARS-CoV-2 infection, the RI was 2.62 (95% CI 1.13-6.03) before chart review and 2.24 (95% CI 0.78-6.47) after chart review. Stratified analyses by sex did not show a significantly increased risk of ischemic stroke after bivalent vaccination. While the point estimate for the risk of chart-confirmed ischemic stroke was elevated in a risk interval of 1-42 days among individuals younger than 65 years with coadministration of Pfizer-BioNTech bivalent and influenza vaccines on the same day and among individuals younger than 65 years who received Moderna bivalent vaccine and had a history of SARS-CoV-2 infection, the risk was not statistically significant. The potential association between bivalent vaccination and ischemic stroke in the 1-42-day analysis warrants further investigation among individuals younger than 65 years with influenza vaccine coadministration and prior SARS-CoV-2 infection. Furthermore, the findings on ischemic stroke risk after bivalent COVID-19 vaccination underscore the need to evaluate monovalent COVID-19 vaccine safety during the 2023-2024 season.

Invasive Fungal Infections of the Head and Neck: A Tertiary Hospital Experience.

From the existing millions of fungal species, only a few cause disease. In this study, we investigated invasive fungal infections in the head and neck (H&N) over a 19-year period (2005 to 2024) at a large academic healthcare system. Among the 413 documented fungal H&N infections, 336 were noninvasive, and 77 were invasive. The highest incidence of invasive infections occurred in the sinonasal cavities, with a 15-fold difference compared to other sites. Most infections affected adults over 40 years old. The most common organisms were Mucorales (51%), hyaline molds (29%), and Candida (11%). Risk factors included malignancy, transplant, diabetes, and illicit drug use. Mortality was high in patients with malignancy and/or transplant. Infections affecting the mandible were usually a complication of osteoradionecrosis and were associated with the coinfection of Candida and Actinomyces. At other sites, infections were rare and were usually the result of penetrating injuries or immunosuppression. Treatment typically involved a combination of antifungals and surgical procedures.

Implementation of a virtual, shared medical appointment program that focuses on food as medicine principles in a population with obesity: the SLIM program.

Multimodal lifestyle interventions, employing food as medicine, stand as the recommended first-line treatment for obesity. The Shared Medical Appointment (SMA) model, where a physician conducts educational sessions with a group of patients sharing a common diagnosis, offers an avenue for delivery of comprehensive obesity care within clinical settings. SMAs, however, are not without implementation challenges. We aim to detail our experience with three implementation models in launching a virtual integrative health SMA for weight management. Eligible patients included individuals 18 years of age or older, having a body mass index (BMI) of 30 kg/m2 or 27 kg/m2 or greater with at least one weight related comorbidity. The Practical, Robust Implementation and Sustainability Model (PRISM), Plan, Do, Study, Act (PDSA), and the Framework for Reporting Adaptations and Modifications-Enhanced (FRAME) models were applied to guide the implementation of the Supervised Lifestyle Integrative Medicine (SLIM) program, a virtually delivered, lifestyle medicine focused SMA program, in a weight management clinic within a major health system. We describe how these models, along with attendance for the initial cohorts, were used for decision-making in the process of optimizing the program. 172 patients completed the SLIM program over two years. Attendance was lowest for sessions held at 8:00 AM and 4:00 PM compared to sessions at 10:00 AM, 1:00 PM, and 3:00 PM, leading to only offering midday sessions (p = 0.032). Attendance data along with feedback from patients, facilitators, and administrative partners led to changes in the curriculum, session number and frequency, session reminder format, and intake visit number. The use of implementation and quality improvement models provided crucial insight for deployment and optimization of a virtual, lifestyle medicine focused SMA program for weight management within a large healthcare system.

Effectiveness of Gabapentin as a Benzodiazepine-Sparing Agent in Alcohol Withdrawal Syndrome.

Background and Objectives: Gabapentin has shown promise as a potential agent for the treatment of alcohol withdrawal syndrome. We aimed to evaluate the effectiveness of gabapentin as a benzodiazepine-sparing agent in patients undergoing alcohol withdrawal treatment in all the hospitals of a large tertiary healthcare system. Materials and Methods: Medical records of patients admitted to the hospital for alcohol withdrawal management between 1 January 2020 and 31 August 2022 were reviewed. Patients were divided into two cohorts: benzodiazepine-only treatment who received benzodiazepines as the primary pharmacotherapy and gabapentin adjunctive treatment who received gabapentin in addition to benzodiazepines. The outcomes assessed included the total benzodiazepine dosage administered during the treatment and the length of hospital stay. The statistical models were calibrated to account for various factors. Results: A total of 4364 patients were included in the final analysis. Among these, 79 patients (1.8%) received gabapentin in addition to benzodiazepines, and 4285 patients (98.2%) received benzodiazepines only. Patients administered gabapentin required significantly lower average cumulative benzodiazepine dosages, approximately 17.9% less, compared to those not receiving gabapentin (median 2 mg vs. 4 mg of lorazepam equivalent dose (p < 0.01)). However, there were no significant differences in outcomes between the two groups. Conclusions: Our findings demonstrate that using gabapentin with benzodiazepine was associated with a reduction in the cumulative benzodiazepine dosage for alcohol withdrawal. Considering gabapentin as an adjunctive therapy holds promise for patients with comorbidities who could benefit from reducing benzodiazepine dose. This strategy warrants further investigation.

Clinically recognized sleep disorders in people living with HIV.

Despite recognition that people with HIV (PWH) are more vulnerable to sleep issues, there is limited understanding of clinically recognized sleep disorders in this population. Our objective was to evaluate the full spectrum of sleep disorder types diagnosed among PWH in care. We conducted a retrospective cohort study of PWH, and a comparator group of people without HIV (PWoH), in a large healthcare system. The incidence of clinically diagnosed sleep disorders was calculated using Poisson regression for three outcomes: any type of sleep disorder, insomnia, and sleep apnea. Incidence was compared between PWH and PWoH by computing the adjusted incidence rate ratio (aIRR), accounting for sleep disorder risk factors. Comparisons to PWoH were made for all PWH combined, then with PWH stratified by HIV management status (well-managed HIV defined as being on antiretroviral therapy, HIV RNA <200 copies/mL, and CD4 count ≥500 cells/μL). The study included 9076 PWH and 205 178 PWoH (mean age 46 years, 90% men). Compared with PWoH, sleep disorder incidence was greater among PWH overall [aIRR = 1.19, 95% confidence interval (CI): 1.12-1.26], particularly for insomnia (aIRR = 1.56, 95% CI: 1.45-1.67). Sleep apnea incidence was lower among PWH (aIRR = 0.90, 95% CI: 0.84-0.97). In HIV management subgroups, PWH without well-managed HIV had lower sleep apnea incidence (vs. PWoH: aIRR = 0.79, 95% CI: 0.70-0.89) but PWH with well-managed HIV did not (vs. PWoH: aIRR = 0.97, 95% CI: 0.89-1.06). PWH have high sleep disorder incidence, and insomnia is the most common clinical diagnosis. Lower sleep apnea incidence among PWH may reflect underdiagnosis in those with sub-optimally treated HIV and will be important to investigate further.

1250-P: Racial and Ethnic Disparities Associated with Diabetes and Pregnancy in a Large Health Care System

1250-P: Racial and Ethnic Disparities Associated with Diabetes and Pregnancy in a Large Health Care System

MACCABI-RED, community emergency care at the press of a button: a descriptive study.

Maccabi-RED is a new service developed in Israel that allows primary care staff to direct urgent cases to specialists in the community for evaluation in their local clinics on the same day as an alternative to an emergency department (ED) visit. A primary care physician or a nurse can activate the service, and all nearby specialists receive "a call" and can decide if they are willing to accept it, thus allowing the patient to avoid an unnecessary visit to the ED. To quantify and characterize the medical care provided by this service in a large national healthcare system. Multicenter, community-based, retrospective cohort study. All Maccabi-RED visits recorded between September 2021 and August 2022 were included. Patient characteristics were compared to national demographics. Descriptive statistics were used to present data regarding recorded diagnoses, treating physicians, treatments or referrals provided, and subsequent emergency department admissions or hospitalizations. 31831 visits were recorded. Most frequent diagnoses were musculoskeletal pain (12.1%), otitis or otalgia (7.8%), contusions (7.6%), fractures (7.1%), foreign body (6.7%), pregnancy-related symptoms (6.3%), and upper-respiratory or unspecified viral infection (6.3%). The most common treatments reported were foreign body removal (5%) and cast application (3.5%). Only 7.8% of visits resulted in emergency department admission within seven days (any cause). The average time from patient request to physician treatment was 91 min. Maccabi-RED is being widely used by patients nationwide. Additional studies are needed to investigate whether Maccabi-RED reduces emergency department visits and costs.

Variability in Practice of Buprenorphine Treatment by Emergency Department Operational Characteristics.

We sought to describe emergency department (ED) buprenorphine treatment variability among EDs with varying operational characteristics. We performed a retrospective cohort study of adult patients with opioid use disorder discharged from 12 hospital-based EDs within a large healthcare system as a secondary data analysis of a quality improvement study. Primary outcome of interest was buprenorphine treatment rate. We described treatment rates between EDs, categorized by tertile of operational characteristics including annual census, hospital and intensive care unit (ICU) admission rates, ED length of stay (LOS), and boarding time. Secondary outcomes were ED LOS and 30-day return rates. There were 7,469 unique ED encounters for patients with opioid use disorder between January 2020-May 2021, of whom 759 (10.2%) were treated with buprenorphine. Buprenorphine treatment rates were higher in larger EDs and those with higher hospital and ICU admission rates. Emergency department LOS and 30-day ED return rate did not have consistent associations with buprenorphine treatment. Rates of treatment with ED buprenorphine vary according to the operational characteristics of department. We did not observe a consistent negative relationship between buprenorphine treatment and operational metrics, as many feared. Additional funding and targeted resource allocation should be prioritized by departmental leaders to improve access to this evidence-based and life-saving intervention.

Increasing pre-exposure prophylaxis (PrEP) in primary care: A study protocol for a multi-level intervention using the multiphase optimization strategy (MOST) framework

BackgroundIn the United States, over 1.2 million people are living with HIV. This disease disproportionately affects men who have sex with men (MSM), people of color, youth and young adults, and transgender individuals. Pre-exposure prophylaxis (PrEP) is an effective HIV prevention method. Barriers exist for both primary care providers (PCPs) to prescribe PrEP and prevent patients from initiating PrEP. MethodsThis study, MOST: PrEP, follows the multiphase optimization strategy (MOST) framework. The purpose is to identify a multi-level intervention among patients and PCPs to increase PrEP prescriptions in primary care. First, feedback will be obtained from providers and patients via focus groups, then, suggestions related to the context-specific (provider and individual level) factors of intervention component delivery will be incorporated. Subsequently, a rigorous experiment will be conducted using a 24 factorial design focusing on priority populations for PrEP initiation. Provider components include computer-based simulation training and a best practice alert. Patient components include a tailored PrEP educational video and HIV risk assessment. Finally, the facilitators and barriers to implementing the intervention components will be qualitatively examined. ConclusionIn this protocol paper, we describe the one of the first known multilevel MOST optimization trial in healthcare. Intervention components are to be delivered to patients and providers in a large healthcare system, based in an HIV Ending the Epidemic priority jurisdiction. If effective, this multi-level approach could be disseminated to providers and patients in other large healthcare systems to make a significant impact on HIV prevention.

Assessing calibration and bias of a deployed machine learning malnutrition prediction model within a large healthcare system

Malnutrition is a frequently underdiagnosed condition leading to increased morbidity, mortality, and healthcare costs. The Mount Sinai Health System (MSHS) deployed a machine learning model (MUST-Plus) to detect malnutrition upon hospital admission. However, in diverse patient groups, a poorly calibrated model may lead to misdiagnosis, exacerbating health care disparities. We explored the model’s calibration across different variables and methods to improve calibration. Data from adult patients admitted to five MSHS hospitals from January 1, 2021 - December 31, 2022, were analyzed. We compared MUST-Plus prediction to the registered dietitian’s formal assessment. Hierarchical calibration was assessed and compared between the recalibration sample (N = 49,562) of patients admitted between January 1, 2021 - December 31, 2022, and the hold-out sample (N = 17,278) of patients admitted between January 1, 2023 - September 30, 2023. Statistical differences in calibration metrics were tested using bootstrapping with replacement. Before recalibration, the overall model calibration intercept was −1.17 (95% CI: −1.20, −1.14), slope was 1.37 (95% CI: 1.34, 1.40), and Brier score was 0.26 (95% CI: 0.25, 0.26). Both weak and moderate measures of calibration were significantly different between White and Black patients and between male and female patients. Logistic recalibration significantly improved calibration of the model across race and gender in the hold-out sample. The original MUST-Plus model showed significant differences in calibration between White vs. Black patients. It also overestimated malnutrition in females compared to males. Logistic recalibration effectively reduced miscalibration across all patient subgroups. Continual monitoring and timely recalibration can improve model accuracy.

Patterns and correlates of mental healthcare utilization during the COVID-19 pandemic among individuals with pre-existing mental disorder.

How did mental healthcare utilization change during the COVID-19 pandemic period among individuals with pre-existing mental disorder? Understanding utilization patterns of these at-risk individuals and identifying those most likely to exhibit increased utilization could improve patient stratification and efficient delivery of mental health services. This study leveraged large-scale electronic health record (EHR) data to describe mental healthcare utilization patterns among individuals with pre-existing mental disorder before and during the COVID-19 pandemic and identify correlates of high mental healthcare utilization. Using EHR data from a large healthcare system in Massachusetts, we identified three "pre-existing mental disorder" groups (PMD) based on having a documented mental disorder diagnosis within the 6 months prior to the March 2020 lockdown, related to: (1) stress-related disorders (e.g., depression, anxiety) (N = 115,849), (2) serious mental illness (e.g., schizophrenia, bipolar disorders) (N = 11,530), or (3) compulsive behavior disorders (e.g., eating disorder, OCD) (N = 5,893). We also identified a "historical comparison" group (HC) for each PMD (N = 113,604, 11,758, and 5,387, respectively) from the previous year (2019). We assessed the monthly number of mental healthcare visits from March 13 to December 31 for PMDs in 2020 and HCs in 2019. Phenome-wide association analyses (PheWAS) were used to identify clinical correlates of high mental healthcare utilization. We found the overall number of mental healthcare visits per patient during the pandemic period in 2020 was 10-12% higher than in 2019. The majority of increased visits was driven by a subset of high mental healthcare utilizers (top decile). PheWAS results indicated that correlates of high utilization (prior mental disorders, chronic pain, insomnia, viral hepatitis C, etc.) were largely similar before and during the pandemic, though several conditions (e.g., back pain) were associated with high utilization only during the pandemic. Limitations included that we were not able to examine other risk factors previously shown to influence mental health during the pandemic (e.g., social support, discrimination) due to lack of social determinants of health information in EHR data. Mental healthcare utilization among patients with pre-existing mental disorder increased overall during the pandemic, likely due to expanded access to telemedicine. Given that clinical correlates of high mental healthcare utilization in a major hospital system were largely similar before and during the COVID-19 pandemic, resource stratification based on known risk factor profiles may aid hospitals in responding to heightened mental healthcare needs during a pandemic.

Routine Emergency Department Screening to Decrease Subsequent Physical Abuse

Emergency department (ED) screening for child physical abuse has been widely implemented, with uncertain effects on child abuse identification. Our goal was to determine the effect of screening on referrals to child protective services (CPS) identifying abuse. We performed a retrospective cohort study of children younger than 6 years old with an ED encounter at 1 of 2 large health care systems, one of which implemented routine child abuse screening. The main outcome was initial (<2 days) or subsequent (3 to 180 days) referral to CPS identifying child abuse using linked records. We compared outcomes for the 2-year period after screening was implemented to the preperiod and nonscreening EDs using generalized estimating equations to adjust for sex, age, race/ethnicity, payor and prior ED encounters and clustered by center. Of the 331,120 ED encounters, 41,589 (12.6%) occurred at screening EDs during the screening period. Screening was completed in 34,272 (82%) and was positive in 188 (0.45%). Overall, 7,623 encounters (2.3%) had a subsequent referral, of which 589 (0.2%) identified moderate or severe abuse. ED screening did not change initial (adjusted odds ratio [aOR]=1.01, 95% confidence interval [CI] 0.89 to 1.15) or subsequent referral to CPS when compared to the prescreening period (aOR=1.05, 95% CI 0.9 to 1.18) or to the nonscreening EDs (aOR=1.06, 95% CI 0.92 to 1.21). Routine screening did not affect initial or subsequent referrals to CPS.

QAPI 131 - Impact of Device Standardization to Prevent Hemodialysis Catheter Central Line-Associated Bloodstream Infections (HD-CLABSI) in a Large Healthcare System

QAPI 131 - Impact of Device Standardization to Prevent Hemodialysis Catheter Central Line-Associated Bloodstream Infections (HD-CLABSI) in a Large Healthcare System

Applying ordered network analysis to video-recorded physician–nurse interactions to examine communication patterns associated with shared understanding in inpatient oncology care settings

ObjectivesThe main aim of this study was to demonstrate how ordered network analysis of video-recorded interactions combined with verbal response mode (VRM) coding (eg, edification, disclosure, reflection and interpretation) can...