Effect of Automated Real-Time Feedback on Early-Sepsis Care: A Pragmatic Clinical Trial.

OBJECTIVES: To determine if a real-time monitoring system with automated clinician alerts improves 3-hour sepsis bundle adherence. DESIGN: Prospective, pragmatic clinical trial. Allocation alternated every 7 days. SETTING: Quaternary hospital from December 1, 2020 to November 30, 2021. PATIENTS: Adult emergency department or inpatients meeting objective sepsis criteria triggered an electronic medical record (EMR)-embedded best practice advisory. Enrollment occurred when clinicians acknowledged the advisory indicating they felt sepsis was likely. INTERVENTION: Real-time automated EMR monitoring identified suspected sepsis patients with incomplete bundle measures within 1-hour of completion deadlines and generated reminder pages. Clinicians responsible for intervention group patients received reminder pages; no pages were sent for controls. The primary analysis cohort was the subset of enrolled patients at risk of bundle nonadherent care that had reminder pages generated. MEASUREMENTS AND MAIN RESULTS: The primary outcome was orders for all 3-hour bundle elements within guideline time limits. Secondary outcomes included guideline-adherent delivery of all 3-hour bundle elements, 28-day mortality, antibiotic discontinuation within 48-hours, and pathogen recovery from any culture within 7 days of time-zero. Among 3,269 enrolled patients, 1,377 had reminder pages generated and were included in the primary analysis. There were 670 (48.7%) at-risk patients randomized to paging alerts and 707 (51.3%) to control. Bundle-adherent orders were placed for 198 intervention patients (29.6%) versus 149 (21.1%) controls (difference: 8.5%; 95% CI, 3.9-13.1%; p = 0.0003). Bundle-adherent care was delivered for 152 (22.7%) intervention versus 121 (17.1%) control patients (difference: 5.6%; 95% CI, 1.4-9.8%; p = 0.0095). Mortality was similar between groups (8.4% vs 8.3%), as were early antibiotic discontinuation (35.1% vs 33.4%) and pan-culture negativity (69.0% vs 68.2%). CONCLUSIONS: Real-time monitoring and paging alerts significantly increased orders for and delivery of guideline-adherent care for suspected sepsis patients at risk of 3-hour bundle nonadherence. The trial was underpowered to determine whether adherence affected mortality. Despite enrolling patients with clinically suspected sepsis, early antibiotic discontinuation and pan-culture negativity were common, highlighting challenges in identifying appropriate patients for sepsis bundle application.

Persistent underuse of extended venous thromboembolism prophylaxis in patients undergoing major abdominal cancer operations.

BACKGROUND: Guidelines recommend extended venous thromboembolism (VTE) prophylaxis for high-risk populations undergoing major abdominal cancer operations. Few studies have evaluated extended VTE prophylaxis in the Medicare population who are at higher risk due to age. METHODS: We performed a retrospective study using a 20% random sample of Medicare claims, 2012-2017. Patients ≥65 years with an abdominal cancer undergoing resection were included. Primary outcome was the proportion of patients receiving new extended VTE prophylaxis prescriptions at discharge. Secondary outcomes included postdischarge VTE and hemorrhagic events. RESULTS: The study included 72 983 patients with a mean age of 75. Overall, 8.9% of patients received extended VTE prophylaxis. This proportion increased (7.2% in 2012, 10.6% in 2017; p < 0.001). Incidence of postdischarge hemorrhagic events was 1.0% in patients receiving extended VTE prophylaxis and 0.8% in those who did not. The incidence of postdischarge VTE events was 5.2% in patients receiving extended VTE prophylaxis and 2.4% in those who did not. CONCLUSION: Adherence to guideline-recommended extended VTE prophylaxis in high-risk patients undergoing major abdominal cancer operations is low. The higher rate of VTE in the prophylaxis group may suggest we captured some therapeutic anticoagulation, which would mean the actual rate of thromboprophylaxis is lower than reported herein.

An Electronic Medical Record Intervention to Increase Pharmacologic Prophylaxis for Venous Thromboembolism in Emergency Department Observation Patients.

STUDY OBJECTIVE: The role of venous thromboembolism (VTE) prophylaxis among patients receiving emergency department (ED) observation unit care is unclear. We investigated an electronic health record-based clinical decision support tool aimed at increasing pharmacologic VTE prophylaxis use among at-risk patients placed in ED observation units. METHODS: We conducted an interrupted time-series study of an Epic-based best practice advisory implemented in May 2019 at a health care system comprising 2 academic medical centers and 4 community hospitals with dedicated ED observation units. The best practice advisory alerted staff at 24 hours to conduct a risk assessment and linked to a VTE prophylaxis order set. We used an interrupted time series, Bayesian structured time series, and a multivariable mixed-effect regression model to estimate the intervention effect. RESULTS: Prior to the best practice advisory implementation, there were 8,895 ED observation unit patients with a length of stay more than or equal to 24 hours, and 0.9% received pharmacologic VTE prophylaxis. Afterward, there were 12,664 ED observation unit patients with a length of stay more than or equal to 24 hours, and 4.8% received pharmacologic VTE prophylaxis. The interrupted time series and causal impact analysis showed a statistically significant increase in VTE prophylaxis (eg, absolute percent difference 3.8%, 95% confidence interval 3.5 to 4.1). In a multivariable model, only the intervention was significantly associated with receiving VTE prophylaxis (odds ratio 4.56, 95% confidence interval 2.22 to 9.37). CONCLUSION: An electronic health record-based alert helped to prompt staff caring for ED observation unit patients at risk for VTE with prolonged visits to order recommended pharmacologic prophylaxis. The best risk assessment model to use and the true incidence of VTE events in this population are unclear.

A Comparison of Area-Level Socioeconomic Status Indices in Colorectal Cancer Care.

INTRODUCTION: There are multiple measures of area socioeconomic status (SES) and there is little evidence on the comparative performance of these measures. We hypothesized adding area SES measures improves model ability to predict guideline concordant care and overall survival compared to models with standard clinical and demographic data alone. MATERIALS AND METHODS: We included patients with colorectal cancer from 2006 to 2015 from the North Carolina Cancer Registry merged with insurance claims data. The primary area SES study variables were the Social Deprivation Index, Distressed Communities Index, Area Deprivation Index, and Social Vulnerability Index. We used multivariable logistic modeling and Cox proportional hazards modeling to assess the adjusted association of each indicator, with guideline concordant care and overall survival, respectively. Model performance of the SES measures was compared to a base model using likelihood ratio testing and area under the curve (AUC) assessments to compare SES indicator models with each other. RESULTS: We found that the Area Deprivation Index, Social Vulnerability Index and Social Deprivation Index, but not Distressed Communities Index, were significantly associated with receiving guideline concordant care and significantly improved model fit over the base model on likelihood ratio testing. All models had similar AUCs. With respect to overall survival, we found that all indices were independently and significantly associated with survival and had significantly improved model fit over the base model on likelihood ratio testing. AUC analysis again showed all area SES measures had comparable performance for overall survival at 5 y. CONCLUSIONS: This analysis demonstrates the importance of including these measures in risk adjustment models. However, of the commonly available measures, no one measure stood out as superior to others.

Do Gold Humanism Honor Society Inductees Differ From Their Peers in Empathy, Patient-Centeredness, Tolerance of Ambiguity, Coping Style, and Perception of the Learning Environment?

Construct: Induction into the Gold Humanism Honor Society (GHHS) during medical school is recognized as an indicator of humanistic orientation and behavior. Various attitudes and interpersonal orientations including empathy and patient-centeredness have been posited to translate into behaviors constituting humanistic care. BACKGROUND: To our knowledge there has never been a longitudinal, multi-institutional empirical study of the attitudinal and interpersonal orientations correlated with GHHS membership status. APPROACH: We used the American Medical Association Learning Environment Study (LES) data set to explore attitudinal correlates associated with students whose behaviors are recognized by their peers as being exceptionally humanistic. Specifically, we examined whether empathy, patient-centeredness, tolerance of ambiguity, coping style, and perceptions of the learning environment are associated with GHHS membership status. We further considered to what extent GHHS members arrive in medical school with these attitudinal correlates and to what extent they change and evolve differentially among GHHS members compared to their non-GHHS peers. Between 2011 and 2015, 585 students from 13 North American medical schools with GHHS chapters participated in the LES, a longitudinal cohort study using a battery of validated psychometric measures including the Jefferson Scale of Empathy, Patient-Practitioner Orientation Scale and Tolerance of Ambiguity Questionnaire. In the final survey administration, students self-identified as GHHS inductees or not (non-GHHS). T tests, effect sizes, and longitudinal generalized mixed-effects models examined the differences between GHHS and non-GHHS students. RESULTS: Students inducted into GHHS scored significantly higher on average over 4 years than non-GHHS inductees on clinical empathy, patient-centered beliefs, and tolerance of ambiguity. GHHS students reported higher levels of empathy and patient-centeredness at medical school matriculation. This difference persists in the 4th year of medical school and when controlling for time, race, gender, and school. CONCLUSIONS: GHHS inductees enter medical school with different attitudes and beliefs than their non-GHHS classmates. Although humanistic attitudes and beliefs vary over time during students' 4 years, the gap between the two groups remains constant. Medical schools may want to consider selecting for specific humanistic traits during admissions as well as fostering the development of humanism through curricular interventions.

Medical Student Perceptions of the Learning Environment in Medical School Change as Students Transition to Clinical Training in Undergraduate Medical School.

Phenomenon: The learning environment is the physical, social, and psychological context in which a student learns. A supportive learning environment contributes to student well-being and enhances student empathy, professionalism, and academic success, whereas an unsupportive learning environment may lead to burnout, exhaustion, and cynicism. Student perceptions of the medical school learning environment may change over time and be associated with students' year of training and may differ significantly depending on the student's gender or race/ethnicity. Understanding the changes in perceptions of the learning environment related to student characteristics and year of training could inform interventions that facilitate positive experiences in undergraduate medical education. APPROACH: The Medical School Learning Environment Survey (MSLES) was administered to 4,262 students who matriculated at one of 23 U.S. and Canadian medical schools in 2010 and 2011. Students completed the survey at the end of each year of medical school as part of a battery of surveys in the Learning Environment Study. A mixed-effects longitudinal model, t tests, Cohen's d effect size, and analysis of variance assessed the relationship between MSLES score, year of training, and demographic variables. FINDINGS: After controlling for gender, race/ethnicity, and school, students reported worsening perceptions toward the medical school learning environment, with the worst perceptions in the 3rd year of medical school as students begin their clinical experiences, and some recovery in the 4th year after Match Day. The drop in MSLES scores associated with the transition to the clinical learning environment (-0.26 point drop in addition to yearly change, effect size = 0.52, p < .0001) is more than 3 times greater than the drop between the 1st and 2nd year (0.07 points, effect size = 0.14, p < .0001). The largest declines were from items related to work-life balance and informal student relationships. There was some, but not complete, recovery in perceptions of the medical school learning environment in the 4th year. Insights: Perceptions of the medical school learning environment worsen as students continue through medical school, with a stronger decline in perception scores as students' transition to the clinical learning environment. Students reported the greatest drop in finding time for outside activities and students helping one another in the 3rd year. Perceptions differed based on gender and race/ethnicity. Future studies should investigate the specific features of medical schools that contribute most significantly to student perceptions of the medical school learning environment, both positive and negative, to pinpoint potential interventions and improvements.

Development of a metacognitive effort construct of empathy during clinical training: a longitudinal study of the factor structure of the Jefferson Scale of Empathy.

Empathy is crucial for effective clinical care but appears to decline during undergraduate medical training. Understanding the nature of this decline is necessary for addressing it. The Jefferson Scale of Empathy (JSE) is used to measure medical students' clinical empathy attitudes. One recent study described a 3-factor model of the JSE. This model was found in responses from matriculating medical students, but little is known about how the factor structure of the scale changes during clinical training. The Learning Environment Study is a longitudinal prospective study of two cohorts from 28 medical schools. At matriculation and at the end of each subsequent year, students self-reported clinical empathy attitudes using the JSE. Data from 4,797 students were randomly partitioned for exploratory (EFA) and confirmatory factor analyses using responses from preclinical and clinical years of medical school. Five models were compared for confirmatory factor analysis: two null models for control, the recent 3-factor model, and the two models resulting from the EFAs of preclinical and clinical year responses. Preclinical year responses yielded a 3-factor model similar to the recent 3-factor model. Clinical year responses yielded a 4-factor model ("feelings," "importance," "ease," and "metacognitive effort") suggesting changes in the structure of clinical empathy attitudes over time. Metacognitive effort showed the largest decline over time. The model is a better fit for both preclinical and clinical responses and may provide more insight into medical students' clinical empathy attitudes than other models. The emergence of metacognitive effort in the clinical years suggests empathy may become more nuanced for students after clinical exposure and may account for much of the observed decline in clinical empathy attitudes.

Predicting Acute Care Events Among Patients Initiating Chemotherapy: A Practice-Based Validation and Adaptation of the PROACCT Model.

PURPOSE: Acute care events (ACEs), comprising emergency department visits and hospitalizations, are a priority area for reduction in oncology. Prognostic models are a compelling strategy to identify high-risk patients and target preventive services, but have yet to be broadly implemented, partly because of challenges with electronic health record (EHR) integration. To facilitate EHR integration, we adapted and validated the previously published PRediction Of Acute Care use during Cancer Treatment (PROACCT) model to identify patients at highest risk for ACEs after systemic anticancer treatment. METHODS: A retrospective cohort of adults with a cancer diagnosis starting systemic therapy at a single center between July and November 2021 was divided into development (70%) and validation (30%) sets. Clinical and demographic variables were extracted, limited to those in structured format in the EHR, including cancer diagnosis, age, drug category, and ACE in prior year. Three logistic regression models of increasing complexity were developed to predict risk of ACEs. RESULTS: Five thousand one hundred fifty-three patients were evaluated (3,603 development and 1,550 validation). Several factors were predictive of ACEs: age (in decades), receipt of cytotoxic chemotherapy or immunotherapy, thoracic, GI or hematologic malignancy, and ACE in the prior year. We defined high-risk as the top 10% of risk scores; this population had 33.6% ACE rate compared with 8.3% for the remaining 90% in the low-risk group. The simplest Adapted PROACCT model had a C-statistic of 0.79, sensitivity of 0.28, and specificity of 0.93. CONCLUSION: We present three models designed for EHR integration that effectively identify oncology patients at highest risk for ACE after initiation of systemic anticancer treatment. By limiting predictors to structured data fields and including all cancer types, these models offer broad applicability for cancer care organizations and may offer a safety net to identify and target resources to this high risk.

Lung Cancer Surgical Regionalization Disproportionately Worsens Travel Distance for Rural Patients.

PURPOSE: Major cancer surgeries have regionalized to fewer and higher-volume hospitals, with the goal of improving the quality of surgical care. However, regionalization may have negative effects on geographic access to care. We hypothesize that lung cancer patients have been traveling further for surgery over time as regionalization has occurred, and this increased travel has primarily impacted rural patients. METHODS: A North Carolina all-payer state discharge database was used to capture discharges from 2005 to 2015 for patients undergoing lung cancer resection. Changes in patterns of care over time in high-volume centers (HVC) were examined. Adjusted patient straight-line travel distance was estimated over time and stratified by rural-urban location. FINDINGS: The number of hospitals performing lung cancer resections decreased from 49 to 31 over the study period (P = .0006), and the proportion of patients receiving care at HVC increased from 23% to 44% (P < .0001). Rural patient travel distance increased over time by 8.5 miles (95% CI: 0.56-17.10, P = .048), from 45.1 to 53.6 miles. There was no change in urban patient travel distance. The difference in adjusted travel distance between rural and urban patients nearly doubled from 2005 to 2015 (9.6 to 17.9 miles,P < .0001). CONCLUSION: In North Carolina, lung cancer surgical regionalization occurred over the study period and was accompanied by increases in travel distance for rural patients only. Further work is needed to determine the effects of greater travel distance on patterns of cancer care for rural patients.

Use of Completion Lymph Node Dissection for Sentinel Lymph Node-Positive Melanoma.

BACKGROUND: For patients with sentinel node-positive melanoma (SNPM), randomized trials, first reported in 2015, found no benefit for routine completion lymph node dissection (CLND) in selected patients. This study examines time trends in CLND and explores institutional and clinical factors associated with CLND. STUDY DESIGN: The National Cancer Database was queried for patients older than 18 years from 2012 to 2016 with SNPM. A high-volume center was defined as >80th percentile for number of sentinel node procedures. Poisson regression assessed temporal trends and identified patient, pathologic, and institutional characteristics associated with CLND. RESULTS: From 2012 to 2016, we identified 7,146 patients with SNPM. The proportion of patients undergoing CLND was steady in 2012 to 2014 (61% to 63%), but decreased to 57% in 2015 and 50% in 2016 (p < 0.0001). The proportion of patients with SNPM who underwent CLND decreased over time for both high- (66% to 52%; p < 0.0001) and lower-volume centers (55% to 45%; p = 0.06). Female sex (relative risk [RR] 0.97; p < 0.001) and increasing age (RR 0.98; p < 0.0001) were associated with lower likelihood of CLND. Increased Breslow depth (RR 1.015; p = 0.006), ulceration (RR 1.067; p = 0.02), and high-volume centers (RR 1.180; p < 0.0001) were associated with higher likelihood of CLND. Regional differences in likelihood of CLND were also present (p < 0.0001). CONCLUSIONS: Completion lymph node dissection in SNPM decreased over time, with the greatest change in 2016. Several patient, pathologic, and institutional characteristics were associated with likelihood of CLND. As evidence supports close observation for selected patients, efforts should be undertaken to improve and standardize patient selection for CLND across institutions caring for patients with melanoma.

Financial burden amongst cancer patients treated with curative intent surgery alone.

BACKGROUND: The costs of cancer care in the US continue to increase and may have serious consequences for patients. We hypothesize that even cancer patients treated with curative-intent surgery alone experience substantial financial burden. METHODS: A questionnaire was administered to adult cancer patients who were treated with curative-intent surgery. Survey items included a validated instrument for measuring financial toxicity, the COST score. Demographic variables and survey responses were examined using Chi-square and Fisher exact tests. A multivariate general linear model was performed to examine the relationship between age and COST score. RESULTS: COST scores varied widely. 30% of respondents had a COST score of ≤24 (high burden). Younger participants reported more financial burden (p = 0.008). Respondents reported that financial factors influenced their decisions regarding surgery (14%) and caused them to skip recommended care (4.7%). Cancer care influenced overall financial health (38%) and contributed to medical debt (26%). CONCLUSION: Curative-intent cancer care places a substantial portion of patients at risk for financial toxicity even when they don't require chemotherapy. Interventions should not be limited to patients receiving chemotherapy.

Geriatric Assessment Predicts Hospitalization Frequency and Long-Term Care Use in Older Adult Cancer Survivors.

PURPOSE: The association between geriatric assessment (GA)-identified impairments and long-term health care use in older cancer survivors remains unknown. Our objective was to evaluate whether a GA performed at cancer diagnosis was predictive of hospitalizations and long-term care (LTC) use in older adult cancer survivors. METHODS: Older adults with GA performed between 3 months before through 6 months after diagnosis were included (N = 125). Patients with Medicare Parts A and B coverage and no managed care were identified. Hospitalizations and LTC use (skilled nursing or assisted living) were assessed up to 5 years postdiagnosis. GA risk measures were evaluated in separate Poisson models estimating the relative risk (RR) for hospital and LTC visits, adjusting for age and Charlson comorbidity score. RESULTS: The mean age of patients was 74 years, and the majority were female (80%) and white (90%). Breast cancer (64%) and early-stage disease (stages 0 to III, 77%) were common. Prefrail/frail status (RR, 2.5; P < .001), instrumental activities of daily living impairment (RR, 5.47; P < .001), and limitations in climbing stairs (RR, 2.94; P < .001) were associated with increased hospitalizations. Prefrail/frail status (RR, 1.86; P < .007), instrumental activities of daily living impairment (RR, 4.58; P < .001), presence of falls (RR, 6.73; P < .001), prolonged Timed Up and Go (RR, 5.45; P < .001), and limitations in climbing stairs (RR, 1.89; P < .005) were associated with LTC use. CONCLUSION: GA-identified impairments were associated with increased hospitalizations and LTC use among older adults with cancer. GA-focused interventions should be targeted toward high-risk patients to reduce long-term adverse health care use in this vulnerable population.

Medical Student Perceptions of the Learning Environment at the End of the First Year: A 28-Medical School Collaborative.

PURPOSE: Accreditation and professional organizations have recognized the importance of measuring medical students' perceptions of the learning environment, which influences well-being and professional competency development, to optimize professional development. This study was conducted to explore interactions between students' perceptions of the medical school learning environment, student demographic variables, and students' professional attributes of empathy, coping, tolerance of ambiguity, and patient-centeredness to provide ideas for improving the learning environment. METHOD: Twenty-eight medical schools at 38 campuses recruited 4,664 entering medical students to participate in the two-cohort longitudinal study (2010-2014 or 2011-2015). The authors employed chi-square tests and analysis of variance to examine the relationship between Medical School Learning Environment Survey (MSLES) scores and student characteristics. The authors used mixed-effects models with random school and campus effects to test the overall variances accounted for in MSLES scores at the end of the first year of medical school. RESULTS: Student attributes and demographic characteristics differed significantly across schools but accounted for only 2.2% of the total variance in MSLES scores. Medical school campus explained 15.6% of the variance in MSLES scores. CONCLUSIONS: At year's end, students' perceptions toward the learning environment, as reported on the MSLES, differed significantly according to the medical school campus where they trained. Further studies are needed to identify specific factors, such as grading policies, administrative support, and existence of learning communities, which may influence perceptions of the learning environment at various schools. Identifying such variables would assist schools in developing a positive learning environment.

Medical Student Perceptions of the Learning Environment: Learning Communities Are Associated With a More Positive Learning Environment in a Multi-Institutional Medical School Study.

PURPOSE: Many medical schools have implemented learning communities (LCs) to improve the learning environment (LE) for students. The authors conducted this study to determine whether a relationship exists between medical student perceptions of the LE and presence of LCs during the preclerkship years. METHOD: Students from 24 schools participating in the American Medical Association Learning Environment Study completed the 17-item Medical Student Learning Environment Survey (MSLES) at the end of their first and second years of medical school between 2011 and 2013. Mean total MSLES scores and individual item scores at the end of the first and second years in schools with and without LCs were compared with t tests, and effect sizes were calculated. Mixed-effects longitudinal models were used to control for student demographics and random school and student effects on the relationship between LC status and MSLES score. RESULTS: A total of 4,980 students (81% of 6,148 matriculants) from 18 schools with LCs and 6 without LCs participated. Mean [SD] MSLES scores were significantly higher in LC schools compared with non-LC schools at the end of year one (3.72 [0.44] versus 3.57 [0.43], P < .001) and year two (3.69 [0.49] versus 3.42 [0.54], P < .001). The effect size increased from 0.35 (small) at the end of year one to 0.53 (medium) at the end of year two. CONCLUSIONS: This large multi-institutional cohort study found that LCs at medical schools were associated with more positive perceptions of the LE by preclerkship students.

Retail clinic utilization associated with lower total cost of care.

OBJECTIVES: To better understand the impact of retail clinic use on a patient's annual total cost of care. STUDY DESIGN: A propensity score matched-pair, cohort design was used to analyze healthcare spending patterns among CVS Caremark employees in the year following a visit to a MinuteClinic, the retail clinics inside CVS pharmacies. METHODS: De-identified medical and pharmacy claims for CVS Caremark employees and their dependents who received care at a retail clinic between June 1, 2009, and May 31, 2010, were matched to those of subjects who received care elsewhere. High-dimensional propensity score and greedy matching techniques were used to create a 1-to-1 matched cohort that was analyzed using generalized linear regression models. RESULTS: Individuals using a retail clinic had a lower total cost of care (-$262; 95% confidence interval, -$510 to -$31; P = .025) in the year following their clinic visit than individuals who received care in other settings. This savings was primarily due to lower medical expenses at physicians' offices ($77 savings, P = .008) and hospital inpatient care ($121 savings, P = .049). The 6022 retail clinic users also had 142 (12%) fewer emergency department visits (P = .01), though this was not related to significant cost savings. CONCLUSIONS: This study found that retail clinic use was associated with lower overall total cost of care compared with that at alternative sites. Savings may extend beyond the retail clinic visit itself to other types of medical utilization.