Breast Cancer Screening and Prevention.

Breast cancer is the most common cancer among U.S. women and its incidence increases with age. Endogenous estrogen exposure, proliferative benign breast disease, breast density, and family history may also indicate increased risk for breast cancer. Early detection with screening mammography reduces breast cancer mortality, but the net benefits vary by age. Assessing a patient's individual breast cancer risk can guide decisions regarding breast cancer screening. All women benefit from healthy behaviors which may reduce breast cancer risk. Some women at increased risk for breast cancer may benefit from risk-reducing medications. Use of screening measures remains suboptimal, especially for uninsured women.

Effect of Implementing a Commercial Electronic Early Warning System on Outcomes of Hospitalized Patients.

Despite the widespread adoption of early warning systems (EWSs), it is uncertain if their implementation improves patient outcomes. The authors report a pre-post quasi-experimental evaluation of a commercially available EWS on patient outcomes at a 700-bed academic medical center. The EWS risk scores were visible in the electronic medical record by bedside clinicians. The EWS risk scores were also monitored remotely 24/7 by critical care trained nurses who actively contacted bedside nurses when a patient's risk levels increased. The primary outcome was inpatient mortality. Secondary outcomes were rapid response team calls and activation of cardiopulmonary arrest (code-4) response teams. The study team conducted a regression discontinuity analysis adjusting for age, gender, insurance, severity of illness, risk of mortality, and hospital occupancy at admission. The analysis included 53,229 hospitalizations. Adjusted analysis showed no significant change in inpatient mortality, rapid response team call, or code-4 activations after implementing the EWS. This study confirms the continued uncertainty in the effectiveness of EWSs and the need for further rigorous examinations of EWSs.

The Variation of Withdrawal of Life Sustaining Therapy in Older Adults With Traumatic Brain Injury.

INTRODUCTION: The decision to withdraw life sustaining treatment (WDLST) in older adults with traumatic brain injury is subject to wide variability leading to nonbeneficial interventions and unnecessary use of hospital resources. We hypothesized that patient and hospital factors are associated with WDLST and WDLST timing. METHODS: All traumatic brain injury patients ≥65 with Glasgow coma scores (GCS) of 4-11 from 2018 to 2019 at level I and II centers were selected from the National Trauma Data Bank. Patients with head abbreviated injury scores 5-6 or death within 24 h were excluded. Bayesian additive regression tree analysis was performed to identify the cumulative incidence function (CIF) and the relative risks (RR) over time for withdrawal of care, discharge to hospice (DH), and death. Death alone (no WDLST or DH) served as the comparator group for all analyses. A subanalysis of the composite outcome WDLST/DH (defined as end-of-life-care), with death (no WDLST or DH) as a comparator cohort was performed. RESULTS: We included 2126 patients, of whom 1957 (57%) underwent WDLST, 402 (19%) died, and 469 (22%) were DH. 60% of patients were male, and the mean age was 80 y. The majority of patients were injured by fall (76%, n = 1644). Patients who were DH were more often female (51% DH versus 39% WDLST), had a past medical history of dementia (45% DH versus 18% WDLST), and had lower admission injury severity score (14 DH versus 18.6 WDLST) (P < 0.001). Compared to those who DH, those who underwent WDLST had a lower GCS (9.8 versus 8.4, P < 0.001). CIF of WDSLT and DH increased with age, stabilizing by day 3. At day 3, patients ≥90 y had an increased RR of DH compared to WDLST (RR 2.5 versus 1.4). As GCS increased, CIF and RR of WDLST decreased, while CIF and RR of DH increased (RR on day 3 for GCS 12: WDLST 0.42 versus DH 1.31).Patients at nonprofit institutions were more likely to undergo WDLST (RR 1.15) compared to DH (0.68). Compared to patients of White race, patients of Black race had a lower RR of WDLST at all timepoints. CONCLUSIONS: Patient and hospital factors influence the practice of end-of-life-care (WDLST, DH, and death), highlighting the need to better understand variability to target palliative care interventions and standardize care across populations and trauma centers.

Centralization of Initial Care and Improved Survival of Poor Patients With Breast Cancer.

PURPOSE: Poor women with breast cancer have worse survival than others, and are more likely to undergo surgery in low-volume facilities. We leveraged a natural experiment to study the effectiveness of a policy intervention undertaken by New York (NY) state in 2009 that precluded payment for breast cancer surgery for NY Medicaid beneficiaries treated in facilities performing fewer than 30 breast cancer surgeries annually. METHODS: We identified 37,822 women with stage I-III breast cancer during 2004-2008 or 2010-2013 and linked them to NY hospital discharge data. A multivariable difference-in-differences approach compared mortality of Medicaid insured patients with that of commercially or otherwise insured patients unaffected by the policy. RESULTS: Women treated during the postpolicy years had slightly lower 5-year overall mortality than those treated prepolicy; the survival gain was significantly larger for Medicaid patients (P = .018). Women enrolled in Medicaid had a greater reduction than others in breast cancer-specific mortality (P = .005), but no greater reduction in other causes of death (P = .50). Adjusted breast cancer mortality among women covered by Medicaid declined from 6.6% to 4.5% postpolicy, while breast cancer mortality among other women fell from 3.9% to 3.8%. A similar effect was not observed among New Jersey Medicaid patients with breast cancer treated during the same years. CONCLUSION: A statewide centralization policy discouraging initial care for breast cancer in low-volume facilities was associated with better survival for the Medicaid population targeted. Given these impressive results and those from prior research, other policymakers should consider adopting comparable policies to improve breast cancer outcomes.[Media: see text].

Association Between COVID-19 and Delirium Development in the General Medical Units at an Academic Medical Center.

INTRODUCTION: Evidence suggests that inpatients who develop delirium experience worse outcomes. Although there is reason to believe that COVID-positive patients may be at a higher risk for developing delirium, little is known about the association between COVID-19 and delirium among hospitalized patients outside the intensive care unit (ICU). This study aimed to examine (1) the independent association between COVID-19 infection and the development of delirium among all non-ICU patients and (2) the risk factors associated with developing delirium among patients admitted with COVID-19, with a special focus on presenting symptoms. METHODS: Using electronic health record (EHR) data of adults admitted to any general medical unit at a large academic medical center from July 2020 through February 2021, we used a cross-sectional multivariable logistic regression to estimate the associations, while adjusting for patients' sociodemographic, clinical characteristics, delirium-free length of stay, as well as time fixed effects. RESULTS: Multivariable regression estimates applied to 20 509 patients hospitalized during the study period indicate that COVID-19-positive patients had 72% higher relative risk (odds ratio 1.72; 95% CI, 1.31 - 2.26; P < 0.001) of developing delirium than the COVID-19-negative patients. However, among the subset of patients admitted with COVID-19, having any COVID-19-specific symptoms was not associated with elevated odds of developing delirium compared to those who were asymptomatic, after controlling for potential confounders. CONCLUSIONS: COVID-19 positivity was associated with higher odds of developing delirium among patients during their non-ICU hospitalization. These findings may be helpful in targeting the use of delirium prevention strategies among non-ICU patients.

Efficacy of a Digital Intervention to Increase Annual Wellness Visit Scheduling Amid COVID-19 Backlog.

BACKGROUND: The Medicare Annual Wellness Visit is a preventive visit that is largely underutilized, a problem further compounded by the COVID-19 pandemic. METHODS: We implemented a digital outreach intervention to improve Annual Wellness Visit scheduling in our health system. Using a bulk outreach functionality in the electronic medical record, we sent a message to patients due for an Annual Wellness Visit and analyzed the efficacy of this message on scheduling rates while also assessing its impact by race. RESULTS: Patients who read the message were 40% more likely to schedule an Annual Wellness Visit (OR 1.42; 95% CI, 1.34 - 1.50) compared to those who did not read the message. DISCUSSION: After this intervention, Annual Wellness Visit scheduling rates increased by 50% for White patients and 325% for Black patients versus prepandemic rates in 2019.

Implementation of an Active Screening Program for SARS-CoV2 - Experience at an Academic Medical Center.

BACKGROUND: This study documents the experience of an academic medical center implementing SARS-CoV2 screening of asymptomatic research personnel to support the "return-to-work" initiative and donor cadavers to support in-person student education. METHODS: Testing was performed on samples received June 1, 2020 (for the cadaver program) and July 20, 2020 (for the personnel screening program) through September 30, 2021. Data were evaluated to document the number of cases and the positivity rate. RESULTS: Approximately 3000 specimens were tested across both programs, with an overall positivity rate of 2.5% and 3.6% in the personnel and cadaver screening programs, respectively. DISCUSSION: This screening program serves as an example of institutional investment in the safety of its faculty, staff, and students alike to address specific needs of a global pandemic.

Nursing implications of an early warning system implemented to reduce adverse events: a qualitative study.

BACKGROUND: Unrecognised changes in a hospitalised patient's clinical course may lead to a preventable adverse event. Early warning systems (EWS) use patient data, such as vital signs, nursing assessments and laboratory values, to aid in the detection of early clinical deterioration. In 2018, an EWS programme was deployed at an academic hospital that consisted of a commercially available EWS algorithm and a centralised virtual nurse team to monitor alerts. Our objective was to understand the nursing perspective on the use of an EWS programme with centralised monitoring. METHODS: We conducted and audio-recorded semistructured focus groups during nurse staff meetings on six inpatient units, stratified by alert frequency (high: >100 alerts/month; medium: 50-100 alerts/month; low: <50 alerts/month). Discussion topics included EWS programme experiences, perception of EWS programme utility and EWS programme implementation. Investigators analysed the focus group transcripts using a grounded theory approach. RESULTS: We conducted 28 focus groups with 227 bedside nurses across all shifts. We identified six principal themes: (1) Alert timeliness, nurses reported being aware of the patient's deterioration before the EWS alert, (2) Lack of accuracy, nurses perceived most alerts as false positives, (3) Workflow interruptions caused by EWS alerts, (4) Questions of actionability of alerts, nurses were often uncertain about next steps, (5) Concerns around an underappreciation of core nursing skills via reliance on the EWS programme and (6) The opportunity cost of deploying the EWS programme. CONCLUSION: This qualitative study of nurses demonstrates the importance of earning user trust, ensuring timeliness and outlining actionable next steps when implementing an EWS. Careful attention to user workflow is required to maximise EWS impact on improving hospital quality and patient safety.

Association of Inpatient Continuity of Care With Complications and Length of Stay Among Hospitalized Medicare Enrollees.

Importance: Continuity in primary care is associated with improved outcomes, but less information is available on the association of continuity of care in the hospital with hospital complications. Objective: To assess whether the number of hospitalists providing care is associated with subsequent hospital complications and length of stay. Design, Setting, and Participants: This retrospective cohort study used multilevel logistic regression models to analyze Medicare claims for medical admissions from 2016 to 2018 with a length of stay longer than 4 days. Admissions with multiple charges on the same day from a hospitalist or an intensive care unit (ICU) stay during hospital days 1 to 3 were excluded. The data were accessed and analyzed from November 1, 2020, to April 30, 2021. Exposures: The number of different hospitalists who submitted charges during hospital days 1 to 3. Main Outcomes and Measures: Overall length of stay and transfer to ICU or a new diagnosis of drug toxic effects on hospital day 4 or later. Results: Among the 617 680 admissions, 362 376 (58.7%) were women, with a mean (SD) age of 80.2 (8.4) years. In 306 037 admissions (49.6%), the same hospitalist provided care on days 1 to 3, while 2 hospitalists provided care in 274 658 admissions (44.5%), and 3 hospitalists provided care in 36 985 admissions (6.0%). There was no significant association between the number of different hospitalists on days 1 to 3 and either length of stay or subsequent ICU transfers. Admissions seeing 2 or 3 hospitalists had a slightly greater adjusted odds of subsequent new diagnoses of drug toxic effects (2 hospitalists: odds ratio [OR], 1.04; 95% CI, 1.02-1.07; 3 hospitalists: OR, 1.07; 95% CI, 1.03-1.12). Conclusions and Relevance: There was little evidence that receiving care from multiple hospitalists was associated with worse outcomes for patients receiving all their general medical care from hospitalists.

Disparities in utilization of outpatient surgical care among children.

BACKGROUND: The purpose of this study was to quantify disparities in the utilization of outpatient pediatric surgical care and to examine the extent to which neighborhood-level socioeconomic disadvantage is associated with access to care among children. METHODS: Clinic "no-shows" were examined among children scheduled from 2017 to 2019 at seven pediatric surgery clinics associated with a tertiary care children's hospital. The association between Area Deprivation Index, a neighborhood-level measure of socioeconomic disadvantage, and other patient factors with clinic no-shows was examined using multivariable logistic regression models. Difficulties in accessing postoperative care in particular were explored in a subgroup analysis of postoperative (within 90 days) clinic visits after appendectomy or inguinal/umbilical hernia repairs. RESULTS: Among 10,162 patients, 16% had at least 1 no-show for a clinic appointment. Area Deprivation Index (most deprived decile adjusted odds ratio 3.17, 95% confidence interval 2.20-4.58, P < .001), Black race (adjusted odds ratio 3.30, 95% confidence interval 2.70-4.00, P < .001), and public insurance (adjusted odds ratio 2.75, 95% confidence interval 2.38-3.31, P < .001) were associated with having at least 1 no-show. Similar associations were identified among 2,399 children scheduled for postoperative clinic visits after undergoing appendectomy or inguinal/umbilical hernia repair, among whom 20% were a no-show. CONCLUSION: Race, insurance type, and neighborhood-level socioeconomic disadvantage are associated with disparities in utilization of outpatient pediatric surgical care. Challenges accessing routine outpatient care among disadvantaged children may be one mechanism through which disparate outcomes result among children requiring surgical care.

Variation among hospitals in the continuity of care for older hospitalized patients: a cross-sectional cohort study.

BACKGROUND: Little is known about how continuity of care for hospitalized patients varies among hospitals. We describe the number of different general internal medicine physicians seeing hospitalized patients during a medical admission and how that varies by hospital. METHODS: We conducted a retrospective study of a national 20% sample of Medicare inpatients from 01/01/16 to 12/31/18. In patients with routine medical admissions (length of stay of 3-6 days, no Intensive Care Unit stay, and seen by only one generalist per day), we assessed odds of receiving all generalist care from one generalist. We calculated rates for each hospital, adjusting for patient and hospital characteristics in a multi-level logistic regression model. RESULTS: Among routine medical admissions with 3- to 6-day stays, only 43.1% received all their generalist care from the same physician. In those with a 3-day stay, 50.1% had one generalist providing care vs. 30.8% in those with a 6-day stay. In a two-level (admission and hospital) logistic regression model controlling for patient characteristics and length of stay, the odds of seeing just one generalist did not vary greatly by patient characteristics such as age, race/ethnicity, comorbidity or reason for admission. There were large variations in continuity of care among different hospitals and geographic areas. In the highest decile of hospitals, the adjusted mean percentage of patients receiving all generalist care from one physician was > 84.1%, vs. < 24.1% in the lowest decile. This large degree of variation persisted when hospitals were stratified by size, ownership, location or teaching status. CONCLUSIONS: Continuity of care provided by generalist physicians to medical inpatients varies widely among hospitals. The impact of this variation on quality of care is unknown.

Mortgage Lending Bias and Breast Cancer Survival Among Older Women in the United States.

PURPOSE: The objective was to examine the relationship between contemporary redlining (mortgage lending bias on the basis of property location) and survival among older women with breast cancer in the United States. METHODS: A redlining index using Home Mortgage Disclosure Act data (2007-2013) was linked by census tract with a SEER-Medicare cohort of 27,516 women age 66-90 years with an initial diagnosis of stage I-IV breast cancer in 2007-2009 and follow-up through 2015. Cox proportional hazards models were used to examine the relationship between redlining and both all-cause and breast cancer-specific mortality, accounting for covariates. RESULTS: Overall, 34% of non-Hispanic White, 57% of Hispanic, and 79% of non-Hispanic Black individuals lived in redlined tracts. As the redlining index increased, women experienced poorer survival. This effect was strongest for women with no comorbid conditions, who comprised 54% of the sample. For redlining index values of 1 (low), 2 (moderate), and 3 (high), as compared with 0.5 (least), hazard ratios (HRs) (and 95% CIs) for all-cause mortality were HR = 1.10 (1.06 to 1.14), HR = 1.27 (1.17 to 1.38), and HR = 1.39 (1.25 to 1.55), respectively, among women with no comorbidities. A similar pattern was found for breast cancer-specific mortality. CONCLUSION: Contemporary redlining is associated with poorer breast cancer survival. The impact of this bias is emphasized by the pronounced effect even among women with health insurance (Medicare) and no comorbid conditions. The magnitude of this neighborhood level effect demands an increased focus on upstream determinants of health to support comprehensive patient care. The housing sector actively reveals structural racism and economic disinvestment and is an actionable policy target to mitigate adverse upstream health determinants for the benefit of patients with cancer.

An adapted two-step floating catchment area method accounting for urban-rural differences in spatial access to pharmacies.

OBJECTIVE: To adapt the two-step floating catchment area approach to account for urban-rural differences in pharmacy access in the United States. METHODS: The urban-rural two-step floating catchment area method was described mathematically. To calculate urban-rural-two-step floating catchment area measure, census tracts and pharmacies within the study area (Southeastern Wisconsin) were classified as urban, suburban or rural, and then different catchment area sizes (2, 5 and 15 miles) were applied, based on the Centers for Medicare & Medicaid Services (CMS)' criteria for Medicare Part D service access within urban, suburban and rural areas. The urban-rural-two-step floating catchment area measures were compared to traditional two-step floating catchment area measures computed using three fixed catchment area sizes (2, 5, and 15 miles) by visually examining their spatial distributions. Associations between the four pharmacy accessibility measures and selected socio-demographics are calculated using Spearman's rank-order correlation and further compared. KEY FINDINGS: The urban-rural two-step floating catchment area measure outperforms all the fixed catchment size measures and has the strongest Spearman correlations with the selected census variables. It also reduces the number of census tracts characterized as 'no access' when compared to the original measures. The spatial distribution of urban-rural two-step floating catchment area pharmacy access exhibits a more granular variation across the study area. CONCLUSIONS: The results support our hypothesis that spatial access to pharmacies should account for urbanicity/rurality patterns within a region.

Guideline-concordant treatment predicts survival: a National Cancer Database validation study of novel composite locoregional and systemic treatment scores among women with early stage breast cancer.

BACKGROUND: The aim of this large nationwide study was to validate two novel composite treatment scores that address guideline-concordant locoregional and systemic breast cancer care. We examined the relationship between these two scores and their association with survival. METHODS: Women with Stage I-III unilateral breast cancer were identified within the National Cancer Database. For each woman, a locoregional and a systemic treatment score (0, 1, 2) was assigned based on receipt of guideline-concordant care. Multivariable Cox regression models evaluated the association between the scores and survival. RESULTS: 623,756 women were treated at 1,221 different American College of Surgeons Commission on Cancer (CoC) facilities. Overall, 86% had a locoregional treatment score of 2 (most guideline-concordant), 75% had a systemic treatment score of 2, and 72% had both scores of 2. Median follow-up was 4.5 years. Compared to women with a locoregional treatment score of 2, those with a score of 1 or 0 had a 1.7-fold and 2.0-fold adjusted greater risk of death. Compared to women with a systemic treatment score of 2, those with a score of 1 or 0 had a 1.5-fold and 2.1-fold adjusted greater risk of death. Risk-adjusted 5-year overall survival was 91.6% when both scores were 2 compared to 73.4% when both scores were 0. CONCLUSIONS: In this large national study of CoC facilities, two composite scores capturing guideline-concordant breast cancer care had independent and combined robust effects on survival. These clinically constructed novel scores are promising tools for health services research and quality-of-care studies.

Transmission Dynamics of Clostridioides difficile in 2 High-Acuity Hospital Units.

BACKGROUND: The key epidemiological drivers of Clostridioides difficile transmission are not well understood. We estimated epidemiological parameters to characterize variation in C. difficile transmission, while accounting for the imperfect nature of surveillance tests. METHODS: We conducted a retrospective analysis of C. difficile surveillance tests for patients admitted to a bone marrow transplant (BMT) unit or a solid tumor unit (STU) in a 565-bed tertiary hospital. We constructed a transmission model for estimating key parameters, including admission prevalence, transmission rate, and duration of colonization to understand the potential variation in C. difficile dynamics between these 2 units. RESULTS: A combined 2425 patients had 5491 admissions into 1 of the 2 units. A total of 3559 surveillance tests were collected from 1394 patients, with 11% of the surveillance tests being positive for C. difficile. We estimate that the transmission rate in the BMT unit was nearly 3-fold higher at 0.29 acquisitions per percentage colonized per 1000 days, compared to our estimate in the STU (0.10). Our model suggests that 20% of individuals admitted into either the STU or BMT unit were colonized with C. difficile at the time of admission. In contrast, the percentage of surveillance tests that were positive within 1 day of admission to either unit for C. difficile was 13.4%, with 15.4% in the STU and 11.6% in the BMT unit. CONCLUSIONS: Although prevalence was similar between the units, there were important differences in the rates of transmission and clearance. Influential factors may include antimicrobial exposure or other patient-care factors.

SARS-CoV-2 Cycle Thresholds, Poverty, Race, and Clinical Outcomes.

BACKGROUND: Poverty and high viral load are associated with worse outcomes among COVID-19 patients. METHODS: We included patients admitted to Froedtert Health between March 16 and June 1, 2020. SARS-CoV-2 viral load was proxied by cycle-threshold values. To measure poverty, we used Medicaid or uninsured status and residence in socially disadvantaged areas. We assessed the association between viral load and length of stay and discharge disposition, while controlling for demographics and confounders. RESULTS: Higher viral load was associated with longer length of stay (coefficient -0.02; 95% CI, -0.04 to 0.01; P = 0.006) and higher likelihood of death (coefficient -0.11; 95% CI, -0.17 to -0.06; P < 0.001). Poverty, residence in disadvantaged areas, and race were not. DISCUSSION: This study confirms a relationship of viral load with in-hospital death, even after controlling for race and poverty.

Collective Action: The Medical College of Wisconsin COVID-19 Vaccination Program.

The Medical College of Wisconsin (MCW) COVID-19 Vaccination Program facilitated early vaccination efforts in metro Milwaukee, Wisconsin from December, 2020 through April, 2021. Goals of the program were to work with clinical partners to ensure rapid vaccination availability for the institution's frontline workforce, to support state public health agencies in offering a vaccination opportunity for underserved and higher education community members, and to train vaccinators. A key component of the program was the MCW COVID-19 Vaccination Clinic, and 88% of MCW's workforce was fully immunized against COVID-19 with the 2-dose, mRNA vaccine by April 30, 2021. Within the MCW clinic, 219 pharmacy and medical students learned to administer vaccinations, and 12,450 community vaccinations were administered.