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].

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.

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.

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.

Can Regionalization of Care Reduce Socioeconomic Disparities in Breast Cancer Survival?

BACKGROUND: Breast cancer patients of low socioeconomic status (SES) have worse survival than more affluent women and are also more likely to undergo surgery in low-volume facilities. Since breast cancer patients treated in high-volume facilities have better survival, regionalizing the care of low SES patients toward high-volume facilities might reduce SES disparities in survival. OBJECTIVE: We leverage a natural experiment in New York state to examine whether a policy precluding payment for breast cancer surgery for New York Medicaid beneficiaries undergoing surgery in low-volume facilities led to reduced SES disparities in mortality. RESEARCH DESIGN: A multivariable difference-in-differences regression analysis compared mortality of low SES (dual enrollees, Medicare-Medicaid) breast cancer patients to that of wealthier patients exempt from the policy (Medicare only) for time periods before and after the policy implementation. SUBJECTS: A total of 14,183 Medicare beneficiaries with breast cancer in 2006-2008 or 2014-2015. MEASURES: All-cause mortality at 3 years after diagnosis and Medicaid status, determined by Medicare administrative data. RESULTS: Both low SES and Medicare-only patients had better 3-year survival after the policy implementation. However, the decline in mortality was larger in magnitude among the low SES women than others, resulting in a 53% smaller SES survival disparity after the policy after adjustment for age, race, and comorbid illness. CONCLUSION: Regionalization of early breast cancer care away from low-volume centers may improve outcomes and reduce SES disparities in survival.

Racial Disparities in Incidence and Outcomes Among Patients With COVID-19.

Importance: Initial public health data show that Black race may be a risk factor for worse outcomes of coronavirus disease 2019 (COVID-19). Objective: To characterize the association of race with incidence and outcomes of COVID-19, while controlling for age, sex, socioeconomic status, and comorbidities. Design, Setting, and Participants: This cross-sectional study included 2595 consecutive adults tested for COVID-19 from March 12 to March 31, 2020, at Froedtert Health and Medical College of Wisconsin (Milwaukee), the largest academic system in Wisconsin, with 879 inpatient beds (of which 128 are intensive care unit beds). Exposures: Race (Black vs White, Native Hawaiian or Pacific Islander, Native American or Alaska Native, Asian, or unknown). Main Outcomes and Measures: Main outcomes included COVID-19 positivity, hospitalization, intensive care unit admission, mechanical ventilation, and death. Additional independent variables measured and tested included socioeconomic status, sex, and comorbidities. Reverse transcription polymerase chain reaction assay was used to test for severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). Results: A total of 2595 patients were included. The mean (SD) age was 53.8 (17.5) years, 978 (37.7%) were men, and 785 (30.2%) were African American patients. Of the 369 patients (14.2%) who tested positive for COVID-19, 170 (46.1%) were men, 148 (40.1%) were aged 60 years or older, and 218 (59.1%) were African American individuals. Positive tests were associated with Black race (odds ratio [OR], 5.37; 95% CI, 3.94-7.29; P = .001), male sex (OR, 1.55; 95% CI, 1.21-2.00; P = .001), and age 60 years or older (OR, 2.04; 95% CI, 1.53-2.73; P = .001). Zip code of residence explained 79% of the overall variance in COVID-19 positivity in the cohort (ρ = 0.79; 95% CI, 0.58-0.91). Adjusting for zip code of residence, Black race (OR, 1.85; 95% CI, 1.00-3.65; P = .04) and poverty (OR, 3.84; 95% CI, 1.20-12.30; P = .02) were associated with hospitalization. Poverty (OR, 3.58; 95% CI, 1.08-11.80; P = .04) but not Black race (OR, 1.52; 95% CI, 0.75-3.07; P = .24) was associated with intensive care unit admission. Overall, 20 (17.2%) deaths associated with COVID-19 were reported. Shortness of breath at presentation (OR, 10.67; 95% CI, 1.52-25.54; P = .02), higher body mass index (OR per unit of body mass index, 1.19; 95% CI, 1.05-1.35; P = .006), and age 60 years or older (OR, 22.79; 95% CI, 3.38-53.81; P = .001) were associated with an increased likelihood of death. Conclusions and Relevance: In this cross-sectional study of adults tested for COVID-19 in a large midwestern academic health system, COVID-19 positivity was associated with Black race. Among patients with COVID-19, both race and poverty were associated with higher risk of hospitalization, but only poverty was associated with higher risk of intensive care unit admission. These findings can be helpful in targeting mitigation strategies for racial disparities in the incidence and outcomes of COVID-19.

Qualitative Assessment of Unmet Information Management Needs of Informal Cancer Caregivers: Four Themes to Inform Oncology Practice.

PURPOSE: Family and friends often provide informal care for patients with cancer, coordinating care and supporting patients at home. Stress, depression, and burnout are increasingly recognized among these informal caregivers. Although past research has described a range of needs, including the need for information, details about unmet informational needs for caregivers have not been fully described. We sought to assess unmet information management needs for informal caregivers in the digital era. METHODS: This was a qualitative research study with semistructured interviews and focus groups of nonprofessional caregivers for patients with cancer, facilitated using a discussion guide. Eligible caregivers supported patients in the community who were in treatment (chemotherapy or radiotherapy) or completed treatment within 3 years. Participants were recruited using informational flyers at an academic cancer center and in the local community of metropolitan Milwaukee, Wisconsin. Sessions were transcribed verbatim and analyzed inductively to identify themes. RESULTS: Thirteen caregivers participated, the majority between 41 and 60 years of age: seven of 13, 53.8%, were predominantly women; 10 of 13 (76.9%) were educated, 10 of 13 (76.9%) had graduated from college; and of modest means, six of 13 (46.2%) had household incomes < $35,000. Four themes emerged: (1) the information overload paradox, where caregivers felt overloaded by information yet had unmet informational needs; (2) navigating volatility as a caregiver, with changing or unknown expectations; (3) caregivers as information brokers, which placed new burdens on caregivers to seek, share, and protect information; and (4) care for the caregiver, including unmet information needs related to self-care. CONCLUSION: This study identified several informational challenges affecting caregivers. Caregivers have dynamic and evolving informational needs, and strategies that support caregivers through just-in-time information availability or dedicated caregiver check-ins may provide relief within the stress of caregiving.

Prevalence and scope of advanced practice provider oncology care among Medicare beneficiaries with breast cancer.

PURPOSE: Advanced practice providers (APPs) have increasingly become members of the oncology care team. Little is known about the scope of care that APPs are performing nationally. We determined the prevalence and extent of APP practice and examined associations between APP care and scope of practice regulations, phase of cancer care, and patient characteristics. METHODS: We performed an observational study among women identified from Medicare claims as having had incident breast cancer in 2008 with claims through 2012. Outpatient APP care included at least one APP independently billing for cancer visits/services. APP scope of practice was classified as independent, reduced, or restricted. A logistic regression model with patient-level random effects was estimated to determine the probability of receiving APP care at any point during active treatment or surveillance. RESULTS: Among 42,550 women, 6583 (15%) received APP care, of whom 83% had APP care during the surveillance phase and 41% during the treatment phase. Among women who received APP care during a given year of surveillance, the overall proportion of APP-billed clinic visits increased with each additional year of surveillance (36% in Year 1 to 61% in Year 4). Logistic regression model results indicate that women were more likely to receive APP care if they were younger, black, healthier, had higher income status, or lived in a rural county or state with independent APP scope of practice. CONCLUSIONS: This study provides important clinical and policy-relevant findings regarding national practice patterns of APP oncology care. Among Medicare beneficiaries with incident breast cancer, 15% received outpatient oncology care that included APPs who were billing; most of this care was during the surveillance phase. Future studies are needed to define the degree of APP oncology practice and training that maximizes patient access and satisfaction while optimizing the efficiency and quality of cancer care.

Housing discrimination and racial cancer disparities among the 100 largest US metropolitan areas.

BACKGROUND: Cancer contributes substantially to the life expectancy gap between US blacks and whites, and racial cancer disparities remain stubborn to eradicate. Disparities vary geographically, suggesting that they are not inevitable. METHODS: The authors examined the relationship between housing discrimination and the size of cancer disparities across large US metropolitan statistical areas (MSAs). MSA-level cancer disparities were measured using data from the US Centers for Disease Control and Prevention. Mortgage discrimination for each MSA was estimated using the Home Mortgage Disclosure Act database, and MSA racial segregation was determined using US Census data. Patterns of housing discrimination and cancer disparities were mapped, and the associations between these place-based factors and cancer disparities across MSAs were measured. RESULTS: Black-to-white cancer mortality disparities (rate ratios) varied geographically, ranging from 1.50 to 0.86; 88% of mortality ratios were >1, indicating higher mortality for blacks. In areas with greater mortgage discrimination, the gap between black and white cancer mortality rates was larger (correlation coefficient [r] = 0.32; P = .001). This relationship persisted in sex-specific analyses (males, r = 0.37; P < .001; females, r = 0.23; P = .02) and in models controlling for confounders. In contrast, segregation was inconsistently associated with disparities. Adjusting for incidence disparities attenuated, but did not eliminate, the correlation between mortgage discrimination and mortality disparities (r = 0.22-0.24), suggesting that cancer incidence and survival each account for part of the mortality disparity. CONCLUSIONS: Mortgage discrimination is associated with larger black-to-white cancer mortality disparities. Some areas are exceptions to this trend. Examination of these exceptions and of policies related to housing discrimination may offer novel strategies for explaining and eliminating cancer disparities.

Variation Among Primary Care Physicians in 30-Day Readmissions.

Background: Whether readmission rates vary by primary care physician (PCP) is unknown, although federal policy holds PCPs accountable for reducing readmissions. Objective: To determine whether 30-day readmission rates vary by PCP. Design: Retrospective cohort study using marginal models and multilevel logistic regression with 100% of data on Texas Medicare claims from 2008 to 2015. Setting: Texas. Participants: Patients discharged alive between 1 January 2008 and 30 November 2015 who had a PCP in the prior year and whose PCP had at least 50 admissions in the study period. Measurements: Readmission within 30 days of discharge. Follow-up visits with a PCP within 7 days of discharge were also measured. Results: Between 2012 and 2015, the mean risk-standardized rate of 30-day readmissions was 12.9%. Of 4230 PCPs, 1 had a readmission rate that was significantly higher than the mean and none had a significantly lower rate. The 10th and 90th percentiles of PCP readmission rates were 12.4% and 13.4%, respectively, each only 0.5 percentage point different from the mean. The 99th percentile of PCP readmission rates was 14.0%, 1.1 percentage points higher than the mean. Detecting a 1.1-percentage point difference from the mean adjusted readmission rate would require more than 3500 admissions per PCP per year. Limitations: Only fee-for-service Medicare patients in a single state were included. The authors could not account for confounders not included in Medicare databases or classify readmissions as avoidable. Conclusion: Variation in readmission rates among PCPs is very low. Programs holding PCPs accountable for readmissions may prove ineffective. Primary Funding Source: National Institutes of Health.

Temporal trends and regional variation in the utilization of low-value breast cancer care: has the Choosing Wisely campaign made a difference?

PURPOSE: Since 2012, about 80 specialty societies have released Choosing Wisely (CW) recommendations aimed at reducing the use of low-value, unproven, or ineffective medical services. The extent to which these recommendations have influenced the behavior of physicians and patients remains largely unknown. METHODS: Using MarketScan Commercial Claims and Medicare Supplemental and Coordination of Benefits databases, we identified annual cohorts of women with incident, early-stage breast cancer and estimated the prevalence of four initial treatment and six surveillance metrics deemed as low-value breast cancer care by CW. Multivariable logistic regressions were subsequently used to estimate temporal trends and regional variation in the use of these metrics, with a special focus on the year of CW's publication. RESULTS: There were 122,341 women identified as undergoing treatment for incident breast cancer between 2010 and 2014. Two of the four low-value initial treatment metrics and four of the six low-value surveillance metrics declined significantly over time. The temporal trend of declining use, however, preceded the release of CW's guidelines. Declines ranged from 11.0% for follow-up mammography to 40.6% for receipt of surgical biopsy without an attempted needle biopsy. There were marked regional differences in use of low-value breast cancer care for all metrics, much of which persisted after publication of CW. CONCLUSIONS: With two notable exceptions, use of low-value breast cancer care has declined steadily since 2010. The declines, however, were not accelerated by the publication of CW recommendations.

Are aromatase inhibitors associated with higher myocardial infarction risk in breast cancer patients? A Medicare population-based study.

BACKGROUND: Theoretically, the estrogen deprivation induced by aromatase inhibitors (AIs) might cause ischemic heart disease, but empiric studies have shown mixed results. We aimed to compare AIs and tamoxifen with regard to cardiovascular events among older breast cancer patients outside of clinical trials. We hypothesized that AIs increase the risk of myocardial infarction. METHODS: We identified women age ≥67 years diagnosed with breast cancer from June 30, 2006 to June 1, 2008 in the surveillance, epidemiology, and end results (SEER)-Medicare database, treated with either tamoxifen or an AI, and followed through December 31, 2012. To compare myocardial infarction (MI) risk for the treatment groups of AIs vs tamoxifen, we developed and assigned stabilized probability of treatment weights and used the Fine and Gray model for time to MI with death not related to MI as a competing risk. RESULTS: Of the cohort of 5648 women, 4690 were treated with AIs and 958 with tamoxifen; a total of 251 patients developed MI, and 22 patients died of MI during the study period while 476 died of other causes. The hazard for MI was not significantly different between AI vs tamoxifen groups (HR = 1.01, 95% CI 0.72-1.42), after adjusting for the following known MI risk factors at the start of adjuvant therapy: diabetes, ischemic heart disease, congestive heart failure, MI, and peripheral vascular disease. CONCLUSIONS: In this SEER-Medicare-based population study, there were no significant differences in the risk of MI between AI and tamoxifen users after adjustment for known risk factors.

The relationship between patient and tumor characteristics, patterns of breast cancer care, and 5-year survival among elderly women with incident breast cancer.

PURPOSE: To examine the relationship between patient and tumor characteristics, patterns of breast cancer care, and 5-year survival among a population-based cohort of elderly women with incident breast cancer, with a special focus on identifying sources of socioeconomic (SES) disparities in outcomes. METHODS: We identified women with newly diagnosed breast cancer in 2006-2009 from the Surveillance and Epidemiology End Result study linked with Medicare claims. A Classification and Regression Tree (CART) model was applied to 13 individual indicators of neoadjuvant and adjuvant breast cancer treatment, tumor characteristics, and patient sociodemographic variables to identify patterns with the greatest discriminant value in predicting 5-year survival. We subsequently examined the extent to which these patterns varied by the patient's SES. RESULTS: Survival probabilities associated with the 18 unique CART-identified patterns ranged from 22 to 87%. The number of positive axillary nodes was the best single discriminator between high and lower survival outcomes. The most common discriminant factor among patterns with poor (< 25%) survival was the absence of radiation treatment, followed by the presence of comorbidities, tumor size > 2 cm, and no breast surgery. Relative to high SES women, poor women were nearly four times (12.3% vs. 3.2%, p < 0.001) as likely to be classified in the pattern associated with worse survival, and less likely (31.7% vs. 52.9%, p = 0.04) to receive the pattern associated with the greatest survival. CONCLUSIONS: Greater adoption of effective patterns of care could improve survival of elderly women with incident breast cancer overall, and reduce SES disparities therein.

Socioeconomic status and breast cancer treatment.

PURPOSE: Evidence suggests substantial disparities in breast cancer survival by socioeconomic status (SES). We examine the extent to which receipt of newer, less invasive, or more effective treatments-a plausible source of disparities in survival-varies by SES among elderly women with early-stage breast cancer. METHODS: Multivariate regression analyses applied to 11,368 women (age 66-90 years) identified from SEER-Medicare as having invasive breast cancer diagnosed in 2006-2009. Socioeconomic status was defined based on Medicaid enrollment and level of poverty of the census tract of residence. All analyses controlled for demographic, clinical health status, spatial, and healthcare system characteristics. RESULTS: Poor and near-poor women were less likely than high SES women to receive sentinel lymph node biopsy and radiation after breast-conserving surgery (BCS). Poor women were also less likely than near-poor or high SES women to receive any axillary surgery and adjuvant chemotherapy. There were no significant differences in use of aromatase inhibitors (AI) between poor and high SES women. However, near-poor women who initiated hormonal therapy were more likely to rely exclusively on tamoxifen, and less likely to use the more expensive but more effective AI when compared to both poor and high SES women. CONCLUSIONS: Our results indicate that SES disparities in the receipt of treatments for incident breast cancer are both pervasive and substantial. These disparities remained despite women's geographic area of residence and extent of disease, suggesting important gaps in access to effective breast cancer care.

Association of Hospitalist Years of Experience With Mortality in the Hospitalized Medicare Population.

Importance: Substantial numbers of hospitalists are fresh graduates of residency training programs. Current data about the effect of hospitalist years of experience on patient outcomes are lacking. Objective: To describe the association of hospitalist years of experience with 30-day mortality and hospital mortality of their patients. Design, Setting, and Participants: We used a 5% sample of national Medicare data of patient and hospital characteristics to build a multilevel logistic regression model to predict mortality as a function of years of experience of the hospitalists. We created 2 cohorts. The first was a cross-sectional cohort of 21 612 hospitalists working between July 1, 2013, and June 30, 2014, with a 5-year look-back period to assess their years of prior experience as a hospitalist, and the second was a longitudinal cohort of 3860 hospitalists in their first year of practice between July 1, 2008, and June 30, 2011, who continued practicing hospital medicine for at least 4 years. Main Outcomes and Measures: Thirty-day postadmission mortality adjusted for patient and hospital characteristics in a 3-level logistic regression model. Hospital mortality was a secondary outcome. Results: Among 21 612 hospitalists caring for Medicare inpatients from July 1, 2013, to June 30, 2014, 5445 (25%) had 1 year of experience or less, while 11 596 (54%) had 4 years of experience or more. We then identified 3860 physicians in their first year as hospitalists who continued to practice as hospitalists for 4 years. There was a significant association between hospitalist experience and mortality. Observed 30-day mortality was 10.50% for patients of first-year hospitalists vs 9.97% for patients of hospitalists in their second year. The mortality odds for patients of second-year hospitalists were 0.90 (95% CI, 0.84-0.96) compared with patients of first-year hospitalists. Observed hospital mortality was 3.33% for patients cared for by first-year hospitalists vs 2.96% for second-year hospitalists. (odds ratio, 0.84; 95% CI, 0.75-0.95). For both 30-day and hospital mortality, there was little change in odds of mortality between the second year and subsequent years of experience. Conclusions and Relevance: Patients cared for by hospitalists in their first year of practice experience higher mortality. Early-career hospitalists may require additional support to ensure optimal outcomes for their patients.

Prevalence and Consequences of Axillary Lymph Node Dissection in the Era of Sentinel Lymph Node Biopsy for Breast Cancer.

BACKGROUND: Despite clear guidelines for its use and wide adoption, no population-based study has examined the extent to which patients with early stage breast cancer are benefiting from sentinel lymph node biopsy (SLNB) by being spared a potentially avoidable axillary lymph node dissection (ALND) and its associated morbidity. OBJECTIVE: Examine variation in type of axillary surgery performed by surgeon volume; investigate the extent and consequences of potentially avoidable ALND. RESEARCH DESIGN/SUBJECTS: Observational study of older women with pathologically node-negative stage I-II invasive breast cancer who underwent surgery in a SEER state in 2008-2009. MEASURES: Surgeon annual volume of breast cancer cases and type of axillary surgery were determined by Medicare claims. An estimated probability of excess lymphedema due to ALND was calculated. RESULTS: Among 7686 pathologically node-negative women, 49% underwent ALND (either initially or after SLNB) and 25% were operated on by low-volume surgeons. Even after adjusting for demographic and tumor characteristics, women treated by higher volume surgeons were less likely to undergo ALND [medium volume: odds ratio, 0.69 (95% confidence interval, 0.51-0.82); high volume: odds ratio, 0.59 (95% confidence interval, 0.45-0.76)]. Potentially avoidable ALND cases were estimated to represent 21% of all expected lymphedema cases. CONCLUSIONS: In this pathologically node-negative population-based breast cancer cohort, only half underwent solely SLNB. Patients treated by low-volume surgeons were more likely to undergo ALND. Resources and guidelines on the appropriate training and competency of surgeons to assure the optimal performance of SLNB should be considered to decrease rates of potentially avoidable ALND and lymphedema.

Oncologists' Views Regarding the Role of Electronic Health Records in Care Coordination.

BACKGROUND: Electronic health records (EHRs) play a significant role in complex health care processes, especially in information transfer with patients and care coordination among providers. EHRs may also generate unintended consequences, introducing new patient safety risks. To date, little investigation has been performed in oncology settings, despite the need for quality provider-patient communication and information transfer during oncology visits. In this qualitative study, we focused on oncology providers' perceptions of EHRs for supporting communication with patients and coordination of care with other providers. METHODS: We conducted semistructured interviews with oncologists from an urban academic medical center to learn their perceptions of the use of EHRs before, during, and after clinic visits with patients. Our interview guide was developed on the basis of the work system model. We coded transcripts using inductive content analysis. RESULTS: Data analysis yielded four main themes regarding oncologists' practices in using the EHR and perceptions about EHRs: (1) EHR use for care coordination (eg, timeliness of receiving information, SmartSet documentation); (2) EHR use in the clinic visit (eg, educating patients, using as a reinforcement tool); (3) safety hazards in care coordination associated with EHRs (eg, incomplete documentation, error propagating, no filtering mechanism to capture errors); and (4) suggestions for improvements (eg, improved SmartSet functionalities, simplification of user interface). CONCLUSION: Current EHRs do not adequately support teamwork of oncology providers, which could lead to potential hazards in the care of patients with cancer. Redesigning EHR features that are tailored to support oncology care and addressing the concerns regarding information overload, improved organization of flagging abnormal results, and documentation-related workload are needed to minimize potential safety hazards.

Geographic Variation of Adjuvant Breast Cancer Therapy Initiation in the United States: Lessons From Medicare Part D.

Background: Drug utilization under Medicare Part D varies significantly by geographic region. This study examined the extent to which geographic variation in Part D plan characteristics contributes to the variation in choice of initial endocrine therapy agent among women with incident breast cancer. Methods: Two-stage multivariate regression analyses were applied to the 16,541 women identified from Medicare claims as having incident breast cancer in 2006-2007. The first stage determined the effect of state of residence on the probability of having an aromatase inhibitor (AI), as opposed to tamoxifen, as initial endocrine therapy. The second stage provided estimates of the impact of state-specific Part D plan characteristics on variation in choice of initial therapy. Results: There was substantial residual geographic variation in the likelihood of using an AI as initial endocrine therapy, despite controlling for socioeconomic status, breast cancer treatment, and other factors. Regression-adjusted probabilities of starting an AI ranged from 57.3% in Wyoming to 92.6% in the District of Columbia. Results from the second stage revealed that variation in characteristics of Part D plans across states explained approximately one-third (30%) of the state-level variability in endocrine therapy. A higher number of plans with cost-sharing above the mean, greater spread in deductibles, and a greater spread in monthly drug premiums were associated with lower adjusted state probabilities of initiating an AI. In contrast, a higher number of drug plans with monthly premiums above the state mean and higher mean cost-sharing (in dollars) were both positively associated with likelihood of starting on an AI. Conclusions: Study findings suggest that variation in benefit design of Part D plans accounts for an important share of the large and persisting variability in use of AIs-the preferred oral therapy for breast cancer.