Association between nintedanib adherence trajectory and healthcare use among idiopathic pulmonary fibrosis patients.

BACKGROUND: Although inverse associations have been found between medication adherence and healthcare use and spending outcomes in many clinical settings, no studies to date have examined these relationships for patients with idiopathic pulmonary fibrosis (IPF) initiating nintedanib. We build on our prior study that used group-based trajectory modeling (GBTM) to compare inpatient hospitalization and medical care spending outcomes between groups of patients with different nintedanib adherence trajectories. METHODS: This analysis used 100% Medicare data and included beneficiaries with IPF who initiated nintedanib during 10/01/2014-12/31/2018. The sample consisted of community-dwelling older adults (≥ 66 years) with continuous coverage in Medicare Parts A (inpatient care), B (outpatient care) and D (prescription drugs) for one year before (baseline) and after (follow-up) initiating nintedanib. Patients were assigned to the GBTM-derived adherence trajectory group closest to their own nintedanib adherence experience. All-cause and IPF-related hospitalization events and total medical spending were measured during the follow-up period. Unadjusted and adjusted regression models were estimated to compare outcomes between patients in different nintedanib adherence trajectories. RESULTS: Among the 1,798 patients initiating nintedanib, the mean age was 75.4 years, 61.1% were male, and 91.1% were non-Hispanic white. The best-fitting GBTM had five adherence trajectories: high adherence, moderate adherence, high-then-poor adherence, delayed-poor adherence, and early-poor adherence. All-cause hospitalizations and total all-cause medical spending were higher among patients in the high-then-poor, delayed-poor and early-poor adherence trajectories than those in the high adherence trajectory. For example, adjusted total all-cause medical spending was $4,876 (95% CI: $1,470 to $8,282) higher in the high-then-poor adherence trajectory, $3,639 (95% CI: $1,322 to $5,955) higher in the delayed-poor adherence trajectory and $3,907 (95% CI: $1,658 to $6,156) higher in the early-poor adherence trajectory compared with the high adherence trajectory. IPF-related hospitalizations and medical care spending were higher among those in the high-then-poor adherence trajectory compared with those in the high adherence trajectory. CONCLUSIONS: Poor adherence to nintedanib was associated with all-cause hospitalizations and medical costs. Therefore, improved adherence programs, such as support programs, can be implemented to reduce economic burden.

Using group based trajectory modeling for assessing medication adherence to nintedanib among idiopathic pulmonary fibrosis patients.

BACKGROUND AND OBJECTIVE: Adherence to antifibrotic medications has been evaluated in a few studies using annual proportion of days covered (PDC), a common adherence metric. However, PDC alone cannot identify and distinguish between different patterns of adherence over time, which can be accomplished using group-based trajectory models (GBTM) of monthly PDC. The objective is to assess nintedanib adherence trajectories using GBTM and identify characteristics of patients within each trajectory group. METHODS: Individuals with idiopathic pulmonary fibrosis (IPF) who initiated nintedanib during 10/1/2014-12/31/2018 were identified in 100% Medicare claims and enrollment data. The sample consisted of community-dwelling older adults (≥ 66 years) with continuous coverage in Medicare Parts A, B and D for one year before (baseline) and after (follow-up) initiating nintedanib. A series of GBTMs of adherence was estimated to identify the best-fitting specification. Patients were then grouped based on their estimated adherence trajectories. Associations between baseline patient characteristics, including demographics, comorbidities, and health care use, and group membership probabilities were quantified as odds ratios using fractional multinomial logit modeling. RESULTS: Among the 1,798 patients initiating nintedanib, mean age was 75.4 years, 61.1% were male, and 91.1% were non-Hispanic white. The best-fitting GBTM had five adherence trajectory groups: high adherence (43.1%), moderate adherence (11.9%), high-then-poor adherence (10.4%), delayed-poor adherence (13.2%), and early-poor adherence (21.5%). The principal factors associated with higher odds of being in at least one of the poor-adherence groups were older age, female sex, race and ethnicity other than non-Hispanic white, and number of medications during baseline. CONCLUSIONS: GBTM identified distinct patterns of nintedanib adherence for the IPF patient cohort. Identifying adherence trajectory groups and understanding the characteristics of their members provide more actionable information to personalize interventions than conventional metrics of medication adherence.

The Differential Effects of Insurance Mandates on Health Care Spending for Children's Autism Spectrum Disorder.

OBJECTIVES: There is substantial variation in treatment intensity among children with autism spectrum disorder (ASD). This study asks whether policies that target health care utilization for ASD affect children differentially based on this variation. Specifically, we examine the impact of state-level insurance mandates that require commercial insurers to cover certain treatments for ASD for any fully-insured plan. METHODS: Using insurance claims between 2008 and 2012 from three national insurers, we used a difference-in-differences approach to compare children with ASD who were subject to mandates to children with ASD who were not. To allow for differential effects, we estimated quantile regressions that evaluate the impact of mandates across the spending distributions of three outcomes: (1) monthly spending on ASD-specific outpatient services; (2) monthly spending on ASD-specific inpatient services; and (3) quarterly spending on psychotropic medications. RESULTS: The change in spending on ASD-specific outpatient services attributable to mandates varied based on the child's level of spending. For those children with ASD who were subject to the mandate, monthly spending for a child in the 95th percentile of the ASD-specific outpatient spending distribution increased by $1460 (P<0.001). In contrast, the effect was only $2 per month for a child in the fifth percentile (P<0.001). Mandates did not significantly affect spending on ASD-specific inpatient services or psychotropic medications. CONCLUSIONS: State-level insurance mandates have larger effects for those children with higher levels of spending. To the extent that spending approximates treatment intensity and the underlying severity of ASD, these results suggest that mandates target children with greater service needs.

Effect of Social Comparison Feedback on Laboratory Test Ordering for Hospitalized Patients: A Randomized Controlled Trial.

BACKGROUND: Social comparison feedback is an increasingly popular strategy that uses performance report cards to modify physician behavior. Our objective was to test the effect of such feedback on the ordering of routine laboratory tests for hospitalized patients, a practice considered overused. METHODS: This was a single-blinded randomized controlled trial. Between January and June 2016, physicians on six general medicine teams at the Hospital of the University of Pennsylvania were cluster randomized with equal allocation to two arms: (1) those e-mailed a summary of their routine laboratory test ordering vs. the service average for the prior week, linked to a continuously updated personalized dashboard containing patient-level details, and snapshot of the dashboard and (2) those who did not receive the intervention. The primary outcome was the count of routine laboratory test orders placed by a physician per patient-day. We modeled the count of orders by each physician per patient-day after the intervention as a function of trial arm and the physician's order count before the intervention. The count outcome was modeled using negative binomial models with adjustment for clustering within teams. RESULTS: One hundred and fourteen interns and residents participated. We did not observe a statistically significant difference in adjusted reduction in routine laboratory ordering between the intervention and control physicians (physicians in the intervention group ordered 0.14 fewer tests per patient-day than physicians in the control group, 95% CI - 0.56 to 0.27, p = 0.50). Physicians whose absolute ordering rate deviated from the peer rate by more than 1.0 laboratory test per patient-day reduced their laboratory ordering by 0.80 orders per patient-day (95% CI - 1.58 to - 0.02, p = 0.04). CONCLUSIONS: Personalized social comparison feedback on routine laboratory ordering did not change targeted behavior among physicians, although there was a significant decrease in orders among participants who deviated more from the peer rate. TRIAL REGISTRATION: Clinicaltrials.gov registration: #NCT02330289.

Validation of Molecular Pathology Codes for the Identification of Mutational Testing in Lung and Colon Cancer.

BACKGROUND: Targeted therapy for patients with lung and colon cancer based on tumor molecular profiles is an important cancer treatment strategy, but the impact of gene mutation tests on cancer treatment and outcomes in large populations is not clear. In this study, we assessed the accuracy of an algorithm to identify tumor mutation testing in administrative claims data during a period before test-specific Current Procedural Terminology codes were available. MATERIALS AND METHODS: We used Pennsylvania Cancer Registry data to select patients with lung or colon cancer diagnosed between 2007 and 2011 who were treated at the University of Pennsylvania Health System, and we obtained their administrative claims. A combination of Current Procedural Terminology laboratory codes (stacking codes) was used to identify potential tumor mutation testing in the claims data. Patients' electronic medical records were then searched to determine whether tumor mutation testing actually had been performed. The sensitivity, specificity, positive predictive value (PPV), and negative predictive value (NPV) were calculated. RESULTS: An algorithm using stacking codes had moderate sensitivity (86% for lung cancer and 81% for colon cancer) and high specificity (98% for lung cancer and 96% for colon cancer). Sensitivity and specificity did not vary significantly during 2007-2011. In patients with lung cancer, PPV was 98% and NPV was 92%. In patients with colon cancer, PPV was 96% and NPV was 83%. CONCLUSIONS: An algorithm using stacking codes can identify tumor mutation testing in administrative claims data among patients with lung and colon cancer with a high degree of accuracy.

Survival implications of time to surgical treatment of endometrial cancers.

BACKGROUND: Optimal care for women with endometrial cancers often involves transfer of care from diagnosing physicians (eg, obstetrician-gynecologists) to treating physicians (eg, gynecologic oncologists.) It is critical to determine the effect of time to treatment on cancer outcomes to set best practices guidelines for referral processes. OBJECTIVE: We sought to determine the impact of time from diagnosis of endometrial cancer to surgical treatment on mortality and to characterize those patients who may be at highest risk for worsened survival related to surgical timing. STUDY DESIGN: The National Cancer Database was queried for incident endometrial cancers in adults from 2003 through 2012. Cancers were classified as low risk (grade 1 or 2 endometrioid histologies) or high risk (nonendometrioid and grade 3 endometrioid histologies) and analyzed separately. Demographic, clinicopathologic, and health system factors were collected. Unadjusted and adjusted hazard ratios for mortality were calculated by interval between diagnosis and surgery. Linear regression of patient and health care system characteristics was performed on diagnosis-to-surgery interval. RESULTS: For low-risk cancers (N = 140,078), surgery in the first and second weeks after diagnosis was independently associated with mortality risk (hazard ratio, 1.4; 95% confidence interval, 1.3-1.5; and hazard ratio, 1.1; 95% confidence interval, 1.0-1.2, respectively). The 30-day postoperative mortality was significantly higher among patients undergoing surgery in the first or second week postdiagnosis, compared to patients treated in the third or fourth week postdiagnosis (0.7% vs 0.4%; P < .001). Mortality risk was also significantly higher than baseline when time between diagnosis and surgery was >8 weeks. Independent associations with added time to surgery of at least 1 week were seen with black race (1.1 weeks; 95% confidence interval, 0.9-1.4), uninsurance (1.3 weeks; 95% confidence interval, 1.1-1.5), Medicaid insurance (1.7 weeks; 95% confidence interval, 1.5-1.9), and Charlson-Deyo comorbidity score >1 (1.0 weeks; 95% confidence interval, 0.8-1.2). For high-risk cancers (N = 68,360), surgery in the first and second weeks after diagnosis was independently associated with mortality risk (hazard ratio, 1.5; 95% confidence interval, 1.3-1.6; and hazard ratio, 1.2; 95% confidence interval, 1.1-1.2, respectively). The 30-day postoperative mortality was significantly higher among patients undergoing surgery in the first or second week postdiagnosis, compared to patients treated in the third or fourth week postdiagnosis (2.5% vs 1.0%; P < .001). Surgery after the third week postdiagnosis was not associated with a statistically significant increase in the adjusted risk of mortality. Independent associations with added time to surgery of at least 1 week were seen with uninsurance (1.4 weeks; 95% confidence interval, 0.9-1.9) and Medicaid insurance (1.4 weeks; 95% confidence interval, 1.1-1.7). CONCLUSION: Surgery in the first 2 weeks after diagnosis of endometrial cancer was associated with worsened survival associated with elevated perioperative mortality and treatment in low-volume hospitals. Delay in surgical treatment was a risk factor for mortality in low-risk cancers only and was likely associated with poor access to specialty care. We suggest that the target interval between diagnosis and treatment of endometrial cancers be ≤8 weeks; however, referral to an experienced surgeon and adequate preoperative optimization should be prioritized over expedited surgery.

The role of acuity of illness at presentation in early mortality in black children with acute myeloid leukemia.

Black patients with acute myeloid leukemia (AML) experience higher mortality than White patients. We compared induction mortality, acuity of illness prior to chemotherapy, and insurance type between Black and White patients to assess whether acuity of presentation mediates the disparity. Within a retrospective cohort of 1,122 children with AML treated with two courses of standard induction chemotherapy between 2004 and 2014 in the Pediatric Health Information System (PHIS) database, the association between race (Black versus White) and inpatient mortality during induction was examined. Intensive Care Unit (ICU)-level resource utilization during the first 72 hours following admission for initial AML chemotherapy was evaluated as a potential mediator. The total effect of race on mortality during Induction I revealed a strong association (unadjusted HR 2.75, CI: 1.18, 6.41). Black patients had a significantly higher unadjusted risk of requiring ICU-level resources within the first 72 hours after initial presentation (17% versus 11%; RR 1.52, CI: 1.04, 2.24). Mediation analyses revealed the indirect effect of race through acuity accounted for 61% of the relative excess mortality during Induction I. Publicly insured patients experienced greater induction mortality than privately insured patients regardless of race. Black patients with AML have significantly greater risk of induction mortality and are at increased risk for requiring ICU-level resources soon after presentation. Higher acuity amongst Black patients accounts for a substantial portion of the relative excess mortality during Induction I. Targeting factors affecting acuity of illness at presentation may lessen racial disparities in AML induction mortality.

The Impact of Reported Hospice Preferred Practices on Hospital Utilization at the End of Life.

BACKGROUND: The Affordable Care Act requires hospices to report quality measures across a range of processes and practices. Yet uncertainties exist regarding the impact of hospice preferred practices on patient outcomes. OBJECTIVE: Assess the impact of 6 hospice preferred practices and hospice organizational characteristics on hospital utilization and death using the first national data on hospice preferred practices. DESIGN: Longitudinal cohort study (2008-2011) of Medicare beneficiaries (N=149,814) newly enrolled in a national random sample of hospices (N=577) from the National Hospice Survey (84% response rate) and followed until death. OUTCOME MEASURES: The proportion of patients at each hospice admitted to the hospital, emergency department (ED), and intensive care unit (ICU), and who died in the hospital after hospice enrollment. RESULTS: Hospices that reported assessing patient preferences for site of death at admission had lower odds of being in the highest quartile for hospital death (AOR=0.36; 95% CI, 0.14-0.93) and ED visits (AOR=0.27; 95% CI, 0.10-0.76). Hospices that reported more frequently monitoring symptoms had lower odds of being in the highest quartile for ICU stays (AOR=0.48; 95% CI, 0.24-0.94). In adjusted analyses, a higher proportion of patients at for-profit compared with nonprofit hospices experienced a hospital admission (15.3% vs. 10.9%, P<0.001), ED visit (21.8% vs. 15.6%, P<0.001), and ICU stay (5.1% vs. 3.0%, P<0.001). CONCLUSIONS: Hospitalization of patients following hospice enrollment varies substantially across hospices. Two of the 6 preferred practices examined were associated with hospitalization rates and for-profit hospices had persistently high hospitalization rates regardless of preferred practice implementation.

Non-surgical management of ovarian cancer: Prevalence and implications.

PURPOSE: To identify prevalence, correlates and survival implications of non-surgically managed epithelial ovarian cancer (EOC). METHODS: The National Cancer Database (NCDB) was queried for EOC cases between 2003 and 2011. Type of treatment, survival data, reasons for non-surgical treatment, clinicopathologic and process-based factors were collected. Logistic regression identified independent predictors of surgical treatment; Cox proportional hazards regression modeled association between time to death and receipt of surgery. RESULTS: 172,687 of 210,667 patients (82%) received surgical treatment for EOC. 95% of patients treated non-surgically had stage III, stage IV or unknown stage disease. The reason for non-surgical treatment was unclear in 80% of cases. Black race and uninsurance were significantly associated with non-surgical treatment. Median survival time was 57.4months (95% CI: 56.8-57.9) for surgery with or without systemic treatment compared to 11.9months (95% CI: 11.6-12.2) for systemic treatment alone and 1.4months (95% CI: 1.3-1.4) for no treatment. Relative to surgical treatment, the adjusted hazard ratio for death associated with systemic treatment alone was 1.9 (p<0.001); hazard ratio for untreated patients was 4.7 (p<0.001). Among 29,921 patients older than 75 with Stage III/IV disease, 21.5% received only systemic treatment; 22.8% were entirely untreated. CONCLUSION: 18% of EOC patients in the NCDB did not receive surgical treatment. These patients experienced significantly worsened survival. Prospective investigation is needed to determine how often apparent deviation from best-practices guidelines is clinically appropriate. Non-surgically treated patients may be at risk for poor access to gynecologic oncology care and deserve further study.

A Nomogram to Predict Lymph Node Positivity Following Neoadjuvant Chemoradiation in Locally Advanced Rectal Cancer.

BACKGROUND: Patients with locally advanced rectal cancer typically receive neoadjuvant chemoradiation followed by total mesorectal excision. Other treatment approaches, including transanal techniques and close surveillance, are becoming increasingly common following positive responses to chemoradiation. Lack of pathologic lymph node staging is one major disadvantage of these novel strategies. OBJECTIVE: The purposes of this study were to determine clinicopathologic factors associated with positive lymph nodes following neoadjuvant chemoradiation for rectal cancer and to create a nomogram using these factors to predict rates of lymph node positivity. DESIGN: This is a retrospective cohort analysis. SETTINGS: This study used the National Cancer Database. PATIENTS: Patients aged 18 to 90 with clinical stage T3/T4, N0, M0 or Tany, N1-2, M0 adenocarcinoma of the rectum who underwent neoadjuvant chemoradiation before total mesorectal excision from 2010 to 2012 were identified. MAIN OUTCOME MEASURES: The primary outcome measure was lymph node positivity after neoadjuvant chemoradiation for locally advanced rectal cancer. Bivariate and multivariate analyses were used to determine the associations of clinicopathologic variables with lymph node positivity. RESULTS: Eight thousand nine hundred eighty-four patients were included. Young age, lower Charlson score, mucinous histology, poorly differentiated and undifferentiated tumors, the presence of lymphovascular invasion, elevated CEA level, and clinical lymph node positivity were significantly predictive of pathologic lymph node positivity following neoadjuvant chemoradiation. The predictive accuracy of the nomogram is 70.9%, with a c index of 0.71. There was minimal deviation between the predicted and observed outcomes. LIMITATIONS: This study is retrospective, and it cannot be determined when in the course of treatment the data were collected. CONCLUSIONS: We created a nomogram to predict lymph node positivity following neoadjuvant chemoradiation for locally advanced rectal cancer that can serve as a valuable complement to imaging to aid clinicians and patients in determining the best treatment strategy.

Trends in surveillance for resected colorectal cancer, 2001-2009.

BACKGROUND: Little is known about recent trends in surveillance among the more than 1 million US colorectal cancer (CRC) survivors. Moreover, for stage I disease, which accounts for more than 30% of survivors, the guidelines are limited, and the use of surveillance has not been well studied. Guidelines were changed in 2005 to include recommendations for computed tomography (CT) surveillance in select patients, but the impact of these changes has not been explored. METHODS: A retrospective analysis of patients who were identified in the Survival, Epidemiology, and End Results-Medicare database and underwent resection of stage I to III CRC between 2001 and 2009 was performed. The receipt of guideline-determined sufficient surveillance, including office visits, colonoscopy, carcinoembryonic antigen (CEA) testing, and CT imaging, in the 3 years after resection was evaluated. RESULTS: The study included 23,990 colon cancer patients and 5665 rectal cancer patients. Rates of office visits and colonoscopy were high and stable over the study period. Rates of CEA surveillance increased over the study period but remained low, even for stage III disease. Rates of CT imaging increased gradually during the study period, but the 2005 guideline change had no effect. Stage II patients, including high-risk patients, received surveillance at significantly lower rates than stage III patients despite similar recommendations. Conversely, up to 30% of stage I patients received nonrecommended CEA testing and CT imaging. CONCLUSIONS: There continues to be substantial underuse of surveillance for CRC survivors and particularly for stage II patients, who constitute almost 40% of survivors. The 2005 guideline change had a negligible impact on CT surveillance. Conversely, although guidelines are limited, many stage I patients are receiving intensive surveillance.

Variation in use of echocardiography among veterans who use the Veterans Health Administration vs Medicare.

BACKGROUND: Rapid growth in the provision of cardiac imaging tests has led to concerns about overuse. Little is known about the degree to which health care delivery system characteristics influence use and variation in echocardiography. METHODS: We analyzed administrative claims of veterans with heart failure older than 65 years from 2007 to 2010 across 34 metropolitan service areas (MSAs). We compared overall rates and geographic variation in use of transthoracic echocardiography (TTE) between veterans who used the Veterans Health Administration (VA) and propensity-matched veterans who used Medicare. "Dual users" were excluded. RESULTS: There were no significant differences in clinical characteristics or mortality between the propensity-matched cohorts (overall n = 30,404 veterans, mean age 76 years, mortality rate 52%). The Medicare cohort had a significantly higher overall rate of TTE use compared with the VA cohort (1.25 vs 0.38 TTEs per person-year, incidence rate ratio 2.89 [95% CI 2.80-3.00], both P < .001), but a similar coefficient of variation across MSAs (0.36 [95% CI 0.27-0.45] vs 0.48 [95% CI 0.37-0.59]). There was a moderate to strong correlation in variation at the MSA level between cohorts (Spearman r = 0.58, P < .001). CONCLUSION: Overall rates of TTE use were significantly higher in a Medicare cohort compared with a propensity score-matched VA cohort of veterans with heart failure living in urban areas, with similar relative degrees of geographic variation and moderate to strong regional correlation. Rates of TTE use may be strongly influenced by health care system characteristics, but local practice styles influence echocardiography rates irrespective of health system.

Antipsychotic prescribing: do conflict of interest policies make a difference?

BACKGROUND: Academic medical centers (AMCs) have increasingly adopted conflict of interest policies governing physician-industry relationships; it is unclear how policies impact prescribing. OBJECTIVES: To determine whether 9 American Association of Medical Colleges (AAMC)-recommended policies influence psychiatrists' antipsychotic prescribing and compare prescribing between academic and nonacademic psychiatrists. RESEARCH DESIGN: We measured number of prescriptions for 10 heavily promoted and 9 newly introduced/reformulated antipsychotics between 2008 and 2011 among 2464 academic psychiatrists at 101 AMCs and 11,201 nonacademic psychiatrists. We measured AMC compliance with 9 AAMC recommendations. Difference-in-difference analyses compared changes in antipsychotic prescribing between 2008 and 2011 among psychiatrists in AMCs compliant with ≥ 7/9 recommendations, those whose institutions had lesser compliance, and nonacademic psychiatrists. RESULTS: Ten centers were AAMC compliant in 2008, 30 attained compliance by 2011, and 61 were never compliant. Share of prescriptions for heavily promoted antipsychotics was stable and comparable between academic and nonacademic psychiatrists (63.0%-65.8% in 2008 and 62.7%-64.4% in 2011). Psychiatrists in AAMC-compliant centers were slightly less likely to prescribe these antipsychotics compared with those in never-compliant centers (relative odds ratio, 0.95; 95% CI, 0.94-0.97; P < 0.0001). Share of prescriptions for new/reformulated antipsychotics grew from 5.3% in 2008 to 11.1% in 2011. Psychiatrists in AAMC-compliant centers actually increased prescribing of new/reformulated antipsychotics relative to those in never-compliant centers (relative odds ratio, 1.39; 95% CI, 1.35-1.44; P < 0.0001), a relative increase of 1.1% in probability. CONCLUSIONS: Psychiatrists exposed to strict conflict of interest policies prescribed heavily promoted antipsychotics at rates similar to academic psychiatrists and nonacademic psychiatrists exposed to less strict or no policies.

Effect of Attending Practice Style on Generic Medication Prescribing by Residents in the Clinic Setting: An Observational Study.

BACKGROUND: Despite increased emphasis on cost-consciousness in graduate medical training, there is little empirical evidence of the role of attending physician supervision on resident practice in this area. OBJECTIVE: To study whether the prescribing practices of attendings influence residents' prescribing of brand-name statin medications in the ambulatory clinic setting. DESIGN AND PARTICIPANTS: A retrospective study of statin prescriptions by residents at two internal medicine residency programs, using electronic medical record data from July 2007 through November 2011. MAIN MEASURES: We estimated multivariable hierarchical logistic regression models to assess the independent effect of the supervising attending's rate of brand-name prescribing in the preceding quarter on the likelihood of a resident prescribing a brand-name statin. KEY RESULTS: The sample included 342 residents and 58 attendings, accounting for 10,151 initial statin prescriptions, including 3,942 by residents. Brand-name statins were prescribed in about one-fourth of encounters. After adjusting for patient-, physician-, and practice-level factors, the supervising attendings' brand-name prescribing rate in the quarter preceding the encounter was positively associated with a postgraduate year (PGY)-1 resident's prescribing a brand-name statin, but not for PGY-2 or PGY-3 residents. For PGY-1 residents, the adjusted probability of a resident prescribing a brand-name statin ranged from 22.6 % (95 % CI 17.3-28.0 %, p < 0.001) for residents supervised by an attending who prescribed < 20 % brand-name statins in the previous quarter to 41.6 % (95 % CI 24.6-58.5 %, p < 0.001) for residents supervised by an attending who prescribed at least 80 % brand-name statins in the previous quarter. A higher PGY level was associated with brand-name prescribing (aOR 2.07, 95 % CI 1.28-3.35, p = 0.003 for PGY-2; aOR 2.15, 95 % CI 1.31-3.55, p = 0.003 for PGY-3, vs. PGY-1). CONCLUSIONS: Supervising attendings' prescribing of brand-name medications may have a significant influence on PGY-1 residents' prescribing of brand-name medications, but not on prescribing by more senior residents.

Patient ratings of case managers in a medical home: associations with patient satisfaction and health care utilization.

BACKGROUND: Case managers are employed in medical homes to coordinate care for clinically complex patients. OBJECTIVE: To measure the association of patient perceptions of case manager performance with overall satisfaction and subsequent health care utilization. DESIGN: Retrospective cohort study. SETTING: Integrated health system in Pennsylvania. PATIENTS: Members of the health system-owned health plan who 1) received primary care in the health system's clinics, 2) were exposed to clinic-embedded case managers, and 3) completed a survey of satisfaction with care. MEASUREMENTS: Survey assessment of case manager performance and overall satisfaction with care and claims-based assessment of case manager performance and subsequent hospitalizations or emergency department visits. Survey measures were dichotomized into very good versus less than very good. RESULTS: A total of 1755 patients (44%) completed the survey and 1415 met study criteria. Survey respondents who reported very good ratings of case manager performance across all items had a higher probability of reporting very good overall satisfaction with care (92.2% vs. 62.5%; P < 0.001) and had a lower incidence of subsequent emergency department visits (incidence rate ratio, 0.79 [95% CI, 0.64 to 0.98]; P = 0.029) but not hospitalizations (incidence rate ratio, 0.92 [CI, 0.75 to 1.11]; P = 0.37) up to 2 years after the survey compared with survey respondents who reported less-than-very good case manager performance on 1 or more questions on the survey. LIMITATIONS: Satisfaction data demonstrated substantial ceiling effects. Survey nonresponse may have introduced bias in the results. CONCLUSION: Patients' favorable perceptions of case managers are associated with higher overall satisfaction with care and may lower risk for future acute care use. PRIMARY FUNDING SOURCE: Robert Wood Johnson Foundation and the U.S. Department of Veterans Affairs.

The effect of care setting in the delivery of high-value colon cancer care.

BACKGROUND: The effect of care setting on value of colon cancer care is unknown. METHODS: A Surveillance, Epidemiology, and End Results (SEER)-Medicare cohort study of 6544 patients aged ≥ 66 years with stage IV colon cancer (based on the American Joint Committee on Cancer staging system) who were diagnosed between 1996 and 2005 was performed. All patients were followed through December 31, 2007. Using outpatient and carrier claims, patients were assigned to a treating hospital based on the hospital affiliation of the primary oncologist. Hospitals were classified academic or nonacademic using the SEER-Medicare National Cancer Institute Hospital File. RESULTS: Of the 6544 patients, 1605 (25%) received care from providers affiliated with academic medical centers. The unadjusted median cancer-specific survival was 16.0 months at academic medical centers versus 13.9 months at nonacademic medical centers (P < .001). After adjustment, treatment at academic hospitals remained significantly associated with a reduced risk of death from cancer (hazard ratio, 0.87; 95% confidence interval [95% CI], 0.82-0.93 [P < .001]). Adjusted mean 12-month Medicare spending was $8571 higher at academic medical centers (95% CI, $2340-$14,802; P = .007). The adjusted median cost was $1559 higher at academic medical centers; this difference was not found to be statistically significant (95% CI, -$5239 to $2122; P = .41). A small percentage of patients who received very expensive care skewed the difference in mean cost; the only statistically significant difference in adjusted costs in quantile regressions was at the 99.9th percentile of costs (P < .001). CONCLUSIONS: Among Medicare beneficiaries with stage IV colon cancer, treatment by a provider affiliated with an academic medical center was associated with a 2 month improvement in overall survival. Except for patients in the 99.9th percentile of the cost distribution, costs at academic medical centers were not found to be significantly different from those at nonacademic medical centers.

Physician social networks and variation in rates of complications after radical prostatectomy.

OBJECTIVES: Variation in care within and across geographic areas remains poorly understood. The goal of this article was to examine whether physician social networks-as defined by shared patients-are associated with rates of complications after radical prostatectomy. METHODS: In five cities, we constructed networks of physicians on the basis of their shared patients in 2004-2005 Surveillance, Epidemiology and End Results-Medicare data. From these networks, we identified subgroups of urologists who most frequently shared patients with one another. Among men with localized prostate cancer who underwent radical prostatectomy, we used multilevel analysis with generalized linear mixed-effect models to examine whether physician network structure-along with specific characteristics of the network subgroups-was associated with rates of 30-day and late urinary complications, and long-term incontinence after accounting for patient-level sociodemographic, clinical factors, and urologist patient volume. RESULTS: Networks included 2677 men in five cities who underwent radical prostatectomy. The unadjusted rate of 30-day surgical complications varied across network subgroups from an 18.8 percentage-point difference in the rate of complications across network subgroups in city 1 to a 26.9 percentage-point difference in city 5. Large differences in unadjusted rates of late urinary complications and long-term incontinence across subgroups were similarly found. Network subgroup characteristics-average urologist centrality and patient racial composition-were significantly associated with rates of surgical complications. CONCLUSIONS: Analysis of physician networks using Surveillance, Epidemiology and End Results-Medicare data provides insight into observed variation in rates of complications for localized prostate cancer. If validated, such approaches may be used to target future quality improvement interventions.

Uptake and costs of hypofractionated vs conventional whole breast irradiation after breast conserving surgery in the United States, 2008-2013.

IMPORTANCE: Based on randomized evidence, expert guidelines in 2011 endorsed shorter, hypofractionated whole breast irradiation (WBI) for selected patients with early-stage breast cancer and permitted hypofractionated WBI for other patients. OBJECTIVES: To examine the uptake and costs of hypofractionated WBI among commercially insured patients in the United States. DESIGN, SETTING, AND PARTICIPANTS: Retrospective, observational cohort study, using administrative claims data from 14 commercial health care plans covering 7.4% of US adult women in 2013, we classified patients with incident early-stage breast cancer treated with lumpectomy and WBI from 2008 and 2013 into 2 cohorts: (1) the hypofractionation-endorsed cohort (n = 8924) included patients aged 50 years or older without prior chemotherapy or axillary lymph node involvement and (2) the hypofractionation-permitted cohort (n = 6719) included patients younger than 50 years or those with prior chemotherapy or axillary lymph node involvement. EXPOSURES: Hypofractionated WBI (3-5 weeks of treatment) vs conventional WBI (5-7 weeks of treatment). MAIN OUTCOMES AND MEASURES: Use of hypofractionated and conventional WBI, total and radiotherapy-related health care expenditures, and patient out-of-pocket expenses. Patient and clinical characteristics included year of treatment, age, comorbid disease, prior chemotherapy, axillary lymph node involvement, intensity-modulated radiotherapy, practice setting, and other contextual variables. RESULTS: Hypofractionated WBI increased from 10.6% (95% CI, 8.8%-12.5%) in 2008 to 34.5% (95% CI, 32.2%-36.8%) in 2013 in the hypofractionation-endorsed cohort and from 8.1% (95% CI, 6.0%-10.2%) in 2008 to 21.2% (95% CI, 18.9%-23.6%) in 2013 in the hypofractionation-permitted cohort. Adjusted mean total health care expenditures in the 1 year after diagnosis were $28,747 for hypofractionated and $31,641 for conventional WBI in the hypofractionation-endorsed cohort (difference, $2894; 95% CI, $1610-$4234; P < .001) and $64,273 for hypofractionated and $72,860 for conventional WBI in the hypofractionation-permitted cohort (difference, $8587; 95% CI, $5316-$12,017; P < .001). Adjusted mean total 1-year patient out-of-pocket expenses were not significantly different between hypofractionated vs conventional WBI in either cohort. CONCLUSIONS AND RELEVANCE: Hypofractionated WBI after breast conserving surgery increased among women with early-stage breast cancer in 14 US commercial health care plans between 2008 and 2013. However, only 34.5% of patients with hypofractionation-endorsed and 21.2% with hypofractionation-permitted early-stage breast cancer received hypofractionated WBI in 2013.

Short report on navigating access to care for Medicaid-enrolled autistic youth and young adults: Examining accrual of intellectual disability diagnoses in adolescence.

LAY ABSTRACT: What is known? In most states, Medicaid waivers provide individuals with an intellectual disability diagnosis generous healthcare coverage throughout adulthood. By comparison, fewer Medicaid programs are available for autistic individuals, and they are more likely to experience disruptions, or gaps, in Medicaid coverage and subsequently not re-enroll.What this paper adds? One in five autistic individuals with Medicaid coverage between ages 8 and 25 accrued a new intellectual disability diagnosis. The probability of a new intellectual disability diagnosis was higher among those who had previous disruptions in Medicaid coverage.Implications for research and policy. Expanding Medicaid to cover autistic people of all ages could decrease the need for intellectual disability diagnosis accrual. Input from autistic individuals and their families regarding their health insurance access and healthcare experiences is critically important to understanding next steps for research.

Effect of practice integration between urologists and radiation oncologists on prostate cancer treatment patterns.

PURPOSE: National attention has focused on whether urology-radiation oncology practice integration, known as integrated prostate cancer centers, contributes to the use of intensity modulated radiation therapy, a common and expensive prostate cancer treatment. MATERIALS AND METHODS: We examined prostate cancer treatment patterns before and after conversion of a urology practice to an integrated prostate cancer center in July 2006. Using the SEER (Statistics, Epidemiology and End Results)-Medicare database, we identified patients 65 years old or older in 1 statewide registry diagnosed with nonmetastatic prostate cancer between 2004 and 2007. We classified patients into 3 groups, including 1--those seen by integrated prostate cancer center physicians (exposure group), 2--those living in the same hospital referral region who were not seen by integrated prostate cancer center physicians (hospital referral region control group) and 3--those living elsewhere in the state (state control group). We compared changes in treatment among the 3 groups, adjusting for patient, clinical and socioeconomic factors. RESULTS: Compared with the 8.1 ppt increase in adjusted intensity modulated radiation therapy use in the state control group, the use of this therapy increased 20.3 ppts (95% CI 13.4, 27.1) in the integrated prostate cancer center group and 19.2 ppts (95% CI 9.6, 28.9) in the hospital referral region control group. Androgen deprivation therapy, for which Medicare reimbursement decreased sharply, similarly decreased in integrated prostate cancer center and hospital referral region controls. Prostatectomy decreased significantly in the integrated prostate cancer center group. CONCLUSIONS: Coincident with the conversion of a urology group practice to an integrated prostate cancer center, we observed an increase in intensity modulated radiation therapy and a decrease in androgen deprivation therapy in patients seen by integrated prostate cancer center physicians and those seen in the surrounding health care market that were not observed in the remainder of the state.