Factors influencing patient pathways for receipt of cancer care at an NCI-designated comprehensive cancer center

The Impact of Socioeconomic Deprivation on Clinical Outcomes for Pancreatic Adenocarcinoma at a High-volume Cancer Center: A Retrospective Cohort Analysis

OBJECTIVE

To assess the impact of a granular measure of SED on pancreatic surgical and cancer-related outcomes at a high-volume cancer center that employs a standardized clinic pathway.

SUMMARY OF BACKGROUND DATA

Prior research has shown that low socioeconomic status leads to less treatment and worse outcomes for PDAC. However, these studies employed inconsistent definitions and categorizations of socioeconomic status, aggregated individual socioeconomic data using large geographic areas, and lacked detailed clinicopathologic variables.

METHODS

We conducted a retrospective cohort study of 1552 PDAC patients between 2008 and 2015. Patients were stratified using the area deprivation index, a validated dataset that ranks census block groups based on SED. Multivariable models were used in the curative surgery cohort to predict the impact of SED on (1) grade 3/4 Clavien-Dindo complications, (2) initiation of adjuvant therapy, (3) completion of adjuvant therapy, and (4) overall survival.

RESULTS

Patients from high SED neighborhoods constituted 29.9% of the cohort. Median overall survival was 28 months. The rate of Clavien-Dindo grade 3/4 complications was 14.2% and completion of adjuvant therapy was 65.6%. There was no evidence that SED impacted surgical evaluation, receipt of curative-intent surgery, postoperative complications, receipt of adjuvant therapy or overall survival.

CONCLUSIONS

Although nearly one-quarter of curative-intent surgery patients were from high SED neighborhoods, this factor was not associated with measures of treatment quality or survival. These observations suggest that treatment at a high-volume cancer center employing a standardized clinical pathway may in part address socioeconomic disparities in pancreatic cancer.

Comparison of Physician Data in Two Data Files Available for Cancer Health Services Research

INTRODUCTION

Physicians are vital to health-care delivery, but assessing their impact on care can be challenging given limited data. Historically, health services researchers have obtained physician characteristics data from the American Medical Association (AMA) Physician Masterfile. The Center for Medicare and Medicaid Services' Medicare Data on Provider Practice and Specialty (MD-PPAS) file was assessed, as an alternative source of physician data, particularly in the context of cancer health services research.

METHODS

We used physician National Provider Identifiers in the MD-PPAS data (2008-2014) to identify physicians in the AMA data current as of July 18, 2016. Within each source, we grouped physicians into six broad specialty groups. Percent agreement and Cohen's kappa coefficient (k) were calculated for age, sex, specialty, and practice state.

RESULTS

Among the 698 202 included physicians, there was excellent agreement for age (percent agreement = 97.7%, k = 0.97) and sex (99.4%, k = 0.99) and good agreement for specialty (86.1%, k = 0.80). Within specialty, using AMA as the reference, agreement was lowest for oncologists (77%). Approximately 85.9% of physicians reported the same practice state in both data sets.

CONCLUSION

Although AMA data have been commonly used to account for physician-level factors in health services research, MD-PPAS data provide researchers with an alternative option depending on study needs. MD-PPAS data may be optimal if nonphysicians, provider utilization, practice characteristics, and/or temporal changes are of interest. In contrast, the AMA data may be optimal if more granular specialty, physician training, and/or a broader inclusion of physicians is of interest.

Racial/ethnic differences in the treatment of adolescent major depressive disorders (MDD) across healthcare providers participating in the medicaid program

BACKGROUND

To examine whether racial/ethnic differences in receipt of MDD treatment could be explained by the specialty of provider diagnosing the adolescent.

METHOD

Adolescents (10-20 years-old) with ≥2 MDD diagnoses were identified using 2005-2007 Medicaid data from Texas. Patients were categorized based on the types of provider who gave the initial MDD diagnosis (psychiatrist (PSY-I), social worker/psychologist (SWP-I), and primary care physician (PCP-I)). Within the sub-cohorts identified by each type of provider, patients were further divided by racial/ethnic groups.

RESULTS

Of the 13,234-new pediatric MDD cases diagnosed, 61% were SWP-I, 33% PSY-I and 6% PCP-I. Results of the analysis using general linear multi-level model showed that being first diagnosed by a psychiatrist was associated with higher chance of receiving MDD related treatment (PCP-I vs. PSY-I (OR: 0.54, 95%CI: 0.4-0.7) and SWP-I vs. PSY-I (OR: 0.17, 95%CI: 0.1-0.2)). Specifically, regarding the receipt of pharmacotherapy, an interaction effect was detected between types of identifying providers and patients' race/ethnicity. The analysis stratified by race/ethnicity found Whites received comparable treatment regardless being PCP-Is or PSY-Is, while for Hispanics, being first identified by a PCP was associated with lower likelihood of receiving treatment as compared to being first identified by a psychiatrist. Further analysis stratified by provider types showed that a significant racial/ethnic variation in medication utilization was observed in PCP-Is, but not in PSY-Is.

CONCLUSION

For adolescents with MDD, being first diagnosed by a psychiatrist was associated with higher treatment rate and reduced racial/ethnic variation in the utilization of pharmacotherapy.

Decreased early mortality associated with the treatment of acute myeloid leukemia at National Cancer Institute-designated cancer centers in California

BACKGROUND

To the authors' knowledge, few population-based studies to date have evaluated the association between location of care, complications with induction therapy, and early mortality in patients with acute myeloid leukemia (AML).

METHODS

Using linked data from the California Cancer Registry and Patient Discharge Dataset (1999-2014), the authors identified adult (aged ≥18 years) patients with AML who received inpatient treatment within 30 days of diagnosis. A propensity score was created for treatment at a National Cancer Institute-designated cancer center (NCI-CC). Inverse probability-weighted, multivariable logistic regression models were used to determine associations between location of care, complications, and early mortality (death ≤60 days from diagnosis).

RESULTS

Of the 7007 patients with AML, 1762 (25%) were treated at an NCI-CC. Patients with AML who were treated at NCI-CCs were more likely to be aged ≤65 years, live in higher socioeconomic status neighborhoods, have fewer comorbidities, and have public health insurance. Patients treated at NCI-CCs had higher rates of renal failure (23% vs 20%; P = .010) and lower rates of respiratory failure (11% vs 14%; P = .003) and cardiac arrest (1% vs 2%; P = .014). After adjustment for baseline characteristics, treatment at an NCI-CC was associated with lower early mortality (odds ratio, 0.46; 95% confidence interval, 0.38-0.57). The impact of complications on early mortality did not differ by location of care except for higher early mortality noted among patients with respiratory failure treated at non-NCI-CCs.

CONCLUSIONS

The initial treatment of adult patients with AML at NCI-CCs is associated with a 53% reduction in the odds of early mortality compared with treatment at non-NCI-CCs. Lower early mortality may result from differences in hospital or provider experience and supportive care. Cancer 2018;124:1938-45. © 2018 American Cancer Society.

Cancer mortality disparities among New York City's Upper Manhattan neighborhoods

The East Harlem (EH), Central Harlem (CH), and Upper East Side (UES) neighborhoods of New York City are geographically contiguous to tertiary medical care, but are characterized by cancer mortality rate disparities. This ecological study aims to disentangle the effects of race and neighborhood on cancer deaths. Mortality-to-incidence ratios were determined using neighborhood-specific data from the New York State Cancer Registry and Vital Records Office (2007-2011). Ecological data on modifiable cancer risk factors from the New York City Community Health Survey (2002-2006) were stratified by sex, age group, race/ethnicity, and neighborhood and modeled against stratified mortality rates to disentangle race/ethnicity and neighborhood using logistic regression. Significant gaps in mortality rates were observed between the UES and both CH and EH across all cancers, favoring UES. Mortality-to-incidence ratios of both CH and EH were similarly elevated in the range of 0.41-0.44 compared with UES (0.26-0.30). After covariate and multivariable adjustment, black race (odds ratio=1.68; 95% confidence interval: 1.46-1.93) and EH residence (odds ratio=1.20; 95% confidence interval: 1.07-1.35) remained significant risk factors in all cancers' combined mortality. Mortality disparities remain among EH, CH, and UES neighborhoods. Both neighborhood and race are significantly associated with cancer mortality, independent of each other. Multivariable adjusted models that include Community Health Survey risk factors show that this mortality gap may be avoidable through community-based public health interventions.

Evidence-Based Cancer Survivorship Activities for Comprehensive Cancer Control

INTRODUCTION

One of six priorities of CDC's National Comprehensive Cancer Control Program (NCCCP) is to address the needs of cancer survivors within the local population served by individually funded states, tribes, and territories. This report examines cancer survivorship activities implemented in five NCCCP grantees, which have initiated evidence-based activities outlined in A National Action Plan for Cancer Survivorship: Advancing Public Health Strategies (NAP).

METHODS

NCCCP action plans, submitted annually to CDC, from 2010 to 2014 were reviewed in February 2015 to assess implementation of cancer survivorship activities and recommended strategies consistent with the NAP. Four state-level and one tribal grantee with specific activities related to one of each of the four NAP strategies were chosen for inclusion. Brief case reports describing the initiation and impact of implemented activities were developed in collaboration with each grantee program director.

RESULTS

New Mexico, South Carolina, Vermont, Washington state, and Fond Du Lac Band of Lake Superior Chippewa programs each implemented activities in surveillance and applied research; communication, education, and training; programs, policies, and infrastructure; and access to quality care and services.

CONCLUSIONS

This report provides examples for incorporating cancer survivorship activities within Comprehensive Cancer Control programs of various sizes, demographic makeup, and resource capacity. New Mexico, South Carolina, Vermont, Washington state, and Fond Du Lac Band developed creative cancer survivorship activities that meet CDC recommendations. NCCCP grantees can follow these examples by implementing evidence-based survivorship interventions that meet the needs of their specific populations.

Impact of access to NCI- and NCCN-designated cancer centers on outcomes for multiple myeloma patients: A SEER registry analysis

BACKGROUND

National Cancer Institute (NCI)/National Comprehensive Cancer Network (NCCN)-designated cancer centers (CCs) offer patients state-of-the-art treatment, but their impact on multiple myeloma (MM) patient outcomes has not been evaluated.

METHODS

Adult MM patients diagnosed between 1973 and 2011 were identified from the Surveillance, Epidemiology, and End Results database and were stratified by the county of residence at the time of diagnosis and the year of CC designation. The influence of NCI/NCCN CC access, race, and the year of diagnosis on overall survival (OS) was evaluated with a Cox regression model.

RESULTS

A statistically significant OS improvement was noted in patients diagnosed after 1995 with access to 2 or more NCI CCs overall (P = .002 for 1996-2002; P < .001 for 2003-2011) and by race for whites (hazard ratio [HR] for 1996-2002, 0.85; 95% confidence interval [CI], 0.78-0.91; HR for 2003-2011, 0.85; 95% CI, 0.79-0.91) but not for nonwhites. For NCCN access, improvement was seen in 1996-2002 (P = .003), in 2003-2011 (P < .001), and by race for whites (HR, 0.917; 95% CI, 0.88-0.95) and nonwhites (0.94; 95% CI, 0.89-0.99), but within nonwhites, this was true only for African Americans (AAs; HR, 0.88; 95% CI, 0.81-0.97) and not for Asians, Hispanics, or Native Americans.

CONCLUSIONS

Improvement in OS was seen in MM patients diagnosed after 1995 with access to 1 NCCN CC or 2 or more NCI CCs. NCI access benefited only whites, whereas NCCN access benefited only white and AA patients. No OS benefit was seen for any subgroup with access to only 1 NCI center. Eliminating racial disparities in health care access and utilization is needed to improve outcomes.