Accelerated partial breast irradiation compared with whole breast radiation therapy: a breast cancer cohort study measuring change in radiation side-effects severity and quality of life.

PURPOSE: Radiotherapy (RT) after breast-conserving surgery for early-stage breast cancer patients has similar survival benefits with whole breast RT (WBRT) or accelerated partial breast irradiation (APBI). However, the impact of RT type and side-effects severity on change in quality of life (QOL) is unknown. We examined changes in RT side-effects severity and QOL by RT type. METHODS: We analyzed data from a cohort of 285 newly diagnosed early-stage breast cancer patients with tumor size ≤3.0 cm and lymph node-negative disease. Patients (93 [32.6%] stage 0; 49 [17.2%] non-white; mean age = 59.3 years) completed four interviews (6 weeks, 6, 12, and 24 months) after definitive surgical treatment. We measured severity of RT side effects, fatigue and skin irritation, using a 5-point scale (1 "not at all" to 5 "all the time") and measured QOL using the Functional Assessment of Cancer Therapy-Breast (FACT-B) and RAND 36-item Health Survey Vitality subscale. Repeated-measures analysis of covariance of each outcome controlled for demographic, clinical/treatment, and psychosocial factors. RESULTS: Patients initiated RT by 6 months (113 received APBI; 172 received WBRT) and completed RT by 12 months. Patients receiving WBRT (vs. APBI) reported greater increase in fatigue and skin irritation severity from 6-week to 6-month interviews (each P < 0.001). Improvement in neither total FACT-B nor Vitality differed significantly by RT type over 2-year follow-up. CONCLUSIONS: Findings suggest that early-stage breast cancer patients can benefit from less-severe, short-term side effects of APBI with no differential impact on QOL change within 2-year follow-up.

Emerging technologies to measure neighborhood conditions in public health: implications for interventions and next steps.

Adverse neighborhood conditions play an important role beyond individual characteristics. There is increasing interest in identifying specific characteristics of the social and built environments adversely affecting health outcomes. Most research has assessed aspects of such exposures via self-reported instruments or census data. Potential threats in the local environment may be subject to short-term changes that can only be measured with more nimble technology. The advent of new technologies may offer new opportunities to obtain geospatial data about neighborhoods that may circumvent the limitations of traditional data sources. This overview describes the utility, validity and reliability of selected emerging technologies to measure neighborhood conditions for public health applications. It also describes next steps for future research and opportunities for interventions. The paper presents an overview of the literature on measurement of the built and social environment in public health (Google Street View, webcams, crowdsourcing, remote sensing, social media, unmanned aerial vehicles, and lifespace) and location-based interventions. Emerging technologies such as Google Street View, social media, drones, webcams, and crowdsourcing may serve as effective and inexpensive tools to measure the ever-changing environment. Georeferenced social media responses may help identify where to target intervention activities, but also to passively evaluate their effectiveness. Future studies should measure exposure across key time points during the life-course as part of the exposome paradigm and integrate various types of data sources to measure environmental contexts. By harnessing these technologies, public health research can not only monitor populations and the environment, but intervene using novel strategies to improve the public health.

Explaining large mortality differences between adjacent counties: a cross-sectional study.

BACKGROUND: Extensive geographic variation in adverse health outcomes exists, but global measures ignore differences between adjacent geographic areas, which often have very different mortality rates. We describe a novel application of advanced spatial analysis to 1) examine the extent of differences in mortality rates between adjacent counties, 2) describe differences in risk factors between adjacent counties, and 3) determine if differences in risk factors account for the differences in mortality rates between adjacent counties. METHODS: We conducted a cross-sectional study in Missouri, USA with 2005-2009 age-adjusted all-cause mortality rate as the outcome and county-level explanatory variables from a 2007 population-based survey. We used a multi-level Gaussian model and a full Bayesian approach to analyze the difference in risk factors relative to the difference in mortality rates between adjacent counties. RESULTS: The average mean difference in the age-adjusted mortality rate between any two adjacent counties was -3.27 (standard deviation = 95.5) per 100,000 population (maximum = 258.80). Six variables were associated with mortality differences: inability to obtain medical care because of cost (ß = 2.6), hospital discharge rate (ß = 1.03), prevalence of fair/poor health (ß = 2.93), and hypertension (ß = 4.75) and poverty prevalence (ß = 6.08). CONCLUSIONS: Examining differences in mortality rates and associated risk factors between adjacent counties provides additional insight for future interventions to reduce geographic disparities.

The effect of education plus access on perceived fruit and vegetable consumption in a rural African American community intervention.

African Americans have an increased risk of cardiovascular disease partly due to low fruit and vegetable consumption. This article reports the results of an intervention to provide nutrition education and access to fruits and vegetables through community gardens to change dietary behaviors among African Americans in rural Missouri. Cross-sectional surveys evaluated the intervention effect on blood pressure, body mass index (BMI), and perceived fruit and vegetable consumption in this quasi-experimental study with a comparison group. Hypertension (OR = 0.52, 95% CI: 0.38-0.71) and BMI (OR = 0.73, 95% CI: 0.52-1.02) were lower in the intervention county at mid-intervention. Participation in nutrition education (OR = 2.67, 95% CI: 1.63-4.40) and access to fruits and vegetables from a community garden (OR = 1.95, 95% CI: 1.20-3.15) were independently associated with perceived fruit and vegetable consumption. The strongest effect on perceived fruit and vegetable consumption occurred with high participation in nutrition education and access to community gardens (OR = 2.18, 95% CI: 1.24-3.81). Those with access but without education had a reduced likelihood of consuming recommended servings of fruits and vegetables (OR = 0.57, 95% CI: 0.34-0.95). Education plus access interventions may be best at increasing consumption of fruits and vegetables in a rural African American population.

Postoperative 30-day mortality in patients undergoing surgery for colorectal cancer: development of a prognostic model using administrative claims data.

PURPOSE: To develop a prognostic model to predict 30-day mortality following colorectal cancer (CRC) surgery using the Surveillance, Epidemiology, and End Results (SEER)-Medicare-linked data and to assess whether race/ethnicity, neighborhood, and hospital characteristics influence model performance. METHODS: We included patients aged 66 years and older from the linked 2000-2005 SEER-Medicare database. Outcome included 30-day mortality, both in-hospital and following discharge. Potential prognostic factors included tumor, treatment, sociodemographic, hospital, and neighborhood characteristics (census-tract-poverty rate). We performed a multilevel logistic regression analysis to account for nesting of CRC patients within hospitals. Model performance was assessed using the area under the receiver operating characteristic curve (AUC) for discrimination and the Hosmer-Lemeshow goodness-of-fit test for calibration. RESULTS: In a model that included all prognostic factors, important predictors of 30-day mortality included age at diagnosis, cancer stage, and mode of presentation. Race/ethnicity, census-tract-poverty rate, and hospital characteristics were independently associated with 30-day mortality, but they did not influence model performance. Our SEER-Medicare model achieved moderate discrimination (AUC = 0.76), despite suboptimal calibration. CONCLUSIONS: We developed a prognostic model that included tumor, treatment, sociodemographic, hospital, and neighborhood predictors. Race/ethnicity, neighborhood, and hospital characteristics did not improve model performance compared with previously developed models.

Hospital and geographic variability in two colorectal cancer surgery outcomes: complications and mortality after complications.

BACKGROUND: The purpose of this study was to describe hospital and geographic variation in 30-day risk of surgical complications and death among colorectal cancer (CRC) patients and the extent to which patient-, hospital-, and census-tract-level characteristics increased risk of these outcomes. METHODS: We included patients at least 66 years old with first primary stage I-III CRC from the 2000-2005 National Cancer Institute's Surveillance, Epidemiology, and End Results data linked with 1999-2005 Medicare claims. A multilevel, cross-classified logistic model was used to account for nesting of patients within hospitals and within residential census tracts. Outcomes were risk of complications and death after a complication within 30 days of surgery. RESULTS: Data were analyzed for 35,946 patients undergoing surgery at 1,222 hospitals and residing in 12,187 census tracts; 27.2 % of patients developed complications, and of these 13.4 % died. Risk-adjusted variability in complications across hospitals and census tracts was similar. Variability in mortality was larger than variability in complications, across hospitals and across census tracts. Specific characteristics increased risk of complications (e.g., census-tract-poverty rate, emergency surgery, and being African-American). No hospital characteristics increased complication risk. Specific characteristics increased risk of death (e.g. census-tract-poverty rate, being diagnosed with colon (versus rectal) cancer, and emergency surgery), while hospitals with at least 500 beds showed reduced death risk. CONCLUSIONS: Large, unexplained variations exist in mortality after surgical complications in CRC across hospitals and geographic areas. The potential exists for quality improvement efforts targeted at the hospital and/or census-tract levels to prevent complications and augment hospitals' ability to reduce mortality risk.

Quality of life over time in women diagnosed with ductal carcinoma in situ, early-stage invasive breast cancer, and age-matched controls.

Little is known about quality-of-life (QOL) differences over time between incident ductal carcinoma in situ (DCIS) and early-stage invasive breast cancer (EIBC) cases as compared with same-aged women without breast cancer (controls). We prospectively recruited and interviewed 1,096 women [16.8% DCIS, 33.3% EIBC (25.7% Stage I; and 7.6% Stage IIA), 49.9% controls; mean age 58; 23.7% non-white] at mean 6.7 weeks (T1), and 6.2 (T2), 12.3 (T3), and 24.4 months (T4) after surgery (patients) or screening mammogram (controls). We tested two hypotheses: (1) DCIS patients would report lower levels of QOL compared with controls but would report similar QOL compared with EIBC patients at baseline; and (2) DCIS patients' QOL would improve during 2-year follow-up and approach levels similar to that of controls faster than EIBC patients. We tested hypothesis 1 using separate general linear regression models for each of the eight subscales on the RAND 36-item Health Survey, controlling for variables associated with at least one subscale at T1. Both DCIS and EIBC patients reported lower QOL at T1 than controls on all subscales (each P<0.05). We tested hypothesis 2 using generalized estimating equations to examine change in each QOL subscale over time across the three diagnostic groups adjusting for covariates. By T3, physical functioning, role limitations due to physical problems, energy/fatigue, and general health each differed significantly by diagnostic group at P<0.05, because of larger differences between EIBC patients and controls; but DCIS patients no longer differed significantly from controls on any of the QOL subscales. At T4, EIBC patients still reported worse physical functioning (P=0.0001) and general health (P=0.0017) than controls, possibly because of lingering treatment effects. DCIS patients' QOL was similar to that of controls two years after diagnosis, but some aspects of EIBC patients' QOL remained lower.

Differences in effectiveness and use of laparoscopic surgery in locally advanced colon cancer patients.

Patients with locally advanced colon cancer have worse outcomes. Guidelines of various organizations are conflicting about the use of laparoscopic colectomy (LC) in locally advanced colon cancer. We determined whether patient outcomes of LC and open colectomy (OC) for locally advanced (T4) colon cancer are comparable in all colon cancer patients, T4a versus T4b patients, obese versus non-obese patients, and tumors located in the ascending, descending, and transverse colon. We used data from the 2013-2015 American College of Surgeons' National Surgical Quality Improvement Program. Patients were diagnosed with nonmetastatic pT4 colon cancer, with or without obstruction, and underwent LC (n = 563) or OC (n = 807). We used a composite outcome score (mortality, readmission, re-operation, wound infection, bleeding transfusion, and prolonged postoperative ileus); length of stay; and length of operation. Patients undergoing LC exhibited a composite outcome score that was 9.5% lower (95% CI - 15.4; - 3.5) versus those undergoing OC. LC patients experienced a 11.3% reduction in postoperative ileus (95% CI - 16.0; - 6.5) and an average of 2 days shorter length of stay (95% CI - 2.9; - 1.0). Patients undergoing LC were in the operating room an average of 13.5 min longer (95% CI 1.5; 25.6). We found no evidence for treatment heterogeneity across subgroups (p > 0.05). Patients with locally advanced colon cancer who receive LC had better overall outcomes and shorter lengths of stay compared with OC patients. LC was equally effective in obese/nonobese patients, in T4a/T4b patients, and regardless of the location of the tumor.

Influence of built environment on quality of life changes in African-American patients with non-metastatic breast cancer.

Research links the built environment to health outcomes, but little is known about how this affects quality of life (QOL) of African American breast cancer patients, especially those residing in disadvantaged neighborhoods. Using latent trajectory models, we examined whether the built environment using Google Street View was associated with changes in QOL over a 2-year follow-up in 228 newly diagnosed African American breast cancer patients. We measured QOL using the RAND 36-Item Health Survey subscales. After adjusting for covariates, improvement in emotional well-being and pain over time was greater for women living on streets with low-quality (vs. high-quality) sidewalks.

Reliability of health-related quality-of-life indicators in cancer survivors from a population-based sample, 2005, BRFSS.

OBJECTIVE: The current emphasis in cancer survivorship research, which includes health-related quality of life (HRQoL), drives the need to monitor the nation's cancer burden. Routine, ongoing public health surveillance tools, such as the Behavioral Risk Factor Surveillance System (BRFSS), may be relevant for this purpose. STUDY DESIGN: A subsample of the 2005 Missouri BRFSS was used to estimate test-retest reliability of HRQoL questions among persons who did and did not report a personal cancer history. METHODS: Retest interviews were conducted by telephone 14-21 days after the initial data collection (n=540, 67% response rate). Reliability was estimated overall and by cancer history using intraclass correlation coefficients (ICCs) and kappa statistics. RESULTS: The majority of retest respondents were White, female and married, with 13% reporting a history of cancer. Overall, point estimates of the reliability coefficients ranged from moderate to excellent (kappa=0.57-0.75). There were no statistically significant differences in test-retest reliability between persons with and without a history of cancer, except for self-reported pain (ICC=0.59 and ICC=0.78, respectively). CONCLUSIONS: In general, BRFSS questions appear to have adequate reliability for monitoring HRQoL in this community-dwelling population, regardless of cancer history.

Differences in Effectiveness and Use of Robotic Surgery in Patients Undergoing Minimally Invasive Colectomy.

BACKGROUND: We compared patient outcomes of robot-assisted surgery (RAS) and laparoscopic colectomy without robotic assistance for colon cancer or nonmalignant polyps, comparing all patients, obese versus nonobese patients, and male versus female patients. METHODS: We used the 2013-2015 American College of Surgeons National Surgical Quality Improvement Program data to examine a composite outcome score comprised of mortality, readmission, reoperation, wound infection, bleeding transfusion, and prolonged postoperative ileus. We used propensity scores to assess potential heterogeneous treatment effects of RAS by patient obesity and sex. RESULTS: In all, 17.1% of the 10,844 of patients received RAS. Males were slightly more likely to receive RAS. Obese patients were equally likely to receive RAS as nonobese patients. In comparison to nonRAS, RAS was associated with a 3.1% higher adverse composite outcome score. Mortality, reoperations, wound infections, sepsis, pulmonary embolisms, deep vein thrombosis, myocardial infarction, blood transfusions, and average length of hospitalization were similar in both groups. Conversion to open surgery was 10.1% lower in RAS versus nonRAS patients, but RAS patients were in the operating room an average of 52.4 min longer. We found no statistically significant differences (p > 0.05) by obesity status and gender. CONCLUSIONS: Worse patient outcomes and no differential improvement by sex or obesity suggest more cautious adoption of RAS.

The utility of Google Trends data to examine interest in cancer screening.

OBJECTIVES: We examined the utility of January 2004 to April 2014 Google Trends data from information searches for cancer screenings and preparations as a complement to population screening data, which are traditionally estimated through costly population-level surveys. SETTING: State-level data across the USA. PARTICIPANTS: Persons who searched for terms related to cancer screening using Google, and persons who participated in the Behavioral Risk Factor Surveillance System (BRFSS). PRIMARY AND SECONDARY OUTCOME MEASURES: (1) State-level Google Trends data, providing relative search volume (RSV) data scaled to the highest search proportion per week (RSV100) for search terms over time since 2004 and across different geographical locations. (2) RSV of new screening tests, free/low-cost screening for breast and colorectal cancer, and new preparations for colonoscopy (Prepopik). (3) State-level breast, cervical, colorectal and prostate cancer screening rates. RESULTS: Correlations between Google Trends and BRFSS data ranged from 0.55 for ever having had a colonoscopy to 0.14 for having a Pap smear within the past 3 years. Free/low-cost mammography and colonoscopy showed higher RSV during their respective cancer awareness months. RSV for Miralax remained stable, while interest in Prepopik increased over time. RSV for lung cancer screening, virtual colonoscopy and three-dimensional mammography was low. CONCLUSIONS: Google Trends data provides enormous scientific possibilities, but are not a suitable substitute for, but may complement, traditional data collection and analysis about cancer screening and related interests.

Improving survival of vulnerable infants increases neonatal intensive care unit nosocomial infection rate.

OBJECTIVE: To determine the factors associated with an increasing rate of nosocomial infections in infants with very low birth weights. METHODS: Retrospective review of clinical and nosocomial infection databases for all infants with birth weights of 1500 g or less admitted to an academic neonatal intensive care unit between January 1, 1991, and December 31, 1997 (N = 1184). Two study periods were compared: 1991-1995 and 1996-1997. RESULTS: Among the 1085 infants who survived beyond 48 hours, the proportion who developed nosocomial infections increased from 22% to 31% (P =.001) and the infection rate increased from 0.5 to 0.8 per 100 patient-days (P<.001) during the period from 1996 to 1997. In that same period, the median duration of indwelling vascular access increased from 10 to 16 days (P<.001), and the median duration of mechanical ventilation increased from 7 to 12 days (P<.001). Although the device-specific rate of bloodstream or respiratory infections did not change, the increase in infections was directly attributable to the increasing proportion of infants who required these devices. In both study periods, the peak incidence of initial infection occurred between 10 and 20 days of age. For the entire sample, proportional hazard models identified birth weight, duration of vascular access, and postnatal corticosteroid exposure as significant contributors to the risk of infection. CONCLUSIONS: The increasing number of technology-dependent infants was the primary determinant in the increase of nosocomial infections. Because these infections occur in a small proportion of infants, understanding the host factors that contribute to this vulnerability is necessary to decrease nosocomial infections in neonatal intensive care units.

Study designs and potential biases in sports injury research. The case-control study.

Several different epidemiological study designs can be used for aetiological investigations of potential risk factors for the occurrence of sports injuries. The case-control study is an example of a retrospective design in which the investigator starts with the classification of injury status (case or control) and obtains information regarding prior exposure to risk factors. Several decisions need to be made when designing case-control studies. Firstly, the source of the study participants needs to be considered. Cases and controls need to be identified from the same source, i.e. same sport or clinic. Secondly, the same eligibility criteria need to be applied to potential cases and controls. Thirdly, when an injury occurred must be established. The fourth issue concerns the status of cases (incident or prevalent cases). Finally, the number and size of the control groups needs to be determined. Strengths of the case-control study design are the high level of information obtained, the relatively low cost and its usefulness for studying rare sports injuries. The higher susceptibility to bias is one of the limitations of case-control studies. Bias in a case-control study can lead to over or underestimation of the true association between an alleged risk factor and the occurrence of sports injuries. Three types of bias have been distinguished: (i) selection bias; (ii) information bias; and (iii) confounding. Furthermore, the applicability of this type of design is limited to risk factors that remain relatively stable after the occurrence of an injury. The effect of changeable risk factors, such as quadriceps strength and range of motion, is difficult to assess since in many cases data at the time of injury are unavailable.

A case-control study of risk factors for industrial low back injury. The utility of preplacement screening in defining high-risk groups.

Using a cohort of 8183 postal workers, this study assesses the efficacy of preplacement medical examinations in defining the risk of occupational low back injuries. From this cohort, 154 subjects with occupational low back injuries between 1983 and 1988 and 942 control subjects who did not have low back injuries were identified. A multivariate logistic regression shows that a history of prior disability, odds ratio 2.90 (95% confidence interval 1.88-4.48), and a heavy lifting job, odds ratio 1.91 (1.32-276) are associated with occupational low back injuries. However, a history of previous back injury on screening examination is not associated with subsequent occupational injury. The association between a history of disability and occupational low back injury has not been previously noted and warrants further research.

A multivariate risk analysis of selected playing surfaces in the National Football League: 1980 to 1989. An epidemiologic study of knee injuries.

This study focuses on the injury rates for natural grass and AstroTurf surfaces and the risk factors of game position and type of play. We examined the game-related knee sprains, medial collateral ligament sprains, and anterior cruciate ligament sprains that occurred in the National Football League during the 1980 to 1989 seasons. The findings are controlled for categories of severity (number of games missed due to injury), position, and situation (rushing or passing) at the time of injury. The analysis of the data incorporates epidemiologic techniques associated with incidence density ratios. The data show that there is a statistically significant difference between the higher AstroTurf injury rates for knee sprains. When knee sprains are separated into medial collateral ligament sprains and anterior cruciate ligament sprains, only the anterior cruciate ligament sprains show a statistically significant higher injury rate for AstroTurf. When simultaneous control variables are considered, significantly more knee sprains occurred to backs on rushing plays and linemen on passing plays. When controlling the data for severity, only the Category II injuries (three or more games missed) sustained by linemen on passing plays had statistically significant higher injury rates for the AstroTurf. For medial collateral ligament sprains, only the Category II injuries for linemen on passing plays remain statistically significant. The data for the ACL sprains show statistically significant differences between the injury rate on natural grass and the injury rate on Astro Turf under conditions of special teams play.

Utilization of cancer early detection services among farm and rural nonfarm adults in Iowa.

An increase in the proportion of advanced malignancies among rural residents has been noted and may be due to a combination of factors, including availability of screening services, demographic characteristics, and access to health care facilities. A cross-sectional study was conducted in 33 nonmetropolitan Iowa counties among randomly selected middle-aged farm and rural nonfarm adults to compare utilization of cancer early detection services. A total of 1,126 adults in 600 farm households and 1,092 adults in 589 rural nonfarm households provided information through a 155-item in-home interview. Differences in income, age, and health insurance coverage (including preventive services) between the farm and nonfarm study populations were found. Although farm men were less likely to have had a checkup during the past year than men in the nonfarm population, no difference was found for women. Overall, differences in screening behaviors were small. Larger differences between both populations were observed for use of mammograms, prostate examinations among men age 50 and older, use of sigmoidoscopy among women age 50 and older, and skin cancer examinations among both sexes. When controlling for demographic characteristics and insurance coverage, members of the farm and rural nonfarm population were equally likely to use multiple screenings according to ACS guidelines. Because of the increased risk of breast cancer, interventions aimed at increasing utilization of mammography among women age 50 and older should be implemented. Although the farm population was more likely to use skin examinations, prevalence should be increased substantially to counteract the continuing rise in skin cancer.

Epidemiology and neuropsychiatric manifestations of Young Onset Parkinson's Disease in the United States.

BACKGROUND: To determine the demographic distribution of Young Onset Parkinson's Disease (YOPD) in the United States and to quantify the burden of neuropsychiatric disease manifestations. METHODS: Cross sectional study of 3,459,986 disabled Americans, aged 30-54, who were receiving Medicare benefits in the year 2005. We calculated race and sex distributions of YOPD and used logistic regression to compare the likelihood of common and uncommon psychiatric disorders between beneficiaries with YOPD and the general disability beneficiary population, adjusting for race, age, and sex. RESULTS: We identified 14,354 Medicare beneficiaries with YOPD (prevalence = 414.9 per 100,000 disabled Americans). White men comprised the majority of cases (48.9%), followed by White women (34.7%), Black men (6.8%), Black women (5.0%), Hispanic men (2.4%), and Hispanic women (1.2%). Asian men (0.6%) and Asian women (0.4%) were the least common race-sex pairs with a YOPD diagnosis in this population (chi square, p < 0.001). Compared to the general population of medically disabled Americans, those with YOPD were more likely to receive medical care for depression (OR: 1.89, 1.83-1.95), dementia (OR: 7.73, 7.38-8.09), substance abuse/dependence (OR: 3.00, 2.99-3.01), and were more likely to be hospitalized for psychosis (OR: 3.36, 3.19-3.53), personality/impulse control disorders (OR: 4.56, 3.28-6.34), and psychosocial dysfunction (OR: 3.85, 2.89-5.14). CONCLUSIONS: Young Onset Parkinson's Disease is most common among white males in our study population. Psychiatric illness, addiction, and cognitive impairment are more common in YOPD than in the general population of disabled Medicare beneficiaries. These may be key disabling factors in YOPD.

Neurologist care in Parkinson disease: a utilization, outcomes, and survival study.

OBJECTIVE: To investigate the utilization of neurologist providers in the treatment of patients with Parkinson disease (PD) in the United States and determine whether neurologist treatment is associated with improved clinical outcomes. METHODS: This was a retrospective observational cohort study of Medicare beneficiaries with PD in the year 2002. Multilevel logistic regression was used to determine which patient characteristics predicted neurologist care between 2002 and 2005 and compare the age, race, sex, and comorbidity-adjusted annual risk of skilled nursing facility placement and hip fracture between neurologist- and primary care physician-treated patients with PD. Cox proportional hazards models were used to determine the adjusted 6-year risk of death using incident PD cases, stratified by physician specialty. RESULTS: More than 138,000 incident PD cases were identified. Only 58% of patients with PD received neurologist care between 2002 and 2005. Race and sex were significant demographic predictors of neurologist treatment: women (odds ratio [OR] 0.78, 95% confidence interval [CI] 0.76-0.80) and nonwhites (OR 0.83, 95% CI 0.79-0.87) were less likely to be treated by a neurologist. Neurologist-treated patients were less likely to be placed in a skilled nursing facility (OR 0.79, 95% CI 0.77-0.82) and had a lower risk of hip fracture (OR 0.86, 95% CI 0.80-0.92) in logistic regression models that included demographic, clinical, and socioeconomic covariates. Neurologist-treated patients also had a lower adjusted likelihood of death (hazard ratio 0.78, 95% CI 0.77-0.79). CONCLUSIONS: Women and minorities with PD obtain specialist care less often than white men. Neurologist care of patients with PD may be associated with improved selected clinical outcomes and greater survival.

Rural-urban differences in radiation therapy for ductal carcinoma in-situ of the breast.

PURPOSE: Rural women in the United States are at a documented disadvantage with regard to breast cancer detection, diagnosis, and treatment and generally do not receive state-of-the-art therapy. The objective of the study was to determine if, and to what extent, rural women were less likely to receive radiation therapy (XRT) following breast conserving surgery (BCS) for ductal carcinoma in-situ (DCIS). METHODS: Our analyses were based on 1991-1996 data provided by the Surveillance, Epidemiology, and End Results (SEER) Program. Only women who were diagnosed with their first primary, microscopically confirmed DCIS breast cancer were included. BCS and XRT were defined according to SEER definitions. Multiple logistic regression was used in the analysis. RESULTS: During this time period, 6,988 women were treated with BCS for DCIS, 50.1% of whom received XRT. In multivariate analysis, rural women in general (OR = 0.58) and younger women (<65) in particular (OR = 0.38) were less likely to receive XRT. Local availability of XRT was not associated with receipt among younger women, while older women without this availability were less likely to receive XRT (OR = 0.48). CONCLUSIONS: Barriers to XRT following BCS for DCIS may be different between younger and older rural women relative to their urban counterparts.