Geographic and facility variation in inpatient stroke rehabilitation: multilevel analysis of functional status.

OBJECTIVE: To examine geographic and facility variation in cognitive and motor functional outcomes after postacute inpatient rehabilitation in patients with stroke. DESIGN: Retrospective cohort design using Centers for Medicare and Medicaid Services (CMS) claims files. Records from 1209 rehabilitation facilities in 298 hospital referral regions (HRRs) were examined. Patient records were analyzed using linear mixed models. Multilevel models were used to calculate the variation in outcomes attributable to facilities and geographic regions. SETTING: Inpatient rehabilitation units and facilities. PARTICIPANTS: Patients (N=145,460) with stroke discharged from inpatient rehabilitation from 2006 through 2009. INTERVENTION: Not applicable. MAIN OUTCOME MEASURES: Cognitive and motor functional status at discharge measured by items in the CMS Inpatient Rehabilitation Facility-Patient Assessment Instrument. RESULTS: Variation profiles indicated that 19.1% of rehabilitation facilities were significantly below the mean functional status rating (mean ± SD, 81.58±22.30), with 221 facilities (18.3%) above the mean. Total discharge functional status ratings varied by 3.57 points across regions. Across facilities, functional status values varied by 29.2 points, with a 9.1-point difference between the top and bottom deciles. Variation in discharge motor function attributable to HRR was reduced by 82% after controlling for cluster effects at the facility level. CONCLUSIONS: Our findings suggest that variation in motor and cognitive function at discharge after postacute rehabilitation in patients with stroke is accounted for more by facility than geographic location.

Growth in the care of older patients by hospitalists in the United States.

BACKGROUND: National and population-based information on the increase in patient care by hospitalists in the United States is lacking. METHODS: Using a 5% sample of Medicare beneficiaries in 1995, 1997, 1999, and the period from 2001 through 2006, we identified 120,226 physicians in general internal medicine who were providing care to older patients in 5800 U.S. hospitals. We defined hospitalists as general internists who derived 90% or more of their Medicare claims for evaluation-and-management services from the care of hospitalized patients. We then calculated the percentage of all inpatient Medicare services provided by hospitalists and identified patient and hospital characteristics associated with the receipt of hospitalist services. RESULTS: The percentage of physicians in general internal medicine who were identified as hospitalists increased from 5.9% in 1995 to 19.0% in 2006, and the percentage of all claims for inpatient evaluation-and-management services by general internists that were attributed to hospitalists increased from 9.1% to 37.1% during this same period. Accompanying the increase in care by hospitalists was an increase in the percentage of all hospitalized Medicare patients who were treated by general internists (both hospitalists and traditional, non-hospital-based general internists), from 46.4% in 1995 to 61.0% in 2006. In a multilevel, multivariable analysis controlling for patient and hospital characteristics, the odds of receiving care from a hospitalist increased by 29.2% per year from 1997 through 2006. In 2006, there was marked geographic variation in the rates of care provided by hospitalists, with rates of more than 70% in some hospital-referral regions. CONCLUSIONS: These analyses of data from Medicare claims showed a substantial increase in the care of hospitalized patients by hospitalist physicians from 1995 to 2006.

Ethnic differences in in-hospital place of death among older adults in California: effects of individual and contextual characteristics and medical resource supply.

BACKGROUND: : Substantial ethnic differences have been reported in the probability that death will occur in a hospital setting rather than at home, in a hospice, or in a nursing home. To date, no study has investigated the role of both individual characteristics and contextual characteristics, including local health care environments, to explain ethnic differentials in end-of-life care. OBJECTIVES: : The study purpose is to examine ethnic differences in the association between death as a hospital in-patient and individual and contextual characteristics, as well as medical resource supply. RESEARCH DESIGN: : This study employed a secondary data analysis. SUBJECTS: : We used data from the California Death Statistical Master file for the years 1999-2001, which included 472,382 complete cases. These data were geocoded and linked to data from the US Census Bureau and the American Hospital Association. RESULTS: : Death as an in-patient was most common for Asian (54%) and Hispanic immigrants (49%) and least common for non-Hispanic whites (36%) and US-born Asians (41%). Medical resource supply variables are of considerable importance in accounting for ethnic differentials in the probability of dying in a hospital. Residual differences in in-hospital site of death were largest for immigrant populations. CONCLUSIONS: : There are sizeable ethnic differentials in the probability that a death will occur in a hospital in California. These differences are substantially mediated by sociodemographic characteristics of the decedent and local medical care supply. One implication of these findings is that variation exists in the efficiency and quality of end of life care delivered to ethnic minorities.

Continuity of outpatient and inpatient care by primary care physicians for hospitalized older adults.

CONTEXT: Little is known about the extent of continuity of care across the transition from outpatient care to hospitalization. OBJECTIVES: To describe continuity of care in older hospitalized patients, change in continuity over time, and factors associated with discontinuity. DESIGN, SETTING, AND PARTICIPANTS: A retrospective cohort study of 3,020,770 hospital admissions between 1996 and 2006 using enrollment and claims data for a 5% national sample of Medicare beneficiaries older than 66 years. Data files were constructed to include the patients' demographic and enrollment information (denominator file) and claims for hospital stays (MEDPAR file) and physician services (carrier claims file). Characteristics of the hospitals were included in annual provider of services files. Being seen by a physician was defined as when a physician had submitted a bill for evaluation and management services for that patient. MAIN OUTCOME MEASURES: Percentage of patients who during hospitalization were seen by any outpatient physician they had visited in the year before hospitalization (continuity with any outpatient physician) or by their primary care physician (PCP) (continuity with a PCP). RESULTS: In 1996, 50.5% (95% confidence interval [CI], 50.3%-50.7%) of hospitalized patients were seen by at least 1 physician that they had visited in an outpatient setting in the prior year, and 44.3% (95% CI, 44.1%-44.6%) of patients with an identifiable PCP were seen by that physician while hospitalized. These percentages decreased to 39.8% (95% CI, 39.6%-40.0%) and 31.9% (95% CI, 31.6%-32.1%), respectively, in 2006. Greater absolute decreases in continuity with any outpatient physician between 1996 and 2006 occurred in patients admitted on weekends (13.9%; 95% CI, 12.9%-14.7%) and those living in large metropolitan areas (11.7%; 95% CI, 11.1%-12.3%) and in New England (16.2%; 95% CI, 14.4%-18.0%). In multivariable multilevel models, increasing involvement of hospitalists was associated with approximately one-third of the decrease in continuity of care between 1996 and 2006. CONCLUSION: Between 1996 and 2006, physician continuity from outpatient to inpatient settings decreased in the Medicare population.

Risk of fracture after androgen deprivation for prostate cancer.

BACKGROUND: The use of androgen-deprivation therapy for prostate cancer has increased substantially over the past 15 years. This treatment is associated with a loss of bone-mineral density, but the risk of fracture after androgen-deprivation therapy has not been well studied. METHODS: We studied the records of 50,613 men who were listed in the linked database of the Surveillance, Epidemiology, and End Results program and Medicare as having received a diagnosis of prostate cancer in the period from 1992 through 1997. The primary outcomes were the occurrence of any fracture and the occurrence of a fracture resulting in hospitalization. Cox proportional-hazards analyses were adjusted for characteristics of the patients and the cancer, other cancer treatment received, and the occurrence of a fracture or the diagnosis of osteoporosis during the 12 months preceding the diagnosis of cancer. RESULTS: Of men surviving at least five years after diagnosis, 19.4 percent of those who received androgen-deprivation therapy had a fracture, as compared with 12.6 percent of those not receiving androgen-deprivation therapy (P<0.001). In the Cox proportional-hazards analyses, adjusted for characteristics of the patient and the tumor, there was a statistically significant relation between the number of doses of gonadotropin-releasing hormone received during the 12 months after diagnosis and the subsequent risk of fracture. CONCLUSIONS: Androgen-deprivation therapy for prostate cancer increases the risk of fracture.

Survival advantage in Medicare patients receiving drug-eluting stents compared with bare metal stents: real or artefactual?

BACKGROUND: Concerns have been raised regarding late mortality, particularly from late stent thrombosis, from drug-eluting stents (DES). Randomized clinical trials have shown that DES decrease restenosis but do not decrease mortality compared with bare metal stents (BMS). These studies utilized well-defined clinical and angiographic subsets. In the "real world" drug-eluting stents are used in a much broader crosssection of patients. We evaluated mortality in the first year after implantation of DES, specifically the sirolimus-eluting stent (SES), Cypher vs. BMS in "real world" older patients using the Medicare claims database. METHODS AND RESULTS: Data for the years 2002 (n = 6,890; pre-DES) and 2003 (n = 7,566; first year of DES use) (May through December of each year) were analyzed. BMS and DES groups had similar baseline characteristics except for small but significant differences with BMS patients being somewhat older, having more males and African Americans, and a higher percentage of peripheral artery disease and heart failure while DES patients had a higher percentage of diabetics and patients with prior revascularization procedures. A significant improvement in mortality using both unadjusted and adjusted analyses was observed for DES (6.0% vs. 11.4%, P < 0.0001; hazard ratio 1.98, 95% CI 1.68-2.34). Controlling for comorbidity, extent of disease, and other characteristics by multivariable analysis or by propensity analysis had little impact on these results. On the other hand, there was no change in overall mortality in all stented patients in 2003 compared with all stented patients in 2002. CONCLUSION: An observed mortality benefit for DES compared with BMS in 2003 was observed, demonstrating the safety of DES, and suggesting the possibility of superiority in outcome in older patients with DES vs. BMS. However, the lack of improved survival from 2002 to 2003 in all stented patients suggests that the mortality advantage with DES finding may be due to unidentified selection biases. Our data suggest that DES in the Medicare population is as safe as, and possibly superior, to BMS for survival over the first year after implantation.

Reducing the effects of lead-time bias, length bias and over-detection in evaluating screening mammography: a censored bivariate data approach.

Measuring the benefit of screening mammography is difficult due to lead-time bias, length bias and over-detection. We evaluated the benefit of screening mammography in reducing breast cancer mortality using observational data from the SEER-Medicare linked database. The conceptual model divided the disease duration into two phases: preclinical (T(0)) and symptomatic (T(1)) breast cancer. Censored information for the bivariate response vector ( T(0), T(1)) was observed and used to generate a likelihood function. However, the contribution to the likelihood function for some observations could not be calculated analytically, thus, censoring boundaries for these observations were modified. Inferences about the impact of screening mammography on breast cancer mortality were made based on maximum likelihood estimates derived from this likelihood function. Hazard ratios (95% confidence intervals) of 0.54 (0.48-0.61) and 0.33 (0.26- 0.42) for single and regular users (vs. non-users), respectively, demonstrated a protective effect of screening mammography among women 69 years and older. This method reduced the impact of lead-time bias, length bias and over-detection, which biased the estimated hazard ratios derived from standard survival models in favour of screening.

The influence of marital status on stage at diagnosis and survival of older persons with melanoma.

BACKGROUND: Melanoma incidence and mortality had a sustained increase in the last 3 decades in the United States, especially among white older men. Little is known about the relationship between marital status and melanoma outcomes in older people. The objective of this study was to determine the association between marital status and stage at diagnosis and survival of older persons with cutaneous melanoma. METHODS: Data are from the Surveillance, Epidemiology and End Results (SEER) registries-Medicare-linked database (1991-1999). The sample consisted of 14,630 men and women 65 years old and older. The outcomes were melanoma stage at diagnosis and melanoma specific survival. The main independent variable, marital status, was used in four categories: married, single, separated or divorced, and widowed. Other covariates include sociodemographics, stage at diagnosis, tumor characteristics (body site and histology), and comorbidity index. Logistic regression and survival analyses techniques were used. RESULTS: Multivariate analyses showed that, compared with married persons, widowed persons were more likely to be diagnosed with late-stage (regional or distant) versus early-stage (in situ or localized) melanoma (odds ratio = 1.31, 95% confidence interval [CI], 1.13-1.52). In addition, after controlling for all other variables (sociodemographics, stage at diagnosis, tumor characteristics, and comorbidity), widowed persons were at increased risk of death from melanoma (hazard ratio = 1.23, 95% CI, 1.06-1.44). CONCLUSION: Older widowed persons were more likely to be diagnosed at late stage and to die from melanoma than were older married persons.

Incidence of additional primary cancers in patients with invasive intraductal papillary mucinous neoplasms and sporadic pancreatic adenocarcinomas.

BACKGROUND: Recent small studies have reported an incidence of 23% to 39% for additional primary cancers in patients with intraductal papillary mucinous neoplasms (IPMN) of the pancreas. There have been no population-based studies evaluating this incidence rate. METHODS: Using the Surveillance, Epidemiology, and End Results (SEER) database (1983 to 1991), we identified all patients with primary pancreatic cancers (sporadic and adenocarcinomas arising in IPMNs). We determined the incidence of additional primary cancers that developed either before or after the diagnosis of invasive IPMN and compared it to the incidence of additional primary cancers in patients with sporadic pancreatic adenocarcinoma. RESULTS: Nineteen thousand six hundred forty-seven patients were reported with pancreatic cancer. Ninety-five percent of cancers were sporadic and 5.0% were invasive IPMNs. Ten point three percent had one or more extra-pancreatic primary cancers in addition to their pancreatic primary (10.3% in patients with sporadic adenocarcinoma and 10.1% in patients with invasive IPMNs, p = NS). The most common sites of additional primary cancers were colorectal (20.1%), breast (19.9%), prostate (16.6%), urinary system (11.1%), and lung (9.8%). In the 2,017 patients with additional primary cancer, 86% occurred before the diagnosis of pancreatic cancer and 14% occurred after the diagnosis of pancreatic cancer. CONCLUSIONS: Our population-based analysis shows that the incidence of additional primary malignancies in patients with invasive IPMNs is 10%. Although not as high as previously reported in smaller studies, the incidence is significant and comparable to the incidence seen in patients with adenocarcinoma. Surveillance for other common malignancies in patients with IPMNs and pancreatic adenocarcinomas should be performed.

Trends and disparities in regionalization of pancreatic resection.

BACKGROUND: The current recommendation is that pancreatic resections be performed at hospitals doing >10 pancreatic resections annually. OBJECTIVE: To evaluate the extent of regionalization of pancreatic resection and the factors predicting resection at high-volume centers (>10 cases/year) in Texas. METHODS: Using the Texas Hospital Inpatient Discharge Public Use Data File, we evaluated trends in the percentage of patients undergoing pancreatic resection at high-volume centers (>10 cases/year) from 1999 to 2004 and determined the factors that independently predicted resection at high-volume centers. RESULTS: A total of 3,189 pancreatic resections were performed in the state of Texas. The unadjusted in-hospital mortality was higher at low-volume centers (7.4%) compared to high-volume centers (3.0%). Patients resected at high-volume centers increased from 54.5% in 1999 to 63.3% in 2004 (P = 0.0004). This was the result of a decrease in resections performed at centers doing less than five resections/year (35.5% to 26.0%). In a multivariate analysis, patients who were >75 (OR = 0.51), female (OR = 0.86), Hispanic (OR = 0.58), having emergent surgery (OR = 0.39), diagnosed with periampullary cancer (OR = 0.68), and living >75 mi from a high-volume center (OR = 0.93 per 10-mi increase in distance, P < 0.05 for all OR) were less likely to be resected at high-volume centers. The odds of being resected at a high-volume center increased 6% per year. CONCLUSIONS: Whereas regionalization of pancreatic resection at high-volume centers in the state of Texas has improved slightly over time, 37% of patients continue to undergo pancreatic resection at low-volume centers, with more than 25% occurring at centers doing less than five per year. There are obvious demographic disparities in the regionalization of care, but additional unmeasured barriers need to be identified.

Risk of the "androgen deprivation syndrome" in men receiving androgen deprivation for prostate cancer.

BACKGROUND: Androgen deprivation therapy for prostate cancer has been associated with a spectrum of adverse effects, such as depression, memory difficulties, and fatigue, termed the androgen deprivation syndrome. Primary care physicians providing follow-up care for men with prostate cancer will be faced with managing these effects. We therefore sought to estimate the incidence of these effects and, by using a control group, ascertain whether these effects were related to androgen deprivation itself. METHODS: We assessed the risk of physician diagnoses of depression, cognitive impairment, or constitutional symptoms in Medicare data following androgen deprivation using a sample of 50 613 men with incident prostate cancer and 50 476 men without cancer, from 1992 through 1997, in the linked Surveillance, Epidemiology, and End Results-Medicare database. Cox proportional hazards regression was used to adjust for confounding variables. RESULTS: Of men surviving at least 5 years after diagnosis, 31.3% of those receiving androgen deprivation developed at least 1 depressive, cognitive, or constitutional diagnosis compared with 23.7% in those who did not (P<.001). After adjustment for variables such as comorbidity, tumor characteristics, and age, the risks associated with androgen deprivation were substantially reduced or abolished: relative risk (RR) for depression diagnosis, 1.08 (95% confidence interval [CI], 1.02-1.15); RR for cognitive impairment, 0.99 (95% CI, 0.94-1.04); and RR for constitutional symptoms, 1.17 (95% CI, 1.13-1.22). CONCLUSION: Depressive, cognitive, and constitutional disorders occur more commonly in patients receiving androgen deprivation, but this appears to be primarily because patients receiving androgen deprivation are older and have more comorbid conditions and more advanced cancers.

Cardiac morbidity of adjuvant radiotherapy for breast cancer.

PURPOSE: Adjuvant breast irradiation has been associated with an increase in cardiac mortality, because left-sided breast radiation can produce cardiac damage. The purpose of this study was to determine whether modern adjuvant radiotherapy is associated with increased risk of cardiac morbidity. PATIENTS AND METHODS: Data from the Surveillance, Epidemiology, and End Results-Medicare database were used for women who were diagnosed with nonmetastatic breast cancer from 1986 to 1993, had known disease laterality, underwent breast surgery, and received adjuvant radiotherapy. The Cox proportional-hazards model was used to compare patients with left- versus right-sided breast cancer for the end points of hospitalization with the following discharge diagnoses (International Classification of Diseases, 9th Revision codes): ischemic heart disease (410-414, 36.0, and 36.1), valvular heart disease (394-397, 424, 35), congestive heart failure (428, 402.01, 402.11, 402.91, and 425), and conduction abnormalities (426, 427, 37.7-37.8, and 37.94-37.99). RESULTS: Eight thousand three hundred sixty-three patients had left-sided breast cancer, and 7,907 had right-sided breast cancer. Mean follow-up was 9.5 years (range, 0 to 15 years). There were no significant differences in patients with left- versus right-sided cancers for hospitalization for ischemic heart disease (9.9% v 9.7%), valvular heart disease (2.9% v 2.8%), conduction abnormalities (9.7% v 9.6%), or heart failure (9.7% v 9.7%). The adjusted hazard ratio for left- versus right-sided breast cancer was 1.05 (95% CI, 0.94 to 1.16) for ischemic heart disease, 1.07 (95% CI, 0.89 to 1.30) for valvular heart disease, 1.07 (95% CI, 0.96 to 1.19) for conduction abnormalities, and 1.05 (95% CI, 0.95 to 1.17) for heart failure. CONCLUSION: With up to 15 years of follow-up there were no significant differences in cardiac morbidity after radiation for left- versus right-sided breast cancer.

Socioeconomic status and survival in older patients with melanoma.

OBJECTIVES: To determine the association between socioeconomic status (SES) and survival in older patients with melanoma. DESIGN: Retrospective cohort study. SETTING: Surveillance, Epidemiology and End Results (SEER): a population-based cancer registry covering 14% of the U.S. population. PARTICIPANTS: Twenty-three thousand sixty-eight patients aged 65 and older with melanoma between 1988 and 1999. MEASUREMENTS: Outcome was melanoma-specific survival. Main independent variable was SES (measured as census tract median household income) taken from the SEER-Medicare linked data. RESULTS: Subjects residing in lower-income areas (< or =30,000 dollars/y) had lower 5-year survival rates (88.5% vs 91.1%, P < .001) than subjects residing in higher-income areas (>30,000 dollars/y). In Cox proportional hazard models, higher income was associated with lower risk of death from melanoma (hazard ratio = 0.88, 95% confidence interval = 0.79-0.98, P = .02) after adjusting for sociodemographics, stage at diagnosis, thickness, histology, anatomic site, and comorbidity index. There was an interaction effect between SES and ethnicity and survival from melanoma. For whites and nonwhites (all other ethnic groups), 5-year survival rates increased as income increased, although the effect was greater for nonwhites (77.6% to 90.1%, 1st to 5th quintiles, P = .01) than for whites (89.0% to 91.9%, 1st to 5th quintiles, P < .001). CONCLUSION: Older subjects covered by Medicare residing in lower-SES areas had poorer melanoma survival than those residing in higher-SES areas. Further research is needed to determine whether low SES is associated with late-stage disease biology and poorer early detection of melanoma.

Pancreatic cancer in the general population: Improvements in survival over the last decade.

BACKGROUND: It is unknown whether the improved survival seen at high-volume centers has been translated to all patients with pancreatic cancer. OBJECTIVE: To use the Surveillance, Epidemiology, and End Results (SEER) database to evaluate population-based trends in surgical resection and survival. METHODS: All patients diagnosed with pancreatic cancer from 1988-1999 were identified. The survival and proportion of patients undergoing surgical resection were compared for each of three equal time periods. RESULTS: There were 24,016 patients with pancreatic cancer. 19,533 had stage data available. 9% had localized, 29% had regional, and 62% had distant disease. Resection rates increased for patients with localized and regional disease over the three time periods. Survival increased for patients with regional and distant disease. For regional pancreatic cancer patients, 2-year survival increased from 9.5% to 13.5% (p < 0.0001) and from 21.5% to 28.9% following surgical resection (p = 0.002). For resected local/regional pancreatic cancer, the year of diagnosis was and independent predictor of improved survival (p = 0.0001). CONCLUSIONS: SEER patients with regional and distant pancreatic cancer have improved survival over the past decade in both unadjusted and adjusted models. The improvement is most striking for patients with regional disease and reflects increased resection rates and improved resection techniques over time.

Predictors of healthcare utilization among older Mexican Americans.

OBJECTIVE: To examine the effects of predisposing, enabling, and need factors on physician and hospital use among older Mexican Americans. DESIGN: A two-year prospective cohort study. SETTING: Five Southwestern states: Texas, New Mexico, Colorado, Arizona, and California. PARTICIPANTS: A population-based sample of 1987 non-institutionalized Mexican American men and women age > or =65 years. MAIN OUTCOMES MEASURES: Physician and hospital utilization. Predictor variables included predisposing, enabling, and need factors. Ordinary least square and logistic regression analysis were used to model the effects of predictor factors specified in the Andersen model of health service use on physician and hospital use. RESULTS: After two years of follow-up, predisposing and enabling factors accounted for <5% of the variance in physician and hospital use. Need factors explained 21% of the variance in physician use and 7% of the variance in hospital use. Older age; being female; insurance coverage; having arthritis, diabetes, heart attack, hypertension, stroke, or cancer; and number of medications were factors associated with higher physician utilization. Subjects with arthritis, diabetes, hip fracture, high depressive symptoms, activities of daily living (ADL) disability, or high number of medications increased the odds of having any hospitalization. Subjects with diabetes, heart attack, hip fracture, ADL disabled, and high number of medications had a greater number of hospital nights than their counterparts. CONCLUSIONS: Older age, female sex, insurance coverage, and prevalent medical conditions are determinants of healthcare use among older Mexican Americans.

Regular mammography use is associated with elimination of age-related disparities in size and stage of breast cancer at diagnosis.

BACKGROUND: There is little consensus about recommending mammography for women 75 years of age and older. These women have mammography less frequently and are more likely to receive a diagnosis of advanced breast cancer. OBJECTIVE: To examine the relationship between use of screening mammography and size and stage of cancer at diagnosis in older women. DESIGN: Retrospective cohort study. SETTING: Tumor registries in the Surveillance, Epidemiology, and End Results (SEER) program. PATIENTS: 12 038 women who were Medicare beneficiaries, were at least 69 years of age, resided in a SEER area, and received a new diagnosis of breast cancer in 1995 through 1996. MEASUREMENTS: Screening mammograms obtained in the 2 years before breast cancer diagnosis (none, one, or at least two) and stage and size of tumor at diagnosis. RESULTS: Older women (> or =75 years of age) had larger tumors at diagnosis and were less likely to have undergone screening mammography than younger women (69 to 74 years of age). The association between increased mammography use and smaller tumor size and stage was significantly greater in older women than in younger women (P = 0.010 for stage; P = 0.001 for size). The percentage of regular mammography users who received a diagnosis of high-stage disease (28% vs. 26%; P > 0.2) and the mean size of the tumors (15.0 mm vs. 15.1 mm; P > 0.2) did not significantly differ between younger and older women, respectively. These findings remained constant after controlling for factors that might contribute to biases. CONCLUSION: Mammography in older women is associated with elimination of age-related disparities in size and stage of breast cancer at diagnosis.

Effect of nurse case management on the treatment of older women with breast cancer.

OBJECTIVES: To evaluate the effect of nurse case management on the treatment of older women with breast cancer. DESIGN: Randomized prospective trial. SETTING: Sixty surgeons practicing at 13 community and two public hospitals in southeast Texas. PARTICIPANTS: Three hundred thirty-five women (166 control and 169 intervention) aged 65 and older newly diagnosed with breast cancer. INTERVENTION: Women seeing surgeons randomized to the intervention group received the services of a nurse case manager for 12 months after the diagnosis of breast cancer. MEASUREMENTS: The primary outcome was the type and use of cancer-specific therapies received in the first 6 months after diagnosis. Secondary outcomes were patient satisfaction and arm function on the affected side 2 months after diagnosis. RESULTS: More women in the intervention group received breast-conserving surgery (28.6% vs 18.7%; P=.031) and radiation therapy (36.0% vs 19.0%; P=.003). Of women undergoing breast-conserving surgery, greater percentages in the case management group received adjuvant radiation (78.3% vs 44.8%; P=.001) and axillary dissection (71.4% vs 44.8%; P=.057). Women in the case management group were also more likely to receive more breast reconstruction surgery (9.3% vs 2.6%, P=.054), and women in the case management group with advanced cancer were more likely to receive chemotherapy (72.7% vs 30.0%, P=.057). Two months after surgery, higher percentages of women in the case manager group had normal arm function (93% vs 84%; P=.037) and were more likely to state that they had a real choice in their treatment (82.2% vs 69.9%, P=.020). Women with indicators of poor social support were more likely to benefit from nurse case management. CONCLUSION: Nurse case management results in more appropriate management of older women with breast cancer.

Geographic variations in breast cancer survival among older women: implications for quality of breast cancer care.

BACKGROUND: Breast cancer care, such as utilization of screening procedures and types of treatment received, varies substantially by geographic region of the United States. However, little is known about variations in survival with breast cancer. METHODS: We examined breast cancer incidence, survival, and mortality in the 66 health service areas covered by the Surveillance, Epidemiology, and End Results (SEER) program for women aged 65 and older at diagnosis. Incidence and survival data were derived from SEER, while breast cancer mortality data were from Vital Statistics data. RESULTS: There was considerable variation in breast cancer survival among the 66 health service areas (chi2 = 202.7, p <.0001). There was also significant variation in incidence and mortality from breast cancer. In a partial correlation weighted for the size of the health service area, both incidence (r =.812) and percent 5-year survival (r = -.587) correlate with mortality. In a Poisson regression analysis, the combination of variation in incidence and variation in survival explains 90.9% of the variation in mortality. CONCLUSIONS: There is considerable geographic variation in survival from breast cancer among older women, and this contributes to variation in breast cancer mortality. Geographic variations in breast cancer mortality should diminish as the quality of breast cancer care becomes more standardized.

Using Medicare data to estimate the prevalence of breast cancer screening in older women: comparison of different methods to identify screening mammograms.

OBJECTIVES: To compare different methods for defining screening mammograms with Medicare claims and their impact on estimates of breast cancer screening rates. METHODS: Medicare outpatient facility and physician claims for 61,962 women in 1993 and 59,652 women in 1998 were reviewed for evidence of receipt of screening mammography. We compared the estimates of screening mammography use derived from CPT (Current Procedure Terminology) codes to categorize mammograms as screening or diagnostic versus using an algorithm that uses CPT codes plus breast-related diagnoses in the prior two years. We also compared estimates obtained from review of physician claims alone, facility claims alone, or the combination of the two sources of claims. RESULTS: Use of physician claims alone produced estimates of screening rates similar to rates calculated from use of both physician and outpatient (facility) claims. In 1993, the CPT code for screening mammography underestimated the rate of screening compared to estimates generated by using the algorithm (8.3 percent versus 18.0 percent prevalence, p<0.001). By 1998, the screening prevalence rate generated from using the CPT code for screening mammography more closely approximated the rate generated by the algorithm (23.0 percent versus 25.1 percent). By all methods of estimating screening mammography with Medicare claims, its prevalence increased substantially between 1993 and 1998. CONCLUSION: Providers increased their use of the screening mammography code in their charges to Medicare during the 1990s. This has improved the claims' ability to distinguish screening from diagnostic mammograms, but screening rates computed with claims continue to fall below those generated from self-reports of mammography use among general populations of older women.

An algorithm for the use of Medicare claims data to identify women with incident breast cancer.

OBJECTIVE: To develop and validate a clinically informed algorithm that uses solely Medicare claims to identify, with a high positive predictive value, incident breast cancer cases. DATA SOURCE: Population-based Surveillance, Epidemiology, and End Results (SEER) Tumor Registry data linked to Medicare claims, and Medicare claims from a 5 percent random sample of beneficiaries in SEER areas. STUDY DESIGN: An algorithm was developed using claims from 1995 breast cancer patients from the SEER-Medicare database, as well as 1995 claims from Medicare control subjects. The algorithm was validated on claims from breast cancer subjects and controls from 1994. The algorithm development process used both clinical insight and logistic regression methods. DATA EXTRACTION: Training set: Claims from 7,700 SEER-Medicare breast cancer subjects diagnosed in 1995, and 124,884 controls. Validation set: Claims from 7,607 SEER-Medicare breast cancer subjects diagnosed in 1994, and 120,317 controls. PRINCIPAL FINDINGS: A four-step prediction algorithm was developed and validated. It has a positive predictive value of 89 to 93 percent, and a sensitivity of 80 percent for identifying incident breast cancer. The sensitivity is 82-87 percent for stage I or II, and lower for other stages. The sensitivity is 82-83 percent for women who underwent either breast-conserving surgery or mastectomy, and is similar across geographic sites. A cohort identified with this algorithm will have 89-93 percent incident breast cancer cases, 1.5-6 percent cancer-free cases, and 4-5 percent prevalent breast cancer cases. CONCLUSIONS: This algorithm has better performance characteristics than previously proposed algorithms. The ability to examine national patterns of breast cancer care using Medicare claims data would open new avenues for the assessment of quality of care.