Association of Major Adverse Financial Events and Later-Stage Cancer Diagnosis in the United States.

PURPOSE: This study assessed the prevalence of specific major adverse financial events (AFEs)-bankruptcies, liens, and evictions-before a cancer diagnosis and their association with later-stage cancer at diagnosis. METHODS: Patients age 20-69 years diagnosed with cancer during 2014-2015 were identified from the Seattle, Louisiana, and Georgia SEER population-based cancer registries. Registry data were linked with LexisNexis consumer data to identify patients with a history of court-documented AFEs before cancer diagnosis. The association of AFEs and later-stage cancer diagnoses (stages III/IV) was assessed using separate sex-specific multivariable logistic regression. RESULTS: Among 101,649 patients with cancer linked to LexisNexis data, 36,791 (36.2%) had a major AFE reported before diagnosis. The mean and median timing of the AFE closest to diagnosis were 93 and 77 months, respectively. AFEs were most common among non-Hispanic Black, unmarried, and low-income patients. Individuals with previous AFEs were more likely to be diagnosed with later-stage cancer than individuals with no AFE (males-odds ratio [OR], 1.09 [95% CI, 1.03 to 1.14]; P < .001; females-OR, 1.18 [95% CI, 1.13 to 1.24]; P < .0001) after adjusting for age, race, marital status, income, registry, and cancer type. Associations between AFEs prediagnosis and later-stage disease did not vary by AFE timing. CONCLUSION: One third of newly diagnosed patients with cancer had a major AFE before their diagnosis. Patients with AFEs were more likely to have later-stage diagnosis, even accounting for traditional measures of socioeconomic status that influence the stage at diagnosis. The prevalence of prediagnosis AFEs underscores financial vulnerability of patients with cancer before their diagnosis, before any subsequent financial burden associated with cancer treatment.

Assessment of Interstate Residential Mobility of SEER Patients: SEER and LexisNexis Residential Address Linkage.

The National Cancer Institute (NCI) Surveillance, Epidemiology, and End Results (SEER) program is continuously exploring opportunities to augment its already extensive collection of data, enhance the quality of reported cancer information, and contribute to more comprehensive analyses of cancer burden. This manuscript describes a recent linkage of the LexisNexis longitudinal residential history data with 11 SEER registries and provides estimates of the inter-state mobility of SEER cancer patients. To identify mobility from one state to another, we used state postal abbreviations to generate state-level residential histories. From this, we determined how often cancer patients moved from state-to-state. The results in this paper provide information on the linkage with LexisNexis data and useful information on state-to-state residential mobility patterns of a large portion of US cancer patients for the most recent 1-, 2-, 3-, 4-, and 5-year periods. We show that mobility patterns vary by geographic area, race/ethnicity and age, and cancer patients tend to move less than the general population.

Development and Utility of the Observational Research in Oncology Toolbox: Cancer Medications Enquiry Database-Healthcare Common Procedure Coding System (HCPCS).

PURPOSE: Health-care claims are of increasing utility as a rich, real-world data resource for conducting treatment-related cancer research. However, multiple dynamic coding nomenclatures exist, leading to study variability. To promote increased standardization and reproducibility, the National Cancer Institute (NCI) developed the Cancer Medications Enquiry Database (CanMED)-Healthcare Common Procedure Coding System (HCPCS) within the Observational Research in Oncology Toolbox. METHODS: The CanMED-HCPCS includes codes for oncology medications that a) have a US Food and Drug Administration-approved indication for cancer treatment or treatment-related symptom management; b) are present in National Comprehensive Cancer Network guidelines; or c) carry an orphan drug designation for treatment or management of cancer. Included medications and their HCPCS codes were primarily identified based on Center for Medicare and Medicaid Services annual HCPCS Indices (2012-2018). To demonstrate the utility of the CanMED-HCPCS, use of systemic treatment for stage II-IV colorectal cancer patients included in the Surveillance, Epidemiology, and End Results-Medicare data (2007-2013) was assessed. RESULTS: The CanMED-HCPCS (v2018) includes 332 HCPCS codes for cancer-related medications: chemotherapy (156), immunotherapy (74), hormonal therapy (54), and ancillary therapy (48). Observed treatment trends within the NCI Surveillance, Epidemiology, and End Results-Medicare data were as expected; utilization of each treatment type increased with stage, and immunotherapy was largely confined to use among stage IV patients. CONCLUSION: The CanMED-HCPCS provides a comprehensive resource that can be used by the research community to facilitate systematic identification of medications within claims or electronic health data using the HCPCS nomenclature and greater reproducibility of cancer surveillance and health services research.

An Evaluation of the Utility of Big Data to Supplement Cancer Treatment Information: Linkage Between IQVIA Pharmacy Database and the Surveillance, Epidemiology, and End Results Program.

Oral anticancer medications (OAMs) are increasingly utilized. We evaluated the representativeness and completeness of IQVIA, a large aggregator of pharmacy data, for breast cancer, colon cancer, chronic myeloid leukemia, and myeloma cases diagnosed in six Surveillance, Epidemiology, and End Results Program (SEER) registries between 2007 and 2011. Patient's SEER and SEER-Medicare data were linked and compared with IQVIA pharmacy data from 2006 to 2012 for specific OAMs. Overall, 67.6% of SEER cases had a pharmacy claim in IQVIA during the treatment assessment window. This varied by location, race and ethnicity, and insurance status. IQVIA consistently identified fewer cases who received an OAM of interest than SEER-Medicare. The difference was least pronounced for breast cancer agents and most pronounced for myeloma agents. The IQVIA pharmacy database included a large portion of persons in the SEER areas. Future studies should assess receipt of OAMs for other cancer sites and in different SEER registries.

Utilization of the Cancer Medications Enquiry Database (CanMED)-National Drug Codes (NDC): Assessment of Systemic Breast Cancer Treatment Patterns.

Cancer Medications Enquiry Database (CanMED) is comprised of two interactive, nomenclature-specific databases within the Observational Research in Oncology Toolbox: CanMED-Healthcare Common Procedure Coding System (HCPCS) and CanMED-National Drug Code (NDC), described through this study. CanMED includes medications with a) a US Food and Drug Administration-approved cancer treatment or treatment-related symptom management indication, b) inclusion in treatment guidelines, or c) an orphan drug designation. To demonstrate the joint utility of CanMED, medication codes associated with female breast cancer treatment were identified and utilization patterns were assessed within Surveillance Epidemiology and End Results-Medicare (SEER) data. CanMED-NDC (11_2018 v.1.2.4) includes 6860 NDC codes: chemotherapy (1870), immunotherapy (164), hormone therapy (3074), and ancillary therapy (1752). Treatment patterns among stage I-IIIA (20 701) and stage IIIB-IV (2381) breast cancer patients were accordant with guideline-recommended treatment by stage and molecular subtype. CanMED facilitates identification of medications from observational data (eg, claims and electronic health records), promoting more standardized and efficient treatment-related cancer research.

Annual Report to the Nation on the Status of Cancer, part II: Recent changes in prostate cancer trends and disease characteristics.

BACKGROUND: Temporal trends in prostate cancer incidence and death rates have been attributed to changing patterns of screening and improved treatment (mortality only), among other factors. This study evaluated contemporary national-level trends and their relations with prostate-specific antigen (PSA) testing prevalence and explored trends in incidence according to disease characteristics with stage-specific, delay-adjusted rates. METHODS: Joinpoint regression was used to examine changes in delay-adjusted prostate cancer incidence rates from population-based US cancer registries from 2000 to 2014 by age categories, race, and disease characteristics, including stage, PSA, Gleason score, and clinical extension. In addition, the analysis included trends for prostate cancer mortality between 1975 and 2015 by race and the estimation of PSA testing prevalence between 1987 and 2005. The annual percent change was calculated for periods defined by significant trend change points. RESULTS: For all age groups, overall prostate cancer incidence rates declined approximately 6.5% per year from 2007. However, the incidence of distant-stage disease increased from 2010 to 2014. The incidence of disease according to higher PSA levels or Gleason scores at diagnosis did not increase. After years of significant decline (from 1993 to 2013), the overall prostate cancer mortality trend stabilized from 2013 to 2015. CONCLUSIONS: After a decline in PSA test usage, there has been an increased burden of late-stage disease, and the decline in prostate cancer mortality has leveled off. Cancer 2018;124:2801-2814. © 2018 American Cancer Society.

Availability of TNM Staging Data Elements in the Medical Record and Training Needs Assessment: Results from the 2014 SEER Training Needs Assessment for TNM Study.

BACKGROUND: In 2016, the cancer registry community will directly assign T, N and M components of stage. The Surveillance, Epidemiology, and End Results program implemented a field study to determine how often T, N and M were not available in the medical record, requiring the registrar to directly assign clinical or pathologic TNM stage components. The field study also identified specific training needs. METHODS: T, N and M status were collected from multiple sources within medical records for a total of 280 cases, 56 each from breast, prostate, colon, lung, and ovarian cancer. TNM data elements were also directly assigned by a series of reviewers and by study participants using the medical records with TNM information redacted. Availability of physician-assigned TNM was estimated from the medical record. Also, participant responses were compared to preferred answers. RESULTS: Pathologic T, N and M were available more often in the medical records than were clinical values and varied by site. Pathologic T and N were available for about two-thirds of the cases, but the clinical elements were available for only about 20% of cases. The agreement between participant responses and review panel assignments varied by data element and cancer site. Agreement was modest for most data elements and cancer sites, ranging from 54% for clinical T to 92% for clinical M for all cancer sites combined. CONCLUSIONS: The data elements for TNM staging and stage group were often missing from the medical records, so registrars in the field will need to assign TNM frequently. Furthermore, the results of this study strongly suggest that more training is required, even among those who currently assign TNM.

Daily home opioid use in adults with sickle cell disease: The PiSCES project.

BACKGROUND: Although opioid prescribing in sickle cell disease (SCD) can be controversial, little is published about patterns of opioid use. OBJECTIVE: To report on home opioid use among adults with SCD. DESIGN: Cohort study. PARTICIPANTS: Adults with SCD (n=219) who completed daily pain diaries for up to 6 months and had at least one home pain day. MAIN MEASURES: Use of long-acting or short-acting opioids, other analgesics, or adjuvants; the proportion of home days, home pain days, and home crisis days with opioid use; these two outcomes according to patient characteristics. KEY RESULTS: Patients used opioids on 12,311 (78 percent) of 15,778 home pain days. Eighty-five patients (38.8 percent) used long-acting opioids with or without short-acting opioids and 103 (47.0 percent) used only short-acting opioids. Twenty-one (9.6 percent) patients used only non-opioid analgesics and 10 (4.6 percent) used no analgesics. Both pain intensity and pain frequency were higher among opioid users (analysis of variance [ANOVA], p<0.0001). Opioid users used hydroxyurea more often than nonusers, even when controlling for mean pain on pain days. Among all patients, significant relationships were found between any opioid use and somatic symptom burden, SCD stress, negative coping, and physical and mental quality of life (QOL); the relationship with SCD stress and physical QOL remained when controlled for mean pain. Among opioid users, similar associations were found between frequency of opioid use and some disease-related and psychosocial variables. CONCLUSIONS: In this adult SCD sample, opioids were used by the majority of patients. Pain was the overwhelming characteristic associated with use, but disease-related and psychosocial variables were also associated.

Enhancing central cancer registry treatment data using physician medical claims: a Florida pilot project.

BACKGROUND: To capture the complete first course of therapy and cancer incidence, given the shift in cancer care from the hospital to the private physician practice, central cancer registries (CCRs) in the United States are actively pursuing cancer reporting from ambulatory providers. The 837 medical health claim is a national standard which CCRs can use to capture and translate data into standardized cancer reporting for surveillance. METHODS: The Florida Cancer Data System conducted a pilot project with a large medical oncology practice to transmit electronic claims from 2011 to 2013. Using the logic and platform developed under a previous National Cancer Institute (NCI) contract, claims were consolidated and translated into standardized cancer registry codes. Consolidated physician claims were compared against gold standard data from the practice electronic health record (EHR) and evaluated for enhancement to registry data. RESULTS: A total of 623 patient tumor cases were collected from the practice EHR and matched to the physician claims data, and to the original cancer registry record. The claims captured 256 cases (41 percent) with chemotherapy, compared to 28 percent in the registry data set, and 45 percent in the gold standard EHR data set. Combining physician claims with registry data produced 280 cases (45 percent) with chemotherapy. The physician claims plus the registry cancer chemotherapy treatment data produced 92 percent agreement, 92 percent sensitivity, and 91 percent positive predictive value. Claims added 103 cases, or 16.5 percent, to the total chemotherapy received. CONCLUSIONS: Physician medical claims data capture chemotherapy information not otherwise reported by hospitals, and is a standardized and efficient mechanism for cancer reporting.

The value of billing data from oncology practice to supplement treatment information for cancer surveillance.

BACKGROUND: Cancer treatment information is often underreported in cancer registries due to the shift in cancer care to ambulatory settings. Incomplete treatment information for central registries limits the usefulness of these data for understanding disparities in outcomes. The objective of this study was to evaluate the added value and validity of medical billing data to supplement treatment for incident cases within a central cancer registry. METHODS: Billing data using standardized structure and nomenclature as submitted by all practices was evaluated using an automated software (MDoffice, MDO) process that captures and processes these data and submits the information in a standardized format. A validation of the billing reported treatment was performed using data from 3 community oncology practices. RESULTS: The accuracy of treatment data captured was 100 percent for both chemotherapy and radiation therapy among the 313 cases validated. Chemotherapy (36 percent and 5 percent respectively for solid tumors and hematologic cancers) and radiation therapy (46 percent and 20 percent respectively for solid tumors and hematologic cancers) information was added to 738 known incident cases using billing data. CONCLUSION: Automated reporting based on billing data from community specialty providers is likely to markedly enhance the completeness of treatment data among known cancer cases as these community providers render significant amounts of treatment for cancer patients.

Barriers to therapeutic clinical trials enrollment: differences between African-American and white cancer patients identified at the time of eligibility assessment.

BACKGROUND: Clinical trials (CTs) are the mechanism by which research is translated into standards of care. Low recruitment among underserved and minority populations may result in inequity in access to the latest technology and treatments, compromise the generalizability, and lead to failure in identification of important positive or negative treatment effects among under-represented populations. METHODS: Data were collected over a 39-month period on patient eligibility for available therapeutic cancer CTs. Reasons for ineligibility and refusal were collected. The data were captured using an automated software tool for tracking eligibility pre-enrollment. We examined characteristics associated with being evaluated for a trial, and reasons for ineligibility and refusal, overall and by patient race. RESULTS: African-Americans (AAs) were more likely than Whites to be ineligible (odds ratio, (OR) = 1.26, 95% confidence interval (CI) = 1.0-1.58) and if eligible, to refuse participation (OR = 1.79, 95% CI = 1.27-2.52), even after adjusting for insurance, age, gender, study phase, and cancer type. White patients were more likely to be ineligible due to study-specific or cancer characteristics. AAs were more likely to be ineligible due to mental status or perceived noncompliance. Whites were more likely to refuse due to extra burden, due to concerns with randomization and toxicity, or because they express a positive treatment preference. AAs were more likely to refuse because they were not interested in CTs, because of family pressures, or they felt overwhelmed (NS)). DISCUSSION: This study is the first to directly compare ineligibility and refusal rates and reasons captured prospectively in AA and White cancer patients. The data are consistent with earlier studies that indicated that AA patients more often are deemed ineligible and, when eligible, more often refuse participation. However, differences in reasons for ineligibility and refusal by race have implications for a cancer center to participate in CTs appropriate for the population of patients served. On a broader scale, consideration should be given to modifying eligibility criteria and other design aspects to permit broader participation of minority and other underserved groups.

Effort required in eligibility screening for clinical trials.

PURPOSE: Determining eligibility for a clinical trial (CT) typically requires a lengthy manual review of data for a single evaluation. The cost associated with eligibility screening is typically not compensated through contracts supporting CTs. METHODS: We used a real-time tracking system that captures CT evaluations and provides information on evaluation outcomes and time spent on each eligibility screening by research staff. Using these data, we describe the effort and costs of eligibility screening overall and per enrolled patient for cancer CTs. The study sample included all completed eligibility assessment (evaluation) records for the 18-month study period. We used generalized multinomial modeling to predict evaluation outcomes and then used the resulting parameter coefficients to estimate the effort associated with each participant, adjusted for probability of being enrolled. From these data, we calculated cost associated with eligibility screening. RESULTS: We found substantial variation in attributed cost by study type and phase. The cost of eligibility screening ranged by study phase from $129.15 to $336.48 per enrolled patient. The estimated annual cost of screening was more than $90,000. CONCLUSION: This study provides results based on prospectively captured effort to estimate the largely nonreimbursed costs of eligibility screening and suggests that screening can be a significant financial burden to an institution. Centers performing CTs may need to acknowledge the differences in screening costs for different study types when negotiating contracts with funding organizations. Information such as that captured here could support such negotiations to reduce the gap between reimbursed and nonreimbursed costs.

Impact of automated data collection from urology offices: improving incidence and treatment reporting in urologic cancers.

BACKGROUND: Urologic cancers represent a substantial proportion of the total cancer burden, yet the true burden of these cancers is unknown due to gaps in current cancer surveillance systems. Prostate and bladder cancers in particular may be underreported due to increased availability of outpatient care. Thus, there is a critical need to develop systems to completely and accurately capture longitudinal data to understand the true patterns of care and outcomes for these cancers. METHODS: We determined the accuracy and impact of automated software to capture and process billing data to supplement reporting of cancers diagnosed and treated in a large community urology practice. From these data, we estimated numbers of unreported cancers for an actively reporting and for a non-reporting practice and the associated impact for a central cancer registry. RESULTS: The software automatically processed billing data representing 26,133 visits for 15,495 patients in the 3.5-month study period. Of these, 2,275 patients had a cancer diagnosis and 87.2% of these matched with a central registry case. The estimated annual number of prostate and bladder cancers remaining unreported from this practice was 158. If the practice were not actively reporting, the unreported cases were estimated at 1,111, representing an increase of 12% to the registry. Treatments added from billing varied by treatment type with the largest proportion of added treatments for biologic response modifiers (BRMs) (127%-166%) and chemotherapy (22%). CONCLUSION: Automated processing of billing data from community urology practices offers an opportunity to enhance capture of missing prostate and bladder cancer surveillance data with minimal effort to a urology practice. IMPACT: Broader implementation of automated reporting could have a major impact nationally considering the more than 12,000 practicing urologists listed as members of the American Urological Association.

Daily assessment of pain in adults with sickle cell disease.

BACKGROUND: Researchers of sickle cell disease have traditionally used health care utilization as a proxy for pain and underlying vaso-occlusion. However, utilization may not completely reflect the amount of self-reported pain or acute, painful episodes (crises). OBJECTIVE: To examine the prevalence of self-reported pain and the relationship among pain, crises, and utilization in adults with sickle cell disease. DESIGN: Prospective cohort study. SETTING: Academic and community practices in Virginia. PATIENTS: 232 patients age 16 years or older with sickle cell disease. MEASUREMENTS: Patients completed a daily diary for up to 6 months, recording their maximum pain (on a scale of 0 to 9); whether they were in a crisis (crisis day); and whether they used hospital, emergency, or unscheduled ambulatory care for pain on the previous day (utilization day). Summary measures included both simple proportions and adjusted probabilities (for repeated measures within patients) of pain days, crisis days, and utilization days, as well as mean pain intensity. RESULTS: Pain (with or without crisis or utilization of care) was reported on 54.5% of 31 017 analyzed patient-days (adjusted probability, 56%). Crises without utilization were reported on 12.7% of days and utilization on only 3.5% (unadjusted). In total, 29.3% of patients reported pain in greater than 95% of diary days, whereas only 14.2% reported pain in 5% or fewer diary days (adjusted). The frequency of home opiate use varied and independently predicted pain, crises, and utilization. Mean pain intensity on crisis days, noncrisis pain days, and total pain days increased as the percentage of pain days increased (P < 0.001). Intensity was significantly higher on utilization days (P < 0.001). However, utilization was not an independent predictor of crisis, after controlling for pain intensity. LIMITATIONS: The study was done in a single state. Patients did not always send in their diaries. CONCLUSION: Pain in adults with sickle cell disease is the rule rather than the exception and is far more prevalent and severe than previous large-scale studies have portrayed. It is mostly managed at home; therefore, its prevalence is probably underestimated by health care providers, resulting in misclassification, distorted communication, and undertreatment.

Depression and anxiety in adults with sickle cell disease: the PiSCES project.

OBJECTIVE: Depression and anxiety are common in sickle cell disease (SCD) but relatively little is known about their impact on SCD adults. This study measured prevalence of depression and anxiety in SCD adults, and their effects on crisis and noncrisis pain, quality-of-life, opioid usage, and healthcare utilization. METHODS: The Pain in Sickle Cell Epidemiology Study is a prospective cohort study in 308 SCD adults. Baseline variables included demographics, genotype, laboratory data, health-related quality-of-life, depression, and anxiety. Subjects completed daily diaries for up to 6 months, reporting sickle cell pain intensity, distress, interference, whether they were in a sickle cell crisis, as well as health care and opioid utilization. RESULTS: Two hundred thirty-two subjects who completed at least 1 month of diaries were studied; 27.6% were depressed and 6.5% had any anxiety disorder. Depressed subjects had pain on significantly more days than nondepressed subjects (mean pain days 71.1% versus 49.6%, p < .001). When in pain on noncrisis days, depressed subjects had higher mean pain, distress from pain, and interference from pain. Both depressed and anxious subjects had poorer functioning on all eight SF-36 subscales, even after controlling for demographics, hemoglobin type, and pain. The anxious subjects had more pain, distress from pain, and interference from pain, both on noncrisis pain days and on crisis days, and used opioids more often. CONCLUSIONS: Depression and anxiety predicted more daily pain and poorer physical and mental quality-of-life in adults with SCD, and accounted for more of the variance in all domains of quality-of-life than hemoglobin type.

The added value of claims for cancer surveillance: results of varying case definitions.

OBJECTIVE: As cancer diagnosis and treatment has moved to the outpatient healthcare setting, traditional cancer surveillance tools are less effective for complete and unbiased capture of incident cases. This study evaluates the potential for Medicare data to supplement cancer surveillance in a unique manner by using a standard that is independent of a central cancer registry. DESIGN: State cancer registry records were matched with Medicare data. Case validation included inpatient record abstraction combined with a mail/telephone survey of treating physicians. The positive predictive value (PPV), sensitivity (capture rate), and potential additional cases were calculated for 6 Medicare claims-based case definitions. RESULTS: The PPV varied according to cancer site and definition, ranging from 70%-97% (prostate) to 87%-98% (breast). Sensitivity varied inversely with PPV, ranging from 51%-94% (breast) to 10%-88% (lung). The most important factors that predicted being missed by the registry were having no admission to an ACOS-certified hospital and no surgical treatment. CONCLUSION: Medicare data represent a valid resource for supplementing state cancer registries in surveillance efforts. This potential is especially applicable to cancers predominantly diagnosed and treated outside the hospital setting.

Using Medicare data to estimate the number of cases missed by a cancer registry: a 3-source capture-recapture model.

BACKGROUND: Cancer surveillance is essential for assessing patterns of cancer occurrence. State cancer registries do not capture all available cases potentially biasing results. Secondary data may be useful in identifying new cases and estimating the number of cases missed. OBJECTIVE: We sought to create 2 distinct data sources from Medicare claims to use in combination with registry data as 3 sources for a capture-recapture analysis to estimate the capture rate and bias in capture of a statewide cancer registry. METHODS: Data from the Virginia cancer registry (Registry) were merged with Medicare inpatient (Part A) as well as Medicare outpatient and physician claims (Part B) to provide 3 sources to estimate missing cases. A 3-source loglinear model was used to estimate the number of missing cancer cases for breast, lung, colorectal, and prostate cancer. Models included main effects and interactions. Additional analysis looked at the effect of demographic and comorbidity variables. RESULTS: Loglinear models demonstrated mostly positive dependence between the 3 sources, implying that 2-source models would underestimate missing cases and overestimate capture rates. Using capture-recapture estimates of total number of cancer cases as the denominator, capture rates for Registry ranged from 59% (colorectal) to 74% (lung). When the aggregate of cases found by either Medicare or Registry were used the capture rates ranged from 74% (prostate) to 89% (breast). Further analysis indicated that capture rates differed by demographic characteristics. CONCLUSION: We conclude that Medicare claims are useful to supplement a Registry, estimate the number of missing cases, and assess bias in capture.

A high-volume specialist palliative care unit and team may reduce in-hospital end-of-life care costs.

BACKGROUND: Current end-of-life hospital care can be of poor quality and high cost. High volume and/or specialist care, and standardized care with clinical practice guidelines, has improved outcomes and costs in other areas of cancer care. METHODS: The objective of this study was to measure the impact of the palliative care unit (PCU) on the cost of care. The PCU is a dedicated 11-bed inpatient (PCU) staffed by a high-volume specialist team using standardized care. We compared daily charges and costs of the days prior to PCU transfer to the stay in the PCU, for patients who died in the first 6 months after the PCU opened May 2000. We performed a case-control study by matching 38 PCU patients by diagnosis and age to contemporary patients who died outside the PCU cared for by other medical or surgical teams, to adjust for potential differences in the patients or goals of care. RESULTS: The unit admitted 237 patients from May to December 2000. Fifty-two percent had cancer followed by vascular events, immunodeficiency, or organ failure. For the 123 patients with both non-PCU and PCU days, daily charges and costs were reduced by 66% overall and 74% in "other" (medications, diagnostics, etc.) after transfer to the PCU (p < 0.0001 for all). Comparing the 38 contemporary control patients who died outside the PCU to similar patients who died in the PCU, daily charges were 59% lower (US dollars 5304 +/- 5850 to US dollars 2172 +/- 2250, p = 0.005), direct costs 56% lower (US dollars 1441 +/- 1438 to US dollars 632 +/- 690, p = 0.004), and total costs 57% lower (US dollars 2538 +/- 2918 to US dollars 1095 +/- 1153, p = 0.009). CONCLUSIONS: Appropriate standardized care of medically complex terminally ill patients in a high-volume, specialized unit may significantly lower cost. These results should be confirmed in a randomized study but such studies are difficult to perform.

Breast conservation therapy rates are no different in medically indigent versus insured patients with early stage breast cancer.

PURPOSE: Multiple prospective, randomized studies show that breast conservation therapy (BCT) results in survival rates equal to mastectomy (Mx) for patients with early stage breast cancer (ESBC). Nevertheless, BCT remains underused in certain areas of the nation, without clearly definable reasons. Several studies have implicated socioeconomic status as one potential cause for this disparity in BCT usage. We sought to compare BCT rates in the medically indigent versus insured patients, within the same institution. METHODS: Data from 1993 to 2000, collected from the institutional tumor registry and the hospital's claims records, were analyzed for 928 patients with ESBC (Stages 0, I, and II), treated at a single medical center. The same surgeons treated both insured and indigent patients. Patients treated by BCT or Mx were compared for age, race, stage, insurance status, access to a radiation therapy center, surgeon, and year of diagnosis. RESULTS: Patient age, race, surgeon, or insurance status did not significantly affect the rate of mastectomy. Stage I patients (P < 0.001) and those treated after 1995 had higher BCT rates (54.9% in 1993-95 vs. 70.7% in 1996-2000; P < 0.001). Travel distance to a radiation therapy center had no significant impact on BCT rates, except for patients >40 miles distant. CONCLUSIONS: These data refute the hypothesis that socioeconomic status, as reflected by medical insurance, is a determinant of BCT in women with ESBC. Distance of <40 miles to a radiation therapy facility, Stage I disease, and diagnosis after 1995 were factors associated with higher BCT rates.

Using Medicare claims to identify second primary cancers and recurrences in order to supplement a cancer registry.

BACKGROUND AND OBJECTIVE: The purpose of this study was to use Medicare claims to develop models to assist cancer registries in identifying cancer patients with second primaries or recurrences (an "event"). METHODS: Medicare inpatient and Part B data were merged with a cancer registry for patients first diagnosed in 1993-1994. Logistic regression was used to model the occurrence of an event at least 1 year after initial diagnosis, and to identify factors that could discriminate between recurrences and second primaries. RESULTS: Predictors of an event included an inpatient cancer diagnosis, cancer diagnosis different from the initial diagnosis from any source, and radiation or surgery claims in Part B. The ROC curve area was 0.90 with all Medicare data; 0.84 when restricted to inpatient data. A cancer diagnosis different from the initial diagnosis or having surgery predicted a second primary; regional or distant stage disease, diagnosis of secondary malignancy, or an inpatient diagnosis of primary cancer in a position other than principal predicted recurrence. CONCLUSIONS: Although Medicare claims have not been evaluated as a stand-alone system to identify second primaries and recurrences, Medicare claims may be useful tools for Cancer Registries in case ascertainment and follow-up.