Retention of enrollees following a cancer diagnosis within health maintenance organizations in the Cancer Research Network

Cancer Diagnosis During Pregnancy and Livebirth Outcomes in the Adolescent and Young Adult Horizon Study

Objective: To describe patterns of cancer treatment and live birth outcomes that followed a cancer diagnosis during pregnancy. Study Design: The Adolescent and Young Adult (AYA) Horizon Study is an observational study evaluating outcomes in survivors of the five most common types of cancer in this age group (15-39 years old). Of the 23,629 individuals identified diagnosed with breast, lymphoma, thyroid, melanoma, or gynecological cancer in North Carolina (2000-2015) and California (2004-2016), we identified 555 live births to individuals who experienced cancer diagnosis during pregnancy. Births to individuals diagnosed with cancer during pregnancy were matched ∼1:5 on maternal age and year of delivery to live births to individuals without a cancer diagnosis (N = 2,667). Multivariable Poisson regression was used to compare birth outcomes between pregnancies affected by a cancer diagnosis and unaffected matched pregnancies. Results: Cancer diagnosis during pregnancy was associated with an increased risk of preterm delivery (prevalence ratio [PR] 2.70; 95% confidence interval [CI] 2.24, 3.26); very preterm delivery (PR 1.74; 95% CI 1.12, 2.71); induction of labor (PR 1.48; 95% CI 1.27, 1.73); low birth weight (PR 1.97; 95% CI 1.55, 2.50); and cesarean delivery (PR 1.18; 95% CI 1.04, 1.34) but not associated with low Apgar score (PR 0.90; 95% CI 0.39, 2.06). In our sample, 41% of patients received chemotherapy, half of whom initiated chemotherapy during pregnancy, and 86% received surgery, 58% of whom had surgery during pregnancy. Of the 19% who received radiation, all received radiation treatment following pregnancy. Conclusion: We identified an increased risk of birth outcomes, including preterm and very preterm delivery, induction of labor, low birth weight, and cesarean delivery, to those experiencing a cancer diagnosis during pregnancy. This analysis contributes to the available evidence for those experiencing a cancer diagnosis during pregnancy.

Treatment patterns for relapsed and refractory Hodgkin lymphoma in a community oncology setting

There is little data about treatment practices for relapsed/refractory Hodgkin Lymphoma (HL) in nonacademic settings. We describe sequential treatments and outcomes among HL patients who experienced treatment failure in an integrated community-oncology setting. We performed a retrospective cohort study among patients ≥12 years diagnosed with Stage II-IV HL from 2007 to 2012 at Kaiser Permanente Southern California (KPSC). Of 463 HL patients, 75 (16.1%) experienced treatment failure. Patients with failure received between 1 and 8 salvage therapies; 28% received ≥4 lines of therapy. Fifty-nine of 75 (79%) were initially salvaged with ifosfamide-based therapy, 44 of whom underwent hematopoietic cell transplant. Ultimately, 47% of patients died, with most deaths due to HL. Survival was shorter with increasing age at diagnosis (p = 0.02) and with greater number of lines of therapy (p = 0.02). In a community oncology setting, HL patients received multiple lines of salvage. Despite extensive treatment, nearly half of patients died of HL following relapsed/refractory disease.

The Adolescent and Young Adult (AYA) Horizon Study: An AYA Cancer Survivorship Cohort

BACKGROUND

In the United States, >45,000 adolescent and young adult (AYA) women are diagnosed with cancer annually. Reproductive issues are critically important to AYA cancer survivors, but insufficient information is available to address their concerns. The AYA Horizon Study was initiated to contribute high-quality, contemporary evidence on reproductive outcomes for female cancer survivors in the United States.

METHODS

The study cohort includes women diagnosed with lymphoma, breast, melanoma, thyroid, or gynecologic cancer (the five most common cancers among women ages 15-39 years) at three study sites: the state of North Carolina and the Kaiser Permanente health systems in Northern and Southern California. Detailed information on cancer treatment, fertility procedures, and pregnancy (e.g., miscarriage, live birth) and birth (e.g., birth weight, gestational length) outcomes are leveraged from state cancer registries, health system databases and administrative insurance claims, national data on assisted reproductive technology procedures, vital records, and survey data.

RESULTS

We identified a cohort of 11,072 female AYA cancer survivors that includes >1,200 African American women, >1,400 Asian women, >1,600 Medicaid enrollees, and >2,500 Hispanic women using existing data sources. Active response to the survey component was low overall (N = 1,679), and notably lower among minority groups compared with non-Hispanic white women.

CONCLUSIONS

Passive data collection through linkage reduces participant burden and prevents systematic cohort attrition or potential selection biases that can occur with active participation requirements.

IMPACT

The AYA Horizon study will inform survivorship planning as fertility and parenthood gain increasing recognition as key aspects of high-quality cancer care.

Prostate-specific antigen testing after the US Preventive Services Task Force recommendation: a population-based analysis of electronic health data

PURPOSE

This study describes longitudinal trends in the use of prostate-specific antigen (PSA)-based testing in two geographically distinct healthcare systems following the 2011 US Preventive Services Task Force (USPSTF) recommendations against routine PSA screening.

METHODS

We analyzed population-based health claims data from 253,139 men aged 40-80 who were enrolled at two US healthcare systems. We assessed trends in the percentage of eligible men receiving ≥ 1 PSA test per year by time period (2000-2008, 2009-2011, 2012-2014), age (40-54, 55-69, 70-80), and race (white, black, other, unknown), and conducted a joinpoint regression analysis.

RESULTS

Men aged 55-69 and 70-80 years of all races had similar use of PSA testing between 2000 and 2011, ranging between 47 and 56% of eligible men by year, while only 22-26% of men aged 40-54 had a PSA test per year during this period. Overall, the percentage of men receiving at least one PSA test per year decreased by 26% between 2009-2011 and 2012-2014, with similar trends across race and age groups. PSA testing declined significantly after 2011 (annual percent change = - 11.28).

CONCLUSIONS

Following the 2011 USPSTF recommendations against routine PSA screening, declines in PSA testing were observed among men of all races and across all age groups in two large US healthcare systems.

Health Plan Enrollment and Disenrollment of Individuals With and Without Established Chronic Disease in a U.S. Commercially Insured and Medicare Advantage Population

BACKGROUND

Chronic disease is associated with increased health care resource utilization and costs. Effective development and implementation of health care management and clinical intervention programs require an understanding of health plan member enrollment and disenrollment behavior.

OBJECTIVE

To examine the health plan enrollment and disenrollment behavior of commercially insured and Medicare Advantage members with established chronic disease compared with matched members without the disease of interest, using data from a large national health insurer in the United States.

METHODS

This retrospective matched cohort study used administrative claims data from the HealthCore Integrated Research Database from January 1, 2006, to November 30, 2015, to identify adults with chronic disease (type 2 diabetes mellitus [T2DM], cardiovascular disease [CVD], chronic obstructive pulmonary disease [COPD], rheumatoid arthritis [RA], and breast cancer [BC]). Members with no established chronic disease (controls) were directly matched to members with established chronic disease (cases) on demographic characteristics. The earliest date on which members met the criteria for a given disease was defined as the index date. Controls had the same index date as the matched cases. All members had ≥ 12 months of continuous health plan enrollment before the index date. Outcomes included health plan member disenrollment and enrollment duration. Incidence rates per 1,000 member-years for member disenrollment were evaluated along with incidence rate ratios (relative risk) using a Poisson model. Time to disenrollment was analyzed by Cox proportional hazard models and Kaplan-Meier survival curves. Sensitivity analyses were conducted where death was included as a disenrollment event.

RESULTS

70,907 health plan members with BC (99.7% female, mean age 60.5 years); 28,883 members with COPD (52.3% female, mean age 66.7); 835,358 members with CVD (50.5% female, mean age 62.7 years); 210,936 members with T2DM (45.2% female, mean age 53.6 years); and 31,954 members with RA (72.0% female, mean age 55.5 years) were matched to controls and met the study criteria. The incidence rates of health plan disenrollment ranged from 155 to 192 members per 1,000 members per year. Compared with controls, members with chronic disease were 30%-40% less likely to disenroll from a health plan (P < 0.001 for all comparisons). Among those who disenrolled, enrollment duration ranged from 2.3 to 2.7 years among cases and 1.5 to 1.8 years among matched controls (P ≤ 0.001 for all comparisons).

CONCLUSIONS

This real-world study demonstrated that members with chronic disease had a significantly lower rate of disenrollment and a longer duration of enrollment compared with matched controls and were continuously enrolled for almost a year longer than members without a diagnosed chronic disease. Understanding health plan enrollment and disenrollment behavior may provide a valuable context for determining the time frame for the effect of health care programs and initiatives.

DISCLOSURES

Funding for this study was provided by HealthCore, a wholly owned subsidiary of Anthem. Chung, Deshpande, Zolotarjova, Quimbo, and Willey are employees of HealthCore. Kern and Cochetti are former employees of HealthCore. Quimbo, Cochetti, and Willey are shareholders of Anthem. HealthCore receives funding from multiple pharmaceutical companies to perform various research studies outside of the submitted work. The preliminary results of this study were presented at AMCP Nexus 2015; March 26-29, 2015; Orlando, FL, and the International Society for Pharmacoeconomics and Outcomes Research (ISPOR) 2017 Conference; May 20-24, 2017; Boston, MA.

Collaborating on Data, Science, and Infrastructure: The 20-Year Journey of the Cancer Research Network

The Cancer Research Network (CRN) is a consortium of 12 research groups, each affiliated with a nonprofit integrated health care delivery system, that was first funded in 1998. The overall goal of the CRN is to support and facilitate collaborative cancer research within its component delivery systems. This paper describes the CRN's 20-year experience and evolution. The network combined its members' scientific capabilities and data resources to create an infrastructure that has ultimately supported over 275 projects. Insights about the strengths and limitations of electronic health data for research, approaches to optimizing multidisciplinary collaboration, and the role of a health services research infrastructure to complement traditional clinical trials and large observational datasets are described, along with recommendations for other research consortia.

Statin use and risk of multiple myeloma: An analysis from the cancer research network

Animal and human data suggest statins may be protective against developing multiple myeloma; however, findings may be biased by the interrelationship with lipid levels. We investigated the association between statin use and risk of multiple myeloma in a large US population, with an emphasis on accounting for this potential bias. We conducted a case-control study nested within 6 US integrated healthcare systems participating in the National Cancer Institute-funded Cancer Research Network. Adults aged ≥40 years who were diagnosed with multiple myeloma from 1998-2008 were identified through cancer registries (N = 2,532). For each case, five controls were matched on age, sex, health plan, and membership duration prior to diagnosis/index date. Statin prescriptions were ascertained from electronic pharmacy records. To address potential biases related to lipid levels and medication prescribing practices, multivariable marginal structural models were used to model statin use (≥6 cumulative months) and risk of multiple myeloma, with examination of multiple latency periods. Statin use 48-72 months prior to diagnosis/index date was associated with a suggestive 20-28% reduced risk of developing multiple myeloma, compared to non-users. Recent initiation of statins was not associated with myeloma risk (risk ratio range 0.90-0.99 with 0-36 months latency). Older patients had more consistent protective associations across all latency periods (risk ratio range 0.67-0.87). Our results suggest that the association between statin use and multiple myeloma risk may vary by exposure window and age. Future research is warranted to investigate the timing of statin use in relation to myeloma diagnosis.

The Cancer Research Network: a platform for epidemiologic and health services research on cancer prevention, care, and outcomes in large, stable populations

PURPOSE

The ability to collect data on patients for long periods prior to, during, and after a cancer diagnosis is critical for studies of cancer etiology, prevention, treatment, outcomes, and costs. We describe such data capacities within the Cancer Research Network (CRN), a cooperative agreement between the National Cancer Institute (NCI) and organized health care systems across the United States.

METHODS

Data were extracted from each CRN site's virtual data warehouse using a centrally written and locally executed program. We computed the percent of patients continuously enrolled ≥1, ≥5, and ≥10 years before cancer diagnosis in 2012-2015 (year varied by CRN site). To describe retention after diagnosis, we computed the cumulative percentages enrolled, deceased, and disenrolled each year after the diagnosis for patients diagnosed in 2000.

RESULTS

Approximately 8 million people were enrolled in ten CRN health plans on December 31, 2014 or 2015 (year varied by CRN site). Among more than 30,000 recent cancer diagnoses, 70 % were enrolled for ≥5 years and 56 % for ≥10 years before diagnosis. Among 25,274 cancers diagnosed in 2000, 28 % were still enrolled in 2010, 45 % had died, and 27 % had disenrolled from CRN health systems.

CONCLUSIONS

Health plan enrollment before cancer diagnosis was generally long in the CRN, and the proportion of patients lost to follow-up after diagnosis was low. With long enrollment histories among cancer patients pre-diagnosis and low post-diagnosis disenrollment, the CRN provides an excellent platform for epidemiologic and health services research on cancer incidence, outcomes, and costs.

Representativeness of breast cancer cases in an integrated health care delivery system

BACKGROUND

Integrated health care delivery systems, with their comprehensive and integrated electronic medical records (EMR), are well-poised to conduct research that leverages the detailed clinical data within the EMRs. However, information regarding the representativeness of these clinical populations is limited, and thus the generalizability of research findings is uncertain.

METHODS

Using data from the population-based California Cancer Registry, we compared age-adjusted distributions of patient and neighborhood characteristics for three groups of breast cancer patients: 1) those diagnosed within Kaiser Permanente Northern California (KPNC), 2) non-KPNC patients from NCI-designated cancer centers, and 3) those from all other hospitals.

RESULTS

KPNC patients represented 32 % (N = 36,109); cancer center patients represented 7 % (N = 7805); and all other hospitals represented 61 % (N = 68,330) of the total breast cancer patients from this geographic area during 1996-2009. Compared with cases from all other hospitals, KPNC had slightly fewer non-Hispanic Whites (70.6 % versus 74.4 %) but more Blacks (8.1 % versus 5.0 %), slightly more patients in the 50-69 age range and fewer in the younger and older age groups, a slightly lower proportion of in situ but higher proportion of stage I disease (41.6 % versus 38.9 %), were slightly less likely to reside in the lowest (4.2 % versus 6.5 %) and highest (36.2 % versus 39.0 %) socioeconomic status neighborhoods, and more likely to live in suburban metropolitan areas and neighborhoods with more racial/ethnic minorities. Cancer center patients differed substantially from patients from KPNC and all other hospitals on all characteristics assessed. All differences were statistically significant (p < .001).

CONCLUSIONS

Although much of clinical research discoveries are based in academic medical centers, patients from large, integrated medical centers are likely more representative of the underlying population, providing support for the generalizability of cancer research based on electronic data from these centers.

Cervical cancer screening and follow-up in 4 geographically diverse US health care systems, 1998 through 2007

BACKGROUND

Cervical cancer screening and follow-up guidelines have changed considerably in recent years, but to the authors' knowledge few published reports exist to estimate the impact of these changes in community-based settings. The authors examined the patterns and results of cervical cancer testing and follow-up over a decade in 4 geographically diverse US health care systems to inform the future evaluation of changes resulting from increased uptake of the human papillomavirus (HPV) vaccination.

METHODS

The authors studied women aged 21 to 65 years who were members of one of these health systems at any time between 1998 and 2007. Data were collected and standardized across sites, based on receipt of Papanicolaou (Pap) and HPV tests, HPV vaccination, cervical biopsies, and treatment of cervical dysplasia. Annual rates (per 1000 person-years) of Pap testing, HPV testing, and cervical biopsy and treatment procedures were calculated. Screening intervals and trends in the results of screening Pap tests and cervical biopsies also were examined.

RESULTS

Pap testing rates decreased (from 483 per 1000 person-years in 2000 to 412 per 1000 person-years in 2007) and HPV testing rates increased over the study period. Screening frequency varied across health care systems, and many women continued to receive annual testing. All 4 sites moved to less frequent screening over the study period without marked changes in the overall use of cervical biopsy or treatment.

CONCLUSIONS

Despite differences over time and across health plans in rates of cervical cancer testing and follow-up cervical procedures, the authors found no notable differences in Pap test results, diagnostic or treatment procedure rates, or pathological outcomes. This finding suggests that the longer screening intervals did not lead to more procedures or more cancer diagnoses.

Pilot Study of a Novel Population of Head and Neck Cancer Patients in the CRN

Head and neck cancers are challenging to study because of their relatively low incidence. A large, novel population of patients with head and neck cancers that has not been previously studied and distinct from the referral populations has been identified. The National Cancer Institute–funded Health Maintenance Organization Cancer Research Network is a consortium of 15 nonprofit research centers based in large, vertically integrated health care delivery organizations across the United States. They represent a geographically, racially, and socioeconomically diverse population. These community-based organizations provide care to approximately 10 million individuals and 57,692 patients with head and neck cancer. This pilot study and preliminary analysis seeks to demonstrate the potential this network holds as a resource for clinical cancer research and to identify it as a unique resource that allows for more detailed queries than are currently available to researchers.

Cancer research network: using integrated healthcare delivery systems as platforms for cancer survivorship research

INTRODUCTION

Much progress has been made in cancer survivorship research, but there are still many unanswered questions that can and need to be addressed by collaborative research consortia.

METHODS

Since 1999, the National Cancer Institute-funded HMO Cancer Research Network (CRN) has engaged in a wide variety of research focusing on cancer survivorship. With a focus on thematic topics in cancer survivorship, we describe how the CRN has contributed to research in cancer survivorship and the resources it offers for future collaborations.

RESULTS

We identified the following areas of cancer survivorship research: surveillance for and predictors of recurrences, health care delivery and care coordination, health care utilization and costs, psychosocial outcomes, cancer communication and decision making, late effects of cancer and its treatment, use of and adherence to adjuvant therapies, and lifestyle and behavioral interventions following cancer treatment.

CONCLUSIONS

With over a decade of experience using cancer data in community-based settings, the CRN investigators and their collaborators are poised to generate evidence in cancer survivorship research.

IMPLICATIONS FOR CANCER SURVIVORS

Collaborative research within these settings can improve the quality of care for cancer survivors within and beyond integrated health care delivery systems.

Ten-year risk of diagnostic mammograms and invasive breast procedures after breast-conserving surgery for DCIS

BACKGROUND

Breast-conserving surgery (BCS) is the most common treatment for ductal carcinoma in situ (DCIS); however, how often women experience subsequent diagnostic evaluations over time is not known.

METHODS

We identified 2948 women with DCIS who were treated with BCS from 1990 to 2001 and followed for up to 10 years at three integrated health-care delivery systems. We calculated the percentages of diagnostic mammograms and ipsilateral invasive procedures following the initial breast excision to treat DCIS, estimated the 10-year cumulative incidence of these procedures, and determined hazard ratios for both types of procedures with Cox regression modeling. All statistical tests were two-sided.

RESULTS

Over 10 years, 907 women (30.8%) had 1422 diagnostic mammograms and 1813 (61.5%) had 2305 ipsilateral invasive procedures. Diagnostic mammograms occurred in 7.3% of women in the first 6 months and continued at a median annual rate of 4.3%. Ipsilateral invasive procedures occurred in 51.5% of women in the first 6 months and continued at a median annual rate of 3.1%. The estimated 10-year cumulative risk of having at least one diagnostic mammogram after initial DCIS excision was 41.0% (95% confidence interval [CI] = 38.5% to 43.5%); at least one invasive procedure, 65.7% (95% CI = 63.7% to 67.8%); and either event, 76.1% (95% CI = 74.1% to 78.1%). Excluding events in the first 6 months following initial DCIS excision, corresponding risks were 36.4% (95% CI = 33.8% to 39.0%) for diagnostic mammograms, 30.4% (95% CI = 26.9% to 33.8%) for invasive procedures, and 49.5% (95% CI = 45.6% to 53.5%) for either event.

CONCLUSIONS

Women with DCIS treated with BCS continue to have diagnostic and invasive breast procedures in the conserved breast over an extended period. The frequency of ongoing diagnostic breast evaluations should be included in discussions about treatment.

Screening mammography use among current, former, and never hormone therapy users may not explain recent declines in breast cancer incidence

BACKGROUND

Screening mammography and invasive breast cancer and ductal carcinoma in situ (DCIS) rates recently declined in the United States; screening mammography declines among former hormone therapy (HT) users may be an important contributor. We longitudinally examined women and compared mammography use and cancer rates by HT use [current, former, and never users of estrogen + progestin (EPT) and estrogen only (ET)].

METHODS

We studied 163,490 unique women aged 50-79 years enrolled in Group Health (Washington State) between 1994-2009. Electronic data identified HT dispensing, mammography use and incident breast cancer diagnosis. We calculated age-adjusted screening compliance as a time-varying variable (screened-within-the-past-26 months, yes/no).

RESULTS

Before 2002, screening compliance differed significantly by HT with current EPT users having the highest rates (83%) followed by former EPT (77%), current ET (77%), former ET (72%), and never users (56%). After 2002, screening was high (∼81%) among current and former EPT and ET users and significantly increased among never users (∼62%). Invasive breast cancer rates significantly decreased over the whole study period (P(trend) ≤ 0.05) for all HT users, except EPT current users (P(trend) = 0.68); DCIS rates did not change in any group.

CONCLUSIONS

Differential screening mammography rates by HT use do not explain invasive breast cancer incidence declines. Our data suggest discontinuing HT has an immediate effect on breast cancer rates, lending support to the mechanism that cessation leads to tumor regression.

IMPACT

Studies examining the influence of a changing exposure in relation to outcomes should account for varying exposures, individuals' characteristics, as well as screening methods and frequency.

Mental health service utilization among long-term cancer survivors

BACKGROUND

Although generally well-adjusted, a subset of cancer survivors have been observed to experience ongoing psychological distress. There has been little study of mental health care utilization among cancer survivors, however.

MATERIALS AND METHODS

We identified a cohort of cancer survivors continuously enrolled in a managed care organization who were alive at least 5 years after a diagnosis of cancer and without evidence of recurrence. We matched them each to four controls without a history of cancer based on age, sex, and clinic location. We then obtained their health care claims and evaluated their health care utilization along with explanatory variables such as cancer type, non-cancer comorbid conditions, and types of health care providers seen.

RESULTS

One thousand one hundred eleven survivors were matched to 4,444 controls. Cancer survivors were more likely than controls to have a mental health diagnosis (33.5 vs. 30.3%, p < 0.05), accounted for mostly by anxiety and sleep disorders. Other predictors of receiving any mental health diagnosis on multivariable analysis were age: Odds Ratio (OR) 0.99 (95% Confidence Interval (CI) 0.99-0.99) for each year; male sex: OR 0.87 (95% CI 0.77-0.99), and comorbidity: OR 0.56 (95% CI 0.49-0.64) for each point on the Charlson scale. The largest subgroup was breast cancer survivors, who were more likely to have a diagnosis of major affective disorder than were female survivors of other cancers. Survivors had more outpatient medical visits in general (mean 27.4 versus 21.9, p < 0.001) and specifically more mental health visits (2.5 versus 1.7 on average, p < 0.001) than did controls.

CONCLUSION

Long-term cancer survivors have increased rates of mental health care utilization. Given the size and growth of the survivor population, this represents a significant amount of ongoing distress with important health resource allocation implications for policy makers.

Disenrollment from Medicare managed care among beneficiaries with and without a cancer diagnosis

BACKGROUND

Medicare managed care may offer enrollees lower out-of-pocket costs and provide benefits that are not available in the traditional fee-for-service Medicare program. However, managed care plans may also restrict provider choice in an effort to control costs. We compared rates of voluntary disenrollment from Medicare managed care to traditional fee-for-service Medicare among Medicare managed care enrollees with and without a cancer diagnosis.

METHODS

We identified Medicare managed care enrollees aged 65 years or older who were diagnosed with a first primary breast (n = 28 331), colorectal (n = 26 494), prostate (n = 29 046), or lung (n = 31 243) cancer from January 1, 1995, through December 31, 2002, in Surveillance, Epidemiology, and End Results (SEER) cancer registry records linked with Medicare enrollment files. Cancer patients were pair-matched to cancer-free enrollees by age, sex, race, and geographic location. We estimated rates of voluntary disenrollment to fee-for-service Medicare in the 2 years after each cancer patient's diagnosis, adjusted for plan characteristics and Medicare managed care penetration, by use of Cox proportional hazards regression.

RESULTS

In the 2 years after diagnosis, cancer patients were less likely to disenroll from Medicare managed care than their matched cancer-free peers (for breast cancer, adjusted hazard ratio [HR] for disenrollment = 0.78, 95% confidence interval [CI] = 0.74 to 0.82; for colorectal cancer, HR = 0.84, 95% CI = 0.80 to 0.88; for prostate cancer, HR = 0.86, 95% CI = 0.82 to 0.90; and for lung cancer, HR = 0.81, 95% CI = 0.76 to 0.86). Results were consistent across strata of age, sex, race, SEER registry, and cancer stage.

CONCLUSION

A new cancer diagnosis between 1995 and 2002 did not precipitate voluntary disenrollment from Medicare managed care to traditional fee-for-service Medicare.

Survivorship research based in integrated healthcare delivery systems: the Cancer Research Network

BACKGROUND

Integrated healthcare delivery systems present unique opportunities for cancer survivorship research. The National Cancer Institute funds the Cancer Research Network (CRN) to leverage these capabilities for all types of cancer research, including survivorship.

METHODS

The authors gathered information from a recent CRN funding application, Survivorship Interest Group materials, the CRN website, and published articles. CRN studies were selected to illustrate diverse topics and a variety of data-collection approaches.

RESULTS

The 14 systems that participate in the CRN provide care for approximately 10.8 million individuals of all ages and racial/ethnic backgrounds, for whom approximately 38,000 new cancer diagnoses were made in 2005. CRN systems have the ability to use existing data and collect new data on patients, providers, and organizations through well established research centers staffed by independent scientists. Of the 45 funded and 2 pending CRN grant applications as of November 30, 2007, 21 include aspects related to cancer survivorship. These studies have examined clinical trial participation, patterns of care, age and racial/ethnic disparities, diffusion of clinical trial findings, treatment outcomes, surveillance, and end-of-life and palliative care. Breast, colorectal, lung, ovarian, and prostate cancers have been the focus of these studies. Results of these studies have been published widely in leading journals.

CONCLUSIONS

Completed and ongoing CRN survivorship studies provide a strong foundation for future studies. Scientists from all institutional affiliations are welcome to approach the CRN with ideas and are encouraged to allow ample time to establish collaborative relationships and design rigorous studies.

Current Trends in Pharmacy Benefit Designs: A Threat to Disease Management in Chronic Complex Diseases

With a focus on those patients who are candidates for treatment with biologic agents, we review the impact that current pharmacy benefit trends have on patients with chronic complex diseases and how they affect opportunities for disease management in this unique patient population. Dramatic increases in health care costs have led to a variety of strategies to manage cost. Many of these strategies either limit access to care or increase the patient's responsibility for choosing and paying for care, especially for medications. These strategies have a disproportionate impact on patients with chronic complex diseases, particularly those who require the use of biologic medications. A fundamental prerequisite of disease management has been coverage of disease-modifying therapies. If current pharmacy benefit trends continue, unintended consequences will likely occur including lost opportunities for disease management. Current pharmacy benefit trends could adversely impact disease management, particularly for patients requiring the use of biologic agents. Health plans should consider innovative benefit designs that reflect an appropriate level of cost sharing across all key stake-holders, ensuring appropriate access to needed therapies. Additional research is needed to clarify the value of newer approaches to therapies or benefit design changes.