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Journal of Clinical Oncology, Vol 23, No 36 (December 20), 2005: pp. 9187-9197
© 2005 American Society of Clinical Oncology.
DOI: 10.1200/JCO.2005.01.7418

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Health Insurance Coverage in Survivors of Childhood Cancer: The Childhood Cancer Survivor Study

Elyse R. Park, Frederick P. Li, Yan Liu, Karen M. Emmons, Arthur Ablin, Leslie L. Robison, Ann C. Mertens

From the Massachusetts General Hospital/Harvard Medical School; Dana-Farber Cancer Institute/Harvard School of Public Health, Boston, MA; Fred Hutchinson Cancer Research Center, Seattle, WA; University of California-San Francisco, San Francisco, CA; Department of Pediatrics, University of Minnesota, Minneapolis, MN

Address reprint requests to Elyse R. Park, PhD, Massachusetts General Hospital/Harvard Medical School, 50 Staniford St, 9th floor, Boston, MA 02114; e-mail: epark{at}partners.org


    ABSTRACT
 TOP
 ABSTRACT
 INTRODUCTION
 PATIENTS AND METHODS
 RESULTS
 DISCUSSION
 Appendix
 Authors' Disclosures of...
 REFERENCES
 
PURPOSE: To examine the prevalence and predictors of health insurance coverage and the difficulties obtaining coverage in a large cohort of childhood cancer survivors.

PATIENTS AND METHODS: This study included 12,358 5-year survivors of childhood cancer and 3,553 sibling controls participating in the Childhood Cancer Survivor Study. Data were collected by surveys distributed in 1994 (baseline) and 2000 (follow-up).

RESULTS: At baseline, 83.9% of adult survivors, compared with 88.3% of siblings, had health insurance coverage (P < .01); 6 years later, small but significant survivor-sibling differences remained (88% v 91%; P < .01). Twenty-nine percent of survivors reported having had difficulties obtaining coverage, compared with only 3% of siblings (P < .01). In multivariate analysis of survivors 18 years of age or older, factors associated with being uninsured included younger age at diagnosis (diagnosis age of 0 to 4 years; odds ratio [OR] = 1.7; 95% CI, 1.3 to 2.2), male sex (OR = 1.3; 95% CI, 1.2 to 1.5), age at baseline survey (age 22 to 24 years; OR = 1.6; 95% CI, 1.2 to 2.1), lower level of attained education (less than high school, OR = 2.6, 95% CI, 2.1 to 3.3; high school graduate, OR = 2.1, 95% CI, 1.8 to 2.5), income less than $20,000 (OR = 5.6, 95% CI, 4.5 to 7.1), marital status (widowed/divorced/separated; OR = 1.3; 95% CI, 1.1 to 1.6), smoking status (current smoker, OR = 2.0, 95% CI, 1.7 to 2.3; former smoker, OR = 1.4, 95% CI, 1.2 to 1.8), and treatment that included cranial radiation (OR = 1.3, 95% CI, 1.0 to 1.6).

CONCLUSION: Compared with siblings, adult survivors of childhood cancer had significantly lower rates of health insurance coverage and more difficulties obtaining coverage. Since lack of coverage likely has serious health and financial implications for this at-risk population, any disparity in availability and quality of coverage is of great concern.


    INTRODUCTION
 TOP
 ABSTRACT
 INTRODUCTION
 PATIENTS AND METHODS
 RESULTS
 DISCUSSION
 Appendix
 Authors' Disclosures of...
 REFERENCES
 
Adult survivors of childhood cancer are increasing in number due to successes in cancer therapy in recent decades. The overall 5-year survival rate for patients diagnosed with cancer before age 20 years is now 78%; 10-year survival is at 70%.1 Because these individuals are at risk of long-term complications of therapy, including second primary cancers,2-5 they need close medical surveillance throughout life.6 Thus, health insurance is an important issue for childhood cancer survivors. Unfortunately, the literature suggests that they have difficulties in both acquiring and keeping health insurance.7-14

Earlier reports have found that 5% to 21% of survivors are uninsured and that 2% to 25% of survivors have been denied health insurance,7-9,12 and a number of studies have demonstrated survivor-sibling differences in coverage.9,14 Most existing studies date from the late 1980s and early 1990s and do not reflect recent changes in legislation (such as the Americans with Disabilities Act [ADA] of 1990) and in the structure of health care reimbursement. Two more recent single-institution studies of leukemia survivors found that 14% to 25% were uninsured, suggesting that insurability has changed little in this population. Unfortunately, the small sample sizes of published studies have resulted in limited power to explore predictive relationships.

The Childhood Cancer Survivor Study (CCSS), a multisite retrospective cohort study, provided an opportunity to examine the prevalence of health insurance coverage and difficulties obtaining coverage within a large cohort of childhood cancer survivors and their siblings, who served as controls. The objectives of the current study are to: (1) compare the prevalence of health insurance coverage and difficulties in obtaining insurance among childhood cancer survivors and siblings; (2) compare quality and sources of coverage for survivors and siblings; (3) assess survivors' cancer history, sociodemographic factors, and smoking status as predictors of coverage and difficulties obtaining coverage; and (4) assess changes over time in health insurance coverage status and in sources of coverage.


    PATIENTS AND METHODS
 TOP
 ABSTRACT
 INTRODUCTION
 PATIENTS AND METHODS
 RESULTS
 DISCUSSION
 Appendix
 Authors' Disclosures of...
 REFERENCES
 
Study Population
CCSS is a multi-institutional study of individuals diagnosed between 1970 and 1986, before age 21 years, with leukemia, CNS malignancies, Hodgkin's disease, non-Hodgkin's lymphoma, kidney tumor, neuroblastoma, soft tissue sarcoma, or bone cancer who survived at least 5 years. Details of subject recruitment and data collection procedures have been reported elsewhere.15,16 In brief, eligible survivors were identified through medical records and clinic lists at 26 centers in the United States and Canada. Eligible subjects were contacted by their treating center and mailed an age-specific baseline survey to be completed by those who were 18 years or older at enrollment and by parents of those younger than 18 years. The baseline survey was distributed from 1994 to 1998. Of 20,602 eligible 5-year survivors, 3,035 were lost to follow-up, 3,197 did not participate, and 14,370 (81%) completed a baseline survey. A random sample of participating survivors (n = 4,782) was selected and asked to contact their sibling closest in age to inform them about the study and ask them to participate. Of these, 3,846 sibling controls (80%) completed a baseline survey, 33 were lost to follow-up, and 609 chose not to participate. After excluding Canadian residents (who have government-provided universal health care) and the deceased, baseline survey data included 12,358 survivors (86%) and 3,553 sibling controls (92%) who responded to the questions regarding health insurance coverage.

A follow-up survey was distributed to all living participants from 2000 to 2002. Three insurance questions from the baseline were again asked. At the time of this analysis, follow-up data from 10,324 survivors and 2,518 siblings were available; longitudinal analysis included data from 9,593 survivors and 2,329 sibling controls who were not Canadian and who responded to whether or not they had health insurance coverage.

Measures
We analyzed responses to the CCSS baseline survey regarding health insurance status, cancer factors, and other sociodemographic and health variables, including questions about present insurance status and difficulties obtaining insurance. Participants who reported being insured were asked about type of coverage, number of policies, exclusions, and extra premium charges related to their health history. At follow-up, participants were asked if they currently had coverage; those who had coverage were asked how it was provided and if it contained any exclusions or restrictions due to their health history. Based on previous research8,17 and on factors likely to affect ability to obtain health insurance, we selected the following categories of predictor variables: (1) cancer-related factors (age at diagnosis, primary diagnosis, treatment with chemotherapy and/or radiation therapy, recurrence of cancer, second malignancy, and years since diagnosis), (2) sociodemographic factors (sex, age, marital status, household income, education level, and employment), and (3) tobacco use.

Analyses
Responses from the sibling cohort were compared with age-specific data available from the Medical Expenditure Panel Survey.18 The sibling cohort was found to have prevalence rates of insurance coverage comparable to national rates. Thus, direct comparison of survivors with siblings was conducted since both groups were surveyed during the same period, and the extensive socioeconomic data collected enabled adjustment for potential confounding factors. For the survivor-sibling comparisons, we conducted separate analyses of participants younger than 18 years at baseline and those 18 years and older. Survivors and siblings were initially compared with respect to the outcomes by descriptive tables using {chi}2 test, or Fisher's exact test when {chi}2 was not appropriate. The same approach was used within age subgroups to evaluate survivor-sibling differences for sources of coverage. Univariate and multiple logistic regressions were used to assess independent/explanatory variables. Multiple logistic regression models were constructed using variables with P < .10 in the univariate analysis. Potential within-family correlations were accounted for by the generalized-estimating-equation modification of the logistic regression.19


    RESULTS
 TOP
 ABSTRACT
 INTRODUCTION
 PATIENTS AND METHODS
 RESULTS
 DISCUSSION
 Appendix
 Authors' Disclosures of...
 REFERENCES
 
A high proportion of survivors and siblings reported having health insurance. Among those younger than 18 years at baseline, 93.3% of survivors and 94.2% of siblings reported having coverage, while 83.9% of survivors and 88.3% of siblings 18 years and older had insurance.

Cancer-Related Characteristics Associated With Insurance Coverage Status Among Survivors
Table 1 presents cancer-related characteristics and health insurance coverage of survivors, stratified by age at baseline survey (< 18 years, ≥ 18 years). Of those younger than 18 years, the proportion insured differed according to cancer diagnosis. Survivors younger than 18 years whose original cancer had recurred were significantly more likely to be insured compared with those who had not had a recurrence; those who had received chemotherapy including an anthracycline were less likely to be insured than those who were not treated with anthracyclines.


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Table 1. Cancer Characteristics of Survivors Among Ages Younger Than 18 Years And Older Than 18 Years According to Health Insurance Coverage

 
Among survivors 18 years and older at baseline, original diagnosis of leukemia or non-Hodgkin's lymphoma, younger age at diagnosis of the original cancer, exposure to chemotherapy, or radiation therapy involving the head or chest were associated with a significantly lower likelihood of being insured. Survivors older than 18 years whose original cancer had recurred or who developed a second neoplasm were significantly more likely to have insurance than those who had not experienced these events.

Sociodemographic Characteristics Associated With Insurance Coverage Status Among Survivors and Siblings
Among survivors and siblings younger than 18 years at baseline, the proportion insured differed significantly according to race/ethnicity, with a higher proportion of non-Hispanic black subjects being uninsured (9.5%) compared with non-Hispanic white subjects (6.0%) and Hispanics (7.6%; Table 2). Among survivors 18 years or older at baseline, current age of 22 to 24 years, lower level of educational attainment, male sex, marital status (unmarried), and smoking status (current smoker) were all associated with a decreased likelihood of being insured (Table 3). Black race was associated with a decreased likelihood of being insured in survivors only. For both age cohorts, the likelihood of being insured increased as household income increased, among both survivors and siblings.


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Table 2. Characteristics of Survivors and Siblings Younger Than Age 18 Years According to Health Insurance Coverage

 

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Table 3. Characteristics of Survivors and Siblings 18 Years and Older According to Health Insurance Coverage

 
Difficulties Obtaining Insurance Coverage
Figure 1 illustrates striking differences between survivors and siblings in reported difficulties obtaining health insurance. Overall, 29% of survivors and 3% of siblings reported difficulties in obtaining coverage; significant differences are evident across age groups. Both survivors and siblings who were uninsured were more likely to report difficulties obtaining coverage compared with those who were insured (P < .01; data not shown).



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Fig 1. Reported difficulties in obtaining health insurance.

 
Quality of Insurance Coverage for Survivors and Siblings
Survivors in both age groups were significantly more likely than siblings to report exclusions/restrictions on their policies. Of survivors under age 18, 4.9% reported exclusions, and 16.1% did not know if their policies contained exclusions, compared with 0.7% and 3.6%, respectively, of siblings (P < .01). Similarly, 4.4% of adult survivors reported exclusions, and 22.5% did not know, compared with 1.0% and 8.0%, respectively, of siblings (P < .01). Among survivors, 2% reported extra premium charges because of their health history, compared with 0.2% of siblings (P < .001).

Sources of Insurance Coverage Among Survivors and Siblings
As shown in Figure 2, fewer survivors than siblings received coverage through work (56% v 60%; P < .001) or through a parent's or spouse's policy (27% v 31%; P < .001). Significantly more survivors than siblings received health insurance coverage through Medicaid or public assistance (12% v 3%; P < .001). Approximately 79% of survivors and 82% of siblings younger than 18 years at baseline received coverage through their parents' employment. In the 18- to 21-year-old subgroup, 13% of survivors and 17% of siblings were covered through their own employment, while 57% of survivors and 61% of siblings were covered through a spouse or parent. Higher proportions of employer-provided coverage were seen in the older age groups of both survivors and siblings. Survivors were significantly less likely to have employer-provided coverage than siblings, except for those in the 35+ age group. Survivor-sibling differences in employer-provided coverage were most pronounced among those 22 to 24 years old, with 43% of survivors, compared to 54% of siblings, receiving coverage through work (P < .001).



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Fig 2. Source of insurance coverage. (*), For patients younger than 18 years, employer signifies parent’s place of employment.

 
Predictors of Survivors Being Uninsured or Having Difficulties Obtaining Insurance
Among survivors younger than 18 years, factors associated with an increased likelihood of being uninsured (Table 4) included annual household income under $60,000 and, somewhat surprisingly, lack of recurrence of the original cancer. Factors associated with an increased likelihood of these individuals reporting difficulties obtaining insurance included recurrence of their original cancer, diagnosis of a subsequent premalignant or benign tumor, white non-Hispanic race, and annual household income less than $40,000.


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Table 4. Multivariate Analysis for Risk of Being Uninsured or Having Difficulties Obtaining Insurance Among Survivors Younger Than 18 Years

 
Among survivors older than 18 years, numerous factors predicted being uninsured (Table 5). Survivors who had been diagnosed with cancer earlier than age 15 years, male survivors, those with educational attainment less than college, those not married, those who had ever smoked, individuals with annual household incomes less than $60,000, those who did not develop a second malignancy or had a cancer recurrence, and those who received cranial radiation as part of their therapy, were significantly less likely to have health insurance coverage. CNS tumor survivors were significantly more likely to be insured than leukemia survivors (reference group). Factors significantly predictive of reported difficulties obtaining insurance included age greater than 15 years at original diagnosis, diagnosis of leukemia, occurrence of a second malignancy, and recurrence of original cancer. Individuals aged 18 to 21 years at baseline, males, college graduates, and those who reported annual household incomes greater than $60,000 were significantly less likely to report difficulties.


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Table 5. Multivariate Analysis for Risk of Being Uninsured or Having Difficulties Obtaining Insurance Among Survivors 18 Years of Age or Older

 
Multivariate Comparison of Uninsured Adult Survivors and Siblings
Employed male survivors were 1.3 times more likely to be uninsured compared with employed male siblings (Table 6). Unemployed females were 2.8 times more likely to be uninsured compared with unemployed siblings. Among married individuals, employed males and unemployed females were significantly less likely to be insured than their sibling counterparts (Table 6).


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Table 6. Multivariate Analysis for Risk of Being Uninsured Among Individuals 18 Years of Age or Older: Comparison of Survivors to Siblings

 
Follow-Up Survey
Data from the follow-up survey were used to determine changes in insurance coverage over time. At follow-up, the percentages of survivors (88%) and siblings (91%) who had health insurance coverage increased slightly but remained significantly different (P < .001). More survivors (19.2%) than siblings (10.2%) did not know if their plan contained any exclusions (P < .001; data not shown).

Sources of coverage at follow-up showed similar patterns to those at baseline for all age groups. Compared with siblings, the proportion of survivors who reported being covered through employment or a parent's or spouse's policy was significantly smaller while the proportion who reported being covered through Medicaid or public assistance was significantly greater.


    DISCUSSION
 TOP
 ABSTRACT
 INTRODUCTION
 PATIENTS AND METHODS
 RESULTS
 DISCUSSION
 Appendix
 Authors' Disclosures of...
 REFERENCES
 
The CCSS is the largest and most extensively characterized cohort established to date for the study of late effects of childhood cancer and treatment. The majority of individuals in this cohort have now reached adulthood, making it is possible to investigate issues, like insurance coverage, important to adults.

In the United States, access to affordable health care is often contingent on reasonably priced health insurance. Long-term medical problems are well documented for childhood cancer survivors, and lack of insurance coverage may impede appropriate medical surveillance. A previous CCSS report found that survivors were significantly more likely than siblings to report adverse general health (11%) and mental health (17%), limitations on activities (13%), and functional impairments (12%).20 Adverse long-term health outcomes were common, with 44% of survivors reporting impairments in at least one of these areas. Impaired health status was most prevalent among females, those with lower educational attainment, and those with low household incomes. These factors have also been associated with having difficulties in obtaining health insurance coverage. Multivariate analyses demonstrated that lack of insurance was an independent predictor of adverse outcomes in the areas of general health, mental health, and pain. Other CCSS analyses have found lack of coverage to be associated with lower incidence of ongoing medical care including any general medical contact, general physical examination, or cancer-related medical visits,21 decreased utilization of dental services,22 and lower rates of cancer screening including clinical breast exam and pap test.23

In 1990, the ADA was passed, prohibiting employment and insurance discrimination against individuals with disabilities. Prior its enactment, evidence indicated that childhood cancer survivors experienced discrimination in both these areas.24 It could be expected that rates of health insurance coverage among survivors would be higher after enactment of the ADA than before, and that disparities in insurance coverage between survivors and their siblings would be low. While CCSS data cannot be used to address the potential impact of the ADA since it does not span the pre- and post-1990 time period, our findings do document that a sizable proportion of survivors lack insurance, and that many continue to experience difficulties obtaining coverage.

In previous studies, health insurance coverage among survivors ranged from 75% to 95%. Our findings that adult survivors and siblings differed significantly with respect to health care coverage and to difficulties obtaining health insurance were similar to those of previous studies.9,14,25 At follow-up, 88% of survivors, compared with 91% of siblings, were insured—a significant, if small, difference. Any deficit in coverage is not optimal in light of these survivors' ongoing needs for surveillance.

Employment status can be closely related to health insurance coverage. A recent study of CCSS pediatric lower extremity bone tumor survivors demonstrated that, compared with siblings, amputees had significant deficits in employment.11 Other recent studies among survivors found employment status differences related to specific types of treatment13 and to specific cancer diagnoses.29 Employment discrimination has been reported by survivors.26 A study conducted in the 1960s and early 1970s found that 45% of adult survivors of childhood cancer had been denied employment because of their cancer history.27 Studies conducted in the 1980s reported employment-related discrimination (as measured by, eg, entry into the uniformed services),8,12,28 and survivor-sibling employment differences have been seen.9

We sought not only to determine the extent to which survivors were insured but also to characterize their coverage with respect to source(s) and limitations, compared with coverage obtained by their siblings. Jacobson Vann et al25 in the early 1990s explored health insurance coverage of 182 childhood cancer survivors and 101 siblings. They found that fewer survivors had employer-provided health insurance, and more were covered by their parents' plans, with survivors being more likely to be denied insurance and to have policies that excluded care for pre-existing medical conditions. Our study found that significantly fewer survivors than siblings were covered through their work or through a parent or spouse. We also found that, at both baseline and follow-up, significantly more survivors than siblings were insured through Medicaid or public assistance programs.

To our knowledge, no previous studies have examined the issues of insurance policy restrictions or extra premiums charged to childhood cancer survivors, and no recent studies have examined exclusions for pre-existing conditions. In the CCSS cohort, we found that survivors were more likely than siblings to have such exclusions/restrictions and extra charges associated with their coverage. Of concern, many adult survivors did not know if their policy contained any exclusions/restrictions or charges.

The information used in this analysis was obtained as part of a more extensive data collection process. Thus, items regarding insurance did not include a level of detail sufficient to address some issues. Participants were not asked whether they tried to obtain insurance coverage or when. We lack detailed employment data, which would have helped clarify our findings since some participants might work in small companies where insurance benefits are not offered, or they might be self-employed. Data were not available regarding characteristics of group policies that survivors and siblings may participate in, which could aid in assessing quality of coverage.

In summary, we found significant differences between childhood cancer survivors and their siblings with respect to health insurance coverage status and coverage sources and identified factors associated with health insurance deficits among survivors. The picture that emerged of the "high-risk" individual is complex: cancer-related, sociodemographic, and health behavior factors all seem to impact insurance issues. The fact that many survivors did not know if their policies included extra charges/exclusions because of their health history demonstrates a need and an opportunity to increase survivors' knowledge about their insurance coverage.

Health insurance is an important component in receiving timely access to medical care. Gaps in coverage, particularly among children, can have a substantial negative impact on access to care and to prescription medications.30 Health care providers, formulators of public policy, and survivors themselves will all benefit from an increased understanding of the ways in which health insurance-related issues affect childhood cancer survivors. Future research directions should include elucidating the types of coverage exclusions survivors commonly experience, determining the extent to which survivors' employment choices are limited because of insurance-related concerns, and exploring strategies for decreasing barriers to full coverage among this vulnerable and expanding population.


    Appendix
 TOP
 ABSTRACT
 INTRODUCTION
 PATIENTS AND METHODS
 RESULTS
 DISCUSSION
 Appendix
 Authors' Disclosures of...
 REFERENCES
 
The Appendix is included in the full-text version of this article, available online at www.jco.org. It is not included in the PDF (via Adobe® Acrobat Reader®) version.

CCSS Institutions and Investigators

University of California-San Francisco, CA—Arthur Ablin, MD*

University of Alabama, Birmingham, AL—Roger Berkow, MD*

International Epidemiology Institute, Rockville, MD—John Boice, ScD{ddagger}

University of Washington, Seattle, WA—Norman Breslow, PhD{ddagger}

UT-Southwestern Medical Center at Dallas, TX—Kevin Oeffinger, MD*{ddagger}, George R. Buchanan, MD{dagger}

Dana-Farber Cancer Institute, Boston, MA—Lisa Diller, MD*, Holcombe Grier, MD{dagger}, Frederick Li, MD{ddagger}

Texas Children's Center, Houston, TX—Zoann Dreyer, MD*

Children's Hospital and Medical Center, Seattle, WA—Debra Friedman, MD, MPH*, Thomas Pendergrass, MD{dagger}

Roswell Park Cancer Institute, Buffalo, NY—Daniel M. Green, MD*{ddagger}

Hospital for Sick Children, Toronto, ON—Mark Greenberg, MB, ChB*

St. Louis Children's Hospital, MO—Robert Hayashi, MD*, Teresa Vietti, MD{dagger}

St. Jude Children's Research Hospital, Memphis, TN—Melissa Hudson, MD*{ddagger}

University of Michigan, Ann Arbor, MI—Raymond Hutchinson, MD*

Stanford University School of Medicine, Stanford, CA—Neyssa Marina, MD*, Michael P. Link, MD {dagger}, Sarah S. Donaldson, MD{ddagger}

Emory University, Atlanta, GA—Lillian Meacham, MD*

Children's Hospital of Philadelphia, PA—Anna Meadows, MD*{ddagger}, Bobbie Bayton{ddagger}

Children's Hospital, Oklahoma City, OK—John Mulvihill, MD{ddagger}

Children's Hospital, Denver, CO—Brian Greffe*, Lorrie Odom, MD{dagger}

Children's Health Care-Minneapolis, MN—Maura O'Leary, MD*

Columbus Children's Hospital, OH—Amanda Termuhlen, MD*, Frederick Ruymann, MD{dagger}, Stephen Qualman, MD{ddagger}

Children's National Medical Center, Washington, DC—Gregory Reaman, MD*, Roger Packer, MD{ddagger}

Children's Hospital of Pittsburgh, PA—A. Kim Ritchey, MD*, Julie Blatt, MD{dagger}

University of Minnesota, Minneapolis, MN—Leslie L. Robison, PhD*{ddagger}, Ann Mertens, PhD{ddagger}, Joseph Neglia, MD, MPH{ddagger}, Mark Nesbit, MD{ddagger},

Cincinnati Children's Hospital Medical Center, Cincinnati, OH—Stella Davies, MD, PhD{ddagger}

Children's Hospital Los Angeles, CA—Kathy Ruccione, RN, MPH*

Memorial Sloan-Kettering Cancer Center, New York, NY—Charles Sklar, MD*{ddagger}

National Cancer Institute, Bethesda, MD—Barry Anderson, MD{ddagger}, Peter Inskip, ScD{ddagger}

Mayo Clinic, Rochester, MN—W. Anthony Smithson, MD*, Gerald Gilchrist, MD{dagger}

The University of Texas M.D. Anderson Cancer Center, Houston, TX—Louise Strong, MD*{ddagger}, Marilyn Stovall, PhD{ddagger}

Riley Hospital for Children, Indianapolis, IN—Terry A. Vik, MD*, Robert Weetman, MD{dagger}

Fred Hutchinson Cancer Research Center, Seattle, WA—Wendy Leisenring, ScD*{ddagger}, John Potter, MD, PhD{dagger}{ddagger}

University of California-Los Angeles, Los Angeles, CA—Lonnie Zeltzer, MD*{ddagger}

University of Alberta, Edmonton, Alberta, Canada—Yutaka Yasui, PhD{ddagger}

*Institutional Principal Investigator

{dagger}Former Institutional Principal Investigator

{ddagger}Member, CCSS Steering Committee


    Authors' Disclosures of Potential Conflicts of Interest
 TOP
 ABSTRACT
 INTRODUCTION
 PATIENTS AND METHODS
 RESULTS
 DISCUSSION
 Appendix
 Authors' Disclosures of...
 REFERENCES
 
The authors indicated no potential conflicts of interest.


    NOTES
 
Supported by Grant U24 CA55727 from the National Cancer Institute, Bethesda, MD, and support provided to the University of Minnesota from the Children's Cancer Research Fund, Minneapolis, MN.

Other investigators and institutions participating in the Childhood Cancer Survivors Study are listed in the Appendix (available online only).

Authors' disclosures of potential conflicts of interest are found at the end of this article.


    REFERENCES
 TOP
 ABSTRACT
 INTRODUCTION
 PATIENTS AND METHODS
 RESULTS
 DISCUSSION
 Appendix
 Authors' Disclosures of...
 REFERENCES
 
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12. Hays DM, Landsverk J, Sallan SE: Educational, occupational, and insurance status of childhood cancer survivors in their fourth and fifth decade of life. J Clin Oncol 10:1397-1406, 1992[Abstract/Free Full Text]

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15. Mertens AC, Potter JD, Neglia JP, et al: Methods for tracing, contacting, and recruiting a cohort of survivors of childhood cancer. J Pediatr Hematol Oncol 19:212-219, 1997[CrossRef][Medline]

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17. Altman SH, Reinhardt UE, Shields A: The Future U.S. Healthcare System: Who will care for the poor and uninsured? Chicago, IL, Health Administration Press, 1998

18. Center for Cost Financing Studies: Medical Expenditure Panel Survey: Household component. Rockville, MD, Agency for Healthcare Research and Quality, 2000

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20. Hudson MM, Mertens AC, Yasui Y, et al: Health Status of Adults Who are Long-Term Childhood Cancer Survivors: A Report from the Childhood Cancer Survivor Study. JAMA 290:1583-1592, 2003[Abstract/Free Full Text]

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Submitted March 10, 2005; accepted September 22, 2005.


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