Previous studies found that uninsured and Medicaid insured cancer patients have poorer outcomes than cancer patients with private insurance. We examined the association between health insurance status and survival of New Jersey patients 18–64 diagnosed with seven common cancers during 1999–2004. Hazard ratios (HRs) with 95% confidence intervals for 5-year cause-specific survival were calculated from Cox proportional hazards regression models; health insurance status was the primary predictor with adjustment for other significant factors in univariate chi-square or Kaplan–Meier survival log-rank tests. Two diagnosis periods by health insurance status were compared using Kaplan–Meier survival log-rank tests. For breast, colorectal, lung, non-Hodgkin lymphoma (NHL), and prostate cancer, uninsured and Medicaid insured patients had significantly higher risks of death than privately insured patients. For bladder cancer, uninsured patients had a significantly higher risk of death than privately insured patients. Survival improved between the two diagnosis periods for privately insured patients with breast, colorectal, or lung cancer and NHL, for Medicaid insured patients with NHL, and not at all for uninsured patients. Survival from cancer appears to be related to a complex set of demographic and clinical factors of which insurance status is a part. While ensuring that everyone has adequate health insurance is an important step, additional measures must be taken to address cancer survival disparities.
Previous studies found that in the United States, uninsured and Medicaid insured patients with breast, cervical, colorectal, head and neck, lung, prostate or uterine cancer have higher mortality or lower survival than do patients with private insurance or Medicare, even after adjustment for other factors [
We examined the association between health insurance status and cause-specific survival from seven common cancers diagnosed in New Jersey (NJ) residents aged 18–64 using a high-quality population-based cancer registry and adjusting for other significant factors. We excluded patients aged 65 or older because nearly all are insured through Medicare. We also compared cancer survival by insurance status between two time periods. The cancers we examined, female breast (breast), cervical, colorectal, lung and bronchus (lung), non-Hodgkin lymphoma (NHL), prostate and urinary bladder (bladder), accounted for 61% of the incident cancers and 56% of cancer deaths among NJ residents during 2005–2009 [
The New Jersey State Cancer Registry (NJSCR) is the population-based cancer incidence registry that serves the state of NJ, with a diverse population of over 8.7 million people. The NJSCR has participated in the Centers for Disease Control and Prevention's National Program of Cancer Registries since it began and is a National Cancer Institute (NCI) Surveillance, Epidemiology and End Results (SEER) expansion registry. The NJSCR includes patient demographics and clinical information (e.g., date of diagnosis, stage at diagnosis, primary payer at diagnosis, or first course of treatment) on each cancer case. The primary site and histology of each case are coded to the International Classification of Diseases for Oncology (ICD-O), 3rd edition [
All first primary invasive breast, cervical, colorectal, lung, prostate, and bladder (also
Vital status in the NJSCR is updated annually through linkages with state and national death files, state taxation files, hospital discharge files, Medicare and Medicaid files, Social Security Administration Services for Epidemiologic Researchers and motor vehicle registration files. Additionally, hospitals are required to submit annual vital status updates on all cases they have reported. Completeness of vital status follow-up in December 2011 (when the study data file was prepared) for the 54,002 study cases was 97%, ranging from 92% for cervical cancer to 99% for lung cancer. Cause of death codes were obtained from the state and national death file in the NJSCR.
After linkage with NJ hospital discharge data using Link Plus (CDC software), 6.1% of the eligible cases (4.3% to 9.4% depending on cancer type) had unknown primary payer compared with 8.3% before the linkage. About 6% of the cases had been uninsured as the primary payer after the linkage versus 7% before the linkage.
Five-year cause-specific survival, the measure of cancer survival used in this study, is the probability of surviving a specific cause of death in the absence of other causes of death. Survival time in months for each case was calculated from the date of diagnosis to the date of death from any cancer or to 5 years after diagnosis if known to be alive then. Cases whose cause of death was not cancer or who were lost to follow-up were censored at that time. For each cancer type, associations between health insurance status and age, sex, race/ethnicity, census tract SES based on a deprivation index described below, marital status, and stage were assessed with chi-square tests.
Kaplan–Meier 5-year cause-specific survival curves with log-rank statistical significance tests were calculated for each cancer type by the above-listed variables as well as by insurance status. Hazard ratios (HRs) with 95% confidence intervals (CIs) for cause-specific survival within 5 years were calculated from Cox proportional hazards regression models; health insurance status was the primary predictor with adjustment for other statistically significant variables in the chi-square or Kaplan–Meier survival log-rank tests. The proportional hazards assumption was confirmed from the Kaplan–Meier survival curves for Medicaid insured and uninsured compared with privately insured patients [
Health insurance status based on primary payer was categorized as private, Medicaid, or uninsured; for the HRs, the private insurance status category was the referent. Age was categorized as: 18–39, 40–54, 55–64 except as 18–54 and 55–64 for prostate cancer due to very small numbers in the 18–39 age group; race/ethnicity as non-Hispanic white, non-Hispanic black, non-Hispanic API, Hispanic; marital status as married, not married (single, separated, divorced, widowed, unknown), and stage as SEER summary stage local, regional, distant, or unknown. SAS version 9.2 (SAS Institute Inc., Cary, NC) was used for all analyses.
As the NJSCR does not collect individual SES information, census tract SES measures from the U.S. Census for NJ were used to develop a standardized deprivation index using principle component analysis [
After exclusions, 54,002 cases remained of the 63,429 eligible cases; among the cases excluded were 217 cases ascertained by death certificate or autopsy report only and 8363 cases with Medicare, military, or unknown health insurance status. For each nonsex-specific cancer type, males represented 53% to 75% of the cases and the distribution of cases by age, race, ethnicity, marital status, and SES varied greatly (
Demographics, stage at diagnosis, and health insurance status by cancer type, New Jersey, 1999–2004,
| Breast ( | Cervical ( | Colorectal ( | Lung ( | NHL | Prostate ( | Bladder ( | |
|---|---|---|---|---|---|---|---|
| Sex | |||||||
| Male | – | – | 4,201 (56.4) | 4,359 (53.3) | 2,228 (57.3) | 11,842 (100) | 2,168 (75.4) |
| Female | 17,939 (100) | 1,832 (100) | 3,244 (43.6) | 3,826 (46.7) | 1,657 (42.7) | – | 706 (24.6) |
| Age | |||||||
| 18–39 | 1,927 (10.7) | 582 (31.7) | 563 (7.5) | 226 (2.7) | 712 (18.3) | 20 (0.2) | 123 (4.2) |
| 40–54 | 9,575 (53.4) | 900 (49.1) | 2,955 (39.7) | 2,884 (35.2) | 1,700 (43.8) | 3,039 (25.7) | 1,030 (35.8) |
| 55–64 | 6,438 (35.9) | 351 (19.2) | 3,928 (52.8) | 5,076 (62.0) | 1,474 (37.9) | 8,784 (74.2) | 1,722 (59.9) |
| Race/Ethnicity | |||||||
| NH | 13,524 (75.4) | 1,085 (59.2) | 5,279 (70.9) | 6,368 (77.8) | 2,811 (72.4) | 8,607 (72.7) | 2,514 (87.5) |
| NH black | 1,998 (11.1) | 319 (17.4) | 1,121 (15.1) | 1,168 (14.3) | 505 (13.0) | 2,044 (17.3) | 144 (5.0) |
| NH API | 838 (4.7) | 64 (3.5) | 332 (4.5) | 202 (2.5) | 146 (3.8) | 241 (2.0) | 63 (2.2) |
| Hispanic | 1,579 (8.8) | 364 (19.9) | 713 (9.6) | 447 (5.5) | 423 (10.9) | 950 (8.0) | 153 (5.3) |
| Marital status | |||||||
| Married | 11,802 (65.8) | 866 (47.3) | 5,020 (67.4) | 4,870 (59.5) | 2,435 (62.7) | 9,026 (76.2) | 2,055 (71.5) |
| Not married | 6,137 (34.2) | 966 (52.7) | 2,425 (32.6) | 3,315 (40.5) | 1,450 (37.3) | 2,816 (23.8) | 819 (28.5) |
| SES quartile | |||||||
| Quartile 1 | 6,366 (35.5) | 362 (19.8) | 2,137 (28.7) | 1,826 (22.3) | 1,191 (30.7) | 4,302 (36.3) | 939 (32.7) |
| Quartile 2 | 4,962 (27.7) | 407 (22.2) | 2,054 (27.6) | 2,294 (28.0) | 1,059 (27.3) | 3,104 (26.2) | 862 (30.0) |
| Quartile 3 | 3,917 (21.8) | 452 (24.7) | 1,815 (24.4) | 2,315 (28.3) | 881 (22.7) | 2,483 (21.0) | 708 (24.6) |
| Quartile 4 | 2,694 (15.0) | 611 (33.4) | 1,439 (19.3) | 1,750 (21.4) | 754 (19.4) | 1,953 (16.5) | 365 (12.7) |
| Stage | |||||||
| Local | 10,107 (56.3) | 920 (50.2) | 2,480 (33.3) | 1,128 (13.8) | 1,172 (30.2) | 9,903 (83.6) | 2,526 (87.9) |
| Regional | 6,617 (36.9) | 630 (34.4) | 3,066 (41.2) | 2,244 (27.4) | 600 (15.4) | 1,397 (11.8) | 183 (6.4) |
| Distant | 846 (4.7) | 175 (9.6) | 1,574 (21.1) | 4,380 (53.5) | 1,711 (44.0) | 265 (2.2) | 65 (2.3) |
| Unknown | 369 (2.1) | 107 (5.8) | 325 (4.4) | 433 (5.3) | 402 (10.3) | 277 (2.3) | 100 (3.5) |
| Insurance | |||||||
| Uninsured | 967 (5.4) | 320 (17.5) | 578 (7.8) | 822 (10.0) | 299 (7.7) | 590 (5.0) | 150 (5.2) |
| Medicaid | 591 (3.3) | 167 (9.1) | 300 (4.0) | 557 (6.8) | 210 (5.4) | 199 (1.7) | 76 (2.6) |
| Private | 16,381 (91.3) | 1,345 (73.4) | 6,567 (88.2) | 6,806 (83.2) | 3,376 (86.9) | 11,053 (93.3) | 2,648 (92.1) |
| Diagnosis period | |||||||
| 1999–2001 | 9,023 (50.3) | 921 (50.3) | 3,659 (49.1) | 4,137 (50.5) | 1,966 (50.6) | 5,835 (49.3) | 1,419 (49.4) |
| 2002–2004 | 8,916 (49.7) | 911 (49.7) | 3,786 (50.9) | 4,048 (49.5) | 1,919 (49.4) | 6,007 (50.7) | 1,455 (50.6) |
Non-Hodgkin lymphoma.
Non-Hispanic.
Asian/Pacific Islander.
Includes single, separated, divorced, widowed, and unknown marital status.
Highest SES quartile is quartile 1, lowest SES quartile is quartile 4.
Stage at diagnosis, local stage includes
Significant sex differences in insurance status occurred only for lung cancer, with higher proportions of men than women uninsured or Medicaid insured (
Estimated 5-year cause-specific survival was highest for prostate cancer (96.0%) and lowest for lung cancer (20.0%), with intermediate rates for breast (88.0%), bladder (87.4%), NHL (77.6%), cervical (73.0%), and colorectal (68.7%) cancer. For each cancer, uninsured and Medicaid insured patients had statistically significantly lower survival rates than privately insured patients; 5 to 19 and 10 to 22 percentage points lower, respectively, than the analogous privately insured patients' rates (
Five-year cause-specific survival rates by health insurance status for each cancer type, New Jersey, 1999–2004. The rates were significantly different by insurance status for each cancer type (Kaplan–Meier log-rank tests,
Women had a survival advantage over men for colorectal cancer, lung cancer, and NHL (
After adjustment for factors that were statistically significantly associated with survival (Kaplan–Meier survival log-rank tests) and/or insurance status (chi-square tests), uninsured patients had significantly higher risks of death within 5 years of diagnosis than privately insured patients for breast, colorectal, lung, NHL, prostate, and bladder cancers (HRs = 1.44, 1.41, 1.43, 1.69, 1.97, 1.76, respectively,
Hazard ratios and 95% confidence intervals within 5 years of cancer diagnosis by health insurance status, New Jersey, 1999–2004,
| Health insurance status | |||
|---|---|---|---|
| Cancer type | Medicaid HR (95% CI) | Uninsured HR (95% CI) | Private referent |
| Breast ( | 1.56 (1.29–1.88) | 1.44 (1.22–1.69) | 1 |
| Cervical ( | 1.32 (0.94–1.86) | 1.00 (0.75–1.34) | 1 |
| Colorectal ( | 1.57 (1.28–1.93) | 1.41 (1.20–1.66) | 1 |
| Lung ( | 1.21 (1.08–1.35) | 1.43 (1.31–1.57) | 1 |
| NHL | 1.48 (1.04–2.10) | 1.69 (1.29–2.23) | 1 |
| Prostate ( | 2.98 (1.92–4.64) | 1.97 (1.41–2.77) | 1 |
| Bladder ( | 1.37 (0.72–2.63) | 1.76 (1.14–2.71) | 1 |
Hazard ratios (HR) and 95% confidence intervals (95% CI) are from Cox proportional hazards regression models for cause-specific survival within 5 years of diagnosis as follows. Breast, cervical, prostate, and urinary bladder cancers adjusted for age, race/ethnicity, SES, marital status, and stage. Colorectal and lung cancers and non-Hodgkin lymphoma adjusted for the same variables plus sex.
Non-Hodgkin lymphoma.
Five-year survival improved between the 1999–2001 and 2002–2004 diagnosis periods for privately insured patients with breast cancer (
Five-year cause-specific survival rates by health insurance status and cancer type for two diagnosis periods, 1999–2001 and 2002–2004, New Jersey,
| Health insurance status | |||||||
|---|---|---|---|---|---|---|---|
| Medicaid | Uninsured | Private | |||||
| Cancer type | 1999–2001 | 2002–2004 | 1999–2001 | 2002–2004 | 1999–2001 | 2002–2004 | |
| Breast | 74.6% | 74.7% | 75.7% | 77.4% | 88.6% | 89.6% | |
| Cervix | 62.2% | 60.6% | 65.9% | 68.3% | 77.6% | 73.6% | |
| Colorectal | 46.4% | 49.5% | 55.8% | 60.7% | 69.2% | 71.8% | |
| Lung | 11.5% | 11.3% | 13.8% | 13.4% | 20.4% | 22.6% | |
| NHL | 57.5% | 73.3% | 64.3% | 65.1% | 76.9% | 81.7% | |
| Prostate | 84.6% | 84.6% | 91.4% | 92.0% | 96.3% | 96.5% | |
| Bladder | 80.1% | 74.2% | 70.1% | 68.7% | 87.7% | 89.5% | |
Five-year cause-specific survival rates were calculated using Kaplan–Meier method.
Non-Hodgkin lymphoma.
Among NJ patients 18–64 years old with breast, colorectal, lung, prostate, bladder cancer, or NHL, those without insurance had a significantly higher risk of death within 5 years of diagnosis (41%–97%) than those with private insurance even after adjustment for important prognostic factors such as gender, age, race/ethnicity, marital status, SES, and stage. Medicaid insured patients with these same cancers (except bladder cancer) also had significantly higher risks of dying within 5 years of diagnosis than those with private insurance – 21% to 198%. Our results for breast, colorectal, lung, and prostate cancer are comparable to previous studies' results, although the populations and years studied and analytic methods were different [
Possible reasons for uninsured and Medicaid insured cancer patients' poorer survival compared with privately insured cancer patients, even after adjustment for other factors, may include: poorer health with more comorbidity and unhealthy behaviors; no or inadequate preventive health care and management of chronic conditions prior to cancer diagnosis; barriers to receiving treatment and adhering to a treatment regimen such as high cost, inability to navigate the health care system, misinformation about and mistrust of the health care system, lack of a usual source of health care, lack of transportation, lack of time off from work; no treatment or delay in receiving treatment; not all providers accept uninsured or Medicaid insured patients; and lower quality treatment by providers primarily serving the uninsured and Medicaid insured [
A recent study found that patients insured through Medicaid after cancer diagnosis had higher disease-specific mortality than patients insured through Medicaid before cancer diagnosis and that both Medicaid insured groups had significantly higher mortality than the non-Medicaid insured group [
For cervical cancer, we found no significant difference in survival between uninsured or Medicaid insured versus privately insured patients when other factors were taken into account, similar to results from a previous study of cervical cancer survival in Florida [
The results from the comparison of two time periods showed that while 5-year survival significantly improved or remained the same for privately insured patients (except those with cervical cancer), survival did not improve for uninsured or Medicaid insured patients (except Medicaid insured patients with NHL). Thus, the survival disparities between privately insured and uninsured or Medicaid insured patients widened over time. The much greater improvement in survival over time for Medicaid insured NHL patients was unexpected and cannot be explained by this study.
We found no other studies with which to compare our study results relating to NHL and bladder cancer survival, or changes over time in the relationship between insurance status and cancer survival.
Our results could be out of date since we did not use the most recent years of NJSCR data, diagnosis years 2005–2009, in order to allow 5 years of follow-up for each case. However, our comparison of survival between two time periods showed improvement primarily for the insured patients and little or no improvement for Medicaid insured (except NHL patients) and uninsured patients. If this trend continued beyond the 2004 diagnosis year then survival disparities between uninsured and Medicaid insured patients versus privately insured patients would be expected to have increased. Some patients' insurance status may have been misclassified, despite the NJSCR and NJ hospital discharge data linkage, due to errors in medical records, changes in insurance between cancer diagnosis and treatment, etc.
Using census tract level SES may result in misclassification of cases with higher or lower SES than their census tract. However, previous research indicates that census tract level SES measures substitute well for individual measures of SES [
We were unable to include some factors known to affect survival such as treatment regimen, comorbidities, and risky behavior. Previous studies found survival disparities between uninsured and Medicaid insured patients versus privately insured patients with these factors taken into account [
Another possible study limitation is that we calculated cause-specific survival because we could not calculate relative survival due to lack of New Jersey-specific life tables. An underlying assumption in cause-specific survival is that the cause of death on death certificates is accurate. Howlader et al. [
This study involved multiple statistical tests so false positives could have occurred; however, the very low
Survival from cancer appears to be related to a complex set of interrelated demographic and clinical factors of which insurance status is a part. The finding that Medicaid insured cancer patients also have worse survival than privately insured cancer patients suggests that while ensuring that everyone has adequate health insurance is an important step, additional measures are needed to address cancer survival disparities. These include: building capacity in the U.S. public health and health care systems, especially in underserved communities; education about cancer prevention, detection, and treatment; preventive and chronic health care before a diagnosis of cancer; assistance to cancer patients in accessing and navigating the health care system; and workplace policies that encourage patients' attention to their health.
None declared.