Literature DB >> 33942535

Health care access and utilization among adult cancer survivors: Results from the National Institutes of Health "All of Us" Research Program.

Steven S Coughlin1,2, Jie Chen1, Jorge E Cortes3,4.   

Abstract

BACKGROUND: Many cancer survivors face financial difficulties that prevent them from receiving appropriate health care. Racial/ethnic disparities in receipt of health care have been reported among cancer survivors, but recent data for important racial/ethnic subgroups of the US population are lacking.
METHODS: To learn more about barriers to healthcare access faced by cancer survivors, we analyzed data from the NIH "All of Us" Research Program. Data were analyzed about demographic factors and other personal characteristics, personal medical history of cancer, healthcare utilization, and access to care.
RESULTS: As of November 2020, a total of 5426 participants had a history of cancer (excluding skin cancer). About 88.2% were non-Hispanic White; 3.9% were Black, African American, or African; 1.3% were Asian; 4.1% were Hispanic, Latino, or Spanish; and 1.2% reported more than one race. Just over one-half had an annual income of $75,000 or greater. The majority of the participants (71.7%) were college graduates or had an advanced degree. About 47.0%% had private health insurance, 41.0% had Medicare, 6.0% had Medicaid, and the remainder had military, Veterans Affairs, other insurance, or no health insurance. Frequently cited reasons for delayed care in the past 12 months were "had to pay out of pocket for some or all of the procedures," "deductible was too high/or could not afford the deductible," "couldn't afford the copay," "couldn't get time off work," and "were nervous about seeing a health care provider." DISCUSSION: A minority of cancer survivors who participated in the NIH "All of Us" Program had difficulty paying for health care in the past 12 months. Of particular concern are minorities such as African American and Hispanic cancer survivors along with those who are low income.
© 2021 The Authors. Cancer Medicine published by John Wiley & Sons Ltd.

Entities:  

Keywords:  cancer; cancer survivors; health care access; health care utilization

Mesh:

Year:  2021        PMID: 33942535      PMCID: PMC8178490          DOI: 10.1002/cam4.3924

Source DB:  PubMed          Journal:  Cancer Med        ISSN: 2045-7634            Impact factor:   4.452


INTRODUCTION

Cancer survival is improving over time as a result of screening and improved treatment. An estimated 16.9 million cancer survivors were alive on January 1, 2019, in the US Cancer survivors often have life‐long health care needs that include surveillance for recurrent or secondary primary malignancies, preventive care, and management of chronic conditions and cancer treatment‐related morbidity. , Healthcare utilization among cancer survivors varies by age, race, income, insurance status, tumor type, and stage. Many cancer survivors face financial difficulties that prevent them from receiving appropriate health care. , The cost of cancer care is an important barrier to health care access, particularly among those who are racial minorities, have lower income, or are uninsured. , Studies have shown that uninsured cancer survivors are more likely to avoid care and prescription medications due to cost. , , Lack of insurance in cancer survivors has been associated with forgoing care and poorer clinical outcomes. Racial/ethnic disparities in receipt of health care have been documented among cancer survivors. , , , , In an analysis of data from the 2006–2010 National Health Interview Survey, Palmer et al. found that non‐Hispanic Whites reported receiving more health care than did Hispanics and African Americans. In a study of adolescent and young adult cancer survivors ages 15–39 years, Keegan et al. found that among those who had no cancer‐related medical visits in the previous year, a greater frequency were of non‐Hispanic Black or American Indian/Alaska Native and Hispanic race/ethnicity compared to those who received care. In a similar study by Kirchoff et al. Hispanic cancer survivors had the lowest frequency of insurance among the survivors, and two thirds of this racial/ethnic group had no routine medical care in the previous year. American Indian/Alaska Native cancer survivors also experience challenges in accessing health care. , There is also a correlation between age and receiving health care among cancer survivors. , Health care utilization among older cancer survivors is influenced by the high frequency of comorbid diseases and treatment complications. On the other hand, younger cancer survivors may be especially likely to forgo health care because of cost barriers. Kirchhoff et al. found that more than one‐fifth of adolescent and young adult survivors did not have a healthcare provider. More than two‐thirds of uninsured survivors received no routine health care. Compared to older cancer survivors, younger patients who are in their 20s are often less affluent and more likely to be without health insurance. Younger cancer patients, particularly those who are ethnic minority and low income, often have challenges such as delays in care. , To learn more about barriers to healthcare access among cancer survivors, we analyzed data from the National Institutes of Health (NIH) “All of Us” Research Program. Survey data were analyzed about demographic factors and other personal characteristics, personal medical history of cancer, healthcare utilization, and access to care. Of particular interest were racial and ethnic disparities in health care. We hypothesized that individuals who are Hispanic or African American would be less likely to have received health care and experience greater barriers to care compared to non‐Hispanic Whites. The current study adds to the published literature by providing greater information about reasons for delayed care among cancer survivors. The study also adds additional information about racial disparities in access to care among cancer survivors.

METHODS

The NIH “All of Us” Research Program is open to all eligible adults who live in the United States. Participants can sign up directly through the NIH “All of Us” Research Program website or through participating health care provider organizations. Although the data are not population‐based, they reflect the diversity of cancer survivors in the US population in terms of race, ethnicity, age, gender, health status, and other factors. In the current study, cancer survivors were defined as research participants who had been diagnosed with cancer; the sample included both individuals who were undergoing cancer treatment and those who had already completed primary therapy for the disease. Individuals with skin cancer were excluded from the analysis because their cancer survivorship care needs are often relatively minor. The “All of Us” Research Program is approved by the NIH Institutional Review Board (IRB). Participants sign an informed consent document according to the Declaration of Helsinki authorizing the collection of their data. De‐identified data from individual participants are available to approved researchers. Survey data were analyzed about demographic factors and other personal characteristics (age, sex, race, Hispanic ethnicity, educational attainment, marital status, health care insurance, employment status, annual household income, and number of people in household); personal medical history of cancer; general health; and health care utilization. Under personal medical history, the participants were asked, “Has a doctor or health care provider ever told you that you have or had any of the following cancers?” and a list of 21 cancer types followed including “Other cancer.” Under health care utilization, the participants were asked a number of questions as summarized in Table 1.
TABLE 1

Questions about healthcare access and utilization, NIH “All of Us” Research Program

“During the past 12 months, were you told by a health care provider or doctor's office that they did not accept your health care coverage?”
“In regard to your health insurance or health care coverage, how does it compare to a year ago? Better, worse, or about the same.”
“Is there a place that you usually go to when you are sick or need advice about your health?”
“What kind of place do you go to most often? Doctor's office clinic or health center, urgent care or minute clinic, hospital emergency room, some other place, or don't go to one place most often.”
“About how long has it been since you last saw or talked to a doctor or other health care provider about your own health?”
“In the past 12 months, have you seen or talked to a general doctor who treats a variety of illnesses?”
“What is the total number of general doctor visits you made in the last 12 months.”
“In the past 12 months, have you seen or talked to a nurse practitioner, physician assistant, or midwife?”
“What is the total number of nurse practitioner, physician assistant, or midwife visits you made in the last 12 months.”
“In the past 12 months, have you seen or talked to a doctor who specializes in women's health (an obstetrician/gynecologist)?”
“What is the total number of obstetrician/gynecologist visits you made in the last 12 months.”
“In the past 12 months, have you seen or talked to a doctor who specializes in a particular medical disease or problem?”
“What is the total number of visits you made to a medical doctor who specializes in a particular medical disease or problem that you made in the last 12 months?”
“Have you delated getting care for any of the following reasons in the past 12 months? Didn't have transportation, you live in a rural area where distance to the health care provider is too far, you were nervous about seeing a health care provider, couldn't get time off work, couldn't get child care, you provide care to an adult and could not leave him/her, couldn't afford the copay, your deductible was too high/or could not afford the deductible, or you had to pay out of pocket for some or all of the procedure.”
“During the past 12 months, was there any time when you needed any of the following, but didn't get it because you couldn't afford it? Prescription medicines, to see a regular doctor or general health provider, to see a specialist, or follow up care.
“If you get sick or have an accident, how worried are you that you will be able to pay your medical bills? Very worried, somewhat worried, not at all worried.”
“During the past 12 months, were any of the following true for you? You skipped medications to save money, you took less medicine to save money, you delayed filling a prescription to save money, you delayed filling a prescription to save money, you asked your doctor for a lower cost medication to save money, you bought prescription drugs from another country to save money, or you used alternative therapies to save money.”
Questions about healthcare access and utilization, NIH “All of Us” Research Program In summarizing the results, any group with less than 20 participants was combined with a relevant group to satisfy the safe data sharing policy of “All of Us”. After frequencies and cross‐tabulations of the data were completed, multivariate logistic regression methods were used to examine self‐reported delayed receipt of health care according to age, sex, race, Hispanic ethnicity, education, annual household income from all sources, number of people in household, marital status, and health insurance. Ninety‐five percent confidence intervals were obtained for adjusted odds ratios. Levels of statistical significance were determined using Wald chi‐square tests and log‐likelihood ratio tests. The goodness‐of‐fit of each model was examined using the log‐likelihood ratio test.

RESULTS

As of November 2020, a total of 5426 participants in the NIH “All of Us” Research Program had a history of cancer, excluding skin cancer (Table 2). Their mean age was 67.6 years (standard deviation = 12.0). Overall, 64.3% were women and 35.7% were men. About 88.2% were non‐Hispanic White; 3.9% were Black, African American, or African; 1.3% were Asian; 4.1% were Hispanic, Latino, or Spanish; and 1.2% reported more than one race. There was wide variation in self‐reported annual income. Just over one‐half had an annual income of $75,000 or greater. Over two‐thirds were married or living with a partner. The majority of the participants (71.7%) were college graduates or had an advanced degree. About 47.0% had private health insurance, 41.0% had Medicare, 6.0% had Medicaid, and the remainder had military, Veterans Affairs, other insurance, or no health insurance. Table 3 shows the type(s) of cancer reported by the participants. The most frequent cancer types included breast, prostate, and colorectal cancer, which represented 27.4%, 14.3%, and 5.2% of the cancers, respectively. Only 2.6% of the cancer survivors had lung cancer, which has a lower survival rate.
TABLE 2

Personal characteristics of cancer survivors, NIH “All of Us” Research Program

CharacteristicFrequency (%)
Age (years) mean =67.6 (SD =12.0)
Sex
Male1919 (35.7)
Female3457 (64.3)
Race (categories not mutually exclusive)
White, Non‐Hispanic4827 (88.2)
Black, African American, or African216 (3.9)
Asian69 (1.3)
Hispanic, Latino, or Spanish227 (4.1)
Other64 (1.2)
More than one race67 (1.2)
Annual household Income
<$10,000125 (2.3)
$10,000–$24,999354 (6.6)
$25,000–$34,999334 (6.2)
$35,000–$49,999476 (8.9)
$50,000–$74,999825 (15.4)
$75,000–$99,999719 (13.4)
$100,000–$149,999967 (18.0)
$150,000–$199,999475 (8.9)
$200,000 or more655 (12.2)
Prefer not to answer433 (8.1)
Number of people in household
11155 (21.7)
22936 (55.2)
3670 (12.6)
4333 (6.3)
5+226 (4.2)
Marital status
Married3360 (62.5)
Living with partner218 (4.1)
Never married580 (10.8)
Widowed381 (7.1)
Separated59 (1.1)
Divorced781 (14.5)
Education
Less than HS44 (0.8)
HS or equivalent345 (6.4)
Some college1168 (21.6)
College graduate or advanced degree3838 (71.7)
Health insurance
Medicare1925 (41.0)
Medicaid282 (6.0)
Military93 (2.0)
Veterans affairs109 (2.3)
Purchased551 (11.7)
Employer or union1658 (35.3)
Other82 (1.7)
None
TABLE 3

Cancer‐related medical history among cancer survivors, NIH “All of Us” Research Program

ConditionFrequency (%)
Cancer (cancer types not mutually exclusive)
Bladder cancer177 (2.9)
Blood or soft tissue cancer435 (7.1)
Bone cancer70 (1.1)
Brain cancer56 (0.9)
Breast cancer1693 (27.4)
Cervical cancer352 (5.7)
Colon cancer/rectal cancer319 (5.2)
Endocrine cancer51 (0.8)
Endometrial cancer198 (3.2)
Esophageal cancer41 (0.7)
Eye cancer29 (0.5)
Head and neck cancer157 (2.5)
Kidney cancer212 (3.4)
Lung cancer162 (2.6)
Ovarian cancer145 (2.4)
Pancreatic cancer48 (0.8)
Prostate cancer881 (14.3)
Stomach cancer32 (0.5)
Thyroid cancer361 (5.9)
Other type749 (12.1)
Personal characteristics of cancer survivors, NIH “All of Us” Research Program Cancer‐related medical history among cancer survivors, NIH “All of Us” Research Program Table 4 summarizes health care access and utilization among the cancer survivors. About 9.7% were told by a health care provider or doctor's office that they did not accept their health care coverage during the past 12 months. About 8.9% reported that their health insurance or health care coverage was worse than a year ago, and 8.0% reported that it was better. Only 2.2% reported no place that they usually go to when they are sick or need advice. The majority of the participants (93.5%) had seen or talked to a general doctor or a specialist (83.4%) in the past 12 months. The most common reasons for delayed care in the past 12 months were “had to pay out of pocket for some or all of the procedures,” “deductible was too high/or could not afford the deductible,” “couldn't afford the copay,” “couldn't get time off work,” and “were nervous about seeing a health care provider.” For a minority of the participants (3.4% to 10.0%), there was a time during the past 12 months when they needed prescription medications, a regular doctor or general health provider, a specialist, or follow‐up care, but did not get it because they could not afford it.
TABLE 4

Health care access and utilization among cancer survivors, NIH “All of Us” Research Program

ConditionFrequency (%)
During the past 12 months, were you told by a health care provider or doctor's office that they did not accept your health care coverage
Yes552 (9.7)
No4839 (90.3)
In regard to your health insurance or health care coverage, how does it compare to a year ago?
Better423 (8.0)
Worse474 (8.9)
About the same4419 (83.1)
Is there a place that you usually go to when you are sick or need advice about your health?
Yes4088 (77.0)
There is no place116 (2.2)
There is more than one place1107 (20.8)
What kind of place do you go to most often?
Doctor's office, clinic or health center4960 (94.4)
Urgent care or minute clinic150 (2.9)
Hospital emergency room34 (0.6)
Some other place36 (0.7)
Don't go to one place most often74 (1.4)
About how long has it been since you last saw or talked to a doctor or other health care provider about your own health?
Never
6 months or less5031 (94.1)
More than 6 months, but not more than 1 year ago275 (5.1)
More than 1 year, but not more than 2 years ago38 (0.7)
More than 2 years, but not more than 5 years ago
More than 5 years ago
In the past 12 months, have you seen or talked to a general doctor who treats a variety of illnesses?
Yes4963 (93.5)
No344 (6.5)
What is the total number of general doctor visits you made in the last 12 months?
1711 (14.5)
2–31793 (36.5)
4–5973 (19.8)
6–7457 (9.3)
8–9231 (4.7)
10–12243 (4.9)
13–15111 (2.3)
16 or more396 (8.1)
In the past 12 months, have you seen or talked to a nurse practitioner, physician assistant, or midwife?
Yes3385 (66.2)
No1726 (33.8)
What is the total number of nurse practitioner, physician assistant, or midwife visits you made in the last 12 months?
11288 (39.3)
2–31296 (39.5)
4–5349 (10.6)
6–7120 (3.7)
8–963 (1.9)
10–1275 (2.3)
13 or more89 (2.7)
In the past 12 months, have you seen or talked to a doctor who specializes in women's health (an obstetrician/gynecologist)?
Yes1416 (42.6)
No1908 (57.4)
What is the total number of obstetrician/gynecologist visits you made in the last 12 months?
1843 (60.2)
2–3373 (26.6)
4–597 (6.9)
6–726 (1.9)
8 or more61 (4.4)
In the past 12 months, have you seen or talked to a doctor who specializes in a particular medical disease or problem?
Yes4384 (83.4)
No871 (16.6)
What is the total number of visits you made to a medical doctor who specializes in a particular medical disease or problem that you made in the last 12 months?
1585 (13.5)
2–31610 (37.0)
4–5937 (21.6)
6–7416 (9.6)
8–9236 (5.4)
10–12225 (5.2)
13–1588 (2.0)
16 or more250 (5.8)
Have you delayed getting care for any of the following reasons in the past 12 months?
Didn't have transportation
Yes227 (4.3)
No5081 (95.7)
You live in a rural area where distance to the health care provider is too far
Yes125 (2.4)
No5152 (97.6)
You were nervous about seeing a health care provider
Yes419 (7.9)
No4860 (92.1)
Couldn't get time off work
Yes283 (5.4)
No4963 (94.6)
Couldn't get child care
Yes41 (0.8)
No5141 (99.2)
You provide care to an adult and could not leave him/her
Yes77 (1.5)
No5172 (98.5)
Couldn't afford the copay
Yes304 (5.8)
No4945 (94.2)
Your deductible was too high/or could not afford the deductible
Yes331 (6.3)
No4893 (93.7)
You had to pay out of pocket for some or all of the procedure
Yes691 (13.1)
No4584 (86.9)
During the past 12 months, was there any time when you needed any of the following, but didn't get it because you couldn't afford it?
Prescription medicines
Yes536 (10.0)
No4806 (90.0)
To see a regular doctor or general health provider
Yes182 (3.4)
No5155 (96.6)
To see a specialist
Yes324 (6.1)
No5010 (93.9)
Follow‐up care
Yes253 (4.7)
No5075 (95.3)
If you get sick or have an accident, how worried are you that you will be able to pay your medical bills?
Very worried377 (7.1)
Somewhat worried1813 (34.3)
Not at all worried3097 (58.6)
During the past 12 months, were any of the following true for you?
You skipped medications to save money
Yes339 (6.3)
No5023 (93.7)
You took less medicine to save money
Yes392 (7.3)
No4955 (92.7)
You delayed filling a prescription to save money
Yes565 (10.6)
No4784 (89.4)
You asked your doctor for a lower cost medication to save money
Yes1264 (23.7)
No4064 (76.3)
You bought prescription drugs from another country to save money
Yes274 (5.1)
No5067 (94.9)
You used alternative therapies to save money
Yes319 (6.0)
No5036 (94.0)
Health care access and utilization among cancer survivors, NIH “All of Us” Research Program We then analyzed the factors that most influenced the delays in receiving medical care in the previous 12 months among these cancer survivors. Table 5 shows the results of a multivariate logistic regression for such predictors. After adjusting for other variables in the model, cancer survivors who were younger, women, or had lower income were more likely to report delays in receiving medical care in the previous 12 months, along with those who had only completed some college.
TABLE 5

Multivariate logistic regression results for predictors of delayed receipt of medical care in the past 12 months among cancer survivors, NIH “All of Us” Research Program

CovariateBeta coefficientOdds ratio95% confidence interval p‐value
Age−0.060100.940.93, 0.950.00
Sex
Male−0.189810.830.69, 0.990.043
Female1.00
Race
Black/African American−0.165470.850.57, 1.26
White1.00
Asian−0.300280.740.33, 1.50
Other0.401851.490.91, 2.44NS
Ethnicity
Hispanic/Latino1.00NS
Not hispanic−0.366360.690.42, 1.14
Household income
<$10,0001.136933.121.75, 5.55
$10,000–$24,9991.326593.772.57, 5.53
$25,000–$34,9990.793842.211.52, 3.22
$35,000–$49,9990.916032.501.80, 3.46
$50,000–$74,9990.506911.661.25, 2.21
$75,000–$99,9990.274771.320.98, 1.76
$100,000–$149,9991.00
$150,000–$199,9990.025371.030.71, 1.47
$200,000 or more−1.290330.750.53, 1.050.00
No. of people in household
1−0.113920.890.64, 1.81
2−0.206180.780.63, 1.05
31.00
4−0.042770.960.66, 1.38
50.304741.360.79, 2.30
6+0.504671.660.95, 2.880.45
Marital status
Married1.00
Living with partner0.143381.150.76, 1.72
Never married−0.089010.910.65, 1.28
Widowed−0.513440.600.39, 0.90
Separated0.045121.050.49, 2.16
Divorced0.059481.00NS
Education
Less than HS−0.163460.850.39, 1.79
HS or equivalent0.126991.140.82, 1.55
College graduate or advanced degree1.00NS
Health insurance
Medicare1.00
Medicaid−0.032380.970.67, 1.39
Military−0.655260.520.23, 1.04
Veterans affairs0.520451.681.00, 2.75
Employer/union0.111451.120.90, 1.39
Purchased0.109511.120.84, 1.48
Other0.276731.320.73, 2.31NS
Multivariate logistic regression results for predictors of delayed receipt of medical care in the past 12 months among cancer survivors, NIH “All of Us” Research Program

DISCUSSION

The results of this study indicate that a majority of cancer survivors who are participants in the NIH “All of Us” Research Program have seen a doctor or a specialist in the past 12 months, but that a significant number of participants delayed care due to out‐of‐pocket health care expenses such as deductibles or copayments. Approximately 3.4% to 10.0% of the participants reported no health care or follow‐up care because they could not afford it, even though the participants were more educated and had higher annual incomes, on average, than the US population as a whole. It is likely that these percentages are much higher among cancer survivors in the general population, and particularly among minorities and other populations suffering significant health disparities. Cancer survivors who have completed primary therapy for the disease often have complex health care needs that include surveillance for recurrent disease or second primary malignancies, and the management of cancer‐related morbidities. Appropriate care during the post‐initial treatment survivorship phase includes preventive care visits and screening for cancer recurrence. In the current study, a high percentage (93.5%) of cancer survivors had seen a general doctor in the past 12 months and 83.4% had seen a specialist such as an oncologist. Previous studies of cancer survivors have shown high (92% to 97%) rates of adherence to routine primary care visits in the previous year. , In a study of survivors of non‐Hodgkin lymphoma, 82% of the patients reported visits to oncologists. Racial/ethnic disparities in general health care utilization are frequent. Minorities are less likely to use health care services than are non‐Hispanic Whites. Factors that contribute to these disparities include low income and lack of health insurance. , , In the current study, African Americans and Hispanics were not significantly more likely to report delaying getting care in the past 12 months than non‐Hispanic Whites. Only a small percentage of participants reported that they lacked health insurance. This is likely an underrepresentation of this problem in the general population as individuals included in this database are a self‐selected population; less educated and lower income patients are underrepresented and more likely to suffer from the factors most limiting of access to health care in general. In an analysis of data from the National Health Interview survey, Palmer et al. found that older African American and Hispanic cancer survivors were about twice as likely as non‐Hispanic Whites to not see a specialist. Similar racial/ethnic differences in health care use have been reported in Surveillance Epidemiology and End Results‐Medicare studies. , Our study has limitations that need to be considered when interpreting the results. The source of data is not population‐based and, as mentioned, the participants were relatively educated and most had health insurance. Therefore, the results may not be generalizable to all cancer survivors in the US population. We compared findings from the current study with results obtained by Zeng et al. in their analysis of data on cancer survivors from the 2013–2017 National Health Interview Survey (NHIS). In contrast to the current study, the NHIS is representative of the US population. In the study by Zeng et al., 52.6%–65.4% of the sample of cancer survivors were women compared to 64.3% of our sample from the NIH “All of Us” Research Program. In the study by Zeng et al., 57.9%–60% of the cancer survivors were married compared to 62.5% of the current sample. In the study by Zeng et al., the percentages of the cancer survivors who were White, Black/African American, or Hispanic were 77.9%–83.8%, 7.3%–8.0%, and 5.0%–9.2%, respectively, compared to 88.2%, 3.9%, and 4.1% of the current sample. Thus, in the current study, there was a higher percentage of non‐Hispanic Whites, and lower percentages of Blacks and Hispanics. The current study also included more cancer survivors who were married and fewer survivors who were uninsured. A further issue is that the numbers of participants who are American Indian, Alaska Native, or Pacific Islander were too small for separate estimates. Still, the results highlight the issues that cancer survivors face when dealing with long‐term care and trying to manage their long‐term medical needs associated with cancer survivorship. In summary, a minority of cancer survivors who participated in the NIH “All of Us” Research Program had difficulty paying for health care in the past 12 months. However, these issues are magnified among minorities such as African American and Hispanic and those with lower income.

CONFLICT OF INTEREST

The authors have no conflicts of interest to disclose.

ETHICAL STATEMENT

The study was approved by the NIH Institutional Review Board. The current study was approved by the Augusta University IRB and was based on “All of Us” survey data version 3. The IRB determined that the study does not meet the definition of human subjects research as there are no personal identifiers in the dataset available to researchers.
  25 in total

Review 1.  Racial and ethnic differences in access to medical care.

Authors:  R M Mayberry; F Mili; E Ofili
Journal:  Med Care Res Rev       Date:  2000       Impact factor: 3.929

2.  Health insurance coverage and cost barriers to needed medical care among U.S. adult cancer survivors age<65 years.

Authors:  Susan A Sabatino; Ralph J Coates; Robert J Uhler; Linda G Alley; Lori A Pollack
Journal:  Cancer       Date:  2006-06-01       Impact factor: 6.860

3.  Role of oncologists and primary care physicians in providing follow-up care to non-Hodgkin lymphoma survivors within 5 years of diagnosis: a population-based study.

Authors:  Laura P Forsythe; Neeraj K Arora; Catherine M Alfano; Kathryn E Weaver; Ann S Hamilton; Noreen Aziz; Julia H Rowland
Journal:  Support Care Cancer       Date:  2014-01-12       Impact factor: 3.603

4.  Forgoing medical care because of cost: assessing disparities in healthcare access among cancer survivors living in the United States.

Authors:  Kathryn E Weaver; Julia H Rowland; Keith M Bellizzi; Noreen M Aziz
Journal:  Cancer       Date:  2010-07-15       Impact factor: 6.860

5.  Access to preventive health care for cancer survivors.

Authors:  K Robin Yabroff; Pamela F Short; Steven Machlin; Emily Dowling; Heather Rozjabek; Chunyu Li; Timothy McNeel; Donatus U Ekwueme; Katherine S Virgo
Journal:  Am J Prev Med       Date:  2013-09       Impact factor: 5.043

6.  Access to Cancer Care and General Medical Care Services Among Cancer Survivors in the United States: An Analysis of 2011 Medical Expenditure Panel Survey Data.

Authors:  Janet S de Moor; Katherine S Virgo; Chunyu Li; Neetu Chawla; Xuesong Han; Danielle Blanch-Hartigan; Donatus U Ekwueme; Timothy S McNeel; Juan L Rodriguez; K Robin Yabroff
Journal:  Public Health Rep       Date:  2016-10-27       Impact factor: 2.792

Review 7.  Cancer disparities by race/ethnicity and socioeconomic status.

Authors:  Elizabeth Ward; Ahmedin Jemal; Vilma Cokkinides; Gopal K Singh; Cheryll Cardinez; Asma Ghafoor; Michael Thun
Journal:  CA Cancer J Clin       Date:  2004 Mar-Apr       Impact factor: 508.702

8.  Health-related quality of life and health care utilisation among older long-term cancer survivors: a population-based study.

Authors:  Floortje Mols; Jan Willem W Coebergh; Lonneke V van de Poll-Franse
Journal:  Eur J Cancer       Date:  2007-08-08       Impact factor: 9.162

9.  Financial Hardship, Healthcare Utilization, and Health Among U.S. Cancer Survivors.

Authors:  Zhiyuan Zheng; Xuesong Han; Jingxuan Zhao; Matthew P Banegas; Reginald Tucker-Seeley; Ashish Rai; Stacey A Fedewa; Weishan Song; Ahmedin Jemal; K Robin Yabroff
Journal:  Am J Prev Med       Date:  2020-07       Impact factor: 6.604

10.  Affordable Care Act and Disparities in Health Services Utilization among Ethnic Minority Breast Cancer Survivors: Evidence from Longitudinal Medical Expenditure Panel Surveys 2008⁻2015.

Authors:  Shelley I White-Means; Ahmad Reshad Osmani
Journal:  Int J Environ Res Public Health       Date:  2018-08-28       Impact factor: 3.390

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1.  Health literacy among cancer survivors: Results from the 2016 behavioral risk factor surveillance system survey.

Authors:  Steven S Coughlin; Biplab Datta; Marlo Vernon; Christos Hatzigeorgiou; Varghese George
Journal:  Medicine (Baltimore)       Date:  2022-03-04       Impact factor: 1.817

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