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  • 11
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    Online Resource
    Changes in cancer-related mortality during the COVID-19 pandemic in the United States.
    American Society of Clinical Oncology (ASCO) ; 2022
    In:  Journal of Clinical Oncology Vol. 40, No. 16_suppl ( 2022-06-01), p. 6581-6581
    Details
    In: Journal of Clinical Oncology, American Society of Clinical Oncology (ASCO), Vol. 40, No. 16_suppl ( 2022-06-01), p. 6581-6581
    Abstract: 6581 Background: The coronavirus disease 2019 (COVID-19) pandemic resulted in delayed medical care that may have led to increased death rates in 2020 among people with medical conditions such as cancer. This study examined changes in cancer-related mortality between 2019 and 2020. Methods: We used the US 2019-2020 Multiple Cause of Death database from the CDC WONDER to identify cancer-related deaths, defined as decedents with invasive or noninvasive cancer as a contributing cause of death (ICD-10 codes: C00-C97 and D00-D09). We compared age-standardized cancer-related annual and monthly mortality rates (per 100,000 person-years and person-months, respectively) in January-December 2020 (pandemic) versus January-December 2019 (pre-pandemic) overall and stratified by rurality and place of death. We calculated the 2020 excess death by comparing the numbers of observed death with the projected death based on age-specific cancer-related death rate from 2015 to 2019. Results: The number of cancer-related deaths was 686 054 in 2020, up from 664 888 in 2019, with an annual increase of 3.2%. Compared to the number of projected deaths for 2020 (666 286), the number of cancer-related excess deaths was 19 768 in 2020. Annual age-standardized cancer-related mortality rate (per 100,000 person-years) continuously decreased from 173.7 in 2015 to 162.1 in 2019, while it increased to 164.1 in 2020 (2020 vs 2019 rate ratio (RR): 1.013, 95% confidence interval (CI): 1.009 - 1.016). The cancer-related monthly mortality rate was higher in April 2020 (RR: 1.032, 95% CI: 1.020 – 1.044) when healthcare capacity was most challenged by the pandemic, subsequently declined in May and June 2020, and higher mortality rates were again observed each month from July to December 2020 compared to 2019. In large metropolitan areas, the largest increase in cancer-related mortality was observed in April 2020, while in non-metropolitan areas, the largest increases occurred from July to December 2020, coinciding with the time-spatial pattern of COVID-19 incidence in the country. Compared to 2019, cancer-related mortality rates were lower from March to December 2020 in medical facilities, hospice facilities, and nursing homes or long-term care settings but higher in decedent's homes. Conclusions: The COVID-19 pandemic led to significant increases in cancer-related deaths in 2020 versus 2019. Ongoing evaluation of the spatial-temporal effects of the pandemic on cancer care and outcomes is warranted, especially in relation to patterns in vaccine uptake and COVID-19 hospitalization rates.[Table: see text]
    Type of Medium: Online Resource
    ISSN: 0732-183X , 1527-7755
    URL: Article
    DOI: 10.1200/JCO.2022.40.16_suppl.6581
    RVK:
    XA 52760
    RVK:
    XA 10000
    Language: English
    Publisher: American Society of Clinical Oncology (ASCO)
    Publication Date: 2022
    detail.hit.zdb_id: 2005181-5
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  • 12
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    Oncologist consideration of patient health insurance coverage and out-of-pocket costs for genomic testing in treatment decision.
    American Society of Clinical Oncology (ASCO) ; 2022
    In:  Journal of Clinical Oncology Vol. 40, No. 16_suppl ( 2022-06-01), p. 6600-6600
    Details
    In: Journal of Clinical Oncology, American Society of Clinical Oncology (ASCO), Vol. 40, No. 16_suppl ( 2022-06-01), p. 6600-6600
    Abstract: 6600 Background: Use of genomic testing, especially multi-marker tumor panels, is increasing in the United States. Not all tests and related treatments are covered by health insurance, which can result in substantial patient out-of-pocket (OOP) costs. Although most patients are concerned about OOP costs, little is known about oncologists’ treatment decisions with respect to patient health insurance coverage and OOP costs for genomic testing. Methods: We identified 1,049 oncologists who reported using multi-marker tumor panels from the 2017 National Survey of Precision Medicine in Cancer Treatment. Separate multivariable ordinal logistic regression analyses were used to assess the associations of oncologist, practice, and patient characteristics and the oncologist ratings of the importance of health insurance coverage and OOP cost for genomic testing as part of treatment decisions. Results: Among oncologists, 47.3%, 32.7% and 20.0% reported that patient insurance coverage for genomic testing was very important, somewhat important, and a little/not important, respectively, in treatment decisions. 56.9%, 28.0%, and 15.2% reported patient OOP costs for genomic testing were very, somewhat, or a little/not important in treatment decisions, respectively. In adjusted ordinal logistic regression analyses, oncologists who used next-generation gene sequencing tests were more likely to report patient health insurance and OOP costs for testing as important (odds ratio (OR) = 2.0; 95% confidence interval (CI): 1.2, 3.5) and (OR = 2.1; 95%CI: 1.2, 3.7), respectively) in treatment decisions. Oncologists with more years of experience, who treated solid tumors (rather than only hematological cancers), worked in practices without molecular tumor boards for genomic tests, and with higher percentages of patients insured by Medicaid or self-paid/uninsured also reported insurance coverage or OOP costs for testing were important in treatment decisions (all p 〈 0.05). Conclusions: Physician, practice, and patient characteristics were associated with oncologists’ ratings of the importance of patient health insurance and OOP costs in treatment decisions. Identifying factors that influence physicians’ priorities in treatment decisions may inform the development and targeting of interventions to support patient and physician discussions about oncology care.
    Type of Medium: Online Resource
    ISSN: 0732-183X , 1527-7755
    URL: Article
    DOI: 10.1200/JCO.2022.40.16_suppl.6600
    RVK:
    XA 52760
    RVK:
    XA 10000
    Language: English
    Publisher: American Society of Clinical Oncology (ASCO)
    Publication Date: 2022
    detail.hit.zdb_id: 2005181-5
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  • 13
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    Online Resource
    Associations of employment disruptions and financial hardship among individuals diagnosed with cancer in the United States.
    American Society of Clinical Oncology (ASCO) ; 2022
    In:  Journal of Clinical Oncology Vol. 40, No. 28_suppl ( 2022-10-01), p. 47-47
    Details
    In: Journal of Clinical Oncology, American Society of Clinical Oncology (ASCO), Vol. 40, No. 28_suppl ( 2022-10-01), p. 47-47
    Abstract: 47 Background: Financial hardship is experienced by approximately half of working-age individuals diagnosed with cancer. Many working individuals diagnosed with cancer also experience disruptions with their employment. This study examines whether employment disruptions are associated with financial hardship among individuals diagnosed with cancer in the US. Methods: We utilized data from the 2016/2017 Medical Expenditure Panel Survey (MEPS) Experiences with Cancer self-administered questionnaires and identified individuals diagnosed with cancer at age 〉 18 who worked for pay at the time of or following their cancer diagnosis. Employment disruption was defined as taking extended paid time off work; switching to a part time or less demanding job or to a flexible work schedule; and/or retiring early due to cancer, cancer treatment, or late effects. Financial hardship was defined in 3 domains: material (borrowing money, financial sacrifices, or being unable to cover medical costs); psychological (worrying about medical bills, financial stability, keeping job/income, or future earnings); and behavioral (delaying/forgoing medical care because of cost). Multivariable logistic regression analyses adjusting for the MEPS survey design were used to determine associations of employment disruption due to cancer with any financial hardship and with financial hardship intensity while controlling for patient demographic, health insurance, and clinical characteristics. Results: Among 732 individuals with a cancer history, 47.4% experienced employment disruptions and 55.9% experienced any financial hardship. Financial hardship was significantly more common among cancer survivors with employment disruption than without disruptions (68.7% vs. 44.5%; p-value of difference 〈 0.0001). Findings were consistent across multiple hardship measures and domains. Cancer survivors with employment disruptions were more likely to have greater (OR = 2.8; 95% CI 2.0, 3.9) financial hardship intensity. Individuals of race/ethnicity other than non-Hispanic White were also more likely to experience financial hardship while older individuals, women, and those with college education or who were married were less likely to experience financial hardship. Conclusions: Employment disruptions are common and significantly associated with multiple types of financial hardship among cancer survivors. Employer workplace accommodation and other policies to minimize disruptions among individuals diagnosed with cancer may reduce financial hardship in this vulnerable population.
    Type of Medium: Online Resource
    ISSN: 0732-183X , 1527-7755
    URL: Article
    DOI: 10.1200/JCO.2022.40.28_suppl.047
    RVK:
    XA 52760
    RVK:
    XA 10000
    Language: English
    Publisher: American Society of Clinical Oncology (ASCO)
    Publication Date: 2022
    detail.hit.zdb_id: 2005181-5
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  • 14
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    Associations of cancer history, food insecurity, and nonmedical financial worry and mortality risk in the US.
    American Society of Clinical Oncology (ASCO) ; 2023
    In:  Journal of Clinical Oncology Vol. 41, No. 16_suppl ( 2023-06-01), p. 6537-6537
    Details
    In: Journal of Clinical Oncology, American Society of Clinical Oncology (ASCO), Vol. 41, No. 16_suppl ( 2023-06-01), p. 6537-6537
    Abstract: 6537 Background: Cancer survivors often face substantial out-of-pocket medical costs, which can adversely affect their financial well-being. Cutting expenses on food and housing to save money are common coping strategies. However, little is known about the extent to which food insecurities and non-medical financial worries affect mortality risk after consideration of medical financial hardship. Methods: The 2013-2018 National Health Interview Survey (NHIS) and the NHIS linked mortality files with vital status through December 31, 2019 were used to identify cancer survivors (ages 18-64: n=5,110; ages 65-79: n=4,949) and individuals without a cancer history (ages 18-64: n=115,643; ages 65-79: n=24,785). Medical financial hardship included 3 domains: material, psychological, and behavioral. Food insecurity (e.g., worry about food running out) and non-medical financial worries (e.g., paying for monthly bills and housing) were separately summarized and categorized as severe, moderate, and minor/none levels. Using age as the time scale, associations of cancer history, food insecurity and non-medical financial worry and mortality risk were examined with weighted Cox proportional hazards models. Adjusted models included medical financial hardship, sex, educational attainment, marital status, health insurance, comorbid conditions, and survey year. All estimates accounted for complex survey design. Results: In our sample, about 13.8% (ages 18-64) and 7.9% (ages 65-79) reported moderate to severe levels of food insecurity, respectively; 32.1% (ages 18-64) and 19.2% (ages 65-79) reported moderate to severe levels of non-medical financial worries, respectively. In adjusted analyses, cancer survivors had increased mortality risk. After controlling for medical financial hardship, food insecurity was associated with higher mortality risk in both age groups, following a dose-response relationship (Table); Non-medical financial worry was associated with higher mortality risk in the 65-79 age group (Table). Conclusions: Standardized and comprehensive assessment of financial hardship and other social needs, such food insecurity, is essential to identify and mitigate adverse economic impacts of cancer. [Table: see text]
    Type of Medium: Online Resource
    ISSN: 0732-183X , 1527-7755
    URL: Article
    DOI: 10.1200/JCO.2023.41.16_suppl.6537
    RVK:
    XA 52760
    RVK:
    XA 10000
    Language: English
    Publisher: American Society of Clinical Oncology (ASCO)
    Publication Date: 2023
    detail.hit.zdb_id: 2005181-5
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  • 15
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    Concurrent and sequential chemoradiation therapy are associated with improved survival among unresected stage III non-small cell lung cancer patients in the United States.
    American Society of Clinical Oncology (ASCO) ; 2020
    In:  Journal of Clinical Oncology Vol. 38, No. 15_suppl ( 2020-05-20), p. 7043-7043
    Details
    In: Journal of Clinical Oncology, American Society of Clinical Oncology (ASCO), Vol. 38, No. 15_suppl ( 2020-05-20), p. 7043-7043
    Abstract: 7043 Background: Concurrent chemoradiation therapy (cCRT) has been shown to improve survival outcomes among inoperable stage III non-small cell lung cancer (NSCLC) patients compared to sequential CRT (sCRT) and single-modality therapy in clinical trials. However, many “real world” patients do not receive CRT, and less is known about the survival benefits of concurrent CRT vs other treatment modalities in pragmatic, non-clinical trial settings. Methods: We used the National Cancer Database (2004-2011) to identify unresected stage III NSCLC patients (ages 18-79 years) with Charlson comorbidity score ≤1 and 5-year follow up through the end of 2016. cCRT was defined as the initiations of chemotherapy (CT) and radiation therapy (RT) that were ≤14 days (n = 30,290) apart, whereas sCRT was defined as 〉 14 days apart (total n = 10,596). The remaining three treatment groups included CT only (n = 11,216), RT only (n = 7,772), and neither CT/RT during first course treatment (n = 10,694). Cox proportional hazard model was used to examine the 5-year survival by treatment modalities, controlling for patient demographics, comorbidity score, health insurance, facility type, area-level social deprivation index (SDI, a composite measure for area-level socio-economic status), driving time to the treatment facility, diagnosis year, and region. Adjusted hazard ratios (HR), and medium survivals were generated by treatment modalities. Results: Among 70,568 unresected stage III NSCLC patients, 61,487 (87.1%) patients died within the 5-year follow-up period. In adjusted analyses, cCRT and sCRT had similar survival (median survivals: 15.3 months), whereas other treatment modalities were associated with worse survival compared to cCRT: CT only (median survival: 10.8 months; HR [95%CI]: 1.46 [1.43-1.50] ), RT only (median survival: 6.7 months; HR [95%CI]: 1.93[1.88-1.99] ), and no treatment (median survival: 3.2 months; HR [95%CI]: 2.64 [2.58-2.71] ), all p 〈 0.001. Higher comorbidity score (Charlson score 1 vs 0, HR [95%CI]: 1.18 [1.16-1.21] ), non-private insurance (Medicaid: 1.16 [1.12-1.20]; Medicare: 1.10 [1.08-1.13] ; uninsured: 1.21 [1.16-1.26]) were all associated with worse survival (all p 〈 0.001). Conclusions: Concurrent CRT and sequential CRT have similar survival outcomes among unresected stage III NSCLC patients with minimum comorbidities, however, single modality and no therapy are associated with much poorer survival among “real world” patients, and should be avoided unless clinically appropriate.
    Type of Medium: Online Resource
    ISSN: 0732-183X , 1527-7755
    URL: Article
    DOI: 10.1200/JCO.2020.38.15_suppl.7043
    RVK:
    XA 52760
    RVK:
    XA 10000
    Language: English
    Publisher: American Society of Clinical Oncology (ASCO)
    Publication Date: 2020
    detail.hit.zdb_id: 2005181-5
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  • 16
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    Is Health Insurance Literacy Associated With Financial Hardship Among Cancer Survivors? Findings From a National Sample in the United States
    Oxford University Press (OUP) ; 2019
    In:  JNCI Cancer Spectrum Vol. 3, No. 4 ( 2019-12-01)
    Details
    In: JNCI Cancer Spectrum, Oxford University Press (OUP), Vol. 3, No. 4 ( 2019-12-01)
    Abstract: Little is known about the association between health insurance literacy and financial hardship among cancer survivors. Using the 2016 Medical Expenditure Panel Survey Experiences with Cancer self-administered questionnaire, we evaluated the associations between health insurance literacy and medical financial hardship and nonmedical financial sacrifices among adult cancer survivors in the United States. Of the survivors, 18.9% aged 18–64 years and 14.6% aged 65 years and older reported health insurance literacy problems. In both age groups (18–64 and ≥65 years), from multivariable logistic regressions, survivors with health insurance literacy problems were more likely to report any material (adjusted odds ratio [AOR] = 3.02, 95% confidence interval [CI] = 1.53 to 5.96; AOR = 3.33, 95% CI = 1.69 to 6.57, respectively) or psychological (AOR = 5.53, 95% CI = 2.35 to 13.01; AOR = 8.79, 95% CI = 4.55 to 16.97, respectively) hardship, as well as all types of nonmedical financial sacrifices than those without these problems. Future longitudinal studies are warranted to test causality and assess whether improving health insurance literacy can mitigate financial hardship.
    Type of Medium: Online Resource
    ISSN: 2515-5091
    URL: Article
    DOI: 10.1093/jncics/pkz061
    Language: English
    Publisher: Oxford University Press (OUP)
    Publication Date: 2019
    detail.hit.zdb_id: 2975772-1
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  • 17
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    Online Resource
    Association of Employment Disruptions and Financial Hardship Among Individuals Diagnosed with Cancer in the United States: Findings from a Nationally Representative Study
    American Association for Cancer Research (AACR) ; 2023
    In:  Cancer Research Communications Vol. 3, No. 9 ( 2023-09-12), p. 1830-1839
    Details
    In: Cancer Research Communications, American Association for Cancer Research (AACR), Vol. 3, No. 9 ( 2023-09-12), p. 1830-1839
    Abstract: Financial hardship (FH), defined as adverse patient effects due to cancer costs, is experienced by approximately half of individuals diagnosed with cancer. Many individuals diagnosed with cancer also experience disruptions with their employment. This study examines associations of employment disruptions and FH among a nationally representative sample of individuals diagnosed with cancer in the United States. We utilized 2016/2017 Medical Expenditure Panel Survey Experiences with Cancer data from individuals who worked for pay following cancer diagnosis. Employment disruption included taking extended paid time off work; switching to part-time/less demanding jobs; and/or retiring early due to cancer diagnosis/treatment. FH domains included: material (e.g., borrowing money/financial sacrifices); psychologic (e.g., worrying about medical bills/income); and behavioral (delaying/forgoing healthcare services because of cost). Multivariable logistic regression analyses determined associations of employment disruption and FH. Among 732 individuals with a cancer history, 47.4% experienced employment disruptions; 55.9% experienced any FH. Any FH was significantly more common among individuals with versus without employment disruptions across multiple measures and domains (68.7% vs. 44.5%; P value of difference & lt;0.0001). Individuals with employment disruptions were more likely to have any FH [OR, 2.38; 95% confidence interval (CI), 1.62–3.52] and more FHs (OR, 2.76; 95% CI, 1.96–3.89] . This study highlights that employment disruptions are common and significantly associated with multiple domains of FH among individuals with a cancer history. Employer workplace accommodation, physician discussions regarding potential impacts of cancer care on employment, and other policies to minimize employment disruptions among individuals diagnosed with cancer may reduce FH in this vulnerable population. Significance: Individuals diagnosed with cancer may have employment disruptions; they may also develop FHs. People with cancer who have employment changes are more likely to also have FHs. Physicians and employers can help individuals with cancer through advancing planning, workplace assistance, and improved medical leave and insurance policies.
    Type of Medium: Online Resource
    ISSN: 2767-9764
    URL: Article
    DOI: 10.1158/2767-9764.CRC-23-0157
    Language: English
    Publisher: American Association for Cancer Research (AACR)
    Publication Date: 2023
    detail.hit.zdb_id: 3098144-X
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  • 18
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    Online Resource
    Cancer survivorship, financial wellbeing and food insecurity in the U.S.
    American Society of Clinical Oncology (ASCO) ; 2018
    In:  Journal of Clinical Oncology Vol. 36, No. 15_suppl ( 2018-05-20), p. 10075-10075
    Details
    In: Journal of Clinical Oncology, American Society of Clinical Oncology (ASCO), Vol. 36, No. 15_suppl ( 2018-05-20), p. 10075-10075
    Type of Medium: Online Resource
    ISSN: 0732-183X , 1527-7755
    URL: Article
    DOI: 10.1200/JCO.2018.36.15_suppl.10075
    RVK:
    XA 52760
    RVK:
    XA 10000
    Language: English
    Publisher: American Society of Clinical Oncology (ASCO)
    Publication Date: 2018
    detail.hit.zdb_id: 2005181-5
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  • 19
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    Online Resource
    Association of Medical Financial Hardship and Mortality Among Cancer Survivors in the United States
    Oxford University Press (OUP) ; 2022
    In:  JNCI: Journal of the National Cancer Institute Vol. 114, No. 6 ( 2022-06-13), p. 863-870
    Details
    In: JNCI: Journal of the National Cancer Institute, Oxford University Press (OUP), Vol. 114, No. 6 ( 2022-06-13), p. 863-870
    Abstract: Cancer survivors frequently experience medical financial hardship in the United States. Little is known, however, about long-term health consequences. This study examines the associations of financial hardship and mortality in a large nationally representative sample of cancer survivors. Methods We identified cancer survivors aged 18-64 years (n = 14 917) and 65-79 years (n = 10 391) from the 1997-2014 National Health Interview Survey and its linked mortality files with vital status through December 31, 2015. Medical financial hardship was measured as problems affording care or delaying or forgoing any care because of cost in the past 12 months. Risk of mortality was estimated with separate weighted Cox proportional hazards models by age group with age as the timescale, controlling for the effects of sociodemographic characteristics. Health insurance coverage was added sequentially to multivariable models. Results Among cancer survivors aged 18-64 years and 65-79 years, 29.6% and 11.0%, respectively, reported financial hardship in the past 12 months. Survivors with hardship had higher adjusted mortality risk than their counterparts in both age groups: 18-64 years (hazard ratio [HR] = 1.17, 95% confidence interval [CI] = 1.04 to 1.30) and 65-79 years (HR = 1.14, 95% CI = 1.02 to 1.28). Further adjustment for health insurance reduced the magnitude of association of hardship and mortality among survivors aged 18-64 years (HR = 1.09, 95% CI = 0.97 to 1.24). Adjustment for supplemental Medicare coverage had little effect among survivors aged 65-79 years (HR = 1.15, 95% CI = 1.02 to 1.29). Conclusion Medical financial hardship was associated with mortality risk among cancer survivors in the United States.
    Type of Medium: Online Resource
    ISSN: 0027-8874 , 1460-2105
    URL: Article
    DOI: 10.1093/jnci/djac044
    RVK:
    XA 10000
    Language: English
    Publisher: Oxford University Press (OUP)
    Publication Date: 2022
    detail.hit.zdb_id: 2992-0
    detail.hit.zdb_id: 1465951-7
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  • 20
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    Online Resource
    Health Insurance Coverage Disruptions and Access to Care and Affordability among Cancer Survivors in the United States
    American Association for Cancer Research (AACR) ; 2020
    In:  Cancer Epidemiology, Biomarkers & Prevention Vol. 29, No. 11 ( 2020-11-01), p. 2134-2140
    Details
    In: Cancer Epidemiology, Biomarkers & Prevention, American Association for Cancer Research (AACR), Vol. 29, No. 11 ( 2020-11-01), p. 2134-2140
    Abstract: Lack of health insurance is associated with having problems with access to high-quality care. We estimated prevalence and evaluated associations of insurance coverage disruptions and access to health care and affordability among cancer survivors in the United States. Methods: Adult cancer survivors ages 18 to 64 years with current private or public health insurance were identified from the 2011 to 2018 National Health Interview Survey (n = 7,186). Health insurance coverage disruption was measured as self-reports of any time in the prior year without coverage. Outcomes included preventive services use, problems with care affordability, and cost-related medication nonadherence in the prior year. We used separate multivariable logistic models to evaluate associations between coverage disruptions and study outcomes by current insurance coverage. Results: Among currently insured survivors, 3.7% [95% confidence interval (95% CI), 3.0%–4.4%] with private, and 7.8% (95% CI, 6.5%–9.4%) with public insurance reported coverage disruptions in 2011 to 2018. We estimated that approximately 260,000 survivors ages 18 to 64 years had coverage disruptions in 2018. Among privately and publicly insured survivors, those with coverage disruptions were less likely to report all preventive services use (16.9% vs. 36.2%; 14.6% vs. 25.3%, respectively) and more likely to report any problems with care affordability (55.0% vs. 17.7%; 71.1% vs. 38.4%, respectively) and any cost-related medication nonadherence (39.4% vs. 10.1%; 36.5% vs. 16.3%, respectively) compared with those continuously insured (all P & lt; 0.05). Conclusions: Coverage disruptions in the prior year were associated with problems with health care access and affordability among currently insured survivors. Impact: Reducing coverage disruptions may help improve access and affordability for survivors.
    Type of Medium: Online Resource
    ISSN: 1055-9965 , 1538-7755
    URL: Article
    DOI: 10.1158/1055-9965.EPI-20-0518
    Language: English
    Publisher: American Association for Cancer Research (AACR)
    Publication Date: 2020
    detail.hit.zdb_id: 2036781-8
    detail.hit.zdb_id: 1153420-5
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