Patterns of Care for Medicare Beneficiaries With Metastatic Prostate Cancer

INTRODUCTION

Therapeutic options for men with metastatic prostate cancer have increased in the past decade. We studied recent treatment patterns for men with metastatic prostate cancer and how treatment patterns have changed over time.

METHODS

Using the Surveillance, Epidemiology, and End Results‒Medicare database, we identified fee-for-service Medicare beneficiaries who either were diagnosed with metastatic prostate cancer or developed metastases following diagnosis, as indicated by the presence of claims with diagnoses codes for metastatic disease, between 2007 and 2017. We evaluated treatment patterns using claims.

RESULTS

We identified 29,800 men with metastatic disease, of whom 4721 (18.8%) had metastatic disease at their initial diagnosis. The mean age was 77 years, and 77.9% of patients were non-Hispanic White. The proportion receiving antineoplastic agents within 3 years of the index date increased over time (from 9.7% in 2007 to 25.9% in 2017; P < .001). Opioid use within 3 years of prostate cancer diagnosis was stable during 2007 to 2013 (around 73%) but decreased through 2017 to 65.5% (P < .001). Patients diagnosed during 2015 to 2017 had longer median survival (32.6 months) compared to those diagnosed during 2007 to 2010 (26.6 months; P < .001).

CONCLUSIONS

Most metastatic prostate cancer patients do not receive life-prolonging antineoplastic therapies. Improved adoption of effective cancer therapies when appropriate may increase length and quality of survival among metastatic prostate cancer patients.

Health-related quality of life among prostate cancer survivors with metastatic disease and non-metastatic disease and men without a cancer history in the USA

BACKGROUND

Few studies have comprehensively compared health-related quality of life (HRQoL) between metastatic prostate cancer survivors, survivors with non-metastatic disease, and men without a cancer history.

METHODS

We used the Surveillance, Epidemiology, and End Results-Medicare Health Outcomes Survey (SEER-MHOS) data linkage to identify men aged ≥ 65 years enrolled in Medicare Advantage (MA) plans. Prostate cancer survivors were diagnosed between 1988 and 2017 and completed MHOS surveys between 1998 and 2019. We analyzed data from 752 metastatic prostate cancer survivors (1040 survey records), 19,583 localized or regional prostate cancer survivors (non-metastatic; 30,121 survey records), and 784,305 men aged ≥ 65 years without a cancer history in the same SEER regions (1.15 million survey records). We used clustered linear regressions to compare HRQoL measures at the person-level using the Veterans RAND 12 Item Health Survey (VR-12) T-scores for general health and physical and mental component summaries.

RESULTS

Compared to men without a cancer history, prostate cancer survivors were older, more likely to be married, and had higher socioeconomic status. Compared to men without a cancer history, metastatic prostate cancer survivors reported lower general health (T-score differences [95% confidence interval]: - 6.26, [- 7.14, - 5.38], p < .001), physical health (- 4.33, [- 5.18, - 3.48], p < .001), and mental health (- 2.64, [- 3.40, - 1.88], p < .001) component summaries. Results were similar for other VR-12 T-scores. In contrast, non-metastatic prostate cancer survivors reported similar VR-12 T-scores as men without a cancer history. Further analyses comparing metastatic and non-metastatic prostate cancer survivors support these findings.

CONCLUSION

Interventions to improve health-related quality of life for men diagnosed with metastatic prostate cancer merit additional investigation.

IMPLICATIONS FOR CANCER SURVIVORS

Interventions to improve health-related quality of life for metastatic prostate cancer survivors merit additional investigation.

Enhancing Cancer Economic Data Resources: The Interagency Consortium to Promote Health Economics Research on Cancer (HEROiC)

BACKGROUND

Cancer diagnosis and treatment can substantially affect health and financial outcomes for patients and families. Research in health care delivery across the cancer control continuum includes diverse activities led by multiple government and private sector organizations. Assessing the economic drivers and influencing factors associated with costs across this continuum is challenging as organizations leading research efforts often do not have forums to share data, develop linkages, and explore collaborative opportunities.

OBJECTIVE

To describe the objectives, activities, and goals of the Interagency Consortium to Promote Health Economics Research on Cancer (HEROiC) to strengthen data resources and capacity for collaborative patient-focused cancer health economics research.

MAIN ARGUMENT

HEROiC's goals include assessing the economic burden of cancer; examining the effects of policies, health care setting/system factors, and health service delivery approaches across the cancer control continuum; and enhancing collaborations among researchers and organizations.

CONCLUSIONS

Data resources to study economic outcomes associated with cancer control are highly fragmented; HEROIC provides a forum to collaboratively develop, enhance, and utilize data resources and infrastructure for patient-centered cancer health economics research. This includes sharing data resources, developing linkages, identifying new data collection venues, and creating and supporting the dissemination of evidence-based information to diverse stakeholders. These efforts provide critical information to address the economic burden of cancer.

RELEVANCE TO THE SPECIAL ISSUE

Cancer diagnosis and treatment affect patient health and financial outcomes. This commentary describes how HEROiC will enhance research data infrastructure and collaborations to support patient-centered research with the goal of reducing the economic burden of cancer.

The cost burden of metastatic prostate cancer in the US populations covered by employer-sponsored health insurance

BACKGROUND

Recent advancements in the clinical management of metastatic prostate cancer include several costly therapies and diagnostic tests. The objective of this study was to provide updated information on the cost to payers attributable to metastatic prostate cancer among men aged 18 to 64 years with employer-sponsored health plans and men aged 18 years or older covered by employer-sponsored Medicare supplement insurance.

METHODS

By using Merative MarketScan commercial and Medicare supplemental data for 2009-2019, the authors calculated differences in spending between men with metastatic prostate cancer and their matched, prostate cancer-free controls, adjusting for age, enrollment length, comorbidities, and inflation to 2019 US dollars.

RESULTS

The authors compared 9011 patients who had metastatic prostate cancer and were covered by commercial insurance plans with a group of 44,934 matched controls and also compared 17,899 patients who had metastatic prostate cancer and were covered by employer-sponsored Medicare supplement plans with a group of 87,884 matched controls. The mean age of patients with metastatic prostate cancer was 58.5 years in the commercial samples and 77.8 years in the Medicare supplement samples. Annual spending attributable to metastatic prostate cancer was $55,949 per person-year (95% confidence interval [CI], $54,074-$57,825 per person-year) in the commercial population and $43,682 per person-year (95% CI, $42,022-$45,342 per person-year) in the population covered by Medicare supplement plans, both in 2019 US dollars.

CONCLUSIONS

The cost burden attributable to metastatic prostate cancer exceeds $55,000 per person-year among men with employer-sponsored health insurance and $43,000 among those covered by employer-sponsored Medicare supplement plans. These estimates can improve the precision of value assessments of clinical and policy approaches to the prevention, screening, and treatment of prostate cancer in the United States.

Better data for decision-making through Bayesian imputation of suppressed provisional COVID-19 death counts

PURPOSE

To facilitate use of timely, granular, and publicly available data on COVID-19 mortality, we provide a method for imputing suppressed COVID-19 death counts in the National Center for Health Statistic's 2020 provisional mortality data by quarter, county, and age.

METHODS

We used a Bayesian approach to impute suppressed COVID-19 death counts by quarter, county, and age in provisional data for 3,138 US counties. Our model accounts for multilevel data structures; numerous zero death counts among persons aged <50 years, rural counties, early quarters in 2020; highly right-skewed distributions; and different levels of data granularity (county, state or locality, and national levels). We compared three models with different prior assumptions of suppressed COVID-19 deaths, including noninformative priors (M1), the same weakly informative priors for all age groups (M2), and weakly informative priors that differ by age (M3) to impute the suppressed death counts. After the imputed suppressed counts were available, we assessed three prior assumptions at the national, state/locality, and county level, respectively. Finally, we compared US counties by two types of COVID-19 death rates, crude (CDR) and age-standardized death rates (ASDR), which can be estimated only through imputing suppressed death counts.

RESULTS

Without imputation, the total COVID-19 death counts estimated from the raw data underestimated the reported national COVID-19 deaths by 18.60%. Using imputed data, we overestimated the national COVID-19 deaths by 3.57% (95% CI: 3.37%-3.80%) in model M1, 2.23% (95% CI: 2.04%-2.43%) in model M2, and 2.96% (95% CI: 2.76%-3.16%) in model M3 compared with the national report. The top 20 counties that were most affected by COVID-19 mortality were different between CDR and ASDR.

CONCLUSIONS

Bayesian imputation of suppressed county-level, age-specific COVID-19 deaths in US provisional data can improve county ASDR estimates and aid public health officials in identifying disparities in deaths from COVID-19.

Updated estimate of the annual direct medical cost of screening and treatment for human papillomavirus associated disease in the United States

The annual direct medical cost attributable to human papillomavirus (HPV) in the United States over the period 2004-2007 was estimated at $9.36 billion in 2012 (updated to 2020 dollars). The purpose of this report was to update that estimate to account for the impact of HPV vaccination on HPV-attributable disease, reductions in the frequency of cervical cancer screening, and new data on the cost per case of treating HPV-attributable cancers. Based primarily on data from the literature, we estimated the annual direct medical cost burden as the sum of the costs of cervical cancer screening and follow-up and the cost of treating HPV-attributable cancers, anogenital warts, and recurrent respiratory papillomatosis (RRP). We estimated the total direct medical cost of HPV to be $9.01 billion annually over the period 2014-2018 (2020 U.S. dollars). Of this total cost, 55.0% was for routine cervical cancer screening and follow-up, 43.8% was for treatment of HPV-attributable cancer, and less than 2% was for treating anogenital warts and RRP. Although our updated estimate of the direct medical cost of HPV is slightly lower than the previous estimate, it would have been substantially lower had we not incorporated more recent, higher cancer treatment costs.

Economic burden of skin cancer treatment in the USA: an analysis of the Medical Expenditure Panel Survey Data, 2012-2018

PURPOSE

We report the prevalence and economic cost of skin cancer treatment compared to other cancers overall in the USA from 2012 to 2018.

METHODS

Using the Medical Expenditure Panel Survey full-year consolidated data files and associated medical conditions and medical events files, we estimate the prevalence, total costs, and per-person costs of treatment for melanoma and non-melanoma skin cancer among adults aged ≥ 18 years in the USA. To understand the changes in treatment prevalence and treatment costs of skin cancer in the context of overall cancer treatment, we also estimate the prevalence, total costs, and per-person costs of treatment for non-skin cancer among US adults.

RESULTS

During 2012-15 and 2016-18, the average annual number of adults treated for any skin cancer was 5.8 (95% CI: 5.2, 6.4) and 6.1 (95% CI: 5.6, 6.6) million, respectively, while the average annual number of adults treated for non-skin cancers rose from 10.8 (95% CI: 10.0, 11.5) to 11.9 (95% CI: 11.2, 12.6) million, respectively. The overall estimated annual costs rose from $8.0 (in 2012-2015) to $8.9 billion (in 2016-18) for skin cancer treatment and $70.2 to $79.4 billion respectively for non-skin cancer treatment.

CONCLUSION

The prevalence and economic cost of skin cancer treatment modestly increased in recent years. Given the substantial cost of skin cancer treatment, continued public health attention to implementing evidence-based sun-safety interventions to reduce skin cancer risk may help prevent skin cancer and the associated treatment costs.

Cost-Effectiveness of Pharmacologic Treatment Options for Women With Endocrine-Refractory or Triple-Negative Metastatic Breast Cancer

PURPOSE

Treatments for endocrine-refractory or triple-negative metastatic breast cancer (mBC) are modestly effective at prolonging life and improving quality of life but can be extremely expensive. Given these tradeoffs in quality of life and cost, the optimal choice of treatment sequencing is unclear. Cost-effectiveness analysis can explicitly quantify such tradeoffs, enabling more informed decision making. Our objective was to estimate the societal cost-effectiveness of different therapeutic alternatives in the first- to third-line sequences of single-agent chemotherapy regimens among patients with endocrine-refractory or triple-negative mBC.

METHODS

Using three dynamic microsimulation models of 10,000 patients each, three cohorts were simulated, based upon prior chemotherapy exposure: (1) unexposed to either taxane or anthracycline, (2) taxane- and anthracycline-exposed, and (3) taxane-exposed/anthracycline-naive. We focused on the following single-agent chemotherapy regimens as reasonable and commonly used options in the first three lines of therapy for each cohort, based upon feedback from oncologists treating endocrine-refractory or triple-negative mBC: (1) for taxane- and anthracycline-unexposed patients, paclitaxel, capecitabine (CAPE), or pegylated liposomal doxorubicin; (2) for taxane- and anthracycline-exposed patients, Eribulin, CAPE, or carboplatin; and (3) for taxane-exposed/anthracycline-naive patients, pegylated liposomal doxorubicin, CAPE, or Eribulin.

RESULTS

In each cohort, accumulated quality-adjusted life-years were similar between regimens, but total societal costs varied considerably. Sequences beginning first-line treatment with paclitaxel, carboplatin, and CAPE, respectively, for cohorts 1, 2, and 3, had lower costs and similar or slightly better outcomes compared with alternative options.

CONCLUSION

In this setting where multiple single-agent chemotherapy options are recommended by clinical guidelines and share similar survival and adverse event trajectories, treatment sequencing approaches that minimize costs early may improve the value of care.

The Association Between State-Issued Mask Mandates and County COVID-19 Hospitalization Rates

CONTEXT

Mask mandates are one form of nonpharmaceutical intervention that has been utilized to combat the spread of SARS-CoV2, the virus that causes COVID-19.

OBJECTIVE

This study examines the association between state-issued mask mandates and changes in county-level and hospital referral region (HRR)-level COVID-19 hospitalizations across the United States.

DESIGN

Difference-in-difference and event study models were estimated to examine the association between state-issued mask mandates and COVID-19 hospitalization outcomes.

PARTICIPANTS

All analyses were conducted with US county-level data.

INTERVENTIONS

State-issued mask mandates. County-level data on the mandates were collected from executive orders identified on state government Web sites from April 1, 2020, to December 31, 2020.

MAIN OUTCOME MEASURES

Daily county-level (and HRR-level) estimates of inpatient beds occupied by patients with confirmed or suspected COVID-19 were collected by the US Department of Health and Human Services.

RESULTS

The state issuing of mask mandates was associated with an average of 3.6 fewer daily COVID-19 hospitalizations per 100 000 people (P < .05) and a 1.2-percentage-point decrease in the percentage of county beds occupied with COVID-19 patients (P < .05) within 70 days of taking effect. Event study results suggest that this association increased the longer mask mandates were in effect. In addition, the results were robust to analyses conducted at the HRR level.

CONCLUSIONS

This study demonstrated that state-issued mask mandates were associated with reduction in COVID-19 hospitalizations across the United States during the earlier portion of the pandemic. As new variants of the virus cause spikes in COVID-19 cases, reimposing mask mandates in indoor and congested public areas, as part of a layered approach to community mitigation, may reduce the spread of COVID-19 and lessen the burden on our health care system.

Duration of Behavioral Policy Interventions and Incidence of COVID-19 by Social Vulnerability of US Counties, April-December 2020

OBJECTIVE

State-issued behavioral policy interventions (BPIs) can limit community spread of COVID-19, but their effects on COVID-19 transmission may vary by level of social vulnerability in the community. We examined the association between the duration of BPIs and the incidence of COVID-19 across levels of social vulnerability in US counties.

METHODS

We used COVID-19 case counts from USAFacts and policy data on BPIs (face mask mandates, stay-at-home orders, gathering bans) in place from April through December 2020 and the 2018 Social Vulnerability Index (SVI) from the Centers for Disease Control and Prevention. We conducted multilevel linear regression to estimate the associations between duration of each BPI and monthly incidence of COVID-19 (cases per 100 000 population) by SVI quartiles (grouped as low, moderate low, moderate high, and high social vulnerability) for 3141 US counties.

RESULTS

Having a BPI in place for longer durations (ie, ≥2 months) was associated with lower incidence of COVID-19 compared with having a BPI in place for <1 month. Compared with having no BPI in place or a BPI in place for <1 month, differences in marginal mean monthly incidence of COVID-19 per 100 000 population for a BPI in place for ≥2 months ranged from -4 cases in counties with low SVI to -401 cases in counties with high SVI for face mask mandates, from -31 cases in counties with low SVI to -208 cases in counties with high SVI for stay-at-home orders, and from -227 cases in counties with low SVI to -628 cases in counties with high SVI for gathering bans.

CONCLUSIONS

Establishing COVID-19 prevention measures for longer durations may help reduce COVID-19 transmission, especially in communities with high levels of social vulnerability.

The global burden of cancer attributable to risk factors, 2010-19: a systematic analysis for the Global Burden of Disease Study 2019

BACKGROUND

Understanding the magnitude of cancer burden attributable to potentially modifiable risk factors is crucial for development of effective prevention and mitigation strategies. We analysed results from the Global Burden of Diseases, Injuries, and Risk Factors Study (GBD) 2019 to inform cancer control planning efforts globally.

METHODS

The GBD 2019 comparative risk assessment framework was used to estimate cancer burden attributable to behavioural, environmental and occupational, and metabolic risk factors. A total of 82 risk-outcome pairs were included on the basis of the World Cancer Research Fund criteria. Estimated cancer deaths and disability-adjusted life-years (DALYs) in 2019 and change in these measures between 2010 and 2019 are presented.

FINDINGS

Globally, in 2019, the risk factors included in this analysis accounted for 4·45 million (95% uncertainty interval 4·01-4·94) deaths and 105 million (95·0-116) DALYs for both sexes combined, representing 44·4% (41·3-48·4) of all cancer deaths and 42·0% (39·1-45·6) of all DALYs. There were 2·88 million (2·60-3·18) risk-attributable cancer deaths in males (50·6% [47·8-54·1] of all male cancer deaths) and 1·58 million (1·36-1·84) risk-attributable cancer deaths in females (36·3% [32·5-41·3] of all female cancer deaths). The leading risk factors at the most detailed level globally for risk-attributable cancer deaths and DALYs in 2019 for both sexes combined were smoking, followed by alcohol use and high BMI. Risk-attributable cancer burden varied by world region and Socio-demographic Index (SDI), with smoking, unsafe sex, and alcohol use being the three leading risk factors for risk-attributable cancer DALYs in low SDI locations in 2019, whereas DALYs in high SDI locations mirrored the top three global risk factor rankings. From 2010 to 2019, global risk-attributable cancer deaths increased by 20·4% (12·6-28·4) and DALYs by 16·8% (8·8-25·0), with the greatest percentage increase in metabolic risks (34·7% [27·9-42·8] and 33·3% [25·8-42·0]).

INTERPRETATION

The leading risk factors contributing to global cancer burden in 2019 were behavioural, whereas metabolic risk factors saw the largest increases between 2010 and 2019. Reducing exposure to these modifiable risk factors would decrease cancer mortality and DALY rates worldwide, and policies should be tailored appropriately to local cancer risk factor burden.

FUNDING

Bill & Melinda Gates Foundation.

Health Economics Research in Primary Prevention of Cancer: Assessment, Current Challenges, and Future Directions

In the past 2 decades, the demand for information on health economics research to guide health care decision making has substantially increased. Studies have provided evidence that eliminating or reducing tobacco use; eating a healthy diet, including fruit and vegetables; being physically active; reducing alcohol consumption; avoiding ultraviolet radiation; and minimizing exposure to environmental and occupational carcinogenic agents should substantially reduce cancer incidence in the population. The benefits of these primary prevention measures in reducing cancer incidence are not instantaneous. Therefore, health economics research has an important role to play in providing credible information to decision makers on the health and economic benefits of primary prevention. This article provides an overview of health economics research related to primary prevention of cancer. We addressed the following questions: 1) What are the gaps and unmet needs for performing health economics research focused on primary prevention of cancer? 2) What are the challenges and opportunities to conducting health economics research to evaluate primary prevention of cancer? and 3) What are the future directions for enhancing health economics research on primary prevention of cancer? Modeling primary prevention of cancer is often difficult given data limitations, long delays before the policy or intervention is effective, possible unintended effects of the policy or intervention, and the necessity of outside expertise to understand key inputs or outputs to the modeling. Despite these challenges, health economics research has an important role to play in providing credible information to decision makers on the health and economic benefits of primary prevention of cancer.

Estimated economic burden of cancer associated with suboptimal diet in the United States

PURPOSE

Suboptimal diet is a preventable cause of cancer. We aimed to estimate the economic burden of diet-associated cancer among US adults.

METHODS

We used a Comparative Risk Assessment model to quantify the number of new cancer cases attributable to seven dietary factors among US adults ages 20 + years. A Markov cohort model estimated the 5-year medical costs for 15 diet-associated cancers diagnosed in 2015. We obtained dietary intake from 2013 to 2016 National Health and Nutrition Examination Survey, cancer incidence, and survival from 2008 to 2014 Surveillance, Epidemiology, and End Results (SEER) program, and medical costs from 2007 to 2013 linked SEER-Medicare data.

RESULTS

The estimated 5-year medical costs of new diet-associated cancer cases diagnosed in 2015 were $7.44 (2018 US$). Colorectal cancer had the largest diet-related 5-year medical costs of $5.32B. Suboptimal consumption of whole grains ($2.76B), dairy ($1.82B), and high consumption of processed meats ($1.5B) accounted for the highest medical costs. Per-person medical costs attributable to suboptimal diet vary by gender, race, and age group.

CONCLUSIONS

Suboptimal diet contributes substantially to the economic burden of diet-associated cancers among US adults. This study highlights the need to implement population-based strategies to improve diet and reduce cancer burden in the US.

Projecting the Prevalence and Costs of Metastatic Breast Cancer From 2015 through 2030

Background

This study projected the number of metastatic breast cancer (mBC) cases and costs (medical and productivity) attributable to mBC through 2030 among 3 age groups: younger (aged 18-44 years), midlife (aged 45-64 years), and older women (aged 65 years and older).

Methods

We developed a stock/flow model in which women enter the mBC population at initial diagnosis (de novo stage IV) or through progression of an earlier-stage cancer. Women exit the mBC population through death. Input parameters by age and phase of treatment came from the US Census, Surveillance, Epidemiology, and End Results and peer-reviewed literature.

Results

In 2030, we estimated there would be 246 194 prevalent cases of mBC, an increase of 54.8% from the 2015 estimate of 158 997. We estimated total costs (medical and productivity) of mBC across all age groups and phases of care were $63.4 billion (95% sensitivity range = $59.4-$67.4 billion) in 2015 and would increase to $152.4 billion (95% sensitivity range = $111.6-$220.4 billion) in 2030, an increase of 140%. Trends in estimated costs were higher for younger and midlife women than for older women.

Conclusions

The cost of mBC could increase substantially in the coming decade, especially among younger and midlife women. Although accounting for trends in incidence, progression, and survival, our model did not attempt to forecast structural changes such as technological innovations in breast cancer treatment and health-care delivery reforms. These findings can motivate early detection activities, direct value-driven mBC treatment, and provide a useful baseline against which to measure the effect of prevention and treatment efforts.

The Estimated Lifetime Medical Cost of Diseases Attributable to Human Papillomavirus Infections Acquired in 2018

INTRODUCTION

We estimated the lifetime medical costs of diagnosed cases of diseases attributable to human papillomavirus (HPV) infections acquired in 2018.

METHODS

We adapted an existing mathematical model of HPV transmission and associated diseases to estimate the lifetime number of diagnosed cases of disease (genital warts; cervical intraepithelial neoplasia; and cervical, vaginal, vulvar, penile, anal, and oropharyngeal cancers) attributable to HPV infections that were acquired in 2018. For each of these outcomes, we multiplied the estimated number of cases by the estimated lifetime medical cost per case obtained from previous studies. We estimated the costs of recurrent respiratory papillomatosis in a separate calculation. Future costs were discounted at 3% annually.

RESULTS

The estimated discounted lifetime medical cost of diseases attributable to HPV infections acquired in 2018 among people aged 15 to 59 years was $774 million (in 2019 US dollars), of which approximately half was accounted for by infections in those aged 15 to 24 years. Human papillomavirus infections in women accounted for approximately 90% of the lifetime number of diagnosed cases of disease and 70% of the lifetime cost attributable to HPV infections acquired in 2018 among those aged 15 to 59 years.

CONCLUSIONS

We estimated the lifetime medical costs of diseases attributable to HPV infections acquired in 2018 to be $774 million. This estimate is lower than previous estimates, likely due to the impact of HPV vaccination. The lifetime cost of disease attributable to incident HPV infections is expected to decrease further over time as HPV vaccination coverage increases.

Engaging Community Health Workers to Increase Cancer Screening: A Community Guide Systematic Economic Review

CONTEXT

The Community Preventive Services Task Force recommends engaging community health workers to increase breast, cervical, and colorectal cancer screenings on the basis of strong evidence of effectiveness. This systematic review examines the economic evidence of these interventions.

EVIDENCE ACQUISITION

A systematic literature search was performed with a search period through April 2019 to identify relevant economic evaluation studies. All monetary values were adjusted to 2018 U.S. dollars, and the analysis was completed in 2019.

EVIDENCE SYNTHESIS

A total of 19 studies were included in the final analysis with 3 on breast cancer, 5 on cervical cancer, 9 on colorectal cancer, and 2 that combined costs for breast and cervical cancers and for breast, cervical, and colorectal cancers. For cervical cancer screening, 2 U.S. studies reported incremental cost per quality-adjusted life year saved of $762 and $34,405. For colorectal cancer screening, 2 U.S. studies reported both a negative incremental cost and an increase in quality-adjusted life years saved with colonoscopy screening.

CONCLUSIONS

Engaging community health workers to increase cervical and colorectal cancer screenings is cost effective on the basis of estimated incremental cost-effectiveness ratios that were less than the conservative $50,000 per quality-adjusted life year threshold. In addition, quality-adjusted life years saved from colorectal screening with colonoscopy were associated with net healthcare cost savings.

A framework for cancer health economics research

LAY SUMMARY

Cancer has substantial economic impacts for patients, their families and/or caregivers, employers, and the health care system. However, there is only limited understanding of how economic issues can affect access to cancer care services and the receipt of high-quality cancer care. Health economics research in cancer is particularly timely due to the large and increasing number of patients with cancer and cancer survivors, but there are many factors that may create barriers to performing cancer health economics research. This commentary has identified important topics and questions in cancer health economics research and will assist in the development of this critical field.

Cost-effectiveness of HPV vaccination for adults through age 45 years in the United States: Estimates from a simplified transmission model

INTRODUCTION

The objective of this study was to assess incremental costs and benefits of a human papillomavirus (HPV) vaccination program expanded to include "mid-adults" (adults aged 27 through 45 years) in the United States.

METHODS

We adapted a previously published, dynamic mathematical model of HPV transmission and HPV-associated disease to estimate the incremental costs and benefits of a 9-valent HPV vaccine (9vHPV) program for people aged 12 through 45 years compared to a 9vHPV program for females aged 12 through 26 years and males aged 12 through 21 years.

RESULTS

A 9vHPV program for females aged 12 through 26 years and males aged 12 through 21 years was estimated to cost < $10,000 quality-adjusted life year (QALY) gained, compared to no vaccination. Expanding the 9vHPV program to include mid-adults was estimated to cost $587,600 per additional QALY gained when including adults through age 30 years, and $653,300 per additional QALY gained when including adults through age 45 years. Results were most sensitive to assumptions about HPV incidence among mid-adults, current and historical vaccination coverage, vaccine price, and the impact of HPV diseases on quality of life.

CONCLUSIONS

Mid-adult vaccination is much less cost-effective than the comparison strategy of routine vaccination for all adolescents at ages 11 to 12 years and catch-up vaccination for women through age 26 years and men through age 21 years.

Productivity costs associated with metastatic breast cancer in younger, midlife, and older women

BACKGROUND

The objective of the current study was to estimate productivity costs due to metastatic breast cancer (mBC) via productive time lost among survivors and potential life-years lost from premature mortality among 3 age groups: younger (aged 18-44 years), midlife (aged 45-64 years), and older (aged ≥65 years) women.

METHODS

The authors estimated the number of work and home productivity days missed due to mBC by age group using data from the 2000 to 2016 National Health Interview Survey. Years of potential life lost (YPLL) due to mBC were calculated for each age group using 2015 National Vital Statistics System data. The authors valued both sources of lost productivity time using the Current Population Survey and prior studies.

RESULTS

The per-woman value of lost productive days (work and home) due to mBC ranged from $680 for older women to $5169 for younger women. In 2015, the value of lost work and home productivity days associated with mBC nationally was $67 million for younger women, $246 million for midlife women, and $66 million for older women. YPLL were highest among midlife women (403,786 life-years), followed by older women (248,522 life-years) and younger women (95,943 life-years). Midlife women were found to have the highest market value of YPLL ($4.1 billion), followed by younger women ($1.6 billion) and older women ($527 million).

CONCLUSIONS

The results of the current study demonstrated that mBC generates a high economic burden through lost productivity, especially among midlife women.

Patient-Provider Discussions About Out-of-Pocket Costs of Cancer Care in the U.S

INTRODUCTION

Despite the importance of cost-related discussions in cancer care, little is known about the prevalence or drivers of these discussions in clinical practice. This study estimates the prevalence and examines the correlates of cancer survivors' discussions about out-of-pocket costs of cancer care with providers.

METHODS

The 2016 and 2017 Medical Expenditure Panel Survey Experiences with Cancer Surveys were used to identify 1,550 survivors who responded to the question on discussion about out-of-pocket costs of cancer care. Multivariable multinomial logistic regression examined the correlates of discussions about out-of-pocket costs. Analyses were performed in 2019.

RESULTS

Approximately one quarter of cancer survivors reported having discussed the out-of-pocket costs of cancer care. In multivariable analyses, respondents in the following categories were less likely to report no cost discussion than any cost discussion: black non-Hispanic/other race (RRR=0.67, 95% CI=0.45, 0.98; white non-Hispanic race as reference), no health insurance at diagnosis (RRR=0.51, 95% CI=0.27, 0.95; private health insurance as reference), and any experience of financial hardship (RRR=0.48, 95% CI=0.35, 0.66; no financial hardship as reference).

CONCLUSIONS

Patient-reported discussions about out-of-pocket costs for cancer care are infrequent in the U.S. The findings highlight the needs to improve the understanding of the barriers and facilitators for effective discussions about out-of-pocket costs of cancer care.

A comparison of general, genitourinary, bowel, and sexual quality of life among long term survivors of prostate, bladder, colorectal, and lung cancer

OBJECTIVES

Studies of local stage prostate cancer survivors suggest that treatments carry risk of persistent impotence, incontinence, and bowel dysfunction. To examine impacts of cancer type and side effects on health-related quality of life (HRQoL) in long-term cancer survivorship, we evaluated 5-year follow-up of patients with prostate cancer and compared results with a matched group of male long-term survivors of other local-stage cancers.

MATERIALS AND METHODS

We examined genitourinary, bowel and sexual symptoms, and general quality of life. Matched survivors of colorectal, lung, and bladder cancers were recruited via registries in 3 different regions in the United States. Patients were surveyed 3-5 years after diagnosis with the SF-12 and EPIC to evaluate general mental and physical health-related quality of life (HRQoL) and patient function and bother.

RESULTS

We analyzed responses from long-term prostate (n = 77) and bladder, colorectal, and lung cancer (n = 124) patients. In multivariate analysis, long-term local stage prostate cancer survivors had significantly higher SF-12 physical component scores but did not differ from long-term survivors of other cancers in terms of their SF-12 mental summary scores. Prostate survivors had similar mental, urinary, bowel, and sexual HRQoL compared to long-term survivors of other local stage cancers.

CONCLUSION

Long-term general and prostate-specific HRQoL was similar between local stage prostate and bladder, colorectal, and lung patients with cancer. Future research focusing on factors other than initial treatment and the cancer type per se may provide more meaningful information regarding factors that predict disparities on HRQoL among longer-term survivors of early stage male cancers.

Estimating the impact of increasing cervical cancer screening in the National Breast and Cervical Cancer Early Detection Program among low-income women in the USA

PURPOSE

The National Breast and Cervical Cancer Early Detection Program (NBCCEDP) provides free cervical cancer screening to low-income women. This study estimated the health benefits gained in terms of life years (LYs) saved and quality-adjusted life years (QALYs) gained if cervical cancer screening by the NBCCEDP increased to reach more eligible women.

METHODS

Data from Surveillance, Epidemiology, and End Results, NBCCEDP, and Medical Expenditure Panel Surveys were used. LYs saved and QALYs gained/100,000 women were estimated using modeling methods. They were used to predict additional health benefits gained if screening by the NBCCEDP increased from 6.5% up to 10-25% of the eligible women.

RESULTS

Overall, per 100,000 women screened by the NBCCEDP, 1,731 LYs were saved and 1,608 QALYs were gained. For white women, 1,926 LYs were saved and 1,780 QALYs were gained/100,000 women screened by the NBCCEDP. For black women, 1,506 LYs were saved and 1,300 QALYs were gained/100,000 women screened. If the proportion of eligible women screened by the NBCCEDP increased to 10-25%, the estimated health benefits would range from 6,626-34,896 LYs saved and 6,153-32,407 QALYs gained.

CONCLUSIONS

The reported estimates emphasize the value of cervical cancer screening program by extending LE in low-income women. Further, it demonstrates that screening a higher percentage of eligible women in the NBCCEDP may yield more health benefits.

Medical costs associated with metastatic breast cancer in younger, midlife, and older women

PURPOSE

We estimated average medical costs due to metastatic breast cancer (mBC) among younger (aged 18-44), midlife (aged 45-64), and older women (aged 65 and older) by phase of care: initial, continuing, and terminal.

METHODS

We used 2003-2014 North Carolina cancer registry data linked with administrative claims from public and private payers. We developed a claims-based algorithm to identify breast cancer patients who progressed to metastatic disease. We matched breast cancer patients (mBC and earlier stage) to non-cancer patients on age group, county of residence, and insurance plan. Outcomes were average monthly medical expenditures and expected medical expenditures by phase. We used regression to estimate excess costs attributed to mBC as the difference in mean payments between patients with mBC (N = 4806) and patients with each earlier-stage breast cancer (stage 1, stage 2, stage 3, and unknown stage; N = 21,772) and non-cancer controls (N = 109,631) by treatment phase and age group.

RESULTS

Adjusted monthly costs for women with mBC were significantly higher than for women with earlier-stage breast cancer and non-cancer controls for all age groups and treatment phases except the initial treatment among women with stage 3 breast cancer at diagnosis. The largest expected total costs were for women aged 18-44 with mBC during the continuing phase ($209,961 95% Confidence Interval $165,736-254,186).

CONCLUSIONS

We found substantial excess costs for mBC among younger women and during the continuing and terminal phases of survivorship. It is important to assess whether this care is high value for these women.

Awareness of breast cancer risk related to a positive family history and alcohol consumption among women aged 15-44 years in United States

Awareness of the link between breast cancer and risk factors such as family history of breast cancer and alcohol consumption may help modify health behaviors. To reduce risk factors for breast cancer among young women, it is important to understand overall levels of risk awareness and socioeconomic differences in awareness. Data from the National Survey of Family Growth 2011-2015 were used to examine awareness of two risk factors for breast cancer, positive family history and alcohol consumption, among women aged 15-44 years (n = 10,940) in the United States by presence of risk factors and by socioeconomic characteristics. Prevalence of positive family history, non-binge, and binge drinking was 30%, 29%, and 31%, respectively among women aged 15-44. Awareness of positive family history of breast cancer as a risk factor for breast cancer was 88%, whereas for alcohol consumption it was 25%. Awareness of family history as a risk factor was higher among women with positive family history of breast cancer compared to those without. Current drinkers were more likely to believe that alcohol was not a risk factor for breast cancer compared to those who did not drink. Racial/ethnic minority women and those with lower education and income had lower awareness of family history as a risk factor. Awareness of alcohol consumption as a risk factor for breast cancer was low across all socioeconomic groups. Evidence-based interventions to increase risk awareness and decrease excessive alcohol use among young women are needed to reduce the risk of developing breast cancer.

Is Health Insurance Literacy Associated With Financial Hardship Among Cancer Survivors? Findings From a National Sample in the United States

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.

Utilization and Cost of Mammography Screening Among Commercially Insured Women 50 to 64 Years of Age in the United States, 2012-2016

Background: In recent years, most insurance plans eliminated cost-sharing for breast cancer screening and recommended screening intervals changed, and newer modalities-digital mammography and breast tomosynthesis-became more widely available. The objectives of this study are to examine how these changes affected utilization, frequency, and costs of breast cancer screening among commercially insured women, and to understand factors associated with utilization and frequency of screening. Materials and Methods: This study used commercial insurance claims data for women 50 to 64 years of age, continuously enrolled in commercial insurance plans during 2012-2016. Results: Of the 685,737 eligible women, 20% were not screened, 40% received annual screening, 24% received biennial screening, and 16% were screened less frequently than recommended during the time period examined. Sociodemographic factors such as age <60 years, rurality, and fee-for-service insurance were associated with low screening utilization. Patients who received annual screening incurred ∼1.78 times higher costs compared to those who received biennial screening during the study period. Digital mammography was the most costly and commonly used modality along with computer-aided detection. Conclusions: Evidence-based interventions to promote screening among women who are screened less frequently are needed along with interventions to move toward biennial screening rather than annual screening. Increasing provider awareness regarding breast cancer screening rates and frequency among various sociodemographic groups is essential to guide provider recommendations and shared decision making. The results of this study can guide targeted public health interventions to reduce barriers to screening, and can also serve as inputs for economic analyses of screening interventions and programs.

Economics of Multicomponent Interventions to Increase Breast, Cervical, and Colorectal Cancer Screening: A Community Guide Systematic Review

CONTEXT

The Community Preventive Services Task Force recently recommended multicomponent interventions to increase breast, cervical, and colorectal cancer screening based on strong evidence of effectiveness. This systematic review examines the economic evidence to guide decisions on the implementation of these interventions.

EVIDENCE ACQUISITION

A systematic literature search for economic evidence was performed from January 2004 to January 2018. All monetary values were reported in 2016 US dollars, and the analysis was completed in 2018.

EVIDENCE SYNTHESIS

Fifty-three studies were included in the body of evidence from a literature search yield of 8,568 total articles. For multicomponent interventions to increase breast cancer screening, the median intervention cost per participant was $26.69 (interquartile interval [IQI]=$3.25, $113.72), and the median incremental cost per additional woman screened was $147.64 (IQI=$32.92, $924.98). For cervical cancer screening, the median costs per participant and per additional woman screened were $159.80 (IQI=$117.62, $214.73) and $159.49 (IQI=$64.74, $331.46), respectively. Two studies reported incremental cost per quality-adjusted life year gained of $748 and $33,433. For colorectal cancer screening, the median costs per participant and per additional person screened were $36.63 (IQI=$7.70, $139.23) and $582.44 (IQI=$91.10, $1,452.12), respectively. Two studies indicated a decline in incremental cost per quality-adjusted life year gained of $1,651 and $3,817.

CONCLUSIONS

Multicomponent interventions to increase cervical and colorectal cancer screening were cost effective based on a very conservative threshold. Additionally, multicomponent interventions for colorectal cancer screening demonstrated net cost savings. Cost effectiveness for multicomponent interventions to increase breast cancer screening could not be determined owing to the lack of studies reporting incremental cost per quality-adjusted life year gained. Future studies estimating this outcome could assist implementers with decision making.

Preventive care service use among cancer survivors with serious psychological distress: An analysis of the medical expenditure panel survey data

Serious psychological distress (SPD) can adversely impact health and quality of life after cancer. The purpose of this study is to examine the association between SPD and the receipt of preventive care services and cancer screening among survivors and adults without a cancer history. A total of 12,564 cancer survivors and 160,023 adults without a cancer history as comparison group were identified from the population-based Medical Expenditure Panel Survey (2008-2015). SPD was assessed using the 6-item Kessler Psychological Distress Scale. We examined use of preventive care and cancer screening services in cancer survivors and comparison adults with/without SPD. Multivariable logistic regression models were conducted for each outcome: preventive service (i.e. blood pressure, cholesterol, influenza vaccination, routine and dental check-up) or cancer screening (i.e. mammography, Papanicolau test, colorectal cancer screening) adjusting for demographic, comorbidity, usual source of care covariates. Adjusted odds ratios and 95% confidence intervals were calculated. Prevalence of SPD was 9.8% in cancer survivors compared to 4.6% in comparison adults. Survivors with SPD were more frequent utilizers of medical care, reporting 10 or more visits to the doctor's office in the past 12 months (29.3% vs. 14.1% without SPD). Having SPD was associated with lower odds of being up-to-date with preventive service use and cancer screening among age- and gender-eligible individuals. The magnitude of the effect was greater in adults' age ≥65 years. Better coordination of care and patient-physician discussions are likely needed to improve delivery of recommended preventive services for persons with SPD.

The social and economic toll of cancer survivorship: a complex web of financial sacrifice

PURPOSE

To assess the financial outcomes and associated social and economic effects on cancer survivors and their families.

METHODS

We assessed the responses of 1656 cancer survivors to a survey with both closed- and open-ended questions about cancer-related financial sacrifices they and their family experienced and evaluated differences in financial sacrifice by reported levels of cancer-related debt.

RESULTS

The most commonly reported financial sacrifices included cutbacks on household budgets, challenges with health care insurance and costs, career/self-advancement constraints, reduction/depletion of assets, and inability to pay bills. Survivors who incurred $10,000 or more in debt were significantly more likely to report social and economic impacts, including housing concerns and strained relationships.

CONCLUSIONS

Our analysis demonstrates both the frequency with which cancer survivors and families must make financial sacrifices as a result of their cancer, and the variety of forms that this sacrifice can take, even for individuals who have health insurance. The many types of financial hardship create challenges that are unique to each survivor and family.

IMPLICATIONS FOR CANCER SURVIVORS

Interventions that allow for personalized assistance with the specific financial and social needs of cancer survivors and their families have the potential to address a critical aspect of the long-term wellbeing of this important population.

Updated medical care cost estimates for HPV-associated cancers: implications for cost-effectiveness analyses of HPV vaccination in the United States

Estimates of medical care costs for cervical and other cancers associated with human papillomavirus (HPV) are higher in studies published in recent years than in studies published before 2012. The purpose of this report is (1) to review and summarize the recent cancer cost estimates and (2) to illustrate how the estimated cost-effectiveness of HPV vaccination might change when these recent cost estimates are applied. Our literature search yielded 6 studies that provided updated medical care cost estimates for 5 HPV-associated cancers. We found that applying the current cancer cost estimates had a notable impact on the estimated medical costs averted by HPV vaccination over an extended time frame (100 years), and a moderate impact on the estimated cost per quality-adjusted life year (QALY) gained by HPV vaccination. For example, for catch-up vaccination of teenagers and young adults, applying the more recent cancer costs reduced the estimated cost per QALY gained by about $12,400. The cost studies we identified in our literature review are up-to-date and based on reliable data sources from United States settings, and can inform future studies of HPV vaccination cost-effectiveness in the United States. However, careful consideration is warranted to determine the most appropriate cost values to apply.

Health insurance literacy, financial hardship and financial sacrifices among cancer survivors in the United States

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Background: Rising costs of cancer care have imposed substantial financial burden on cancer survivors. To date, little is known about the associations between potentially modifiable patient characteristics, including health insurance literacy (HIL), on financial burden among cancer survivors. This study aimed to evaluate the associations between HIL and financial hardship and financial sacrifices among adult cancer survivors in the United States. Methods: We identified 914 adult cancer survivors from the 2016 Medical Expenditure Panel Survey Experiences with Cancer Questionnaire. HIL was measured based on the question “Did you ever have a problem understanding health insurance or medical bills related to your cancer, its treatment, or the lasting effects of that treatment?” Medical financial hardship was measured in three domains—1) material (e.g. problems paying medical bills); 2) psychological (e.g. worry about large medical bills); and 3) behavioral (e.g. delay or forego healthcare because of cost). Financial sacrifices were based on questions related to changes in spending on vacation or leisure activities. We used multivariable logistic regression modeling to separately evaluate the associations between HIL problems and 1) financial hardship and 2) financial sacrifices. Results: 18.9% cancer survivors aged 18-64 years and 14.6% survivors ≥65 years reported HIL problems. Regardless of age groups, cancer survivors with HIL problems were more likely to report any material (OR =3.2; 95% CI:1.9-5.2) or psychological (OR=7.2; 95% CI: 4.1-12.7) financial hardship than those without the problems, as well as more likely to delay or forgo multiple medical care due to cost, including prescription medicine (OR=3.6; 95% CI: 1.8-7.1), specialist visit (OR=2.6; 95% CI: 1.2-5.8), and follow-up care (OR=2.1, 95% CI 1.2-4.0). Higher likelihood of reporting all measures of financial sacrifices were observed among those with HIL problems in both age groups (all p<0.05). Conclusions: Cancer survivors with HIL problems were more likely to report financial hardship and financial sacrifices than those without the problems. Improving HIL may help mitigate financial hardship.

Cost-effectiveness of breast cancer screening in the National Breast and Cervical Cancer Early Detection Program

PURPOSE

To estimate the cost-effectiveness of breast cancer screening in the National Breast and Cervical Cancer Early Detection Program (NBCCEDP).

METHODS

Using a modified CISNET breast cancer simulation model, we estimated outcomes for women aged 40-64 years associated with three scenarios: breast cancer screening within the NBCCEDP, screening in the absence of the NBCCEDP (no program), and no screening through any program. We report screening outcomes, cost, quality-adjusted life-years (QALYs), incremental cost-effectiveness ratios (ICERs), and sensitivity analyses results.

RESULTS

Compared with no program and no screening, the NBCCEDP lowers breast cancer mortality and improves QALYs, but raises health care costs. Base-case ICER for the program was $51,754/QALY versus no program and $50,223/QALY versus no screening. Probabilistic sensitivity analysis ICER for the program was $56,615/QALY [95% CI $24,069, $134,230/QALY] versus no program and $51,096/QALY gained [95% CI $26,423, $97,315/QALY] versus no screening.

CONCLUSIONS

On average, breast cancer screening in the NBCCEDP was cost-effective compared with no program or no screening.

The Burden of Primary Liver Cancer and Underlying Etiologies From 1990 to 2015 at the Global, Regional, and National Level: Results From the Global Burden of Disease Study 2015

Importance

Objective

Design, Settings, and Participants

Main Outcomes and Measures

Results

Conclusions and Relevance

Question

Findings

Meaning

Colorectal Cancer Screening: Preferences, Past Behavior, and Future Intentions

BACKGROUND

Screening rates for colorectal cancer are below the Healthy People 2020 goal. There are several colorectal cancer screening tests that differ in terms of accuracy, recommended frequency, and administration. In this article, we compare how a set of personal characteristics correlates with preferences for colorectal cancer screening test attributes, past colorectal cancer screening behavior, and future colorectal cancer screening intentions.

METHODS

We conducted a discrete-choice experiment survey to assess relative preferences for attributes of colorectal cancer screening tests among adults aged 50-75 years in USA. We used a latent class logit model to identify classes of preferences and calculated willingness to pay for changes in test attributes. A set of personal characteristics were included in the latent class analysis and analyses of self-reported past screening behavior and self-assessed likelihood of future colorectal cancer screening.

RESULTS

Latent class analysis identified three types of respondents. Class 1 valued test accuracy, class 2 valued removing polyps and avoiding discomfort, and class 3 valued cost. Having had a prior colonoscopy and a higher income were predictors of the likelihood of future screening and membership in classes 1 and 2. Health insurance and a self-reported higher risk of developing colorectal cancer were associated with prior screening and higher future screening intentions, but not class membership.

CONCLUSION

We identified distinct classes of preferences focusing on different test features and personal characteristics associated with reported behavior and intentions. Healthcare providers should engage in a careful assessment of patient preferences when recommending colorectal cancer test options to encourage colorectal cancer screening uptake.

Cost-effectiveness of nonavalent HPV vaccination among males aged 22 through 26 years in the United States

INTRODUCTION

In the United States, routine human papillomavirus (HPV) vaccination is recommended for females and males at age 11 or 12 years; the series can be started at age 9 years. Vaccination is also recommended for females through age 26 years and males through age 21 years. The objective of this study was to assess the health impact and cost-effectiveness of harmonizing female and male vaccination recommendations by increasing the upper recommended catch-up age of HPV vaccination for males from age 21 to age 26 years.

METHODS

We updated a published model of the health impact and cost-effectiveness of 9-valent human papillomavirus vaccine (9vHPV). We examined the cost-effectiveness of (1) 9vHPV for females aged 12 through 26 years and males aged 12 through 21 years, and (2) an expanded program including males through age 26 years.

RESULTS

Compared to no vaccination, providing 9vHPV for females aged 12 through 26 years and males aged 12 through 21 years cost an estimated $16,600 (in 2016 U.S. dollars) per quality-adjusted life year (QALY) gained. The estimated cost per QALY gained by expanding male vaccination through age 26 years was $228,800 and ranged from $137,900 to $367,300 in multi-way sensitivity analyses.

CONCLUSIONS

The cost-effectiveness ratios we estimated are not so favorable as to make a strong economic case for recommending expanding male vaccination, yet are not so unfavorable as to preclude consideration of expanding male vaccination. The wide range of plausible results we obtained may underestimate the true degree of uncertainty, due to model limitations. For example, the cost per QALY might be less than our lower bound estimate of $137,900 had our model allowed for vaccine protection against re-infection. Models that specifically incorporate men who have sex with men (MSM) are needed to provide a more comprehensive assessment of male HPV vaccination strategies.

Systematic review of healthcare costs related to mental health conditions among cancer survivors

INTRODUCTION

This systematic review examines healthcare costs associated with mental health conditions among cancer survivors in the United States.

AREAS COVERED

Ten published studies were identified. Studies varied substantially in terms of population, mental health conditions examined, data collection methods, and type of cost reported. Cancer survivors with mental health conditions incurred significantly higher total medical costs and costs of most service types compared to cancer survivors without a mental health condition. Additionally, the total healthcare expenditure related to mental health was higher among cancer survivors compared with people without history of cancer.

EXPERT COMMENTARY

Mental health conditions are associated with increased healthcare costs among cancer survivors. Future examination of other components of economic burden, including patient out-of-pocket costs, nonmedical costs, such as transportation, childcare, and productivity losses for patients and their caregivers, will be important. Additionally, evaluation of economic burden by cancer site, stage at diagnosis, duration of survivorship, and treatment(s) will increase understanding of the overall impact of mental health conditions on cancer survivors and on the healthcare system.

ROLE OF CANCER HISTORY AND GENDER IN MAJOR HEALTH INSURANCE TRANSITIONS: A LONGITUDINAL NATIONALLY REPRESENTATIVE STUDY

PURPOSE –

To examine associations by gender between cancer history and major health insurance transitions (gains and losses), and relationships between insurance transitions and access to care.

METHODOLOGY –

Longitudinal 2008-2013 Medical Expenditure Panel Survey data pooled yielding 2,223 cancer survivors and 50,692 individuals with no cancer history ages 18-63 years upon survey entry, with gender-specific sub-analyses. Access-to-care implications of insurance loss or gain were compared by cancer history and gender.

FINDINGS –

Initially uninsured cancer survivors were significantly more likely to gain insurance coverage than individuals with no cancer history (RR: 1.25; 95% CI: 1.08-1.44). Females in particular were significantly more likely to gain insurance (unmarried RR: 1.16; 95% CI: 1.06-1.28; married RR: 1.09; 95% CI: 1.02-1.16). Significantly higher rates of difficulty accessing needed medical care and prescription medications were reported by those remaining uninsured, those who lost insurance, and women in general. Remaining uninsured, losing insurance, and male gender were associated with lack of a usual source of care.

RESEARCH IMPLICATIONS –

Additional outreach to disadvantaged populations is needed to improve access to affordable insurance and medical care. Future longitudinal studies should assess whether major Affordable Care Act (ACA) provisions enacted after the 2008-2013 study period (or those of ACA's replacement) are addressing these important issues.

ORIGINALITY –

Loss of health insurance coverage can reduce health care access resulting in poor health outcomes. Cancer survivors may be particularly at risk of insurance coverage gaps due to the long-term chronic disease trajectory. This study is novel in exploring associations between cancer history by gender and health insurance transitions, both gains and losses, in a national non-elderly adult sample.

Impact of sociodemographic characteristics on underemployment in a longitudinal, nationally representative study of cancer survivors: Evidence for the importance of gender and marital status

BACKGROUND

We examined the longitudinal association between sociodemographic factors and an expanded definition of underemployment among those with and without cancer history in the United States.

METHODS

Medical Expenditure Panel Survey data (2007-2013) were used in multivariable regression analyses to compare employment status between baseline and two-year follow-up among adults aged 25-62 years at baseline (n = 1,614 with and n = 39,324 without cancer). Underemployment was defined as becoming/staying unemployed, changing from full to part-time, or reducing part-time work significantly. Interaction effects between cancer history/time since diagnosis and predictors known to be associated with employment patterns, including age, gender/marital status, education, and health insurance status at baseline were modeled.

RESULTS

Approximately 25% of cancer survivors and 21% of individuals without cancer reported underemployment at follow-up (p = 0.002). Multivariable analyses indicated that those with a cancer history report underemployment more frequently (24.7%) than those without cancer (21.4%, p = 0.002) with underemployment rates increasing with time since cancer diagnosis. A significant interaction between gender/marital status and cancer history and underemployment was found (p = 0.0004). There were no other significant interactions. Married female survivors diagnosed >10 years ago reported underemployment most commonly (38.7%), and married men without cancer reported underemployment most infrequently (14.0%). A wider absolute difference in underemployment reports for married versus unmarried women as compared to married versus unmarried men was evident, with the widest difference apparent for unmarried versus married women diagnosed >10 years ago (18.1% vs. 38.7%).

CONCLUSION

Cancer survivors are more likely to experience underemployment than those without cancer. Longer time since cancer diagnosis and gender/marital status are critical factors in predicting those at greatest risk of underemployment. The impact of cancer on work should be systematically studied across sociodemographic groups and recognized as a component of comprehensive survivorship care.

Changes in Health Insurance Coverage Associated With the Affordable Care Act Among Adults With and Without a Cancer History: Population-based National Estimates

BACKGROUND

The Affordable Care Act (ACA) improved health care coverage accessibility by expanding Medicaid eligibility, creating insurance Marketplaces, and subsidizing premiums. We examine coverage changes associated with ACA implementation, comparing adults with and without a cancer history.

METHODS

We included nonelderly adults from the 2012 to 2015 National Health Interview Survey. Using information on state Medicaid policies (2013), expansion decisions (2015), family structure, income, insurance offers, and current coverage, we assigned adults in all 4 years to mutually exclusive eligibility categories including: Medicaid-eligible pre-ACA; expansion eligible for Medicaid; and Marketplace premium subsidy eligible. Linear probability regressions estimated pre-post (2012-2013 vs. 2014-2015) coverage changes by eligibility category, stratified by cancer history.

RESULTS

The uninsured rate for cancer survivors decreased from 12.4% to 7.7% (P<0.001) pre-post ACA implementation. Relative to income >400% of the federal poverty guideline, the uninsured rate for cancer survivors decreased by an adjusted 8.4 percentage points [95% confidence interval (CI), 1.3-15.6] among pre-ACA Medicaid eligible; 16.7 percentage points (95% CI, 9.0-24.5) among expansion eligible, and 11.3 percentage points (95% CI, -0.8 to 23.5, with a trend P=0.069) for premium subsidy eligible. Decreases in uninsured among expansion-eligible adults without a cancer history [9.7 percentage points (95% CI, 7.4-12.0), were smaller than for cancer survivors (with a trend, P=0.086)]. Despite coverage gains, ∼528,000 cancer survivors and 19.1 million without a cancer history remained uninsured post-ACA, yet over half were eligible for Medicaid or subsidized Marketplace coverage.

CONCLUSIONS

ACA implementation was associated with large coverage gains in targeted expansion groups, including cancer survivors, but additional progress is needed.

Exploring barriers to the receipt of necessary medical care among cancer survivors under age 65 years

PURPOSE

With increasing cancer care costs and greater patient cost-sharing in the USA, understanding access to medical care among cancer survivors is imperative. This study aims to identify financial, psychosocial, and cancer-related barriers to the receipt of medical care, tests, or treatments deemed necessary by the doctor or patient for cancer among cancer survivors age < 65 years.

METHODS

We used data on 4321 cancer survivors aged 18-64 years who completed the 2012 LIVESTRONG Survey. Multivariable logistic regression was used to identify risk factors associated with the receipt of necessary medical care, including sociodemographic, financial hardship, debt amount, caregiver status, and cancer-related variables.

RESULTS

Approximately 28% of cancer survivors were within 1 year, and 43% between 1 and 5 years, since their last treatment at the time of survey. Nearly 9% of cancer survivors reported not receiving necessary medical care. Compared to survivors without financial hardship, the likelihood of not receiving necessary medical care significantly increased as the amount of debt increased among those with financial hardship (RRFinancial hardship w/< $10,000 debt = 1.94, 95% CI 1.55-2.42, and RR RRFinancial hardship w/≥ $10,000 debt = 3.41, 95% CI 2.69-4.33, p < 0.001). Survivors who reported lack of a caregiver, being uninsured, and not receiving help understanding medical bills were significantly more likely to not receive necessary medical care.

CONCLUSION

We identified key financial and insurance risk factors that may serve as significant barriers to the receipt of necessary medical care among cancer survivors age < 65 in the USA IMPLICATIONS FOR CANCER SURVIVORS: The majority of cancer survivors reported receiving medical care either they or their doctors deemed necessary. However, identifying potentially modifiable barriers to receipt of necessary medical cancer care among cancer survivors age < 65 is imperative for developing interventions to ensure equitable access to care and reducing cancer disparities.

Estimating health benefits and cost-savings for achieving the Healthy People 2020 objective of reducing invasive colorectal cancer

This study aims to quantify the aggregate potential life-years (LYs) saved and healthcare cost-savings if the Healthy People 2020 objective were met to reduce invasive colorectal cancer (CRC) incidence by 15%. We identified patients (n=886,380) diagnosed with invasive CRC between 2001 and 2011 from a nationally representative cancer dataset. We stratified these patients by sex, race/ethnicity, and age. Using these data and data from the 2001-2011 U.S. life tables, we estimated a survival function for each CRC group and the corresponding reference group and computed per-person LYs saved. We estimated per-person annual healthcare cost-savings using the 2008-2012 Medical Expenditure Panel Survey. We calculated aggregate LYs saved and cost-savings by multiplying the reduced number of CRC patients by the per-person LYs saved and lifetime healthcare cost-savings, respectively. We estimated an aggregate of 84,569 and 64,924 LYs saved for men and women, respectively, accounting for healthcare cost-savings of $329.3 and $294.2 million (in 2013$), respectively. Per person, we estimated 6.3 potential LYs saved related to those who developed CRC for both men and women, and healthcare cost-savings of $24,000 for men and $28,000 for women. Non-Hispanic whites and those aged 60-64 had the highest aggregate potential LYs saved and cost-savings. Achieving the HP2020 objective of reducing invasive CRC incidence by 15% by year 2020 would potentially save nearly 150,000 life-years and $624 million on healthcare costs.

A new methodological approach to adjust alcohol exposure distributions to improve the estimation of alcohol-attributable fractions

BACKGROUND AND AIMS

To assess the burden of excessive alcohol use, researchers estimate alcohol-attributable fractions (AAFs) routinely. However, under-reporting in survey data can bias these estimates. We present an approach that adjusts for under-reporting in the estimation of AAFs, particularly within subgroups. This framework is a refinement of a previous method conducted by Rehm et al.

METHODS

We use a measurement error model to derive the 'true' alcohol distribution from a 'reported' alcohol distribution. The 'true' distribution leverages per-capita sales data to identify the distribution average and then identifies the shape of the distribution with self-reported survey data. Data are from the National Alcohol Survey (NAS), the National Household Survey on Drug Abuse (NHSDA) and the National Epidemiologic Survey on Alcohol and Related Conditions (NESARC). We compared our approach with previous approaches by estimating the AAF of female breast cancer cases.

RESULTS

Compared with Rehm et al.'s approach, our refinement performs similarly under a gamma assumption. For example, among females aged 18-25 years, the two approaches produce estimates from NHSDA that are within a percentage point. However, relaxing the gamma assumption generally produces more conservative evidence. For example, among females aged 18-25 years, estimates from NHSDA based on the best-fitting distribution are only 19.33% of breast cancer cases, which is a much smaller proportion than the gamma-based estimates of approximately 28%.

CONCLUSIONS

A refinement of Rehm et al.'s approach to adjusting for underreporting in the estimation of alcohol-attributable fractions provides more flexibility. This flexibility can avoid biases associated with failing to account for the underlying differences in alcohol consumption patterns across different study populations. Comparisons of our refinement with Rehm et al.'s approach show that results are similar when a gamma distribution is assumed. However, results are appreciably lower when the best-fitting distribution is chosen versus gamma-based results.

Estimation of Breast Cancer Incident Cases and Medical Care Costs Attributable to Alcohol Consumption Among Insured Women Aged <45 Years in the U.S

INTRODUCTION

This study estimated the percentage of breast cancer cases, total number of incident cases, and total annual medical care costs attributable to alcohol consumption among insured younger women (aged 18-44 years) by type of insurance and stage at diagnosis.

METHODS

The study used the 2012-2013 National Survey on Drug Use and Health, cancer incidence data from two national registry programs, and published relative risk measures to estimate the: (1) alcohol-attributable fraction of breast cancer cases among younger women by insurance type; (2) total number of breast cancer incident cases attributable to alcohol consumption by stage at diagnosis and insurance type among younger women; and (3) total annual medical care costs of treating breast cancer incident cases attributable to alcohol consumption among younger women. Analyses were conducted in 2016; costs were expressed in 2014 U.S. dollars.

RESULTS

Among younger women enrolled in Medicaid, private insurance, and both groups, 8.7% (95% CI=7.4%, 10.0%), 13.8% (95% CI=13.3%, 14.4%), and 12.3% (95% CI=11.4%, 13.1%) of all breast cancer cases, respectively, were attributable to alcohol consumption. Localized stage was the largest proportion of estimated attributable incident cases. The estimated total number of breast cancer incident alcohol-attributable cases was 1,636 (95% CI=1,570, 1,703) and accounted for estimated total annual medical care costs of $148.4 million (95% CI=$140.6 million, $156.1 million).

CONCLUSIONS

Alcohol-attributable breast cancer has estimated medical care costs of nearly $150 million per year. The current findings could be used to support evidence-based interventions to reduce alcohol consumption in younger women.

Economic Burden of Chronic Conditions Among Survivors of Cancer in the United States

Purpose The prevalence of cancer survivorship and chronic health conditions is increasing. Limited information exists on the economic burden of chronic conditions among survivors of cancer. This study examines the prevalence and economic effect of chronic conditions among survivors of cancer. Methods Using the 2008 to 2013 Medical Expenditure Panel Survey, we present nationally representative estimates of the prevalence of chronic conditions (heart disease, high blood pressure, stroke, emphysema, high cholesterol, diabetes, arthritis, and asthma) and multiple chronic conditions (MCCs) and the incremental annual health care use, medical expenditures, and lost productivity for survivors of cancer attributed to individual chronic conditions and MCCs. Incremental use, expenditures, and lost productivity were evaluated with multivariable regression. Results Survivors of cancer were more likely to have chronic conditions and MCCs compared with adults without a history of cancer. The presence of chronic conditions among survivors of cancer was associated with substantially higher annual medical expenditures, especially for heart disease ($4,595; 95% CI, $3,262 to $5,927) and stroke ($3,843; 95% CI, $1,983 to $5,704). The presence of four or more chronic conditions was associated with increased annual expenditures of $10,280 (95% CI, $7,435 to $13,125) per survivor of cancer. Annual lost productivity was higher among survivors of cancer with other chronic conditions, especially stroke ($4,325; 95% CI, $2,687 to $5,964), and arthritis ($3,534; 95% CI, $2,475 to $4,593). Having four or more chronic conditions was associated with increased annual lost productivity of $9,099 (95% CI, $7,224 to $10,973) per survivor of cancer. The economic impact of chronic conditions was similar among survivors of cancer and individuals without a history of cancer. Conclusion These results highlight the importance of ensuring access to lifelong personalized screening, surveillance, and chronic disease management to help manage chronic conditions, reduce disruptions in employment, and reduce medical expenditures among survivors of cancer.