Impact of the Affordable Care Act on access to accredited facilities for cancer treatment.

OBJECTIVE: To examine differential changes in receipt of surgery at National Cancer Institute (NCI)-designated comprehensive cancer centers (NCI-CCC) and Commission on Cancer (CoC) accredited hospitals for patients with cancer more likely to be newly eligible for coverage under Affordable Care Act (ACA) insurance expansions, relative to those less likely to have been impacted by the ACA. DATA SOURCES AND STUDY SETTING: Pennsylvania Cancer Registry (PCR) for 2010-2019 linked with discharge records from the Pennsylvania Health Care Cost Containment Council (PHC4). STUDY DESIGN: Outcomes include whether cancer surgery was performed at an NCI-CCC or a CoC-accredited hospital. We conducted a difference-in-differences analysis, estimating linear probability models for each outcome that control for residence in a county with above median county-level pre-ACA uninsurance and the interaction between county-level baseline uninsurance and cancer treatment post-ACA to capture differential changes in access between those more and less likely to become newly eligible for insurance coverage (based on area-level proxy). All models control for age, sex, race and ethnicity, cancer site and stage, census-tract level urban/rural residence, Area Deprivation Index, and year- and county-fixed effects. DATA COLLECTION/EXTRACTION METHODS: We identified adults aged 26-64 in PCR with prostate, lung, or colorectal cancer who received cancer-directed surgery and had a corresponding surgery discharge record in PHC4. PRINCIPAL FINDINGS: We observe a differential increase in receiving care at an NCI-CCC of 6.2 percentage points (95% CI: 2.6-9.8; baseline mean = 9.8%) among patients in high baseline uninsurance areas (p = 0.001). Our estimate of the differential change in care at the larger set of CoC hospitals is positive (3.9 percentage points [95% CI: -0.5-8.2; baseline mean = 73.7%]) but not statistically significant (p = 0.079). CONCLUSIONS: Our findings suggest that insurance expansions under the ACA were associated with increased access to NCI-CCCs.

Antibiotic Receipt for Pediatric Telemedicine Visits With Primary Care vs Direct-to-Consumer Vendors.

Importance: Prior research found that pediatric direct-to-consumer (DTC) telemedicine visits are associated with more antibiotic prescribing than in-person primary care visits. It is unclear whether this difference is associated with modality of care (telemedicine vs in-person) or with the context of telemedicine care (primary care vs not primary care). Objective: To compare antibiotic management during telemedicine visits with primary care practitioners (PCPs) vs commercial direct-to-consumer (DTC) telemedicine companies for pediatric acute respiratory tract infections (ARTIs). Design, Setting, and Participants: This retrospective, cross-sectional study of visits for ARTIs by commercially insured children 17 years of age or younger analyzed deidentified medical and pharmacy claims in OptumLabs Data Warehouse data, a national sample of commercial enrollees, between January 1 and December 31, 2022. Exposure: Setting of telemedicine visit as PCP vs DTC. Main Outcomes and Measures: The primary outcome was percentage of visits with antibiotic receipt. Secondary outcomes were the percentages of visits with diagnoses for which prescription of an antibiotic was potentially appropriate, guideline-concordant antibiotic management, and follow-up ARTI visits within the ensuing 1 to 2 days and 3 to 14 days. The ARTI telemedicine visits with PCP vs DTC telemedicine companies were matched on child demographic characteristics. Generalized estimated equation log-binomial regression models were used to compute marginal outcomes. Results: In total, data from 27 686 children (mean [SD] age, 8.9 [5.0] years; 13 893 [50.2%] male) were included in this study. There were 14 202 PCP telemedicine index visits matched to 14 627 DTC telemedicine index visits. The percentage of visits involving receipt of an antibiotic was lower for PCP (28.9% [95% CI, 28.1%-29.7%]) than for DTC (37.2% [95% CI, 36.0%-38.5%]) telemedicine visits. Additionally, fewer PCP telemedicine visits involved receipt of a diagnosis in which the use of antibiotics may be appropriate (19.0% [95% CI, 18.4%-19.7%] vs 28.4% [95% CI, 27.3%-29.6%]), but no differences were observed in receipt of nonguideline-concordant antibiotic management based on a given diagnosis between PCP (20.2% [95% CI, 19.5%-20.9%]) and DTC (20.1% [95% CI, 19.1%-21.0%]) telemedicine visits. Fewer PCP telemedicine visits involved a follow-up visit within the ensuing 1 to 2 days (5.0% [95% CI, 4.7%-5.4%] vs 8.0% [95% CI, 7.3%-8.7%]) and 3 to 14 days (8.2% [95% CI, 7.8%-8.7%] vs 9.6% [95% CI, 8.8%-10.3%]). Conclusions and Relevance: Compared with virtual-only DTC telemedicine companies, telemedicine integrated within primary care was associated with lower rates of antibiotic receipt and follow-up care. Supporting use of telemedicine integrated within pediatric primary care may be one strategy to reduce antibiotic receipt through telemedicine visits.

Association of Medicare eligibility with access to and affordability of care among older cancer survivors.

PURPOSE: Older cancer survivors have substantial needs for ongoing care, but they may encounter difficulties accessing care due to cost concerns. We examined whether near-universal insurance coverage through Medicare-a key source of health insurance coverage in this population-is associated with improvements in care access and affordability among older cancer survivors around age 65. METHODS: In a nationally representative sample of cancer survivors (aged 50-80) from 2006-2018 National Health Interview Survey, we employed a quasi-experimental, regression discontinuity design to estimate changes in insurance coverage, delayed/skipped care due to cost, and worries about or problems paying medical bills at age 65. RESULTS: Medicare coverage sharply increased from 8.3% at age 64 to 98.2% at age 65, ensuring near-universal insurance coverage (99.5%). Medicare eligibility at age 65 was associated with reductions in delayed/skipped care due to cost (discontinuity, - 5.7 percentage points or pp; 95% CI, - 8.1, - 3.3; P < .001), worries about paying for medical bills (- 7.7 pp; 95% CI, - 12.0, - 3.2; P = .001), and problems paying medical bills (- 3.2 pp; 95% CI, - 6.1, - 0.2; P = .036). However, a sizable proportion reported any access or affordability problems (29.7%) between ages 66 and 80. CONCLUSIONS: Near-universal Medicare coverage at age 65 was associated with a reduction-but not elimination-of access and affordability problems among cancer survivors. IMPLICATIONS FOR CANCER SURVIVORS: These findings reaffirm the role of Medicare in improving access and affordability for older cancer survivor and highlight opportunities for reforms to further alleviate financial burden of care in this population.

Early impacts of the Pennsylvania Rural Health Model on potentially avoidable utilization.

The Pennsylvania Rural Health Model (PARHM) is a novel alternative payment model for rural hospitals that aims to test whether hospital-based global budgets, coupled with delivery transformation plans, improve the quality of health care and health outcomes in rural communities. Eighteen hospitals joined PARHM in 3 cohorts between 2019 and 2021. This study assessed PARHM's impact on changes in potentially avoidable utilization (PAU)-a measure of admission rates policymakers explicitly targeted for improvement in PARHM. Using a difference-in-differences analysis and all-payer hospital discharge data for Pennsylvania hospitals from 2016 through 2022, we found no significant overall reduction in community-level PAU rates up to 4 years post-PARHM implementation, relative to changes in rural Pennsylvania communities whose hospitals did not join PARHM. However, heterogeneous treatment effects were observed across cohorts that joined PARHM in different years, and between critical access vs prospective payment system hospitals. These findings offer insight into how alternative payment models in rural health care settings may have heterogeneous impacts based on contextual factors and highlight the importance of accounting for these factors in proposed expansions of alternative payment models for rural health systems.

Urban-Rural Differences in Receipt of Cancer Surgery at High-Volume Hospitals and Sensitivity to Hospital Volume Thresholds.

Methods for identifying high-volume hospitals affect conclusions about rural cancer care access.

Building Data Infrastructure for Disease-Focused Health Economics Research.

BACKGROUND: Data infrastructure for cancer research is centered on registries that are often augmented with payer or hospital discharge databases, but these linkages are limited. A recent alternative in some states is to augment registry data with All-Payer Claims Databases (APCDs). These linkages capture patient-centered economic outcomes, including those driven by insurance and influence health equity, and can serve as a prototype for health economics research. OBJECTIVES: To describe and assess the utility of a linkage between the Colorado APCD and Colorado Central Cancer Registry (CCCR) data for 2012-2017. RESEARCH DESIGN, PARTICIPANTS, AND MEASURES: This cohort study of 91,883 insured patients evaluated the Colorado APCD-CCCR linkage on its suitability to assess demographics, area-level data, insurance, and out-of-pocket expenses 3 and 6 months after cancer diagnosis. RESULTS: The linkage had high validity, with over 90% of patients in the CCCR linked to the APCD, but gaps in APCD health plans limited available claims at diagnosis. We highlight the advantages of the CCCR-APCD, such as granular race and ethnicity classification, area-level data, the ability to capture supplemental plans, medical and pharmacy out-of-pocket expenses, and transitions in insurance plans. CONCLUSIONS: Linked data between registries and APCDs can be a cornerstone of a robust data infrastructure and spur innovations in health economics research on cost, quality, and outcomes. A larger infrastructure could comprise a network of state APCDs that maintain linkages for research and surveillance.

Assessing characteristics of populations seen at Commission on Cancer facilities using Pennsylvania linked data.

Commission on Cancer (CoC) accreditation certifies facilities provide quality care. We assessed differences among patients who do and do not visit CoC facilities using Pennsylvania Cancer Registry data linked to facility records for patients diagnosed with cancer between 2018 and 2019 (n = 87 472). Predicted probabilities from multivariable logistic regression indicated patients in the most advantaged Area Deprivation Index quartiles were more likely to visit CoC facilities (78.0%, 95% confidence interval [CI] = 77.5% to 78.6%) compared with other quartiles. Urban patients (74.1%, 95% CI = 73.8% to 74.4%) were more likely than rural to be seen at a CoC facility (62.7%, 95% CI = 61.2% to 64.2%) as were Hispanic patients (88.0%, 95% CI = 86.7% to 89.3%) and non-Hispanic Black patients (79.1%, 95% CI = 78.1% to 80.0%) compared with White patients (72.0%, 95% CI = 71.7% to 72.4%). Differences in demographics suggest CoC data may underrepresent some groups, including low-income and rural patients.

Improving Identification of Medicaid Eligible Community-Dwelling Older Adults in Major Household Surveys with Limited Income or Asset Information.

Analysis of public policy affecting dual eligibles requires accurate identification of survey respondents eligible for both Medicare and Medicaid. Doing so for Medicaid is particularly challenging given the complex eligibility rules tied to income and assets. In this paper we provide guidance on how to best identify eligible respondents in household surveys that have limited income or asset information, such as the National Health Interview Survey (NHIS), American Community Survey (ACS), Current Population Survey (CPS), and Medical Expenditure Panel Survey (MEPS). We show how two types of errors-false negative and false positive errors-are impacted by incorporating limited income or asset information, relative to the commonly-used approach of solely comparing total income to the income threshold. With the 2018 Health and Retirement Study (HRS), which has detailed income and asset information, we mimic the income and asset information available in those other household surveys and quantify how errors change when imposing income or asset tests with limited information. We show that incorporating all available income and asset data results in the lowest number of errors and the lowest overall error rates. We recommend that researchers adjust income and impose the asset test to the fullest extent possible when imputing Medicaid eligibility for Medicare enrollees.

Comparison of primary payer in cancer registry and discharge data.

OBJECTIVES: To determine agreement between variables capturing the primary payer at cancer diagnosis across the Pennsylvania Cancer Registry (PCR) and statewide facility discharge records (Pennsylvania Health Care Cost Containment Council [PHC4]) for adults younger than 65 years, and to specifically examine factors associated with misclassification of Medicaid status in the registry given the role of managed care. STUDY DESIGN: Cross-sectional analysis of the primary cancer cases among adults aged 21 to 64 years in the PCR from 2010 to 2016 linked to the PHC4 facility visit records. METHODS: We assessed agreement of payer at diagnosis (Medicare, Medicaid, private, other, uninsured, unknown) across data sources, including positive predictive value (PPV) and sensitivity, using the PHC4 records as the gold standard. The probability of misclassifying Medicaid in registry was estimated using multivariate logit models. RESULTS: Agreement of payers was high for private insurance (PPV, 89.7%; sensitivity, 83.6%), but there was misclassification and/or underreporting of Medicaid in the registry (PPV, 80%; sensitivity, 58%). Among cases with "other" and "unknown" insurance, 73.8% and 62.1%, respectively, had private insurance according to the PHC4 records. Medicaid managed care was associated with a statistically significant increase of 12.6 percentage points (95% CI, 9.4-15.8) in the probability of misclassifying Medicaid enrollment as private insurance in the registry. CONCLUSIONS: Findings suggest caution in conducting and interpreting research using insurance variables in cancer registries.

Enrollee characteristics and receipt of colorectal cancer testing in Pennsylvania after adoption of the Affordable Care Act Medicaid expansion.

BACKGROUND: Colorectal cancer (CRC) is the fourth most common cancer and the second leading cause of cancer-related death in the U.S. Despite increased CRC screening rates, they remain low among low-income non-older adults, including Medicaid enrollees who are more likely to be diagnosed at advanced stages. OBJECTIVES: Given limited evidence regarding CRC screening service use among Medicaid enrollees, we examined multilevel factors associated with CRC testing among Medicaid enrollees in Pennsylvania after Medicaid expansion in 2015. RESEARCH DESIGN: Using the 2014-2019 Medicaid administrative data, we performed multivariable logistic regression models to assess factors associated with CRC testing, adjusting for enrollment length and primary care services use. SUBJECTS: We identified 15,439 adults aged 50-64 years newly enrolled through Medicaid expansion. MEASURES: Outcome measures include receiving any CRC testing and by modality. RESULTS: About 32% of our study population received any CRC testing. Significant predictors for any CRC testing include being male, being Hispanic, having any chronic conditions, using primary care services ≤4 times annually, and having a higher county-level median household income. Being 60-64 years at enrollment, using primary care services >4 times annually, and having higher county-level unemployment rates were significantly associated with a decreased likelihood of receiving any CRC tests. CONCLUSIONS: CRC testing rates were low among adults newly enrolled in Medicaid under the Medicaid expansion in Pennsylvania relative to adults with high income. We observed different sets of significant factors associated with CRC testing by modality. Our findings underscore the urgency to tailor strategies by patients' racial, geographic, and clinical conditions for CRC screening.

High Deductible Health Plans and Use of Free Preventive Services Under the Affordable Care Act.

The Affordable Care Act aimed to increase use of preventive services by eliminating cost-sharing to consumers. However, patients may be unaware of this benefit or they may not seek preventive services if they anticipate that the cost of potential diagnostic or treatment services will be too high, both more likely among those in high deductible health plans. We used nationally representative private health insurance claims (100% sample of IBM® MarketScan®) for the United States from 2006 to 2018, restricting the data to enrollment and claims for non-elderly adults who were enrolled for the full plan year. The cross-sectional sample (185 million person-years) is used to describe trends in preventive service use and costs from 2008 through 2016. The cohort sample (9 million people) focuses on the elimination of cost-sharing for certain high-value preventive services in late 2010, requiring continuous enrollment across 2010 and 2011. We examine whether HDHP enrollment is associated with use of eligible preventive services using semi-parametric difference-in-differences to account for endogenous plan selection. Our preferred model implies that HDHP enrollment was associated with a reduction of the post-ACA change in any use of eligible preventive services by 0.2 percentage points or 12.5%. Cancer screenings were unaffected but HDHP enrollment was associated with smaller increases in wellness visits, immunizations, and screening for chronic conditions and sexually transmitted infections. We also find that the policy was ineffective at reducing out-of-pocket costs for the eligible preventive services, likely due to implementation issues.

Longitudinal Analysis of Caregiver Burden in Head and Neck Cancer.

Importance: Despite the critical role of caregivers in head and neck cancer (HNC), there is limited literature on caregiver burden (CGB) and its evolution over treatment. Research is needed to address evidence gaps that exist in understanding the causal pathways between caregiving and treatment outcomes. Objective: To evaluate the prevalence of and identify risk factors for CGB in HNC survivorship. Design, Setting, and Participants: This longitudinal prospective cohort study took place at the University of Pittsburgh Medical Center. Dyads of treatment-naive patients with HNC and their caregivers were recruited between October 2019 and December 2020. Eligible patient-caregiver dyads were 18 years or older and fluent in English. Patients undergoing definitive treatment identified a caregiver as the primary, nonprofessional, nonpaid person who provided the most assistance to them. Among 100 eligible dyadic participants, 2 caregivers declined participation, resulting in 96 enrolled participants. Data were analyzed from September 2021 through October 2022. Main Outcomes and Measures: Participants were surveyed at diagnosis, 3 months postdiagnosis, and 6 months postdiagnosis. Caregiver burden was evaluated with the 19-item Social Support Survey (scored 0-100, with higher scores indicating more support), Caregiver Reaction Assessment (CRA; scored 0-5, with higher scores on 4 subscales [disrupted schedule, financial problems, lack of family support, and health problems] indicating negative reactions, and higher scores on the fifth subscale [self-esteem] indicating favorable influence); and 3-item Loneliness Scale (scored 3-9, with higher scores indicating greater loneliness). Patient health-related quality of life was assessed using the University of Washington Quality of Life scale (UW-QOL; scored 0-100, with higher scores indicating better QOL). Results: Of the 96 enrolled participants, half were women (48 [50%]), and a majority were White (92 [96%]), married or living with a partner (81 [84%]), and working (51 [53%]). Of these participants, 60 (63%) completed surveys at diagnosis and at least 1 follow-up. Of the 30 caregivers, most were women (24 [80%]), White (29 [97%]), married or living with a partner (28 [93%]), and working (22 [73%]). Caregivers of nonworking patients reported higher scores on the CRA subscale for health problems than caregivers of working patients (mean difference, 0.41; 95% CI, 0.18-0.64). Caregivers of patients with UW-QOL social/emotional (S/E) subscale scores of 62 or lower at diagnosis reported increased scores on the CRA subscale for health problems (UW-QOL-S/E score of 22: CRA score mean difference, 1.12; 95% CI, 0.48-1.77; UW-QOL-S/E score of 42: CRA score mean difference, 0.74; 95% CI, 0.34-1.15; and UW-QOL-S/E score of 62: CRA score mean difference, 0.36; 95% CI, 0.14-0.59). Woman caregivers had statistically significant worsening scores on the Social Support Survey (mean difference, -9.18; 95% CI, -17.14 to -1.22). The proportion of lonely caregivers increased over treatment. Conclusions and Relevance: This cohort study highlights patient- and caregiver-specific factors that are associated with increased CGB. Results further demonstrate the potential implications for negative health outcomes for caregivers of patients who are not working and have lower health-related quality of life.

Treatment Disparities in Radiation and Hormone Therapy Among Women Covered by Medicaid vs Private Insurance in Cancer Registry and Claims Data.

Importance: Prior research has reported undertreatment among patients with cancer who are insured by Medicaid, but this finding may be due, in part, to incomplete data in cancer registries. Objective: To compare disparities in radiation and hormone therapy between women with breast cancer covered by Medicaid and those with private insurance using the Colorado Central Cancer Registry (CCCR) and CCCR data supplemented with All Payer Claims Data (APCD). Design, Setting, and Participants: This observational cohort study included women aged 21 to 63 years who received breast cancer surgery. We linked the CCCR and Colorado APCD to identify Medicaid and privately insured women who were newly diagnosed with invasive, nonmetastatic breast cancer between January 1, 2012, and December 31, 2017. In the radiation treatment analysis, we narrowed the sample to women who received breast-conserving surgery (Medicaid, n = 1408; private, n = 1984) and in the hormone therapy analysis, we selected women who were hormone-receptor positive (Medicaid, n = 1156; private, n = 1667). Main Outcomes and Measures: We used logistic regression to estimate the likelihood of treatment within 12 months to assess whether the results varied between data sources. Results: There were 3392 and 2823 participants in the radiation and hormone therapy cohorts, respectively. The mean (SD) age was 51.71 (8.30) years in the radiation therapy cohort, and 52.00 (8.16) years in the hormone therapy cohort. Among the participants, there were 140 (4%) and 105 (4%) who were Black non-Hispanic, 499 (15%) and 406 (14%) who were Hispanic, 2602 (77%) and 2190 (78%) were White, and 151 (4%) and 122 (4%) were other/unknown in the radiation and hormone therapy cohorts, respectively. A higher percentage of women were aged 50 years or younger in the Medicaid samples (40% vs 34% in the privately insured sample) and identified as non-Hispanic Black (about 7%) or Hispanic (approximately 24%). Treatment was underreported in both sources, but to a lesser extent in the APCD (2.5% and 2.0% for Medicaid and private insurance, respectively) compared with CCCR (19.5% and 13.3% for Medicaid and private insurance, respectively). Using CCCR data, Women with Medicaid insurance were 4 (95% CI, -8 to -1; P = .02) and 10 (95% CI, -14 to -6; P < .001) percentage points less likely to have a record of radiation and hormone therapy compared with privately insured women, respectively. Using combined CCCR and APCD, no statistically significant disparity was observed in radiation or hormone therapy between Medicaid-insured and privately insured women. Conclusions and Relevance: Among women with breast cancer covered by Medicaid vs private insurance, cancer treatment disparities may be overestimated if based solely on cancer registry data.

Barriers to rural health care from the provider perspective.

INTRODUCTION: Rural populations routinely rank poorly on common health indicators. While it is understood that rural residents face barriers to health care, the exact nature of these barriers remains unclear. To further define these barriers, a qualitative study of primary care physicians practicing in rural communities was performed. METHODS: Semistructured interviews were conducted with primary care physicians practicing in rural areas within western Pennsylvania, the third largest rural population within the USA, using purposively sampling. Data were then transcribed, coded, and analyzed by thematic analysis. RESULTS: Three key themes emerged from the analysis addressing barriers to rural health care: (1) cost and insurance, (2) geographic dispersion, and (3) provider shortage and burnout. Providers mentioned strategies that they either employed or thought would be beneficial for their rural communities: (1) subsidize services, (2) establish mobile and satellite clinics (particularly for specialty care), (3) increase utilization of telehealth, (4) improve infrastructure for ancillary patient support (ie social work services), and (5) increase utilization of advanced practice providers. CONCLUSION: There are numerous barriers to providing rural communities with quality health care. Barriers that are encountered are multidimensional. Patients are unable to obtain the care they need because of cost-related barriers. More providers need to be recruited to rural areas to combat the shortage and burnout. Advanced care-delivery methods such as telehealth, satellite clinics, or advanced practice providers can help bridge the gaps caused by geographic dispersion. Policy efforts should target all these aspects in order to appropriately address rural healthcare needs.

The impact of Medicaid expansion on spending and utilization by older low-income Medicare beneficiaries.

OBJECTIVE: To examine indirect spillover effects of Affordable Care Act (ACA) Medicaid expansions to working-age adults on health care coverage, spending, and utilization by older low-income Medicare beneficiaries. DATA SOURCES: 2010-2018 Health and Retirement Study survey data linked to annual Medicare beneficiary summary files. STUDY DESIGN: We estimated individual-level difference-in-differences models of total spending for inpatient, institutional outpatient, physician/professional provider services; inpatient stays, outpatient visits, physician visits; and Medicaid and Part A and B Medicare coverage. We compared changes in outcomes before and after Medicaid expansion in expansion versus nonexpansion states. DATA COLLECTION/EXTRACTION METHODS: The sample included low-income respondents aged 69 and older with linked Medicare data, enrolled in full-year traditional Medicare, and residing in the community. PRINCIPAL FINDINGS: ACA Medicaid expansion was associated with a 9.8 percentage point increase in Medicaid coverage (95% CI: 0.020-0.176), a 4.4 percentage point increase in having any institutional outpatient spending (95% CI: 0.005-0.083), and a positive but statistically insignificant 2.4 percentage point change in Part B enrollment (95% CI: -0.003 to 0.050, p = 0.079). CONCLUSIONS: ACA Medicaid expansion was associated with more institutional outpatient spending among older low-income Medicare beneficiaries. Increased care costs should be weighed against potential benefits from increased realized access to care.

Insurance Type and Area Deprivation Are Associated With Worse Overall Mortality for Patients With Muscle-invasive Bladder Cancer.

OBJECTIVE: To examine the association of area-level socioeconomic status, rural-urban residence, and type of insurance with overall and cancer-specific mortality among patients with muscle-invasive bladder cancer. METHODS: Using the Pennsylvania Cancer Registry, which collects demographic, insurance, and clinical information on every patient with cancer within the state, we identified all patients diagnosed with non-metastatic muscle-invasive bladder cancer between 2010 and 2016 based on clinical and pathologic staging. We used the Area Deprivation Index (ADI) as a surrogate for socioeconomic status and Rural-Urban Commuting Area codes to classify urban, large town, and rural communities. ADI was reported in quartiles, with 4 representing the lowest socioeconomic status. We fit multivariable logistic regression and Cox models to assess the relationship of these social determinants with overall and cancer-specific survival adjusting for age, sex, race, stage, treatment, rural-urban classification, insurance and ADI. RESULTS: We identified 2597 patients with non-metastatic muscle-invasive bladder cancer. On multivariable analysis, Medicare (hazards ratio [HR] 1.15), Medicaid (HR 1.38), ADI 3 (HR 1.16) and ADI 4 (HR 1.21) were independent predictors of greater overall mortality (all P < 0.05). Female sex and receipt of non-standard treatment were associated with increased overall mortality and bladder cancer-specific mortality. There was no significant difference in both overall and cancer-specific survival between patients who were non-Hispanic White compared to non-White or between those from urban areas, large towns, or rural locations. CONCLUSION: Lower socioeconomic status and Medicare and Medicaid insurance were associated with a greater risk of overall mortality while rural residence was not a significant factor. Implementation of public health programs may help reduce the gap in mortality for low SES at-risk populations.

Changes in Urologic Cancer Surgical Volume and Length of Stay During the COVID-19 Pandemic in Pennsylvania.

Importance: Disruptions in cancer surgery during the COVID-19 pandemic led to widespread deferrals and cancellations, creating a surgical backlog that presents a challenge for health care institutions moving into the recovery phase of the pandemic. Objective: To describe patterns in surgical volume and postoperative length of stay for major urologic cancer surgery during the COVID-19 pandemic. Design, Setting, and Participants: This cohort study identified 24 001 patients 18 years or older from the Pennsylvania Health Care Cost Containment Council database with kidney cancer, prostate cancer, or bladder cancer who received a radical nephrectomy, partial nephrectomy, radical prostatectomy, or radical cystectomy between the first quarter (Q1) of 2016 and Q2 of 2021. Postoperative length of stay and adjusted surgical volumes were compared before and during the COVID-19 pandemic. Main Outcomes and Measures: The primary outcome was adjusted surgical volume for radical and partial nephrectomy, radical prostatectomy, and radical cystectomy during the COVID-19 pandemic. The secondary outcome was postoperative length of stay. Results: A total of 24 001 patients (mean [SD] age, 63.1 [9.4] years; 3522 women [15%], 19 845 White patients [83%], 17 896 living in urban areas [75%]) received major urologic cancer surgery between Q1 of 2016 and Q2 of 2021. Of these, 4896 radical nephrectomy, 3508 partial nephrectomy, 13 327 radical prostatectomy, and 2270 radical cystectomy surgical procedures were performed. There were no statistically significant differences in patient age, sex, race, ethnicity, insurance status, urban or rural status, or Elixhauser Comorbidity Index scores between patients who received surgery before and patients who received surgery during the pandemic. For partial nephrectomy, a baseline of 168 surgeries per quarter decreased to 137 surgeries per quarter in Q2 and Q3 of 2020. For radical prostatectomy, a baseline of 644 surgeries per quarter decreased to 527 surgeries per quarter in Q2 and Q3 of 2020. However, the likelihood of receiving radical nephrectomy (odds ratio [OR], 1.00; 95% CI, 0.78-1.28), partial nephrectomy (OR, 0.99; 95% CI, 0.77-1.27), radical prostatectomy (OR, 0.85; 95% CI, 0.22-3.22), or radical cystectomy (OR, 0.69; 95% CI, 0.31-1.53) was unchanged. Length of stay for partial nephrectomy decreased from baseline by a mean of 0.7 days (95% CI, -1.2 to -0.2 days) during the pandemic. Conclusions and Relevance: This cohort study suggests that partial nephrectomy and radical prostatectomy surgical volume decreased during the peak waves of COVID-19, as did postoperative length of stay for partial nephrectomy.

Racial and Ethnic Disparities in Hospital-Based Care Among Dual Eligibles Who Use Health Centers.

Introduction: Health center use may reduce hospital-based care among Medicare-Medicaid dual eligibles, but racial and ethnic disparities in this population have not been widely studied. We examined the extent of racial and ethnic disparities in hospital-based care among duals using health centers and the degree to which disparities occur within or between health centers. Methods: We used 2012-2018 Medicare claims and health center data to model emergency department (ED) visits, observation stays, hospitalizations, and 30-day unplanned returns as a function of race and ethnicity among dual eligibles using health centers. Results: In rural and urban counties, age-eligible Black individuals had more ED visits (7.9 [4.0, 11.7] and 13.7 [10.0, 17.4] per 100 person-years) and were more likely to experience an unplanned return (1.4 [0.4, 2.4] and 1 [0.4, 1.6] percentage points [pp]) than White individuals, but were less likely to be hospitalized (-3.3 [-3.9, -2.8] and -1.2 [-1.6, -0.9] pp). In urban counties, age-eligible Black individuals were 1.2 [0.9, 1.5] pp more likely than White individuals to have observation stays. Other racial and ethnic groups used the same or less hospital-based care than White individuals. Including state and health center fixed effects eliminated Black versus White disparities in all outcomes, except hospitalization. Results were similar among disability-eligible duals. Conclusion: Racial and ethnic disparities in hospital-based care among dual eligibles are less common within than between health centers. If health centers are to play a more central role in eliminating racial and ethnic health disparities, these differences across health centers must be understood and addressed.

"I Refused to Get Addicted to Opioids": Exploring Attitudes About Opioid Use Disorder in Patients With Advanced Cancer Pain and Their Support People.

Patients with advanced cancer are commonly prescribed opioids, yet patient attitudes about opioid risks (eg, opioid use disorder, or OUD) are understudied. Our objective was to use in-depth qualitative interviews to understand perceptions of opioid prescribing and OUD in patients with advanced, solid-tumor cancers and their support people. We conducted a qualitative study using a rigorous inductive, qualitative descriptive approach to examine attitudes about OUD in patients with advanced cancer (n = 20) and support providers (n = 11). Patients with cancer hold 2 seemingly distinct views: prescription opioids are addictive, yet OUD cannot happen to me or my loved one. Participants described general concerns about the addictive nature of prescription opioids ("My biggest concern… would just be the risk of getting addicted to the medication or even like, overdosing it"), while separating cancer pain management from OUD when considering prescription opioid risks and benefits ("They need to make sure they get the right ones, when they're taking it away from you."). Finally, participants identified personal characteristics and behaviors that they felt were protective against developing OUD (commonly control, willpower, and responsibility). This rigorous qualitative study demonstrates that patients with advanced cancer and their support people simultaneously hold concerns about the addictive nature of prescription opioids, while distancing from perceptions of OUD risks when using opioids for cancer pain management. Given high rates of opioid exposure during advanced cancer treatment, it is important to explore opportunities to promote a balanced understanding of prescription opioid use and OUD risks in this population. PERSPECTIVE: Though prescription opioids carry risk of OUD, there is little data to help guide patients with advanced cancer. Findings suggest that there is a need to develop new, innovative strategies to promote effective pain management and minimize opioid risks in this complex population.

Testing the effects of the Strong Together self-advocacy serious game among women with advanced cancer: Protocol for the STRONG randomized clinical trial.

BACKGROUND: Women with advanced cancer experience significant barriers to achieving high-quality care and maximizing their physical and emotional health. Our novel serious game, Strong Together, aims to teach women with advanced cancer self-advocacy skills needed to improve their symptom burden, quality of life, and patient-centered care. METHODS: This is a single-center, multi-site randomized clinical trial of the Strong Together intervention among 336 women within three months of an advanced breast or gynecologic cancer diagnosis. Randomization occurs to the 3-month Strong Together serious game or enhanced care as usual group. The aims are to: (1) evaluate the effects of the intervention on patient self-advocacy (primary outcome); (2) evaluate the effects of the intervention on quality of life, symptom burden, and patient-centered care (secondary outcomes); and (3) evaluate the behavioral and game mechanisms that influence the efficacy of the intervention. ELIGIBILITY CRITERIA: female, age ≥ 18 years; diagnosis of advanced breast or gynecologic cancer within the past 3 months; Eastern Cooperative Oncology Group score of 0-2; English literacy; and ≥ 6-month life expectancy. Patient-reported outcome measures are collected at baseline, 3-months, and 6-months. CONCLUSION: This protocol is the first large-scale intervention aimed at promoting self-advocacy in women with advanced cancer. Understanding the ability of serious games to impact patient outcomes provides critical information for researchers, clinicians, and stakeholders aiming to improve patient-centered care. TRIAL REGISTRATION: NCT04813276.