Effect of Health Service Area on Primary Care Physician Provision of Low-Value Cancer Screening.

BACKGROUND: Using a health systems approach to investigate low-value care (LVC) may provide insights into structural drivers of this pervasive problem. OBJECTIVE: To evaluate the influence of service area practice patterns on low-value mammography and prostate-specific antigen (PSA) testing. DESIGN: Retrospective study analyzing LVC rates between 2008 and 2018, leveraging physician relocation in 3-year intervals of matched physician and patient groups. SETTING: U.S. Medicare claims data. PARTICIPANTS: 8254 physicians and 56 467 patients aged 75 years or older. MEASUREMENTS: LVC rates for physicians staying in their original service area and those relocating to new areas. RESULTS: Physicians relocating from higher-LVC areas to low-LVC areas were more likely to provide lower rates of LVC. For mammography, physicians staying in high-LVC areas (LVC rate, 10.1% [95% CI, 8.8% to 12.2%]) or medium-LVC areas (LVC rate, 10.3% [CI, 9.0% to 12.4%]) provided LVC at a higher rate than physicians relocating from those areas to low-LVC areas (LVC rates, 6.0% [CI, 4.4% to 7.5%] [difference, -4.1 percentage points {CI, -6.7 to -2.3 percentage points}] and 5.9% [CI, 4.6% to 7.8%] [difference, -4.4 percentage points {CI, -6.7 to -2.4 percentage points}], respectively). For PSA testing, physicians staying in high- or moderate-LVC service areas provided LVC at a rate of 17.5% (CI, 14.9% to 20.7%) or 10.6% (CI, 9.6% to 13.2%), respectively, compared with those relocating from those areas to low-LVC areas (LVC rates, 9.9% [CI, 7.5% to 13.2%] [difference, -7.6 percentage points {CI, -10.9 to -3.8 percentage points}] and 6.2% [CI, 3.5% to 9.8%] [difference, -4.4 percentage points {CI, -7.6 to -2.2 percentage points}], respectively). Physicians relocating from lower- to higher-LVC service areas were not more likely to provide LVC at a higher rate. LIMITATION: Use of retrospective observational data, possible unmeasured confounding, and potential for relocating physicians to practice differently from those who stay. CONCLUSION: Physicians relocating to service areas with lower rates of LVC provided less LVC than physicians who stayed in areas with higher rates of LVC. Systemic structures may contribute to LVC. Understanding which factors are contributing may present opportunities for policy and interventions to broadly improve care. PRIMARY FUNDING SOURCE: National Cancer Institute of the National Institutes of Health.

A matching-based machine learning approach to estimating optimal dynamic treatment regimes with time-to-event outcomes.

Observational data (e.g. electronic health records) has become increasingly important in evidence-based research on dynamic treatment regimes, which tailor treatments over time to patients based on their characteristics and evolving clinical history. It is of great interest for clinicians and statisticians to identify an optimal dynamic treatment regime that can produce the best expected clinical outcome for each individual and thus maximize the treatment benefit over the population. Observational data impose various challenges for using statistical tools to estimate optimal dynamic treatment regimes. Notably, the task becomes more sophisticated when the clinical outcome of primary interest is time-to-event. Here, we propose a matching-based machine learning method to identify the optimal dynamic treatment regime with time-to-event outcomes subject to right-censoring using electronic health record data. In contrast to the established inverse probability weighting-based dynamic treatment regime methods, our proposed approach provides better protection against model misspecification and extreme weights in the context of treatment sequences, effectively addressing a prevalent challenge in the longitudinal analysis of electronic health record data. In simulations, the proposed method demonstrates robust performance across a range of scenarios. In addition, we illustrate the method with an application to estimate optimal dynamic treatment regimes for patients with advanced non-small cell lung cancer using a real-world, nationwide electronic health record database from Flatiron Health.

Urban relatives ameliorate survival disparities for genitourinary cancer in rural patients.

INTRODUCTION: Patients living in rural areas have worse cancer-specific outcomes. This study examines the effect of family-based social capital on genitourinary cancer survival. We hypothesized that rural patients with urban relatives have improved survival relative to rural patients without urban family. METHODS: We examined rural and urban based Utah individuals diagnosed with genitourinary cancers between 1968 and 2018. Familial networks were determined using the Utah Population Database. Patients and relatives were classified as rural or urban based on 2010 rural-urban commuting area codes. Overall survival was analyzed using Cox proportional hazards models. RESULTS: We identified 24,746 patients with genitourinary cancer with a median follow-up of 8.72 years. Rural cancer patients without an urban relative had the worst outcomes with cancer-specific survival hazard ratios (HRs) at 5 and 10 years of 1.33 (95% CI 1.10-1.62) and 1.46 (95% CI 1.24-1.73), respectively relative to urban patients. Rural patients with urban first-degree relatives had improved survival with 5- and 10-year survival HRs of 1.21 (95% CI 1.06-1.40) and 1.16 (95% CI 1.03-1.31), respectively. CONCLUSIONS: Our findings suggest rural patients who have been diagnosed with a genitourinary cancer have improved survival when having relatives in urban centers relative to rural patients without urban relatives. Further research is needed to better understand the mechanisms through which having an urban family member contributes to improved cancer outcomes for rural patients. Better characterization of this affect may help inform policies to reduce urban-rural cancer disparities.

Protocol for a cluster-randomized trial of a school-based skin cancer preventive intervention for adolescents.

BACKGROUND: Adolescents infrequently use sun protection and engage in intentional tanning more frequently compared to other age groups, leading to increased ultraviolet radiation (UVR) exposure that heightens skin cancer risk across the lifespan. High schools are therefore an ideal setting for offering skin cancer preventive interventions. Yet, there are limited UVR protection interventions for high school students, especially those that are personalized, tested using randomized designs, and include long-term outcome assessment to determine the durability of intervention effects. METHOD: The Sun-safe Habits Intervention and Education (SHINE) cluster-randomized trial will test a novel, personalized intervention that targets high school adolescents' sun protection and tanning behaviors, and tracks their outcomes for up to one year following intervention. Enrolled high schools will be randomized to receive either the personalized SHINE intervention, which includes facial UVR photographs and sun protection action planning, or standard education using publicly available materials. Students in both conditions will receive information about skin cancer, sun protection, and skin self-examination. Outcome variables will include students' sun protection and tanning behaviors and sunburn occurrence. Potential moderators (e.g., race/ethnicity) and mediators (e.g., self-efficacy) will also be assessed and tested. CONCLUSIONS: This trial examines the efficacy of a personalized intervention targeting sun protection and tanning of high school students. The project will lead to new scientific understanding of the theoretical mechanisms underlying outcomes and moderators of the intervention effects, which will inform future intervention tailoring to meet the needs of vulnerable subgroups.

Comparing Bayesian hierarchical meta-regression methods and evaluating the influence of priors for evaluations of surrogate endpoints on heterogeneous collections of clinical trials.

BACKGROUND: Surrogate endpoints, such as those of interest in chronic kidney disease (CKD), are often evaluated using Bayesian meta-regression. Trials used for the analysis can evaluate a variety of interventions for different sub-classifications of disease, which can introduce two additional goals in the analysis. The first is to infer the quality of the surrogate within specific trial subgroups defined by disease or intervention classes. The second is to generate more targeted subgroup-specific predictions of treatment effects on the clinical endpoint. METHODS: Using real data from a collection of CKD trials and a simulation study, we contrasted surrogate endpoint evaluations under different hierarchical Bayesian approaches. Each approach we considered induces different assumptions regarding the relatedness (exchangeability) of trials within and between subgroups. These include partial-pooling approaches, which allow subgroup-specific meta-regressions and, yet, facilitate data adaptive information sharing across subgroups to potentially improve inferential precision. Because partial-pooling models come with additional parameters relative to a standard approach assuming one meta-regression for the entire set of studies, we performed analyses to understand the impact of the parameterization and priors with the overall goals of comparing precision in estimates of subgroup-specific meta-regression parameters and predictive performance. RESULTS: In the analyses considered, partial-pooling approaches to surrogate endpoint evaluation improved accuracy of estimation of subgroup-specific meta-regression parameters relative to fitting separate models within subgroups. A random rather than fixed effects approach led to reduced bias in estimation of meta-regression parameters and in prediction in subgroups where the surrogate was strong. Finally, we found that subgroup-specific meta-regression posteriors were robust to use of constrained priors under the partial-pooling approach, and that use of constrained priors could facilitate more precise prediction for clinical effects in trials of a subgroup not available for the initial surrogacy evaluation. CONCLUSION: Partial-pooling modeling strategies should be considered for surrogate endpoint evaluation on collections of heterogeneous studies. Fitting these models comes with additional complexity related to choosing priors. Constrained priors should be considered when using partial-pooling models when the goal is to predict the treatment effect on the clinical endpoint.

Preliminary effects of a rural skin cancer prevention intervention for youths.

OBJECTIVES: To pilot and assess the feasibility, acceptability, and preliminary effects of the Rural Adult and Youth Sun (RAYS) protection program, a multilevel skin cancer preventive intervention for young children living in rural U.S. communities, delivered through community-organized team sports. METHOD: Three rural counties in Utah participated with two receiving the intervention and the third serving as a control. Youth sports leagues were recruited through recreation departments and the study took place from May through October 2021. Intervention leagues received sun protection supplies for players and coaches, educational materials for parents, and coaches were offered training on skin cancer and sun protection behaviors. RESULTS: The RAYS program is both feasible to deliver and acceptable to coaches, parents, and players. The intervention also demonstrates beneficial preliminary effects on components of observed child sun-protective behaviors, coach sun protection behaviors, knowledge of skin cancer prevention recommendations, and self-efficacy in skin cancer prevention. CONCLUSIONS: Multilevel interventions for skin cancer prevention among young children can be successfully delivered through community organizations and their settings. A priority moving forward is the identification of ways to optimize delivery of such programs to positively influence skin cancer preventive behaviors among children living in diverse rural areas. (PsycInfo Database Record (c) 2024 APA, all rights reserved).

Patient navigation for pregnant individuals with opioid use disorder: Results of a randomized multi-site pilot trial.

BACKGROUND AND AIMS: Patient navigation (PN) may benefit pregnant individuals with opioid use disorder (OUD) by improving treatment adherence. We examined participant enrollment, session delivery and assessment feasibility for a PN intervention among pregnant participants and compared PN preliminary effectiveness for OUD treatment engagement with participants in usual care (UC). DESIGN: This study was a pilot single-blinded multi-site randomized trial. SETTING: Two academic medical centers in Pennsylvania (n = 57) and Utah (n = 45), United States participated. PARTICIPANTS: One hundred and two pregnant adult participants unestablished (fewer than 6 weeks) on medication for OUD (MOUD) were randomized to PN (n = 53) or UC (n = 49). INTERVENTION: PN was composed of 10 prenatal sessions (delivered after baseline but before the prenatal assessments) and four postnatal sessions (delivered before the 2- and 6-month postpartum assessments) focused upon OUD treatment and physical/mental health needs. UC involved brief case management. MEASUREMENTS: Feasibility assessments included consent, session delivery and assessment rates. Mixed-effect models for intent-to-treat (ITT) and per protocol (PP, received six or more sessions) populations were estimated to compare outcomes of MOUD use, secondary outcomes of substance use disorder (SUD) treatment attendance and non-prescribed opioid use, and exploratory outcome of overdose at baseline, predelivery and 2 and 6 months postpartum. FINDINGS: We consented 87% (106 of 122) of the proposed target, delivered ~60% of sessions delivered and completed ≥ 75% assessments. PN ITT and PP had better MOUD adherence, SUD treatment attendance, non-prescribed opioid use and overdose outcomes than UC. Notable changes included good evidence for greater percentage change in days for PN PP MOUD use from baseline to 2 months postpartum [PN = 28.0 versus UC = -10.9, 95% confidence interval (CI) = 9.7, 62.1] and some evidence for baseline to 6 months postpartum (PN = 45.4 versus UC = 23.4, 95% CI = -0.7, 48.2). PN PP percentage change in days for SUD treatment attendance also showed good evidence for improvements from baseline to prenatal assessment (PN = 7.4 versus UC = -21.3, 95% CI = 3.3, 53.5). PN compared to UC participants reported fewer overdoses at 2 months (PN = 11.9%/UC = 16.1%) and at 6 months postpartum (PN = 3.8%/UC = 6.2%). CONCLUSIONS: Patient navigation appears to be associated with improvements in opioid use disorder treatment engagement and overdoses during pregnancy. This pilot trial shows the feasibility of the intervention and a future large-scale trial.

Low-Value Prostate Cancer Screening Among Young Men With Private Insurance.

INTRODUCTION: No professional society guidelines recommend PSA screening in men younger than age 40; however, data suggest testing occurs at meaningful rates in this age group. The purpose of this study was to identify the rate of PSA testing in men under 40. METHODS: This is a population-based, retrospective cohort study from 2008 to 2017. Using the MarketScan database, rates of testing for the sum of the annual population of men at risk were evaluated. Descriptive statistics and statistical analyses were performed in men continuously enrolled in the database for at least 5 year. Results were stratified by receipt of PSA testing and by age group. The association of diagnoses and Charlson Comorbidity Index with receipt of PSA test was evaluated using multivariable logistic regression models. RESULTS: We identified 3,230,748 men ages 18 to 39 who were enrolled for at least 5 years. The rate of ever receiving PSA testing was 0.6%, 1.7%, 8.5%, and 9.1% in men less than 25, 25 to 29, 30 to 34, and 35 to 39 years, respectively. Multivariable logistic regression showed that relative to all men 18 to 39, patients who received PSA testing had higher odds of a diagnosis of hypogonadism (OR 11.77) or lower urinary tract symptoms (OR 4.19). CONCLUSIONS: This study found a remarkable number of young men receive PSA testing, with a strong association with diagnoses of lower urinary tract symptoms and hypogonadism. Clinicians need to be educated that assessment and management guidelines for other urologic diagnoses now defer PSA testing to prostate cancer screening guidelines.

Clinical Impact of Multiplex Molecular Diagnostic Testing in Children With Acute Gastroenteritis Presenting to an Emergency Department: A Multicenter Prospective Study.

BACKGROUND: Multiplex molecular diagnostic panels have greatly enhanced detection of gastrointestinal pathogens. However, data on the impact of these tests on clinical and patient-centered outcomes are limited. METHODS: We conducted a prospective, multicenter, stepped-wedge trial to determine the impact of multiplex molecular testing at 5 academic children's hospitals on children presenting to the emergency department with acute gastroenteritis. Caregivers were interviewed on enrollment and 7-10 days after enrollment to determine symptoms, risk factors, subsequent medical visits, and impact on family members. During the pre-intervention period, diagnostic testing was performed at the clinician's discretion . During the intervention period, multiplex molecular testing was performed on all children, with results available to clinicians. The primary outcome was return visits to a healthcare provider within 10 days of enrollment. RESULTS: Potential pathogens were identified by clinician-ordered tests in 19 of 571 (3.3%) in the pre-intervention period compared with 434 of 586 (74%) in the intervention period; clinically relevant pathogens were detected in 2.1% and 15%, respectively. In the multivariate model, the intervention was associated with a 21% reduction in the odds of any return visit (odds ratio, 0.79; 95% confidence interval, .70-.90) after adjusting for potential confounders. Appropriate treatment was prescribed in 11.3% compared with 19.6% during the intervention period (P = .22). CONCLUSIONS: Routine molecular multiplex testing for all children who presented to the ED with acute gastroenteritis detected more clinically relevant pathogens and led to a 21% decrease in return visits. Additional research is needed to define patients most likely to benefit from testing. Clinical Trials Registration. NCT02248285.

Comparing Active Surveillance and Watchful Waiting With Radical Treatment Using Machine Learning Models Among Patients With Prostate Cancer.

PURPOSE: In 2021, 59.6% of low-risk patients with prostate cancer were under active surveillance (AS) as their first course of treatment. However, few studies have investigated AS and watchful waiting (WW) separately. The objectives of this study were to develop and validate a population-level machine learning model for distinguishing AS and WW in the conservative treatment group, and to investigate initial cancer management trends from 2004 to 2017 and the risk of chronic diseases among patients with prostate cancer with different treatment modalities. METHODS: In a cohort of 18,134 patients with prostate adenocarcinoma diagnosed between 2004 and 2017, 1,926 patients with available AS/WW information were analyzed using machine learning algorithms with 10-fold cross-validation. Models were evaluated using performance metrics and Brier score. Cox proportional hazard models were used to estimate hazard ratios for chronic disease risk. RESULTS: Logistic regression models achieved a test area under the receiver operating curve of 0.73, F-score of 0.79, accuracy of 0.71, and Brier score of 0.29, demonstrating good calibration, precision, and recall values. We noted a sharp increase in AS use between 2004 and 2016 among patients with low-risk prostate cancer and a moderate increase among intermediate-risk patients between 2008 and 2017. Compared with the AS group, radical treatment was associated with a lower risk of prostate cancer-specific mortality but higher risks of Alzheimer disease, anemia, glaucoma, hyperlipidemia, and hypertension. CONCLUSION: A machine learning approach accurately distinguished AS and WW groups in conservative treatment in this decision analytical model study. Our results provide insight into the necessity to separate AS and WW in population-based studies.

Mental health outcomes in a population-based cohort of patients with prostate cancer.

BACKGROUND: Few studies have evaluated mental health disorders comprehensively among patients with prostate cancer on long-term follow-up. The primary aim of our study was to assess the incidence of mental health disorders among patients with prostate cancer compared with a general population cohort. A secondary aim was to investigate potential risk factors for mental health disorders among patients with prostate cancer. METHODS: Cohorts of 18 134 patients with prostate adenocarcinomas diagnosed between 2004 and 2017 and 73470 men without cancer matched on age, birth state, and follow-up time were identified. Mental health diagnoses were identified from electronic health records and statewide health-care facilities data. Cox proportional hazard models were used to estimate hazard ratios. All statistical tests were 2-sided. RESULTS: The hazard ratios for mood disorders, including depression, among prostate cancer survivors increased for all follow-up periods compared with the general population. The hazard ratios for any mental illness increased with Hispanic, Black, or multiple races; people who were underweight or obese; those with advanced prostate cancer; and those undergoing their first course cancer treatment. We also observed statistically significantly increased hazard ratios for mental health disorders among patients with lower socioeconomic status (P < .0001) and increasing duration of androgen-deprivation therapy (P = .0348). Prostate cancer survivors had a 61% increased hazard ratio for death with a depression diagnosis. CONCLUSION: Prostate cancer diagnosis was associated with a higher risk of mental health disorders compared with the general population, which was observed as long as 10-16 years after cancer diagnosis. Providing long-term mental health support may be beneficial to increasing life expectancy for patients with prostate cancer.

Handling missing within-study correlations in the evaluation of surrogate endpoints.

Rigorous evaluation of surrogate endpoints is performed in a trial-level analysis in which the strength of the association between treatment effects on the clinical and surrogate endpoints is quantified across a collection of previously conducted trials. To reduce bias in measures of the performance of the surrogate, the statistical model must account for the sampling error in each trial's estimated treatment effects and their potential correlation. Unfortunately, these within-study correlations can be difficult to obtain, especially for meta-analysis of published trial results where individual patient data is not available. As such, these terms are frequently partially or completely missing in the analysis. We show that improper handling of these missing terms can meaningfully alter the perceived quality of the surrogate and we introduce novel strategies to handle the missingness.

Cost and Utilization Outcomes in Huntsman at Home, a Novel Oncology Hospital at Home Program.

OBJECTIVES: In a real-world trial, we previously demonstrated that Huntsman at Home, a novel oncology hospital at home program, was associated with reduced health care utilization and costs. In this study, we sought to understand the impact of Huntsman at Home in specific patient subgroups defined by sex, age, area-level median income, Charlson Comorbidity Index, and current use of systemic anticancer therapy. DESIGN: Retrospective case-control study of the Huntsman Cancer Institute. Electronic Data Warehouse of patients enrolled in Huntsman at Home between August 2018 through October 2019 vs usual-care patients. SETTING AND PARTICIPANTS: A total of 169 patients admitted to Huntsman at Home compared with 198 usual-care patients. METHODS: Five dichotomous subgroups evaluated including sex (female vs male), age (≥65 vs <65), income (≥$78,735 vs <$78,735), Charlson Comorbidity Index (≥2 vs <2), and current systemic anticancer therapy use vs no current systemic anticancer therapy. Groups were compared with patients receiving usual care. Primary outcomes included 30-day costs, hospital length of stay, unplanned hospitalizations, and emergency room visits. RESULTS: Admission to Huntsman at Home was associated with an overall reduction across all 4 health care cost and utilization outcomes. Outcomes favoring admission to Huntsman at Home achieved statistical significance (P < .05) in at least 2 of the 4 outcomes for each subgroup studied. Of the subgroups that did not achieve statistically significant benefit from Huntsman at Home admission in some outcome categories, none of these subgroups favored usual care. CONCLUSIONS AND IMPLICATIONS: Admission to Huntsman at Home decreased utilization of unplanned health care and reduced costs across a wide spectrum of patient subgroups, suggesting overall consistent benefit from the service. Hospital at home models should be considered as a means by which the quality and efficiency of care can be maximized for patients with cancer.

New-Onset Diabetes after an Obesity-Related Cancer Diagnosis and Survival Outcomes in the Women's Health Initiative.

BACKGROUND: Individuals diagnosed with an obesity-related cancer (ORC survivors) are at an elevated risk of incident diabetes compared with cancer-free individuals, but whether this confers survival disadvantage is unknown. METHODS: We assessed the rate of incident diabetes in ORC survivors and evaluated the association of incident diabetes with all-cause and cancer-specific mortality among females with ORC in the Women's Health Initiative cohort (N = 14,651). Cox proportional hazards regression models stratified by exposure-risk periods (0-1, >1-3, >3-5, >5-7, and >7-10 years) from ORC diagnosis and time-varying exposure (diabetes) analyses were performed. RESULTS: Among the ORC survivors, a total of 1.3% developed diabetes within ≤1 year of follow-up and 2.5%, 2.3%, 2.3%, and 3.6% at 1-3, 3-5, 5-7, and 7-10 years of follow-up, respectively, after an ORC diagnosis. The median survival for those diagnosed with diabetes within 1-year of cancer diagnosis and those with no diabetes diagnosis in that time frame was 8.8 [95% confidence interval (CI), 7.0-14.5) years and 16.6 (95% CI, 16.1-17.0) years, respectively. New-onset compared with no diabetes as a time-varying exposure was associated with higher risk of all-cause (HR, 1.27; 95% CI, 1.16-1.40) and cancer-specific (HR, 1.17; 95% CI, 0.99-1.38) mortality. When stratified by exposure-risk periods, incident diabetes in ≤1 year of follow-up was associated with higher all-cause (HR, 1.76; 95% CI, 1.40-2.20) and cancer-specific (HR0-1, 1.82; 95% CI, 1.28-2.57) mortality, compared with no diabetes diagnosis. CONCLUSIONS: Incident diabetes was associated with worse cancer-specific and all-cause survival, particularly in the year after cancer diagnosis. IMPACT: These findings draw attention to the importance of diabetes prevention efforts among cancer survivors to improve survival outcomes.

Clinical Impact of Multiplex Molecular Diagnostic Testing in Children with Acute Gastroenteritis Presenting to An Emergency Department: A Multicenter Prospective Study.

Background: Multiplex molecular diagnostic panels have greatly enhanced detection of gastrointestinal pathogens. However, data on the impact of these tests on clinical and patient-centered outcomes are limited. Methods: We conducted a prospective, multicenter, stepped-wedge trial to determine the impact of multiplex molecular testing at five academic children's hospitals in children presenting to the ED with acute gastroenteritis. Caregivers were interviewed on enrollment and again 7-10 days after enrollment to determine symptoms, risk factors, subsequent medical visits, and impact on family members. During the pre-intervention period, diagnostic testing was performed at the discretion of clinicians. During the intervention period, multiplex molecular testing was performed on all children with results available to clinicians. Primary outcome was return visits to a health care provider within 10 days of enrollment. Results: Potential pathogens were identified by clinician ordered tests in 19/571 (3.3%) in the pre-intervention period compared to 434/586 (74%) in the intervention period; clinically relevant pathogens were detected in 2.1% and 15% respectively. In the multivariate model adjusting for potential confounders, the intervention was associated with a 21% reduction in the odds of any return visit (OR 0.79; 95% CI 0.70-0.90). Appropriate treatment was prescribed in 11.3% compared to 19.6% during the intervention period(P=0.22). Conclusions: Routine molecular multiplex testing for all children presenting to the ED with AGE detected more clinically relevant pathogens and led to a 21% decrease in return visits. Additional research is needed to define patients most likely to benefit from testing.

Race and Treatment Outcomes in Patients With Metastatic Castration-Sensitive Prostate Cancer: A Secondary Analysis of the SWOG 1216 Phase 3 Trial.

Importance: Black patients present with more aggressive disease and experience higher mortality than White patients with prostate cancer. Race and social determinants of health influence prostate cancer-specific mortality and overall survival (OS); however, in a previous trial, Black patients did not have inferior outcomes compared with White patients, possibly because of equitable access to care available in a clinical trial setting. Objective: To compare differences in survival outcomes of patients with metastatic castration-sensitive prostate cancer (mCSPC) by race in a phase 3 trial with a large proportion of Black patients. Design, Setting, and Participants: This secondary analysis of patient-level data of a prospective phase 3 randomized clinical trial included patients with newly diagnosed mCSPC enrolled between March 1, 2013, and July 15, 2017. Analysis was conducted between December 2022 and February 2023. Interventions: Patients receiving androgen deprivation therapy were randomized (1:1) to receive either orteronel 300 mg orally twice daily (experimental group) or bicalutamide 50 mg orally daily (control group). Main Outcomes and Measures: OS, with progression-free survival (PFS) as a secondary end point. Results: Among 1313 participants, 135 (10%) identified as Black and 1077 (82%) as White, with an equal racial distribution between groups. Black patients were younger (median [IQR] age, 65.8 [60-70] vs 68.4 [62.5-74.1] years; P = .001) and had a higher median (IQR) baseline prostate-specific antigen response rate than White patients (54.7 [19.8-222.0] vs 26.7 [9.2-96.0] ng/mL; P < .001). At a median follow-up of 4.9 years, Black and White patients had similar median PFS (2.3 years; 95% CI, 1.8-1.4 years vs 2.9 years; 95% CI, 2.5-3.3 years; P = .71) and OS (5.5 years; 95% CI, 4.8-NR vs 6.3 years; 95% CI, 5.7-NR; P = .65). The multivariable analysis confirmed similar PFS and OS after adjusting for known prognostic factors. No interaction between race and treatment was observed. Conclusions and Relevance: In this secondary analysis of a randomized clinical trial studying androgen deprivation therapy with first- or second-generation androgen receptor pathway inhibitors, both Black and White patients demonstrated similar OS and PFS. Equitable access to care may reduce historical differences in outcomes between Black and White patients with advanced prostate cancer. Trial Registration: ClinicalTrials.gov Identifier: NCT01809691.

Preliminary Reach of an Information Technology Approach to Support COVID-19 Testing in Schools.

OBJECTIVES: SCALE-UP Counts tests population health management interventions to promote coronavirus disease 2019 (COVID-19) testing in kindergarten through 12th-grade schools that serve populations that have been historically marginalized. METHODS: Within 6 participating schools, we identified 3506 unique parents/guardians who served as the primary contact for at least 1 student. Participants were randomized to text messaging (TM), text messaging + health navigation (HN) (TM + HN), or usual care. Bidirectional texts provided COVID-19 symptom screening, along with guidance on obtaining and using tests as appropriate. If parents/guardians in the TM + HN group were advised to test their child but either did not test or did not respond to texts, they were called by a trained health navigator to address barriers. RESULTS: Participating schools served a student population that was 32.9% non-white and 15.4% Hispanic, with 49.6% of students eligible to receive free lunches. Overall, 98.8% of parents/guardians had a valid cell phone, of which 3.8% opted out. Among the 2323 parents/guardians included in the intervention, 79.6% (n = 1849) were randomized to receive TM, and 19.1% (n = 354) engaged with TM (ie, responded to at least 1 message). Within the TM + HN group (40.1%, n = 932), 1.3% (n = 12) qualified for HN at least once, of which 41.7% (n = 5) talked to a health navigator. CONCLUSIONS: TM and HN are feasible ways to reach parents/guardians of kindergarten through 12th-grade students to provide COVID-19 screening messages. Strategies to improve engagement may strengthen the impact of the intervention.

Adverse Health Outcomes among Rural and Urban Breast Cancer Survivors: A Population-Based Cohort Study.

BACKGROUND: Limited population-based studies have focused on breast cancer survivors in rural populations. We sought to evaluate the risk of adverse health outcomes among rural and urban breast cancer survivors and to evaluate potential predictors for the highest risk outcomes. METHODS: A population-based cohort of rural and urban breast cancer survivors diagnosed between 1997 and 2017 was identified in the Utah Cancer Registry (UCR). Rural breast cancer survivors were matched on year (±1 year) and age at cancer diagnosis (±1 year) with up to 5 urban breast cancer survivors (2,359 rural breast cancer survivors; 11,748 urban breast cancer survivors). Cox proportional hazards models were used to calculate HRs with 99% confidence intervals (CI) for adverse health outcomes overall, within 5 years, and >5 years after cancer diagnosis. RESULTS: Compared with urban breast cancer survivors, rural breast cancer survivors had a 39% (HR, 1.39; 95% CI, 1.02-1.65) higher risk of heart failure (HF) within the 5 years of follow-up. Overall, there was no increase in the risk of other evaluated adverse health outcomes. A higher baseline body mass index and Charlson Comorbidity Index, family history of cardiovascular diseases, family history of breast cancer, and advanced cancer stage were risk factors for HF for rural and urban breast cancer survivors, with similar levels of HF risk. CONCLUSIONS: Rural residence was associated with an increased risk of HF among breast cancer survivors. IMPACT: Our study highlights the need for primary preventive strategies for rural cancer survivors at risk of heart failure.

Cost-effectiveness analysis of 7 treatments in metastatic hormone-sensitive prostate cancer: a public-payer perspective.

BACKGROUND: Recently, several new treatment regimens have been approved for treating metastatic hormone-sensitive prostate cancer, building on androgen deprivation therapy alone. These include docetaxel androgen deprivation therapy, abiraterone acetate-prednisone androgen deprivation therapy, apalutamide androgen deprivation therapy, enzalutamide androgen deprivation therapy, darolutamide-docetaxel androgen deprivation therapy, and abiraterone-prednisone androgen deprivation therapy with docetaxel. There are no validated predictive biomarkers for choosing a specific regimen. The goal of this study was to conduct a health economic outcome evaluation to determine the optimal treatment from the US public sector (Veterans Affairs). METHODS: We developed a partitioned survival model in which metastatic hormone-sensitive prostate cancer patients transitioned between 3 health states (progression free, progressive disease to castrate resistance state, and death) at monthly intervals based on Weibull survival model estimated from published Kaplan-Meier curves using a Bayesian network meta-analysis of 7 clinical trials (7208 patients). The effectiveness outcome in our model was quality-adjusted life-years (QALYs). Cost input parameters included initial and subsequent treatment costs and costs for terminal care and for managing grade 3 or higher drug-related adverse events and were obtained from the Federal Supply Schedule and published literature. RESULTS: Average 10-year costs ranged from $34 349 (androgen deprivation therapy) to $658 928 (darolutamide-docetaxel androgen deprivation therapy) and mean QALYs ranged from 3.25 (androgen deprivation therapy) to 4.57 (enzalutamide androgen deprivation therapy). Treatment strategies docetaxel androgen deprivation therapy, enzalutamide androgen deprivation therapy docetaxel, apalutamide androgen deprivation therapy, and darolutamide-docetaxel androgen deprivation therapy were eliminated because of dominance (ie, they were more costly and less effective than other strategies). Of the remaining strategies, abiraterone acetate-prednisone androgen deprivation therapy was the most cost-effective strategy at a willingness-to-pay threshold of $100 000/QALY (incremental cost-effectiveness ratios = $21 247/QALY). CONCLUSIONS: Our simulation model found abiraterone acetate-prednisone androgen deprivation therapy to be an optimal first-line treatment for metastatic hormone-sensitive prostate cancer from a public (Veterans Affairs) payer perspective.

Metabolic obesity phenotypes and obesity-related cancer risk in the National Health and Nutrition Examination Survey.

INTRODUCTION: Body mass index (BMI) fails to identify up to one-third of normal weight individuals with metabolic dysfunction who may be at increased risk of obesity-related cancer (ORC). Metabolic obesity phenotypes, an alternate metric to assess metabolic dysfunction with or without obesity, were evaluated for association with ORC risk. METHODS: National Health and Nutrition Examination Survey participants from 1999 to 2018 (N = 19,500) were categorized into phenotypes according to the metabolic syndrome (MetS) criteria and BMI: metabolically healthy normal weight (MHNW), metabolically unhealthy normal weight (MUNW), metabolically healthy overweight/obese (MHO) and metabolically unhealthy overweight/obese (MUO). Adjusted multivariable logistic regression models were used to evaluate associations with ORC. RESULTS: With metabolic dysfunction defined as ≥1 MetS criteria, ORC cases (n = 528) had higher proportions of MUNW (28.2% vs. 17.4%) and MUO (62.6% vs. 60.9%) phenotypes than cancer-free individuals (n = 18,972). Compared with MHNW participants, MUNW participants had a 2.2-times higher ORC risk [OR (95%CI) = 2.21 (1.27-3.85)]. MHO and MUO participants demonstrated a 43% and 56% increased ORC risk, respectively, compared to MHNW, but these did not reach statistical significance [OR (95% CI) = 1.43 (0.46-4.42), 1.56 (0.91-2.67), respectively]. Hyperglycaemia, hypertension and central obesity were all independently associated with higher ORC risk compared to MHNW. CONCLUSIONS: MUNW participants have a higher risk of ORC than other abnormal phenotypes, compared with MHNW participants. Incorporating metabolic health measures in addition to assessing BMI may improve ORC risk stratification. Further research on the relationship between metabolic dysfunction and ORC is warranted.