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OBJECTIVES: This study aimed to pilot an application-based patient diagnostic questionnaire (PDQ) and assess the concordance of the admission diagnosis reported by the patient and entered by the clinician. METHODS: Eligible patients completed the PDQ assessing patients' understanding of and confidence in the diagnosis 24 hours into hospitalization either independently or with assistance. Demographic data, the hospital principal problem upon admission, and International Classification of Diseases 10th Revision (ICD-10) codes were retrieved from the electronic health record (EHR). Two physicians independently rated concordance between patient-reported diagnosis and clinician-entered principal problem as full, partial, or no. Discrepancies were resolved by consensus. Descriptive statistics were used to report demographics for concordant (full) and nonconcordant (partial or no) outcome groups. Multivariable logistic regressions of PDQ questions and a priori selected EHR data as independent variables were conducted to predict nonconcordance. RESULTS: A total of 157 (77.7%) questionnaires were completed by 202 participants; 77 (49.0%), 46 (29.3%), and 34 (21.7%) were rated fully concordant, partially concordant, and not concordant, respectively. Cohen's kappa for agreement on preconsensus ratings by independent reviewers was 0.81 (0.74, 0.88). In multivariable analyses, patient-reported lack of confidence and undifferentiated symptoms (ICD-10 "R-code") for the principal problem were significantly associated with nonconcordance (partial or no concordance ratings) after adjusting for other PDQ questions (3.43 [1.30, 10.39], p = 0.02) and in a model using selected variables (4.02 [1.80, 9.55], p < 0.01), respectively. CONCLUSION: About one-half of patient-reported diagnoses were concordant with the clinician-entered diagnosis on admission. An ICD-10 "R-code" entered as the principal problem and patient-reported lack of confidence may predict patient-clinician nonconcordance early during hospitalization via this approach.

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OBJECTIVES: Post-discharge adverse events (AEs) are common and heralded by new and worsening symptoms (NWS). We evaluated the effect of electronic health record (EHR)-integrated digital tools designed to promote quality and safety in hospitalized patients on NWS and AEs after discharge. MATERIALS AND METHODS: Adult general medicine patients at a community hospital were enrolled. We implemented a dashboard which clinicians used to assess safety risks during interdisciplinary rounds. Post-implementation patients were randomized to complete a discharge checklist whose responses were incorporated into the dashboard. Outcomes were assessed using EHR review and 30-day call data adjudicated by 2 clinicians and analyzed using Poisson regression. We conducted comparisons of each exposure on post-discharge outcomes and used selected variables and NWS as independent predictors to model post-discharge AEs using multivariable logistic regression. RESULTS: A total of 260 patients (122 pre, 71 post [dashboard], 67 post [dashboard plus discharge checklist]) enrolled. The adjusted incidence rate ratios (aIRR) for NWS and AEs were unchanged in the post- compared to pre-implementation period. For patient-reported NWS, aIRR was non-significantly higher for dashboard plus discharge checklist compared to dashboard participants (1.23 [0.97,1.56], P = .08). For post-implementation patients with an AE, aIRR for duration of injury (>1 week) was significantly lower for dashboard plus discharge checklist compared to dashboard participants (0 [0,0.53], P < .01). In multivariable models, certain patient-reported NWS were associated with AEs (3.76 [1.89,7.82], P < .01). DISCUSSION: While significant reductions in post-discharge AEs were not observed, checklist participants experiencing a post-discharge AE were more likely to report NWS and had a shorter duration of injury. CONCLUSION: Interventions designed to prompt patients to report NWS may facilitate earlier detection of AEs after discharge. CLINICALTRIALS.GOV: NCT05232656.

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BACKGROUND: The rise in advanced prostate cancer has coincided with increased use of Magnetic Resonance Imaging (MRI), leading to the hypothesis that this increase in surveillance registries is an artifact of more sensitive imaging tools. We assessed the association between regional variation in prostate MRI and advanced prostate cancer diagnoses. METHODS: We utilized SEER-Medicare data (2004-2015), including men > 65 diagnosed with localized prostate cancer. The predictor variable was the utilization of prostate MRI in each hospital referral region (HRR, representing regional healthcare markets). We compared the proportion of disease recorded as locally advanced or of regional risk group (cT3, cT4, and cN1) which would plausibly have been detected by prostate MRI. We conducted adjusted multivariable analysis and performed correlation analysis with Spearman rank coefficient at the level of the HRR. Sensitivity analysis for years 2011 to 2015 was conducted. RESULTS: Of 98,921 men diagnosed, 4.01% had locally advanced or regional disease. The median prostate MRI utilization rate was 4.58% (IQR [3.03%, 8.12%]). Adjusted multivariable analysis revealed no statistically significant correlation between MRI utilization and proportion of advanced prostate cancer (aOR = 1.01, 95% CI, [0.99,1.03]) in each region. The correlation between MRI usage and advanced diagnosis was not significant (Spearman Ρ = 0.09, P = 0.4). Sensitivity analysis conducted between 2011 and 2015 showed similar results (aOR = 1.008, 95% CI, [0.989, 1.027]; Spearman Ρ = 0.16, P = 0.1). CONCLUSIONS: During our study period, HRR-level utilization of MRI was not associated with higher incidences of advanced prostate cancer. This suggests the rising advanced prostate cancer diagnoses observed in this period are unlikely an artifact of greater sensitivity of modern imaging tests, but potentially due to other factors such as changes in screening or risk factors. With increased utilization and evolving techniques in recent years, the association between MRI and advanced prostate cancer detection warrants continued monitoring.

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BACKGROUND: The objective of this study was to quantify disparities in cancer treatment delivery between minority-serving hospitals (MSHs) and non-MSHs for breast, prostate, nonsmall cell lung, and colon cancers from 2010 to 2019 and to estimate the impact of improving care at MSHs on national disparities. METHODS: Data from the National Cancer Database (2010-2019) identified patients who were eligible for definitive treatments for the specified cancers. Hospitals in the top decile by minority patient proportion were classified as MSHs. Multivariable logistic regression adjusted for patient and hospital characteristics compared the odds of receiving definitive treatment at MSHs versus non-MSHs. A simulation was used to estimate the increase in patients receiving definitive treatment if MSH care matched the levels of non-MSH care. RESULTS: Of 2,927,191 patients from 1330 hospitals, 9.3% were treated at MSHs. MSHs had significant lower odds of delivering definitive therapy across all cancer types (adjusted odds ratio: breast cancer, 0.83; prostate cancer, 0.69; nonsmall cell lung cancer, 0.73; colon cancer, 0.81). No site of care-race interaction was significant for any of the cancers (p > .05). Equalizing treatment rates at MSHs could result in 5719 additional patients receiving definitive treatment over 10 years. CONCLUSIONS: The current findings underscore systemic disparities in definitive cancer treatment delivery between MSHs and non-MSHs for breast, prostate, nonsmall cell lung, and colon cancers. Although targeted improvements at MSHs represent a critical step toward equity, this study highlights the need for integrated, system-wide efforts to address the multifaceted nature of racial and ethnic health disparities. Enhancing care at MSHs could serve as a pivotal strategy in a broader initiative to achieve health care equity for all.

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This retrospective study uses electronic health record data to investigate the sex differences in guideline-based management outcomes between male and female patients with chronic kidney disease.

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This cross-sectional study assesses the implication of patients' English language skills for telehealth use and visit experience.

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Importance: Time on the electronic health record (EHR) is associated with burnout among physicians. Newer virtual scribe models, which enable support from either a real-time or asynchronous scribe, have the potential to reduce the burden of the EHR and EHR-related documentation. Objective: To characterize the association of use of virtual scribes with changes in physicians' EHR time and note and order composition and to identify the physician, scribe, and scribe response factors associated with changes in EHR time upon virtual scribe use. Design, Setting, and Participants: Retrospective, pre-post quality improvement study of 144 physicians across specialties who had used a scribe for at least 3 months from January 2020 to September 2022, were affiliated with Brigham and Women's Hospital and Massachusetts General Hospital, and cared for patients in the outpatient setting. Data were analyzed from November 2022 to January 2024. Exposure: Use of either a real-time or asynchronous virtual scribe. Main Outcomes: Total EHR time, time on notes, and pajama time (5:30 pm to 7:00 am on weekdays and nonscheduled weekends and holidays), all per appointment; proportion of the note written by the physician and team contribution to orders. Results: The main study sample included 144 unique physicians who had used a virtual scribe for at least 3 months in 152 unique scribe participation episodes (134 [88.2%] had used an asynchronous scribe service). Nearly two-thirds of the physicians (91 physicians [63.2%]) were female and more than half (86 physicians [59.7%]) were in primary care specialties. Use of a virtual scribe was associated with significant decreases in total EHR time per appointment (mean [SD] of 5.6 [16.4] minutes; P < .001) in the 3 months after vs the 3 months prior to scribe use. Scribe use was also associated with significant decreases in note time per appointment and pajama time per appointment (mean [SD] of 1.3 [3.3] minutes; P < .001 and 1.1 [4.0] minutes; P = .004). In a multivariable linear regression model, the following factors were associated with significant decreases in total EHR time per appointment with a scribe use at 3 months: practicing in a medical specialty (-7.8; 95% CI, -13.4 to -2.2 minutes), greater baseline EHR time per appointment (-0.3; 95% CI, -0.4 to -0.2 minutes per additional minute of baseline EHR time), and decrease in the percentage of the note contributed by the physician (-9.1; 95% CI, -17.3 to -0.8 minutes for every percentage point decrease). Conclusions and Relevance: In 2 academic medical centers, use of virtual scribes was associated with significant decreases in total EHR time, time spent on notes, and pajama time, all per appointment. Virtual scribes may be particularly effective among medical specialists and those physicians with greater baseline EHR time.

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Importance: The decision for surgical vs nonsurgical treatment for hip fracture can be complicated among community-dwelling people living with dementia. Objective: To compare outcomes of community-dwelling people living with dementia treated surgically and nonsurgically for hip fracture. Design, Setting, and Participants: This retrospective cross-sectional study undertook a population-based analysis of national Medicare fee-for-service data. Participants included community-dwelling Medicare beneficiaries with dementia and an inpatient claim for hip fracture from January 1, 2017, to June 30, 2018. Analyses were conducted from November 10, 2022, to October 17, 2023. Exposure: Surgical vs nonsurgical treatment for hip fracture. Main Outcomes and Measures: The primary outcome was mortality within 30, 90, and 180 days. Secondary outcomes consisted of selected post-acute care services. Results: Of 56 209 patients identified with hip fracture (73.0% women; mean [SD] age, 86.4 [7.0] years), 33 142 (59.0%) were treated surgically and 23 067 (41.0%) were treated nonsurgically. Among patients treated surgically, 73.3% had a fracture of the femoral head and neck and 40.2% had moderate to severe dementia (MSD). Among patients with MSD and femoral head and neck fracture, 180-day mortality was 31.8% (surgical treatment) vs 45.7% (nonsurgical treatment). For patients with MSD treated surgically vs nonsurgically, the unadjusted odds ratio (OR) of 180-day mortality was 0.56 (95% CI, 0.49-0.62; P < .001) and the adjusted OR was 0.59 (95% CI, 0.53-0.66; P < .001). Among patients with mild dementia and femoral head and neck fracture, 180-day mortality was 26.5% (surgical treatment) vs 34.9% (nonsurgical treatment). For patients with mild dementia who were treated surgically vs nonsurgically for femoral head and neck fracture, the unadjusted OR of 180-day mortality was 0.67 (95% CI, 0.60-0.76; P < .001) and the adjusted OR was 0.71 (95% CI, 0.63-0.79; P < .001). For patients with femoral head and neck fracture, there was no difference in admission to a nursing home within 180 days when treated surgically vs nonsurgically. Conclusions and Relevance: In this cohort study of community-dwelling patients with dementia and fracture of the femoral head and neck, patients with MSD and mild dementia treated surgically experienced lower odds of death compared with patients treated nonsurgically. Although avoiding nursing home admission is important to persons living with dementia, being treated surgically for hip fracture did not necessarily confer a benefit in that regard. These data can help inform discussions around values and goals with patients and caregivers when determining the optimal treatment approach.

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BACKGROUND: In patients who have difficulty holding their breath, a free breathing (FB) respiratory-triggered (RT) bSSFP cine technique may be used. However, this technique may have inferior image quality and a longer scan time than breath-hold (BH) bSSFP cine acquisitions. This study examined the effect of an audiovisual breathing guidance (BG) system on RT bSSFP cine image quality, scan time, and ventricular measurements. METHODS: This study evaluated a BG system that provides audiovisual instructions and feedback on the timing of inspiration and expiration to the patient during image acquisition using input from the respiratory bellows to guide them toward a regular breathing pattern with extended end-expiration. In this single-center prospective study in patients undergoing a clinical cardiac magnetic resonance examination, a ventricular short-axis stack of bSSFP cine images was acquired using 3 techniques in each patient: 1) FB and RT (FBRT), 2) BG system and RT (BGRT), and 3) BH. The 3 acquisitions were compared for image quality metrics (endocardial edge definition, motion artifact, and blood-to-myocardial contrast) scored on a Likert scale, scan time, and ventricular volumes and mass. RESULTS: Thirty-two patients (19 females; median age 21 years, IQR 18-32) completed the study protocol. For scan time, BGRT was faster than FBRT (163 s vs. 345 s, p < 0.001). Endocardial edge definition, motion artifact, and blood-to-myocardial contrast were all better for BGRT than FBRT (p < 0.001). Left ventricular (LV) end-systolic volume (ESV) was smaller (3%, p = 0.02) and LV ejection fraction (EF) was larger (0.5%, p = 0.003) with BGRT than with FBRT. There was no significant difference in LV end-diastolic volume (EDV), LV mass, right ventricular (RV) EDV, RV ESV, and RV EF. Scan times were shorter for BGRT compared to BH. Endocardial edge definition and blood-to-myocardial contrast were better for BH than BGRT. Compared to BH, the LV EDV, LV ESV, RV EDV, and RV ESV were mildly smaller (all differences <7%) for BGRT. CONCLUSIONS: The addition of a BG system to RT bSSFP cine acquisitions decreased the scan time and improved image quality. Further exploration of this BG approach is warranted in more diverse populations and with other free breathing sequences.

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ABSTRACT Purpose: Smoking is a recognized risk factor for bladder BC and lung cancer LC. We investigated the enduring risk of BC after smoking cessation using U.S. national survey data. Our analysis focused on comparing characteristics of LC and BC patients, emphasizing smoking status and the latency period from smoking cessation to cancer diagnosis in former smokers. Materials and Methods: We analyzed data from the National Health and Examination Survey (2003-2016), identifying adults with LC or BC history. Smoking status (never, active, former) and the interval between quitting smoking and cancer diagnosis for former smokers were assessed. We reported descriptive statistics using frequencies and percentages for categorical variables and median with interquartile ranges (IQR) for continuous variables. Results: Among LC patients, 8.9% never smoked, 18.9% active smokers, and 72.2% former smokers. Former smokers had a median interval of 8 years (IQR 2-12) between quitting and LC diagnosis, with 88.3% quitting within 0-19 years before diagnosis. For BC patients, 26.8% never smoked, 22.4% were active smokers, and 50.8% former smokers. Former smokers had a median interval of 21 years (IQR 14-33) between quitting and BC diagnosis, with 49.3% quitting within 0-19 years before diagnosis. Conclusions: BC patients exhibit a prolonged latency period between smoking cessation and cancer diagnosis compared to LC patients. Despite smoking status evaluation in microhematuria, current risk stratification models for urothelial cancer do not incorporate it. Our findings emphasize the significance of long-term post-smoking cessation surveillance and advocate for integrating smoking history into future risk stratification guidelines.

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OBJECTIVE: The COVID-19 pandemic presented a challenge to inpatient safety. It is unknown whether there were spillover effects due to COVID-19 into non-COVID-19 care and safety. We sought to evaluate the changes in inpatient Agency for Healthcare Research and Quality patient safety indicators (PSIs) in the United States before and during the first surge of the pandemic among patients admitted without COVID-19. METHODS: We analyzed trends in PSIs from January 2019 to June 2020 in patients without COVID-19 using data from IBM MarketScan Commercial Database. We included members of employer-sponsored or Medicare supplemental health plans with inpatient, non-COVID-19 admissions. The primary outcomes were risk-adjusted composite and individual PSIs. RESULTS: We analyzed 1,869,430 patients admitted without COVID-19. Among patients without COVID-19, the composite PSI score was not significantly different when comparing the first surge (Q2 2020) to the prepandemic period (e.g., Q2 2020 score of 2.46 [95% confidence interval {CI}, 2.34-2.58] versus Q1 2020 score of 2.37 [95% CI, 2.27-2.46]; P = 0.22). Individual PSIs for these patients during Q2 2020 were also not significantly different, except in-hospital fall with hip fracture (e.g., Q2 2020 was 3.42 [95% CI, 3.34-3.49] versus Q4 2019 was 2.45 [95% CI, 2.40-2.50]; P = 0.01). CONCLUSIONS: The first surge of COVID-19 was not associated with worse inpatient safety for patients without COVID-19, highlighting the ability of the healthcare system to respond to the initial surge of the pandemic.

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PURPOSE: Smoking is a recognized risk factor for bladder BC and lung cancer LC. We investigated the enduring risk of BC after smoking cessation using U.S. national survey data. Our analysis focused on comparing characteristics of LC and BC patients, emphasizing smoking status and the latency period from smoking cessation to cancer diagnosis in former smokers. MATERIALS AND METHODS: We analyzed data from the National Health and Examination Survey (2003-2016), identifying adults with LC or BC history. Smoking status (never, active, former) and the interval between quitting smoking and cancer diagnosis for former smokers were assessed. We reported descriptive statistics using frequencies and percentages for categorical variables and median with interquartile ranges (IQR) for continuous variables. RESULTS: Among LC patients, 8.9% never smoked, 18.9% active smokers, and 72.2% former smokers. Former smokers had a median interval of 8 years (IQR 2-12) between quitting and LC diagnosis, with 88.3% quitting within 0-19 years before diagnosis. For BC patients, 26.8% never smoked, 22.4% were active smokers, and 50.8% former smokers. Former smokers had a median interval of 21 years (IQR 14-33) between quitting and BC diagnosis, with 49.3% quitting within 0-19 years before diagnosis. CONCLUSIONS: BC patients exhibit a prolonged latency period between smoking cessation and cancer diagnosis compared to LC patients. Despite smoking status evaluation in microhematuria, current risk stratification models for urothelial cancer do not incorporate it. Our findings emphasize the significance of long-term post-smoking cessation surveillance and advocate for integrating smoking history into future risk stratification guidelines.

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PURPOSE: To evaluate how limited English proficiency (LEP) impacts the prevalence of prostate-specific antigen (PSA) screening in a contemporary, nationally representative cohort of men in the USA. METHODS: The Medical Expenditure Panel Survey was utilized to identify the prevalence of PSA screening between 2013 and 2016 among men ≥ 55. Men who speak a language other than English at home were stratified by self-reported levels of English proficiency (men who speak English very well, well, not well, or not at all). Survey weights were applied, and groups were compared using the adjusted Wald test. A multivariable logistic regression model was used to identify predictors of PSA screening adjusting for patient-level covariates. RESULTS: The cohort included 2,889 men, corresponding to a weighted estimate of 4,765,682 men. 79.6% of men who speak English very well reported receiving at least one lifetime PSA test versus 58.4% of men who do not speak English at all (p < 0.001). Men who reported not speaking English at all had significantly lower prevalence of PSA screening (aOR 0.56; 95% CI 0.35-0.91; p = 0.019). Other significant predictors of PSA screening included older age, income > 400% of the federal poverty level, insurance coverage, and healthcare utilization. CONCLUSIONS: Limited English proficiency is associated with significantly lower prevalence of PSA screening among men in the USA. Interventions to mitigate disparities in prostate cancer outcomes should account for limited English proficiency among the barriers to guideline-concordant care.

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INTRODUCTION: The 2018 U.S. Preventive Services Task Force recommendations endorsed shared decision making for men aged 55-69 years, encouraging consideration of patient race/ethnicity for prostate-specific antigen screening. This study aimed to assess whether a proxy shared decision-making variable modified the impact of race/ethnicity on the likelihood of prostate-specific antigen screening. METHODS: A cross-sectional analysis of men aged between 55 and 69 years, who responded to the prostate-specific antigen screening portions of the 2020 U.S.-based Behavioral Risk Factor Surveillance System survey, was performed between September and December 2022. Complex sample multivariable logistic regression models with an interaction term combining race and estimated shared decision making were used to test whether shared decision making modified the impact of race/ethnicity on screening. RESULTS: Of a weighted sample of 26.8 million men eligible for prostate-specific antigen screening, 25.7% (6.9 million) reported for prostate-specific antigen screening. In adjusted analysis, estimated shared decision making was a significant predictor of prostate-specific antigen screening (AOR=2.65, 95% CI=2.36, 2.98, p<0.001). The interaction between race/ethnicity and estimated shared decision making on the receipt of prostate-specific antigen screening was significant (pint=0.001). Among those who did not report estimated shared decision making, both non-Hispanic Black (OR=0.77, 95% CI=0.61, 0.97, p=0.026) and Hispanic (OR=0.51, 95% CI=0.39, 0.68, p<0.001) men were significantly less likely to undergo prostate-specific antigen screening than non-Hispanic White men. On the contrary, among respondents who reported estimated shared decision making, no race-based differences in prostate-specific antigen screening were found. CONCLUSIONS: Although much disparities research focuses on race-based differences in prostate-specific antigen screening, research on strategies to mitigate these disparities is needed. Shared decision making might attenuate the impact of race/ethnic disparities on the likelihood of prostate-specific antigen screening.

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We analyzed trends in prostate-specific antigen (PSA) screening for prostate cancer, with a focus on the impact of the 2018 US Preventive Services Task Force (USPSTF) recommendations and the COVID-19 outbreak. Using National Health Interview Survey data, we performed difference-in-difference (DID) analyses to examine the PSA screening trend for men aged 55-69 yr, the target population in the 2018 USPSTF update, with men aged >69 yr included as the reference and adjustment for sociodemographic factors. We found that PSA screening increased for men aged 55-69 yr (+4.6%, 95% confidence interval [CI] 1.7-7.5%) or >69 yr (+6.5%, 95% CI 2.7-10.4%) in 2019 (after the 2018 recommendations) in comparison to 2015. There was a decrease in PSA screening for men aged 55-69 yr in 2021 in comparison to 2019 (after the COVID-19 outbreak in 2020) of -3.1% (95%CI -0.4% to -5.8%). Adjusted DID analysis revealed no significant variations in the rate of change in PSA screening between the two age groups following both events. Despite its observational nature, our design mitigates major challenges in inferring causal relationships. Our results suggest a causal relationship between the 2018 screening guidelines and an increase in screening rates for men aged 55-69 yr. Conversely, they also indicate that preventive care disruptions related to COVID-19 may have induced deceleration or potentially reversal of these advances. PATIENT SUMMARY: We used data from a large national survey to study the rate of prostate-specific antigen (PSA) screening for prostate cancer in the USA in response to the 2018 United States Preventive Services Task Force recommendations and to the COVID-19 pandemic. We found an increase in PSA screening in 2019 among men aged 55-69 yr, the target population in the 2018 recommendations, as well as men aged >69 yr. However, this increase was reduced after the COVID-19 outbreak. It remains to be seen how PSA screening continues to change as the world recovers from COVID-19.

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Background: The COVID-19 pandemic has accelerated telehealth usage. This study aims to understand the impact of sociodemographic factors on telehealth usage during COVID-19 among surgical specialties. Methods: Our data contain surgical outpatient visits at an academic center from five periods between 2019 and 2020. A difference-in-differences regression model was used to examine the effect of exposure variables on virtual visit proportions between prepandemic and postpandemic time periods. Results: Compared with white patients, non-Medicare beneficiaries, and English-proficient patients, the rate of uptake in telehealth visits from prepandemic to postpandemic periods was lower for black patients, Medicare beneficiaries, and non-English-speaking patients, respectively. Surgical subspecialties saw varied usage of telehealth. A strong preference for phone visits by black patients, Medicare beneficiaries, and non-English-speaking patients existed. Conclusion: Phone visits are an important resource for marginalized communities. Understanding disparities in telemedicine usage may inform policy that could alleviate inequities in health care access.

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PURPOSE: To understand racial disparities in germline cancer genetic testing and the role of prior knowledge, attitudes, and sources of information. METHODS: A cross-sectional analysis of the Health Information National Trends Survey 5 (HINTS 5) was conducted between February 24th and June 15th, 2020. The study aimed to investigate knowledge and receipt of genetic testing, attitudes toward the importance of genetic testing in preventing, detecting, and treating cancer, and information sources of genetic testing in the United States of America. RESULTS: Non-Hispanic Black (NHB) and Hispanic race/ethnicity were associated with lower odds of being informed about genetic testing, whereas those of NHB race were more likely to endorse the importance of genetic testing in cancer prevention and treatment. Regarding sources of information about genetic testing: Non-Hispanic Asians were less likely to be informed about genetic testing from television (Mean Predicted Probability (MPP) 0.38 95%CI; 0.21-0.55, (Adjusted Risk Difference) ARD vs. Non-Hispanic White (NHW); -0.228, p = 0.01), NHB were less likely to report being informed about genetic testing from social media (MPP 0.27 95%CI; 0.20-0.34, ARD vs. NHW; -0.139, p < 0.01). CONCLUSIONS: NHB and Hispanic groups face unequal access to information about genetic testing. There are significant race-based differences in information sources. These differences could be used to promote equitable access to cancer genetic testing.

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INTRODUCTION: Prostate cancer is the most common noncutaneous malignancy in men. The updated PSA testing 2018 United States Preventive Services Task Force guidelines recommend shared decision-making for men ages 55 to 69. In 2010, the Affordable Care Act expanded Medicaid coverage to childless adults earning < 138% of the federal poverty level. Thereafter, individual states have chosen to adopt or defer Medicaid expansion at different times. This allows for the opportunity to study the effects of expansion on a population that did not previously qualify for Medicaid. We examine the long-term association of Medicaid expansion on prostate cancer screening. METHODS: Data from the Behavioral Risk Factor Surveillance System were extracted for childless men earning less than 138% of the federal poverty level in states with different Medicaid expansion statuses from 2012 to 2020. States were classified into 4 expansion categories: very early expansion states, early expansion states, late expansion states, and nonexpansion states. Prevalence of PSA screening was determined for each category of expansion. Difference-in-difference analyses were used to understand variations in very early expansion states, early expansion states, and late expansion states trends with reference to nonexpansion states. RESULTS: PSA screening prevalence decreased in very early expansion states (27.76% vs 18.50%), early expansion states (33.79% vs 18.09%), late expansion states (36.08% vs 19.14%), and nonexpansion states (38.82% vs 24.40%) from 2012 to 2020. However, the difference-in-difference analyses did not show statistically significant results among any of the years and expansion category groups in our study period. CONCLUSIONS: PSA screening prevalence decreased in all states, regardless of expansion category. No long-term effect of Medicaid expansion on PSA screening prevalence was observed among states with different expansion statuses.

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In many psychometric applications, the relationship between the mean of an outcome and a quantitative covariate is too complex to be described by simple parametric functions; instead, flexible nonlinear relationships can be incorporated using penalized splines. Penalized splines can be conveniently represented as a linear mixed effects model (LMM), where the coefficients of the spline basis functions are random effects. The LMM representation of penalized splines makes the extension to multivariate outcomes relatively straightforward. In the LMM, no effect of the quantitative covariate on the outcome corresponds to the null hypothesis that a fixed effect and a variance component are both zero. Under the null, the usual asymptotic chi-square distribution of the likelihood ratio test for the variance component does not hold. Therefore, we propose three permutation tests for the likelihood ratio test statistic: one based on permuting the quantitative covariate, the other two based on permuting residuals. We compare via simulation the Type I error rate and power of the three permutation tests obtained from joint models for multiple outcomes, as well as a commonly used parametric test. The tests are illustrated using data from a stimulant use disorder psychosocial clinical trial.

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