The impact of audiovisual breathing guidance on respiratory-triggered cardiac magnetic resonance cine imaging.

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.

Patient Safety Indicators During the Initial COVID-19 Pandemic Surge in the United States.

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.

Smoking characteristics and years since quitting smoking of US adults diagnosed with lung and bladder cancer: A national health and nutrition examination survey analysis.

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.

The effect of limited english proficiency on prostate-specific antigen screening in American men.

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.

Permutation Tests for Assessing Potential Non-Linear Associations between Treatment Use and Multivariate Clinical Outcomes.

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.

Long-Term Impact of Medicaid Expansion on Prostate Cancer Screening.

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.

Racial differences in knowledge, attitudes, and sources of information about germline cancer genetic testing in the U.S.A.: An analysis of the health information National Trends Survey System.

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.

Changes in Prostate-specific Antigen Screening after the 2018 United States Preventive Services Task Force Recommendations and Through the COVID-19 Pandemic.

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.

Racial Disparities in Prostate Cancer Screening: The Role of Shared Decision Making.

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.

Impact of COVID-19 pandemic on ambulatory urologic oncology surgeries.

INTRODUCTION: Robot-assisted laparoscopic prostatectomy (RALP) and transurethral resection of bladder tumor (TURBT) are two common surgeries for prostate and bladder cancer. We aim to assess the trends in the site of care for RALP and TURBT before and after the COVID outbreak. MATERIALS AND METHODS: We identified adults who underwent RALP and TURBT within the California Healthcare Cost and Utilization Project State Inpatient Database and the State Ambulatory Surgery Database between 2018 and 2020. Multivariable analysis and spline analysis with a knot at COVID outbreak were performed to investigate the time trend and factors associated with ambulatory RALP and TURBT. RESULTS: Among 17,386 RALPs, 6,774 (39.0%) were ambulatory. Among 25,070 TURBTs, 21,573 (86.0%) were ambulatory. Pre-COVID, 33.5% of RALP and 85.3% and TURBT were ambulatory, which increased to 53.8% and 88.0% post-COVID (both p < 0.001). In multivariable model, RALP and TURBT performed after outbreak in March 2020 were more likely ambulatory (OR 2.31, p < 0.0001; OR 1.25, p < 0.0001). There was an overall increasing trend in use of ambulatory RALP both pre- and post-COVID, with no significant change of trend at the time of outbreak (p = 0.642). TURBT exhibited an increased shift towards ambulatory sites post-COVID (p < 0.0001). CONCLUSIONS: We found a shift towards ambulatory RALP and TURBT following COVID outbreak. There was a large increase in ambulatory RALP post-COVID, but the trend of change was not significantly different pre- and post-COVID - possibly due to a pre-existing trend towards ambulatory RALP which predated the pandemic.

The Association of County-level Prostate-specific Antigen Screening with Metastatic Prostate Cancer and Prostate Cancer Mortality.

BACKGROUND AND OBJECTIVE: There exists ongoing debate about the benefits and harms of prostate-specific antigen (PSA) screening for prostate cancer. This study sought to evaluate the association of county-level PSA screening rates with county-level incidence of metastatic prostate cancer and prostate cancer mortality in the USA. METHODS: This ecological study used data from the 2004-2012 Behavioral Risk Factor Surveillance System (BRFSS) to build a multilevel mixed-effect model with poststratification using US Census data to estimate county-level PSA screening rates for all 3143 US counties adjusted for age, race, ethnicity, and county-level poverty rates. The exposure of interest was average county-level PSA screening rate from 2004 to 2012, defined as the proportion of men aged 40-79 yr who underwent PSA screening within the prior 2 yr. The primary outcomes were county-level age-adjusted incidence of regional/distant prostate cancer during 2015-2019 and age-adjusted prostate cancer mortality during 2016-2020. KEY FINDINGS AND LIMITATIONS: A total of 416 221 male BRFSS respondents aged 40-79 yr met the inclusion criteria and were used in the multilevel mixed-effect model. The model was poststratified using 63.4 million men aged 40-79 yr from all 3143 counties in the 2010 Decennial Census. County-level estimated PSA screening rates exhibited geographic variability and were pooled at the state level for internal validation with direct BRFSS state-level estimates, showing a strong correlation with Pearson correlation coefficients 0.77-0.90. A 10% higher county-level probability of PSA screening in 2004-2012 was associated with a 14% lower county-level incidence of regional/distant prostate cancer in 2015-2019 (rate ratio 0.86, 95% confidence interval [CI] 0.85-0.87, p < 0.001) and 10% lower county-level prostate cancer mortality in 2016-2020 (rate ratio 0.90, 95% CI 0.89-0.91, p < 0.001). CONCLUSIONS AND CLINICAL IMPLICATIONS: In this population-based ecological study of all US counties, higher PSA screening rates were associated with a lower incidence of regional/distant prostate cancer and lower prostate cancer mortality at extended follow-up. PATIENT SUMMARY: US counties with higher rates of prostate-specific antigen (PSA) screening had significantly lower rates of metastatic prostate cancer and prostate cancer mortality in subsequent years. These data may inform shared decision-making regarding PSA screening for prostate cancer.

The national utilization of nonoperative management for small renal masses over 10 years.

BACKGROUND: Management of small renal masses often involves a nonoperative approach, but there is a paucity of information about the use and associated predictors of such approaches. This study aimed to determine the trends in and predictors of use of nonoperative management of small renal masses. METHODS: Using data from the National Cancer Database for localized small renal masses (N0/M0, cT1a) diagnosed between 2010 and 2020, we conducted a cross-sectional study. Nonoperative management was defined as expectant management (active surveillance or watchful waiting) or focal ablation. Adjusted odds ratios (AORs) were calculated using multivariable logistic regression models. RESULTS: Of the 156 734 patients included, 10.5% underwent expectant management, and 13.9% underwent focal ablation. Later year of diagnosis was associated with a higher likelihood of nonoperative management. In 2020, the odds of receiving expectant management and focal ablation were 90% (AOR = 1.90, 95% confidence interval [CI] = 1.71 to 2.11) and 44% (AOR = 1.44, 95% CI = 1.31 to 1.57) higher, respectively, than in 2010. Black patients had increased odds of expectant management (AOR = 1.47, 95% CI = 1.39 to 1.55) but decreased odds of focal ablation (AOR = 0.93, 95% CI = 0.88 to 0.99). CONCLUSION: Over the decade, the use nonoperative management of small renal masses increased, with expectant management more frequently used than focal ablation among Black patients. Possible explanations include race-based differences in physicians' risk assessments and resource allocation. Adjusting for Black race in calculations for glomerular filtration rate could influence the differential uptake of these techniques through deflated glomerular filtration rate calculations. These findings highlight the need for research and policies to ensure equitable use of less invasive treatments in small renal masses.

Clinical stage and grade migration of localized prostate cancer at diagnosis during the past decade.

OBJECTIVES: Early 2010s data suggest a reverse stage and grade migration towards more aggressive prostate cancer (PCa) at diagnosis, accelerated by the 2012 US Preventive Services Task Force recommendation against PSA screening. Using the National Cancer Database, we investigated the impact of the 2018 USPSTF recommendation and the COVID-19 outbreak on this shift. We hypothesized that the COVID-19 outbreak would further contribute to a stage and grade migration towards more aggressive disease. MATERIAL AND METHODS: We identified men with localized PCa diagnosed between 2010 and 2020. We analyzed the shift in the proportion of PCa stratified according to D'Amico risk classification. We used multivariable logistic regression models to assess the association between year of diagnosis and dichotomous variables related to clinical stage and grade of PCa. Predicted probabilities with 95% CI were computed through marginal effect analyses. RESULTS: We identified 910,898 men with localized PCa. The proportion of low-risk PCa almost halved from 34.9% in 2010 to 17.7% in 2020 (P < 0.001). Compared to 2010, we found in each year increased odds of: PSA≥10 ng/dL starting from 2012 (aOR2012 1.05; 95% CI, 1.02-1.08); cT3-T4 starting from 2015 (aOR2015 1.10; 95% CI, 1.03-1.17); ISUP GG 3-5 starting from 2011 (aOR2011 1.06; 95% CI, 1.03-1.08); and consequently, D'Amico intermediate/high-risk class starting from 2011 (aOR2011 1.03; 95% CI, 1.01-1.05). Fluctuations in the probabilities of PSA≥10 ng/dL and cT3-T4 at diagnosis were observed over time (all P < 0.001). The probability of PSA≥10 ng/dL peaked at 29.0% (95% CI, 28.0%-29.0%) in 2018, while the probability of cT3-T4 peaked at 3.7% (95% CI, 3.6%-3.8%) in 2020. All other outcome variables demonstrated a consistent upward shift (all P < 0.001), with the highest probabilities in 2020 for ISUP GG 3-5 (42.3%, 95% CI, 41.9%-42.6%) and D'Amico intermediate/high-risk (81.3%, 95% CI, 81.0%-81.6%). CONCLUSIONS: Our study confirms an enduring shift towards a higher proportion of aggressive PCa at diagnosis, likely influenced by the COVID-19 pandemic. The impact of the 2018 USPSTF PCa screening recommendation on the proportion of aggressive PCa seems restricted and likely affected by the pandemic outbreak. Future investigations should evaluate the long-term effects of the 2018 USPSTF recommendations in the postpandemic setting.

Single-lead arrhythmia detection through machine learning: cross-sectional evaluation of a novel algorithm using real-world data.

BACKGROUND: Computer-assisted interpretation of single-lead ECG is the preliminary method for clinicians to flag and further evaluate an arrhythmia of clinical importance for acutely ill patients. Critical scrutiny of novel detection algorithms is lacking, particularly in external real-world data sets. This study's objective was to evaluate a hybrid machine learning model's ability to classify eight arrhythmias from a single-lead ECG signal from acutely ill patients. METHODS: This cross-sectional external retrospective evaluation of a previously trained hybrid machine learning model against an ECG reading team in the setting of home hospital care (acute care delivered at home substituting for traditional hospital care) draws from patients admitted at two hospitals in Boston, Massachusetts, USA between 12 June 2017 and 23 November 2019. We calculated classifier statistics for each arrhythmia, all arrhythmias and strips where the model identified normal sinus rhythm. RESULTS: The model analysed 2 680 162 min of single-lead ECG data from 423 patients and identified 691 478 arrhythmias. Patients had a mean age of 70 years (SD, 18), 60% were female and 45% were white. For any arrhythmia, the model had a sensitivity of 98%, a specificity of 100%, an accuracy of 98%, a positive predictive value of 100%, a negative predictive value of 93% and an F1 Score of 99%. Performance was best for pause (F1 Score, 99%) and worst for paroxysmal supraventricular tachycardia (F1 Score, 92%). The model's false positive rate for any arrhythmia was 0.2%, ranging from 0.4% for pause to 7.2% for paroxysmal supraventricular tachycardia. The false negative rate for any arrhythmia was 1.9%. CONCLUSIONS: A hybrid machine learning model was effective at classifying common cardiac arrhythmias from a single-lead ECG in real-world data.

Patterns and Disparities in Telehealth Usage During the COVID-19 Pandemic Across Surgical Specialties.

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.

Multiple imputation for non-monotone missing not at random data using the no self-censoring model.

Although approaches for handling missing data from longitudinal studies are well-developed when the patterns of missingness are monotone, fewer methods are available for non-monotone missingness. Moreover, the conventional missing at random assumption-a natural benchmark for monotone missingness-does not model realistic beliefs about the non-monotone missingness processes (Robins and Gill, 1997). This has provided the impetus for alternative non-monotone missing not at random mechanisms. The "no self-censoring" model is such a mechanism and assumes the probability an outcome variable is missing is independent of its value when conditioning on all other possibly missing outcome variables and their missingness indicators. As an alternative to "weighting" methods that become computationally demanding with increasing number of outcome variables, we propose a multiple imputation approach under no self-censoring. We focus on the case of binary outcomes and present results of simulation and asymptotic studies to investigate the performance of the proposed imputation approach. We describe a related approach to sensitivity analysis to departure from no self-censoring. We discuss the relationship between missing at random and no self-censoring and prove that one is not a special case of the other. Finally, we discuss extensions to non-binary data settings. The proposed methods are illustrated with application to a substance use disorder clinical trial.

A Multiyear Survey Evaluating Clinician Electronic Health Record Satisfaction.

OBJECTIVES: We assessed how clinician satisfaction with a vendor electronic health record (EHR) changed over time in the 4 years following the transition from a homegrown EHR system to identify areas for improvement. METHODS: We conducted a multiyear survey of clinicians across a large health care system after transitioning to a vendor EHR. Eligible clinicians from the first institution to transition received a survey invitation by email in fall 2016 and then eligible clinicians systemwide received surveys in spring 2018 and spring 2019. The survey included items assessing ease/difficulty of completing tasks and items assessing perceptions of the EHR's value, usability, and impact. One item assessing overall satisfaction and one open-ended question were included. Frequencies and means were calculated, and comparison of means was performed between 2018 and 2019 on all clinicians. A multivariable generalized linear model was performed to predict the outcome of overall satisfaction. RESULTS: Response rates for the surveys ranged from 14 to 19%. The mean response from 3 years of surveys for one institution, Brigham and Women's Hospital, increased for overall satisfaction between 2016 (2.85), 2018 (3.01), and 2019 (3.21, p < 0.001). We found no significant differences in mean response for overall satisfaction between all responders of the 2018 survey (3.14) and those of the 2019 survey (3.19). Systemwide, tasks rated the most difficult included "Monitoring patient medication adherence," "Identifying when a referral has not been completed," and "Making a list of patients based on clinical information (e.g., problem, medication)." Clinicians disagreed the most with "The EHR helps me focus on patient care rather than the computer" and "The EHR allows me to complete tasks efficiently." CONCLUSION: Survey results indicate room for improvement in clinician satisfaction with the EHR. Usability of EHRs should continue to be an area of focus to ease clinician burden and improve clinician experience.

Methods for handling missing binary data in substance use disorder trials.

Missing data are a ubiquitous problem in longitudinal substance use disorder (SUD) clinical trials. In particular, the rates of missingness are often high and study participants often intermittently skip their scheduled outcome assessments, leading to so-called "non-monotone" missing data patterns. Moreover, when the primary outcome is a measure of substance use, study investigators often have strong prior beliefs based on their clinical experience that those participants with missing data are more likely to be using substances at those occasions, i.e., data are missing not at random (MNAR). Although approaches for handling missing data are well-developed when the missing data patterns are monotone, arising primarily from study participants withdrawing from the trial prematurely, fewer methods are available for non-monotone missingness. In this paper we review some conventional, as well as more novel, methods for handling non-monotone missingness in SUD trials when the repeatedly measured outcome variable is binary (e.g., denoting presence/absence of substance use). We compare and contrast the different approaches using data from a longitudinal clinical trial of four psychosocial treatments from the Collaborative Cocaine Treatment Study. We conclude by making some recommendations to the SUD research community concerning how more principled methods for handling missing data can be incorporated in the analysis and reporting of trial results.

Disparities in Travel-Related Barriers to Accessing Health Care From the 2017 National Household Travel Survey.

Importance: Geographic access, including mode of transportation, to health care facilities remains understudied. Objective: To identify sociodemographic factors associated with public vs private transportation use to access health care and identify the respondent, trip, and community factors associated with longer distance and time traveled for health care visits. Design, Setting, and Participants: This cross-sectional study used data from the 2017 National Household Travel Survey, including 16 760 trips or a nationally weighted estimate of 5 550 527 364 trips to seek care in the United States. Households that completed the recruitment and retrieval survey for all members aged 5 years and older were included. Data were analyzed between June and August 2022. Exposures: Mode of transportation (private vs public transportation) used to seek care. Main Outcomes and Measures: Survey-weighted multivariable logistic regression models were used to identify factors associated with public vs private transportation and self-reported distance and travel time. Then, for each income category, an interaction term of race and ethnicity with type of transportation was used to estimate the specific increase in travel burden associated with using public transportation compared a private vehicle for each race category. Results: The sample included 12 092 households and 15 063 respondents (8500 respondents [56.4%] aged 51-75 years; 8930 [59.3%] females) who had trips for medical care, of whom 1028 respondents (6.9%) were Hispanic, 1164 respondents (7.8%) were non-Hispanic Black, and 11 957 respondents (79.7%) were non-Hispanic White. Factors associated with public transportation use included non-Hispanic Black race (compared with non-Hispanic White: adjusted odds ratio [aOR], 3.54 [95% CI, 1.90-6.61]; P < .001) and household income less than $25 000 (compared with ≥$100 000: aOR, 7.16 [95% CI, 3.50-14.68]; P < .001). The additional travel time associated with use of public transportation compared with private vehicle use varied by race and household income, with non-Hispanic Black respondents with income of $25 000 to $49 999 experiencing higher burden associated with public transportation (mean difference, 81.9 [95% CI, 48.5-115.3] minutes) than non-Hispanic White respondents with similar income (mean difference, 25.5 [95% CI, 17.5-33.5] minutes; P < .001). Conclusions and Relevance: These findings suggest that certain racial, ethnic, and socioeconomically disadvantaged populations rely on public transportation to seek health care and that reducing delays associated with public transportation could improve care for these patients.