Telehealth Experience Among Patients With Limited English Proficiency.

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

The Safety of Outpatient Health Care : Review of Electronic Health Records.

BACKGROUND: Despite considerable emphasis on delivering safe care, substantial patient harm occurs. Although most care occurs in the outpatient setting, knowledge of outpatient adverse events (AEs) remains limited. OBJECTIVE: To measure AEs in the outpatient setting. DESIGN: Retrospective review of the electronic health record (EHR). SETTING: 11 outpatient sites in Massachusetts in 2018. PATIENTS: 3103 patients who received outpatient care. MEASUREMENTS: Using a trigger method, nurse reviewers identified possible AEs and physicians adjudicated them, ranked severity, and assessed preventability. Generalized estimating equations were used to assess the association of having at least 1 AE with age, sex, race, and primary insurance. Variation in AE rates was analyzed across sites. RESULTS: The 3103 patients (mean age, 52 years) were more often female (59.8%), White (75.1%), English speakers (90.8%), and privately insured (70.4%) and had a mean of 4 outpatient encounters in 2018. Overall, 7.0% (95% CI, 4.6% to 9.3%) of patients had at least 1 AE (8.6 events per 100 patients annually). Adverse drug events were the most common AE (63.8%), followed by health care-associated infections (14.8%) and surgical or procedural events (14.2%). Severity was serious in 17.4% of AEs, life-threatening in 2.1%, and never fatal. Overall, 23.2% of AEs were preventable. Having at least 1 AE was less often associated with ages 18 to 44 years than with ages 65 to 84 years (standardized risk difference, -0.05 [CI, -0.09 to -0.02]) and more often associated with Black race than with Asian race (standardized risk difference, 0.09 [CI, 0.01 to 0.17]). Across study sites, 1.8% to 23.6% of patients had at least 1 AE and clinical category of AEs varied substantially. LIMITATION: Retrospective EHR review may miss AEs. CONCLUSION: Outpatient harm was relatively common and often serious. Adverse drug events were most frequent. Rates were higher among older adults. Interventions to curtail outpatient harm are urgently needed. PRIMARY FUNDING SOURCE: Controlled Risk Insurance Company and the Risk Management Foundation of the Harvard Medical Institutions.

Sex Differences in Primary Care-Based Chronic Kidney Disease Management.

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.

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.

Looking Beyond Mortality Prediction: Primary Care Physician Views of Patients' Palliative Care Needs Predicted by a Machine Learning Tool.

OBJECTIVE: To assess primary care physicians' (PCPs) perception of the need for serious illness conversations (SIC) or other palliative care interventions in patients flagged by a machine learning tool for high one-year mortality risk. MATERIALS AND METHODS: We surveyed PCPs from four Brigham and Women's Hospital primary care practice sites. Multiple mortality prediction algorithms were ensembled to assess adult patients of these PCPs who were either enrolled in the hospital's integrated care management program or had one of several chronic conditions. The patients were classified as high or low-risk of one-year mortality. A blinded survey had PCPs evaluate these patients for palliative care needs. We measured PCP and machine learning tool agreement regarding patients' need for an SIC/elevated risk of mortality. RESULTS: Of 66 PCPs, 20 (30.3%) participated in the survey. Out of 312 patients evaluated, 60.6% were female, with a mean (SD) age of 69.3 (17.5) years, and a mean (SD) Charlson comorbidity index of 2.80 (2.89). The machine learning tool identified 162 (51.9%) patients as high-risk. Excluding deceased or unfamiliar patients, PCPs felt that an SIC was appropriate for 179 patients; the machine learning tool flagged 123 of these patients as high-risk (68.7% concordance). For 105 patients whom PCPs deemed SIC-unnecessary, the tool classified 83 as low-risk (79.1% concordance). There was substantial agreement between PCPs and the tool (Gwet's agreement coefficient of 0.640). CONCLUSIONS AND RELEVANCE: A machine learning mortality prediction tool offers promise as a clinical decision aid, helping clinicians pinpoint patients needing palliative care interventions.

Clinical Decision Support for Hypertension Management in Chronic Kidney Disease: A Randomized Clinical Trial.

Importance: Chronic kidney disease (CKD) affects 37 million adults in the United States, and for patients with CKD, hypertension is a key risk factor for adverse outcomes, such as kidney failure, cardiovascular events, and death. Objective: To evaluate a computerized clinical decision support (CDS) system for the management of uncontrolled hypertension in patients with CKD. Design, Setting, and Participants: This multiclinic, randomized clinical trial randomized primary care practitioners (PCPs) at a primary care network, including 15 hospital-based, ambulatory, and community health center-based clinics, through a stratified, matched-pair randomization approach February 2021 to February 2022. All adult patients with a visit to a PCP in the last 2 years were eligible and those with evidence of CKD and hypertension were included. Intervention: The intervention consisted of a CDS system based on behavioral economic principles and human-centered design methods that delivered tailored, evidence-based recommendations, including initiation or titration of renin-angiotensin-aldosterone system inhibitors. The patients in the control group received usual care from PCPs with the CDS system operating in silent mode. Main Outcomes and Measures: The primary outcome was the change in mean systolic blood pressure (SBP) between baseline and 180 days compared between groups. The primary analysis was a repeated measures linear mixed model, using SBP at baseline, 90 days, and 180 days in an intention-to-treat repeated measures model to account for missing data. Secondary outcomes included blood pressure (BP) control and outcomes such as percentage of patients who received an action that aligned with the CDS recommendations. Results: The study included 174 PCPs and 2026 patients (mean [SD] age, 75.3 [0.3] years; 1223 [60.4%] female; mean [SD] SBP at baseline, 154.0 [14.3] mm Hg), with 87 PCPs and 1029 patients randomized to the intervention and 87 PCPs and 997 patients randomized to usual care. Overall, 1714 patients (84.6%) were treated for hypertension at baseline. There were 1623 patients (80.1%) with an SBP measurement at 180 days. From the linear mixed model, there was a statistically significant difference in mean SBP change in the intervention group compared with the usual care group (change, -14.6 [95% CI, -13.1 to -16.0] mm Hg vs -11.7 [-10.2 to -13.1] mm Hg; P = .005). There was no difference in the percentage of patients who achieved BP control in the intervention group compared with the control group (50.4% [95% CI, 46.5% to 54.3%] vs 47.1% [95% CI, 43.3% to 51.0%]). More patients received an action aligned with the CDS recommendations in the intervention group than in the usual care group (49.9% [95% CI, 45.1% to 54.8%] vs 34.6% [95% CI, 29.8% to 39.4%]; P < .001). Conclusions and Relevance: These findings suggest that implementing this computerized CDS system could lead to improved management of uncontrolled hypertension and potentially improved clinical outcomes at the population level for patients with CKD. Trial Registration: ClinicalTrials.gov Identifier: NCT03679247.

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.

Improved accuracy and efficiency of primary care fall risk screening of older adults using a machine learning approach.

BACKGROUND: While many falls are preventable, they remain a leading cause of injury and death in older adults. Primary care clinics largely rely on screening questionnaires to identify people at risk of falls. Limitations of standard fall risk screening questionnaires include suboptimal accuracy, missing data, and non-standard formats, which hinder early identification of risk and prevention of fall injury. We used machine learning methods to develop and evaluate electronic health record (EHR)-based tools to identify older adults at risk of fall-related injuries in a primary care population and compared this approach to standard fall screening questionnaires. METHODS: Using patient-level clinical data from an integrated healthcare system consisting of 16-member institutions, we conducted a case-control study to develop and evaluate prediction models for fall-related injuries in older adults. Questionnaire-derived prediction with three questions from a commonly used fall risk screening tool was evaluated. We then developed four temporal machine learning models using routinely available longitudinal EHR data to predict the future risk of fall injury. We also developed a fall injury-prevention clinical decision support (CDS) implementation prototype to link preventative interventions to patient-specific fall injury risk factors. RESULTS: Questionnaire-based risk screening achieved area under the receiver operating characteristic curve (AUC) up to 0.59 with 23% to 33% similarity for each pair of three fall injury screening questions. EHR-based machine learning risk screening showed significantly improved performance (best AUROC = 0.76), with similar prediction performance between 6-month and one-year prediction models. CONCLUSIONS: The current method of questionnaire-based fall risk screening of older adults is suboptimal with redundant items, inadequate precision, and no linkage to prevention. A machine learning fall injury prediction method can accurately predict risk with superior sensitivity while freeing up clinical time for initiating personalized fall prevention interventions. The developed algorithm and data science pipeline can impact routine primary care fall prevention practice.

Formal Ethics Consultation in Extracorporeal Membrane Oxygenation Patients: A Single-Center Retrospective Cohort of a Quaternary Pediatric Hospital.

OBJECTIVE: To examine characteristics associated with formal ethics consultation (EC) referral in pediatric extracorporeal membrane oxygenation (ECMO) cases, and document ethical issues presented. DESIGN: Retrospective cohort study using mixed methods. SETTING: Single-center quaternary pediatric hospital. PATIENTS: Patients supported on ECMO (January 2012 to December 2021). INTERVENTIONS: We compared clinical variables among ECMO patients according to the presence of EC. We defined optimal cutoffs for EC based on run duration, ICU length of stay (LOS), and sum of procedures or complications. To identify independent explanatory variables for EC, we used a forward stepwise selection multivariable logistic regression model. EC records were thematically characterized into ethical issues. MEASUREMENTS AND MAIN RESULTS: Of 601 ECMO patients and 225 patients with EC in 10 years, 27 ECMO patients received EC (4.5% of ECMO patients, 12% of all ECs). On univariate analysis, use of EC vs. not was associated with multiple ECMO runs, more complications/procedures, longer ICU LOS and ECMO duration, cardiac admissions, decannulation outcome, and higher mortality. Cutoffs for EC were ICU LOS >52 days, run duration >160 hours, and >6 complications/procedures. Independent associations with EC included these three cutoffs and older age. The model showed good discrimination (area under the curve 0.88 [0.83, 0.93]) and fit. The most common primary ethical issues were related to end-of-life, ECMO discontinuation, and treatment decision-making. Moral distress was cited in 22 of 27 cases (82%). CONCLUSION: EC was used in 4.5% of our pediatric ECMO cases, with most ethical issues related to end-of-life care or ECMO discontinuation. Older age, longer ICU LOS, prolonged runs, and multiple procedures/complications were associated with greater odds for EC requests. These data highlight our single-center experience of ECMO-associated ethical dilemmas. Historical referral patterns may guide a supported decision-making framework. Future work will need to include quality improvement projects for timely EC, with evaluation of impacts on relevant endpoints.

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.

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.

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.

What Went Right? A Mixed-Methods Study of Positive Feedback Data in a Hospital-Wide Mortality Review Survey.

BACKGROUND: Toxic work culture contributes to healthcare worker burnout and attrition, but little is known about how healthcare organizations can systematically create and promote a culture of civility and collegiality. OBJECTIVE: To analyze peer-to-peer positive feedback collected as part of a systematized mortality review survey to identify themes and recognition dynamics that can inform positive organizational culture change. DESIGN: Convergent mixed-methods study design. PARTICIPANTS: A total of 388 physicians, 212 registered nurses, 64 advanced practice providers, and 1 respiratory therapist at four non-profit hospitals (2 academic and 2 community). INTERVENTION: Providing optional positive feedback in the mortality review survey. MAIN MEASURES: Key themes and subthemes that emerged from positive feedback data, associations between key themes and positive feedback respondent characteristics, and recognition dynamics between positive feedback respondents and recipients. KEY RESULTS: Approximately 20% of healthcare workers provided positive feedback. Three key themes emerged among responses with free text comments: (1) providing extraordinary patient and family-centered care; (2) demonstrating self-possession and mastery; and (3) exhibiting empathic peer support and effective team collaboration. Compared to other specialties, most positive feedback from medicine (70.2%), neurology (65.2%), hospice and palliative medicine (64.3%), and surgery (58.8%) focused on providing extraordinary patient and family-centered care (p = 0.02), whereas emergency medicine (59.1%) comments predominantly focused on demonstrating self-possession and mastery (p = 0.06). Registered nurses (40.2%) provided multidirectional positive feedback more often than other clinician types in the hospital hierarchy (p < 0.001). CONCLUSIONS: Analysis of positive feedback from a mortality review survey provided meaningful insights into a health system's culture of teamwork and values related to civility and collegiality when providing end-of-life care. Systematic collection and sharing of positive feedback is feasible and has the potential to promote positive culture change and improve healthcare worker well-being.

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.

Intravenous Medication Administration Safety with Smart Infusion Pumps in the Neonatal Intensive Care Unit: An Observational Study.

INTRODUCTION: Infants in the neonatal intensive care unit (NICU) are among the most vulnerable patient populations and medication errors are a significant source of risk and harm to neonates. Smart infusion pumps have been implemented to support the safe medication administration process; however, the effect of using smart infusion pumps on medication safety in the NICU is still unclear. METHODS: We conducted an observational study with a prospective point-prevalence approach to investigate intravenous (IV) medication administration errors in the NICU at one academic medical center in the USA. Observations were conducted in 48 days in a 3-month data collection period in 2019. RESULTS: We observed a total of 441 patients with 905 IV medication administrations during the data collection period. The total number of errors was 130 (14.4 per 100 administrations). Of these, the most frequent errors were selecting the wrong drug library entry (5.3 per 100 administrations), unauthorized medication (0.7 per 100 administrations), and wrong dose (0.6 per 100 administrations). Sixty-eight errors (7.5 per 100 administrations) were unlikely to cause harm despite reaching the patient (category C errors), while the rest did not reach the patient. CONCLUSION: We identified the medication errors, which was unique to NICU populations, but no harm to the patients were identified. Most errors occurred due to a lack of compliance of using smart pump technology; therefore, potential exists to maximize safety related to medication administration practices in the NICU through hospital policy change and increasing adherence to appropriate use of smart pump technology.