Physician behaviors associated with increased physician and nurse communication during bedside interdisciplinary rounds.

BACKGROUND: Effective team communication during interdisciplinary rounds (IDRs) is a hallmark of safe, efficient, patient-centered care. However, there is limited understanding of optimal IDR structures and procedures. OBJECTIVE: This study aimed to analyze direct observations of physician and nurse interactions during bedside IDR to identify behaviors associated with increased interprofessional communication. DESIGNS, SETTINGS AND PARTICIPANTS: Trained observers audited general medicine ward rounds at an academic medical center using a standardized tool to record physician and nurse behavior and communication in 1007 patient encounters in October 2019 to March 2020. RESULTS: There were significant differences in physician and nurse interaction time among physicians with different levels of training, with attendings demonstrating higher interaction time than residents (5.4 ± 4.6 vs. 4.3 ± 3.7 min, p = .02) and interns or medical students (3.0 ± 3.2 min, p = .002). Attendings were more likely to initiate a conversation about nurse concerns (76.9%) compared to residents (67.9%) and interns or medical students (59.3%, p = .03). Early nurse participation in bedside visits was associated with increased physician and nurse interaction time (5.0 ± 4.6 vs. 1.9 ± 1.7 min, p < .001) and physician initiative to ask about nurse concerns (74.8% vs. 64.3%, p = .04). In addition, physician initiative to ask the nurse for concerns rather than waiting for the nurse to offer concerns without being prompted was associated with a subsequent conversation about those concerns (74.5% vs. 61.8%, p < .001) and the physician asking about patient or family concerns (94.2% vs. 88.4%, p = .01). CONCLUSIONS: Implementing IDR structures and procedures that promote attending physician involvement, physician initiative, and early nurse participation could optimize interdisciplinary communication and quality of care.

A Prospective Observational Study Assessing the Impacts of Health Literacy and Psychosocial Determinants of Health on 30-day Readmission Risk.

Our objective was to assess the utility of an assessment battery capturing health literacy (HL) and biopsychosocial determinants of health in predicting 30-day readmission in comparison to a currently well-adopted readmission risk calculator. We also sought to capture the distribution of inpatient HL, with emphasis on inadequate and marginal HL (an intermediate HL level). A prospective observational study was conducted to obtain HL and biopsychosocial data on general medicine inpatients admitted to the UCLA health system. Five hundred thirty-seven subjects were tracked prospectively for 30-day readmission after index hospitalization. HL was significantly better at predicting readmission compared to LACE + (Length, admission acuity, comorbidities, emergency room visits) alone (P = .013). A multivariate model including education, insurance, and language comfort was a strong predictor of adequate HL (P < .001). In conclusion, HL offered significant improvement in risk stratification in comparison to LACE + alone. Patients with marginal HL were high-risk, albeit difficult to characterize. Incorporating robust HL and biopsychosocial determinant assessments may allow hospital systems to allocate educational resources towards at-risk patients, thereby mitigating readmission risk.

Estimated Reductions in Added Sugar Intake among US Children and Youth in Response to Sugar Reduction Targets.

BACKGROUND: In 2021, the National Salt and Sugar Reduction Initiative (NSSRI) released voluntary sugar reduction targets for packaged foods and drinks in the United States. OBJECTIVE: The objectives of this study were to describe trends in added sugar intake from NSSRI foods and beverages among children and youth and estimate possible reductions if industry were to meet the targets. DESIGN: This study consisted of cross-sectional and trend analyses of demographic and 24-hour dietary recall data from eight survey cycles (2003-2004 to 2017-2018) of the National Health and Nutrition Examination Survey. PARTICIPANTS/SETTING: The study sample included 23,248 children and youth (aged 2 to 19 years). MAIN OUTCOME MEASURES: The main outcome measure was the percent of daily calories from added sugar for foods and beverages in NSSRI categories. STATISTICAL ANALYSES PERFORMED: Foods and beverages reported by participants were mapped to one of the NSSRI's categories or coded as a non-NSSRI item. Trends over time in added sugar intake were assessed using regression models. To assess possible reductions in added sugar intake if industry were to meet the targets, sales-weighted mean percent reductions for 2023 and 2026 targets were applied to NSSRI items in the 2017-2018 National Health and Nutrition Examination Suvey data. Results were examined overall and by demographic characteristics. RESULTS: From 2003-2004 to 2017-2018, added sugar intake from NSSRI foods and beverages declined, but consumption remained high. During 2017-2018, NSSRI categories accounted for 70% of US child and youth added sugar intake. If industry met the NSSRI targets, US children and youth would consume 7% (2023 targets) to 21% (2026 targets) less added sugar. CONCLUSIONS: Although added sugar intake from NSSRI foods and drinks has declined over the past decade, added sugar intake from all sources remains high and consumption of added sugar from certain NSSRI categories has remained steady over time. If met, the NSSRI targets are expected to result in meaningful reductions in added sugar intake for US children and youth.

US Food Industry Progress Toward Salt Reduction, 2009-2018.

Objectives. To determine the extent to which reductions in sodium during the National Salt Reduction Initiative (NSRI) target-setting period (2009-2014) continued after 2014. Methods. We used the NSRI Packaged Food Database, which links products in the top 80% of US packaged food sales to nutrition information, to assess the proportion of products meeting the NSRI targets and the sales-weighted mean sodium density (mg/100 g) of 54 packaged food categories between 2009 and 2018. Results. There was an 8.5% sales-weighted mean reduction in sodium between 2009 and 2018. Most change occurred between 2009 and 2012, with little change in subsequent years. The proportion of packaged foods meeting the 2012 and 2014 targets increased 48% and 45%, respectively, from 2009 to 2012, with no additional improvements through 2018. Conclusions. Food manufacturers reduced sodium in the early years of the NSRI, but progress slowed after 2012. Public Health Implications. The US Food and Drug Administration just released 2.5-year voluntary sodium targets for packaged and restaurant food. Continued assessment of industry progress and further target setting by the Food and Drug Administration is crucial to reducing sodium in the food supply.

Non-magnitude sources of bias on duration judgements for blank intervals: conceptual relatedness of interval markers reduces subjective interval duration.

We report three experiments in which the events flanking a temporal interval were either related or unrelated, based on overlap in the letter identity of single letters (Experiment 1), in the conceptual congruency of color words and colored rectangles (Experiment 2), or in the conceptual congruency of sentence stems and their terminal words (Experiment 3). In all cases, we observed a bias for participants to judge the duration of temporal intervals as shorter when the flanking events were related. We draw an analogy between these temporal judgement distortions and those reported elsewhere (Alards-Tomalin et al. in J Exp Psychol Learn Mem Cogn 40(2):555-566, 2014) that revealed that the similarity in the relative magnitude of flanking events generate the same type of bias on duration judgements. The observation that non-magnitude dimensions of relatedness between flanking events can also bias duration judgements raise questions about the applicability of two influential theoretical frameworks for understanding the distorting effects that non-temporal stimulus dimensions can have on duration judgments, A Theory of Magnitude (Buetl and Walsh in Philos Trans R Soc B Biol Sci 12:1831-1840, 2009, Walsh in Trends Cogn Sci 7:483-488, 2003) and the Conceptual Metaphor Theory (e.g., Lakoff and Johnson in Philosophy in the flesh: the embodied mind and its challenge to western thought. Basic Books, New York, 1999). In our general discussion, we consider a number of alternative frameworks that may account for these findings.

Health Impact and Cost-Effectiveness of Achieving the National Salt and Sugar Reduction Initiative Voluntary Sugar Reduction Targets in the United States: A Microsimulation Study.

BACKGROUND: High intake of added sugar is linked to weight gain and cardiometabolic risk. In 2018, the US National Salt and Sugar Reduction Initiative proposed government-supported voluntary national sugar reduction targets. This intervention's potential effects and cost-effectiveness are unclear. METHODS: A validated microsimulation model, CVD-PREDICT (Cardiovascular Disease Policy Model for Risk, Events, Detection, Interventions, Costs, and Trends), coded in C++, was used to estimate incremental changes in type 2 diabetes, cardiovascular disease (CVD), quality-adjusted life-years (QALYs), costs, and cost-effectiveness of the US National Salt and Sugar Reduction Initiative policy. The model was run at the individual level, incorporating the annual probability of each person's transition between health statuses on the basis of risk factors. The model incorporated national demographic and dietary data from the National Health and Nutrition Examination Survey across 3 cycles (2011 through 2016), added sugar-related diseases from meta-analyses, and policy costs and health-related costs from established sources. A simulated nationally representative US population was created and followed until age 100 years or death, with 2019 as the year of intervention start. Findings were evaluated over 10 years and a lifetime from health care and societal perspectives. Uncertainty was evaluated in a 1-way analysis by assuming 50% industry compliance and probabilistic sensitivity analyses through a second-order Monte Carlo approach. Model outputs included averted diabetes cases, CVD events and CVD deaths, QALYs gained, and formal health care cost savings, stratified by age, race, income, and education. RESULTS: Achieving the US National Salt and Sugar Reduction Initiative sugar reduction targets could prevent 2.48 million CVD events, 0.49 million CVD deaths, and 0.75 million diabetes cases; gain 6.67 million QALYs; and save $160.88 billion net costs from a societal perspective over a lifetime. The policy became cost-effective (<150 000/QALYs) at 6 years, highly cost-effective (<50 000/QALYs) at 7 years, and cost-saving at 9 years. Results were robust from a health care perspective, with lower (50%) industry compliance, and in probabilistic sensitivity analyses. The policy could also reduce disparities, with greatest estimated health gains per million adults among Black or Hispanic individuals, lower income, and less educated Americans. CONCLUSIONS: Implementing and achieving the US National Salt and Sugar Reduction Initiative sugar reformation targets could generate substantial health gains, equity gains, and cost savings.

Disparities in Sugary Drink Advertising on New York City Streets.

INTRODUCTION: Studies show that outdoor advertisements for unhealthy, consumable products are associated with increased intake and often target youth, low-income neighborhoods, and neighborhoods of color. Despite evidence that overconsumption of sugary drinks contributes to obesity and other chronic conditions, little is known specifically regarding the patterns of outdoor sugary drink advertising. METHODS: The number of outdoor, street-level advertisements featuring sugary drinks was assessed in a random sample of retail-dense street segments (N=953) in low, medium, and high-poverty neighborhoods in each of New York City's 5 boroughs in 2015. Negative binomial regression was used to determine associations between sugary drink ad density, poverty level, and other census tract-level demographics (2009-2013 estimates) in each borough and New York City overall. Data were analyzed in 2017-2019. RESULTS: In New York City and in 3 of 5 boroughs, sugary drink ad density was positively associated with increased percentages of black, non-Latino residents (New York City: incidence rate ratio=1.20, p<0.001; Bronx: incidence rate ratio=1.30, p=0.005; Brooklyn: incidence rate ratio=1.18, p<0.001; Manhattan: incidence rate ratio=1.20, p<0.05). Positive associations were also observed with poverty level in Brooklyn (low versus medium poverty: incidence rate ratio=2.16, p=0.09; low versus high poverty: incidence rate ratio=2.17, p=0.02) and Staten Island (low versus medium poverty: incidence rate ratio=3.27, p=0.03). CONCLUSIONS: This study found a consistent positive association between the density of outdoor sugary drink advertisements and the presence of non-Latino black residents in New York City and, in some boroughs, evidence of a positive association with neighborhood poverty. These findings highlight the inequities where sugary drinks are advertised in New York City.

Prognostication Accuracy, Confidence, and Decisional Conflict Across Training Levels of Internal Medicine Providers.

CONTEXT: Providing patient care at the end of a patient's life is a humbling and sacred experience for both patient and provider. Without a truthful and meaningful conversation about end-of-life care preferences, the care that is delivered may not be the care that the patient prefers. OBJECTIVES: Determine if there is a relationship between level of training, confidence, and presence of decisional conflict in making an accurate prognosis for 2 standardized cases. Additionally, we evaluated the correctness of the prognosis as measured against survival outcomes for patients with similar diagnoses. METHODS: Decisional conflict was measured with the SURE tool, a validated 4-item tool that has been used in assessing for the presence of decisional conflict. RESULTS: Following analysis of data, it was found that providers with no decisional conflict were much more likely to be attendings with more than 5 years' experience. Providers were more conflicted overall when confronted with a case with a more grave prognosis. It was determined that providers with a lower level of training were more likely to have decisional conflict. CONCLUSIONS: Provider confidence increases and decisional conflict decreases as one increases their level of training. However, the degree in which the provider is correct in their prognosis does not change as one increases their level of training. These findings have broad implications on patients, providers, and the health-care system.

Clinicians can independently predict 30-day hospital readmissions as well as the LACE index.

BACKGROUND: Significant effort has been directed at developing prediction tools to identify patients at high risk of unplanned hospital readmission, but it is unclear what these tools add to clinicians' judgment. In our study, we assess clinicians' abilities to independently predict 30-day hospital readmissions, and we compare their abilities with a common prediction tool, the LACE index. METHODS: Over a period of 50 days, we asked attendings, residents, and nurses to predict the likelihood of 30-day hospital readmission on a scale of 0-100% for 359 patients discharged from a General Medicine Service. For readmitted versus non-readmitted patients, we compared the mean and standard deviation of the clinician predictions and the LACE index. We compared receiver operating characteristic (ROC) curves for clinician predictions and for the LACE index. RESULTS: For readmitted versus non-readmitted patients, attendings predicted a risk of 48.1% versus 31.1% (p < 0.001), residents predicted 45.5% versus 34.6% (p 0.002), and nurses predicted 40.2% versus 30.6% (p 0.011), respectively. The LACE index for readmitted patients was 11.3, versus 10.1 for non-readmitted patients (p 0.003). The area under the curve (AUC) derived from the ROC curves was 0.689 for attendings, 0.641 for residents, 0.628 for nurses, and 0.620 for the LACE index. Logistic regression analysis suggested that the LACE index only added predictive value to resident predictions, but not attending or nurse predictions (p < 0.05). CONCLUSIONS: Attendings, residents, and nurses were able to independently predict readmissions as well as the LACE index. Improvements in prediction tools are still needed to effectively predict hospital readmissions.