Metaphor helps humans understand complex concepts by “mapping” them onto accessible concepts. The purpose of this study was to investigate the effects of using jazz as a metaphor to teach senior medical students improvisational communication skills, and to understand student learning experiences. The authors designed a month-long course that used jazz to teach improvisational communication. A sample of fourth-year medical students (N = 30) completed the course between 2011 and 2014. Evaluation consisted of quantitative and qualitative data collected pre- and post-course, with comparison to a concurrent control group on some measures. Measures included: (a) Student self-reports of knowledge and ability performing communicative tasks; (b) blinded standardized patient assessment of students’ adaptability and quality of listening; and (c) qualitative course evaluation data and open-ended interviews with course students. Compared to control students, course students demonstrated statistically significant and educationally meaningful gains in adaptability and listening behaviors. Students’ course experiences suggested that the jazz components led to high engagement and creativity, and provided a model to guide application of improvisational concepts to their own communication behaviors. Metaphor proved to be a powerful tool in this study, partly through enabling increased reflection and decreased resistance to behaviors that, on the surface, tended to run counter to generally accepted norms. The use of jazz as a metaphor to teach improvisational communication warrants further refinement and investigation.

Coronavirus disease 2019 (COVID-19) is an infectious disease that can develop multiple complications and even be life-threatening. The aim of this study is to summarize current evidence of C-reactive protein’s (CRP) predictive value for disease severity and survival of COVID-19 patients, focusing on curing patients and reducing the risk of death. We systematically searched related studies from four large databases: Web of Science, PubMed, China National Knowledge Infrastructure (CNKI), and Wanfang Database, all published between December 2019 and June 2021. Then, we implemented meta-analysis using random-effects models through STATA 15.1 and Review Manager 5.3. We also implemented sensitivity analysis and used funnel plots to check publication bias. From the systematic search of the four databases, we were able to identify 18 studies containing a total of 3052 patients. Meta-analysis results showed that 1) CRP levels were lower in non-severe patients than in severe patients (Standardized Mean Difference (SMD) = − 0.87 mg/L, 95% Confidence Interval (CI) = [ − 1.27, − 0.47], p < 0.001); 2) CRP levels were lower in non-intensive care unit (ICU) patients than in ICU patients (SMD = − 1.39 mg/L, 95% CI = [− 1.68, − 1.11], p < 0.001), and 3) CRP levels were lower in survivors than in non-survivors (SMD =− 1.32 mg/L, 95% CI = [− 1.95, − 0.69], p < 0.001). Sensitivity analysis showed these results were stable. Funnel plots indicated no publication bias. The CRP level may timely reflect disease severity and predict survival of COVID-19 patients and may be worthy of further popularization and application in clinic practice.

A sample of 175 veterans' scores on the Repeatable Battery for the Assessment of Neuropsychological Status (RBANS; Randolph, 1998 Randolph , C. ( 1998 ). Repeatable battery for the assessment of neuropsychological status: Manual . San Antonio , TX : The Psychological Corporation . [Google Scholar] ) was examined to investigate the factor structure of this scale. First, we attempted to replicate a five-factor model to reflect the five Index Scores of the RBANS (immediate memory, visuospatial/constructional, language, attention, and delayed memory) from the 12 individual subtests, using confirmatory factor analysis (CFA). We were unable to identify a five-factor structure of the RBANS. The RBANS subtests were then subjected to an exploratory factor analysis with a maximum likelihood extraction and orthogonal rotation to determine a new dimensional model. Results indicated a two-factor structure that can roughly be described as memory and visuospatial function. CFA of this new structure indicated an adequate fit for this sample. Findings suggest that it may be appropriate to place more emphasis on the individual subtest scores than the index scores during interpretation.

In a prospective longitudinal study with 218 Parkinson’s disease (PD) patients in the discovery cohort and 84 in the validation cohort, we aimed to identify novel blood biomarkers predicting disability milestones in PD. Through Least Absolute Shrinkage and Selection Operator-Cox (Lasso-Cox) regression, developed nomogram predictive model and Linear mixed-effects models, we identified low level of plasma fibronectin (pFN) as one of the best-performing risk markers in predicting disability milestones. A low level of pFN was associated with a short milestone-free survival period in PD. Longitudinal analysis showed an annual decline in the rate of pFN was significantly associated with the annual elevation rate in the Hoehn-Yahr stage. Moreover, pFN level was negatively correlated with phosphorylated α-synuclein, and a low level of pFN was associated with BBB disruption in the striatum on neuroimaging, providing evidence for pFN’s role in PD progression. We finally identified pFN as a novel blood biomarker that predicted first-milestone disability in PD.

In recent years, real-world studies (RWS) are gaining increasing interests, because they can generate more realistic and generalizable results than randomized controlled clinical trials (RCT). In 2017, we published a RCT in 741 early childhood care and education providers (CCPs). It is the Phase I of our iLookOut for Child Abuse project (iLookOut), an online, interactive learning module about reporting suspected child maltreatment. That study demonstrated that in a RCT setting, the iLookOut is efficient at improving CCPs’ knowledge of and attitudes towards child maltreatment reporting. However, the generalizability of that RCT’s results in a RWS setting remains unknown. To address this question, we design and conduct this large RWS in 11,065 CCPs, which is the Phase II of the iLookOut. We hypothesize replication of the earlier RCT findings, i.e., the iLookOut can improve CCPs’ knowledge of and attitudes toward child maltreatment reporting in a real world setting. In addition, this RWS also explores whether demographic factors affect CCPs’ performance. Results of this RWS confirmed the generalizability of the previous RCT’s results in a real world setting. It yielded similar effect sizes for knowledge and attitudes as were found in the earlier RCT. Cohen’s d for knowledge improvement was 0.95 in that RCT, 0.96 in this RWS; Cohen’s d for attitude improvement was 0.98 in that RCT, 0.80 in this RWS. Also, we found several significant differences in knowledge and attitude improvement with regard to age, race, education, and employment status. In conclusion, iLookOut improves knowledge and attitudes of CCPs about child maltreatment prevention and reporting in a real-world setting. The generalizability of the initial RCT findings to this RWS provides strong evidence that the iLookout will be effective in other real world settings. It can be a useful model for other interventions aimed at preventing child maltreatment. Clinical trial registration for the original RCT: NCT02225301 (ClinicalTrials.gov Identifier)

Suicide remains the 10th leading cause of death in the United States. Many patients presenting to healthcare settings with suicide risk are not identified and their risk mitigated during routine care. Our aim is to describe the planned methodology for studying the implementation of the Zero Suicide framework, a systems-based model designed to improve suicide risk detection and treatment, within a large healthcare system. We planned to use a stepped wedge design to roll-out the Zero Suicide framework over 4 years with a total of 39 clinical units, spanning emergency department, inpatient, and outpatient settings, involving ∼310,000 patients. We used Lean, a widely adopted a continuous quality improvement (CQI) model, to implement improvements using a centralize “hub” working with smaller “spoke” teams comprising CQI personnel, unit managers, and frontline staff. Over the course of the study, five major disruptions impacted our research methods, including a change in The Joint Commission's safety standards for suicide risk mitigation yielding massive system-wide changes and the COVID-19 pandemic. What had been an ambitious program at onset became increasingly challenging because of the disruptions, requiring significant adaptations to our implementation approach and our study methods. Real-life obstacles interfered markedly with our plans. While we were ultimately successful in implementing Zero Suicide, these obstacles led to adaptations to our approach and timeline and required substantial changes in our study methodology. Future studies of quality improvement efforts that cut across multiple units and settings within a given health system should avoid using a stepped-wedge design with randomization at the unit level if there is the potential for sentinel, system-wide events.