HEAL Network

Abstract

Emergency departments face unforeseen surges in patients classified as low acuity during pandemics such as the coronavirus disease pandemic. Streamlining patient flow using telemedicine in an alternative care area can reduce crowding and promote physical distancing between patients and clinicians, thus limiting personal protective equipment use. This quality improvement project describes critical elements and processes in the operationalization of a telemedicine-enabled drive-through and walk-in garage care system to improve ED throughput and conserve personal protective equipment during 3 coronavirus disease surges in 2020.Standardized workflows were established for the operationalization of the telemedicine-enabled drive-through and walk-in garage care system for patients presenting with respiratory illness as quality improvement during disaster. Statistical control charts present interrupted time series data on the ED length of stay and personal protective equipment use in the week before and after deployment in March, July, and November 2020.Physical space, technology infrastructure, equipment, and staff workflows were critical to the operationalization of the telemedicine-enabled drive-through and walk-in garage care system. On average, the ED length of stay decreased 17%, from 4.24 hours during the week before opening to 3.54 hours during the telemedicine-enabled drive-through and walk-in garage care system operation. There was an estimated 25% to 41% reduction in personal protective equipment use during this time.Lessons learned from this telemedicine-enabled alternative care area implementation can be used for disaster preparedness and management in the ED setting to reduce crowding, improve throughput, and conserve personal protective equipment during a pandemic.

View details for DOI 10.1016/j.jen.2021.05.010

View details for Web of Science ID 000762175400001

View details for PubMedID 34303530

View details for PubMedCentralID PMC8173460

Abstract

The US physician workforce does not represent the racial or ethnic diversity of the population it serves.To assess whether the proportion of US physician trainees of Black race and Hispanic ethnicity has changed over time and then provide a conceptual projection of future trends.Cross-sectional, retrospective, analysis based on 11 years of publicly available data paired with recent US census population estimates.A total of 86,303 (2007-2008) to 103,539 (2017-2018) resident physicians in the 20 largest US Accreditation Council for Graduate Medical Education resident specialties.Changes in proportion of physician trainees of Black race and Hispanic ethnicity per academic year. Projected number of years it will then take, for specialties with positive changes, to reach proportions of Black race and Hispanic ethnicity comparable to that of the US population.Among the 20 largest specialty training programs, Radiology was the only specialty with a statistically significant increase in the proportion of Black trainees, but it could take Radiology 77 years to reach levels of Black representation comparable to that of the US population. Obstetrics/Gynecology, Emergency Medicine, Internal Medicine/Pediatrics, and Orthopedic Surgery demonstrated a statistically significant increase in the proportion of Hispanic trainees, but it could take these specialties 35, 54, 61, and 93 years respectively to achieve Hispanic representation comparable to that of the US population.Among US residents in the 20 largest specialties, no specialty represented either the Black or Hispanic populations in proportions comparable to the overall US population. Only a small number of specialties demonstrated statistically significant increases. This conceptual projection suggests that current efforts to promote diversity are insufficient.

View details for DOI 10.1007/s11606-021-06650-7

View details for PubMedID 33629264

Abstract

To investigate whether selected carotid computed tomography angiography (CTA) quantitative features can predict 10-year atherosclerotic cardiovascular disease (ASCVD) risk scores.One hundred seventeen patients with calculated ASCVD risk scores were considered. A semiautomated imaging analysis software was used to segment and quantify plaque features. Eighty patients were randomly selected to build models using 14 imaging variables and the calculated ASCVD risk score as the end point (continuous and binarized). The remaining 37 patients were used as the test set to generate predicted ASCVD scores. The predicted and observed ASCVD risk scores were compared to assess properties of the predictive model.Nine of 14 CTA imaging variables were included in a model that considered the plaque features in a continuous fashion (model 1) and 6 in a model that considered the plaque features dichotomized (model 2). The predicted ASCVD risk scores were 18.87% ± 13.26% and 18.39% ± 11.6%, respectively. There were strong correlations between the observed ASCVD and the predicted ASCVDs, with r = 0.736 for model 1 and r = 0.657 for model 2. The mean biases between observed ASCVD and predicted ASCVDs were -1.954% ± 10.88% and -1.466% ± 12.04%, respectively.Selected quantitative imaging carotid features extracted from the semiautomated carotid artery analysis can predict the ASCVD risk scores.

View details for PubMedID 31082951

View details for Web of Science ID 000781026602247

Abstract

[This corrects the article DOI: 10.1016/j.ajpc.2021.100147.].

View details for DOI 10.1016/j.ajpc.2021.100302

View details for PubMedID 35399739

Abstract

Importance: Patient safety reporting systems (PSRSs) are designed to decrease the risk of harm to patients due to medical errors. Owing to the voluntary nature of PSRSs, implicit bias of the reporter may affect the management of safety events reported. Stanford Alert For Events (SAFE) is the PSRS used at Stanford Health Care.Objective: To examine whether variation exists in the content of SAFE reports based on demographic characteristics of physicians who are the subject of the event report.Design, Setting, and Participants: This retrospective qualitative analysis from a single academic medical center evaluated SAFE reports from March 2011 to February 2020. Event reports were coded by theme and categorized by severity (scale of 1 to 3, with 1 being the lowest and 3 the highest). The reports were then analyzed from October 2020 to February 2022 and categorized by physician gender, race and ethnicity, and faculty rank. A total of 501 patient safety events were collected from the adult hospital during the study period, and 100 were excluded owing to incompleteness of information.Main Outcomes and Measures: This qualitative study had no planned outcome.Results: A qualitative analysis was performed on 401 reports representing 187 physicians (138 [73.8%] male and 49 [26.2%] female). In terms of race and ethnicity, 4 physicians (2.1%) were African American, 49 (26.2%) were Asian; 7 (3.7%), Hispanic or Latinx; 108 (57.7%), White; and 19 (10.2%), declined to state. Female physicians had disproportionate representation among reports referencing communication and conversational issues and the lowest severity level. Male physicians had disproportionate representation for ignoring or omitting procedures, process issues, and physical intimidation. African American physicians had disproportionate representation for lack of communication and process issues. Asian physicians had disproportionate representation for lack of communication, process issues, conversational conduct, and the lowest severity level. Latinx physicians had disproportionate representation for conversational conduct. White physicians had disproportionate representation for ignoring or omitting procedures, verbal abuse, physical intimidation, and the highest severity level.Conclusions and Relevance: In this qualitative study, female physicians and physicians who were members of racial and ethnic minority groups were more likely to be reported for low-severity communication issues compared with their male and White counterparts, respectively. These findings suggest that there may be a lower threshold for reporting events when the subject of the report is female and/or a member of a racial or ethnic minority group. Restructuring the reporting and management of patient safety events may be needed to facilitate conflict resolution in a manner that reduces implicit bias and fosters team cohesion.

View details for DOI 10.1001/jamanetworkopen.2022.13234

View details for PubMedID 35594045

Abstract

OBJECTIVES: Despite evidence of the central importance of communication to patient experience, health outcomes, and provider wellness, communication training for clinicians is not a standard part of clinical education. The study explores the impact of an 8-hour relationship-centered communication (RCC) training program on patient experience and provider wellness.METHODS: 636 healthcare providers participated in 48 workshops conducted January-August 2018. 481 (76%) agreed to participate in research. Participants completed a pre/post assessment that included a wellness survey, the Professional Fulfillment Index (PFI). We conducted chi-squared analyses comparing wellness data immediately prior to the course to 3 months following course participation. Patient experience, assessed using Press Ganey likelihood to recommend care provider (PG-LTR CP) scores, were examined prior to an individual's course participation and following participation up to September 2019.RESULTS: 104 participants completed the three-month PFI (22% response rate). Participants demonstrated marked improvements in professional wellness after 3 months. In bivariate analyses, PG-LTRCP significantly increased and persisted more than 7 months following program completion.CONCLUSIONS: The RCC training program, a low-cost communication intervention, led to significant, beneficial changes in provider wellness and patient experience.PRACTICE IMPLICATIONS: Implementing a RCC course for providers may improve patient experience and provider wellness.

View details for DOI 10.1016/j.pec.2021.10.025

View details for PubMedID 34772532

Abstract

Women physicians and those from racial and ethnic groups underrepresented in medicine face unique barriers to career advancement in academic medicine, especially in specialties that lack diversity such as radiology. One such barrier is the effect of unconscious bias on the ability of faculty from these groups to find effective sponsors. Given the central role of sponsorship in career advancement, departments are called upon to implement formal sponsorship programs to address inequities stemming from bias.

View details for DOI 10.2214/AJR.21.26481

View details for PubMedID 34467782

Abstract

BACKGROUND: Faculty diversity is a high-priority goal for academic emergency medicine. Most administrators currently monitor faculty diversity using aggregate data, which may obscure underrepresentation by rank. We apply the Rank Equity Index (REI), to EM faculty data to assess rank progression.METHODS: We calculated the REI (% faculty cohort higher rank / % faculty cohort lower rank) for EM faculty. We performed REI analyses by faculty gender (women, men) and race/ethnicity (white, Black, Hispanic/Latinx, Asian). We compared: Professor/ Assistant Professor, Professor/ Associate Professor, and Associate Professor/ Assistant Professor to establish rank parity for gender and race/ethnicity. Parity is an REI of 1.0.RESULTS: REI analysis by gender demonstrates that women faculty did not achieve parity at any rank comparison in any study year. REI analysis by race/ethnicity demonstrates that all faculty of color are below parity at the assistant to associate professor promotion. Latinx faculty are at parity for associate professor to professor, but Asian and Black faculty do not achieve parity in any comparison. Intersecting gender and race/ethnicity in the REI analysis demonstrates that Asian women have the lowest REIs among all faculty ranks and races/ethnicities. Men of all races/ethnicities achieved parity in two of three rank comparisons, except for Black men, who did not achieve parity in any comparison.CONCLUSIONS: REI analysis demonstrates EM women faculty and faculty of color are not achieving rank parity and are disadvantaged at the first tier of promotion. A preliminary longitudinal trend analysis suggests little progress. Asian women and Black men experience the most rank inequity. REI analysis identifies a need for focused faculty development to enhance our most vulnerable faculty's rank progression, suggesting that targeted recruitment and retention efforts of women faculty of all races/ethnicities and faculty of color, in particular, will improve diversity at every tier of faculty rank.

View details for DOI 10.1111/acem.14268

View details for PubMedID 33909327

Abstract

BACKGROUND: Patient-reported satisfaction scores, including the Press Ganey surveys, are increasingly used as measures for quality healthcare among surgical subspecialties. However, the influence of surgeon sociodemographics is not clear.METHODS: This cross-sectional study analyzed Press Ganey surveys linked to outpatient surgical visits at a single academic institution from January 2015 to December 2018 as they related to surgeon age, gender, and race. The primary outcome variable was achievement of a top-box score (5/5) on likelihood to recommend surgeon queries. Secondary analysis examined the relationship of likelihood to recommend surgeon to other survey questions, such as those regarding surgeon courtesy, concern, understandability, patient inclusion in medical decision making, and patient confidence in surgeon. chi2 tests and generalized estimating equation regression models were run to assess correlation.RESULTS: In bivariate analysis of 36,840 surveys, non-Hispanic white surgeons were more likely to receive likelihood to recommend surgeon top-box ratings than Asian (P < .001) or underrepresented minority surgeons (P < .001). Additionally, male gender (P < .01) and older surgeon age (P < .001) were associated with higher top-box scores. However, in multivariate generalized estimating equation analysis, the effect of age was no longer significant, but female gender continued to be associated with lower odds of top-box likelihood to recommend surgeon ratings (odds ratio 0.83; 95% confidence interval, 0.70%-0.99%), as did Asian compared with white race (odds ratio 0.78; 95% confidence interval, 0.65%-0.95%). Likelihood to recommend surgeon scores correlated most closely with patients' "confidence" in the surgeon rather than measures of courtesy, concern, understandability, or inclusion in medical decision making.CONCLUSION: Top-box scores varied by surgeon race and gender in correlation with patients' perceived confidence in the provider. Interpretation of Press Ganey scores should account for potential bias in patient satisfaction surveys based on surgeon demographics.

View details for DOI 10.1016/j.surg.2020.12.006

View details for PubMedID 33531133