Educational Strategies in Pediatric Trauma Resuscitation Across Disciplines: A Scoping Review.

INTRODUCTION: Trauma is the leading cause of death and disability in children. Differences in mechanism, injury pattern, severity, and physiology in this population distinguish pediatric trauma patients from adults. Educational techniques including simulation and didactics may improve pediatric readiness in this setting. We summarize the literature across disciplines, highlighting the curricular approaches, target provider population, educational content, content delivery method, and Kirkpatrick level for pediatric trauma resuscitation education. METHODS: The MEDLINE (via Ovid), Embase (via Elsevier), Cumulative Index to Nursing & Allied Health Literature Complete (via EBSCO), Education Database (via ProQuest), and Web of Science Social Science Citation Index and Science Citation Index (via Clarivate) were searched. We reviewed 90 manuscripts describing pediatric trauma resuscitation education programs. When available, target provider population, curricular content, delivery method, and Kirkpatrick level were obtained. RESULTS: Nurses (50%), residents (45%), and attending physicians (43%) were the most common participants. Airway management (25%), shock (25%), and general trauma (25%) were the most frequently taught concepts, and delivery of content was more frequently via simulation (65%) or didactics (52%). Most studies (39%) were Kirkpatrick Level 1. CONCLUSIONS: This review suggests that diverse strategies exist to promote pediatric readiness. Most training programs are interdisciplinary and use a variety of educational techniques. However, studies infrequently report examining the impact of educational interventions on patient-centered outcomes and lack detail in describing their curriculum. Future educational efforts would benefit from heightened attention to such outcome measures and a rigorous description of their curricula to allow for reproducibility.

Where Are the Children? A Thematic Analysis of State, Territory, and Tribal Organization Comprehensive Cancer Control Plans.

BACKGROUND: The Center for Disease Control's Comprehensive Cancer Control Program (CCCP) funds initiatives in fifty states, the District of Columbia, seven U.S. territories, and seven tribal organizations to prevent and control cancer. These initiatives influence policy, care, research, and advocacy for cancer treatment. We performed an analysis of CCCP plans for states, U.S. territories, and tribal organizations to understand the extent of inclusion of pediatric cancer care. METHODS: We conducted a thematic and quantitative analysis of CCCP plans for states, U.S. territories, and tribal organizations. Plans were assessed by two reviewers and scored for discussion of cancer prevention, risk factors, early detection and screening, treatment and innovation, access, barriers to care, and survivorship in childhood cancer. RESULTS: Plans from fifty states, the District of Columbia, seven territories, seven tribal organizations, and one Pacific Regional (USAPI) plan were reviewed, for a total of sixty-six plans. Up-to-date CCCP plans were available through the CDC or state websites for 74% of states, 57% of territories, and 71% of tribal organizations; older plans were available for all groups without up-to-date CCCP plans. While all plans referenced children, most did so in the context of childhood exposures influencing adult cancer risks (e.g., sun, tobacco, HPV). Few plans contained a section dedicated to childhood cancer (30% states, 14.3% territories, 14.3% tribes). A minority of plans specifically discussed early detection and screening (14% states, 0% territories, 14.3% tribes), treatment and innovation (32% states, 0% territories, 28.6% tribes), access to cancer care (38% states, 28.6% territories, 28.6% tribes), reducing barriers to cancer care (28% states, 42.9% territories, 28.6% tribes), and pediatric cancer survivorship (42% states, 0% territories, 28.6% tribes). CONCLUSIONS: Promoting inclusion of pediatric cancer in CCPs will help to standardize pediatric cancer care, eliminate treatment disparities across state lines, and allow for comprehensive understanding of pediatric oncology. LEVEL OF EVIDENCE: Level IV.

Characteristics of non-sleep related apneas in children with alternating hemiplegia of childhood.

BACKGROUND: Non-sleep related apnea (NSA) has been observed in alternating hemiplegia of childhood (AHC) but has yet to be characterized. GOALS: Investigate the following hypotheses: 1) AHC patients manifest NSA that is often severe. 2) NSA is usually triggered by precipitating events. 3) NSA is more likely in patients with ATP1A3 mutations. METHODS: Retrospective review of 51 consecutive AHC patients (ages 2-45 years) enrolled in our AHC registry. NSAs were classified as mild (not needing intervention), moderate (needing intervention but not perceived as life threatening), or severe (needing intervention and perceived as life threatening). RESULTS: 19/51 patients (37 %) had 52 NSA events (6 mild, 11 moderate, 35 severe). Mean age of onset of NSA (± Standard Error of the Mean (SEM)): 3.8 ± 1.5 (range 0-24) years, frequency during follow up was higher at younger ages as compared to adulthood (year 1: 2.2/year, adulthood: 0.060/year). NSAs were associated with triggering factors, bradycardia and with younger age (p < 0.008 in all) but not with mutation status (p = 0.360). Triggers, observed in 17 patients, most commonly included epileptic seizures in 9 (47 %), anesthesia, AHC spells and intercurrent, stressful, conditions. Management included use of pulse oximeter at home in nine patients, home oxygen in seven, intubation/ventilatory support in seven, and basic CPR in six. An additional patient required tracheostomy. There were no deaths or permanent sequalae. CONCLUSIONS: AHC patients experience NSAs that are often severe. These events are usually triggered by seizures or other stressful events and can be successfully managed with interventions tailored to the severity of the NSA.

Examining Linguistic Differences in Electronic Health Records for Diverse Patients With Diabetes: Natural Language Processing Analysis.

Background: Individuals from minoritized racial and ethnic backgrounds experience pernicious and pervasive health disparities that have emerged, in part, from clinician bias. Objective: We used a natural language processing approach to examine whether linguistic markers in electronic health record (EHR) notes differ based on the race and ethnicity of the patient. To validate this methodological approach, we also assessed the extent to which clinicians perceive linguistic markers to be indicative of bias. Methods: In this cross-sectional study, we extracted EHR notes for patients who were aged 18 years or older; had more than 5 years of diabetes diagnosis codes; and received care between 2006 and 2014 from family physicians, general internists, or endocrinologists practicing in an urban, academic network of clinics. The race and ethnicity of patients were defined as White non-Hispanic, Black non-Hispanic, or Hispanic or Latino. We hypothesized that Sentiment Analysis and Social Cognition Engine (SEANCE) components (ie, negative adjectives, positive adjectives, joy words, fear and disgust words, politics words, respect words, trust verbs, and well-being words) and mean word count would be indicators of bias if racial differences emerged. We performed linear mixed effects analyses to examine the relationship between the outcomes of interest (the SEANCE components and word count) and patient race and ethnicity, controlling for patient age. To validate this approach, we asked clinicians to indicate the extent to which they thought variation in the use of SEANCE language domains for different racial and ethnic groups was reflective of bias in EHR notes. Results: We examined EHR notes (n=12,905) of Black non-Hispanic, White non-Hispanic, and Hispanic or Latino patients (n=1562), who were seen by 281 physicians. A total of 27 clinicians participated in the validation study. In terms of bias, participants rated negative adjectives as 8.63 (SD 2.06), fear and disgust words as 8.11 (SD 2.15), and positive adjectives as 7.93 (SD 2.46) on a scale of 1 to 10, with 10 being extremely indicative of bias. Notes for Black non-Hispanic patients contained significantly more negative adjectives (coefficient 0.07, SE 0.02) and significantly more fear and disgust words (coefficient 0.007, SE 0.002) than those for White non-Hispanic patients. The notes for Hispanic or Latino patients included significantly fewer positive adjectives (coefficient -0.02, SE 0.007), trust verbs (coefficient -0.009, SE 0.004), and joy words (coefficient -0.03, SE 0.01) than those for White non-Hispanic patients. Conclusions: This approach may enable physicians and researchers to identify and mitigate bias in medical interactions, with the goal of reducing health disparities stemming from bias.

Characterization of sedation and anesthesia complications in patients with alternating hemiplegia of childhood.

BACKGROUND: Alternating hemiplegia of childhood (AHC) pathophysiology suggests predisposition to sedation and anesthesia complications. GOALS: Hypotheses: 1) AHC patients experience high rates of sedation-anesthesia complications. 2) ATP1A3 mutation genotype positivity, age, and AHC severity correlate with more severe complications. 3) Prior short QTc correlates with cardiac rhythm complications. METHODS: Analysis of 34 consecutive AHC patients who underwent sedation or anesthesia. Classification of complications: mild (not requiring intervention), moderate (intervention), severe (intervention, risk for permanent injury or potential life-threatening emergency). STATISTICS: Fisher Exact test, Spearman correlations. RESULTS: These patients underwent 129 procedures (3.79 ± 2.75 procedures/patient). Twelve (35%) experienced complications during at least one procedure. Fourteen/129 procedures (11%) manifested one or more complications (2.3% mild, 7% moderate, 1.6% severe). Of the total 20 observed complications, six (33.3%) were severe: apneas (2), seizures (2), bradycardia (1), ventricular fibrillation that responded to resuscitation (1). Moderate complications: non-life-threatening bradycardias, apneas, AHC spells or seizures. Complications occurred during sedation or anesthesia and during procedures or recovery periods. Patients with disease-associated ATP1A3 variants were more likely to have moderate or severe complications. There was no correlation between complications and age or AHC severity. Presence of prior short QTc correlated with cardiac rhythm complications. After this series was analyzed, another patient had severe recurrent laryngeal dystonia requiring tracheostomy following anesthesia with intubation. CONCLUSIONS: During sedation or anesthesia, AHC patients, particularly those with ATP1A3 variants and prior short QTc, are at risk for complications consistent with AHC pathophysiology. Increased awareness is warranted during planning, performance, and recovery from such procedures.

How do aggression source, employee characteristics and organisational response impact the relationship between workplace aggression and work and health outcomes in healthcare employees? A cross-sectional analysis of the National Health Service staff survey in England.

OBJECTIVES: To examine the prevalence of aggression in healthcare and its association with employees' turnover intentions, health and engagement, as well as how these effects differ based on aggression source (patients vs colleagues), employee characteristics (race, gender and occupation) and organisational response to the aggression. DESIGN: Multilevel moderated regression analysis of 2010 National Health Service (NHS) survey. SETTING: 147 acute NHS trusts in England. PARTICIPANTS: 36 850 participants across three occupational groups (14% medical/dental, 61% nursing/midwifery, 25% allied health professionals or scientific and technical staff). MAIN OUTCOME MEASURES: Employee turnover intentions, health and work engagement. RESULTS: Both forms of aggression (from patients and colleagues) have significant and substantial effects on turnover intentions, health and work engagement; however, for all three outcome variables, the effect of aggression from colleagues is more than twice the size of the effect of aggression from patients. Organisational response was found to buffer the negative effects of aggression from patients for turnover intentions and the negative effects of aggression from patients and colleagues for employee health. The results also demonstrated that nurses/midwives, women and Black employees are more likely to experience aggression; however, no clear patterns emerged on how aggression differentially impacts employees of different races, genders and occupations with respect to the outcome variables. CONCLUSIONS: Although aggression from patients and colleagues both have negative effects on healthcare employees' turnover intentions, health and work engagement, these negative effects are worse when it is aggression from colleagues. Having an effective organisational response can help ameliorate the negative effects of aggression on employees' health; however, it may not always buffer negative effects on turnover intentions and work engagement. Future research should examine other approaches, as well as how organisational responses and resources may need to differ based on aggression source.