Implications of Patient-Provider Concordance on Treatment Recommendations for Carpal Tunnel Syndrome.

Purpose: Differences in the utilization of carpal tunnel release (CTR) by Blacks and women are well documented, but less is known regarding the impact of patient-provider concordance on treatment recommendations. To investigate this, we surveyed hand surgeons using hypothetical scenarios to evaluate variations in treatment recommendations for carpal tunnel syndrome based on patient-related factors and patient-provider concordance. Methods: Three pairs (six total) of hypothetical scenarios with clinical symptoms of carpal tunnel syndrome were created varying sex, race, and occupation. We used names as a proxy for sex and race. Occupation included manual laborers, secretaries, athletes, and retirees. American Society for Surgery of the Hand members were emailed an anonymous web-based link to participate. We used descriptive statistics to analyze the scenario-based treatment recommendations. Results: We identified 3,067 eligible members for participation; 770 surgeons responded (25%) and provided recommendations for 3,742 scenarios. For scenarios involving symptomatic patients without electrodiagnostic studies (EDS), with normal EDS, and with abnormal EDS, no difference was noted in surgeon treatment recommendations based on patients' race, sex, and occupation. Surgeons recommended EDS for 31% and 32.8% of the scenarios with Black female and White male patients, respectively, who did not have EDS at presentation and CTR for 32.3% and 33% of White females and Black males with normal EDS, respectively. Among retired Black female and White male patients older than 80 years of age with abnormal EDS, surgeons recommended CTR in 89.9% and 89.3% of them, respectively. For patient-provider racially concordant pairs, White surgeons recommended CTR to a similar proportion of Black and White hypothetical patients; however, Black surgeons recommended CTR to a greater proportion of patients with Black-sounding names. Conclusions: We found that surgeon treatment recommendation was not associated with patient race, sex, or occupation; however, differences did emerge based on patient-provider racial concordance, suggesting that alignment of patient and provider identities may influence treatment recommendations. Type of study/level of evidence: Prognostic III.

National Quality Indicators in Pediatric Sickle Cell Anemia.

OBJECTIVE: To assess nationally endorsed claims-based quality measures in pediatric sickle cell anemia (SCA). METHODS: Using data from the Sickle Cell Data Collection programs in California and Georgia from 2010 to 2019, we evaluated 2 quality measures in individuals with hemoglobin S/S or S/ß-zero thalassemia: (1) the proportion of patients aged 3 months to 5 years who were dispensed antibiotic prophylaxis for at least 300 days within each measurement year and (2) the proportion of patients aged 2 to 15 years who received at least 1 transcranial Doppler ultrasound (TCD) within each measurement year. We then evaluated differences by year and tested whether performance on quality measures differed according to demographic and clinical factors. RESULTS: Only 22.2% of those in California and 15.5% in Georgia met or exceeded the quality measure for antibiotic prophylaxis, with increased odds associated with rural residence in Georgia (odds ratio 1.61; 95% confidence interval 1.21-2.14) compared with urban residence and a trend toward increased odds associated with a pediatric hematologist prescriber (odds ratio 1.28; 95% confidence interval 0.97, 1.69) compared with a general pediatrician. Approximately one-half of the sample received an annual assessment of stroke risk using TCD (47.4% in California and 52.7% in Georgia), with increased odds each additional year in both states and among younger children. CONCLUSIONS: The rates of receipt of recommended antibiotic prophylaxis and annual TCD were low in this sample of children with SCA. These evidence-based quality measures can be tracked over time to help identify policies and practices that maximize survival in SCA.

Pediatricians' Career Satisfaction and Wellbeing by Sex Before and During the COVID-19 Pandemic.

OBJECTIVE: To compare pediatrician career satisfaction and wellbeing by sex during the coronavirus disease 2019 pandemic with prepandemic years using longitudinal survey data. METHODS: Data from a cohort study, the American Academy of Pediatrics Pediatrician Life and Career Experience Study, were used to examine career satisfaction and wellbeing from 2012 to 2021 among 2002-2004 and 2009-2011 residency graduates (n = 1760). Mixed effects logistic regression, including key pediatrician characteristics, examined career satisfaction and wellbeing measures for sex (female vs male), pandemic year (2012-2019 vs 2020-2021), and their interaction effect. Adjusted predicted percentage values (PVs) were determined. RESULTS: In total, 73.4% of participants identified as female. Adjusting for key pediatrician characteristics, differences were found by sex for satisfaction and 4 of 5 wellbeing measures, by pandemic year for 2 wellbeing measures, and the interaction of sex and pandemic year for 3 wellbeing measures. Female pediatricians reported higher levels of anxiety, sadness, and work stress, with greater differences during the pandemic. For example, female pediatricians (PV = 22.6, confidence interval [CI] = 21.0-24.3) were more likely than male pediatricians (PV = 14.2, CI = 12.0-16.4) to report anxiety during pre-pandemic years, and the difference between female pediatricians (PV = 29.3, CI = 26.7-32.0) and male pediatricians (PV = 12.4, CI = 9.3-15.5) increased during pandemic years (sex by pandemic year interaction, P < .001). CONCLUSIONS: Compared with male pediatricians, female pediatricians reported worse anxiety, sadness, and stress at work, and the differences were more pronounced during the pandemic.

Comparison of Calculations of the Financial Impact of Fellowship Training by Data Source.

Background: Previous comparisons of potential lifetime earnings between general pediatricians and pediatric subspecialties have demonstrated that many subspecialties have lower potential lifetime earnings than general pediatrics. However, those studies selectively used specific data sources for different portions of analyses. Objective: To assess the presence and magnitude of differences in earning forecasts using different authoritative data sources. Methods: This quality improvement study analyzed compensation data for 14 pediatric subspecialties and general pediatrics from the Association of Administrators in Academic Pediatrics (AAAP), Association of American Medical Colleges (AAMC), and Medical Group Management Association (MGMA) for the 2021 to 2022 academic year. Main Outcomes and Measures: The potential lifetime compensation was calculated using the net present value (NPV), which accounts both for compensation throughout training (residency and fellowship) and compensation after graduation. The potential lifetime compensation for the subspecialties and general pediatrics was compared separately for each data source. Results: This study included data from 3 sources about 14 subspecialties and general pediatrics. Depending on the data source, the magnitude of the difference in lifetime earnings between subspecialties and general pediatrics varied greatly. For all sources, there was a greater difference in lifetime earnings between higher- and lower-paid subspecialties compared with each other relative to general pediatrics. For the AAAP, the subspecialty with the greatest lifetime NPV is neonatal medicine, and the subspecialty with the least lifetime NPV is endocrinology, with a difference of $2 787 539. For the AAMC, cardiology has the greatest lifetime NPV and endocrinology the least, with a difference of $3 557 492. For the MGMA, neonatal medicine has the greatest lifetime NPV and adolescent medicine the least, with a difference of $4 210 477. Additionally, there is a notable difference in lifetime earnings in private vs academic practice. Conclusions and Relevance: These findings suggest that the difference in lifetime compensation between many pediatric subspecialties and general pediatrics is not as large as previously reported. Also, greater differences exist when comparing private practice vs academic medicine and between higher- and lower-paid subspecialties.

Prevalence of Iron Deficiency and Iron-Deficiency Anemia in US Females Aged 12-21 Years, 2003-2020.

This study examines prevalence of iron deficiency among females aged 12 to 21 years to inform future screening strategies for iron deficiency and iron-deficiency anemia.

Racial Disparity in Residual Sleep Apnea After Adenotonsillectomy.

OBJECTIVE: Black children have a higher risk of residual obstructive sleep apnea after adenotonsillectomy than non-Black children. We analyzed Childhood Adenotonsillectomy Trial data to better understand this disparity. We hypothesized that (1) child-level factors, such as asthma, smoke exposure, obesity, sleep duration, and (2) socioeconomic factors, such as maternal education, maternal health, and neighborhood disadvantage, may confound, modify, or mediate the association between Black race and residual obstructive sleep apnea after adenotonsillectomy. STUDY DESIGN: Secondary analysis of a randomized controlled trial. SETTING: Seven tertiary care centers. METHODS: We included two hundred and twenty-four 5-to-9-year-olds with mild-to-moderate obstructive sleep apnea who underwent adenotonsillectomy. The outcome was residual obstructive sleep apnea 6 months after surgery. Data were analyzed with logistic regression and mediation analysis. RESULTS: Of 224 included children, 54% were Black. Compared with non-Black children, Black children had 2.7 times greater odds of residual sleep apnea (95% confidence interval [CI]: 1.2, 6.1; p = .01), adjusted for age, sex, and baseline Apnea Hypopnea Index. There was significant effect modification by obesity. Among obese children, there was no association between Black race and outcome. However, nonobese Black children were 4.9 times as likely to have residual sleep apnea than non-Black children (95% CI: 1.2, 20.0; p < 0.01). There was no significant mediation by any of the child-level or socioeconomic factors tested. CONCLUSION: There was substantial effect modification by obesity on the association between Black race and residual sleep apnea after adenotonsillectomy for mild-to-moderate sleep apnea. Black race was associated with poorer outcome among nonobese but not obese children.

Prevalence and associated skills of Australian general practice registrars seeing children with functional bowel and bladder problems.

AIM: Functional bowel (constipation and faecal incontinence) and bladder (urinary incontinence and enuresis) problems in children are often treated by paediatricians yet should mostly be managed by general practitioners (GPs). To understand whether the necessary skills and knowledge are being built in general practice, this study aimed to establish the prevalence and associated skills of Australian general practice registrars managing children with functional bowel and bladder problems. Together as paediatricians and GPs, we use these data to determine how best to ensure high quality, equitable care for children. METHODS: We drew on 16 rounds of data collection from the Registrar Clinical Encounters in Training (ReCEnT) multi-site cohort study (2010-2017) of general practice registrars' in-consultation experience. It included a measure of paediatric consultations in which a functional bowel or bladder problem was managed, as well as demographic information. RESULTS: Out of 62 721 problems/diagnoses for paediatric patients (0-17 years), 844 (1.4%) were coded as functional bowel (n = 709; 1.13% (95% confidence interval, CI: 1.05-1.22)) and/or bladder (n = 135; 0.22% (95% CI: 0.18-0.25)) presentations. Registrars were more likely to prescribe medication for bowel problems (odds ratio (OR) = 2.22 (95% CI: 1.86-2.64)) than for all other problems, but less likely to prescribe medication (OR = 0.31 (95% CI: 0.18-0.52)) for night-time wetting and more likely to make a specialist referral (OR = 1.99 (95% CI: 1.22-3.25)) compared to all other problems. CONCLUSIONS: Only a small proportion of children with functional bowel and bladder problems were seen by registrars despite high prevalence in the community and amenability to management in the general practice setting (i.e. generally low morbidity and low complexity) versus need for specialists. Registrars appeared to be managing functional bowel and bladder problems according to evidence-based guidelines, but with relatively high levels of referral. Given the inequitable access to specialist care, paediatricians should support local general practice management of these problems. This might include (i) engaging with training programs to ensure appropriate education and (ii) liaising with individual registrars/practices to provide management advice for individual or example cases.

Faculty Perspectives on Diversity, Equity, and Inclusion: Building a Foundation for Pediatrics.

ABSTRACT: Pediatric departments and children's hospitals (hereafter pediatric academic settings) increasingly promote the tenets of diversity, equity, and inclusion (DEI) as guiding principles to shape the mission areas of clinical care, education, research, and advocacy. Integrating DEI across these domains has the potential to advance health equity and workforce diversity. Historically, initiatives toward DEI have been fragmented with efforts predominantly led by individual faculty or subgroups of faculty with little institutional investment or strategic guidance. In many instances, there is a lack of understanding or consensus regarding what constitutes DEI activities, who engages in DEI activities, how faculty feel about their engagement, and what is an appropriate level of support. Concerns also exist that DEI work falls disproportionately to racial and ethnic groups underrepresented in medicine, exacerbating what is termed the minority tax. Despite these concerns, current literature lacks quantitative data characterizing such efforts and their potential impact on the minority tax. As pediatric academic settings invest in DEI programs and leadership roles, there is imperative to develop and use tools that can survey faculty perspectives, assess efforts, and align DEI efforts between academic faculty and health systems. Our exploratory assessment among academic pediatric faculty demonstrates that much of the DEI work in pediatric academic settings is done by a small number of individuals, predominantly Black faculty, with limited institutional support or recognition. Future efforts should focus on expanding participation among all groups and increasing institutional engagement.

Children with severe sepsis: relationship between community level income and morbidity and mortality.

BACKGROUND: Health disparities surrounding pediatric severe sepsis outcomes remains unclear. We aimed to measure the relationship between indicators of socioeconomic status and mortality, hospital length of stay (LOS), and readmission rates among children hospitalized with severe sepsis. METHODS: Children 0-18 years old, hospitalized with severe sepsis in the Nationwide Readmissions Database (2016-2018) were included. The primary exposure was median household income by ZIP Code of residence, divided into quartiles. RESULTS: We identified 15,214 index pediatric severe sepsis hospitalizations. There was no difference in hospital mortality rate or readmission rate across income quartiles. Among survivors, patients in Q1 (lowest income) had a 2 day longer LOS compared to those in Q4 (Median 10 days [IQR 4-21] vs 8 days [IQR 4-18]; p < 0.0001). However, there was no difference after adjusting for multiple covariates. CONCLUSIONS: Children living in Q1 had a 2 day longer LOS versus their peers in Q4. This was not significant on multivariable analysis, suggesting income quartile is not driving this difference. As pediatric severe sepsis remains an important source of morbidity and mortality in critically ill children, more sensitive metrics of socioeconomic status may better elucidate any disparities. IMPACT: Children with severe sepsis living in the lowest income ZIP Codes may have longer hospital stays compared to peers in higher income communities. More precise metrics of socioeconomic status are needed to better understand health disparities in pediatric severe sepsis.

Is this child suitable to be seen in primary care? Poor agreement between caregiver/family perception and definitions of a 'primary care-type' patient.

AIMS: To compare and evaluate the number of paediatric patients classified as 'suitable for primary care' using the Australian Institute of Health and Welfare (AIHW) method, the Australasian College for Emergency Medicine (ACEM) method, and parental judgement. METHODS: This was a prospective observational study enrolling parents/carers presenting with their children to two Victorian EDs in Victoria, Australia over a 1-week period. Trained research assistants were posted within both EDs and surveyed all eligible parents/carers whether they agreed with the statement 'I think a GP would be able to look after my child's current illness/injury'. Survey responses were linked to clinical outcomes and length of stay. Each presentation was classified as suitable for primary care using the AIHW method, the ACEM method and parental survey. Agreement between definitions was assessed using Cohen's kappa statistic. RESULTS: During the study (June 2016), 1069 patients presented to the two EDs; 677 patients were able to be classified under all three definitions (AIHW: 1069, ACEM: 991, survey: 677 patients). Only 80/677 (12%) patients met all three criteria. Agreement was slight between the parent survey and the ACEM method (K = 0.14, 95% confidence interval (CI) 0.06-0.21), and the parent survey and the AIHW method (K = 0.12, 95% CI 0.05-0.19). There was moderate agreement between the ACEM and AIHW methods (K = 0.45, 95% CI 0.39-0.51). CONCLUSIONS: There is very poor agreement on what defines a 'primary care-type' paediatric patient between the definitions used by government, professional bodies and caregivers.

Assessing the pediatric subspecialty pipeline: it is all about the data source.

BACKGROUND: National Resident Match Program (NRMP) data are often used to identify the pediatric subspecialty pipeline. Other data sources may provide greater accuracy. METHODS: Analysis of data from the NRMP and the American Board of Pediatrics (ABP) for 14 pediatric subspecialties from 2008 to 2020. We calculated, within each subspecialty, the annual number of first-year fellowship positions offered, the NRMP match rate, the actual number of fellows entering training (ABP data) relative to the number of positions in the match (fill rate), and the actual number of matriculating first-year fellows each year. RESULTS: For all subspecialties and years, the fill rate was greater than the match rate. All subspecialties had an increase in the relative and absolute number of first-year fellows, with the largest increases seen in emergency medicine (73.3%) and critical care (68.9%). Except for adolescent medicine, all subspecialties had an absolute increase in the number of positions offered, with the largest increase in pulmonology (32.1%). CONCLUSIONS: NRMP data underestimate the actual number of first-year fellows entering subspecialty training. For all subspecialties, the number of first-year fellows has increased over time, indicating continued expansion in the pipeline for most. However, there remains great variation across subspecialties. IMPACT: Perceptions of the pipeline for the pediatric subspecialty workforce vary depending on the data source. The use of NMRP match data alone underestimates the number of matriculating trainees. The number of unmatched fellowship positions has created a perception of a diminishing number of pediatric subspecialty fellows. This study uses multiple data sources to better understand the actual number of fellows entering pediatric subspecialty training and demonstrates that the NRMP match rate alone underestimates the pipeline of the pediatric subspecialty workforce.

Vaccine Effectiveness, School Reopening, and Risk of Omicron Infection Among Adolescents Aged 12-17 Years.

PURPOSE: The BNT162b2 (Pfizer-BioNTech) is approved for adolescents aged 12-17 years. We estimated BNT162b2 vaccine effectiveness (VE) and a booster dose effectiveness in adolescents aged 12-17 years and the impact of opening schools and the Omicron variant on risk of SARS-CoV-2 infection in adolescents. METHODS: We used logistic regression with a test-negative design controlling for gender and race to estimate BNT162b2 VE and the effectiveness of a booster dose in adolescents aged 12-17 years. To evaluate the effect of school opening on Omicron transmission, we used Cox proportional hazards regression to compare adolescents to a reference group of adults aged 22-33 or aged 65+ years, investigating whether risk for adolescents increased relative to the reference group after school opened. RESULTS: We found that adolescents who received two BNT162b2 doses had significant protection against Omicron infection in the first three months following their second dose (VE = 54.5%, confidence interval [CI]: [17.8%-76.9%], p = .014) but no protection afterwards. Receiving a booster dose was associated with lower risk of infection (odds ratio = 0.48, CI: [0.33-0.69], p < .0001) and restored efficacy to a similar level (VE = 56.3%, CI: [36.5%-70.6%], p < .0001). We observed a statistically significant increase (p = .04) in adolescent infection risk relative to adults in the period of Omicron predominance. DISCUSSION: The BNT162b2 vaccine is effective at preventing SARS-CoV-2 infection in adolescents but immunity against Omicron wanes rapidly and booster doses are needed to retain protection. More research is needed to determine the effect of school reopening on spread in the Omicron-dominant period.

Strengthening Care for Children (SC4C): protocol for a stepped wedge cluster randomised controlled trial of an integrated general practitioner-paediatrician model of primary care.

INTRODUCTION: Australia's current healthcare system for children is neither sustainable nor equitable. As children (0-4 years) comprise the largest proportion of all primary care-type emergency department presentations, general practitioners (GPs) report feeling undervalued as an integral member of a child's care, and lacking in opportunities for support and training in paediatric conditions. This Strengthening Care for Children (SC4C) randomised trial aims to evaluate a novel, integrated GP-paediatrician model of care, that, if effective, will improve GP quality of care, reduce burden to hospital services and ensure children receive the right care, at the right time, closer to home. METHODS AND ANALYSIS: SC4C is a stepped wedge cluster randomised controlled trial (RCT) of 22 general practice clinics in Victoria and New South Wales, Australia. General practice clinics will provide control period data before being exposed to the 12-month intervention which will be rolled out sequentially each month (one clinic per state) until all 22 clinics receive the intervention. The intervention comprises weekly GP-paediatrician co-consultation sessions; monthly case discussions; and phone and email paediatrician support, focusing on common paediatric conditions. The primary outcome of the trial is to assess the impact of the intervention as measured by the proportion of children's (0-<18 years) GP appointments that result in a hospital referral, compared with the control period. Secondary outcomes include GP quality of care; GP experience and confidence in providing paediatric care; family trust in and preference for GP care; and the sustainability of the intervention. An implementation evaluation will assess the model to inform acceptability, adaptability, scalability and sustainability, while a health economic evaluation will measure the cost-effectiveness of the intervention. ETHICS AND DISSEMINATION: Human research ethics committee (HREC) approval was granted by The Royal Children's Hospital Ethics Committee in August 2020 (Project ID: 65955) and site-specific HRECs. The investigators (including Primary Health Network partners) will communicate trial results to stakeholders and participating GPs and general practice clinics via presentations and publications. TRIAL REGISTRATION NUMBER: Australia New Zealand Clinical Trials Registry 12620001299998.

COVID-19 vaccine effectiveness against omicron (B.1.1.529) variant infection and hospitalisation in patients taking immunosuppressive medications: a retrospective cohort study.

Background: There is a scarcity of research regarding the effectiveness of the mRNA-1273 (Moderna) and BNT162b2 (Pfizer-BioNTech) COVID-19 vaccines in patients taking immunosuppressant medications, and no data are published to date pertaining to their effectiveness against omicron (B.1.1.529) variant SARS-CoV-2 infection and hospitalisation. We aimed to assess the relationship between immunosuppressive medications, mRNA vaccination, omicron infection, and severe COVID-19 outcomes (ie, hospitalisation, ICU admission, death). Methods: We did a retrospective cohort study and included vaccinated and unvaccinated people aged 18 years or older in the Michigan Medicine health-care system, USA, during the omicron-dominant period of the pandemic (Dec 16, 2021-March 4, 2022). We collected data from electronic health records (demographics, diagnoses, medications) combined with immunisation data from the Michigan State Registry to determine vaccination status, and we collected COVID-19-related hospitalisation data by chart review. We used a Cox proportional hazards model based on calendar time to assess the effectiveness of the mRNA-1273 and BNT162b2 vaccines in people taking immunosuppressive medications (conventional synthetic disease-modifying antirheumatic drugs [DMARDs], biologic DMARDs, or glucocorticoids within the past 3 months), while controlling for participant characteristics. Using the same model, we assessed the effect of different classes of medication such as immunosuppressive DMARDs, immunomodulatory DMARDs, and glucocorticoids on SARS-CoV-2 infection and hospitalisation due to COVID-19. All analyses were done using complete cases after removing participants with missing covariates. Findings: 209 492 people were identified in Michigan Medicine, including 165 913 who were vaccinated and 43 579 who were unvaccinated. 41 078 people were excluded because they were younger than 18 years, partially vaccinated, had received a vaccine other than the two vaccines studied, or had incomplete covariate data. 168 414 people were included in the analysis; 97 935 (58%) were women, 70 479 (42%) were men, and 129 816 (77%) were White. 5609 (3%) people were taking immunosuppressive medications. In patients receiving immunosuppressants, three doses of BNT162b2 had a vaccine effectiveness of 50% (95% CI 31-64; p<0·0001) and three doses of mRNA-1273 had a vaccine effectiveness of 60% (42-73; p<0·0001) against SARS-CoV-2 infection. Three doses of either vaccine had an effectiveness of 87% (95% CI 73-93; p<0·0001) against hospitalisation due to COVID-19. Receipt of immunosuppressive DMARDs (hazard ratio 2·32, 95% CI 1·23-4·38; p=0·0097) or glucocorticoids (2·93, 1·77-4·86; p<0·0001) and a history of organ or bone marrow transplantation (3·52, 2·01-6·16; p<0·0001) were associated with increased risk of hospitalisation due to COVID-19 compared with those who had not received immunosuppressive medications or transplant. Interpretation: People taking immunosuppressive DMARDs or glucocorticoids are at substantially higher risk of hospitalisation due to COVID-19 than the general population. However, the mRNA-1273 and BNT162b2 vaccines remain effective within this group, and it is important that patients taking these medications remain up to date with vaccinations to mitigate their risk. Funding: National Institute of Allergy and Infectious Diseases, National Institutes of Health.

Machine Learning Approaches for Hospital Acquired Pressure Injuries: A Retrospective Study of Electronic Medical Records.

Background: Many machine learning heuristics integrate well with Electronic Medical Record (EMR) systems yet often fail to surpass traditional statistical models for biomedical applications. Objective: We sought to compare predictive performances of 12 machine learning and traditional statistical techniques to predict the occurrence of Hospital Acquired Pressure Injuries (HAPI). Methods: EMR information was collected from 57,227 hospitalizations acquired from Dartmouth Hitchcock Medical Center (April 2011 to December 2016). Twelve classification algorithms, chosen based upon classic regression and recent machine learning techniques, were trained to predict HAPI incidence and performance was assessed using the Area Under the Receiver Operating Characteristic Curve (AUC). Results: Logistic regression achieved a performance (AUC = 0.91 ± 0.034) comparable to the other machine learning approaches. We report discordance between machine learning derived predictors compared to the traditional statistical model. We visually assessed important patient-specific factors through Shapley Additive Explanations. Conclusions: Machine learning models will continue to inform clinical decision-making processes but should be compared to traditional modeling approaches to ensure proper utilization. Disagreements between important predictors found by traditional and machine learning modeling approaches can potentially confuse clinicians and need to be reconciled. These developments represent important steps forward in developing real-time predictive models that can be integrated into EMR systems to reduce unnecessary harm.

Association between COVID-19 restrictions and emergency department presentations for paediatric mental health in Victoria, Australia.

Objective To determine the association between coronavirus disease 2019 (COVID-19) restrictions and paediatric mental health emergency department presentations. Methods Secondary analysis of Victorian Emergency Minimum Dataset data from 38 Victorian public hospital emergency departments. Paediatric patients (birth to <18 years) attending emergency departments with an International Classification of Disease-Australian Modification (ICD-10-AM) diagnosis of a mental health problem between 1 January 2018 and 31 October 2020 were included. We compared pre-COVID-19 (1 January 2018-27 March 2020) to the COVID-19 period (28 March-26 October 2020) to examine the number of mental health presentations by patient age, socioeconomic status, location, and emergency department triage category. A Poisson regression prediction model was built for each diagnosis group to predict the presentation number in the COVID-19 period, assuming the pandemic and associated restrictions had not happened. Results There were 15 898 presentations (589 presentations/month on average) in the pre-COVID-19 period and 4747 presentations (678 presentations/month on average) in the COVID-19 period. Compared with predicted presentations, there was an increase in observed presentations for eating disorders throughout lockdown (on average, an increase of 36 presentations/month) and for anxiety (11/month) and self-harm (18/month). There were no meaningful changes for mood disorders or developmental and behavioural problems, and presentations for substance abuse mostly fell. Conclusions Pandemic restrictions were associated with increased emergency department presentations for eating disorders and, to a lesser extent, anxiety and self-harm. Given the ongoing pandemic, clinicians and policy makers must work together to find timely, accessible solutions to better manage these conditions.

Different Measures and Ways to Categorize Pediatrician Burnout and the Association with Satisfaction.

OBJECTIVE: Compare pediatrician burnout when measured and categorized in different ways to better understand burnout and the association with satisfaction. STUDY DESIGN: We analyzed national survey data from a cohort study of early to midcareer pediatricians. In 2017, participants randomly received 1 of 3 question sets measuring burnout components (emotional exhaustion, depersonalization, and personal accomplishment): group A received the Maslach Burnout Inventory, group B received a previously used measure, and group C received a new severe measure. Repeated measures ANOVA tested differences across burnout categorizations: high emotional exhaustion and high depersonalization and low personal accomplishment; high emotional exhaustion and high depersonalization; and high emotional exhaustion or high depersonalization. Logistic regression tested relationships between burnout profiles (engaged, intermediate, and burnout) and satisfaction. Seventy-one percent of participants completed the survey (1279/1800). RESULTS: Burnout varied depending on measurement (groups A, B, and C) and categorization. For example, for group A, when categorized as high emotional exhaustion, high depersonalization, and low personal accomplishment, burnout was lower (4.8%) than categorized as high emotional exhaustion and depersonalization (15.2%) (P < .001) or categorized as high emotional exhaustion or depersonalization (44.6%) (P < .001). Most participants were satisfied with their career (83.6%). Using burnout profiles, 38.4%-85.1% fell in the engaged profile. For each group, burnout profiles were associated with satisfaction. For example, group A participants in the burnout or intermediate profile were less likely than those engaged to be satisfied with their careers (aOR, 0.08 [95% CI, 0.03-0.24]; and aOR, 0.23 [95% CI, 0.10-0.56], respectively). CONCLUSIONS: The way burnout is measured and categorized affects burnout prevalence and its association with satisfaction. Transparency in methodology used is critical to interpreting results.