Pediatric Hospitalists' Performance of Recommended Minor Procedures: A Multicenter Study.

BACKGROUND AND OBJECTIVES: Performance of minor procedures is highly variable among pediatric hospitalists. Our objective was to describe procedural frequency and measure self-assessed competence in recommended minor procedures among practicing hospitalists. METHODS: An electronic survey was administered across 20 US institutions. An individual survey assessed training, frequency, independence, and success in performing 11 minor procedures. The site survey described practice settings at participating study sites. The primary outcome was respondents' self-assessed competence (SAC), derived by averaging self-assessed independence and success scores (each on a 5-point Likert scale) across all 11 minor procedures. Associations between predictor variables and SAC were determined through analysis of variance for categorical variables and fitted regression models for continuous variables. RESULTS: Of the 360 survey respondents, the majority were female (70%), not fellowship trained (78%), and had 10 years or fewer experience as a hospitalist (72%). Lumbar puncture and bag mask ventilation were most frequently performed. Greater procedural frequency and time since graduation from training were associated with higher SAC scores among respondents. Practice characteristics, including comanagement of patients and reserved time for practicing procedures, were associated with higher SAC scores. The presence of a simulation center and fellowship program was not associated with higher SAC scores. CONCLUSIONS: Pediatric hospitalists that performed procedures more frequently had higher self-assessed procedural competence. Tailored opportunities with increased hands-on experience in performing minor procedures may be important to develop and maintain procedural skills.

Inpatient Screening of Parental Adversity and Strengths.

BACKGROUND AND OBJECTIVES: Social adversities, including health-harming social risks and adverse childhood experiences, contribute to poor outcomes after hospital discharge. Screening for social adversities is increasingly pursued in outpatient settings. Identifying and addressing such adversities has been linked to improved child outcomes. Screening for social adversities and strengths in the inpatient setting may contribute to better transitions from hospital to home. Our goal was twofold: 1. to use qualitative methods to understand parent perspectives around screening tools for potential use in inpatient settings; and 2. to develop a family-friendly inpatient screening tool for social adversity. METHODS: We used in-depth, cognitive qualitative interviews with parents to elicit their views on existing screening tools covering social adversities and strengths. We partnered with a local nonprofit to recruit parents who recently had a child hospitalized or visited the emergency department. There were 2 phases of the study. In the first phase, we used qualitative methods to develop a screening prototype. In the second phase, we obtained feedback on the prototype. RESULTS: We interviewed 18 parents who identified 3 major themes around screening: 1. factors that promote parents to respond openly and honestly during screening; 2. feedback about screening tools and the prototype; and 3. screening should include resources. CONCLUSIONS: Social adversity routinely affects children; hospitalization is an important time to screen families for adversity and potential coexisting strengths. Using qualitative parent feedback, we developed the family friendly Collaborate to Optimize Parent Experience screening tool.

Using Geomarkers and Sociodemographics to Inform Assessment of Caregiver Adversity and Resilience.

BACKGROUND AND OBJECTIVES: A high level of caregiver adverse childhood experiences (ACEs) and/or low resilience is associated with poor outcomes for both caregivers and their children after hospital discharge. It is unknown if sociodemographic or area-based measures (ie, "geomarkers") can inform the assessment of caregiver ACEs or resilience. Our objective was to determine if caregiver ACEs or resilience can be identified by using any combinations of sociodemographic measures, geomarkers, and/or caregiver-reported household characteristics. METHODS: Eligible participants for this cohort study were English-speaking caregivers of children hospitalized on a hospital medicine team. Caregivers completed the ACE questionnaire, Brief Resilience Scale, and strain surveys. Exposures included sociodemographic characteristics available in the electronic health record (EHR), geomarkers tied to a patient's geocoded home address, and household characteristics that are not present in the EHR (eg, income). Primary outcomes were a high caregiver ACE score (≥4) and/or a low BRS Score (<3). RESULTS: Of the 1272 included caregivers, 543 reported high ACE or low resilience, and 63 reported both. We developed the following regression models: sociodemographic variables in EHR (Model 1), EHR sociodemographics and geomarkers (Model 2), and EHR sociodemographics, geomarkers, and additional survey-reported household characteristics (Model 3). The ability of models to identify the presence of caregiver adversity was poor (all areas under receiver operating characteristics curves were <0.65). CONCLUSIONS: Models using EHR data, geomarkers, and household-level characteristics to identify caregiver adversity had limited utility. Directly asking questions to caregivers or integrating risk and strength assessments during pediatric hospitalization may be a better approach to identifying caregiver adversity.

Association Between Statewide School Closure and COVID-19 Incidence and Mortality in the US.

Importance: In the US, states enacted nonpharmaceutical interventions, including school closure, to reduce the spread of coronavirus disease 2019 (COVID-19). All 50 states closed schools in March 2020 despite uncertainty if school closure would be effective. Objective: To determine if school closure and its timing were associated with decreased COVID-19 incidence and mortality. Design, Setting, and Participants: US population-based observational study conducted between March 9, 2020, and May 7, 2020, using interrupted time series analyses incorporating a lag period to allow for potential policy-associated changes to occur. To isolate the association of school closure with outcomes, state-level nonpharmaceutical interventions and attributes were included in negative binomial regression models. States were examined in quartiles based on state-level COVID-19 cumulative incidence per 100 000 residents at the time of school closure. Models were used to derive the estimated absolute differences between schools that closed and schools that remained open as well as the number of cases and deaths if states had closed schools when the cumulative incidence of COVID-19 was in the lowest quartile compared with the highest quartile. Exposures: Closure of primary and secondary schools. Main Outcomes and Measures: COVID-19 daily incidence and mortality per 100 000 residents. Results: COVID-19 cumulative incidence in states at the time of school closure ranged from 0 to 14.75 cases per 100 000 population. School closure was associated with a significant decline in the incidence of COVID-19 (adjusted relative change per week, -62% [95% CI, -71% to -49%]) and mortality (adjusted relative change per week, -58% [95% CI, -68% to -46%]). Both of these associations were largest in states with low cumulative incidence of COVID-19 at the time of school closure. For example, states with the lowest incidence of COVID-19 had a -72% (95% CI, -79% to -62%) relative change in incidence compared with -49% (95% CI, -62% to -33%) for those states with the highest cumulative incidence. In a model derived from this analysis, it was estimated that closing schools when the cumulative incidence of COVID-19 was in the lowest quartile compared with the highest quartile was associated with 128.7 fewer cases per 100 000 population over 26 days and with 1.5 fewer deaths per 100 000 population over 16 days. Conclusions and Relevance: Between March 9, 2020, and May 7, 2020, school closure in the US was temporally associated with decreased COVID-19 incidence and mortality; states that closed schools earlier, when cumulative incidence of COVID-19 was low, had the largest relative reduction in incidence and mortality. However, it remains possible that some of the reduction may have been related to other concurrent nonpharmaceutical interventions.