Implementing a Post-Discharge Telemedicine Service Pilot to Enhance the Hospital to Home Transition.

OBJECTIVES: The objectives of this study are to (1) describe our postdischarge telemedicine program and (2) evaluate program implementation. METHODS: At our single-center tertiary care children's hospital, we launched our postdischarge telemedicine program in April 2020. We used the Template for Intervention Description and Replication framework to describe our pilot program and Proctor's conceptual framework to evaluate implementation over a 9-month period. Retrospective chart review was conducted. Descriptive analyses were used to compare demographics and health care reutilization rates across patients. Implementation outcomes included adoption (rate of scheduled visits) and feasibility (rate of completed visits). Effectiveness outcomes included the rate of postdischarge issues and unscheduled healthcare utilization. RESULTS: We established a postdischarge telemedicine program for a general pediatric population that ensured follow-up at a time when in-person evaluation was limited because of the coronavirus disease 2019 pandemic. For implementation evaluation, we included all 107 patients in the pilot program. Adoption was 100% and feasibility was 58%. Eighty-two percent of patients completing a visit reported one or more postdischarge issues. There was no difference in health system reutilization between those who completed a visit and those who did not. CONCLUSIONS: Implementation of a postdischarge telemedicine service is achievable and promotes early detection of failures in the hospital to home transition. Directions for future study will include rigorous program evaluation via telemedicine program assessment tools and sustainability efforts that build upon known implementation and health service outcomes.

Identifying and Validating Pediatric Hospitalizations for MIS-C Through Administrative Data.

BACKGROUND: Individual children's hospitals care for a small number of patients with multisystem inflammatory syndrome in children (MIS-C). Administrative databases offer an opportunity to conduct generalizable research; however, identifying patients with MIS-C is challenging. METHODS: We developed and validated algorithms to identify MIS-C hospitalizations in administrative databases. We developed 10 approaches using diagnostic codes and medication billing data and applied them to the Pediatric Health Information System from January 2020 to August 2021. We reviewed medical records at 7 geographically diverse hospitals to compare potential cases of MIS-C identified by algorithms to each participating hospital's list of patients with MIS-C (used for public health reporting). RESULTS: The sites had 245 hospitalizations for MIS-C in 2020 and 358 additional MIS-C hospitalizations through August 2021. One algorithm for the identification of cases in 2020 had a sensitivity of 82%, a low false positive rate of 22%, and a positive predictive value (PPV) of 78%. For hospitalizations in 2021, the sensitivity of the MIS-C diagnosis code was 98% with 84% PPV. CONCLUSION: We developed high-sensitivity algorithms to use for epidemiologic research and high-PPV algorithms for comparative effectiveness research. Accurate algorithms to identify MIS-C hospitalizations can facilitate important research for understanding this novel entity as it evolves during new waves.

Examining the Association Between MIS-C and the Child Opportunity Index at a Single Center.

OBJECTIVE: To describe associations between the Child Opportunity Index (COI) and multisystem inflammatory syndrome of childhood (MIS-C) diagnosis among hospitalized children. METHODS: We used a retrospective case control study design to examine children ≤21 years hospitalized at a single, tertiary care children's hospital between March 2020 and June 2021. Our study population included children diagnosed with MIS-C (n = 111) and a control group of children hospitalized for MIS-C evaluation who had an alternative diagnosis (n = 61). Census tract COI was the exposure variable, determined using the patient's home address mapped to the census tract. Our outcome measure was MIS-C diagnosis. Odds ratios measured associations between COI and MIS-C diagnosis. RESULTS: Our study population included 111 children diagnosed with MIS-C and 61 children evaluated but ruled out for MIS-C. The distribution of census tract overall COI differed significantly between children diagnosed with MIS-C compared with children with an alternate diagnosis (P = .03). Children residing in census tracts with very low to low overall COI (2.82, 95% confidence interval [CI]: 1.29-6.17) and very low to low health/environment COI (4.69, 95% CI 2.21-9.97) had significantly higher odds of being diagnosed with MIS-C compared with children living in moderate and high to very high COI census tracts, respectively. CONCLUSION: Census tract child opportunity is associated with MIS-C diagnosis among hospitalized children suggesting an important contribution of place-based determinants in the development of MIS-C.

A Customized Triggers Program: A Children's Hospital's Experience in Improving Trigger Usability.

BACKGROUND: Despite the growth of patient safety programs across the United States, errors and adverse events remain a source of patient harm. Many hospitals rely on retrospective voluntary reporting systems; however, there are opportunities to improve patient safety using novel tools like trigger programs. METHODS: Children's National Hospital developed a unique pediatric triggers program that offers customized, near real-time reports of potential safety events. Our team defined a measure to quantify clinical utility of triggers, termed "trigger signal," as the percentage of cases that represent true adverse or near-miss events (numerator) per total triggers activated (denominator). Our key driver diagram focused on unifying the program structure, increasing data analytics, promoting organizational awareness, and supporting multidisciplinary end user engagement. Using the model for improvement, we aimed to double overall trigger signal from 8% to 16% and sustain for 12 months. RESULTS: The trigger signal increased from 8% to 41% and sustained during the coronavirus disease 2019 pandemic. A balancing measure of time to implement a new trigger decreased. Key interventions to increase trigger signal were change in the program structure, increasing stakeholder engagement, and development of self-service reports for end users. CONCLUSIONS: Children's National Hospital's triggers program highlights successful evolution of an iterative, customized approach to increase clinical utility that hospitals can implement to impact real-time patient care. This triggers program requires an iterative, customized approach rather than a "1-size-fits-all," static paradigm to add a new dimension to current patient safety programs.

Length of Stay and Barriers to Discharge for Technology-Dependent Children During the COVID-19 Pandemic.

BACKGROUND AND OBJECTIVE: During the coronavirus disease 2019 pandemic, technology-dependent children are at risk of encountering barriers to hospital discharge because of limits to in-home services. Transition difficulties could increase length of stay (LOS). With this study, we aim to (1) evaluate change in LOS and (2) describe barriers to hospital discharge between prepandemic and early pandemic periods for technology-dependent children. METHODS: A retrospective chart review of technology-dependent children discharged from an acute and specialty pediatric hospital within a single urban area between January 1 and May 28, 2020 was conducted. Technology dependence was defined by using a validated complex chronic condition coding system. Patients discharged prepandemic and during the pandemic were compared. Outcomes included LOS and the number and type of discharge barriers (a factor not related to a medical condition that delays discharge). Multivariate regression modeling and parametric and nonparametric analysis were used to compare cohorts. RESULTS: Prepandemic, 163 patients were discharged, and 119 were discharged during the early stages of the pandemic. The most common technology dependence was a feeding tube. The unadjusted median LOS was 7 days in both groups. After adjusting for patient-level factors, discharge during the pandemic resulted in a 32.2% longer LOS (confidence interval 2.1%-71.2%). The number of discharge barriers was high but unchanged between cohorts. Lack of a trained caregiver was more frequent during the pandemic (P = .03). CONCLUSIONS: Barriers to discharge were frequent for both cohorts. Discharge during the pandemic was associated with longer LOS. It was more difficult to identify a trained caregiver during the pandemic.

Elevated Parental Stress Is Associated With Lower Self-Efficacy in Provider Communication During a Pandemic.

BACKGROUND: Effective communication between physician and parent promotes a successful alliance with families. The association of parental stress with self-efficacy when communicating during parent-physician interactions is unknown in the context of a pandemic. OBJECTIVES: Objectives of this study include quantifying and comparing the stress experienced by parents of hospitalized children before and after onset of the COVID-19 pandemic and examining the relationship of stress with self-efficacy in parent-physician communication during interactions throughout hospitalization. METHODS: We conducted in-person surveys of parents of children aged 3 months to 17 years hospitalized at a quaternary-level children's hospital, before and after onset of COVID-19. Parents completed 2 validated tools: Parenting Stress Index (PSI-SF) and the Perceived Efficacy in Parent-Physician Interactions (PEPPI), measuring self-efficacy in communicating with physicians. Socioeconomic data were collected. Fisher exact test and t test were used to compare score proportions and means; linear regression was used to evaluate association between PSI-SF and PEPPI with confounder adjustments. RESULTS: Forty-nine parents were recruited; the majority identified as non-White and female. An inverse relationship was noted between the total stress score and parental self-efficacy, which only attained statistical significance in the post-COVID-19 cohort (P = .02, multivariate P = .044). A significant increase in the mean was observed for subscale scores of Difficult Child (P = .019) and Parent-Child Dysfunctional Interaction after COVID-19 (P = .016). CONCLUSIONS: Elevated parental stress is associated with decreased self-efficacy during parent-physician interactions and it worsened during the pandemic. Future studies should examine the effect of different communication styles on parental stress and self-efficacy during hospitalization.

Child Opportunity Index and Changes in Pediatric Acute Care Utilization in the COVID-19 Pandemic.

BACKGROUND: Pediatric acute care utilization decreased dramatically during the coronavirus disease 2019 (COVID-19) pandemic. This study examined the association between the Child Opportunity Index (COI), a multidimensional neighborhood measure of childhood opportunity, and changes in acute care utilization at US pediatric hospitals during the COVID-19 pandemic compared with the previous 3 years. METHODS: This observational study used administrative data across 41 US-based pediatric hospitals. Children aged 0 to 17 years with emergency department (ED) encounters during the study period were included. The COVID-19 pandemic time period (March 15, 2020-March 14, 2021) was the primary exposure. The primary outcome was the relative volume drop in ED encounters and observation/inpatient admissions through the ED by COI quintile. RESULTS: Of 12 138 750 encounters, 3 705 320 (30.5%) were among the very low COI quintile. Overall, there was a 46.8% relative volume reduction in the pandemic period compared with the prepandmic period. This drop in volume occurred disproportionately among the very low COI quintile (51.1%) compared with the very high COI quintile (42.8%). The majority of clinical diagnosis groups demonstrated larger relative volume drops among the very low COI quintile. CONCLUSIONS: Acute care utilization decreased the most among children from very low COI neighborhoods, narrowing previously described acute care utilization disparities. Additional study of patient perspectives on health care needs and access during this period is required to understand these changes.

Cardiac echocardiogram findings of severe acute respiratory syndrome coronavirus-2-associated multi-system inflammatory syndrome in children.

BACKGROUND: A novel paediatric disease, multi-system inflammatory syndrome in children, has emerged during the 2019 coronavirus disease pandemic. OBJECTIVES: To describe the short-term evolution of cardiac complications and associated risk factors in patients with multi-system inflammatory syndrome in children. METHODS: Retrospective single-centre study of confirmed multi-system inflammatory syndrome in children treated from 29 March, 2020 to 1 September, 2020. Cardiac complications during the acute phase were defined as decreased systolic function, coronary artery abnormalities, pericardial effusion, or mitral and/or tricuspid valve regurgitation. Patients with or without cardiac complications were compared with chi-square, Fisher's exact, and Wilcoxon rank sum. RESULTS: Thirty-nine children with median (interquartile range) age 7.8 (3.6-12.7) years were included. Nineteen (49%) patients developed cardiac complications including systolic dysfunction (33%), valvular regurgitation (31%), coronary artery abnormalities (18%), and pericardial effusion (5%). At the time of the most recent follow-up, at a median (interquartile range) of 49 (26-61) days, cardiac complications resolved in 16/19 (84%) patients. Two patients had persistent mild systolic dysfunction and one patient had persistent coronary artery abnormality. Children with cardiac complications were more likely to have higher N-terminal B-type natriuretic peptide (p = 0.01), higher white blood cell count (p = 0.01), higher neutrophil count (p = 0.02), severe lymphopenia (p = 0.05), use of milrinone (p = 0.03), and intensive care requirement (p = 0.04). CONCLUSION: Patients with multi-system inflammatory syndrome in children had a high rate of cardiac complications in the acute phase, with associated inflammatory markers. Although cardiac complications resolved in 84% of patients, further long-term studies are needed to assess if the cardiac abnormalities (transient or persistent) are associated with major cardiac events.

Multisystem Inflammatory Syndrome of Children: Subphenotypes, Risk Factors, Biomarkers, Cytokine Profiles, and Viral Sequencing.

OBJECTIVE: To assess demographic, clinical, and biomarker features distinguishing patients with multisystem inflammatory syndrome in children (MIS-C); compare MIS-C sub-phenotypes; identify cytokine biosignatures; and characterize viral genome sequences. STUDY DESIGN: We performed a prospective observational cohort study of 124 children hospitalized and treated under the institutional MIS-C Task Force protocol from March to September 2020 at Children's National, a quaternary freestanding children's hospital in Washington, DC. Of this cohort, 63 of the patients had the diagnosis of MIS-C (39 confirmed, 24 probable) and 61 were from the same cohort of admitted patients who subsequently had an alternative diagnosis (controls). RESULTS: Median age and sex were similar between MIS-C and controls. Black (46%) and Latino (35%) children were over-represented in the MIS-C cohort, with Black children at greatest risk (OR 4.62, 95% CI 1.151-14.10; P = .007). Cardiac complications were more frequent in critically ill patients with MIS-C (55% vs 28%; P = .04) including systolic myocardial dysfunction (39% vs 3%; P = .001) and valvular regurgitation (33% vs 7%; P = .01). Median cycle threshold was 31.8 (27.95-35.1 IQR) in MIS-C cases, significantly greater (indicating lower viral load) than in primary severe acute respiratory syndrome coronavirus 2 infection. Cytokines soluble interleukin 2 receptor, interleukin [IL]-10, and IL-6 were greater in patients with MIS-C compared with controls. Cytokine analysis revealed subphenotype differences between critically ill vs noncritically ill (IL-2, soluble interleukin 2 receptor, IL-10, IL-6); polymerase chain reaction positive vs negative (tumor necrosis factor-α, IL-10, IL-6); and presence vs absence of cardiac abnormalities (IL-17). Phylogenetic analysis of viral genome sequences revealed predominance of GH clade originating in Europe, with no differences comparing patients with MIS-C with patients with primary coronavirus disease 19. Treatment was well tolerated, and no children died. CONCLUSIONS: This study establishes a well-characterized large cohort of MIS-C evaluated and treated following a standardized protocol and identifies key clinical, biomarker, cytokine, viral load, and sequencing features. Long-term follow-up will provide opportunity for future insights into MIS-C and its sequelae.

Safety Events in Children's Hospitals During the COVID-19 Pandemic.

BACKGROUND AND OBJECTIVES: The coronavirus disease 2019 (COVID-19) pandemic has impacted hospitals, potentially affecting quality and safety. Our objective was to compare pediatric hospitalization safety events during the pandemic versus previous years. METHODS: In this retrospective cohort study of hospitalizations in the Pediatric Health Information System, we compared Pediatric Quality Indicator (PDI) rates from March 15 to May 31, 2017-2019 (pre-COVID-19), with those from March 15 to May 31, 2020 (during COVID-19). Generalized linear mixed-effects models with adjustment for patient characteristics (eg, diagnosis, clinical severity) were used. RESULTS: There were 399 113 discharges pre-COVID-19 and 88 140 during COVID-19. Unadjusted PDI rates were higher during versus pre-COVID-19 for overall PDIs (6.39 vs 5.05; P < .001). In adjusted analyses, odds of postoperative sepsis were higher during COVID-19 versus pre-COVID-19 (adjusted odds ratio 1.28 [95% confidence interval 1.04-1.56]). The remainder of the PDIs did not have increased adjusted odds during compared with pre-COVID-19. CONCLUSIONS: Postoperative sepsis rates increased among children hospitalized during COVID-19. Efforts are needed to improve safety of postoperative care for hospitalized children.