Pediatric readmission prevalence and variability across hospitals

Cerebrospinal Fluid Shunt Infections

Cerebrospinal fluid (CSF) shunt infections are a particularly challenging clinical problem. This review article addresses epidemiology and microbiology of CSF shunt infections. Clinical care is reviewed in detail, including recent guidelines and systematic review articles. Finally, current research into prevention and treatment is highlighted, with a discussion on the mechanisms of infection.

Synergistic use of Unplanned Reoperation and Hospital Readmission rates for quality monitoring in pediatric surgical care

INTRODUCTION

Unplanned reoperation (URO) and unplanned hospital readmission (UHR) are key quality indicators used to assess healthcare quality improvement. The aim of this study was to describe, quantify, analyze and compare both indicators in a Pediatric Surgery Department.

METHODOLOGY

An observational study was conducted reviewing the medical records of pediatric patients who underwent unplanned reoperation and unplanned hospital readmission over a six-year period in a pediatric surgical unit. The incidence, indications, and causes of reoperations and readmissions were analyzed.

RESULTS

A total of 6,376 surgeries were performed over a six-year period. During this time, there were 37 (0.58%) URO and 20 (0.31%) UHR. There were 23/2,437(0.94%) URO and 14/2,437(0.57%) UHR among emergency surgeries. In contrast, there were 14/3,939(0.35%) URO and 6/3,939(0.15%) UHR among elective surgeries (p < 0.05). Outpatient surgeries had 3/1,639 (0.18%) URO and 1/1,639 (0.06%) UHR compared to inpatient surgeries that had 11/2,300(0.47%) URO and 5/2,300 (0.21%) UHR respectively (p = ns). A total of 1,570 appendectomies were performed during the study period, with 8/1,570(0.5%) patients requiring either a URO or a UHR. The most frequent indication for both URO and UHR were intra-abdominal infections. The main cause of URO was a technical error during surgery (70%), while the main cause of UHR was an error in the medical treatment (35%).

CONCLUSION

In our practice, URO are more frequent than UHR. Emergency surgeries have a higher risk of undergoing an URO or a UHR. Acute appendicitis is the most common diagnosis associated with the need for an URO or a UHR. The majority of unplanned reoperation cases are due to technical errors during surgery.

Seize the day: A quality improvement approach to support transition of care and decrease 30-day readmissions for pediatric patients with epilepsy

PURPOSE

Elevated rates of 30-day readmission for children with epilepsy were noted at a stand-alone pediatric acute care facility. To address this issue, a standardized pathway was created and implemented in 2017. The main objective was to ensure that patients with epilepsy and their families were adequately prepared for discharge and the transition to home.

DESIGN AND METHODS

Using a quality improvement (QI) approach, a standardized education pathway was developed and implemented to decrease unplanned 30-day readmissions of patients with a diagnosis of epilepsy from a specialized neurology unit. An interprofessional care team received training to ensure standardized communication around the pathway approach and components. All patients with a diagnosis of epilepsy and their families were educated using the pathway and guided through additional simulation and teach-back exercises.

RESULTS

Analysis demonstrated a 27.6 % decrease in unplanned 30-day readmissions in the 6 years following implementation. An estimated $950,000 in cost savings was achieved secondary to program implementation.

CONCLUSIONS

Utilizing the pathway standardizes epilepsy management education and decreases unplanned 30-day readmissions for pediatric patients diagnosed with epilepsy. A standardized educational plan is an essential component of patient discharge teaching and proper home management of epilepsy.

PRACTICE IMPLICATIONS

For sustainability, education needs to be continuously refreshed and included in onboarding new nurses. To ensure health equity, translation of the pathway into multiple languages is needed.

Boosting REsources And caregiver empowerment for Tracheostomy care at HomE (BREATHE) Study: study protocol for a stratified randomization trial

BACKGROUND

Annually, about 4000 US children undergo a tracheostomy procedure to provide a functional, safe airway. In the hospital, qualified staff monitor and address problems, but post-discharge this responsibility shifts entirely to caregivers. The stress and constant demands of caregiving for a child with a tracheostomy with or without ventilator negatively affect caregivers. The aims of the study are to relieve the burden and stress experienced by caregivers at home, improve safety and outcomes for children post-discharge, and identify facilitators and barriers to implementation of comprehensive pediatric discharge programs.

METHODS

The Boosting REsources and cAregiver empowerment for Tracheostomy care at HomE (BREATHE Study) is a pragmatic two-arm, randomized trial with six sites across the US. Caregivers of a child with a tracheostomy are randomized to comparator ("Trach Me Home") or intervention ("Trach Plus"). The Comparator arm is the current gold standard focusing on caregiver education, technical skill building, and case management. The Intervention arm contains all elements of the Comparator plus educational resources, social support and communication with the outpatient pediatrician. Caregivers will complete three surveys: baseline (pre-discharge), 4-week and 6-month post-discharge. Outpatient pediatricians will complete a survey to assess self-confidence in caring for a child with tracheostomy and satisfaction with discharge communication. Interviews with clinicians and staff will identify facilitators and barriers to implementation. The study will examine whether the Intervention arm leads to lower caregiver burden, lower readmission rates and higher pediatrician satisfaction than Comparator arm.

DISCUSSION

The BREATHE Study will advance our understanding of how hospitals can support caregivers with a child with a tracheostomy as they resume life, work, and family activities after discharge.

TRIAL REGISTRATION

Registered on clinicaltrials.gov (NCT06283953). February 28, 2024.

Complication Timing, Failure to Rescue, and Readmission After Inpatient Pediatric Surgery

BACKGROUND

Complications are associated with postoperative mortality and readmission. However, the timing of complications relative to discharge and the extent to which timing is associated with failure to rescue (FTR) and readmission after pediatric surgery is unknown. Our goal was to describe the timing of complications relative to discharge after inpatient pediatric surgery and determine the association between complication timing, FTR, and unplanned readmission.

MATERIALS AND METHODS

National cohort study of patients within the NSQIP-Pediatric database who underwent inpatient surgery (2012-2019). Complications were categorized based on when they occurred relative to discharge: only pre-discharge, only post-discharge, both. The association between perioperative outcomes and the timing of postoperative complications was evaluated with multivariable hierarchical regression.

RESULTS

Among 378,551 patients, 30,213 (8.0%) had at least one postoperative complication. Relative to patients with pre-discharge complications, post-discharge complications were associated with significantly decreased odds of FTR (odds ratio 0.21, 95% confidence interval [0.15-0.28]) and significantly increased odds of readmission (odds ratio 19.37 [17.93-20.92]). Odds of FTR and readmission in patients with complications occurring both before and after discharge were similar to that of patients with only post-discharge complications.

CONCLUSIONS

FTR and readmission are associated with complications occurring at different times relative to discharge (FTR primarily pre-discharge; readmission primarily post-discharge). This suggests a 'one size fits all' approach to surgical quality improvement may not be effective and different approaches are needed to address different quality indicators.

Association of uric acid with length of stay and mortality in pediatric hospitalized population

PURPOSE

Elevated uric acid (UA) levels have been associated with acute and chronic diseases, which could affect the prognosis of pediatric hospitalized patients. However, the association of UA levels with length of hospital stay (LOS) and mortality in hospitalized children and adolescents remains unknown. Therefore, the aim of this study was to evaluate the association of serum UA levels with in-hospital mortality and prolonged LOS in hospitalized children and adolescents.

METHODS

A retrospective cohort study was conducted, involving 128 patients under 18 years of age, admitted to a tertiary-care hospital between January 2014 and December 2018. UA levels were assessed with an average of 3 days before the in-hospital outcome (discharge or death). Logistic regression was used to determine the association of UA with prolonged LOS (defined as over 30 days of hospitalization), while Cox regression multivariate analysis was employed to assess UA as a predictor of in-hospital mortality.

RESULTS

UA levels showed an inverse association with prolonged LOS. Specifically, for every 1 mg/dL increase in UA level, the odds of experiencing prolonged LOS decreased by 31% (OR = 0.69; 95% CI: 0.50-0.95). Additionally, individuals with elevated UA levels had lower odds of prolonged LOS (OR = 0.23; 95% CI: 0.08-0.66). However, UA levels were not associated with in-hospital mortality (HR = 1.63; 95% CI: 0.94-2.82).

CONCLUSION

Serum UA was inversely associated with LOS among children and adolescents, but no association was observed with in-hospital mortality.

A multicenter randomized trial to compare automatic versus as-needed follow-up for children hospitalized with common infections: The FAAN-C trial protocol

INTRODUCTION

Physicians commonly recommend automatic primary care follow-up visits to children being discharged from the hospital. While automatic follow-up provides an opportunity to address postdischarge needs, the alternative is as-needed follow-up. With this strategy, families monitor their child's symptoms and decide if they need a follow-up visit in the days after discharge. In addition to being family centered, as-needed follow-up has the potential to reduce time and financial burdens on both families and the healthcare system. As-needed follow-up has been shown to be safe and effective for children hospitalized with bronchiolitis, but the extent to which hospitalized children with other common conditions might benefit from as-needed follow-up is unclear.

METHODS

The Follow-up Automatically versus As-Needed Comparison (FAAN-C, or "fancy") trial is a multicenter randomized controlled trial. Children who are hospitalized for pneumonia, urinary tract infection, skin and soft tissue infection, or acute gastroenteritis are eligible to participate. Participants are randomized to an as-needed versus automatic posthospitalization follow-up recommendation. The sample size estimate is 2674 participants and the primary outcome is all-cause hospital readmission within 14 days of discharge. Secondary outcomes are medical interventions and child health-related quality of life. Analyses will be conducted in an intention-to-treat manner, testing noninferiority of as-needed follow-up compared with automatic follow-up.

DISCUSSION

FAAN-C will elucidate the relative benefits of an as-needed versus automatic follow-up recommendation, informing one of the most common decisions faced by families of hospitalized children and their medical providers. Findings from FAAN-C will also have implications for national quality metrics and guidelines.

A predictive model for readmission within 1-year post-discharge in patients with schizophrenia

BACKGROUND

Schizophrenia is a pervasive and severe mental disorder characterized by significant disability and high rates of recurrence. The persistently high rates of readmission after discharge present a serious challenge and source of stress in treating this population. Early identification of this risk is critical for implementing targeted interventions. The present study aimed to develop an easy-to-use predictive instrument for identifying the risk of readmission within 1-year post-discharge among schizophrenia patients in China.

METHODS

A prediction model, based on static factors, was developed using data from 247 schizophrenia inpatients admitted to the Mental Health Center in Wuxi, China, from July 1 to December 31, 2020. For internal validation, an additional 106 patients were included. Multivariate Cox regression was applied to identify independent predictors and to create a nomogram for predicting the likelihood of readmission within 1-year post-discharge. The model's performance in terms of discrimination and calibration was evaluated using bootstrapping with 1000 resamples.

RESULTS

Multivariate cox regression demonstrated that involuntary admission (adjusted hazard ratio [aHR] 4.35, 95% confidence interval [CI] 2.13-8.86), repeat admissions (aHR 3.49, 95% CI 2.08-5.85), the prescription of antipsychotic polypharmacy (aHR 2.16, 95% CI 1.34-3.48), and a course of disease ≥ 20 years (aHR 1.80, 95% CI 1.04-3.12) were independent predictors for the readmission of schizophrenia patients within 1-year post-discharge. The area under the curve (AUC) and concordance index (C-index) of the nomogram constructed from these four factors were 0.820 and 0.780 in the training set, and 0.846 and 0.796 for the validation set, respectively. Furthermore, the calibration curves of the nomogram for both the training and validation sets closely approximated the ideal diagonal line. Additionally, decision curve analyses (DCAs) demonstrated a significantly better net benefit with this model.

CONCLUSIONS

A nomogram, developed using pre-discharge static factors, was designed to predict the likelihood of readmission within 1-year post-discharge for patients with schizophrenia. This tool may offer clinicians an accurate and effective way for the timely prediction and early management of psychiatric readmissions.

The mediating effects of parenting self-efficacy between readiness for hospital discharge and post-discharge coping difficulty among mothers of preterm infants

Post-discharge coping difficulty presents a significant challenge for mothers of preterm infants. The readiness for hospital discharge and parenting self-efficacy are crucial factors influencing post-discharge coping difficulty. However, the pathways through which these factors impact post-discharge coping difficulty remain unclear. This study aims to investigate the impact of readiness for hospital discharge on post-discharge coping difficulty and the mediating role of parenting self-efficacy among mothers of preterm infants. A prospective study involving 462 mothers of preterm infants from six tertiary hospitals in Shandong Province was conducted. Mothers were evaluated on the day of discharge (using the Baseline characteristics and Readiness for Hospital Discharge Scale) and three weeks post-discharge (utilizing the Parenting Sense of Competence Scale-Efficacy subscale and Post-Discharge Coping Difficulty Scale). Structural equation modeling was employed to analyze the mediating effect. The results of this study revealed that readiness for hospital discharge significantly decreased post-discharge coping difficulty (β = - 0.533, P < 0.001), and parenting self-efficacy also significantly reduced post-discharge coping difficulty (β = - 0.419, P < 0.001). Furthermore, parenting self-efficacy partially mediated the relationship between readiness for hospital discharge and post-discharge coping difficulty, accounting for 25.35% of the total effect. Mothers reported a moderate level of post-discharge coping difficulty. In assisting mothers of premature infants to alleviate post-discharge coping difficulty, nurses could implement strategies focused on enhancing readiness for hospital discharge and parenting self-efficacy.

Readmission After Neonatal Intensive Care Unit Discharge: The Importance of Social Drivers of Health

OBJECTIVE

To determine associations between sociodemographic and medical factors and odds of readmission after discharge from the neonatal intensive care unit for infants with very low birth weight (<1500g).

STUDY DESIGN

Cohort study using linked data from the California Perinatal Quality Care Collaborative, California Vital Statistics, and the Child Opportunity Index (COI) 2.0. Infants with very low birth weight born from 2009 through 2018 in California were considered. Odds ratios of readmission within 30 days of discharge adjusting for infant medical factors, maternal sociodemographic factors, and birth hospital were calculated via multivariable logistic regression and fixed-effect logistic regression models.

RESULTS

A total of 42 411 infants met inclusion criteria. Also, 8.5% of all infants were readmitted within 30 days of discharge. In addition to traditional medical risk factors, two sociodemographic factors were significantly associated with increased odds of readmission in adjusted models: payor other than private insurance for delivery [aOR = 1.25 (95% CI 1.14-1.36)] and maternal education of less than high school degree [aOR = 1.19 (95% CI 1.06-1.33)]. Neighborhood Child Opportunity Index was not associated with odds of readmission.

CONCLUSIONS

Sociodemographic factors, including lack of private insurance and lower maternal educational attainment, are significantly and independently associated with increased odds of readmission after neonatal intensive care unit discharge, in addition to traditional medical risk factors. Socioeconomic deprivation and health literacy may contribute to risk of readmission. Targeted discharge interventions focused on addressing social drivers of health warrant exploration.

Unplanned Readmissions in Children with Medical Complexity in Saudi Arabia: A Large Multicenter Study

Background

Children with medical complexity (CMC) account for a substantial proportion of healthcare spending, and one-third of their expenditures are due to readmissions. However, knowledge regarding the healthcare-resource utilization and characteristics of CMC in Saudi Arabia is limited.

Objectives

To describe hospitalization patterns and characteristics of Saudi CMC with an unplanned 30-day readmission.

Methodology

This retrospective study included Saudi CMC (aged 0-14 years) who had an unplanned 30-day readmission at six tertiary centers in Riyadh, Jeddah, Dammam, Alahsa, and Almadina between January 2016 and December 2020. Hospital-based inclusion criteria focused on CMC with multiple complex chronic conditions (CCCs) and technology assistance (TA) device use. CMC were compared across demographics, clinical characteristics, and hospital-resource utilization.

Results

A total of 9139 pediatric patients had unplanned 30-day readmission during the study period, of which 680 (7.4%) met the inclusion criteria. Genetic conditions were the most predominant primary pathology (66.3%), with one-third of cases (33.7%) involving the neuromuscular system. During the index admission, pneumonia was the most common diagnosis (33.1%). Approximately 35.1% of the readmissions were after 2 weeks. Pneumonia accounted for 32.5% of the readmissions. After readmission, 16.9% of patients were diagnosed with another CCC or received a new TA device, and the in-hospital mortality rate was 6.6%.

Conclusion

The rate of unplanned 30-day readmissions in children with medical complexity in Saudi Arabia is 7.4%, which is lower than those reported from developed countries. Saudi children with CCCs and TA devices were readmitted approximately within similar post-discharge time and showed distinct hospitalization patterns associated with specific diagnoses. To effectively reduce the risk of 30-day readmissions, targeted measures must be introduced both during the hospitalization period and after discharge.

Pediatrician perspectives on barriers and facilitators to discharge instruction comprehension and adherence for parents of children with medical complexity

BACKGROUND

High rates of posthospitalization errors are observed in children with medical complexity (CMC). Poor parent comprehension of and adherence to complex discharge instructions can contribute to errors. Pediatrician views on common barriers and facilitators to parent comprehension and adherence are understudied.

OBJECTIVE

To examine pediatrician perspectives on barriers and facilitators experienced by parents in comprehension of and adherence to inpatient discharge instructions for CMC.

DESIGN, SETTINGS, AND PARTICIPANTS

We conducted a qualitative, descriptive study of attending pediatricians (n = 20) caring for CMC in inpatient settings (United States and Canada) and belonging to listservs for pediatric hospitalists/complex care providers. We used purposive/maximum variation sampling to ensure heterogeneity (e.g., hospital, region).

MAIN OUTCOME AND MEASURES

A multidisciplinary team designed and piloted a semistructured interview guide with pediatricians who care for CMC. Team members conducted semistructured interviews via phone or video call. Interviews were audiorecorded and transcribed. We analyzed transcripts using content analysis; codes were derived a priori from a conceptual framework (based on the Pediatric Self-Management Model) and a preliminary transcript analysis. We applied codes and identified emerging themes.

RESULTS

Pediatricians identified three themes as barriers and facilitators to discharge instruction comprehension and adherence: (1) regimen complexity, (2) access to the healthcare team (e.g., inpatient team, outpatient pediatrician, home nursing) and resources (e.g., medications, medical equipment), and (3) need for a family centered and health literacy-informed approach to discharge planning and education. Next steps include the assessment of parent perspectives on barriers and facilitators to discharge instruction comprehension and adherence for prents of CMC and the development of intervention strategies.

Quantitative noninvasive measurement of cerebrospinal fluid flow in shunted hydrocephalus

OBJECTIVE

Standard MRI protocols lack a quantitative sequence that can be used to evaluate shunt-treated patients with a history of hydrocephalus. The objective of this study was to investigate the use of phase-contrast MRI (PC-MRI), a quantitative MR sequence, to measure CSF flow through the shunt and demonstrate PC-MRI as a useful adjunct in the clinical monitoring of shunt-treated patients.

METHODS

The rapid (96 seconds) PC-MRI sequence was calibrated using a flow phantom with known flow rates ranging from 0 to 24 mL/hr. Following phantom calibration, 21 patients were scanned with the PC-MRI sequence. Multiple, successive proximal and distal measurements were gathered in 5 patients to test for measurement error in different portions of the shunt system and to determine intrapatient CSF flow variability. The study also includes the first in vivo validations of PC-MRI for CSF shunt flow by comparing phase-contrast-measured flow rate with CSF accumulation in a collection burette obtained in patients with externalized distal shunts.

RESULTS

The PC-MRI sequence successfully measured CSF flow rates ranging from 6 to 54 mL/hr in 21 consecutive pediatric patients. Comparison of PC-MRI flow measurement and CSF volume collected in a bedside burette showed good agreement in a patient with an externalized distal shunt. Notably, the distal portion of the shunt demonstrated lower measurement error when compared with PC-MRI measurements acquired in the proximal catheter.

CONCLUSIONS

The PC-MRI sequence provided accurate and reliable clinical measurements of CSF flow in shunt-treated patients. This work provides the necessary framework to include PC-MRI as an immediate addition to the clinical setting in the noninvasive evaluation of shunt function and in future clinical investigations of CSF physiology.

Discharge Time of Day and 30-day Hospital Reutilization at an Academic Children's Hospital

BACKGROUND

Pediatric hospital discharge is a complex process. Although morning discharges are operationally preferred, little is known about the association between discharge time of day and discharge outcomes. We assessed whether children discharged from the hospital in the evening have a higher 30-day hospital reutilization rate than those discharged in the morning or afternoon.

METHODS

We conducted a retrospective cohort study on discharges from a children's hospital between July 2016 and December 2019. The cohort was divided into morning, afternoon, and evening discharges. Multivariable modified least-squares regression was used to compare 30-day all-cause hospital reutilization rates between morning, afternoon, and evening discharges while adjusting for demographic and clinical characteristics.

RESULTS

Among 24 994 hospital discharges, 6103 (24.4%) were in the morning, 13 786 (55.2%) were in the afternoon, and 5105 (20.4%) were in the evening. The unadjusted 30-day hospital reutilization rates were 14.1% in children discharged in the morning, 18.2% in children discharged in the afternoon, and 19.3% in children discharged in the evening. The adjusted 30-day hospital reutilization rate was lowest in the morning (6.1%, 95% confidence interval [CI] 4.1%-8.2%), followed by afternoon (9.0%, 95% CI 7.0%-11.0%) and evening discharges (10.1%, 95% CI 8.0%-12.3%). Morning discharge had a significantly lower adjusted 30-day all-cause hospital reutilization rate compared with evening discharge (P < .001), whereas afternoon and evening discharges were not significantly different (P = .06).

CONCLUSIONS

The adjusted 30-day all-cause hospital reutilization rate was higher for evening discharges compared with morning discharges, whereas the rate was not significantly different between afternoon and evening discharges.

Characteristics, outcomes, and 30-day readmissions following pediatric extracorporeal membrane oxygenation in the United States: A Nationwide Readmissions Database study

OBJECTIVES

Extracorporeal membrane oxygenation (ECMO) is an increasingly used mode of critical care support for pediatric patients refractory to conventional therapy. We evaluated the characteristics, outcomes, and readmissions rates for pediatric ECMO in the United States.

METHODS

Data was extracted from the Nationwide Readmissions Database, a database designed to support national readmissions analyses, for patients aged 1-18 years undergoing ECMO between 2012-2018. Baseline demographics, comorbidities, and characteristics were identified using International Classification of Diseases codes.

RESULTS

Out of 897,117 index pediatric hospitalizations, 3706 patients underwent ECMO [median age 9 years (IQR 2,15); 51.6% males]. 2246 (60.6%) patients survived to hospital discharge, with a 30-day readmissions rate of 17% among survivors. Cardiac conditions associated with ECMO were congenital heart disease (25.3%), cardiogenic shock (23.6%), and congestive heart failure (16.2%). The common respiratory associations were sepsis (36.2%), pneumonia (35.6%), and asthma (15.4%). Patients who survived were more likely to have diagnoses of asthma, bronchiolitis, myocarditis, pneumonia, and sepsis. Acute kidney injury (51.5%), disseminated intravascular coagulation (22.5%), and surgical site bleeding (12.7%) were the commonly associated complications. The trend for yearly survival rates was not statistically significant (linear p-trend = 0.38).

CONCLUSIONS

Pediatric ECMO continues to be associated with notable mortality and complication rates. We did not observe a meaningful trend for the yearly survival rates over the study period, and over one-sixth of survivors were readmitted within 30-days. More research is needed to identify patients at high risk of mortality and readmissions, to help target resources more efficiently and improve survival.

Machine learning for hospital readmission prediction in pediatric population

BACKGROUND AND OBJECTIVE

Pediatric readmissions are a burden on patients, families, and the healthcare system. In order to identify patients at higher readmission risk, more accurate techniques, as machine learning (ML), could be a good strategy to expand the knowledge in this area. The aim of this study was to develop predictive models capable of identifying children and adolescents at high risk of potentially avoidable 30-day readmission using ML.

METHODS

Retrospective cohort study was carried out with 9,080 patients under 18 years old admitted to a tertiary university hospital. Demographic, clinical, and biochemical data were collected from electronic databases. We randomly divided the dataset into training (75 %) and testing (25 %), applied downsampling, repeated cross-validation with five folds and ten repetitions, and the hyperparameter was optimized of each technique using a grid search via racing with ANOVA models. We applied six ML classification algorithms to build the predictive models, including classification and regression tree (CART), random forest (RF), gradient boosting machine (GBM), extreme gradient boosting (XGBoost), decision tree and logistic regression (LR). The area under the receiver operating curve (AUC), sensitivity, specificity, Youden's J-index and accuracy were used to evaluate the performance of each model.

RESULTS

The avoidable 30-day hospital readmissions rate was 9.5 %. Some algorithms presented similar AUC, both in the dataset training and in the dataset testing, such as XGBoost, RF, GBM and CART. Considering the Youden's J-index, the algorithm that presented the best index was XGBoost with bagging imputation, with AUC of 0.814 (J-index of 0.484). Cancer diagnosis, age, red blood cells, leukocytes, red cell distribution width and sodium levels, elective admission, and multimorbidity were the most important characteristics to classify between readmission and non-readmission groups.

CONCLUSION

Machine learning approaches, especially XGBoost, can predict potentially avoidable 30-day pediatric hospital readmission into tertiary assistance. If implemented in the computer hospital system, our model can help in the early and more accurate identification of patients at readmission risk, targeting health strategic interventions.

Neutrophil-to-lymphocyte ratio as a predictor of postoperative complications and readmissions after appendectomy in children

To analyze the role of neutrophil-to-lymphocyte ratio (NLR) in predicting the development of postoperative complications and readmission after appendectomy in children. A retrospective single-centered case-control study was conducted on children who underwent appendectomy between 2017 and 2020. Demographics, time since symptoms onset, laboratory tests at admission, postoperative complications, and readmissions in the first 30 days after surgery were recorded. Sensitivity and specificity analysis of the parameters evaluated were determined by the area under the curve (AUC) represented on the receiver operating characteristic (ROC) curves. A total of 1,214 patients (765 males; 449 females) were included, with a median age at diagnosis of 10.4 years. The median time from symptom onset was 24 h. During the first 30 days after surgery, 149 postoperative complications were reported (12.3%). NLR at admission presented the highest AUC (0.753), with a cut-off point of 10.5 for maximum sensitivity (68.7%) and specificity (86.1%). Readmissions were reported in 45 cases (3.7%). NLR at admission presented an AUC of 0.794 significantly higher than neutrophils (0.696), leukocytes (0.654), and time since symptom onset (0.622), making these differences statistically significant (p < 0.001). The cut-off point of NLR > 12.4 was estimated, with a maximum sensitivity and specificity of 71.0% and 82.3% for predicting readmission. NLR is an independent predictor of postoperative complications and readmission in children with acute appendicitis. While its application in routine clinical practice has yet to be established, the NLR may provide clinicians with a tool for identifying high-risk surgical patients.

Telehealth Coverage for a Pediatric Gastroenterology Consult Service at a Regional Hospital: An Accepted, Useful, and Sustainable Model of Care

OBJECTIVE

To evaluate a novel telehealth inpatient pediatric gastroenterology (GI) consult service at a regional children's hospital in regard to acceptance, utility, quality, sustainability, and provider resiliency.

STUDY DESIGN

Patients requiring GI care at a regional children's hospital between July 2020 and June 2021 were treated by an in-person or telehealth physician with physician assistant support, randomly assigned based on a weekly preset staffing schedule. A retrospective, multidomain program evaluation was performed based on the RE-AIM (reach, effectiveness, adoption, implementation, and maintenance) and STEM (SPROUT Telehealth Evaluation and Management) frameworks, using statistical analysis to compare the patient cohorts and anonymous surveys to assess provider perceptions.

RESULTS

In total, 1051 patient-days of GI care were provided for 348 patients, 17% by telehealth and 83% in-person. There were no significant differences in diagnosis, transfer, or readmission rates between the cohorts. No transfers occurred for reasons other than need to access specialized services not available at the regional hospital. Daily consult workload was slightly greater for telehealth physicians. Primary and consult team providers accepted the practice. The model continued beyond the first year. In total, 75% of local GI physicians reported greater Brief Resilience Scores in the context of shifting 20% of their inpatient call weeks to another campus's physicians.

CONCLUSION

Episodic pediatric GI consult service coverage via telehealth at a regional hospital was well accepted, useful, and sustainable, with improved physician resilience and no adverse outcomes seen. Telehealth holds promise for leveraging pediatric subspecialty physicians across hospitals, allowing complex patients to be admitted closer to home while reducing inpatient coverage requirements for smaller physician groups.

Identifying the Prevalence and Causes of 30-Day Hospital Readmission in Children: A Case Study from a Tertiary Pediatric Hospital

Introduction

The objectives of this study were to determine the prevalence of unplanned readmissions in the pediatric population within 30 days of discharge, identify the possible reasons behind them, and develop a predictive model for unplanned admissions.

Methods

A retrospective chart review study of 25,211 patients was conducted to identify the prevalence of readmissions occurring within 30 days of discharge from the King Abdullah Specialized Children's Hospital (KASCH) in Riyadh, Saudi Arabia, between Jan 1, 2019, and Dec 31, 2021. The data were collected using the BestCare electronic health records system and analyzed using Jamovi statistical software version 1.6.

Results

Among the 25,211 patients admitted to the hospital during the study period, the prevalence of unplanned readmission within 30 days was 1291 (5.12%). Of the 1291 patients, 1.91% had subsequent unplanned readmissions. In 57.8% of the cases, the cause of the first unplanned readmission was related to the cause of the first admission, and in 90.64% of the cases, the cause of the subsequent unplanned readmission was related to the cause of the first unplanned readmission. The most common reason for the first unplanned readmission was postoperative complications (18.75%), whereas pneumonia (10.81%) was the most common reason for subsequent unplanned readmissions. Most patients with subsequent unplanned readmissions were also found to have either isolated central nervous system pathology or chronic complex medical conditions.

Conclusion

Internationally, the rate of unplanned readmissions in pediatric patients has been estimated to be 6.5% within 30 days, which is comparable to the results of our study (5.12%). Most of the causes of first and subsequent unplanned readmission were found to be related to primary admission. The diagnosis/causes of readmission vary depending on the patient's age. A predictive model for pediatric readmission should be established so that preventive measures can be implemented.

Management of Discharge Instructions for Children With Medical Complexity: A Systematic Review

CONTEXT

Children with medical complexity (CMC) are at risk for adverse outcomes after discharge. Difficulties with comprehension of and adherence to discharge instructions contribute to these errors. Comprehensive reviews of patient-, caregiver-, provider-, and system-level characteristics and interventions associated with discharge instruction comprehension and adherence for CMC are lacking.

OBJECTIVE

To systematically review the literature related to factors associated with comprehension of and adherence to discharge instructions for CMC.

DATA SOURCES

PubMed/Medline, Embase, Cochrane Central Register of Controlled Trials, PsycInfo, Cumulative Index to Nursing and Allied Health Literature, Web of Science (database initiation until March 2023), and OAIster (gray literature) were searched.

STUDY SELECTION

Original studies examining caregiver comprehension of and adherence to discharge instructions for CMC (Patient Medical Complexity Algorithm) were evaluated.

DATA EXTRACTION

Two authors independently screened titles/abstracts and reviewed full-text articles. Two authors extracted data related to study characteristics, methodology, subjects, and results.

RESULTS

Fifty-one studies were included. More than half were qualitative or mixed methods studies. Few interventional studies examined objective outcomes. More than half of studies examined instructions for equipment (eg, tracheostomies). Common issues related to access, care coordination, and stress/anxiety. Facilitators included accounting for family context and using health literacy-informed strategies.

LIMITATIONS

No randomized trials met inclusion criteria. Several groups (eg, oncologic diagnoses, NICU patients) were not examined in this review.

CONCLUSIONS

Multiple factors affect comprehension of and adherence to discharge instructions for CMC. Several areas (eg, appointments, feeding tubes) were understudied. Future work should focus on design of interventions to optimize transitions.

Readmission Rates After Acute Respiratory Distress Syndrome in Children

Importance

An increasing number of children survive after acute respiratory distress syndrome (ARDS). The long-term morbidity affecting these survivors, including the burden of hospital readmission and key factors associated with readmission, is unknown.

Objective

To determine 1-year readmission rates among survivors of pediatric ARDS and to investigate the associations of 3 key index hospitalization factors (presence or development of a complex chronic condition, receipt of a tracheostomy, and hospital length of stay [LOS]) with readmission.

Design, Setting, and Participants

This retrospective cohort study used data from the commercial or Medicaid IBM MarketScan databases between 2013 and 2017, with follow-up data through 2018. Participants included hospitalized children (aged ≥28 days to <18 years) who received mechanical ventilation and had algorithm-identified ARDS. Data analysis was completed from March 2022 to March 2023.

Exposures

Complex chronic conditions (none, nonrespiratory, and respiratory), receipt of tracheostomy, and index hospital LOS.

Main Outcomes and Measures

The primary outcome was 1-year, all-cause hospital readmission. Univariable and multivariable Cox proportional hazard models were created to test the association of key hospitalization factors with readmission.

Results

One-year readmission occurred in 3748 of 13 505 children (median [IQR] age, 4 [0-14] years; 7869 boys [58.3%]) with mechanically ventilated ARDS who survived to hospital discharge. In survival analysis, the probability of 1-year readmission was 30.0% (95% CI, 29.0%-30.8%). One-half of readmissions occurred within 61 days of discharge (95% CI, 56-67 days). Both respiratory (adjusted hazard ratio [aHR], 2.69; 95% CI, 2.42-2.98) and nonrespiratory (aHR, 1.86; 95% CI, 1.71-2.03) complex chronic conditions were associated with 1-year readmission. Placement of a new tracheostomy (aHR, 1.98; 95% CI, 1.69-2.33) and LOS 14 days or longer (aHR, 1.87; 95% CI, 1.62-2.16) were associated with readmission. After exclusion of children with chronic conditions, LOS 14 days or longer continued to be associated with readmission (aHR, 1.92; 95% CI, 1.49-2.47).

Conclusions and Relevance

In this retrospective cohort study of children with ARDS who survived to discharge, important factors associated with readmission included the presence or development of chronic medical conditions during the index admission, tracheostomy placement during index admission, and index hospitalization of 14 days or longer. Future studies should evaluate whether postdischarge interventions (eg, telephonic contact, follow-up clinics, and home health care) may help reduce the readmission burden.

Factors associated with hospital admission and 30-day readmission for children less than 18 years of age in 2018 in France: a one-year nationwide observational study

BACKGROUND

Nationwide data for children for short-stay hospitalisation (SSH) and associated factors are scarce. This retrospective study of children in France < 18 years of age followed after their birth or birthday in 2018 focused on at least one annual SSH, stay < 1 night or ≥ 1 night, or 30-day readmission ≥ 1 night.

METHODS

Children were selected from the national health data system (SNDS), which includes data on long-term chronic disease (LTD) status with full reimbursement and complementary universal coverage based on low household income (CMUC). Uni and multivariate quasi-Poisson regression were applied for each outcome.

RESULTS

Among 13.211 million children (94.4% population, 51.2% boys), CMUC was identified for 17.5% and at least one LTD for 4% (0-<1 year: 1.5%; 14-<18 year: 5.2%). The most frequent LTDs were pervasive developmental diseases (0.53%), asthma (0.24%), epilepsy (0.17%), and type 1 diabetes (0.15%). At least one SSH was found for 8.8%: SSH < 1 night (4.9%), SSH ≥ 1 night (4.5%), readmission (0.4%). Children with at least one SSH were younger (median 6 vs. 9 years) and more often had CMUC (21%), a LTD (12%), an emergency department (ED) visit (56%), or various primary healthcare visits than all children. Those with a SSH ≥1 night vs. < 1 night were older (median: 9 vs. 4 years). They had the same frequency of LTD (13.4%) but more often an ED visit (78% vs. 42%). Children with readmissions were younger (median 3 years). They had the highest levels of CMUC (29.3%), LTD (34%), EDs in their municipality (35% vs. 29% for the whole population) and ED visits (87%). In adjusted analysis, each outcome was significantly less frequent among girls than boys and more frequent for children with CMUC. LTDs with the largest association with SSH < 1 night were cystic fibrosis, sickle cell diseases (SCD), diabetes type 1, those with SSH ≥1 night type 1 diabetes epilepsy and SCD, and those for readmissions lymphoid leukaemia, malignant neoplasm of the brain, and SCD. Among all SSH admissions of children < 10 years, 25.8% were potentially preventable.

CONCLUSION

Higher SSH and readmission rates were found for children with certain LTD living in low-income households, suggesting the need or increase of specific policy actions and research.

Annual Variation in 30-Day Risk-Adjusted Readmission Rates in U.S. Children's Hospitals

OBJECTIVE

Reducing pediatric readmissions has become a national priority; however, the use of readmission rates as a quality metric remains controversial. The goal of this study was to examine short-term stability and long-term changes in hospital readmission rates.

METHODS

Data from the Pediatric Health Information System were used to compare annual 30-day risk-adjusted readmission rates (RARRs) in 47 US children's hospitals from 2016 to 2017 (short-term) and 2016 to 2019 (long-term). Pearson correlation coefficients and weighted Cohen's Kappa statistics were used to measure correlation and agreement across years for hospital-level RARRs and performance quartiles.

RESULTS

Median (IQR) 30-day RARRs remained stable from 7.7% (7.0-8.3) in 2016 to 7.6% (7.0-8.1) in 2019. Individual hospital RARRs in 2016 were strongly correlated with the same hospital's 2017 rate (R2 = 0.89 [95% confidence interval (CI) 0.80-0.94]) and moderately correlated with those in 2019 (R2 = 0.49 [95%CI 0.23-0.68]). Short-term RARRs (2016 vs 2017) were more highly correlated for medical conditions than surgical conditions, but correlations between long-term medical and surgical RARRs (2016 vs 2019) were similar. Agreement between RARRs was higher when comparing short-term changes (0.73 [95%CI 0.59-0.86]) than long-term changes (0.45 [95%CI 0.27-0.63]). From 2016 to 2019, RARRs increased by ≥1% in 7 (15%) hospitals and decreased by ≥1% in 6 (13%) hospitals. Only 7 (15%) hospitals experienced reductions in RARRs over the short and long-term.

CONCLUSIONS

Hospital-level performance on RARRs remained stable with high agreement over the short-term suggesting stability of readmission measures. There was little evidence of sustained improvement in hospital-level performance over multiple years.

Association of Chest Radiography With Outcomes in Pediatric Pneumonia: A Population-Based Study

OBJECTIVE

Chest radiograph (CXR) is often performed for the evaluation of community-acquired pneumonia (CAP) in the ED setting. We sought to evaluate the association of undergoing CXR with 7-day hospitalization after emergency department (ED) discharge among patients with CAP.

METHODS

This was a retrospective cohort study including children 3 months to 17 years discharged from any ED within 8 states from 2014 to 2019. We evaluated the association of CXR performance with 7-day hospitalization at both the patient and ED levels using mixed-effects logistic regression models accounting for markers of illness severity. Secondary outcomes included 7-day ED revisits and 7-day hospitalization with severe CAP.

RESULTS

Among 206 694 children with CAP, rates of 7-day ED revisit, hospitalization, and severe CAP were 8.9%, 1.6%, and 0.4%, respectively. After adjusting for illness severity, CXR was associated with fewer 7-day hospitalizations (1.6% vs. 1.7%, adjusted odds ratio: [aOR] 0.82, 95% confidence interval [CI]: 0.73-0.92). CXR performance varied somewhat between EDs (median 91.5%, IQR: 85.3%-95.0%). EDs in the highest quartile had fewer 7-day hospitalizations (1.4% vs 1.9%, aOR: 0.78, 95% CI: 0.65-0.94), ED revisits (8.5% vs 9.4%, aOR: 0.88, 95% CI: 0.80-0.96) and hospitalizations for severe CAP (0.3% vs. 0.5%, aOR: 0.70, 95% CI: 0.51-0.97) as compared to EDs with the lowest quartile of CXR utilization.

CONCLUSIONS

Among children discharged from the ED with CAP, performance of CXR was associated with a small but significant reduction in hospitalization within 7 days. CXR may be helpful in the prognostic evaluation of children with CAP discharged from the ED.

Pharmacist-Led Discharge Transitions of Care Interventions for Pediatric Patients: A Narrative Review

Transitions of care (TOC) before, during, and after hospital discharge are an opportune setting to optimize medication management. The quality standards for pediatric care transitions, however, are lacking, leading to reduced health outcomes in children. This narrative review characterizes the pediatric populations that would benefit from focused, TOC interventions. Different types of medication-focused TOC interventions during hospital discharge are described, including medication reconciliation, education, access, and adherence tools. Various TOC intervention delivery models following hospital discharge are also reviewed. The goal of this narrative review is to help pediatric pharmacists and pharmacy leaders better understand TOC interventions and integrate them into the hospital discharge process for children and their caregivers.

Who should see the patient? on deviations from preferred patient-provider assignments in hospitals

In various organizations including hospitals, individuals are not forced to follow specific assignments, and thus, deviations from preferred task assignments are common. This is due to the conventional wisdom that professionals should be given the flexibility to deviate from preferred assignments as needed. It is unclear, however, whether and when this conventional wisdom is true. We use evidence on the assignments of generalist and specialists to patients in our partner hospital (a children's hospital), and generate insights into whether and when hospital administrators should disallow such flexibility. We do so by identifying 73 top medical diagnoses and using detailed patient-level electronic medical record (EMR) data of more than 4,700 hospitalizations. In parallel, we conduct a survey of medical experts and utilized it to identify the preferred provider type that should have been assigned to each patient. Using these two sources of data, we examine the consequence of deviations from preferred provider assignments on three sets of performance measures: operational efficiency (measured by length of stay), quality of care (measured by 30-day readmissions and adverse events), and cost (measured by total charges). We find that deviating from preferred assignments is beneficial for task types (patients' diagnosis in our setting) that are either (a) well-defined (improving operational efficiency and costs), or (b) require high contact (improving costs and adverse events, though at the expense of lower operational efficiency). For other task types (e.g., highly complex or resource-intensive tasks), we observe that deviations are either detrimental or yield no tangible benefits, and thus, hospitals should try to eliminate them (e.g., by developing and enforcing assignment guidelines). To understand the causal mechanism behind our results, we make use of mediation analysis and find that utilizing advanced imaging (e.g., MRIs, CT scans, or nuclear radiology) plays an important role in how deviations impact performance outcomes. Our findings also provide evidence for a "no free lunch" theorem: while for some task types, deviations are beneficial for certain performance outcomes, they can simultaneously degrade performance in terms of other dimensions. To provide clear recommendations for hospital administrators, we also consider counterfactual scenarios corresponding to imposing the preferred assignments fully or partially, and perform cost-effectiveness analyses. Our results indicate that enforcing the preferred assignments either for all tasks or only for resource-intensive tasks is cost-effective, with the latter being the superior policy. Finally, by comparing deviations during weekdays and weekends, early shifts and late shifts, and high congestion and low congestion periods, our results shed light on some environmental conditions under which deviations occur more in practice.

A Focused Review of Long-Stay Patients and the Ethical Imperative to Provide Inpatient Continuity

Long-stay patients are an impactful, vulnerable, growing group of inpatients in today's (and tomorrow's) tertiary hospitals. They can outlast dozens of clinicians that necessarily rotate on and off clinical service. Yet, care from such rotating clinicians can result in fragmented care due to a lack of continuity that insufficiently meets the needs of these patients and their families. Using long-stay PICU patients as an example, this focused review discusses the impact of prolonged admissions and how our fragmented care can compound this impact. It also argues that it is an ethical imperative to provide a level of continuity of care beyond what is considered standard of care and offers a number of strategies that can provide such continuity.

Validation of the HOSPITAL score as predictor of 30-day potentially avoidable readmissions in pediatric hospitalized population: retrospective cohort study

Potentially avoidable pediatric readmissions are a burden to patients and their families. Identifying patients with higher risk of readmission could help minimize hospital costs and facilitate the targeting of care interventions. HOSPITAL score is a tool developed and widely used to predict adult patient's readmissions; however its predictive capacity for pediatric readmissions has not yet been evaluated. The aim of the study was to validate the HOSPITAL score application to predict 30-day potentially avoidable readmissions in a pediatric hospitalized population. This is a retrospective cohort study with patients under 18 years old admitted to a tertiary university hospital (n = 6,344). The HOSPITAL score was estimated for each admission. Subsequently, we classified the patients as low (0-4), intermediate (5-6), and high (7-12) risk groups. In order to estimate the discrimination power, the sensitivity, specificity, and accuracy were determined by the receiver operating characteristics (ROC) and the calibration by the Hosmer-Lemeshow goodness-of-fit. The 30-day hospital readmission was 11.70% (745). The accuracy was 0.80 (CI 95%, 0.77, 0.83), with a sensitivity of 70.96% and specificity of 78.29%, and a good calibration (p = 0.34).    Conclusion: HOSPITAL score showed a good discrimination and can be used to predict 30-day potentially avoidable readmission in a large pediatric population with different medical diagnoses. Our study validates and expands the usefulness of the HOSPITAL score as a tool to predict avoidable hospital readmissions for pediatric population. What is Known: •   Pediatric readmissions burden patients, the family network, and the health system. In addition, it influences negatively child development. •   The HOSPITAL score is one of the tools developed and widely used to identify patients at high risk of hospital readmission, but its predictive capacity for pediatric readmissions has not been yet assessed. What is New: • The HOSPITAL score showed good ability to identify a risk of 30-day potentially avoidable readmission in a pediatric population in different clinical contexts and diagnoses. • Our study expands the usefulness of the HOSPITAL score as a tool for predicting hospital readmissions for children and adolescents.

Causes & risk factors for unscheduled readmissions in the paediatric ward of a major public hospital

Background & objectives

Readmissions are often considered as an indicator of poor quality of care during previous hospitalization, although many of these are unavoidable or unrelated to the past admission. The identification of high-risk cases for readmissions and appropriate interventions will help not only reduce the hospital burden but also to establish the credibility of the hospital. So this study aimed to determine the readmission percentage in the paediatric wards of a tertiary care hospital and to identify the reasons and risk factors that can help minimize preventable re-hospitalizations.

Methods

This prospective study from a public hospital included 563 hospitalized children, classified as first admission or readmissions. Readmissions were defined as one or more hospitalizations within preceding six months, excluding scheduled admissions for investigations or treatment. Reason-wise, the readmissions were classified into various categories, based on the opinion of three paediatricians.

Results

The percentage of children getting readmitted within six, three and one month time from the index admission was 18.8, 11.1 and 6.4 per cent, respectively. Among readmissions, 61.2 per cent were disease-related, 16.5 per cent unrelated, 15.5 per cent patient-related, 3.8 per cent medication/procedure-related and 2.9 per cent physician-related causes. Patient- and physician-related causes were deemed preventable, contributing to 18.4 per cent. The proximity of residence, undernutrition, poor education of the caretaker and non-infectious diseases were associated with increased risk of readmission.

Interpretation & conclusions

The findings of this study suggest that readmissions pose a substantial burden on the hospital services. The primary disease process and certain sociodemographic factors are the major determinants for the increased risk of readmissions among paediatric patients.

NICU Parents of Black Preterm Infants: Application of the Kenner Transition Model

BACKGROUND

Black infants in the United States have the highest incidence of both infant mortality (IM) and preterm birth among all racial/ethnic groups. The IM disparity for Black preterm infants often occurs after neonatal intensive care unit (NICU) discharge, when parents become the primary caregivers. The revised Kenner Transition Model (KTM) is situation specific and comprised 5 interrelated domains of parental need after NICU discharge that have not been previously applied to the transition from NICU to home of Black infants.

PURPOSE

This study's purpose was to explore the conceptual fit of parental readiness to care for their Black preterm infants after NICU discharge with the revised KTM.

METHODS

A qualitative descriptive research approach was used for this single-site study of NICU parents of Black preterm infants. Qualitative analysis of 10 parents' perceptions before NICU discharge was via semantic content analysis; data were organized into categories aligned with the KTM. The Transition Questionnaire (TQ), an adjunct to the KTM, provided self- report quantitative data.

RESULTS

All parents endorsed the "Information Needs," "Stress and Coping," and "Professional Support" domains of the KTM. Parent TQ responses indicated perceptions of moderate to high levels of home transition readiness after NICU discharge.

IMPLICATIONS FOR PRACTICE AND RESEARCH

The domains of the revised KTM were affirmed by parents of Black preterm infants in this study via coded interview and TQ responses. Additional study exploring the clinical assessment of transition readiness with theoretical grounding in diverse NICU families is warranted.

VIDEO ABSTRACT AVAILABLE AT

https://journals.lww.com/advancesinneonatalcare/Pages/videogallery.aspx .

Assessment of neuromonitoring use and postoperative readmission rates in pediatric Chiari I malformation with syrinx

INTRODUCTION

While operative intervention for Chiari malformation type I (CMI) with syringomyelia is well established, there is limited data on outcomes of intraoperative neuromonitoring (IONM). This study sought to explore differences in procedural characteristics and their effects on postoperative readmission rates.

METHODS

The Nationwide Readmission Database was queried from 2010 to 2014 for patients ≤ 18 years of age with CMI and syringomyelia who underwent cranial decompression or spinal decompression. Demographics, hospital characteristics, and outcomes were analyzed.

RESULTS

Over the 5-year period, 2789 patients were identified that underwent operative treatment for CMI with syringomyelia. Mean age was 10 ± 4 years with 55% female. During their index hospitalization 14% of the patients had IONM. Patients receiving IONM had no significant difference in Charleston Comorbidity Index ≥ 1 (16% vs. 15% without, p = 0.774). IONM was more often used in those with private insurance (63% vs. 58% without, p = 0.0004) and less likely in those with Medicaid (29% vs. 37% without, p = 0.004). Patients receiving IONM were more likely to have a postoperative complication (23% vs 17%, p = 0.004) and were more likely to have hospital lengths of stay > 7 days (9% vs. 5% without, p = 0.005). Readmission rates for CMI were 9% within 30 days and 15% within the year. The majority (89%) of readmissions were unplanned. 25% of readmissions were for infection and 27% of readmissions underwent a CMI reoperation. The 30-day readmission rate was higher for those with IONM (12% vs. 8% without, p = 0.010). Median cost for hospitalization was significantly higher for patients with IONM ($26,663 ($16,933-34,397)) vs. those without ($14,577 ($11,538-18,392)), p < 0.001.

CONCLUSION

The use of intraoperative neuromonitoring for operative repair of CMI is associated with higher postoperative complications and readmissions. In addition, there are disparities in its use and increased cost to the healthcare system. Further studies are needed to elucidate the factors underlying this association.

Characteristics and Outcomes of Children Discharged With Nasoenteral Feeding Tubes

OBJECTIVES

To describe the characteristics and outcomes of children discharged from the hospital with new nasoenteral tube (NET) use after acute hospitalization.

METHODS

Retrospective cohort study using multistate Medicaid data of children <18 years old with a claim for tube feeding supplies within 30 days after discharge from a nonbirth hospitalization between 2016 and 2019. Children with a gastrostomy tube (GT) or requiring home NET use in the 90 days before admission were excluded. Outcomes included patient characteristics and associated diagnoses, 30-day emergency department (ED-only) return visits and readmissions, and subsequent GT placement.

RESULTS

We identified 1815 index hospitalizations; 77.8% were patients ≤5 years of age and 81.7% had a complex chronic condition. The most common primary diagnoses associated with index hospitalization were failure to thrive (11%), malnutrition (6.8%), and acute bronchiolitis (5.9%). Thirty-day revisits were common (49%), with 26.4% experiencing an ED-only return and 30.9% hospital readmission. Revisits with a primary diagnosis code for tube displacement/dysfunction (10.7%) or pneumonia/pneumonitis (0.3%) occurred less frequently. A minority (16.9%) of patients progressed to GT placement within 6 months, 22.3% by 1 year.

CONCLUSIONS

Children with a variety of acute and chronic conditions are discharged from the hospital with NET feeding. All-cause 30-day revisits are common, though revisits coded for specific tube-related complications occurred less frequently. A majority of patients do not progress to GT within a year. Home NET feeding may be useful for facilitating discharge among patients unable to meet their oral nutrition goals but should be weighed against the high revisit rate.

Development and Validation of an Integrated Suite of Prediction Models for All-Cause 30-Day Readmissions of Children and Adolescents Aged 0 to 18 Years

IMPORTANCE

Readmission is often considered a hospital quality measure, yet no validated risk prediction models exist for children.

OBJECTIVE

To develop and validate a tool identifying patients before hospital discharge who are at risk for subsequent readmission, applicable to all ages.

DESIGN, SETTING, AND PARTICIPANTS

This population-based prognostic analysis used electronic health record-derived data from a freestanding children's hospital from January 1, 2016, to December 31, 2019. All-cause 30-day readmission was modeled using 3 years of discharge data. Data were analyzed from June 1 to November 30, 2021.

MAIN OUTCOMES AND MEASURES

Three models were derived as a complementary suite to include (1) children 6 months or older with 1 or more prior hospitalizations within the last 6 months (recent admission model [RAM]), (2) children 6 months or older with no prior hospitalizations in the last 6 months (new admission model [NAM]), and (3) children younger than 6 months (young infant model [YIM]). Generalized mixed linear models were used for all analyses. Models were validated using an additional year of discharges.

RESULTS

The derivation set contained 29 988 patients with 48 019 hospitalizations; 50.1% of these admissions were for children younger than 5 years and 54.7% were boys. In the derivation set, 4878 of 13 490 admissions (36.2%) in the RAM cohort, 2044 of 27 531 (7.4%) in the NAM cohort, and 855 of 6998 (12.2%) in the YIM cohort were followed within 30 days by a readmission. In the RAM cohort, prior utilization, current or prior procedures indicative of severity of illness (transfusion, ventilation, or central venous catheter), commercial insurance, and prolonged length of stay (LOS) were associated with readmission. In the NAM cohort, procedures, prolonged LOS, and emergency department visit in the past 6 months were associated with readmission. In the YIM cohort, LOS, prior visits, and critical procedures were associated with readmission. The area under the receiver operating characteristics curve was 83.1 (95% CI, 82.4-83.8) for the RAM cohort, 76.1 (95% CI, 75.0-77.2) for the NAM cohort, and 80.3 (95% CI, 78.8-81.9) for the YIM cohort.

CONCLUSIONS AND RELEVANCE

In this prognostic study, the suite of 3 prediction models had acceptable to excellent discrimination for children. These models may allow future improvements in tailored discharge preparedness to prevent high-risk readmissions.

Functional Status and Hospital Readmission After Pediatric Critical Disease: A Year Follow-Up

OBJECTIVES

To evaluate the association between pediatric functional status at hospital discharge after PICU admission and hospital readmission within 1 year.

DESIGN

Prospective longitudinal study.

SETTING

Two PICUs in tertiary hospitals in South Brazil.

PATIENTS

Children and adolescents admitted to the PICU.

INTERVENTIONS

None.

MEASUREMENTS AND MAIN RESULTS

We evaluated the following: clinical and sociodemographic characteristics, functional status using the Functional Status Scale-Brazil (FSS-Brazil) at baseline and at hospital discharge, and hospital readmission within 1 year. Hospital readmission risk was associated with possible related factors using Cox regression to estimate the hazard ratio (HR). A total of 196 patients completed the follow-up. At hospital discharge, 39.3% of children had some degree of decline in FSS-Brazil, and 38.3% had at least one nonelective hospital readmission within 1 year. FSS-Brazil rating at hospital discharge was associated with the risk of hospital readmission within 1 year (HR, 1.698; 95% CI, 1.016-2.838).

CONCLUSION

FSS-Brazil rating at hospital discharge, age, and length of stay were associated with greater hazard of nonelective hospital readmission within 1 year of discharge.

Incidence of Readmission Following Pediatric Hand Surgery: An Analysis of 6600 Patients

Background

Quality in surgical outcomes is frequently assessed by the 30-day readmission rate. There are limited data available in the published literature regarding readmission rates following pediatric hand surgery. This study aims to identify factors associated with an increased risk of readmission following hand surgery in a pediatric population.

Methods

The 2012-2017 National Surgical Quality Improvement Project - Pediatric (NSQIP-P) databases were queried for pediatric patients who underwent procedures with hand-specific current procedural terminology (CPT) codes. The primary outcome was readmission.

Results

A total of 6600 pediatric patients were identified and included in the analysis. There were 45 patients who were readmitted in the study cohort, giving an overall readmission rate of 0.68%. The median time to readmission was 12 (IQR 5-20) days. On univariate analysis, factors associated with readmission included younger age, smaller size, prematurity, higher American Society of Anesthesiologists (ASA) class, inpatient admission at index operation, and longer anesthesia and operative times. Complex syndactyly repair was also associated with higher readmission rates. On multivariate analysis, ASA class 3 or 4 and inpatient surgery remained significant predictors of readmission.

Conclusions

Overall, pediatric hand surgery is associated with a very low risk of 30-day readmission. Higher ASA class and inpatient surgery increase patients' risk for readmission. In particular, complex syndactyly repair is associated with a higher risk of readmission than other hand procedures. This information is useful in surgical planning and preoperative counseling of parents.

Outcomes for Children With Pulmonary Hypertension Undergoing Tracheostomy Placement: A Multi-Institutional Analysis

OBJECTIVES

To describe epidemiology, interventions, outcomes, and the health services experience for a cohort of children with pulmonary hypertension (PH) who underwent tracheostomy placement and to identify risk factors for inhospital mortality and 30-day readmissions.

DESIGN

Retrospective cohort study of the Pediatric Health Information System database.

SETTING

Thirty-seven freestanding U.S. children's hospitals.

PATIENTS

Patients 31 days to 21 years old who were discharged from the hospital between January 1, 2009, and December 31, 2017, with a diagnosis of primary or secondary PH, and who underwent tracheostomy placement. Outcomes were examined over a 2-year period from the time of discharge from the index encounter.

INTERVENTIONS

None.

MEASUREMENTS AND MAIN RESULTS

There were 793 patients with PH who underwent tracheostomy placement. The overall inhospital mortality rate was 23.7%. Secondary PH due to congenital heart disease (CHD) was significantly associated with overall inhospital mortality (adjusted odds ratio [OR], 2.36; 95% CI, 1.38-4.04). The rate of 30-day readmissions for patients over the 2-year follow-up period was 33.3%. Tracheostomy during the index encounter and the diagnosis of secondary PH due to CHD were significantly associated with lower rates of 30-day readmissions (adjusted OR, 0.34; 95% CI, 0.19-0.61; and adjusted OR, 0.43; 95% CI, 0.24-0.77, respectively).

CONCLUSIONS

In the context of expanding utilization of tracheostomy and long-term ventilation, children with PH are among the highest risk cohorts for extended and repeated hospitalization and death. Tracheostomy placement during the index encounter was associated with fewer 30-day readmissions over the 2-year follow-up period. Further understanding of which subgroups may benefit from earlier intervention and which subgroups are at highest risk may offer important clinical insight when considering optimal timing of tracheostomy and may enhance informed decision-making for all stakeholders.

Effect of mother's knowledge on posteducation toward rehospitalization of young children with pneumonia†

Objective

The rehospitalization rate of children <5 years old with pneumonia is still high. The risk of hospitalization becomes higher in mothers with low knowledge of their child's disease. The purpose of this study was to determine the effect of post–health-education maternal knowledge in cases of rehospitalization and to determine the differences in rehospitalization rate based on the type of health education media.

Methods

This study is a quasi-experiment. Health education was given to both groups: one group received education through audiovisual media and the other group through leaflet media. The level of post–health-education knowledge was measured on the third day, then followed up until the 30th day after the patient was discharged from the hospital.

Results

Post–health-education knowledge significantly reduced the cases of rehospitalization in both groups. However, the rehospitalization rate in the audiovisual group was lower than in the leaflet group (P = 0.047, odds ratio = 5.870).

Conclusions

Post–health-education knowledge is effective in reducing the risk of rehospitalization, and health education using audiovisual media is more effective, compared to health education using leaflets, in reducing the cases of rehospitalization in children <5 years of age with pneumonia.

Performance Characteristics of a Machine-Learning Tool to Predict 7-Day Hospital Readmissions

OBJECTIVES

To develop an institutional machine-learning (ML) tool that utilizes demographic, socioeconomic, and medical information to stratify risk for 7-day readmission after hospital discharge; assess the validity and reliability of the tool; and demonstrate its discriminatory capacity to predict readmissions.

PATIENTS AND METHODS

We performed a combined single-center, cross-sectional, and prospective study of pediatric hospitalists assessing the face and content validity of the developed readmission ML tool. The cross-sectional analyses used data from questionnaire Likert scale responses regarding face and content validity. Prospectively, we compared the discriminatory capacity of provider readmission risk versus the ML tool to predict 7-day readmissions assessed via area under the receiver operating characteristic curve analyses.

RESULTS

Overall, 80% (15 of 20) of hospitalists reported being somewhat to very confident with their ability to accurately predict readmission risk; 53% reported that an ML tool would influence clinical decision-making (face validity). The ML tool variable exhibiting the highest content validity was history of previous 7-day readmission. Prospective provider assessment of risk of 413 discharges showed minimal agreement with the ML tool (κ = 0.104 [95% confidence interval 0.028-0.179]). Both provider gestalt and ML calculations poorly predicted 7-day readmissions (area under the receiver operating characteristic curve: 0.67 vs 0.52; P = .11).

CONCLUSIONS

An ML tool for predicting 7-day hospital readmissions after discharge from the general pediatric ward had limited face and content validity among pediatric hospitalists. Both provider and ML-based determinations of readmission risk were of limited discriminatory value. Before incorporating similar tools into real-time discharge planning, model calibration efforts are needed.

Explainable machine learning models for predicting 30-day readmission in pediatric pulmonary hypertension: A multicenter, retrospective study

Background

Short-term readmission for pediatric pulmonary hypertension (PH) is associated with a substantial social and personal burden. However, tools to predict individualized readmission risk are lacking. This study aimed to develop machine learning models to predict 30-day unplanned readmission in children with PH.

Methods

This study collected data on pediatric inpatients with PH from the Chongqing Medical University Medical Data Platform from January 2012 to January 2019. Key clinical variables were selected by the least absolute shrinkage and the selection operator. Prediction models were selected from 15 machine learning algorithms with excellent performance, which was evaluated by area under the operating characteristic curve (AUC). The outcome of the predictive model was interpreted by SHapley Additive exPlanations (SHAP).

Results

A total of 5,913 pediatric patients with PH were included in the final cohort. The CatBoost model was selected as the predictive model with the greatest AUC for 0.81 (95% CI: 0.77–0.86), high accuracy for 0.74 (95% CI: 0.72–0.76), sensitivity 0.78 (95% CI: 0.69–0.87), and specificity 0.74 (95% CI: 0.72–0.76). Age, length of stay (LOS), congenital heart surgery, and nonmedical order discharge showed the greatest impact on 30-day readmission in pediatric PH, according to SHAP results.

Conclusions

This study developed a CatBoost model to predict the risk of unplanned 30-day readmission in pediatric patients with PH, which showed more significant performance compared with traditional logistic regression. We found that age, LOS, congenital heart surgery, and nonmedical order discharge were important factors for 30-day readmission in pediatric PH.

Variation in Condition-Specific Readmission Rates Across US Children's Hospitals

OBJECTIVE

Despite extensive efforts, overall readmission rates at US children's hospitals have not materially declined over the past decade, raising questions about how to direct future efforts. Using measures of prevalence and performance variation we describe readmission rates by condition and identify priority conditions for future intervention.

METHODS

Retrospective cohort study of 49 US children's hospitals in the Pediatric Health Information System in 2017. Conditions were classified using All Patients Refined Diagnosis Related Groups. 30-day unadjusted and risk-adjusted readmission rates were calculated for each hospital/condition using the Pediatric All Cause Readmission measure. We ranked the highest volume conditions by rate variation (RV, interquartile range divided by the median) for each condition across hospitals.

RESULTS

The sample included 811,434 index hospitalizations with 50,196 (6.2%) 30-day readmissions. The RV across hospitals/conditions was between 0 and 2.8 (median = 0.7). Common reasons for admission had low RVs across hospitals, for example, bronchiolitis (readmission rate = 5.6%, RV = 0.4), seizure (readmission rate = 6.6%, RV = 0.3), and asthma (readmission rate = 3.1%, RV = 0.4). We identified 33 conditions with high variation in readmission rates across hospitals, which accounted for 18% of all discharges and 11% of all pediatric readmissions. These conditions may serve as candidates for future readmission reduction activities.

CONCLUSIONS

Many common childhood conditions have little variation in readmission rates across children's hospitals, suggesting limited future improvement opportunities. Conditions with high rate variation may provide opportunities for quality improvement; however, these conditions account for a relatively small share of total discharges suggesting modest potential impacts on national rates.

Validation of Neurologic Impairment Diagnosis Codes as Signifying Documented Functional Impairment in Hospitalized Children

OBJECTIVE

To assess the performance of previously published high-intensity neurologic impairment (NI) diagnosis codes in identification of hospitalized children with clinical NI.

METHODS

Retrospective study of 500 randomly selected discharges in 2019 from a freestanding children's hospital. All charts were reviewed for 1) NI discharge diagnosis codes and 2) documentation of clinical NI (a neurologic diagnosis and indication of functional impairment like medical technology). Test statistics of clinical NI were calculated for discharges with and without an NI diagnosis code. A sensitivity analysis varied the threshold for "substantial functional impairment." Secondary analyses evaluated misclassified discharges and a more stringent definition for NI.

RESULTS

Diagnosis codes identified clinically documented NI with 88.1% (95% confidence interval [CI]: 84.7, 91) specificity, and 79.4% (95% CI: 67.3, 88.5) sensitivity; negative predictive value (NPV) was 96.7% (95% CI: 94.8, 98.0), and positive predictive value (PPV) was 49% (95% CI: 42, 56.1). Including children with milder functional impairment (lower threshold) resulted in NPV of 95.7% and PPV of 77.5%. Restricting to children with more severe functional impairment (higher threshold) resulted in NPV of 98.2% and PPV of 44.1%. Misclassification was primarily due to inclusion of children without functional impairments. A more stringent NI definition including diagnosis codes for NI and feeding tubes had a specificity of 98.4% (95% CI: 96.7-99.3) and sensitivity of 28.6% (19.4-41.3).

CONCLUSIONS

All scenarios evaluated demonstrated high NPV and low-to-moderate PPV of the diagnostic code list. To maximize clinical utility, NI diagnosis codes should be used with strategies to mitigate the risk of misclassification.

Associations between comorbidity-related functional limitations and pneumonia outcomes

BACKGROUND

Underlying comorbidities are common in children with pneumonia.

OBJECTIVE

To determine associations between comorbidity-related functional limitations and risk for severe pneumonia outcomes.

DESIGN, SETTING, AND PARTICIPANTS

We prospectively enrolled children <18 years with and without comorbidities presenting to the emergency department with clinical and radiographic pneumonia at two institutions. Comorbidities included chronic conditions requiring daily medications, frequent healthcare visits, or which limited age-appropriate activities. Among children with comorbidities, functional limitations were defined as none or mild, moderate, and severe.

MAIN OUTCOMES AND MEASURES

Outcomes included an ordinal severity outcome, categorized as very severe (mechanical ventilation, shock, or death), severe (intensive care without very severe features), moderate (hospitalization without severe features), or mild (discharged home), and length of stay (LOS). Multivariable ordinal logistic regression was used to examine associations between comorbidity-related functional limitations and outcomes, while accounting for relevant covariates.

RESULTS

A cohort of 1116 children, including 452 (40.5%) with comorbidities; 200 (44.2%) had none or mild functional limitations, 93 (20.6%) moderate, and 159 (35.2%) had severe limitations. In multivariable analysis, comorbidity-related functional limitations were associated with the ordinal severity outcome and LOS (p < .001 for both). Children with severe functional limitations had tripling of the odds of a more severe ordinal (adjusted odds ratio [aOR]: 3.01, 95% confidence interval [2.05, 4.43]) and quadrupling of the odds for longer LOS (aOR: 4.72 [3.33, 6.70]) as compared to children without comorbidities.

CONCLUSION

Comorbidity-related functional limitations are important predictors of disease outcomes in children with pneumonia. Consideration of functional limitations, rather than the presence of comorbidity alone, is critical when assessing risk of severe outcomes.

Safe care transitions for patients receiving parenteral nutrition

Transitions of care require coordination between inpatient healthcare providers, care managers, outpatient/ambulatory providers, and the patient/caregiver and family members. Poor communication during transitions of care can affect health outcomes and economic costs for patients/caregivers, healthcare providers, and healthcare systems. The goal of this paper is to identify risk-prone processes in the transition of care for patients requiring parenteral nutrition (PN) between healthcare environments, including the hospital, home, skilled nursing facility, and long-term acute care hospital settings. To facilitate the evaluation of the transition, a sequential series of steps in the transition process were identified: initial notification, assessment in preparation for transfer, identifying the receiving organization, identifying accountable providers at each sending/receiving organization, communicating the nutrition care plan, implementing the plan and additional considerations regarding PN preparation and readmissions. Safety concerns with risk-prone processes are identified and recommended best practices are proposed for improving processes at each step of the transition. Pediatric considerations are included in the evaluation of the various steps in the transition of care. This paper was approved by the American Society for Parenteral and Enteral Nutrition (ASPEN) Board of Directors.

Association of Neighborhood Resources and Race and Ethnicity With Readmissions for Diabetic Ketoacidosis at US Children's Hospitals

Importance

The Child Opportunity Index 2.0 (COI) assesses neighborhood resources and conditions that influence health. It is unclear whether the COI scores are associated with health outcomes by race and ethnicity among children with type 1 diabetes (T1D).

Objective

To determine whether COI categories are associated with diabetes-related outcomes by race and ethnicity, including readmissions for diabetic ketoacidosis (DKA) and co-occurring acute kidney injury (AKI) or cerebral edema (CE).

Design, Setting, and Participants

This cross-sectional study included children discharged with a primary diagnosis of T1D with DKA between January 1, 2009, and December 31, 2018. Merged data were obtained from the Pediatric Health Information System and COI. Participants included children and adolescents younger than 21 years with an encounter for DKA. Data were analyzed from April 29, 2021, to January 5, 2022.

Exposures

Neighborhood opportunity, measured with the COI as an ordered, categorical score (where a higher score indicates more opportunity), and race and ethnicity.

Main Outcomes and Measures

The primary outcome was readmission for DKA within 30 and 365 days from an index visit. Secondary outcomes included the proportion of encounters with AKI or CE. Mixed-effects logistic regression was used to generate probabilities of readmission, AKI, and CE for each quintile of COI category by race and ethnicity.

Results

A total of 72 726 patient encounters were identified, including 38 924 (53.5%) for girls; the median patient age was 13 (IQR, 9-15) years. In terms of race and ethnicity, 600 (0.8%) of the encounters occurred in Asian patients, 9969 (13.7%) occurred in Hispanic patients, 16 876 (23.2%) occurred in non-Hispanic Black (hereinafter Black) patients, 40 129 (55.2%) occurred in non-Hispanic White (hereinafter White) patients, and 5152 (7.1%) occurred in patients of other race or ethnicity. The probability of readmission within 365 days was significantly higher among Black children with a very low COI category compared with Hispanic children (risk difference, 7.8 [95% CI, 6.0-9.6] percentage points) and White children (risk difference, 7.5 [95% CI, 5.9-9.1] percentage points) at the same COI category. Similar differences were seen for children with very high COI scores and across racial groups. The COI category was not associated with AKI or CE. However, race and ethnicity constituted a significant factor associated with AKI across all COI categories. The probability of AKI was 6.8% among Black children compared with 4.2% among Hispanic children (risk difference, 2.5 [95% CI, 1.7-3.3] percentage points) and 4.8% among White children (risk difference, 2.0 [95% CI, 1.3-2.6] percentage points).

Conclusions and Relevance

These results suggest that Black children with T1D experience disparities in health outcomes compared with other racial and ethnic groups with similar COI categories. Measures to prevent readmissions for DKA should include interventions that target racial disparities and community factors.

Parent Protector: Perceptions of NICU-to-Home Transition Readiness for NICU Parents of Black Preterm Infant

Black infants have twice the incidence of infant mortality (IM), death before the first birthday, and preterm birth in comparison to other US racial/ethnic groups; these factors make Black infants a high-risk group. The literature on the factors impacting caregivers and home environments for these infants is sparse. The purpose of this descriptive qualitative study was to explore perceived parental readiness to care for their Black preterm infants at home after discharge from a neonatal intensive care unit (NICU). Ten NICU parents of Black preterm infants completed a structured interview and self-report questionnaires before hospital discharge; data were analyzed using descriptive and semantic content methods. Coded parent responses were categorized as Parent Protector of Infants' Health (n = 94, 29.2%); Hindrances to Parental Readiness for Transition to Home (n = 97, 30.1%), and Parent as Partner in NICU to Home Transition (n = 131, 40.6%). All parents rated themselves "confident" (n = 6) or "very confident" (n = 4) in their ability to care for their infant after NICU discharge. Partnership with the healthcare team was described as involving health information resources, effective communication, and, most importantly, support for the parental role as infant protector for transition to home for their high-risk infant after NICU discharge.

Impact of COVID-19 on Admissions and Outcomes for Children With Complex Chronic Conditions

BACKGROUND

Although pediatric health care use declined during the coronavirus disease 2019 (COVID-19) pandemic, the impact on children with complex chronic conditions (CCCs) has not been well reported.

OBJECTIVE

To describe the impact of the pandemic on inpatient use and outcomes for children with CCCs.

METHODS

This multicenter cross-sectional study used data from the Pediatric Health Information System. We examined trends in admissions between January 2020 through March 2021, comparing them to the same timeframe in the previous 3 years (pre-COVID-19). We used generalized linear mixed models to examine the association of the COVID-19 period and outcomes for children with CCCs presenting between March 16, 2020 to March 15, 2021 (COVID-19 period) to the same timeframe in the previous 3 years (pre-COVID-19).

RESULTS

Children with CCCs experienced a 19.5% overall decline in admissions during the COVID-19 pandemic. Declines began in the second week of March of 2020, reaching a nadir in early April 2020. Changes in admissions varied over time and by admission indication. Children with CCCs hospitalized for pneumonia and bronchiolitis experienced overall declines in admissions of 49.7% to 57.7%, whereas children with CCCs hospitalized for diabetes experienced overall increases in admissions of 21.2%. Total and index length of stay, costs, and ICU use, although statistically higher during the COVID-19 period, were similar overall to the pre-COVID-19 period.

CONCLUSIONS

Total admissions for children with CCCs declined nearly 20% during the pandemic. Among prevalent conditions, the greatest declines were observed for children with CCCs hospitalized with respiratory illnesses. Despite declines in admissions, overall hospital-level outcomes remained similar.

Factors Related to Pediatric Readmissions of Four Major Diagnostic Categories in Hawai`i

Readmissions are a key quality measure for health care decision making and understanding variables associated with readmissions has become a crucial research area. This study identified patient-level factors that might be associated with pediatric readmissions using a database that included inpatient data from 2008 to 2017 from Hawai`i. Four major diagnostic categories with the most pediatric readmissions in the state were identified: respiratory, digestive, mental, and nervous system diseases and disorders. The associations between readmission and patient-level variables, such as age, sex, race/ethnicity, insurance status, and Charlson Comorbidity Index (CCI), were determined for each diagnosis and for overall readmissions. CCI and insurance were the strongest predictors when all diagnoses were combined. However, for some diagnoses, there was weak or no association between CCI, insurance, and readmission. This suggests that diagnosis-specific analysis of predictors of readmission may be more useful than looking at predictors of readmission for all diagnoses combined. While this study focused on patient variables, future studies should also incorporate how hospital variables may also be related to diagnosis.

Disease Severity and Risk Factors of 30-Day Hospital Readmission in Pediatric Hospitalizations for Pneumonia

Pneumonia is the leading cause of hospitalization in pediatric patients. Disease severity greatly influences pneumonia progression and adverse health outcomes such as hospital readmission. Hospital readmissions have become a measure of healthcare quality to reduce excess expenditures. The aim of this study was to examine 30-day all-cause readmission rates and evaluate the association between pneumonia severity and readmission among pediatric pneumonia hospitalizations. Using 2018 Nationwide Readmissions Database (NRD), we conducted a cross-sectional study of pediatric hospitalizations for pneumonia. Pneumonia severity was defined by the presence of respiratory failure, sepsis, mechanical ventilation, dependence on long-term supplemental oxygen, and/or respiratory intubation. Outcomes of interest were 30-day all-cause readmission, length of stay, and cost. The rate of 30-day readmission for the total sample was 5.9%, 4.7% for non-severe pneumonia, and 8.7% for severe pneumonia (p < 0.01). Among those who were readmitted, hospitalizations for severe pneumonia had a longer length of stay (6.5 vs. 5.4 days, p < 0.01) and higher daily cost (USD 3246 vs. USD 2679, p < 0.01) than admissions for non-severe pneumonia. Factors associated with 30-day readmission were pneumonia severity, immunosuppressive conditions, length of stay, and hospital case volume. To reduce potentially preventable readmissions, clinical interventions to improve the disease course and hospital system interventions are necessary.

Medication Order Errors at Hospital Admission Among Children With Medical Complexity

OBJECTIVES

We sought to characterize the nature and prevalence of medication order errors (MOEs) occurring at hospital admission for children with medical complexity (CMC), as well as identify the demographic and clinical risk factors for CMC experiencing MOEs.

METHODS

Prospective cohort study of 1233 hospitalizations for CMC from November 1, 2015, to October 31, 2016, at 2 children's hospitals. Medication order errors at admission were identified prospectively by nurse practitioners and a pharmacist through direct patient care. The primary outcome was presence of at least one MOE at hospital admission. Statistical methods used included χ2 test, Fisher exact tests, and generalized linear mixed models.

RESULTS

Overall, 6.1% (n = 75) of hospitalizations had ≥1 MOE occurring at admission, representing 112 total identified MOEs. The most common MOEs were incorrect dose (41.1%) and omitted medication (34.8%). Baclofen and clobazam were the medications most commonly associated with MOEs. In bivariable analyses, MOEs at admission varied significantly by age, assistance with medical technology, and numbers of complex chronic conditions and medications (P < 0.05). In multivariable analysis, patients receiving baclofen had the highest adjusted odds of MOEs at admission (odds ratio, 2.2 [95% confidence interval, 1.2-3.8]).

CONCLUSIONS

Results from this study suggest that MOEs are common for CMC at hospital admission. Children receiving baclofen are at significant risk of experiencing MOEs, even when orders for baclofen are correct. Several limitations of this study suggest possible undercounting of MOEs during the study period. Further investigation of medication reconciliation processes for CMC receiving multiple chronic, home medications is needed to develop effective strategies for reducing MOEs in this vulnerable population.

Family-Rated Pediatric Health Status Is Associated With Unplanned Health Services Use

OBJECTIVE

Self-rated health is a common self-reported health measure associated with morbidity, mortality, and health care use. The objective was to investigate the association of family-rated health status (FRH) in pediatric care with administrative indicators, patient and respondent features, and unplanned health services use.

PATIENTS AND METHODS

Data were taken from Child-Hospital Consumer Assessment of Healthcare Providers and Systems surveys collected between 2015 and 2019 in Alberta, Canada and linked with administrative health records. Three analyses were performed: correlation to assess association between administrative indicators of health status and FRH, logistic regression to assess respondent and patient characteristics associated with FRH, and automated logistic regression to assess the association between FRH and unplanned health services use within 90 days of discharge.

RESULTS

A total of 6236 linked surveys were analyzed. FRH had small but significant associations with administrative indicators. Models of FRH had better fit with patient and respondent features. Respondent relationship to child, child age, previous hospitalizations, and number of comorbidities were significantly associated with ratings of FRH. Automated models of unplanned services use included FRH as a feature, and poor ratings of health were associated with increased odds of emergency department visits (adjusted odds ratio: 2.15, 95% confidence interval: 1.62-2.85) and readmission (adjusted odds ratio: 2.48, 95% confidence interval: 1.62-2.85).

CONCLUSION

FRH is a simple, single-item global rating of health for pediatric populations that provides accessible and useful information about pediatric health care needs. The results of this article serve as a reminder that family members are valuable sources of information that can improve care and potentially prevent unplanned health services use.