Factors Associated with Inhaled Bronchodilator and Oral Corticosteroid Use in Young Children with First Lower Respiratory Tract Infection.

OBJECTIVES: To examine factors associated with claims for and potential overuse of inhaled bronchodilators (IBs) and oral corticosteroids (OCSs) for children <2 years old at first lower respiratory tract infections (LRTIs). STUDY DESIGN: Retrospective cohort study using Colorado All Payer Claims data from 2009 through 2019. Children with asthma were excluded. Primary outcomes were 1) IB and 2) OCS claims within 7 days of index LRTI. Primary predictors were previous IB or OCS claims for each outcome respectively. Covariates included demographics, atopy, family history of asthma, complex chronic conditions, prior inhaled corticosteroid claim, and location of index LRTI. Separate multivariable logistic regression models were used for each outcome. RESULTS: Of 10 194 eligible children, 1468 (14.4%) had an IB and 741 (7.3%) an OCS claim at or within 7 days of index LRTI. Index LRTIs were most often at outpatient visits (64%). Adjusting for covariates, prior IB prescription was associated with the IB outcome (aOR 1.9; 95% CI 1.3, 2.8), and prior OCS prescription was associated with the OCS outcome (AOR 2.2; 95% CI 1.7, 2.9). Other variables associated with either outcome included age, sex, insurance, location, and atopy. Prior inhaled corticosteroid claim, asthma family history, and complex chronic conditions were not associated with either outcome. CONCLUSIONS: This study identifies factors that might serve as opportunities for de-implementation strategies for IB and OCS overuse in young children with LRTI.

When to Transfer: Predictors of Pediatric High Flow Nasal Cannula Failure at a Community Hospital.

OBJECTIVES: To identify risk factors of high flow nasal cannula (HFNC) failure at a US pediatric hospital without a co-located ICU. METHODS: Retrospective cohort study of patients aged 0 to 18 years who were started on HFNC in the emergency department or inpatient unit at a community hospital over a 16-month period. Children with chronic medical conditions were excluded. Outcome was HFNC failure, defined as HFNC need greater than floor limit, noninvasive positive pressure, or mechanical ventilation. In bivariate analysis, we compared demographic and clinical factors between those with and without failure. We included variables in a multivariable model on the basis of statistical significance. We used Poisson regression with robust error variance to calculate the adjusted relative risk (aRR) of failure for each variable. RESULTS: Of 195 children, 51% had HFNC failure. In adjusted analysis, failure was higher in all age groups <12 months as compared with older children. For example, children aged 3 to 5 months had a higher risk of failure compared with patients 12 months or older (aRR 1.85, confidence interval [CI] 1.34-2.54). Patients with an asthma exacerbation had a higher risk of failure (aRR 1.39, CI 1.03-1.88). Patients whose respiratory rate or heart rate did not improve also had a higher risk of failure (aRR 1.73, CI 1.24-2.41; aRR 1.47, CI 1.14-1.90). CONCLUSIONS: Patients who were younger, had asthma, and did not have improved respiratory rate or heart rate after HFNC were more likely to experience HFNC failure.

Paid Family Caregiving for Children With Medical Complexity.

OBJECTIVES: We evaluated Colorado's paid family caregiver certified nursing assistant (CNA) program by assessing stakeholders' perceptions of the model's strengths and potential areas for improvement. METHODS: A professional bilingual research assistant conducted key informant interviews of English- and Spanish-speaking certified nursing assistant (CNA) family caregivers (FCs), primary care providers, and pediatric home health administrators of children with medical complexity in the family caregiver CNA program. Interview questions focused on the program's benefits, drawbacks, and implications for the child and caregiver's quality of life. Transcripts were coded and analyzed, and themes summarizing program benefits and disadvantages were identified. RESULTS: Semistructured interviews were completed by phone with 25 FCs, 10 home health administrators, and 10 primary care providers between September 2020 and June 2021. Overall, the program was highly valued and uniformly recommended for prospective families. Perceived benefits included: (1) fulfilling the desire to be a good parent, (2) providing stable and high-quality home health care, (3) benefitting the child's health and wellbeing, and (4) enhancing family financial stability. Perceived drawbacks included: (1) FCs experiencing mental and physical health burdens, (2) difficult access for some community members, (3) extraneous training requirements, and (4) low program visibility. CONCLUSIONS: Given the perceived benefits of the family CNA program, the model may be considered for future dissemination to other communities. However, additional research and program improvements are needed to help make this a more equitable and sustainable home health care model for children with medical complexity.

Improving the Quality of Written Discharge Instructions: A Multisite Collaborative Project.

BACKGROUND AND OBJECTIVES: Written discharge instructions help to bridge hospital-to-home transitions for patients and families, though substantial variation in discharge instruction quality exists. We aimed to assess the association between participation in an Institute for Healthcare Improvement Virtual Breakthrough Series collaborative and the quality of pediatric written discharge instructions across 8 US hospitals. METHODS: We conducted a multicenter, interrupted time-series analysis of a medical records-based quality measure focused on written discharge instruction content (0-100 scale, higher scores reflect better quality). Data were from random samples of pediatric patients (N = 5739) discharged from participating hospitals between September 2015 and August 2016, and between December 2017 and January 2020. These periods consisted of 3 phases: 1. a 14-month precollaborative phase; 2. a 12-month quality improvement collaborative phase when hospitals implemented multiple rapid cycle tests of change and shared improvement strategies; and 3. a 12-month postcollaborative phase. Interrupted time-series models assessed the association between study phase and measure performance over time, stratified by baseline hospital performance, adjusting for seasonality and hospital fixed effects. RESULTS: Among hospitals with high baseline performance, measure scores increased during the quality improvement collaborative phase beyond the expected precollaborative trend (+0.7 points/month; 95% confidence interval, 0.4-1.0; P < .001). Among hospitals with low baseline performance, measure scores increased but at a lower rate than the expected precollaborative trend (-0.5 points/month; 95% confidence interval, -0.8 to -0.2; P < .01). CONCLUSIONS: Participation in this 8-hospital Institute for Healthcare Improvement Virtual Breakthrough Series collaborative was associated with improvement in the quality of written discharge instructions beyond precollaborative trends only for hospitals with high baseline performance.

Collaborative to Increase Lethal Means Counseling for Caregivers of Youth With Suicidality.

BACKGROUND: The number of youth presenting to hospitals with suicidality and/or self-harm has increased substantially in recent years. We implemented a multihospital quality improvement (QI) collaborative from February 1, 2018 to January 31, 2019, aiming for an absolute increase in hospitals' mean rate of caregiver lethal means counseling (LMC) of 10 percentage points (from a baseline mean performance of 68% to 78%) by the end of the collaborative, and to evaluate the effectiveness of the collaborative on LMC, adjusting for secular trends. METHODS: This 8 hospital collaborative used a structured process of alternating learning sessions and action periods to improve LMC across hospitals. Electronic medical record documentation of caregiver LMC was evaluated during 3 phases: precollaborative, active QI collaborative, and postcollaborative. We used statistical process control to evaluate changes in LMC monthly. Following collaborative completion, interrupted time series analyses were used to evaluate changes in the level and trend and slope of LMC, adjusting for covariates. RESULTS: In the study, 4208 children and adolescents were included-1314 (31.2%) precollaborative, 1335 (31.7%) during the active QI collaborative, and 1559 (37.0%) postcollaborative. Statistical process control analyses demonstrated that LMC increased from a hospital-level mean of 68% precollaborative to 75% (February 2018) and then 86% (October 2018) during the collaborative. In interrupted time series analyses, there were no significant differences in LMC during and following the collaborative beyond those expected based on pre-collaborative trends. CONCLUSIONS: LMC increased during the collaborative, but the increase did not exceed expected trends. Interventions developed by participating hospitals may be beneficial to others aiming to improve LMC for caregivers of hospitalized youth with suicidality.

Association between early childhood lower respiratory tract infections and subsequent asthma.

OBJECTIVE: We examined the relationship between recurrent lower respiratory tract infections (LRTI) in young children and subsequent childhood asthma outcomes. METHODS: Retrospective cohort study using 2009-2017 Colorado All Payer Claims Database to assess 0- to 2-year-old children with visits due to LRTI and acute gastroenteritis (AGE). The primary exposure was number of LRTI visits prior to 2 years of age. Children with AGE served as the no LRTI comparator group. The primary outcome was incident asthma, defined by ICD-9 (490.XX) or ICD-10 (J45.9XX) codes, in the same children between 3 and 9 years of age. Multivariable accelerated failure time (AFT) models were used to estimate the effect of LRTI visits on median time to asthma diagnosis. Sensitivity analyses were performed using more conservative asthma diagnostic criteria and with hospitalized children only. RESULTS: Of 38,441 eligible subjects, 32,729 had ≥1 LRTI and 5,712 had AGE (no LRTI) between 0 and 2 years of age. Children with ≥3 LRTI visits had an 80% decrease in median time to asthma diagnosis relative to those with AGE visits only (time ratio [TR] 0.2; 95% CI 0.16, 0.24). Children with ≥3 LRTI hospitalizations had a 98% reduction in median time to asthma diagnosis relative to those with AGE hospitalizations only (TR 0.02; 95% CI 0.01, 0.07). History of atopy, wheezing, and family history of asthma documented prior to 2 years of age were also associated with earlier asthma diagnosis. CONCLUSIONS: Recurrent LRTIs, especially LRTI hospitalizations, before 2 years of age are associated with earlier diagnosis of pediatric asthma.

Referral and Resource Utilization Among Food Insecure Families Identified in a Pediatric Medical Setting.

OBJECTIVE: Despite increased routine screening for food insecurity (FI) in pediatric medical settings, the uptake of offered food resources after FI identification is not well understood. We aimed to 1) describe utilization of referral and supplemental resources and 2) identify characteristics associated with utilization. METHODS: We linked hospital screening and Electronic Medical Record data to Hunger Free Colorado (HFC) referral data for patients 0 to 18 years who were screened in the emergency department (ED), inpatient, or outpatient setting from January 2017 to December 2018. Among FI families, we compared patient demographic and clinical variables based on acceptance of HFC referral and connection to a food resource using Pearson's chi-square, Wilcoxon rank sum, and Poisson regression. RESULTS: Of 1952 patients with FI, 371 (19%) accepted a referral to HFC and of these 228 (61%) were connected to a food resource. In adjusted analyses, families screened in the ED (adjusted relative risks [aRR] 1.96, confidence interval [CI]: 1.57-2.44) and inpatient (aRR 1.74, CI: 1.20-2.53) settings more often pursued referral to HFC than those screened in Child Health Clinic, while those screened in Special Care Clinic less often pursued referral (aRR 0.24, CI: 0.14-0.41). Families with 3 or more people in the home were more likely to be connected to resources (aRR 2.67, CI: 1.42-5.04). CONCLUSIONS: Only a small proportion of families with FI identified in a medical setting are ultimately connected to food resources. Higher rates of HFC referral among ED and inpatient families suggest that increased screening efforts in these settings may be warranted.

Prevalence of Social Risks on Inpatient Screening and Their Impact on Pediatric Care Use.

OBJECTIVES: Screening for social determinants of health in the inpatient setting is uncommon. However, social risk factors documented in billing and electronic medical record data are associated with increased pediatric care use. We sought to describe (1) the epidemiology of social risks and referral acceptance and (2) association between social risks identified through routine inpatient screening and care use. METHODS: Parents of children ages 0 to 18 admitted to a general pediatric floor at an academic children's hospital completed a psychosocial screening survey from October 2017 to June 2019. The survey covered the following domains: finances, housing, food security, medications, and benefits. Patient characteristics and care use outcomes were abstracted from the electronic medical record and compared by using Pearson's χ2 or the Wilcoxon rank test and logistic regression analyses. RESULTS: Of 374 screened families, 141 (38%) had a positive screen result, of whom 78 (55%) reported >1 need and 64 (45%) accepted a community resource. In bivariate analyses, patients with a positive screen result had higher 30-day readmission (10% vs 5%; P = .05), lower median household income ($62 321 vs $71 460; P < .01), lower parental education (P < .01), public insurance (57% vs 43%; P < .01), lived in a 1-parent household (30 vs 12%; P < .01), and had a complex chronic condition (35% vs 23%; P = .01) compared with those with a negative screen result. There was no difference in care reuse by screening status in adjusted analyses. CONCLUSIONS: Social risks are common in the pediatric inpatient setting. Children with medical complexity offer a good target for initial screening efforts.

Variation in Proportion of Blood Cultures Obtained for Children With Skin and Soft Tissue Infections.

OBJECTIVES: To identify variation in the proportion of blood cultures obtained for pediatric skin and soft tissue infections (SSTIs) among children's hospitals. METHODS: We conducted a retrospective cohort study using the Pediatric Health Information System database, which we queried for emergency department (ED)-only and hospital encounters between 2012 and 2017 for children aged 2 months to 18 years with diagnosis codes for SSTI. The primary outcome was proportion of SSTI encounters during which blood cultures were obtained. Encounters with and without blood cultures were compared for length of stay, costs, and 30-day ED revisit and readmission rates, adjusted for patient factors and hospital clustering. We also identified encounters with bacteremia using billing codes for septicemia and bacteremia. RESULTS: We identified 239 954 ED-only and 49 291 hospital SSTI encounters among 38 hospitals. Median proportions of ED-only and hospital encounters with blood cultures were 3.2% (range: 1%- 11%) and 51.6% (range: 25%-81%), respectively. Adjusted ED-only encounters with versus without blood culture had higher costs ($1266 vs $460, P < .001), higher ED revisit rates (3.6% vs 2.9%, P < .001), and higher admission rates (2.0% vs 0.9%, P < .001). Hospital encounters with blood culture had longer length of stay (2.3 vs 2.0 days, P < .001), higher costs ($5254 vs $4425, P < .001), and higher readmission rates (0.8% vs 0.7%, P = .027). The overall proportion of encounters with bacteremia was 0.6% for ED-only encounters and 1.0% for hospital encounters. CONCLUSIONS: Despite multiple studies in which low clinical value was demonstrated and current Infectious Diseases Society of America guidelines arguing against the practice, blood cultures were obtained frequently for children hospitalized with SSTIs, with substantial variation across institutions. Few bacteremic encounters were identified.

How Measurement Variability Affects Reporting of a Single Readmission Metric.

Readmissions are an important quality measure for public reporting, payment, and collaborative research. Lack of measure standardization may lead to inconsistent reporting of outcomes across study sites. In this study, we examined the impact of measurement variability on reporting of a single readmission metric, 30-day all-condition readmission rates (ARRs). We conducted a secondary database analysis of 2006-2008 Medicaid Analytic eXtract data merged from four states of children younger than 21 years. We calculated 30-day ARRs for this cohort using three previously described models varying in their inclusions and exclusions of index hospitalizations and readmissions. The 30-day ARR was highest for the model allowing each readmission to serve as an index admission for subsequent readmissions (ARR: 7%); intermediate for the model allowing one index admission and more than one readmissions in each 30-day period (ARR: 6.2%); and lowest for the model allowing only one readmission in each 30-day period (ARR: 5.6%). Similar variation was seen when stratifying patients by individual diagnostic groups. In conclusion, measurement variability impacts reported outcomes of a single readmission metric. To improve the value of readmission as a quality metric, stakeholders engaged in multisite quality improvement or research should ensure that definitions are standardized across sites.

Potential Impact of Initial Clinical Data on Adjustment of Pediatric Readmission Rates.

OBJECTIVE: Comparison of readmission rates requires adjustment for case-mix (ie, differences in patient populations), but previously only claims data were available for this purpose. We examined whether incorporation of relatively readily available clinical data improves prediction of pediatric readmissions and thus might enhance case-mix adjustment. METHODS: We examined 30-day readmissions using claims and electronic health record data for patients ≤18 years and 29 days of age who were admitted to 3 children's hospitals from February 2011 to February 2014. Using the Pediatric All-Condition Readmission Measure and starting with a model including age, gender, chronic conditions, and primary diagnosis, we examined whether the addition of initial vital sign and laboratory data improved model performance. We employed machine learning to evaluate the same variables, using the L2-regularized logistic regression with cost-sensitive learning and convolutional neural network. RESULTS: Controlling for the core model variables, low red blood cell count and mean corpuscular hemoglobin concentration and high red cell distribution width were associated with greater readmission risk, as were certain interactions between laboratory and chronic condition variables. However, the C-statistic (0.722 vs 0.713) and McFadden's pseudo R2 (0.085 vs 0.076) for this and the core model were similar, suggesting minimal improvement in performance. In machine learning analyses, the F-measure (harmonic mean of sensitivity and positive predictive value) was similar for the best-performing model (containing all variables) and core model (0.250 vs 0.243). CONCLUSIONS: Readily available clinical variables do not meaningfully improve the prediction of pediatric readmissions and would be unlikely to enhance case-mix adjustment unless their distributions varied widely across hospitals.

Group Style Central Venous Catheter Education Using the GLAD Model.

PURPOSE: This study aimed to examine the impact of group-based central venous catheter education (CVC) on the knowledge, skill and comfort of caregivers, length of stay (LOS) related to initial CVC placement and 30-day return hospital visit for central line associated blood stream infections (CLABSI). DESIGN AND METHODS: This pilot study employed a pretest-posttest design comparing retrospective data collected before implementation of the group-based education (GLAD Model). Data were collected from children's caregivers before and after taking the educational class through use of the Comfort Survey, and collected though the electronic medical record. The data were analyzed using SPSS 24, repeated measures analysis of variance, and t-test. RESULTS: Pre-post difference with the Comfort Survey indicated significant increase (M = 0.49, SD = 0.79), t(92) = 6.05, p = 0.001, d = -0.62) for skill, knowledge and comfort for the pre- and the post 2 (1 month after) and 3 (2 months after). After GLAD Model implementation, LOS related to initial CVC placement during retrospective review declined from 29.7 days to 27.7 and 30-day return hospital visit declined from twelve to zero. Our results suggest that use of the GLAD Model educational program might be effective in improving caregiver knowledge, skill and comfort as well as LOS and 30-day return hospital visit. CONCLUSION: This study suggests that group-based, education with use of the GLAD Model should to be considered as an effective educational intervention in providing caregivers CVC education. This may help care for their child at home while enhancing their hospital experience and decreasing unplanned hospital visits.

An Electronic Health Record Tool Designed to Improve Pediatric Hospital Discharge has Low Predictive Utility for Readmissions.

We developed an electronic health record tool to improve pediatric hospital discharge. This tool flags children with three components that might complicate discharge: home health, polypharmacy (greater than or equal to 6 medications), or nonEnglish speaking caregiver. The tool tallies components and displays them as a composite score of 0-3 points. We describe the tool's development, implementation, and an evaluation of its predictive utility for 30-day unplanned readmissions in 29,542 discharged children. Of these children, 28% had a composite score of 1, 8% a score greater than or equal to 2, and 4% were readmitted. The odds of readmission was significantly higher in children with composite score of 1 versus 0 (odds ratio [OR]: 1.7; 95% CI, 1.5-2) and greater than or equal to 2 versus 0 (OR 4.2; 95% CI 3.6-4.9). The C-statistic for this model was 0.6259. Despite the positive association of the score with readmission, the tool's discriminatory performance is low. Additional research is needed to evaluate its practical benefit for improving the quality of hospital discharge. This study was supported by an institutional Clinical and Operational Effectiveness and Patient Safety Small Grants Program.

Issues Identified by Postdischarge Contact after Pediatric Hospitalization: A Multisite Study.

BACKGROUND: Many hospitals are considering contacting hospitalized patients soon after discharge to help with issues that arise. OBJECTIVE: To (1) describe the prevalence of contactidentified postdischarge issues (PDI) and (2) assess characteristics of children with the highest likelihood of having a PDI. DESIGN, SETTING, PATIENTS: A retrospective analysis of hospital-initiated follow-up contact for 12,986 children discharged from January 2012 to July 2015 from 4 US children's hospitals. Contact was made within 14 days of discharge by hospital staff via telephone call, text message, or e-mail. Standardized questions were asked about issues with medications, appointments, and other PDIs. For each hospital, patient characteristics were compared with the likelihood of PDI by using logistic regression. RESULTS: Median (interquartile range) age of children at admission was 4.0 years (0-11); 59.9% were nonHispanic white, and 51.0% used Medicaid. The most common reasons for admission were bronchiolitis (6.3%), pneumonia (6.2%), asthma (5.1%), and seizure (4.9%). Twenty-five percent of hospitalized children (n=3263) reported a PDI at contact (hospital range: 16.0%-62.8%). Most (76.3%) PDIs were related to follow-up appointments (eg, difficulty getting one); 20.8% of PDIs were related to medications (eg, problems filling a prescription). Patient characteristics associated with the likelihood of PDI varied across hospitals. Older age (age 10-18 years vs <1 year) was significantly (P<.001) associated with an increased likelihood of PDI in 3 of 4 hospitals. CONCLUSIONS: PDIs were identified often through hospital-initiated follow-up contact. Most PDIs were related to appointments. Hospitals caring for children may find this information useful as they strive to optimize their processes for follow-up contact after discharge.

Outpatient follow-up visits and readmission in medically complex children enrolled in Medicaid.

OBJECTIVE: To examine the association between postdischarge outpatient follow-up and 30-day readmissions in Medicaid enrolled children with complex, chronic conditions. STUDY DESIGN: This was a retrospective cohort analysis of Colorado Medicaid recipients with complex, chronic conditions who were discharged from the hospital between 2006 and 2008. The primary outcome was readmission between 4 and 30 days after index hospital discharge. Using multivariable logistic regression, we examined the association between early postdischarge outpatient visits (≤ 3 days postdischarge) and readmission. We secondarily analyzed the relationship between any outpatient visit from 4 to 29 days of index discharge and readmission. RESULTS: For the 2415 patients with complex, chronic conditions included in the analysis, the 4- to 30-day readmission rate was 6.3%. The odds of readmission was significantly greater for patients with ≥ 1 outpatient visit ≤ 3 days after discharge compared with patients without a visit ≤ 3 days after discharge (aOR 1.7 [1.1-2.4]). The odds of readmission were significantly lower for patients with ≥ 1 outpatient visit from 4 to 29 days after discharge compared with patients without such visits (aOR 0.5 [0.3-0.7]). Other factors associated with readmission included index hospital length of stay and number of complex, chronic conditions. CONCLUSIONS: In medically complex children, there is a positive association between early postdischarge outpatient follow-up and readmission. There is an inverse association between later postdischarge outpatient follow-up and readmission. Outpatient follow-up occurring within 4-29 days after discharge may help to prevent 30-day readmissions. Additional research is needed to inform guidelines regarding longer term postdischarge outpatient follow-up in these children.