Family-based pediatric weight management interventions in US primary care settings targeting children ages 6-12 years old: A systematic review guided by the RE-AIM framework.

Obesity is a pandemic that disproportionately affects children from vulnerable populations in the USA. Current treatment approaches in primary care settings in the USA have been reported to be insufficient at managing pediatric obesity, primarily due to implementation challenges for healthcare systems and barriers for families. While the literature has examined the efficacy of pediatric obesity interventions focused on internal validity, it lacks sufficient reporting and analysis of external validity necessary for successful translation to primary care settings. We conducted a systematic review of the primary-care-setting literature from January 2007 to March 2020 on family-based pediatric weight management interventions in both English and/or Spanish for children ages 6-12 years in the USA using the Reach, Efficacy/Effectiveness, Adoption, Implementation, Maintenance (RE-AIM) framework. A literature search, using PRISMA guidelines, was conducted in January 2022 using the following electronic databases: Medline Ovid, Embase, and Cochrane Library. 22 270 records were screened, and 376 articles were reviewed in full. 184 studies were included. The most commonly reported dimensions of the RE-AIM framework were Reach (65%), Efficacy/Effectiveness (64%), and Adoption (64%), while Implementation (47%) and Maintenance (42%) were less often reported. The prevalence of reporting RE-AIM construct indicators ranged greatly, from 1% to 100%. This systematic review underscores the need for more focus on external validity to guide the development, implementation, and dissemination of future pediatric obesity interventions based in primary care settings. It also suggests conducting additional research on sustainable financing for pediatric obesity interventions.

Pediatric weight management research focused on primary care centers for children ages 6­12 in the USA has typically focused on assessing the effectiveness of the intervention rather than how to translate and disseminate such interventions into different settings for diverse populations, or external validity. Using the Reach, Efficacy/Effectiveness, Adoption, Implementation, Maintenance (RE-AIM) framework, we conducted a systematic review to report how existing research reports external validity.

Mental Health Disorders and Psychotropic Medication: Prevalence and Related Characteristics Among Individuals in Foster Care.

This study sought to provide prevalence data for mental health (MH) diagnoses and psychotropic medication prescriptions among individuals in foster care and to examine their relationships with physical health status, maltreatment type, placement type, and demographic variables. Data were retrieved from electronic health records for 3,067 patients seen at integrated pediatric primary care clinics serving individuals in care. Descriptive and bivariate statistics for presence of MH diagnoses and psychotropic medication prescription were calculated. Multivariable zero-inflated negative binomial regressions were used to assess relationships. Half (50.0%) of patients had at least one MH diagnosis; trauma and stressor-related (31.5%) and attention deficit hyperactivity (22.6%) disorders were most common. 27.8% of patients were prescribed at least 1 psychotropic medication. Complex chronic physical health, having 1 and 2 or more maltreatment exposures, and being 6-11 and 12-20 years of age had significantly higher rates of having a MH diagnosis while being female, Black, Hispanic, and other race were significantly associated with lower rates. Patients with at least 1 MH diagnosis that had complex chronic physical health status, experienced sexual abuse, and were 6-11 and 12-20 years of age had significantly higher rates of psychotropic medication prescription while shelter and kinship placement and female gender were significantly associated with lower rates. Findings suggest that initial and ongoing MH screening is vital for individuals in care so that appropriate interventions can be offered. Results support implementing strategies designed to increase access to MH services for this population, such as integrated care and child psychiatry consult programs. Supplementary Information: The online version contains supplementary material available at 10.1007/s40653-023-00547-9.

Healthcare utilization among children with a history of neonatal opioid withdrawal syndrome: A matched cohort study.

OBJECTIVES: Compare longitudinal healthcare utilization patterns in children with and without a history of neonatal opioid withdrawal syndrome (NOWS). STUDY DESIGN: A retrospective matched cohort study was conducted using billing data extracted from between 2003 and 2016 in North Texas hospitals. The sample included 595 pediatric patients diagnosed with NOWS (i.e. exposed). The unexposed were patients not diagnosed with NOWS and matched 4:1 on sex, age at first encounter, and ethnicity to the exposed who received care during the same period. Multi-level regression models (accounting for clustered data structure of multiple visits per patient) compared number of hospitalizations, number of outpatient visits, number of emergency department (ED) visits, average length of stay, and healthcare expenditures across patients with and without NOWS. RESULTS: Hospitalizations were significantly lower among exposed (Incidence Rate Ratio [IRR] = 0.58, 95 % Confidence Interval [CI] = 0.44-0.77) compared to unexposed. Outpatient visits, ED visits, and average length of stay was significantly higher among exposed compared to unexposed (IRR = 1.19, 95 % CI = 1.04-1.36; IRR = 1.22, 95 % CI = 1.04-1.42; IRR = 2.21, 95 % CI = 2.03-2.42, respectively). Overall healthcare expenditure was greater among exposed, as well as for patients with neurologic, endocrine, cardiac, mental disorders, respiratory, perinatal, infectious disease, eye, ear, digestive, congenital anomaly, and skin diagnoses. CONCLUSIONS: Children with a diagnosis of NOWS have significantly higher healthcare expenditures, and with the exception of hospitalizations, higher healthcare utilization beyond the newborn visit. These findings suggest the needs for interventions for children with NOWS beyond the immediate neonatal period.

Description of Audiologic, Developmental, Ophthalmologic, and Neurologic Diagnoses at a Primary Care Clinic for Children in Foster Care.

OBJECTIVES: This study aimed to describe the prevalence of medically diagnosed audiologic, developmental, ophthalmologic, and neurologic conditions in a foster care primary care clinic and to identify any associations among these diagnoses and patient characteristics, placement type, and maltreatment type. METHODS: This study used the electronic medical records for patients (n = 4977), aged 0 to 20 years, with at least 1 visit to an academic-affiliated medical center primary care clinic exclusively serving children in foster care between January 1, 2017, and December 31, 2020. This study was a retrospective chart review. Descriptive statistics were calculated. Bivariate logistic regression analysis was used to determine associations between the outcome variables and each independent variable. Multivariable logistic regression analysis was performed using only significant independent variables from the bivariate analysis. RESULTS: Overall, 3.5% of children had an audiologic diagnosis, 42% had a developmental diagnosis, 9.0% had an ophthalmologic diagnosis, and 4.5% had a neurologic diagnosis. There were increased odds of developmental delay with child neglect and medical complexity and decreased odds with Hispanic ethnicity, Black race, female sex, obesity, and shelter placement. CONCLUSION: These findings add to the limited data regarding medically diagnosed audiologic, developmental, ophthalmologic, and neurologic conditions for children in foster care in a primary care setting. A medical home may help children in foster care, who experience many barriers to comprehensive health care, to better identify and address these health conditions. Future studies are needed that examine health outcomes of children in foster care with these health conditions followed in a medical home.

Roll up the tape? Laser and optical technologies improve paediatric weight estimation.

BACKGROUND: A robust estimation method is needed to prevent medication dosing and equipment sizing errors and improve time to administration during paediatric resuscitation. An electronic measurement with computer interface may improve accuracy and alleviate cognitive burden. This study evaluates the accuracy of two electronic height measurement methods, a laser and an optical device, and compares them to the Broselow™ Pediatric Emergency Tape (BT) for weight estimation. METHODS: We enrolled children ages 0-14 years from the emergency department of a free-standing, academic children's hospital. We obtained sex, body habitus, true weight, true height, BT colour, and experimental heights. We converted experimental height measurements into weight estimates using standardised growth charts. We calculated Pearson correlations between experimental and actual measurements and the percentages of weight estimates within 10% and 20% of true weights. We repeated analyses on a restricted cohort of children 0-11 years, the intended BT age range. RESULTS: We enrolled 198 children. The laser, optical device and BT weight estimates had strong positive correlations with the actual weight measurements with Pearson's correlation coefficients of 0.946, p < 0.0001, 0.965, p < 0.0001, and 0.825, p < 0.0001 respectively. 47.8% of optical weight estimates fell within 10% of actual weight and 80.6% within 20%, compared to 40.5% and 75.4% of laser estimates and 39.8% and 65.1% of BT estimates. CONCLUSION: Electronic-based weight estimates were more accurate than the BT. The accuracy of medication dosing and equipment sizing during paediatric resuscitation may be improved by integrating optical height-based weight estimates with electronic clinical decision support.

United States emergency department visits for children with cerebrospinal fluid shunts.

OBJECTIVE: CSF shunt placement is the primary therapy for hydrocephalus; however, shunt malfunctions remain common and lead to neurological deficits if missed. There is a lack of literature characterizing the epidemiology of children with possible shunt malfunctions presenting to United States emergency departments (EDs). METHODS: A retrospective study was conducted of the 2006-2017 National Emergency Department Sample. The data were queried using an exhaustive list of Current Procedural Terminology and International Classification of Diseases, Ninth Revision and International Classification of Diseases, Tenth Revision codes representing children with hydrocephalus diagnoses, diagnostic imaging for shunt malfunctions, and shunt-related surgical revision procedures. RESULTS: In 2017, there were an estimated 16,376 ED visits for suspected shunt malfunction. Children were more commonly male (57.9%), ages 0-4 years (42.2%), and publicly insured (55.8%). Many did not undergo diagnostic imaging (37.2%), and of those who did, most underwent head CT scans (43.7%). Between 2006 and 2017, pediatric ED visits for suspected shunt malfunction increased 18% (95% CI 12.1-23.8). The use of MRI increased substantially (178.0%, 95% CI 176.9-179.2). Visits resulting in discharge home from the ED increased by 76.3% (95% CI 73.1-79.4), and those involving no surgical intervention increased by 32.9% (95% CI 29.2-36.6). CONCLUSIONS: Between 2006 and 2017, ED visits for children to rule out shunt malfunction increased, yet there was a decline in surgical intervention and an increase in discharges home from the ED. Possible contributing factors include improved clinical criteria for shunt evaluation, alternative CSF diversion techniques, changing indications for shunt placement, and increased use of advanced imaging in the ED. ABBREVIATIONS: CPT = Current Procedural Terminology; ED = emergency department; ETV = endoscopic third ventriculostomy; ICD-9 = International Classification of Diseases, Ninth Revision; ICD-10 = International Classification of Diseases, Tenth Revision; NEDS = National Emergency Department Sample.