BACKGROUND:The National Health and Nutrition Examination Survey provides nationally representative data on child obesity using measured height and weight. Due to COVID-19, the NHANES August 2021-August 2023 cycle had design changes and smaller sample sizes for certain race/Hispanic origin groups. The objective is to explore sex and race/Hispanic origin-specific childhood obesity trends. METHODS:Trends from 1999 or 2007 to August 2023 were evaluated in regression models. Obesity was defined as BMI-for-age ≥ 95th percentile. RESULTS:Analyses included 28 666 youth 2-19 years. From 2007 to August 2023, obesity prevalence increased among Hispanic girls (p = 0.03) but not Hispanic boys (p = 0.06). From 1999 to August 2023, obesity increased among non-Hispanic White (White) boys (p = 0.02) and non-Hispanic Black (Black) girls (p = 0.04), but not White girls (p = 0.10). Among Black boys only, a quadratic trend (p = 0.03) was found, driven by an obesity increase between 2017-2018 and August 2021-August 2023, from 19.4% to 38.1% (p < 0.01). CONCLUSIONS:Obesity increased among Hispanic girls, White boys, and Black girls. The prevalence increased in Black boys too, but the magnitude of increase from 2017 to August 2023 appears implausible. Small August 2021-August 2023 sample sizes for Black youth could have exacerbated unmeasured sampling variation. Continued surveillance will provide context for interpreting estimates.
Importance:The function-based eat, sleep, console (ESC) care approach substantially reduces the proportion of infants who receive pharmacologic treatment for neonatal opioid withdrawal syndrome (NOWS). This reduction has led to concerns for increased postnatal opioid exposure in infants who receive pharmacologic treatment. However, the effect of the ESC care approach on hospital outcomes for infants pharmacologically treated for NOWS is currently unknown. Objective:To evaluate differences in opioid exposure and total length of hospital stay (LOS) for pharmacologically treated infants managed with the ESC care approach vs usual care with the Finnegan tool. Design, Setting, and Participants:This post hoc subgroup analysis involved infants pharmacologically treated in ESC-NOW, a stepped-wedge cluster randomized clinical trial conducted at 26 US hospitals. Hospitals maintained pretrial practices for pharmacologic treatment, including opioid type, scheduled opioid dosing, and use of adjuvant medications. Infants were born at 36 weeks' gestation or later, had evidence of antenatal opioid exposure, and received opioid treatment for NOWS between September 2020 and March 2022. Data were analyzed from November 2022 to January 2024. Exposure:Opioid treatment for NOWS and the ESC care approach. Main Outcomes and Measures:For each outcome (total opioid exposure, peak opioid dose, time from birth to initiation of first opioid dose, length of opioid treatment, and LOS), we used generalized linear mixed models to adjust for the stepped-wedge design and maternal and infant characteristics. Results:In the ESC-NOW trial, 463 of 1305 infants were pharmacologically treated (143/603 [23.7%] in the ESC care approach group and 320/702 [45.6%] in the usual care group). Mean total opioid exposure was lower in the ESC care approach group with an absolute difference of 4.1 morphine milligram equivalents per kilogram (MME/kg) (95% CI, 1.3-7.0) when compared with usual care (4.8 MME/kg vs 8.9 MME/kg, respectively; P = .001). Mean time from birth to initiation of pharmacologic treatment was 22.4 hours (95% CI, 7.1-37.7) longer with the ESC care approach vs usual care (75.4 vs 53.0 hours, respectively; P = .002). No significant difference in mean peak opioid dose was observed between groups (ESC care approach, 0.147 MME/kg, vs usual care, 0.126 MME/kg). The mean length of treatment was 6.3 days shorter (95% CI, 3.0-9.6) in the ESC care approach group vs usual care group (11.8 vs 18.1 days, respectively; P < .001), and mean LOS was 6.2 days shorter (95% CI, 3.0-9.4) with the ESC care approach than with usual care (16.7 vs 22.9 days, respectively; P < .001). Conclusion and Relevance:When compared with usual care, the ESC care approach was associated with less opioid exposure and shorter LOS for infants pharmacologically treated for NOWS. The ESC care approach was not associated with a higher peak opioid dose, although pharmacologic treatment was typically initiated later. Trial Registration:ClinicalTrials.gov Identifier: NCT04057820.
Infants with neonatal opioid withdrawal syndrome (NOWS) cared for with the Eat, Sleep, Console (ESC) care approach receive less pharmacologic treatment and have shorter hospital stays compared to usual care with the Finnegan Neonatal Abstinence Scoring Tool, but the effects of these approaches on feeding and weight are unknown. To evaluate feeding practices and weight trajectories in infants cared for with ESC vs usual care. ESC-NOW is a cluster randomized trial of infants with NOWS born at 36 weeks’ gestation or later at 26 US hospitals from September 2020 to March 2022. Each site transitioned from usual care to ESC (the study intervention) at a randomized time. Feeding was per site practice and not specified by the intervention. Feeding and weight outcomes were assessed at hospital discharge. ESC vs usual care. Outcomes include prospectively identified secondary end points related to feeding and weight. z Scores were used for growth to account for corrected gestational age at the time of measurement. All analyses were intention to treat and adjusted for study design. Maternal/infant characteristics were included in adjusted models. The analyses included 1305 infants (702 in usual care and 603 in ESC; mean [SD] gestational age, 38.6 [1.3] weeks; 655 [50.2%] male and 650 [49.8%] female). Baseline demographic characteristics were similar between groups. The proportion of breastfed infants was higher in the ESC group (52.7% vs 41.7%; absolute difference, 11%; 95% CI, 1.0-20.9). A higher proportion of infants cared for with ESC received exclusive breast milk (15.1% vs 6.7%; absolute difference, 8.4%; 95% CI, 0.9-5.8) or any breast milk (38.8% vs 27.4%; absolute difference, 11.4%; 95% CI, 0.2-23.1) and were directly breastfeeding at discharge (35.2% vs 19.5%; absolute difference, 15.7%; 95% CI, 4.1-27.3). There was no difference in proportion of infants with weight loss greater than 10% or maximum percentage weight loss, although infants cared for with ESC had a lower weight z score on day of life 3 (−1.08 vs −1.01; absolute difference, 0.07; 95% CI, 0.02-0.12). When pharmacologic treatment was added into the model, no breastfeeding outcomes were statistically significant. In this study, infants cared for with ESC were more likely to initiate and continue breastfeeding and had no difference in percentage weight loss. The improvement in breastfeeding with ESC may be driven by reduction in pharmacologic treatment and provision of effective nonpharmacologic care. ClinicalTrials.gov Identifier: NCT04057820
Background: Medical record abstraction (MRA) is a commonly used method for data collection in clinical research, but is prone to error, and the influence of quality control (QC) measures is seldom and inconsistently assessed during the course of a study. We employed a novel, standardized MRA-QC framework as part of an ongoing observational study in an effort to control MRA error rates. In order to assess the effectiveness of our framework, we compared our error rates against traditional MRA studies that had not reported using formalized MRA-QC methods. Thus, the objective of this study was to compare the MRA error rates derived from the literature with the error rates found in a study using MRA as the sole method of data collection that employed an MRA-QC framework. Methods: Using a moderator meta-analysis employed with Q-test, the MRA error rates from the meta-analysis of the literature were compared with the error rate from a recent study that implemented formalized MRA training and continuous QC processes. Results: The MRA process for data acquisition in clinical research was associated with both high and highly variable error rates (70 – 2,784 errors per 10,000 fields). Error rates for the study using our MRA-QC framework were between 1.04% (optimistic, all-field rate) and 2.57% (conservative, populated-field rate) (or 104 – 257 errors per 10,000 fields), 4.00 – 5.53 percentage points less than the observed rate from the literature (p<0.0001). Conclusions: Review of the literature indicated that the accuracy associated with MRA varied widely across studies. However, our results demonstrate that, with appropriate training and continuous QC, MRA error rates can be significantly controlled during the course of a clinical research study.
ImportanceThe function-based eat, sleep, console (ESC) care approach substantially reduces the proportion of infants who receive pharmacologic treatment for neonatal opioid withdrawal syndrome (NOWS). This reduction has led to concerns for increased postnatal opioid exposure in infants who receive pharmacologic treatment. However, the effect of the ESC care approach on hospital outcomes for infants pharmacologically treated for NOWS is currently unknown.ObjectiveTo evaluate differences in opioid exposure and total length of hospital stay (LOS) for pharmacologically treated infants managed with the ESC care approach vs usual care with the Finnegan tool.Design, Setting, and ParticipantsThis post hoc subgroup analysis involved infants pharmacologically treated in ESC-NOW, a stepped-wedge cluster randomized clinical trial conducted at 26 US hospitals. Hospitals maintained pretrial practices for pharmacologic treatment, including opioid type, scheduled opioid dosing, and use of adjuvant medications. Infants were born at 36 weeks’ gestation or later, had evidence of antenatal opioid exposure, and received opioid treatment for NOWS between September 2020 and March 2022. Data were analyzed from November 2022 to January 2024.ExposureOpioid treatment for NOWS and the ESC care approach.Main Outcomes and MeasuresFor each outcome (total opioid exposure, peak opioid dose, time from birth to initiation of first opioid dose, length of opioid treatment, and LOS), we used generalized linear mixed models to adjust for the stepped-wedge design and maternal and infant characteristics.ResultsIn the ESC-NOW trial, 463 of 1305 infants were pharmacologically treated (143/603 [23.7%] in the ESC care approach group and 320/702 [45.6%] in the usual care group). Mean total opioid exposure was lower in the ESC care approach group with an absolute difference of 4.1 morphine milligram equivalents per kilogram (MME/kg) (95% CI, 1.3-7.0) when compared with usual care (4.8 MME/kg vs 8.9 MME/kg, respectively; P = .001). Mean time from birth to initiation of pharmacologic treatment was 22.4 hours (95% CI, 7.1-37.7) longer with the ESC care approach vs usual care (75.4 vs 53.0 hours, respectively; P = .002). No significant difference in mean peak opioid dose was observed between groups (ESC care approach, 0.147 MME/kg, vs usual care, 0.126 MME/kg). The mean length of treatment was 6.3 days shorter (95% CI, 3.0-9.6) in the ESC care approach group vs usual care group (11.8 vs 18.1 days, respectively; P < .001), and mean LOS was 6.2 days shorter (95% CI, 3.0-9.4) with the ESC care approach than with usual care (16.7 vs 22.9 days, respectively; P < .001).Conclusion and RelevanceWhen compared with usual care, the ESC care approach was associated with less opioid exposure and shorter LOS for infants pharmacologically treated for NOWS. The ESC care approach was not associated with a higher peak opioid dose, although pharmacologic treatment was typically initiated later.Trial RegistrationClinicalTrials.gov Identifier: NCT04057820
Background:In clinical research, prevention of systematic and random errors of data collected is paramount to ensuring reproducibility of trial results and the safety and efficacy of the resulting interventions. Over the last 40 years, empirical assessments of data accuracy in clinical research have been reported in the literature. Although there have been reports of data error and discrepancy rates in clinical studies, there has been little systematic synthesis of these results. Further, although notable exceptions exist, little evidence exists regarding the relative accuracy of different data processing methods. We aim to address this gap by evaluating error rates for 4 data processing methods. Methods:A systematic review of the literature identified through PubMed was performed to identify studies that evaluated the quality of data obtained through data processing methods typically used in clinical trials: medical record abstraction (MRA), optical scanning, single-data entry, and double-data entry. Quantitative information on data accuracy was abstracted from the manuscripts and pooled. Meta-analysis of single proportions based on the Freeman-Tukey transformation method and the generalized linear mixed model approach were used to derive an overall estimate of error rates across data processing methods used in each study for comparison. Results:A total of 93 papers (published from 1978 to 2008) meeting our inclusion criteria were categorized according to their data processing methods. The accuracy associated with data processing methods varied widely, with error rates ranging from 2 errors per 10,000 fields to 2,784 errors per 10,000 fields. MRA was associated with both high and highly variable error rates, having a pooled error rate of 6.57% (95% CI: 5.51, 7.72). In comparison, the pooled error rates for optical scanning, single-data entry, and double-data entry methods were 0.74% (0.21, 1.60), 0.29% (0.24, 0.35) and 0.14% (0.08, 0.20), respectively. Conclusions:Data processing and cleaning methods may explain a significant amount of the variability in data accuracy. MRA error rates, for example, were high enough to impact decisions made using the data and could necessitate increases in sample sizes to preserve statistical power. Thus, the choice of data processing methods can likely impact process capability and, ultimately, the validity of trial results.
Importance:Infants with neonatal opioid withdrawal syndrome (NOWS) cared for with the Eat, Sleep, Console (ESC) care approach receive less pharmacologic treatment and have shorter hospital stays compared to usual care with the Finnegan Neonatal Abstinence Scoring Tool, but the effects of these approaches on feeding and weight are unknown. Objective:To evaluate feeding practices and weight trajectories in infants cared for with ESC vs usual care. Design, Setting, and Participants:ESC-NOW is a cluster randomized trial of infants with NOWS born at 36 weeks' gestation or later at 26 US hospitals from September 2020 to March 2022. Each site transitioned from usual care to ESC (the study intervention) at a randomized time. Feeding was per site practice and not specified by the intervention. Feeding and weight outcomes were assessed at hospital discharge. Intervention:ESC vs usual care. Main Outcomes and Measures:Outcomes include prospectively identified secondary end points related to feeding and weight. z Scores were used for growth to account for corrected gestational age at the time of measurement. All analyses were intention to treat and adjusted for study design. Maternal/infant characteristics were included in adjusted models. Results:The analyses included 1305 infants (702 in usual care and 603 in ESC; mean [SD] gestational age, 38.6 [1.3] weeks; 655 [50.2%] male and 650 [49.8%] female). Baseline demographic characteristics were similar between groups. The proportion of breastfed infants was higher in the ESC group (52.7% vs 41.7%; absolute difference, 11%; 95% CI, 1.0-20.9). A higher proportion of infants cared for with ESC received exclusive breast milk (15.1% vs 6.7%; absolute difference, 8.4%; 95% CI, 0.9-5.8) or any breast milk (38.8% vs 27.4%; absolute difference, 11.4%; 95% CI, 0.2-23.1) and were directly breastfeeding at discharge (35.2% vs 19.5%; absolute difference, 15.7%; 95% CI, 4.1-27.3). There was no difference in proportion of infants with weight loss greater than 10% or maximum percentage weight loss, although infants cared for with ESC had a lower weight z score on day of life 3 (-1.08 vs -1.01; absolute difference, 0.07; 95% CI, 0.02-0.12). When pharmacologic treatment was added into the model, no breastfeeding outcomes were statistically significant. Conclusions and Relevance:In this study, infants cared for with ESC were more likely to initiate and continue breastfeeding and had no difference in percentage weight loss. The improvement in breastfeeding with ESC may be driven by reduction in pharmacologic treatment and provision of effective nonpharmacologic care. Trial Registration:ClinicalTrials.gov Identifier: NCT04057820.
BACKGROUND:Although clinicians have traditionally used the Finnegan Neonatal Abstinence Scoring Tool to assess the severity of neonatal opioid withdrawal, a newer function-based approach - the Eat, Sleep, Console care approach - is increasing in use. Whether the new approach can safely reduce the time until infants are medically ready for discharge when it is applied broadly across diverse sites is unknown. METHODS:In this cluster-randomized, controlled trial at 26 U.S. hospitals, we enrolled infants with neonatal opioid withdrawal syndrome who had been born at 36 weeks' gestation or more. At a randomly assigned time, hospitals transitioned from usual care that used the Finnegan tool to the Eat, Sleep, Console approach. During a 3-month transition period, staff members at each hospital were trained to use the new approach. The primary outcome was the time from birth until medical readiness for discharge as defined by the trial. Composite safety outcomes that were assessed during the first 3 months of postnatal age included in-hospital safety, unscheduled health care visits, and nonaccidental trauma or death. RESULTS:A total of 1305 infants were enrolled. In an intention-to-treat analysis that included 837 infants who met the trial definition for medical readiness for discharge, the number of days from birth until readiness for hospital discharge was 8.2 in the Eat, Sleep, Console group and 14.9 in the usual-care group (adjusted mean difference, 6.7 days; 95% confidence interval [CI], 4.7 to 8.8), for a rate ratio of 0.55 (95% CI, 0.46 to 0.65; P<0.001). The incidence of adverse outcomes was similar in the two groups. CONCLUSIONS:As compared with usual care, use of the Eat, Sleep, Console care approach significantly decreased the number of days until infants with neonatal opioid withdrawal syndrome were medically ready for discharge, without increasing specified adverse outcomes. (Funded by the Helping End Addiction Long-term (HEAL) Initiative of the National Institutes of Health; ESC-NOW ClinicalTrials.gov number, NCT04057820.).
(1) To evaluate the direct (un-mediated) and indirect (mediated) relationship between antenatal exposure to opioid agonist medication as treatment for opioid use disorder (MOUD) and the severity of neonatal opioid withdrawal syndrome (NOWS), and (2) to understand the degree to which mediating factors influence the direct relationship between MOUD exposure and NOWS severity. This cross-sectional study includes data abstracted from the medical records of 1294 opioid-exposed infants (859 MOUD exposed and 435 non-MOUD exposed) born at or admitted to one of 30 US hospitals from July 1, 2016, to June 30, 2017. Regression models and mediation analyses were used to evaluate the relationship between MOUD exposure and NOWS severity (i.e., infant pharmacologic treatment and length of newborn hospital stay (LOS)) to identify potential mediators of this relationship in analyses adjusted for confounding factors. A direct (un-mediated) association was found between antenatal exposure to MOUD and both pharmacologic treatment for NOWS (aOR 2.34; 95
Abstract Background: Over the last 30 years, empirical assessments of data accuracy in clinical research have been reported in the literature. Although there have been articles summarizing results reported in multiple papers, there has been little synthesis of these results. Further, although notable exceptions exist, little evidence has been obtained regarding the relative accuracy of different data processing methods. Methods: A systematic review of the literature was performed to identify clinical research studies that evaluated the quality of data obtained from data processing methods typically used in clinical research (e.g., medical record abstraction, optical scanning, single-data entry, and double-data entry). A total of 93 papers meeting our inclusion criteria were categorized according to their data processing methods. Quantitative information on data accuracy was abstracted from the articles and pooled. Meta-analysis of single proportions based on an inverse variance method and generalized linear mixed model approach of studies from the literature were used to derive an overall estimate of error rates across data processing methods for comparison. Results: Review of the literature indicated that the accuracy associated with data processing methods varies widely, with error rates ranging from 2 errors per 10,000 fields to 2,784errors per 10,000 fields. The medical record abstraction process for data acquisition in clinical research was associated with both high and highly variable error rates, with a variability of 3 orders of magnitude in accuracy (70 – 2,784 errors per 10,000 fields). Error rates for data processed with optical methods were comparable to data processed using single-data entry (2 – 358 vs. 4 – 650 per 10,000 fields, respectively). In comparison, double-data entry was associated with the lowest error rates (4 – 33 per 10,000 fields). Conclusions: Data processing and cleaning methods may explain a significant amount of the variability in data accuracy.
Children with asthma and obesity are more likely to have lower vitamin D levels, but the optimal replacement dose is unknown in this population. The objective of this study is identifying a vitamin D dose in children with obesity‐related asthma that safely achieves serum vitamin D levels of ≥ 40 ng/mL. This prospective multisite randomized controlled trial recruited children/adolescents with asthma and body mass index ≥ 85% for age/sex. Part 1 (dose finding), evaluated 4 oral vitamin D regimens for 16 weeks to identify a replacement dose that achieved serum vitamin D levels ≥ 40 ng/mL. Part 2 compared the replacement dose calculated from part 1 (50,000 IU loading dose with 8,000 IU daily) to standard of care (SOC) for 16 weeks to identify the proportion of children achieving target serum 25(OH)D level. Part 1 included 48 randomized participants. Part 2 included 64 participants. In Part 1, no SOC participants achieved target serum level, but 50–72.7% of participants in cohorts A‐C achieved the target serum level. In part 2, 78.6% of replacement dose participants achieved target serum level compared with none in the SOC arm. No related serious adverse events were reported. This trial confirmed a 50,000 IU loading dose plus 8,000 IU daily oral vitamin D as safe and effective in increasing serum 25(OH)D levels in children/adolescents with overweight/obesity to levels ≥ 40 ng/mL. Given the critical role of vitamin D in many conditions complicating childhood obesity, these data close a critical gap in our understanding of vitamin D dosing in children.
The incidence of maternal opioid use in the USA has increased substantially since 2000. As a consequence of opioid use during pregnancy, the incidence of neonatal opioid withdrawal syndrome (NOWS) has increased fivefold between 2002 and 2012. Pharmacological therapy is indicated when signs of NOWS cannot be controlled, and the objective of pharmacological therapy is to control NOWS signs. Once pharmacologic therapy has started, there is great variability in strategies to wean infants. An important rationale for studying weaning of pharmacological treatment for NOWS is that weaning represents the longest time interval of drug treatment. Stopping medications too early may not completely treat NOWS symptoms. This will be a pragmatic, randomized, blinded trial of opioid weaning to determine whether more rapid weaning, compared to slow wean, will reduce the number of days of opioid treatment in infants receiving morphine or methadone as the primary treatment for NOWS. The proposed study is a pragmatic trial to determine whether a rapid-weaning intervention reduces the number of days of opioid treatment, compared to a slow-weaning intervention, and we powered the proposed study to detect a 2-day difference in the length of treatment. Hospitals will be able to use either morphine or methadone with the knowledge that we may find a positive treatment effect for both, one, or neither drugs. NCT04214834. Registered January 2, 2020.
BACKGROUND:Studies have shown that data collection by medical record abstraction (MRA) is a significant source of error in clinical research studies relying on secondary use data. Yet, the quality of data collected using MRA is seldom assessed. We employed a novel, theory-based framework for data quality assurance and quality control of MRA. The objective of this work is to determine the potential impact of formalized MRA training and continuous quality control (QC) processes on data quality over time. METHODS:We conducted a retrospective analysis of QC data collected during a cross-sectional medical record review of mother-infant dyads with Neonatal Opioid Withdrawal Syndrome. A confidence interval approach was used to calculate crude (Wald's method) and adjusted (generalized estimating equation) error rates over time. We calculated error rates using the number of errors divided by total fields ("all-field" error rate) and populated fields ("populated-field" error rate) as the denominators, to provide both an optimistic and a conservative measurement, respectively. RESULTS:On average, the ACT NOW CE Study maintained an error rate between 1% (optimistic) and 3% (conservative). Additionally, we observed a decrease of 0.51 percentage points with each additional QC Event conducted. CONCLUSIONS:Formalized MRA training and continuous QC resulted in lower error rates than have been found in previous literature and a decrease in error rates over time. This study newly demonstrates the importance of continuous process controls for MRA within the context of a multi-site clinical research study.
Importance:To our knowledge, there are no published randomized clinical trials of recruitment strategies. Rigorously evaluated successful recruitment strategies for children are needed.Objective:To evaluate the feasibility of 2 recruitment methods for enrolling rural children through primary care clinics to assess whether either or both methods are sufficiently effective for enrolling participants into a clinical trial of a behavioral telehealth intervention for children with overweight or obesity.Design, Setting, and Participants:This cluster-randomized clinical trial of 2 recruitment methods was conducted at 4 primary care clinics in 4 separate states. Each clinic used both recruitment methods in random order. Clinic eligibility criteria included at least 40% pediatric patients with Medicaid coverage and at least 100 potential participants. Eligibility criteria for children included a rural home address, age 6 to 11 years, and body mass index at or above the 85th percentile. Recruitment began February 3, 2020, and randomization of participants occurred on August 17, 2020. Data were analyzed from October 3, 2021, to April 21, 2022.Interventions:Two recruitment methods were assessed: the active method, for which a list of potential participants seen within the past year at each clinic was generated through the electronic health record and consecutively approached by research staff based on visit date to the clinic, and the traditional method, for which recruitment included posters, flyers, social media, and press release. Clinics were randomized to the order in which the 2 methods were implemented in 4-week periods, followed by a 4-week catch-up period using the method found most effective in previous periods.Main Outcomes and Measures:For each recruitment method, the number and proportion of randomized children among those who were approached was calculated.Results:A total of 104 participants were randomized (58 girls [55.8%]; mean age, 9.3 [95% CI, 9.0-9.6] years). Using the active method, 535 child-parent dyads were approached and 99 (18.5% [95% CI, 15.3%-22.1%]) were randomized. Using the traditional method, 23 caregivers expressed interest, and 5 (21.7% [95% CI, 7.5%-43.7%]) were randomized. All sites reached full enrollment using the active method and no sites achieved full enrollment using the traditional method. Mean time to full enrollment was 26.3 (range, 21.0-31.0) days.Conclusions and Relevance:This study supports the use of the active approach with local primary care clinics to recruit children with overweight and obesity from rural communities into clinical trials.Trial Registration:ClinicalTrials.gov Identifier: NCT04142034.
BACKGROUND AND OBJECTIVES:Despite the neonatal opioid withdrawal syndrome (NOWS) epidemic in the United States, evidence is limited for pharmacologic management when first-line opioid medications fail to control symptoms. The objective with this study was to evaluate outcomes of infants receiving secondary therapy with phenobarbital compared with clonidine, in combination with morphine, for the treatment of NOWS. METHODS:We performed a retrospective cohort study of infants with NOWS from 30 hospitals. The primary outcome measures were the length of hospital stay, duration of opioid treatment, and peak morphine dose. Outcomes were compared by group by using analysis of variance and multivariable linear regression controlling for relevant confounders. RESULTS:Of 563 infants with NOWS treated with morphine, 32% (n = 180) also received a secondary medication. Seventy-two received phenobarbital and 108 received clonidine. After adjustment for covariates, length of hospital stay was 10 days shorter, and, in some models, duration of morphine treatment was 7.5 days shorter in infants receiving phenobarbital compared with those receiving clonidine, with no difference in peak morphine dose. Infants were more likely to be discharged from the hospital on phenobarbital than clonidine (78% vs 29%, P < .0001). CONCLUSIONS:Among infants with NOWS receiving morphine and secondary therapy, those treated with phenobarbital had shorter length of hospital stay and shorter morphine treatment duration than clonidine-treated infants but were discharged from the hospital more often on secondary medication. Further investigation is warranted to determine if the benefits of shorter hospital stay and shorter duration of morphine therapy justify the possible neurodevelopmental consequences of phenobarbital use in infants with NOWS.
A significant percentage of clinical trials fail due to poor recruitment. Despite this, few studies exist to evaluate clinical trial recruitment strategies using a randomized approach in any population, and none exist to test recruitment strategies for trials involving children or rural populations. For clinical trials focused on weight control, evaluating retention and dose are extremely important, as poor retention can lead to biased samples and existing research shows that dose (i.e. contact hours) is directly related to patient outcome. Finally, adequacy of blinding of assessment teams is rarely reported in pediatric trials, and unblinded staff may be more likely to inadvertently bias findings. Therefore, in this feasibility trial we aim to use rigorous clinical trial methodology to assess the effectiveness of two different recruitment strategies, as well as test retention, dose, and blinding. Specifically, we describe the rationale, design, and planned implementation of a feasibility study of a rural pediatric obesity treatment trial that will be implemented in four medical clinics in four states affiliated with the Environmental influences on Child Health Outcomes IDeA States Pediatric Clinical Trials Network (ECHO ISPCTN). The primary objective is to assess recruitment rate for consecutive recruitment (approaching recently seen eligible patients in consecutive order by date seen) compared to traditional recruitment (such as posters, flyers, tear-offs), as well as to assess retention, dose, and blinding. If successful, this trial will support the implementation of a large multi-state trial directed at addressing obesity in rural children and their families recruited from their primary care clinics. Registered with ClinicalTrials.gov NCT ID NCT04142034.
BACKGROUND AND OBJECTIVES: Variation in pediatric medical care is common and contributes to differences in patient outcomes. Site-to-site variation in the characteristics and care of infants with neonatal opioid withdrawal syndrome (NOWS) has yet to be quantified. Our objective was to describe site-to-site variation in maternal-infant characteristics, infant management, and outcomes for infants with NOWS. METHODS: Cross-sectional study of 1377 infants born between July 1, 2016, and June 30, 2017, who were ≥36 weeks’ gestation, with NOWS (evidence of opioid exposure and NOWS scoring within the first 120 hours of life) born at or transferred to 1 of 30 participating hospitals nationwide. Site-to-site variation for each parameter within the 3 domains was measured as the range of individual site-level means, medians, or proportions. RESULTS: Sites varied widely in the proportion of infants whose mothers received adequate prenatal care (31.3%–100%), medication-assisted treatment (5.9%–100%), and prenatal counseling (1.9%–75.5%). Sites varied in the proportion of infants with toxicology screening (50%–100%) and proportion of infants receiving pharmacologic therapy (6.7%–100%), secondary medications (1.1%–69.2%), and nonpharmacologic interventions including fortified feeds (2.9%–90%) and maternal breast milk (22.2%–83.3%). The mean length of stay varied across sites (2–28.8 days), as did the proportion of infants discharged with their parents (33.3%–91.1%). CONCLUSIONS: Considerable site-to-site variation exists in all 3 domains. The magnitude of the observed variation makes it unlikely that all infants are receiving efficient and effective care for NOWS. This variation should be considered in future clinical trial development, practice implementation, and policy development.