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This study aimed to assess the incremental cost-effectiveness ratio (ICER) of a 2-year motivational interviewing (MI) intervention versus usual primary care.A national trial was implemented in the Pediatric Research in Office Settings (PROS) network of the American Academy of Pediatrics to evaluate MI versus usual care for children (2-8 years old; baseline BMI 85th-97th percentiles). Health care use, food costs, provider fees, and training costs were assessed, and sensitivity analyses were conducted. Primary outcome was the ICER, calculated as cost per unit change in BMI percentile for intervention versus usual care.At 2 years, 72% of enrolled parent/child dyads were retained; 312 children were included in the analysis. Mean BMI percentile point change was -4.9 and -1.8 for the intervention and control, respectively, yielding an incremental reduction of 3.1 BMI percentile points (95% CI: 1.2-5.0). The intervention cost $1051 per dyad ($658 for training DVD development). Incorporating health care and non-health care costs, the intervention ICER was $363 (range from sensitivity analyses: cost saving, $3159) per BMI percentile point decrease per participant over 2 years.Training pediatricians, nurse practitioners, and registered dietitians to deliver MI-based interventions for childhood obesity in primary care is clinically effective and acceptably cost-effective. Future work should explore this approach in broader dissemination.

Purpose. To determine the percentage of parents who report quitting spontaneously and examine the factors associated with these quits. Methods. As part of a cluster randomized control trial addressing parental smoking in a pediatric outpatient setting, 12-month follow-up survey data were collected from parents who had self-identified as smokers when exiting from 10 control practices. Parents were considered to have made a spontaneous quit if they reported not smoking a cigarette, even a puff, in the last 7 days and chose the statement “I did not plan the quit in advance; I just did it” when describing how their quit attempt started. Results. Of the 981 smoking parents enrolled at baseline, 710 (72%) completed the 12-month follow-up. Of these, 123 (17%) reported quitting, of whom 50 (41%) reported quitting spontaneously. In multivariable analysis, parents who reported smoking on some days vs. every day (OR 3.06 (95% CI 1.42, 6.62)) and that nobody had smoked in their home/car vs. someone had smoked in these settings in the past 3 months (OR 2.19 (95% CI 1.06, 4.54)) were more likely to quit spontaneously. Conclusions. This study shows that, of parents who quit smoking, a substantial percentage report quitting spontaneously and that intermittent smoking and smoke-free home/car policies are associated with reports of quitting spontaneously. Promoting smoke-free home/car policies, especially when parents are not willing to make a plan to quit smoking, might increase the likelihood that parents decide to quit without advance planning. Pediatric healthcare providers are uniquely positioned to use the child’s visit to motivate parents to quit smoking and eliminate their child’s exposure to tobacco smoke, regardless of the frequency of smoking or a readiness to plan a quit attempt. Clinical Trial Registration. This trial is registered with NCT01882348.

Objective The aim of the study is to identify how academic health centers (AHCs) have established infrastructures to leverage electronic health record (EHR) data to support research and quality improvement (QI). Methods Phone interviews of 18 clinical informaticians with expertise gained over three decades at 24 AHCs were transcribed for qualitative analysis on three levels. In Level I, investigators independently used NVivo software to code and identify themes expressed in the transcripts. In Level II, investigators reexamined coded transcripts and notes and contextualized themes in the learning health system paradigm. In Level III, an informant subsample validated and supplemented findings. Results Level I analysis yielded six key “determinants”—Institutional Relationships, Resource Availability, Data Strategy, Response to Change, Leadership Support, and Degree of Mission Alignment—which, according to local context, affect use of EHR data for research and QI. Level II analysis contextualized these determinants in a practical frame of reference, yielding a model of learning health system maturation, over-arching key concepts, and self-assessment questions to guide AHC progress toward becoming a learning health system. Level III informants validated and supplemented findings. Discussion Drawn from the collective knowledge of experienced informatics professionals, the findings and tools described offer practical support to help clinical informaticians leverage EHR data for research and QI in AHCs. Conclusion The learning health system model builds on the tripartite AHC mission of research, education, and patient care. AHCs must deliberately transform into learning health systems to capitalize fully on EHR data as a staple of health learning.

Introduction In 2011, the National Heart, Lung and Blood Institute and American Academy of Pediatrics concluded that both familial and obesity-associated dyslipidemias increase cardiovascular risk and recommended universal cholesterol testing at ages 9 to 11. It remains unknown whether testing influences body mass index (BMI) trajectory, a key modifiable cardiovascular outcome. Methods This quasi-experimental-matched cohort includes children aged 9 to 11 years completing well visits in a diverse primary care network from 2012 to 2014. Participants had baseline BMI ≥85th% and no prior cholesterol testing. Propensity score matching identified untested children similar to tested children on weight measures, practice site, sex, age, race, ethnicity, insurance, and well visit frequency. Change in BMI z-score was assessed over 18 months. Regression adjusted for residual confounding following matching. Data were analyzed in 2018. Results Matching improved balance between tested and untested children for all characteristics. The matched cohort of 1808 children was predominantly non-Latino black (48%) or non-Latino white (33%), and Medicaid insured (39%). Baseline BMI z-score was 1.88 for tested and 1.84 for untested children. Of tested children, 25% had cholesterol levels above the 2011 guideline's "acceptable" range. Two children received cholesterol lowering medications. Adjusted analysis found no difference in change in BMI z-score between tested and untested children (0.02, 95% confidence interval −0.01, 0.04). Conclusions Individual risk assessment in the form of cholesterol testing is not associated with change in BMI trajectory among overweight and obese children. Though testing may identify familial hypercholesterolemia, results suggest testing does not change BMI trajectory, a key strategy to reduce cardiovascular risk.

Objectives We initiated an outpatient pulse oximetry program to facilitate more rapid detection of clinical deterioration of persons with COVID-19. Methods Vermont residents in non-congregate settings with laboratory-confirmed SARS-CoV-2 infection were eligible for inclusion. Results Acceptance of pulse oximetry occurred more frequently among those who were older or symptomatic, spoke English, or who had underlying medical conditions. Conclusions We provide the first description of an outpatient pulse oximetry program for COVID-19 by a state health department in the U.S.

OBJECTIVES: To determine the natural history of pediatric hypertension. METHODS: We conducted a 72-month retrospective cohort study among 165 primary care sites. Blood pressure measurements from two consecutive 36 month periods were compared. RESULTS: Among 398 079 primary care pediatric patients ages 3 to 18, 89 347 had ≥3 blood pressure levels recorded during a 36-month period, and 43 825 children had ≥3 blood pressure levels for 2 consecutive 36-month periods. Among these 43 825 children, 4.3% (1881) met criteria for hypertension (3.5% [1515] stage 1, 0.8% [366] stage 2) and 4.9% (2144) met criteria for elevated blood pressure in the first 36 months. During the second 36 months, 50% (933) of hypertensive patients had no abnormal blood pressure levels, 22% (406) had elevated blood pressure levels or CONCLUSIONS: In a primary care cohort, most children initially meeting criteria for hypertension or elevated blood pressure had subsequent normal blood pressure levels or did not receive recommended follow-up measurements. These results highlight the need for more nuanced initial blood pressure assessment and systems to promote follow-up of abnormal results.

Pediatric primary care (PPC) arose in the early 20th century as the fusion of acute and chronic pediatric illness care with preventive elements borrowed from public and maternal and child health. Well-established and thriving by the 1930s, PPC saw major changes in childhood morbidity and mortality in the latter half of the 20th century with the recognition of the "new morbidity" of school, behavior, and social problems. At the same time, PPC experienced changes in its workforce, which became increasingly female and added nurse practitioners and physician assistants as practitioners. Independent practice, previously the dominant business model, decreased in prominence at the end of the 20th century as health systems bought practices and other sites morphed into federally qualified health centers. In the present century, electronic health records (EHRs) have brought profound changes in PPC workflows and practitioner experience. In addition, disruptive market competition such as retail clinics and corporate telemedicine providers coupled with changes in health insurance from fee-for-service to value-based payment further challenge the care model and economics of PPC. Finally, recognition of family social circumstances as major determinants of children's health presents another challenge to the status quo. As such, although one PPC future may resemble its present state, a more innovative future is likely to include clinics and practices more oriented toward and linked to communities and directed at the social determinants of health. In addition, the rise in physical, behavioral, and social problems in practice call for a growing focus on wellness, including sleep, nutrition, and activity, that promises to reorient the PPC future in productive new directions. The half-way technology of current EHR systems will ideally be spun into electronic hubs that facilitate teamwork between PPC, specialists, and community groups. Research and practice improvement strategies including involvement in "learning health systems" will be critical to making PPC effective in an evolving society. Although threatened by 21st century forces and hard-to-anticipate change, PPC is ideally positioned to build upon its core functions to create multidisciplinary teams that reach into the community, promoting a holistic wellness for children consistent with the broadest definition of health.

Medical documentation arose as individual case reports written for teaching purposes. Documentation for patient care later occurred in physicians' personal daybooks and only evolved into the individual patient record in the early 20th century. Dr. Lawrence Weed improved the utility of the patient record by introducing a problem-oriented/subject-object-assessment-plan structure and he and other innovators transformed the patient record into electronic form. Pediatricians built on these innovations to create a child health electronic health record (EHR) for primary care. An American Academy of Pediatrics task force formally specified the child-specific needs of the EHR, but much work remains to integrate the EHR into the pediatric primary care of the future.

Objective Large electronic health record (EHR) datasets are increasingly used to facilitate research on growth, but measurement and recording errors can lead to biased results. We developed and tested an automated method for identifying implausible values in pediatric EHR growth data. Materials and Methods Using deidentified data from 46 primary care sites, we developed an algorithm to identify weight and height values that should be excluded from analysis, including implausible values and values that were recorded repeatedly without remeasurement. The foundation of the algorithm is a comparison of each measurement, expressed as a standard deviation score, with a weighted moving average of a child’s other measurements. We evaluated the performance of the algorithm by (1) comparing its results with the judgment of physician reviewers for a stratified random selection of 400 measurements and (2) evaluating its accuracy in a dataset with simulated errors. Results Of 2 000 595 growth measurements from 280 610 patients 1 to 21 years old, 3.8% of weight and 4.5% of height values were identified as implausible or excluded for other reasons. The proportion excluded varied widely by primary care site. The automated method had a sensitivity of 97% (95% confidence interval [CI], 94–99%) and a specificity of 90% (95% CI, 85–94%) for identifying implausible values compared to physician judgment, and identified 95% (weight) and 98% (height) of simulated errors. Discussion and Conclusion This automated, flexible, and validated method for preparing large datasets will facilitate the use of pediatric EHR growth datasets for research.

PURPOSE Despite the benefits of well-child care visits, up to one-half of these visits are missed. Little is known about why children miss them, so we undertook a qualitative study to elucidate these factors. METHODS We interviewed 17 caregivers whose children had missed well-child visits and 6 clinicians, focusing on 3 areas: the value of well-child visits, barriers to attendance, and facilitators of attendance. Transcripts were analyzed with a grounded theory approach and thematic analysis. RESULTS Caregivers and clinicians identified similar important aspects of well-child visits: immunizations, detection of disease, and monitoring of growth and development. Both groups identified similar barriers to attendance: transportation, difficulty taking time off from work, child care, and other social stressors. CONCLUSIONS Further work to explore how addressing social determinants of health might improve attendance of well-child visits is needed.

Background: Practitioner communication is one of the most important influences and predictors of HPV vaccination uptake. The objective of this study was to conduct a latent class analysis characterizing pediatric practitioner HPV recommendation patterns. Methods: Pediatric practitioners of the American Academy of Pediatrics' (AAP) Pediatric Research in Office Settings (PROS) national network completed an online survey where they were presented with 5 hypothetical vignettes of well child visits and responded to questions. Questions asked about their use of communication strategies, assessments about the adolescent patient becoming sexually active in the next 2years for decision-making about HPV vaccine recommendation, and peer norms. Latent class analysis characterized practitioner subgroups based on their response patterns to 10 survey questions. Multinomial logistic regression examined practitioner characteristics associated with each profile. Results: Among 470 respondents, we identified three distinct practitioner HPV vaccine recommendation profiles: (1) Engagers (52%) followed national age-based guidelines, strongly recommended HPV vaccination, and perceived peers as strongly recommending; (2) Protocol Followers (20%) also strongly recommended HPV vaccination, but were less likely to engage families in a discussion about benefits; and (3) Ambivalent HPV Vaccine Recommenders (28%) delayed or did not recommend HPV vaccination and were more likely to use judgment about whether adolescents will become sexually active in the next two years. Practicing in a suburban setting was associated with twice the odds of being an Ambivalent Recommender relative to being an Engager (OR=2.2; 95% CI:1.1-4.1). Conclusions: Findings underscore the importance of continued efforts to bolster practitioner adoption of evidence-based approaches to HPV vaccine recommendation especially among Ambivalent Recommenders.

Rates of childhood obesity in the United States remain at historic highs. The pediatric primary care office represents an important yet underused setting to intervene with families. One factor contributing to underuse of the primary care setting is lack of effective available interventions. One evidence-based method to help engage and motivate patients is motivational interviewing, a client-centered and goal-oriented style of counseling used extensively to increase autonomous motivation and modify health behaviors. This article summarizes the methods and results from a large trial implemented in primary care pediatric office and concludes with recommendations for improving the intervention and increasing its dissemination.

Patient experience, 1 of 3 aims for improving health care, is rarely included in studies of patient-centered medical home (PCMH) transformation. This study examines the association between patient experience and National Committee on Quality Assurance (NCQA) PCMH transformation.This was a cross-sectional study of parent-reported child patient experience from PCMH and non-PCMH practices. It used randomly sampled experience surveys completed by 2599 patients at 29 pediatric and family medicine PCMH (n = 21) and non-PCMH (n = 8) practices in Vermont from 2011 to 2013. Patient experiences related to child development and prevention were assessed using the Consumer Assessment of Health care Providers and Systems (CAHPS).A 10-point increase in NCQA score at PCMH practices is associated with a 3.1% higher CAHPS child prevention score (P = .004). Among pediatric practices, PCMH recognition is associated with 7.7% (P.0005) and 7.2% (P.0005) higher CAHPS child development and prevention composite scores, respectively. Among family medicine practices, PCMH recognition is associated with 7.4% (P = .001) and 11.0% (P.0005) lower CAHPS child development and prevention composite scores, respectively.Our results suggest that PCMH recognition may improve child patient experience at pediatric practices and worsen experience at family medicine practices. These findings warrant further investigation into the differential influence of NCQA PCMH transformation on family medicine and pediatric practices.

BACKGROUND AND OBJECTIVES: It is unclear which specific well-child visits (WCVs) are most frequently missed and whether age-specific patterns of attendance differ by race or insurance type. METHODS: We conducted a retrospective cohort study of children 0 to 6 years old between 2011 and 2016 within 2 health networks spanning 20 states. WCVs were identified by using International Classification of Diseases, Ninth and 10th Revisions and Current Procedural Terminology codes. We calculated adherence to the 13 American Academy of Pediatrics–recommended WCVs from birth to age 6 years. To address data completeness, we made 2 adherence calculations after a child’s last recorded WCV: 1 in which we assumed all subsequent WCVs were attended outside the network and 1 in which we assumed none were. RESULTS: We included 152 418 children in our analysis. Most children were either publicly insured (77%) or uninsured (14%). The 2-, 4-, and 6-month visits were the most frequently attended (63% [assuming no outside care after the last recorded WCV] to 90% [assuming outside care]), whereas the 15- and 18-months visits (41%–75%) and 4-year visit (19%–49%) were the least frequently attended. Patients who were publicly insured and uninsured (versus privately insured) had higher odds of missing WCVs. Hispanic and Asian American (versus non-Hispanic white) patients had higher odds of attending WCVs. DISCUSSION The 15- and 18-month WCVs as well as the 4-year WCV are the least frequently attended WCVs. The former represent opportunities to identify developmental delays, and the latter represents an opportunity to assess school readiness.

PURPOSE Conducting studies in national practice-based research networks presents logistic and methodologic challenges. Pediatric Research in Office Settings (PROS) has learned valuable lessons in implementing new strategies and adapting to challenges. We describe practical challenges and results of novel applied strategies in implementing and testing the Clinical Effort Against Secondhand Smoke Exposure (CEASE) intervention as part of a national-level cluster-randomized controlled trial. METHODS In the trial, 20 PROS practices were randomized to either a CEASE intervention arm or a control arm. Parents of children seen in the office who indicated smoking in the past 7 days were asked to complete a postvisit enrollment interview and telephone interviews 3 and 12 months later. Identified challenges included (1) recruiting 20 practices serving a high percentage of parent smokers; (2) screening all parents bringing children for visits and enrolling eligible parents who smoked; and (3) achieving an acceptable 12-month telephone response rate. RESULTS A total of 47 interested practices completed the Practice Population Survey, of which 20 practices in 16 states completed parent enrollment. Thirty-two research assistants screened 18,607 parents and enrolled 1,980 of them. The initial telephone interview response rate was 56% at 12 months, with incorrect and disconnected numbers accounting for nearly 60% of nonresponses. The response rate rose to 67% after practices supplied 532 new contact numbers and 754 text messages were sent, with 389 parents completing interviews. CONCLUSION The strategies we used to overcome methodologic barriers in conducting a national intervention trial allowed data collection to be completed in the office setting and increased the telephone interview response rate.

BACKGROUND AND OBJECTIVE:Few studies have tested the impact of motivational interviewing (MI) delivered by primary care providers on pediatric obesity. This study tested the efficacy of MI delivered by providers and registered dietitians (RDs) to parents of overweight children aged 2 through 8.METHODS:Forty-two practices from the Pediatric Research in Office Settings Network of the American Academy of Pediatrics were randomly assigned to 1 of 3 groups. Group 1 (usual care) measured BMI percentile at baseline and 1- and 2-year follow-up. Group 2 (provider only) delivered 4 MI counseling sessions to parents of the index child over 2 years. Group 3 (provider + RD) delivered 4 provider MI sessions plus 6 MI sessions from a RD. The primary outcome was child BMI percentile at 2-year follow up.RESULTS:At 2-year follow-up, the adjusted BMI percentile was 90.3, 88.1, and 87.1 for groups 1, 2, and 3, respectively. The group 3 mean was significantly (P = .02) lower than group 1. Mean changes from baseline in BMI percentile were 1.8, 3.8, and 4.9 across groups 1, 2, and 3.CONCLUSIONS:MI delivered by providers and RDs (group 3) resulted in statistically significant reductions in BMI percentile. Research is needed to determine the clinical significance and persistence of the BMI effects observed. How the intervention can be brought to scale (in particular, how to train physicians to use MI effectively and how best to train RDs and integrate them into primary care settings) also merits future research.

Objective To assess the utility of imputing race/ethnicity using U.S. Census race/ethnicity, residential address, and surname information compared to standard missing data methods in a pediatric cohort. Data Sources/Study Setting Electronic health record data from 30 pediatric practices with known race/ethnicity. Study Design In a simulation experiment, we constructed dichotomous and continuous outcomes with pre-specified associations with known race/ethnicity. Bias was introduced by nonrandomly setting race/ethnicity to missing. We compared typical methods for handling missing race/ethnicity (multiple imputation alone with clinical factors, complete case analysis, indicator variables) to multiple imputation incorporating surname and address information. Principal Findings Imputation using U.S. Census information reduced bias for both continuous and dichotomous outcomes. Conclusions The new method reduces bias when race/ethnicity is partially, nonrandomly missing.

Importance Acute respiratory tract infections account for the majority of antibiotic exposure in children, and broad-spectrum antibiotic prescribing for acute respiratory tract infections is increasing. It is not clear whether broad-spectrum treatment is associated with improved outcomes compared with narrow-spectrum treatment. Objective To compare the effectiveness of broad-spectrum and narrow-spectrum antibiotic treatment for acute respiratory tract infections in children. Design, Setting, and Participants A retrospective cohort study assessing clinical outcomes and a prospective cohort study assessing patient-centered outcomes of children between the ages of 6 months and 12 years diagnosed with an acute respiratory tract infection and prescribed an oral antibiotic between January 2015 and April 2016 in a network of 31 pediatric primary care practices in Pennsylvania and New Jersey. Stratified and propensity score–matched analyses to account for confounding by clinician and by patient-level characteristics, respectively, were implemented for both cohorts. Exposures Broad-spectrum antibiotics vs narrow-spectrum antibiotics. Main Outcomes and Measures In the retrospective cohort, the primary outcomes were treatment failure and adverse events 14 days after diagnosis. In the prospective cohort, the primary outcomes were quality of life, other patient-centered outcomes, and patient-reported adverse events. Results Of 30 159 children in the retrospective cohort (19 179 with acute otitis media; 6746, group A streptococcal pharyngitis; and 4234, acute sinusitis), 4307 (14%) were prescribed broad-spectrum antibiotics including amoxicillin-clavulanate, cephalosporins, and macrolides. Broad-spectrum treatment was not associated with a lower rate of treatment failure (3.4% for broad-spectrum antibiotics vs 3.1% for narrow-spectrum antibiotics; risk difference for full matched analysis, 0.3% [95% CI, −0.4% to 0.9%]). Of 2472 children enrolled in the prospective cohort (1100 with acute otitis media; 705, group A streptococcal pharyngitis; and 667, acute sinusitis), 868 (35%) were prescribed broad-spectrum antibiotics. Broad-spectrum antibiotics were associated with a slightly worse child quality of life (score of 90.2 for broad-spectrum antibiotics vs 91.5 for narrow-spectrum antibiotics; score difference for full matched analysis, −1.4% [95% CI, −2.4% to −0.4%]) but not with other patient-centered outcomes. Broad-spectrum treatment was associated with a higher risk of adverse events documented by the clinician (3.7% for broad-spectrum antibiotics vs 2.7% for narrow-spectrum antibiotics; risk difference for full matched analysis, 1.1% [95% CI, 0.4% to 1.8%]) and reported by the patient (35.6% for broad-spectrum antibiotics vs 25.1% for narrow-spectrum antibiotics; risk difference for full matched analysis, 12.2% [95% CI, 7.3% to 17.2%]). Conclusions and Relevance Among children with acute respiratory tract infections, broad-spectrum antibiotics were not associated with better clinical or patient-centered outcomes compared with narrow-spectrum antibiotics, and were associated with higher rates of adverse events. These data support the use of narrow-spectrum antibiotics for most children with acute respiratory tract infections.

* Abbreviations: AAP — : American Academy of Pediatrics AOM — : acute otitis media PCV — : pneumococcal conjugate vaccine Acute otitis media (AOM) is, by far, the most common indication for antibiotic prescribing to children.1 Thus, understanding the epidemiology of AOM is important to optimize clinical outcomes and promote judicious antibiotic use. In this issue of Pediatrics , Kaur et al2 offer a community-based glimpse into 21st century AOM. Notably, the authors summarize the current bacteriology of AOM in the patients of Legacy Pediatrics, a research-oriented primary care practice in Rochester, New York. It is gratifying to note that research from individual practice settings is alive and well. Pichichero and co-workers3–5 have been tracking changes in bacteriology of AOM at Legacy Pediatrics since 2007. He previously published work with similar methodology6 on patients … Address correspondence to Richard C. Wasserman, MD, MPH, Department of Pediatrics, Larner College of Medicine, One South Prospect St, Burlington, VT 05401. E-mail: richard.wasserman{at}med.uvm.edu

Purpose Use electronic health record (EHR) data to (1) estimate the risk of arrhythmia associated with inhaled short-acting beta-2 agonists (SABA) in pediatric patients and (2) determine whether risk varied by on-label versus off-label prescribing. Methods Retrospective cohort study of 335 041 children ≤18 years using EHR primary care data from 2 pediatric health systems (2011-2013). A series of monthly pseudotrials were created, using propensity score methodology to balance baseline characteristics between SABA-exposed (identified by prescription) and SABA-unexposed children. Association between SABA and subsequent arrhythmia for each health system was estimated through pooled logistic regression with separate estimates for children initiating under and over 4 years old (off-label and on-label, respectively). Results Eleven percent of the cohort received a SABA prescription, 57% occurred under the age of 4 years (off-label). During the follow-up period, there were 283 first arrhythmia events, most commonly atrial tachyarrhythmias and premature ventricular/atrial contractions. In 1 health system, adjusted risk for arrhythmia was increased among exposed children (OR 1.89, 95% CI 1.31-2.73) without evidence of interaction between label status and risk. The absolute adjusted rate difference was 3.6/10 000 person-years of SABA exposure. The association between SABA exposure and arrhythmias was less strong in the second system (OR 1.26, 95% CI 0.30-5.33). Conclusion Using EHR data, we could estimate the risk of a rare event associated with medication use and determine difference in risk related to on-label versus off-label status. These findings support the value of EHR-based data for postmarketing drug studies in the pediatric population.

* Abbreviations: EHR — : electronic health record FDA — : US Food and Drug Administration Each year, hundreds of millions of prescription medications are dispensed to pediatric patients.1 A significant proportion of prescriptions are used in an off-label manner, outside the specifications approved by the US Food and Drug Administration (FDA), rendering off-label prescribing a “public health issue for infants, children and adolescents,” as described by the Committee on Drugs for the American Academy of Pediatrics.2 The committee also explicitly states that off-label use “does not imply an improper, illegal, contraindicated or investigational use.” Yet, when used in research, clinical practice, or even the lay media, the term off-label commonly carries a negative connotation. This interpretation probably reflects the sense of uncertainty in understanding the risk–benefit balance of a medication without FDA review and approval. However, prescribing according to the package insert does not necessarily translate to the safe and effective use of a medication.3 The clinical trial data required for FDA approval often represent highly select populations in controlled settings with limited follow-up. These data may not translate well to real-world use, hence the need for postmarketing surveillance and research. Conversely, lack of pediatric labeling for a medication does not necessarily indicate a lack of evidence. It may simply mean the pharmaceutical company has not submitted an application for FDA approval to add a new indication or population. This apparent paradox gives us the opportunity to consider how we, the pediatric community of clinicians, researchers, and policymakers, think about the issue of off-label prescribing and how best to direct … Address correspondence to Angela S. Czaja, MD, MSc, Mailstop 8414, 13121 E 17th Ave, Aurora, CO 80045. E-mail: angela.czaja{at}childrenscolorado.org

Objective.To compare practice patterns regarding the diagnosis and management of streptococcal pharyngitis across pediatric primary care practices.Design.Retrospective cohort study.Setting.All encounters to 25 pediatric primary care practices sharing an electronic health record.Methods.Streptococcal pharyngitis was defined by anInternational Classification of Diseases, Ninth Revisioncode for acute pharyngitis, positive laboratory test, antibiotic prescription, and absence of an alternative bacterial infection. Logistic regression models standardizing for patient-level characteristics were used to compare diagnosis, testing, and broad-spectrum antibiotic treatment for children with pharyngitis across practices. Fixed-effects models and likelihood ratio tests were conducted to analyze within-practice variation.Results.Of 399,793 acute encounters in 1 calendar year, there were 52,658 diagnoses of acute pharyngitis, including 12,445 diagnoses of streptococcal pharyngitis. After excluding encounters by patients with chronic conditions and standardizing for age, sex, insurance type, and race, there was significant variability across and within practices in the diagnosis and testing for streptococcal pharyngitis. Excluding patients with antibiotic allergies or prior antibiotic use, off-guideline antibiotic prescribing for confirmed group A streptococcal pharyngitis ranged from 1% to 33% across practices (P< .001). At the clinician level, 13 of 25 sites demonstrated significant within-practice variability in off-guideline antibiotic prescribing (P≤ .05). Only 18 of the 222 clinicians in the network accounted for half of all off-guideline antibiotic prescribing.Conclusions.Significant variability in the diagnosis and treatment of pharyngitis exists across and within pediatric practices, which cannot be explained by relevant clinical or demographic factors. Our data support clinician-targeted interventions to improve adherence to prescribing guidelines for this common condition.

OBJECTIVE: To improve human papillomavirus (HPV) vaccination rates, we studied the effectiveness of targeting automated decision support to families, clinicians, or both. METHODS: Twenty-two primary care practices were cluster-randomized to receive a 3-part clinician-focused intervention (education, electronic health record-based alerts, and audit and feedback) or none. Overall, 22 486 girls aged 11 to 17 years due for HPV vaccine dose 1, 2, or 3 were randomly assigned within each practice to receive family-focused decision support with educational telephone calls. Randomization established 4 groups: family-focused, clinician-focused, combined, and no intervention. We measured decision support effectiveness by final vaccination rates and time to vaccine receipt, standardized for covariates and limited to those having received the previous dose for HPV #2 and 3. The 1-year study began in May 2010. RESULTS: Final vaccination rates for HPV #1, 2, and 3 were 16%, 65%, and 63% among controls. The combined intervention increased vaccination rates by 9, 8, and 13 percentage points, respectively. The control group achieved 15% vaccination for HPV #1 and 50% vaccination for HPV #2 and 3 after 318, 178, and 215 days. The combined intervention significantly accelerated vaccination by 151, 68, and 93 days. The clinician-focused intervention was more effective than the family-focused intervention for HPV #1, but less effective for HPV #2 and 3. CONCLUSIONS: A clinician-focused intervention was most effective for initiating the HPV vaccination series, whereas a family-focused intervention promoted completion. Decision support directed at both clinicians and families most effectively promotes HPV vaccine series receipt.

Despite the significant attention and resources committed to the prevention and treatment of childhood obesity, the epidemic shows no sign of abating.1 Although all children are at risk for obesity, there are marked disparities by race/ethnicity, socioeconomic status, neighborhood, and access to health care.2 Any successful approach to addressing the overall burden of obesity must not rely solely on the healthcare system,3 but must include the implementation of policies that take into account the physical and social environment to change the eating and activity behaviors of children and their families. Examples of such policy efforts include the attempts to ban food marketing to children and to increase access to safe and appealing venues for exercise.4,5 Despite these important policy directions, efforts to sustain changes in behavior remain challenging, and the evidence about which interventions are most effective is still incomplete.6 Social networks are groupings of interconnected 2-way relationships. Modern-day social networks typically rely on social media for communication. More specifically, the term social media refers to the use of Web-based and mobile technologies that are commonly used for interaction and communication within networks. Research underscores strong associations between participation in social networks and preventive health behavior.7–11 Recently, it was observed that obesity may spread across social networks, suggesting that these networks could be leveraged for prevention or treatment.12,13 The main purpose of this statement is to evaluate the role of social networks and social media in relation to childhood obesity. We build on a recent statement by the American Heart Association directed at the management of adult weight management strategies in the ambulatory setting that focused on the use of Internet-based and other related technologies.14 In this statement, we provide an overview of social networks and …

Addressing teen driver crashes, this study adapted an effective CheckpointsTMprogram for parents of teen drivers for dissemination by primary care practitioners (PCPs) and the web; distributed the PCP/web program through pediatric practices; and examined dissemination to/implementation by parents. The website, youngDRIVERparenting.org , and brief intervention protocol were developed. PCPs delivered interventions and materials to parents, referred them to the website, and completed follow-up surveys. Google Analytics assessed parents’ website use. Most PCPs reported delivering interventions with fidelity, and thought the program important and feasible. Brief interventions/website referrals, averaging 4.4 minutes, were delivered to 3465 (87%) of 3990 eligible parents by 133 PCPs over an 18-week average. Website visits (1453) were made by 42% of parents, who spent on average 3:53 minutes viewing 4.2 topics. This program costs little (its website, training and promotional materials are available) and could be one component of a comprehensive approach to reducing teen driver crashes.

BACKGROUND AND OBJECTIVES: Pediatric hypertension predisposes children to adult hypertension and early markers of cardiovascular disease. No large-scale studies have examined diagnosis and initial medication management of pediatric hypertension and prehypertension. The objective of this study was to evaluate diagnosis and initial medication management of pediatric hypertension and prehypertension in primary care. METHODS: Retrospective cohort study aggregating electronic health record data on >1.2 million pediatric patients from 196 ambulatory clinics across 27 states. Demographic, diagnosis, blood pressure (BP), height, weight, and medication prescription data extracted. Main outcome measures include proportion of pediatric patients with ≥3 visits with abnormal BPs, documented hypertension and prehypertension diagnoses, and prescribed antihypertensive medications. Marginal standardization via logistic regression produced adjusted diagnosis rates. RESULTS: Three hundred ninety-eight thousand seventy-nine patients, ages 3 to 18, had ≥3 visits with BP measurements (48.9% girls, 58.6% CONCLUSIONS: Hypertension and prehypertension were infrequently diagnosed among pediatric patients. Guidelines for diagnosis and initial medication management of abnormal BP in pediatric patients are not routinely followed.

OBJECTIVE: To evaluate the change in the diagnosis of attention-deficit/hyperactivity disorder (ADHD) and prescribing of stimulants to children 4 to 5 years old after release of the 2011 American Academy of Pediatrics guideline. METHODS: Electronic health record data were extracted from 63 primary care practices. We included preventive visits from children 48 to 72 months old receiving care from January 2008 to July 2014. We compared rates of ADHD diagnosis and stimulant prescribing before and after guideline release using logistic regression with a spline and clustering by practice. Patterns of change (increase, decrease, no change) were described for each practice. RESULTS: Among 87 067 children with 118 957 visits before the guideline and 56 814 with 92 601 visits after the guideline, children had an ADHD diagnosis at 0.7% (95% confidence interval [CI], 0.7% to 0.8%) of visits before and 0.9% (95% CI, 0.8% to 0.9%) after guideline release and had stimulant prescriptions at 0.4% (95% CI, 0.4% to 0.4%) of visits in both periods. A significantly increasing preguideline trend in ADHD diagnosis ended after guideline release. The rate of stimulant medication use remained constant before and after guideline release. Patterns of change from before to after the guideline varied significantly across practices. CONCLUSIONS: Release of the 2011 guideline that addressed ADHD in preschoolers was associated with the end of an increasing rate of diagnosis, and the rate of prescribing stimulants remained constant. These are reassuring results given that a standardized approach to diagnosis was recommended and stimulant treatment is not first-line therapy for this age group.

BACKGROUND: Primary care pediatricians increasingly care for children’s mental health problems, but little is known about practice-level variation in diagnosis and psychotropic medication prescribing practices. METHODS: This retrospective review of electronic heath records from 43 US primary care practices included children aged 4 to 18 years with ≥1 office visit from January 1, 2009, to June 30, 2014. We examined variability in diagnosis and psychotropic prescribing across practices using logistic regression with practice fixed effects and evaluated associations of the availability of colocated or community-based mental health providers or the proportion of children in foster care with diagnosis and prescribing using generalized linear mixed models. RESULTS: Among 294 748 children, 40 932 (15%) received a mental health diagnosis and 39 695 (14%) were prescribed psychotropic medication. Attention deficit/hyperactivity disorder was most commonly diagnosed (1%–16% per practice). The proportion of children receiving any psychotropic medication (4%-26%) and the proportion receiving ≥2 medication classes (1%-12%) varied across practices. Prescribing of specific medication classes also varied (stimulants, 3%–18%; antidepressants, 1%–12%; α-agonists, 0%–8%; second-generation antipsychotics, 0%–5%). Variability was partially explained by community availability of psychiatrists (significantly higher odds of a diagnosis or prescription when not available) but not by colocation of mental health professionals or percentage of children in foster care. CONCLUSIONS: The prevalence of mental health diagnosis and psychotropic medication prescribing varies substantially across practices and is only partially explained by psychiatrist availability. Research is needed to better define the causes of variable practice-level diagnosis and prescribing and implications for child mental health outcomes.

BACKGROUND: Data from racially and ethnically diverse US boys are needed to determine ages of onset of secondary sexual characteristics and examine secular trends. Current international studies suggest earlier puberty in boys than previous studies, following recent trend in girls. METHODS: Two hundred and twelve practitioners collected Tanner stage and testicular volume data on 4131 boys seen for well-child care in 144 pediatric offices across the United States. Data were analyzed for prevalence and mean ages of onset of sexual maturity markers. RESULTS: Mean ages for onset of Tanner 2 genital development for non-Hispanic white, African American, and Hispanic boys were 10.14, 9.14, and 10.04 years and for stage 2 pubic hair, 11.47, 10.25, and 11.43 years respectively. Mean years for achieving testicular volumes of ≥3 mL were 9.95 for white, 9.71 for African American, and 9.63 for Hispanic boys; and for ≥4 mL were 11.46, 11.75, and 11.29 respectively. African American boys showed earlier (P < .0001) mean ages for stage 2 to 4 genital development and stage 2 to 4 pubic hair than white and Hispanic boys. No statistical differences were observed between white and Hispanic boys. CONCLUSIONS: Observed mean ages of beginning genital and pubic hair growth and early testicular volumes were 6 months to 2 years earlier than in past studies, depending on the characteristic and race/ethnicity. The causes and public health implications of this apparent shift in US boys to a lower age of onset for the development of secondary sexual characteristics in US boys needs further exploration.

Previous research demonstrated that as many as one-half of all clinical decisions are reached without adequate medical evidence to inform choices.1 In contrast to other areas of investigation, comparative effectiveness research (CER) directly addresses this problem. Specifically, CER uses varied study designs to generate and synthesize evidence demonstrating the benefits and harms of alternative methods to prevent, diagnose, treat, and monitor clinical conditions or improve the delivery of care.1,2 The need for CER is especially urgent in pediatrics, a field in which clinicians and families frequently depend on the generalization of medical knowledge from adult trials despite limited evidence to support the use of these treatments.3 To close these knowledge gaps, the American Recovery and Reinvestment Act of 2009 (ARRA) allocated $1.1 billion for CER.4 CER to improve child health must address the needs of families treated by primary care clinicians in the community. After the newborn period, most children are infrequently admitted to hospitals and are only occasionally cared for by pediatric subspecialists.5 To aggregate data from multiple primary care settings and avoid bias from small samples of families or clinicians, pediatric primary care practice-based research networks have increasingly informed how pediatric clinicians understand child health issues.6 However, because of the costs of manually reviewing paper-based records and collecting other data from geographically dispersed sites, the research productivity of these networks could be dramatically increased through access to electronic medical record (EMR) data.7 This potential is enhanced because EMRs are becoming increasingly common in pediatric practices8,9 as a result of ARRA incentives, which devoted $19 billion to promote their adoption.4 Through examples from The Children’s Hospital of Philadelphia (CHOP) Pediatric Research Consortium (PeRC) and the American Academy of Pediatrics (AAP) Electronic Pediatric Research in Office Settings (ePROS) networks, this review highlights the challenges and opportunities in using EMRs to foster CER and improve the delivery and outcomes of pediatric care.

Background Outpatient acute respiratory tract infections (ARTIs) account for the majority of antibiotic exposure in children. Thus, is is essential to understand the outcomes and adverse effect profiles of different therapeutic approaches to managing these common infections. In a study comparing the effectiveness of narrow- and broad-spectrum antibiotics for treatment of ARTIs, we compared rates of adverse effects reported by patients to rates obtained by the electronic health record. Methods We used a retrospective cohort and a prospective cohort, both of which included children treated with antibiotics for an ARTI (acute otitis media, Group A streptococcal pharyngitis, acute sinusitis) in a network of 31 pediatric primary care practices. In the retrospective cohort, adverse drug effects including diarrhea, candidiasis, non-candida rash, other allergic reaction, vomiting, and unspecified adverse effects were identified by ICD codes from the electronic health record (EHR). In the prospective cohort, a stratified sample of caregivers were contacted by telephone to complete two structured interviews, one at 5–10 days and one at 14–20 days post diagnosis. At the second interview, the caregiver was asked about the occurrence of diarrhea, rash, upset stomach and vomiting. Propensity-score based full matching was conducted to obtain estimates adjusted for patient and provider characteristics. Results Overall, 1038 (3.5%) of the 30086 children in the restrospective cohortexperienced an adverse effect that was captured in the EHR. and 599 (28%) of the 2085 children included in the prospective cohort reported an adverse effect. See the table for analysis results. Conclusion Narrow-spectrum antibiotics were associated with a reduced risk of adverse effects compared with broad-spectrum antibiotics in both cohorts. The rate of adverse effects observed in EHR data was nearly 10-fold lower than the rate of patient-reported adverse effects. Disclosures T. Zaoutis, Astellas: Consultant, Consulting fee; Merck: Grant Investigator, Research grant; nabriva: Consultant, Consulting fee Cohort Raw, % Adjusted analysis Narrow-spectrum Broad-spectrum Risk difference % (95% CI) p-value Risk Ratio (95% CI) EHR 3.3% 4.4% -1.3 (-2.0, -0.5)

Summary Objectives: This study will test the efficacy of motivational interviewing (MI) conducted by primary care providers and dieticians among children ages 2-8 years old with a body mass index (BMI) 85th and 97th percentile. Methods: Forty-two practices from the American Academy of Pediatrics, Pediatric Research in Office Settings Network were assigned to one of three groups. Group 1 (usual care) measures BMI percentile at baseline, and at 1- and 2-year follow-ups and receives standard health education materials. Group 2 providers deliver three proactive MI counselling sessions with a parent of the index child in Year 1 and one additional ‘booster’ visit in Year 2. Group 3 adds six MI counselling sessions from a trained dietician. The primary outcome is the child's BMI percentile at 2-year follow-up. Secondary outcomes include parent report of the child's screen time, physical activity, intake of fruits and vegetables, and sugar-sweetened beverages. Results: We enrolled 633 eligible children whose mean BMI percentile was 92.0 and mean age of 5.1. The cohort was 57% female. Almost 70% of parents reported a household income of $40 000 per year, and 39% had at least a college education. The cohort was 63% White, 23% Hispanic, 7% Black and 7% Asian. Parent self-reported confidence that their child will achieve a healthy weight was on average an 8 (out of 10). Conclusion: To date, several aspects of the study can inform similar efforts including our ability to use volunteer clinicians to recruit participants and their willingness to dedicate their time, without pay, to receive training in MI.

Electronic medical records (EMRs) are increasingly common in pediatric patient care. EMR data represent a relatively novel and rich resource for clinical research. The fact, however, that pediatric EMR data are collected for the purposes of clinical documentation and billing rather than research creates obstacles to their use in scientific investigation. Particular issues include accuracy, completeness, comparability between settings, ease of extraction, and context of recording. Although these problems can be addressed through standard strategies for dealing with partially accurate and incomplete data, a longer term solution will involve work with pediatric clinicians to improve data quality. As research becomes one of the explicit purposes for which pediatricians collect EMR data, the pediatric clinician will play a central role in future pediatric clinical research.

The recently renewed Best Pharmaceuticals for Children and Pediatric Research Equity Acts (BPCA/PREA) have continued industry incentives and opportunities for pediatric drug trials (PDTs). However, there is no current assessment of the capacity to perform PDTs. The aim of this study was to deepen understanding of the capacity for US PDTs by assessing PDT infrastructure, present barriers to PDTs, and potential approaches and solutions to identified issues. Pediatric clinical research experts participated in semi-structured interviews on current US pediatric research capacity (February–July 2007). An initial informant list was developed using purposive sampling, and supplemented and refined to generate a group of respondents to explore emerging themes. Each phone interview included a physician researcher and two health researchers who took notes and recorded the calls. Health researchers produced detailed summaries, which were verified by the physician researcher and informants. We then undertook qualitative analysis of the summaries, employing multiple coding, with the two health researchers and the physician researcher independently coding each summary for themes and subthemes. Coding variations were resolved by physician researcher/health researcher discussion and consensus achieved on themes and subthemes. The 33 informants’ primary or secondary roles included academia (n = 21), federal official (5), industry medical officer (8), pediatric research network leader (10), pediatric specialist leader (8), pediatric clinical pharmacologist (5), and practitioner/research site director (9). While most experts noted an increase in PDTs since the initial passage of BPCA/PREA, a dominant theme of insufficient US PDT capacity emerged. Subthemes included (i) lack of systems for finding, incentivizing, and/or maintaining trial sites; (ii) complexity/demands of conducting PDTs in clinical settings; (iii) inadequate numbers of qualified pediatric pharmacologists and clinician investigators trained in FDA Good Clinical Practice; and (iv) poor PDT protocol design resulting in operational and enrollment difficulties in the pediatric population. Suggested potential solutions for insufficient PDT capacity included (i) consensus-building among stakeholders to create PDT systems; (ii) initiatives to train more pediatric pharmacologists and educate clinicians in Good Clinical Practice; (iii) advocacy for PDT protocols designed by individuals sensitive to pediatric issues; and (iv) physician and public education on the importance of PDTs. Insufficient US PDT capacity may hinder the development of new drugs for children and limit studies on the safety and efficacy of drugs presently used to treat pediatric conditions. Further public policy initiatives may be needed to achieve the full promise of BPCA/PREA.

Designing cluster randomized trials in clinical studies often requires accurate estimates of intraclass correlation, which quantifies the strength of correlation between units, such as participants, within a cluster, such as a practice. Published ICC estimates, even when available, often suffer from the problem of wide confidence intervals. Using data from a national, randomized, controlled study concerning violence prevention for children--the Safety Check--we compare the ICC values derived from two approaches only baseline data and using both baseline and follow-up data. Using a variance component decomposition approach, the latter method allows flexibility in handling complex data sets. For example, it allows for shifts in the outcome variable over time and for an unbalanced cluster design. Furthermore, we evaluate the large-sample formula for ICC estimates and standard errors using the bootstrap method. Our findings suggest that ICC estimates range from 0.012 to 0.11 for providers within practice and range from 0.018 to 0.11 for families within provider. The estimates derived from the baseline-only and repeated-measurements approaches agree quite well except in cases in which variation over repeated measurements is large. The reductions in the widths of ICC confidence limits from using repeated measurement over baseline only are, respectively, 62% and 42% at the practice and provider levels. The contribution of this paper therefore includes two elements, which are a methodology for improving the accuracy of ICC, and the reporting of such quantities for pediatric and other researchers who are interested in designing clustered randomized trials similar to the current study.

Objective To develop a template to promote brief but high-quality communication between paediatric primary care clinicians and consulting specialists. Methods Through an iterative process with academic and community-based paediatric primary care providers and specialists, the authors identified what content elements would be of value when communicating around referrals. The authors then developed a one-page template to encourage both primary care and specialty clinicians to include these elements when communicating about referrals. Trained clinician reviewers examined a sample of 206 referrals from community primary care providers (PCPs) to specialists in five paediatric specialties at an academic medical centre, coding communication content and rating the overall value of the referral communication. The relationship between the value ratings and each content element was examined to determine which content elements contributed to perceived value. Results Almost all content elements were associated with increased value as rated by clinician reviewers. The most valuable communications from PCP to specialist contained specific questions for the specialist and/or physical exam features, and the most valuable from specialist to PCP contained brief education for the PCP about the condition; all three elements were found in a minority of communications reviewed. Conclusions A limited set of communication elements is suitable for a brief communication template in communication from paediatric PCPs to specialists. The use of such a template may add value to interphysician communication.

In late 2007, we established the Australian Paediatric Research Network (APRN) - a 350 member strong research network - which aims to facilitate high quality research into common, child health conditions seen in secondary care settings. Through this network we hope to engage paediatricians working at 'the coal face' to generate research ideas, take part in projects and ultimately contribute to better health care and policy for Australian children. As for adults, tertiary institutions remain the predominant site of paediatric research. Tertiary research however, is biased towards severe illness, isolated conditions, highly selected patients and single interventions. This is not always relevant to the real world that paediatricians confront every day. The APRN is off to a strong start. We have worked with members to establish their research priorities and conducted a prospective audit of their caseload to inform the relevance, feasibility and design of future APRN studies. We have developed a website (http://www.aprn.org.au) which will house useful tools for conducting research including child health measures and project design needs. We plan to call for member-initiated research proposals on an annual basis and to conduct a 'multi-topic' survey addressing up to six research topics at any one time. Although conducting research in secondary care settings poses time, cost and process challenges, all of these are firmly within the APRN's sights.

OBJECTIVES. The goals were to determine how frequently primary care clinicians reported suspected physical child abuse, the levels of suspicion associated with reporting, and what factors influenced reporting to child protective services. METHODS. In this prospective observational study, 434 clinicians collected data on 15003 child injury visits, including information about the injury, child, family, likelihood that the injury was caused by child abuse (5-point scale), and whether the injury was reported to child protective services. Data on 327 clinicians indicating some suspicion of child abuse for 1683 injuries were analyzed. RESULTS. Clinicians reported 95 (6%) of the 1683 patients to child protective services. Clinicians did not report 27% of injuries considered likely or very likely caused by child abuse and 76% of injuries considered possibly caused by child abuse. Reporting rates were increased if the clinician perceived the injury to be inconsistent with the history and if the patient was referred to the clinician for suspected child abuse. Patients who had an injury that was not a laceration, who had >1 family risk factor, who had a serious injury, who had a child risk factor other than an inconsistent injury, who were black, or who were unfamiliar to the clinician were more likely to be reported. Clinicians who had not reported all suspicious injuries during their career or who had lost families as patients because of previous reports were more likely to report suspicious injuries. CONCLUSIONS. Clinicians had some degree of suspicion that ∼10% of the injuries they evaluated were caused by child abuse. Clinicians did not report all suspicious injuries to child protective services, even if the level of suspicion was high (likely or very likely caused by child abuse). Child, family, and injury characteristics and clinician previous experiences influenced decisions to report.

Summary Correspondence: Henry H. Bernstein, D.O.,Chief, General AcademicPediatrics, DartmouthHitchcock Medical Center,One Medical Center Drive,Lebanon, NH 03756, USA.E-mail:henry.bernstein@hitchcock.org Finch SA, Lalama C, Spino C, Schwartz HC, Wasserman RC, McCormick MC, Bern-stein HH. Practice-based research network solutions to methodological challengesencountered in a national, prospective cohort study of mothers and newborns. Paedi-atric and Perinatal Epidemiology 2008; 22 : 87–98.The emergence of practice-based research networks (PBRN) has facilitated the execu-tion of multifaceted community-based studies.As study complexity increases, so doesthe number of methodological barriers encountered. This paper’s goal was to delineatemethodological barriers and to evaluate the effectiveness of selected strategies andapproaches developed and implemented in allowing a prospective, national PBRNcohort study to succeed in enrolling geographically dispersed mother/healthy terminfant dyads ( n

OBJECTIVE. The goal was to test the effectiveness of a statewide, collaborative, hospital-based quality-improvement project targeting preventive services delivered to healthy newborns during the birth hospitalization.METHODS. All Vermont hospitals with obstetric services participated. The quality-improvement collaborative (intervention) was based on the Breakthrough Series Collaborative model. Targeted preventive services included hepatitis B immunization; assessment of breastfeeding; assessment of risk of hyperbilirubinemia; performance of metabolic and hearing screens; assessment of and counseling on tobacco smoke exposure, infant sleep position, car safety seat fit, and exposure to domestic violence; and planning for outpatient follow-up care. The effect of the intervention was assessed at the end of an 18-month period. Preintervention and postintervention chart audits were conducted by using a random sample of 30 newborn medical charts per audit for each participating hospital.RESULTS. Documented rates of assessment improved for breastfeeding adequacy (49% vs 81%), risk for hyperbilirubinemia (14% vs 23%), infant sleep position (13% vs 56%), and car safety seat fit (42% vs 71%). Documented rates of counseling improved for tobacco smoke exposure (23% vs 53%) and car safety seat fit (38% vs 75%). Performance of hearing screens also improved (74% vs 97%). No significant changes were noted in performance of hepatitis B immunization (45% vs 30%) or metabolic screens (98% vs 98%), assessment of tobacco smoke exposure (53% vs 67%), counseling on sleep position (46% vs 68%), assessment of exposure to domestic violence (27% vs 36%), or planning for outpatient follow-up care (80% vs 71%). All hospitals demonstrated preintervention versus postintervention improvement of ≥20% in ≥1 newborn preventive service.CONCLUSIONS. A statewide, hospital-based quality-improvement project targeting hospital staff members and community physicians was effective in improving documented newborn preventive services during the birth hospitalization.

OBJECTIVES. Postpartum discharge of mothers and infants who are not medically or psychosocially ready may place the family at risk. Most studies of postpartum length of stay, however, do not reflect the necessary complexity of decision-making. With this study we aimed to characterize decision-making on the day of postpartum discharge from the perspective of multiple key informants and identify correlates of maternal and newborn unreadiness for discharge.PATIENTS AND METHODS. This was a prospective observational cohort study of healthy term infants with mothers, pediatric providers, and obstetricians as key informants to assess the decision-making process regarding mother-infant dyad unreadiness for discharge. A mother-infant dyad was defined as unready for postpartum hospital discharge if ≥1 of 3 informants perceived that either the mother or infant should stay longer at time of nursery discharge. Data were collected through self-administered questionnaires on the day of discharge.RESULTS. Of 4300 mother-infant dyads, unreadiness was identified in 17% as determined by the mother (11%), pediatrician (5%), obstetrician (1%), and ≥2 informants (CONCLUSIONS. Mothers, pediatricians, and obstetricians must make decisions about postpartum discharge jointly, because perceptions of unreadiness often differ. Sensitivity toward specific maternal vulnerabilities and an emphasis on perinatal education to insure individualized discharge plans may increase readiness and determine optimal timing for discharge and follow-up care.

BACKGROUND AND OBJECTIVE: Studies of the relationship of weight status with timing of puberty in boys have been mixed. This study examined whether overweight and obesity are associated with differences in the timing of puberty in US boys. METHODS: We reanalyzed recent community-based pubertal data from the American Academy of Pediatrics’ Pediatric Research in Office Settings study in which trained clinicians assessed boys 6 to 16 years for height, weight, Tanner stages, testicular volume (TV), and other pubertal variables. We classified children based on BMI as normal weight, overweight, or obese and compared median age at a given Tanner stage or greater by weight class using probit and ordinal probit models and a Bayesian approach. RESULTS: Half of boys (49.9%, n = 1931) were white, 25.8% (n = 1000) were African American, and 24.3% (n = 941) were Hispanic. For genital development in white and African American boys across a variety of Tanner stages, we found earlier puberty in overweight compared with normal weight boys, and later puberty in obese compared with overweight, but no significant differences for Hispanics. For TV (≥3 mL or ≥4 mL), our findings support earlier puberty for overweight compared with normal weight white boys. CONCLUSIONS: In a large, racially diverse, community-based sample of US boys, we found evidence of earlier puberty for overweight compared with normal or obese, and later puberty for obese boys compared with normal and overweight boys. Additional studies are needed to understand the possible relationships among race/ethnicity, gender, BMI, and the timing of pubertal development.