Pediatric Primary Care Billing Trends After the 2021 Evaluation and Management Coding Changes.

This cross-sectional study examines the differences in billing trends for pediatric patient care compared with adult care after the 2021 evaluation and management (E/M) policy changes.

Age and Probability of Spontaneous Umbilical Hernia Closure.

This cohort study of children younger than 6 years uses electronic health records to investigate whether a child's age is associated with the probability of spontaneous umbilical hernia closure and to refine guidelines for surgical repair.

Improving Short Course Treatment of Pediatric Infections: A Randomized Quality Improvement Trial.

BACKGROUND AND OBJECTIVES: Short courses of antibiotic treatment are effective for pediatric community-acquired pneumonia (CAP) and skin and soft tissue infections (SSTI). We compared the effectiveness of education with performance feedback, clinical decision support (CDS), and the combination in encouraging appropriately short treatment courses by primary care clinicians. METHODS: We designed a site-randomized, quality improvement trial within a large pediatric primary care network. Each practice was randomly assigned to 1 of 4 groups: education and feedback; CDS; both interventions ("combined group"); and control. We performed difference-in-differences analysis to compare the proportion of cases with short course treatment before and after intervention among the 4 groups. RESULTS: For all cases of CAP and SSTI, the proportion in the control group treated with the recommended duration did not change from the baseline period (26.1% [679 of 2603]) to the intervention period (25.8% [196 of 761]; P = .9). For the education and feedback group, the proportion rose from 22.3% (428 of 1925) to 45.0% (239 of 532; P < .001); for the CDS group, from 26.6% (485 of 1824) to 52.3% (228 of 436; P < .001); and for the combined group, from 26.2% (491 of 1875) to 67.8% (314 of 463; P < .001). A difference-in-differences analysis showed that all 3 intervention groups improved performance compared with the control group (P < .001); the combined group had greater improvement than the education and feedback group or the CDS group (P < .001). CONCLUSIONS: In this quality improvement project to encourage shorter duration treatment of CAP and SSTI, both education with performance feedback and CDS were effective in modifying clinician behavior; however, the combination of the two was substantially more effective than either strategy alone.

Patterns and Predictors of Health Care Utilization After Pediatric Concussion: A Retrospective Cohort Study.

OBJECTIVE: To characterize types, duration, and intensity of health care utilization following pediatric concussion and to identify risk factors for increased post-concussion utilization. METHODS: A retrospective cohort study of children 5 to 17 years old diagnosed with acute concussion at a quaternary center pediatric emergency department or network of associated primary care clinics. Index concussion visits were identified using International Classification of Diseases, Tenth Revision, Clinical Modification codes. We analyzed patterns of health care visits 6 months before and after the index visit using interrupted time-series analyses. The primary outcome was prolonged concussion-related utilization, defined as having ≥1 follow-up visits with a concussion diagnosis more than 28 days after the index visit. We used logistic regressions to identify predictors of prolonged concussion-related utilization. RESULTS: Eight hundred nineteen index visits (median [interquartile range] age, 14 [11-16] years; 395 [48.2%] female) were included. There was a spike in utilization during the first 28 days after the index visit compared to the pre-injury period. Premorbid headache/migraine disorder (adjusted odds ratio (aOR) 2.05, 95% confidence interval [CI] 1.09-3.89) and top quartile pre-injury utilization (aOR 1.90, 95% CI 1.02-3.52) predicted prolonged concussion-related utilization. Premorbid depression/anxiety (aOR 1.55, 95% CI 1.31-1.83) and top quartile pre-injury utilization (aOR 2.29, 95% CI 1.95-2.69) predicted increased utilization intensity. CONCLUSIONS: Health care utilization is increased during the first 28 days after pediatric concussion. Children with premorbid headache/migraine disorders, premorbid depression/anxiety, and high baseline utilization are more likely to have increased post-injury health care utilization. This study will inform patient-centered treatment but may be limited by incomplete capture of post-injury utilization and generalizability.

Pediatric Primary-Care Integrated Behavioral Health: A Framework for Reducing Inequities in Behavioral Health Care and Outcomes for Children.

Nearly half of US children and adolescents will suffer a behavioral health (BH) disorder, with substantially higher rates among more disadvantaged children such as racial/ethnic minorities, LGBTQ + youth, and poor children. The current specialty pediatric BH workforce is inadequate to meet the need and the uneven distribution of specialists as well as other barriers to care, such as insurance coverage and systemic racism/bias, further exacerbate disparities in BH care and outcomes. Integrating BH care into the pediatric primary care medical home has the potential to expand access to BH care and reduce the disparities inherent in the current system.

Impact of the Coronavirus Disease 2019 Pandemic on Mental Health Visits in Pediatric Primary Care.

OBJECTIVES: Describe the impact of the coronavirus disease 2019 (COVID-19) pandemic on pediatric primary care visits for 7 mental health categories before and during the COVID-19 pandemic. METHODS: This interrupted time series analysis compared the rate of mental health visits to pediatric primary care providers in Massachusetts before and during the COVID-19 pandemic. Three time periods were defined: prepandemic period (January 2019-February 2020), emergency pandemic period (March 2020-May 2020), and pandemic period (June 2020-September 2021). The 7 mental health visit diagnoses included alcohol and substance use disorders, anxiety disorders, attention-deficit hyperactivity disorders, behavior disorders, eating disorders, mood disorders (depressive and bipolar), and stress or trauma disorders. RESULTS: Significant increases in slope (P < .001) were observed for eating disorder visits, with the annualized visit rate increasing from 9.3 visits per 1000 patients per year in the prepandemic period to 18.3 in the pandemic period. For mood disorder visits, the annualized visit rate increased from 65.3 in the prepandemic period to 94.0 in the pandemic period. Significant decreases in level and slope (both P < .001) were observed for alcohol and substance use disorder visits, with the annualized visit rate decreasing from 5.8 in the prepandemic period to 5.5 in the pandemic period. CONCLUSIONS: Eating disorder visits and mood disorder visits significantly increased, whereas alcohol and substance use disorder visits significantly decreased during the pandemic period among pediatric patients, highlighting the need to identify and manage mental health conditions in the pediatric primary care setting.

Trends in Telehealth Antibiotic Prescribing for Children Through the COVID-19 Pandemic.

BACKGROUND AND OBJECTIVES: Telehealth visits increased significantly during the coronavirus disease 2019 pandemic without consensus on the appropriate scope of telehealth antibiotic prescribing within pediatric primary care. We describe telehealth antibiotic prescribing patterns within our statewide pediatric primary care network during the coronavirus disease 2019 pandemic. METHODS: In a retrospective observational study of a large statewide pediatric primary care network, we identified and analyzed telehealth and in-person encounters with oral antibiotics prescribed from March 2020 to July 2021. We focused on the top 5 general diagnosis groupings using International Classification of Disease 10 codes. RESULTS: Of the 55 926 encounters with an oral antibiotic prescribed, 12.5% were conducted via telehealth and 87.5% in person. The proportion of telehealth antibiotic encounters varied significantly according to diagnosis category (P <.001): ear (30.8%), skin and subcutaneous (21.8%), respiratory (18.8%), genitourinary (6.3%), and Lyme disease infections (3.8%). The proportion of telehealth antibiotic encounters for all diagnosis categories peaked in spring of 2020. The greatest proportion of telehealth antibiotic prescribing during the most recent 4weeks of the analysis were Lyme disease infections (11.7%) and for skin and subcutaneous tissue infections (3.1%). CONCLUSIONS: Telehealth continues to be used to prescribe antibiotics even after the initial stage of the pandemic. Clinicians and patients would benefit from clearer guidelines about the appropriate use of antibiotics prescribed during telehealth encounters.

Development and Validation of the Asthma Exacerbation Risk Score Using Claims Data.

OBJECTIVE: Pediatric asthma is a costly and complex disease with proven interventions to prevent exacerbations. Finding the patients at highest risk of exacerbations is paramount given limited resources. Insurance claims identify all outpatient, inpatient, emergency, pharmacy, and diagnostic services. The objective was to develop a risk score indicating the likelihood of asthma exacerbation within the next year based on prior utilization. METHODS: A retrospective analysis of insurance claims for patients 2 to 18 years in a network in Massachusetts with 3 years of continuous enrollment in a commercial plan. Thirty-six potential predictors of exacerbation in the third year were assessed with a stepwise regression. Retained predictors were weighted relative to their contribution to asthma exacerbation risk and summed to create the Asthma Exacerbation Risk (AER) score. RESULTS: In a cohort of 28,196 patients, there were 10 predictors associated with the outcome of having an asthma exacerbation in the next year that depend on age, meeting the Healthcare Effectiveness Data and Information Set persistent asthma criteria, fill patterns of asthma medications and oral steroids, counts of nonexacerbation outpatient visits, an exacerbation in the last 6 months, and whether spirometry was performed. The AER score is calculated monthly from a claims database to identify potential patients for an asthma home-visiting program. CONCLUSIONS: The AER score assigns a risk of exacerbation within the next 12 months using claims data to identify patients in need of preventive services.

The Antibiotic Likelihood Index: A New Measure of Antimicrobial Stewardship for Pediatric Primary Care Based on Reason for Visit.

BACKGROUND: Quality metrics for antibiotic prescribing by pediatricians are limited. We sought to define a novel measure that assesses clinicians' overall antibiotic prescribing. METHODS: Using electronic health record (EHR) data from 2018 to 2019 for children 3 months to 17 years of age from 53 practices within a large pediatric network, we grouped encounters into Reason for Visit categories using the classification system of the National Ambulatory Medical Care Survey and analyzed the proportion of encounters with an antibiotic prescription. Categories were sorted according to the attributable proportion of encounters with an antibiotic prescribed. The proposed metric-the Antibiotic Likelihood Index (ALI)-was defined as the proportion of encounters with an antibiotic prescribed among categories that accounted for >80% of all encounters with an antibiotic prescribed. The ALI was calculated for the entire network and for individual prescribers, and the distribution among prescribers was described. RESULTS: Six Reason for Visit categories-cough, ear complaints, fever, sore throat, rash, and congestion/upper respiratory infection-accounted for 82.4% of all antibiotics prescribed. Among the 222 682 encounters for the top 6 categories combined, 67 368 (30.3%) had an antibiotic prescribed, defined as the ALI for the entire sample. The index among individual prescribers ranged from 7.5% to 57.2% (interquartile range 24.3% to 34.9%). The correlation for individual prescribers between 2018 and 2019 was high (R2 = 0.80). CONCLUSIONS: The ALI, a proposed new metric of pediatric antibiotic prescribing, can be readily calculated from EHR data and captures the range of antibiotic prescribing among pediatricians for common clinical scenarios.

Five-Phase Replication of Behavioral Health Integration in Pediatric Primary Care.

BACKGROUND AND OBJECTIVES: Because of severe and protracted shortages of pediatric behavioral health (BH) specialists, collaboration between pediatric primary care practitioners (PCPs) and BH specialists has the potential to increase access to BH services by expanding the BH workforce. In a previous study, we demonstrated that phase 1 of a behavioral health integration program (BHIP) enrolling 13 independently owned, community-based pediatric practices was associated with increased access to BH services while averting substantial cost increases and achieving high provider self-efficacy and professional satisfaction. The current study was undertaken to assess whether the initial access findings were replicated over 4 subsequent implementation phases and to explore the practicality of broad dissemination of the BHIP model. METHODS: After phase 1, BHIP was extended over 4 subsequent phases in a stepped-wedge design to 46 additional pediatric practices, for a total cohort of 59 practices (354 PCPs serving >300 000 patients). Program components comprised BH education and consultation and support for integrated practice transformation; these components facilitated on-site BH services by an interprofessional BH team. Outcomes were assessed quarterly, preprogram and postprogram launch. RESULTS: Across combined phases 1 to 5, BHIP was associated with increased primary care access to BH services (screening, psychotherapy, PCP BH visits, psychotropic prescribing) and performed well across 7 standard implementation outcome domains (acceptability, appropriateness, feasibility, fidelity, adoption, penetration, and sustainability). Emergency BH visits and attention-deficit/hyperactivity disorder prescribing were unchanged. CONCLUSIONS: These findings provide further support for the potential of integrated care to increase access to BH services in pediatric primary care.

A Broad-Based Approach to Social Needs Screening in a Pediatric Primary Care Network.

OBJECTIVE: In 2016, the American Academy of Pediatrics recommended universally screening patients for social needs, and in 2018, a quality measure for social needs screening was included in some Massachusetts Medicaid contracts. However, exact guidelines for screening were not provided. We describe the results and implications from a broad-based health-related social needs (HRSN or "social needs") screening program within our large, pediatric primary care network. METHODS: We adapted items from The Health Leads toolkit to create our network's screening tool: The Health Needs Assessment (HNA). We trained staff to use the tool and provided staff with resources to assist families with their needs. All patients with a primary care physician in the network were eligible to complete an HNA. We calculated descriptive statistics and estimated the risk of identifying a social need using multivariable regression analyses. RESULTS: Between June 2018 and May 2019, 100,097 patients completed an HNA; 8% of patients identified a social need, and 33% of those patients requested assistance with the need(s). The multivariate analysis revealed an association between several patient characteristics-health insurance type, age, median household income by zip code, complex chronic conditions, race/ethnicity-and identifying a social need. CONCLUSIONS: Our large, pediatric primary care network successfully instituted a broad-based HRSN screening program in response to state and national screening recommendations. We observed a low prevalence of reported social needs and a propensity to forego assistance. Additional research is needed to understand the barriers around the disclosure of social needs and requests for assistance.

Effect of an Electronic Health Record Transition on the Provision of Recommended Well Child Services in Pediatric Primary Care Practices.

We sought to determine the effect of transitioning between electronic health record (EHR) systems on the quality of preventive care in a large pediatric primary care network. To study this, we performed a retrospective chart analysis of 42 primary care practices from the Pediatric Physicians' Organization at Children's who transitioned EHRs. We reviewed 24 random encounters per week distributed evenly across 6 age categories before, during, and after a transition period. We reviewed encounter documentation for age-appropriate well child services, per American Academy of Pediatrics/Bright Futures guidelines. Logistic regression and statistical process control analysis were used. In the pretransition period, 84.5% of all recommended elements were documented versus 86.4% posttransition (P = .04). Documentation of age-appropriate anticipatory guidance showed significant positive change (69.0% to 80.2%, P = .005), but it was the only subdomain with a statistically significant increase. These increases suggest that EHR transitions have the opportunity to affect the delivery of preventive care.

Five-Year Outcomes of Behavioral Health Integration in Pediatric Primary Care.

BACKGROUND AND OBJECTIVES: In the context of protracted shortages of pediatric behavioral health (BH) specialists, BH integration in pediatric primary care can increase access to BH services. The objectives of this study were to assess the structure and process of pediatric BH integration and outcomes in patient experience (access and quality), cost, and provider satisfaction. METHODS: In 2013, we launched a multicomponent, transdiagnostic integrated BH model (Behavioral Health Integration Program [BHIP]) in a large pediatric primary care network in Massachusetts. Study participants comprised the first 13 practices to enroll in BHIP (Phase-1). Phase-1 practices are distributed across Greater Boston, with ∼105 primary care practitioners serving ∼114 000 patients. Intervention components comprised in-depth BH education, on-demand psychiatric consultation, operational support for integrated practice transformation, and on-site clinical BH service. RESULTS: Over 5 years, BHIP was associated with increased practice-level BH integration (P < .001), psychotherapy (P < .001), and medical (P = .04) BH visits and guideline-congruent medication prescriptions for anxiety and depression (P = .05) and attention-deficit/hyperactivity disorder (P = .05). Total ambulatory BH spending increased by 8% in constant dollars over 5 years, mainly attributable to task-shifting from specialty to primary care. Although an initial decline in emergency BH visits from BHIP practices was not sustained, total emergency BH spending decreased by 19%. BHIP providers reported high BH self-efficacy and professional satisfaction from BHIP participation. CONCLUSIONS: Findings from this study suggest that integrating BH in the pediatric setting can increase access to quality BH services while engendering provider confidence and satisfaction and averting substantial increases in cost.

Effect of Computer-Based Substance Use Screening and Brief Behavioral Counseling vs Usual Care for Youths in Pediatric Primary Care: A Pilot Randomized Clinical Trial.

Importance: Annual preventive health visits provide an opportunity to screen youths for unhealthy substance use and intervene before serious harm results. Objectives: To assess the feasibility and acceptability and estimate the efficacy of a primary care computer-facilitated screening and practitioner-delivered brief intervention (CSBI) system compared with usual care (UC) for youth substance use and associated risk of riding with an impaired driver. Design, Setting, and Participants: An intent-to-treat pilot randomized clinical trial compared CSBI with UC among 965 youths aged 12 to 18 years at 5 pediatric primary care offices and 54 practitioners. Patients were randomized to CSBI (n = 628) or usual care (n = 243) groups within practitioner with 12 months of follow-up. Data were collected from February 1, 2015, to December 31, 2017. Data analysis was performed January 1, 2018, to March 30, 2019. Interventions: Patients self-administered a computer-facilitated substance use screening questionnaire before their annual preventive health visits. Immediately after completing the screening, they received their score and level of risk and viewed 10 pages of scientific information and true-life vignettes illustrating health risks associated with substance use. Trained practitioners received the screening results, patients' risk levels, talking points designed to prompt brief counseling, and recommended follow-up plans. Main Outcomes and Measures: Feasibility and acceptability were assessed using adolescents' postvisit ratings. Days of alcohol use, cannabis use, and heavy episodic drinking were assessed at baseline and 3-, 6-, 9-, and 12-month follow-ups using Timeline Followback, and riding in the past 3 months with a driver who was impaired by use of alcohol or other drugs was assessed using 2 self-report items. The primary outcome was the intervention effect among at-risk youths who reported using alcohol or other drugs in the past 12 months or riding with an impaired driver in the past 3 months at baseline. The secondary outcome was the prevention effect among those with no prior use or risk. Results: Among 871 youths screened, 869 completed the baseline assessment; 211 of the 869 reported alcohol or cannabis use in the past 12 months at baseline (mean [SD] age, 16.4 [1.3] years; 114 [54.1%] female; 105 [49.8%] non-Hispanic white). Of the 211 youths, 148 (70.1%) were assigned to the CSBI group and 63 (29.9%) were assigned to the UC group. Among youths in the CSBI group, 105 (70.9%) reported receiving counseling about alcohol, 122 (82.4%) reported receiving counseling about cannabis, and 129 (87.2%) reported receiving counseling about not riding with an impaired driver. Adjusted hazard ratios for time to first postvisit use of alcohol or other drugs for CSBI vs UC were as follows: alcohol use, 0.69 (95% CI, 0.47-1.02); heavy episodic drinking, 0.66 (95% CI, 0.40-1.10); and cannabis use, 0.62 (95% CI, 0.41-0.94). At 12-month follow-ups among 99 youths who reported having ridden in the past 3 months at baseline with an impaired driver (64 in the CSBI group; 35 in the UC group), adjusted relative risk ratio of riding in the past 3 months with an impaired driver for CSBI vs UC groups was 0.58 (95% CI, 0.37-0.91). No intervention effect was observed among youths who reported no prior use of alcohol or other drugs (n = 658) or not having ridden with an impaired driver (n = 769) at baseline. Conclusions and Relevance: The CSBI system is a feasible and acceptable option for screening youths in primary care practice for use of alcohol and other drugs and for risk of riding with an impaired driver, and the estimated efficacy in this sample warrants further testing in larger samples. Trial Registration: ClinicalTrials.gov identifier: NCT00227877.