Even Children Can Have High Blood Pressure.

This JAMA Pediatrics Patient Page describes high blood pressure in children.

Using Electronic Health Records for the Learning Health System: Creation of a Diabetes Research Registry.

Electronic health records (EHRs) were originally developed for clinical care and billing. As such, the data are not collected, organized, and curated in a fashion that is optimized for secondary use to support the Learning Health System. Population health registries provide tools to support quality improvement. These tools are generally integrated with the live EHR, are intended to use a minimum of computing resources, and may not be appropriate for some research projects. Researchers may require different electronic phenotypes and variable definitions from those typically used for population health, and these definitions may vary from study to study. Establishing a formal registry that is mapped to the Observation Medical Outcomes Partnership common data model provides an opportunity to add custom mappings and more easily share these with other institutions. Performing preprocessing tasks such as data cleaning, calculation of risk scores, time-to-event analysis, imputation, and transforming data into a format for statistical analyses will improve efficiency and make the data easier to use for investigators. Research registries that are maintained outside the EHR also have the luxury of using significant computational resources without jeopardizing clinical care data. This paper describes a virtual Diabetes Registry at Atrium Health Wake Forest Baptist and the plan for its continued development.

Evaluation for Bleeding Disorders in Suspected Child Abuse.

Bruising or bleeding in a child can raise the concern for child abuse. Assessing whether the findings are the result of trauma and/or whether the child has a bleeding disorder is critical. Many bleeding disorders are rare, and not every child with bruising/bleeding that may raise a concern for abuse requires an evaluation for bleeding disorders. However, in some instances, bleeding disorders can present in a manner similar to child abuse. Bleeding disorders cannot be ruled out solely on the basis of patient and family history, no matter how extensive. The history and clinical evaluation can be used to determine the necessity of an evaluation for a possible bleeding disorder, and prevalence and known clinical presentations of individual bleeding disorders can be used to guide the extent of laboratory testing. This clinical report provides guidance to pediatricians and other clinicians regarding the evaluation for bleeding disorders when child abuse is suspected.

Social Risk Factors Influence Pediatric Emergency Department Utilization and Hospitalizations.

OBJECTIVE: To characterize the association of children's social risk factors with total number of emergency department (ED) visits or hospitalization and time to first subsequent ED or hospitalization. STUDY DESIGN: This was a retrospective cohort study of patients seen at a general pediatric clinic between 2017 and 2021 with documented ≥1 social risk factors screened per visit. Negative binomial or Poisson regression modeled ED utilization and hospitalizations as functions of the total number of risk factors or each unique risk factor. Time-varying Cox models were used to evaluate differences between those who screened positive and those who screened negative, controlling for demographic and clinical covariates. RESULTS: Overall, 4674 patients (mean age, 6.6 years; 49% female; 64% Hispanic; 21% Black) were evaluated across a total of 20 927 visits. Children with risk factors had higher rates of attention-deficit hyperactivity disorder, failure to gain weight, asthma, and prematurity compared with children with no risk (all P < .01). Adjusted models show a positive association between increased total number of factors and ED utilization (incidence rate ratio [IRR], 1.18; 95% CI, 1.12-1.23) and hospitalizations (IRR, 1.36; 95% CI, 1.26-1.47). There were no associations between a positive screen and time to first ED visit (hazard ratio [HR], 0.95; 95% CI, 0.85-1.06; P = .36) or hospitalization (HR, 1.15; 95% CI, 0.84-1.59; P = .40). CONCLUSIONS: Social risk factors were associated with increased ED utilization and hospitalizations at the patient level but were not significantly associated with time to subsequent acute care use. Future research should evaluate the effect of focused interventions on health care utilization, such as those addressing food insecurity and transportation challenges.

Screening for Problematic Sleep in a Diverse Sample of Infants.

OBJECTIVE: To examine screening strategies for identifying problematic sleep in a diverse sample of infants. METHODS: Parents of infants (5-19 months; N = 3,271) presenting for a primary care visit responded to five screening items and the Infant Sleep Questionnaire (ISQ), a validated measure of problematic infant sleep. If parents responded affirmatively to any screening item, primary care providers received a prompt to evaluate. For each of the screening questions, we examined differences in item endorsement and criterion related validity with the ISQ. Using conceptual composites of night waking and sleep difficulty, prevalence, criterion-related validity, and concurrent demographic correlates were analyzed. RESULTS: Infants were primarily of Black race (50.1%) or Hispanic ethnicity (31.7%), with the majority (63.3%) living in economically distressed communities. Rates of problematic sleep ranged from 7.4%, for a single item assessing parental perception of an infant having a sleep problem, to 74.0%, for a single item assessing night wakings requiring adult intervention. Items assessing sleep difficulty had high (95.0-97.8%) agreement with the ISQ in identifying infants without problematic sleep, but low agreement (24.9-34.0%) in identifying those with problematic sleep. The opposite was true for items assessing night waking, which identified 91.0-94.6% of those with sleep problems but only 31.8-46.9% of those without. CONCLUSIONS: Screening strategies for identifying problematic infant sleep yielded highly variable prevalence rates and associated factors, depending on whether the strategy emphasized parent-perceived sleep difficulty or night wakings. The strategy that is most appropriate will depend on the system's goals.

How can healthcare professionals provide guidance and support to parents of adolescents? Results from a primary care-based study.

BACKGROUND: This study explored the rewards and difficulties of raising an adolescent and investigated parents' level of interest in receiving guidance from healthcare providers on parenting and adolescent health topics. Additionally, this study investigated whether parents were interested in parenting programs in primary care and explored methods in which parents want to receive guidance. METHODS: Parents of adolescents (ages 12-18) who attended an outpatient pediatric clinic with their adolescent were contacted by telephone and completed a short telephone survey. Parents were asked open-ended questions regarding the rewards and difficulties of parenting and rated how important it was to receive guidance from a healthcare provider on certain parenting and health topics. Additionally, parents reported their level of interest in a parenting program in primary care and rated how they would like to receive guidance. RESULTS: Our final sample included 104 parents, 87% of whom were interested in a parenting program within primary care. A variety of parenting rewards and difficulties were associated with raising an adolescent. From the list of parenting topics, communication was rated very important to receive guidance on (65%), followed by conflict management (50%). Of health topics, parents were primarily interested in receiving guidance on sex (77%), mental health (75%), and alcohol and drugs (74%). Parents in the study wanted to receive guidance from a pediatrician or through written literature. CONCLUSIONS: The current study finds that parents identify several rewarding and difficult aspects associated with raising an adolescent and are open to receiving guidance on a range of parenting topics in a variety of formats through primary care settings. Incorporating such education into healthcare visits could improve parents' knowledge. Healthcare providers are encouraged to consider how best to provide parenting support during this important developmental time period.

Improving Patient-Centered Communication about Sudden Unexpected Death in Epilepsy through Computerized Clinical Decision Support.

BACKGROUND: Sudden unexpected death in epilepsy (SUDEP) is a rare but fatal risk that patients, parents, and professional societies clearly recommend discussing with patients and families. However, this conversation does not routinely happen. OBJECTIVES: This pilot study aimed to demonstrate whether computerized decision support could increase patient communication about SUDEP. METHODS: A prospective before-and-after study of the effect of computerized decision support on delivery of SUDEP counseling. The intervention was a screening, alerting, education, and follow-up SUDEP module for an existing computerized decision support system (the Child Health Improvement through Computer Automation [CHICA]) in five urban pediatric primary care clinics. Families of children with epilepsy were contacted by telephone before and after implementation to assess if the clinician discussed SUDEP at their respective encounters. RESULTS: The CHICA-SUDEP module screened 7,154 children age 0 to 21 years for seizures over 7 months; 108 (1.5%) reported epilepsy. We interviewed 101 families after primary care encounters (75 before and 26 after implementation) over 9 months. After starting CHICA-SUDEP, the number of caregivers who reported discussing SUDEP with their child's clinician more than doubled from 21% (16/75) to 46% (12/26; p = 0.03), and when the parent recalled who brought up the topic, 80% of the time it was the clinician. The differences between timing and sampling methodologies of before and after intervention cohorts could have led to potential sampling and recall bias. CONCLUSION: Clinician-family discussions about SUDEP significantly increased in pediatric primary care clinics after introducing a systematic, computerized screening and decision support module. These tools demonstrate potential for increasing patient-centered education about SUDEP, as well as incorporating other guideline-recommended algorithms into primary and subspecialty cares. CLINICAL TRIAL REGISTRATION: clinicaltrials.gov, NCT03502759.

Enhancing Safe Sleep Counseling by Pediatricians through a Quality Improvement Learning Collaborative.

BACKGROUND: Approximately, 3,500 infants die annually from sleep-related infant deaths in the United States. We sought to improve pediatricians' counseling on safe sleep from birth through 6 months of age through a virtual quality improvement learning collaborative (QILC). Our aim was appropriate screening, counseling, and documentation of safe sleep advice in 75% of eligible patient encounters after the QILC. METHODS: We formed a 9-month QILC for inpatient and outpatient pediatricians. Pediatricians collected data on safe sleep documentation in a newborn discharge or well-child visit note. Data were submitted at baseline and in 9 subsequent phases. Participants met monthly via a webinar, which included a QI presentation, data review, and facilitated discussion among participants. Practices were contacted 12 months after the conclusion of the QILC to assess sustainment. RESULTS: Thirty-four pediatricians from 4 inpatient and 9 outpatient practices participated in the QILC. At baseline, documentation of safe sleep practices varied greatly (0%-98%). However, by the end of the QILC, all participating practices were documenting safe sleep guidance in over 75% of patient encounters. Aggregate practice data show a significant, sustained improvement. The 12-month follow-up data were submitted from 62% of practices, with sustainment of improvement in 75% of practices. CONCLUSION: A facilitated, virtual QILC is an effective methodology to improve safe sleep counseling among a diverse group of pediatric practices. It is one step in improving consistent messaging around safe sleep by healthcare providers as pediatricians work to decrease sleep-related infant deaths.

Clinician Perceptions of a Computerized Decision Support System for Pediatric Type 2 Diabetes Screening.

OBJECTIVE: With the increasing prevalence of type 2 diabetes (T2D) in youth, primary care providers must identify patients at high risk and implement evidence-based screening promptly. Clinical decision support systems (CDSSs) provide clinicians with personalized reminders according to best evidence. One example is the Child Health Improvement through Computer Automation (CHICA) system, which, as we have previously shown, significantly improves screening for T2D. Given that the long-term success of any CDSS depends on its acceptability and its users' perceptions, we examined what clinicians think of the CHICA diabetes module. METHODS: CHICA users completed an annual quality improvement and satisfaction questionnaire. Between May and August of 2015 and 2016, the survey included two statements related to the T2D-module: (1) "CHICA improves my ability to identify patients who might benefit from screening for T2D" and (2) "CHICA makes it easier to get the lab tests necessary to identify patients who have diabetes or prediabetes." Answers were scored using a 5-point Likert scale and were later converted to a 2-point scale: agree and disagree. The Pearson chi-square test was used to assess the relationship between responses and the respondents. Answers per cohort were compared using the Mann-Whitney U-test. RESULTS: The majority of respondents (N = 60) agreed that CHICA improved their ability to identify patients who might benefit from screening but disagreed as to whether it helped them get the necessary laboratories. Scores were comparable across both years. CONCLUSION: CHICA was endorsed as being effective for T2D screening. Research is needed to improve satisfaction for getting laboratories with CHICA.

The Natural Course of Adolescent Depression Treatment in the Primary Care Setting.

INTRODUCTION: Little is known about how adolescents receive depression follow-up in primary care. The purpose of this study was to describe the rates of symptom assessment and depression treatment over time in a group of adolescents screening positive for moderate or severe depression in the primary care setting. METHODS: Retrospective chart reviews were conducted to gather information related to symptom reassessments, antidepressant prescriptions, psychotherapy referrals, and treatment discontinuation. Descriptive statistics were calculated, and a qualitative content analysis was conducted to determine the reasons for treatment discontinuation. RESULTS: Eighty records were reviewed (mean age = 15.3, 73% female, 59% Black). Treatment was initiated for 83% (n = 66) of patients, and 45% (n = 30) of patients discontinued treatment during the review period for a variety of reasons. DISCUSSION: To improve adolescents' adherence to depression treatment, providers should address factors that contribute to treatment discontinuation and use tools to manage depression follow-up care.

Effect of a Computer-Based Decision Support Intervention on Autism Spectrum Disorder Screening in Pediatric Primary Care Clinics: A Cluster Randomized Clinical Trial.

Importance: Universal early screening for autism spectrum disorder (ASD) is recommended but not routinely performed. Objective: To determine whether computer-automated screening and clinical decision support can improve ASD screening rates in pediatric primary care practices. Design, Setting, and Participants: This cluster randomized clinical trial, conducted between November 16, 2010, and November 21, 2012, compared ASD screening rates among a random sample of 274 children aged 18 to 24 months in urban pediatric clinics of an inner-city county hospital system with or without an ASD screening module built into an existing decision support software system. Statistical analyses were conducted from February 6, 2017, to June 1, 2018. Interventions: Four clinics were matched in pairs based on patient volume and race/ethnicity, then randomized within pairs. Decision support with the Child Health Improvement Through Computer Automation system (CHICA) was integrated with workflow and with the electronic health record in intervention clinics. Main Outcomes and Measures: The main outcome was screening rates among children aged 18 to 24 months. Because the intervention was discontinued among children aged 18 months at the request of the participating clinics, only results for those aged 24 months were collected and analyzed. Rates of positive screening results, clinicians' response rates to screening results in the computer system, and new cases of ASD identified were also measured. Main results were controlled for race/ethnicity and intracluster correlation. Results: Two clinics were randomized to receive the intervention, and 2 served as controls. Records from 274 children (101 girls, 162 boys, and 11 missing information on sex; age range, 23-30 months) were reviewed (138 in the intervention clinics and 136 in the control clinics). Of 263 children, 242 (92.0%) were enrolled in Medicaid, 138 (52.5%) were African American, and 96 (36.5%) were Hispanic. Screening rates in the intervention clinics increased from 0% (95% CI, 0%-5.5%) at baseline to 68.4% (13 of 19) (95% CI, 43.4%-87.4%) in 6 months and to 100% (18 of 18) (95% CI, 81.5%-100%) in 24 months. Control clinics had no significant increase in screening rates (baseline, 7 of 64 children [10.9%]; 6-24 months after the intervention, 11 of 72 children [15.3%]; P = .46). Screening results were positive for 265 of 980 children (27.0%) screened by CHICA during the study period. Among the 265 patients with positive screening results, physicians indicated any response in CHICA in 151 (57.0%). Two children in the intervention group received a new diagnosis of ASD within the time frame of the study. Conclusions and Relevance: The findings suggest that computer automation, when integrated with clinical workflow and the electronic health record, increases screening of children for ASD, but follow-up by physicians is still flawed. Automation of the subsequent workup is still needed. Trial Registration: ClinicalTrials.gov identifier: NCT01612897.

Caregiver Comfort in Adolescents Independently Completing Screening Tablet-Based Questionnaires at Primary Care Visits.

PURPOSE: The objective of this study was to assess caregiver comfort regarding adolescent completion of computerized health screening questionnaires created for adolescents. METHODS: We conducted a mixed-method, cross-sectional survey of caregivers of adolescent patients (n = 104) aged 12-18 years who had a medical visit between June 2017 and August 2017. Topics assessed included who completed the questionnaire, caregiver comfort and concern regarding questionnaire data, and caregiver reasons for involvement in completing the questionnaire. A one-way analysis of variance was used to compare the age of the adolescent and caregiver involvement in the questionnaire. RESULTS: The majority of adolescents (64%) reported independent completion of the questionnaire. Thirteen percent of caregivers completed the questionnaire with no involvement of the adolescent and 23% reported that caregivers and adolescents completed the questionnaire in tandem. The majority of caregivers (84%) were comfortable with adolescents completing the questionnaire. A variety of reasons were identified for caregivers completing the questionnaire (time constraints, 22%; adolescent requested caregiver help, 19%; caregiver desired to answer questions, 14%; caregiver did not realize that the questionnaire was intended for the adolescent, 11%; caregiver believed that the adolescent was too young to respond alone, 11%). Caregiver comfort with adolescent completing the questionnaire increase with age. CONCLUSION: We found the reason most caregivers gave for completing the questionnaires were related to clinic processes (e.g. time constraints). Caregivers were more likely to complete the questionnaire with younger adolescents. Thus, pediatricians should consider how to best prepare families for initial questionnaires in primary care.

Women's Preferences for Maternal and Neonatal Morbidity and Mortality in Childbirth.

Purpose. To measure utility values that describe women's willingness to tradeoff maternal morbidity for fetal benefit among pregnant and nonpregnant women of reproductive age. Methods. We recruited English-speaking women aged 18 to 45 years in clinical and community-based settings. Eight health states were studied: 4 maternal (healthy, stroke, hysterectomy, death) and 4 neonatal (healthy, severe cerebral palsy [CP], severe mental retardation [MR], death). Utilities were assessed on a subset of 9 pairs of mom/baby delivery outcomes. Participants ranked the 9 pairs of outcomes in order of preference, then standard gamble methods were used to calculate utilities. Numeracy skills were assessed. Results. Utilities were obtained from 477 participants (recruitment rate = 94%). Twenty-one percent were pregnant, 63% were parents, and 54% were African American. Utilities did not differ significantly between pregnant and nonpregnant women or based on numeracy score. The highest (nonhealthy) values were assigned to baby healthy/mom hysterectomy (0.999), baby healthy/mom stroke (0.946), and baby CP/mom healthy (0.940). The lowest values were assigned to baby death/mom hysterectomy (0.203), baby MR/mom death (0.150), and baby death/mom stroke (0.087). Nonwhite participants assigned a significantly higher value to baby MR/mom death (P = 0.01), baby MR/mom stroke (P = 0.02), baby MR/mom healthy (P < 0.01), and baby MR/mom hysterectomy (P = 0.02) than white participants. Conclusion. When asked to value pairs of maternal/fetal outcomes that required a tradeoff of morbidity and mortality, women tended to assign the highest utility to combinations that resulted in a "healthy baby." They assigned the lowest values to combinations that resulted in a baby's death or MR. Our findings highlight the importance of 1) assessing individual preferences and goals of care for pregnancy outcomes and 2) measuring utilities among reproductive-aged women when modeling obstetric decision making.

Cost Minimization Analysis of Same-Day Long-Acting Reversible Contraception for Adolescents.

Importance: Long-acting reversible contraception (LARC) is considered first-line contraception for adolescents but often requires multiple clinic visits to obtain. Objective: To analyze Indiana Medicaid's cost savings associated with providing adolescents with same-day access to LARC. Design, Setting, and Participants: An economic evaluation of cost minimization from the payer's (Medicaid) perspective was performed from August 2017 through August 2018. The cost model examined the anticipated outcome of providing LARC at the first visit compared with requiring a second visit for placement. The costs and probabilities of clinic visits, devices, device insertions and removals, unintended pregnancy, and births, according to previously published sources, were incorporated into the model. The participants were payers (Medicaid). Main Outcomes and Measures: The outcomes were the cost of same-day LARC placement vs LARC placement at a subsequent visit in US dollars, and rates of unintended pregnancy and abortion. One-way sensitivity analysis was done. Results: Same-day LARC placement was associated with lower overall costs ($2016 per patient over 1 year) compared with LARC placement at a subsequent visit ($4133 per patient over 1 year). Compared with the return-visit strategy, same-day LARC was associated with an unintended pregnancy rate of 14% vs 48% and an abortion rate of 4% vs 14%. Conclusions and Relevance: Providing same-day LARC could save costs for Medicaid, largely by preventing unintended pregnancy. Expected cost savings could be used to implement policies that make this strategy feasible in all clinical settings.

Physician clinical decision support system prompts and administration of subsequent doses of HPV vaccine: A randomized clinical trial.

BACKGROUND: HPV vaccine is effective in preventing several cancers and anogenital warts, yet rates of HPV vaccination series completion in the United States are low. A primary reason identified by parents for vaccinating children against HPV is a health care provider's recommendation. Although most clinicians embrace vaccine recommendations, they are not always carried out evenly and subsequent HPV vaccines are missed. METHODS: Using an electronic health records-based decision support system (CHICA) clinicians were randomized to either usual practice or to receive an automated reminder to recommend the 2nd or 3rd dose of HPV vaccine. The reminder was delivered to clinicians of all intervention group eligible adolescents who had already initiated the vaccine series. Logistic regression models with generalized estimating equations were used for data analysis. RESULTS: A total of 1285 clinical encounters were observed across 29 randomized pediatric providers over a 13-month time frame (50.7% control group, 49.3% intervention group). Overall, patients were 44.9% female, 59.4% Black, 22.1% Hispanic, and 48.8% were ages 11-12 yrs. Within the control group, 421 (64.7%) received a subsequent HPV vaccine, compared to 481 (75.9%) (OR: 1.72, (95% CI 1.35-2.19)). Adjusted analysis showed no difference between the groups (aOR 1.52 (95% CI 0.88-2.62)) or when examined by age (11-12yrs aOR 1.66, (95% CI 0.79-3.48)) and 13-17yrs (aOR 1.19, (95% CI 0.76-1.85)) or gender female (aOR 1.39 (95% CI 0.71-2.72)) and males (aOR 1.67 (95% CI 0.95-2.92)). When results were stratified by both age and gender, there was similarly no statistically significant effect between the two groups. CONCLUSIONS: Automated physician reminders for subsequent 2nd and 3rd doses of HPV vaccination were used. Despite increased rates of vaccination in the intervention group, the differences did not reach the level of statistical significance. Future studies with multifaceted approaches may be needed to examine the efficacy of computer-based reminders. CLINICAL TRIAL REGISTRATION: NCT02558803, "HPV Vaccination: Evaluation of Reminder Prompts for Doses 2 & 3".