Risk Factors for Outpatient Use of Antibiotics in Children with Acute Respiratory Illnesses.

OBJECTIVES: Antibiotics for acute respiratory illness (ARI) constitute most pediatric medication use and contribute to the emergence of antimicrobial resistance. We investigated antibiotic prescription risk factors for ARI in pediatric clinics and clinical follow-up in individuals prescribed and not prescribed antibiotics. METHODS: In this observational study, we enrolled children ages 2 to 17 years old presenting with ARI with fever to two academic pediatric primary care outpatient clinics during influenza season 2013-2014. We collected information on demographics, initial symptoms, medical conditions, laboratory tests, discharge diagnoses, treatments, and 30 days of follow-up medical encounters. Factors associated with antibiotic prescription receipt were evaluated using logistic regression. RESULTS: Of 206 consented and enrolled children, 59 (29%) were prescribed antibiotics, 51 of 59 (86%) for indicated diagnoses: 34 for streptococcal pharyngitis, 15 for acute otitis media (AOM), and 2 for pneumonia. Discharge diagnoses were the only factors independently associated with an antibiotic prescription. Of children prescribed/not prescribed an antibiotic, 17%/17% received follow-up telephone calls and 27%/17% had follow-up visits related to ARI within 30 days. Two children with AOM were prescribed a second antibiotic during follow-up, and one developed Clostridium difficile colitis. Eighteen of 206 (9%) additional children were prescribed antibiotics within 30 days for ARI symptoms, 17 for streptococcal pharyngitis, AOM, pneumonia, or sinusitis; one was prescribed antibiotics for influenza-like illness. CONCLUSIONS: Among study children 2 to 17 years old with outpatient ARI, 29% were prescribed antibiotics at the initial visit and another 9% were prescribed antibiotics during the 30-day follow-up (most were for appropriate indications). Further decreasing antibiotic use in similar settings will likely require wider implementation of watchful waiting for AOM, a change in guidelines for pharyngitis management, and/or reductions in these diseases.

Missed opportunities for tuberculosis screening in primary care.

OBJECTIVE: To assess how frequently pediatric practitioners perform latent tuberculosis infection (LTBI) screening according to guidelines. We hypothesized that screening occurs less frequently among children whose parents do not speak English as the primary language. STUDY DESIGN: We conducted a retrospective cohort study of patients attending well-child visits in an urban academic pediatric primary care clinic between April 1, 2012, and March 31, 2013. We assessed documentation of 3 LTBI screening components and tested the association between parent primary language and tuberculin skin test (TST) placement and documentation of results. RESULTS: During the study period, 387 of 9143 children (4%) had no documentation of screening question responses. Among the other 8756 children, 831 (10%) were identified as at high risk for LTBI. Of these, 514 (62%) did not have documented TST placement in the appropriate time frame. Thirty-nine of 213 children (18%) who had a TST placed did not have documented results. Multivariable regression showed that parent language was not associated with TST placement or documentation of results, but non-Hispanic Black children were more likely to not have a documented test result (aOR, 2.12; 95% CI, 1.07-4.19; P=.03) when adjusting for age, sex, parent primary language, insurance status, day of the week, and study year of TST placement. CONCLUSION: Parent primary language was not associated with LTBI testing. However, we found substantial gaps in TST placement and documentation of TST results among high-risk children, the latter of which was associated with race/ethnicity. Targeted quality improvement efforts should focus on developing processes to ensure complete screening in high-risk children.

Strategies to identify and stratify children with special health care needs in outpatient general pediatrics settings.

Developing improved systems of care for children with special health care needs (CSHCN) requires accurate identification and stratification of this population. This study was designed to assess the ability of a brief screener to identify and stratify CSHCN in a primary care clinic to focus future quality improvement initiatives and allocate resources. All families presenting for health maintenance visits or acute care appointments at an academic primary care clinic between September 5, 2012 and September 28, 2012 were asked to complete the CSHCN Screener(©). This panel of patients was compared to registries previously created by: (1) retrospective chart reviews using published lists of International Statistical Classification of Diseases and Related Health Problems (ICD9) codes for CSHCN and (2) direct physician referral to a clinic case manager providing care coordination services to CSHCN. Screeners identified 246 CSHCN (16.8 % of unique completed screeners). Scores ranged from 0 to 5; higher scores indicate higher levels of complexity. Patients with positive screens had a mean score of 2.4. Patients previously identified by retrospective ICD9 search who completed a screener had a mean score of 1.6 with nearly one-half having negative screens. Patients previously identified by physician referral who completed a screener had a mean score of 2.7 with nearly one-half having scores of 4 or 5. The CSHCN Screener(©) can be utilized in an academic primary care clinic to prospectively identify CSHCN and potentially offers a more clinically meaningful method of identification given its inherent ability to stratify this population based on complexity of medical needs.

Enhancing Diagnostic Follow-up and Care Coordination for Children with Autism in a Busy Resident Continuity Clinic: Leveraging the Electronic Health Record.

PURPOSE: A high-quality primary care clinic should provide clear action points and important care coordination for a child receiving a new diagnosis of autism spectrum disorder (ASD). Unfortunately, a substantial proportion of caregivers report little-to-no post-diagnosis support from their home clinics and primary care providers often report lack of training and resources in providing these supports. METHODS: We implemented an intervention package to investigate the impact on the frequency and quality of follow-up care for children with ASD in a busy, high-volume resident continuity clinic. The package consisted of a care coordination scheduling pathway and a standardized clinical template-embedded in the electronic health record (EHR)-that guided providers through best-practice recommendations and patient resources. RESULTS: As a result of these interventions, 74% of patients had ASD-specific follow-up, a more than threefold increase from baseline with a majority of providers using the EHR-embedded template to guide their visit. Providers also indicated a high degree of usability for the system and that it aided them in following best-practice guidelines for ASD care. CONCLUSION: Through explicit scheduling pathways and a novel EHR template, we saw a significant increase in ASD-specific follow-up visits and implementation of best practices for ASD care, demonstrating a new process for training and engaging primary care providers in clear action steps for post-diagnostic care without having to rely on tertiary referrals.

Assessing adolescent asthma symptoms and adherence using mobile phones.

BACKGROUND: Self-report is the most common method of measuring medication adherence but is influenced by recall error and response bias, and it typically does not provide insight into the causes of poor adherence. Ecological momentary assessment (EMA) of health behaviors using mobile phones offers a promising alternative to assessing adherence and collecting related data that can be clinically useful for adherence problem solving. OBJECTIVE: To determine the feasibility of using EMA via mobile phones to assess adolescent asthma medication adherence and identify contextual characteristics of adherence decision making. METHODS: We utilized a descriptive and correlational study design to explore a mobile method of symptom and adherence assessment using an interactive voice response system. Adolescents aged 12-18 years with a diagnosis of asthma and prescribed inhalers were recruited from an academic medical center. A survey including barriers to mobile phone use, the Illness Management Survey, and the Pediatric Asthma Quality of Life Questionnaire were administered at baseline. Quantitative and qualitative assessment of asthma symptoms and adherence were conducted with daily calls to mobile phones for 1 month. The Asthma Control Test (ACT) was administered at 2 study time points: baseline and 1 month after baseline. RESULTS: The sample consisted of 53 adolescents who were primarily African American (34/53, 64%) and female (31/53, 58%) with incomes US$40K/year or lower (29/53, 55%). The majority of adolescents (37/53, 70%) reported that they carried their phones with them everywhere, but only 47% (25/53) were able to use their mobile phone at school. Adolescents responded to an average of 20.1 (SD 8.1) of the 30 daily calls received (67%). Response frequency declined during the last week of the month (b=-0.29, P<.001) and was related to EMA-reported levels of rescue inhaler adherence (r= 0.33, P=.035). Using EMA, adolescents reported an average of 0.63 (SD 1.2) asthma symptoms per day and used a rescue inhaler an average of 70% of the time (SD 35%) when they experienced symptoms. About half (26/49, 53%) of the instances of nonadherence took place in the presence of friends. The EMA-measured adherence to rescue inhaler use correlated appropriately with asthma control as measured by the ACT (r=-0.33, P=.034). CONCLUSIONS: Mobile phones provided a feasible method to assess asthma symptoms and adherence in adolescents. The EMA method was consistent with the ACT, a widely established measure of asthma control, and results provided valuable insights regarding the context of adherence decision making that could be used clinically for problem solving or as feedback to adolescents in a mobile or Web-based support system.

Using AI-generated suggestions from ChatGPT to optimize clinical decision support.

OBJECTIVE: To determine if ChatGPT can generate useful suggestions for improving clinical decision support (CDS) logic and to assess noninferiority compared to human-generated suggestions. METHODS: We supplied summaries of CDS logic to ChatGPT, an artificial intelligence (AI) tool for question answering that uses a large language model, and asked it to generate suggestions. We asked human clinician reviewers to review the AI-generated suggestions as well as human-generated suggestions for improving the same CDS alerts, and rate the suggestions for their usefulness, acceptance, relevance, understanding, workflow, bias, inversion, and redundancy. RESULTS: Five clinicians analyzed 36 AI-generated suggestions and 29 human-generated suggestions for 7 alerts. Of the 20 suggestions that scored highest in the survey, 9 were generated by ChatGPT. The suggestions generated by AI were found to offer unique perspectives and were evaluated as highly understandable and relevant, with moderate usefulness, low acceptance, bias, inversion, redundancy. CONCLUSION: AI-generated suggestions could be an important complementary part of optimizing CDS alerts, can identify potential improvements to alert logic and support their implementation, and may even be able to assist experts in formulating their own suggestions for CDS improvement. ChatGPT shows great potential for using large language models and reinforcement learning from human feedback to improve CDS alert logic and potentially other medical areas involving complex, clinical logic, a key step in the development of an advanced learning health system.

Assessing the Value of ChatGPT for Clinical Decision Support Optimization.

Objective: To determine if ChatGPT can generate useful suggestions for improving clinical decision support (CDS) logic and to assess noninferiority compared to human-generated suggestions. Methods: We supplied summaries of CDS logic to ChatGPT, an artificial intelligence (AI) tool for question answering that uses a large language model, and asked it to generate suggestions. We asked human clinician reviewers to review the AI-generated suggestions as well as human-generated suggestions for improving the same CDS alerts, and rate the suggestions for their usefulness, acceptance, relevance, understanding, workflow, bias, inversion, and redundancy. Results: Five clinicians analyzed 36 AI-generated suggestions and 29 human-generated suggestions for 7 alerts. Of the 20 suggestions that scored highest in the survey, 9 were generated by ChatGPT. The suggestions generated by AI were found to offer unique perspectives and were evaluated as highly understandable and relevant, with moderate usefulness, low acceptance, bias, inversion, redundancy. Conclusion: AI-generated suggestions could be an important complementary part of optimizing CDS alerts, can identify potential improvements to alert logic and support their implementation, and may even be able to assist experts in formulating their own suggestions for CDS improvement. ChatGPT shows great potential for using large language models and reinforcement learning from human feedback to improve CDS alert logic and potentially other medical areas involving complex, clinical logic, a key step in the development of an advanced learning health system.

Improving Adherence to AAP Acute Otitis Media Guidelines in an Academic Pediatrics Practice through a Quality Improvement Project.

Introduction: Acute otitis media (AOM) is the most common reason for antibiotic use in children. The American Academy of Pediatrics (AAP) published its latest AOM guidelines in 2013. A safety-net antibiotic prescription (SNAP) is recommended for some patients based on age, severity, and duration of symptoms. At baseline, 78% of patients diagnosed with AOM in our general pediatrics practice met AAP guidelines, and 20% of eligible patients received a SNAP according to guidelines. We aimed to increase adherence to AAP AOM guidelines in an academic general pediatrics clinic from 78% to 90% by January 2020. Methods: A quality improvement team determined key drivers and developed interventions. Patients included were 6 months to 12 years old with AOM. Encounters were reviewed for adherence to AAP AOM guidelines. During the project, interventions included an ear pain note template, which generated guideline-based recommendations, note template education in clinic orientation sessions, a didactic session on AOM management, and reminders on workstations. Data were analyzed using P-charts. Results: Percent of AOM encounters (n = 1266) adhering to AAP AOM guidelines increased from 78% to 92%. We also reviewed two process measures. First, the use of the ear pain note template increased from 0% to 44%. Second, the percent of AOM encounters where an eligible patient received a SNAP increased from 21% to 78% (encounters n = 421). Conclusion: We demonstrate increased adherence to AAP AOM guidelines, including improved use of SNAPs after introducing a note template with clinical decision support and provider educational sessions.

It Pays to be Accurate: Improving Critical Care Documentation in a Pediatric Emergency Department.

BACKGROUND: Clinician documentation is highly variable, and awareness of documentation requirements remains low despite post-training experience. At our hospital, critical care (CC) documentation was inconsistent. Our aim was to increase appropriate CC attestations from 51% to 90% for status asthmaticus, anaphylaxis, and diabetic ketoacidosis in the pediatric emergency department by December 2021. METHODS: A physician team developed a key driver diagram. Retrospective baseline data using International Classification of Diseases, Ninth and Tenth Revision codes were obtained from January 2018 to September 2020, after which data were followed prospectively in consecutive groups of 20 encounters. Statistical process control charts were used to analyze data. Nelson rules were used to detect special cause variation. Primary outcome was the inclusion of appropriate CC attestations. Interventions included education, CC attestation templates, and provider feedback. We also tracked charges for the 3 diagnoses studied. Process measures included template use. Balancing measure was refusal of payment by insurers. RESULTS: P-charts were used to analyze primary outcome and process measures. X-bar charts were used to analyze charges. Baseline data represented 706 encounters with 51% including CC documentation. Following clinician education and release of the CC template, special cause variation was detected, and centerline shifted to 88.1% (Fig 2). Average charges per encounter increased from $4527 to $5385. There was no reported refusal of payment. CONCLUSIONS: We successfully achieved improvements in CC documentation in the 3 diagnoses of interest through education and process changes in documentation, leading over $1 million in new charges over the past 15 months.

Influences of Chronic Physical and Mental Health Conditions on Child and Adolescent Positive Health.

OBJECTIVE: Pediatric positive health refers to children's assessments of their well-being. The purpose of this study was to contrast positive health for children aged 8 to 17 years with and without chronic physical and mental health conditions. METHODS: Data were drawn from the National Institutes of Health Environmental influences on Child Health Outcomes (ECHO) research program. Participants included 1764 children ages 8 to 17 years from 13 ECHO cohorts. We measured positive health using the Patient-Reported Outcomes Measurement Information System (PROMIS) Pediatric Global Health and Life Satisfaction patient-reported outcome (PRO) measures. We used multiple regression to examine cross-sectional associations between the PROs and parent-reported health conditions and sociodemographic variables. We defined a meaningful difference in average scores as a PROMIS T-score difference of >3. RESULTS: The sample included 45% 13 to 17-year-olds, 50% females, 8% Latinx, and 23% Black/African-American. Fifty-four percent had a chronic health condition. Of the 16 chronic conditions included in the study, only chronic pain (ß = -3.5; 95% CI: -5.2 to -1.9) and depression (ß = -6.6; 95% CI: -8.5 to -4.6) were associated with scoring >3 points lower on global health. Only depression was associated with >3 points lower on life satisfaction (ß = -6.2; 95% CI: -8.1 to -4.3). Among those with depression, 95% also had another chronic condition. CONCLUSIONS: Many children with chronic conditions have similar levels of positive health as counterparts without chronic conditions. The study results suggest that negative associations between chronic conditions and positive health may be primarily attributable to presence or co-occurrence of depression.

Clinician collaboration to improve clinical decision support: the Clickbusters initiative.

OBJECTIVE: We describe the Clickbusters initiative implemented at Vanderbilt University Medical Center (VUMC), which was designed to improve safety and quality and reduce burnout through the optimization of clinical decision support (CDS) alerts. MATERIALS AND METHODS: We developed a 10-step Clickbusting process and implemented a program that included a curriculum, CDS alert inventory, oversight process, and gamification. We carried out two 3-month rounds of the Clickbusters program at VUMC. We completed descriptive analyses of the changes made to alerts during the process, and of alert firing rates before and after the program. RESULTS: Prior to Clickbusters, VUMC had 419 CDS alerts in production, with 488 425 firings (42 982 interruptive) each week. After 2 rounds, the Clickbusters program resulted in detailed, comprehensive reviews of 84 CDS alerts and reduced the number of weekly alert firings by more than 70 000 (15.43%). In addition to the direct improvements in CDS, the initiative also increased user engagement and involvement in CDS. CONCLUSIONS: At VUMC, the Clickbusters program was successful in optimizing CDS alerts by reducing alert firings and resulting clicks. The program also involved more users in the process of evaluating and improving CDS and helped build a culture of continuous evaluation and improvement of clinical content in the electronic health record.

Using Quality Improvement Methodology to Implement Survivorship Care Plans.

PURPOSE: Accreditation requirements for cancer centers by the American College of Surgeons' Commission on Cancer have included provision of survivorship care plans (SCPs) to patients treated with curative intent soon after completion of therapy. These were traditionally provided in a dedicated survivorship clinic for our pediatric oncology patients later in the survivorship time period. Our goal was to increase timely provision of SCPs to eligible patients in our acute care pediatric oncology clinic and to have this serve as a bridge to longer-term survivorship care. METHODS: Our pediatric oncology clinic used quality improvement methodology to implement a process for creation of SCPs. We defined eligible patients on the basis of curative intent. Cancer registry data were queried to find eligible patients, and chart reviews were done weekly. A P chart and run chart were used to monitor our process for creation of plans and overall completion rate, respectively. RESULTS: During the intervention period, we increased the percentage of eligible patients with an SCP from 28% on June 30, 2017, to 53% by December 31, 2017. Since that time, we have continued to increase the percentage of patients with SCPs, reaching 69% by June 30, 2019. CONCLUSION: By using quality improvement methodology, our pediatric oncology clinic was able to change its clinical practice and implement a sustainable process for provision of SCPs and survivorship planning earlier in the post-treatment course, and meet the Commission on Cancer accreditation standard.

The clinical impact of the radiology report in wheezing and nonwheezing febrile children: a survey of clinicians.

BACKGROUND: The chest radiograph is commonly used in the diagnosis and management of patients presenting with respiratory illness. The language used to describe the findings is important to ensure appropriate communication with the referring clinician and thereby optimize patient management. OBJECTIVE: In this study we attempted to determine how clinicians interpret specific terms commonly used in a chest radiograph report, and to assess how these terms impact the management of children with respiratory symptoms. MATERIALS AND METHODS: An online survey was distributed to 562 pediatric practitioners asking their interpretation of the terms "peripheral airway disease (PAD)," "focal airspace consolidation," and "focal infiltrate" in a febrile child with or without wheezing. RESULTS: There were 112 respondents. Most practitioners defined the term "PAD" as viral pneumonia (61.5%) or asthma (56.9%), "consolidation" as atelectasis (83%) followed by pneumonia (69.6%), and "infiltrate" as pneumonia (100%), followed by atelectasis (22.3%). Practitioners were more likely to treat a nonwheezing child with antibiotics if the report stated "focal airspace consolidation" (80%) or "focal infiltrate" (100%; P=0.001). CONCLUSION: Some radiologic descriptors may lead to diverse and sometimes unintended diagnostic conclusions. Our findings support continued effort to structure and standardize the radiology report and our descriptive terminology.

Embedding Autism Spectrum Disorder Diagnosis Within the Medical Home: Decreasing Wait Times Through Streamlined Assessment.

Long waits for diagnostic assessment prevent early identification of children suspected of having autism spectrum disorder. We evaluated the benefit of embedded diagnostic consultation within primary care clinics. Using a streamlined diagnostic model, 119 children with concerns for autism spectrum disorder were seen over 14 months. Diagnostic clarity was determined through streamlined assessment for 59% of the children, while others required follow-up. Latency from first concern to diagnosis was 55 days and median age at diagnosis was 32 months: considerably lower than national averages or comparable tertiary clinics. Findings support that embedded processes for effective triage and diagnosis within the medical home is a viable mechanism for efficient access to diagnostic services and assists in bypassing a common barrier to specialized services.

Gaps in pediatricians' advice to parents regarding early childhood aggression.

Persistent early childhood aggression is a strong predictor of violence later in life. To determine how well general pediatricians counsel parents regarding aggression management strategies, responses to open-ended questions and endorsements of specific aggression management strategies, among 27 pediatricians were evaluated. Sixteen (59%) screened regularly for aggression and 23 (85%) counseled (rather than referred) if there were parental concerns. Pediatricians were most likely to spontaneously recommend time-outs (85%) and verbal reprimands (78%) and much less likely to recommend other strategies such as redirecting (26%, p < 0.01) and promoting empathy (22%, p < 0.001). Pediatricians did endorse other aggression management strategies, however, when specifically asked about them. Pediatricians appear to take a limited approach to counseling parents of children with hurtful behavior. To increase health care providers' role in violence prevention, more systematic efforts are needed to increase rates of screening for early childhood aggression and to broaden the scope of how pediatricians counsel parents.

The feasibility of text reminders to improve medication adherence in adolescents with asthma.

OBJECTIVE: Personal health applications have the potential to help patients with chronic disease by improving medication adherence, self-efficacy, and quality of life. The goal of this study was to assess the impact of MyMediHealth (MMH) - a website and a short messaging service (SMS)-based reminder system - on medication adherence and perceived self-efficacy in adolescents with asthma. METHODS: We conducted a block-randomized controlled study in academic pediatric outpatient settings. There were 98 adolescents enrolled. Subjects who were randomized to use MMH were asked to create a medication schedule and receive SMS reminders at designated medication administration times for 3 weeks. Control subjects received action lists as a part of their usual care. Primary outcome measures included MMH usage patterns and self-reports of system usability, medication adherence, asthma control, self-efficacy, and quality of life. RESULTS: Eighty-nine subjects completed the study, of whom 46 were randomized to the intervention arm. Compared to controls, we found improvements in self-reported medication adherence (P = .011), quality of life (P = .037), and self-efficacy (P = .016). Subjects reported high satisfaction with MMH; however, the level of system usage varied widely, with lower use among African American patients. CONCLUSIONS: MMH was associated with improved medication adherence, perceived quality of life, and self-efficacy.Trial Registration This project was registered under http://clinicaltrials.gov/ identifier NCT01730235.

Improving delivery of EPSDT well-child care at acute visits in an academic pediatric practice.

BACKGROUND AND OBJECTIVE: Many patients with Medicaid do not receive timely, comprehensive well-child care through the Early and Periodic Screening, Diagnosis, and Treatment (EPSDT) program. Missed opportunities for EPSDT well-child check-ups (WCCs) at acute visits contribute to this problem. The authors sought to reduce missed opportunities for WCCs at acute visits for patients overdue for those services. METHODS: A quality improvement team developed key drivers and used a people-process-technology framework to devise 3 interventions: (1) an electronic indicator based on novel definitions of EPSDT status (up-to-date, due, overdue, no EPSDT), (2) a standardized scheduling process for acute visits based on EPSDT status, and (3) a dedicated nurse practitioner to provide WCCs at acute visits. Data were collected for 1 year after full implementation. RESULTS: At baseline, 10.3 acute visits per month were converted to WCCs. After intervention, 86.7 acute visits per month were converted. Of 13801 acute visits during the project, 31.2% were not up-to-date. Of those overdue for WCCs, 51.4% (n = 552) were converted to a WCC in addition to the acute visit. Including all patients who were not up-to-date, a total of 1047 acute visits (7.6% of all acute visits) were converted to comprehensive WCCs. Deferring needed WCCs at acute visits resulted in few patients who scheduled or completed future WCC visits. CONCLUSIONS: Implementation of interventions focused on people-process-technology significantly increased WCCs at acute visits within a feasible and practical model that may be replicated at other academic general pediatrics practices.