The Effect of an Electronic Health Record–based Tool on Abnormal Pediatric Blood Pressure Recognition

Evaluation of whether provider recognition of abnormal BP (greater than 90th percentile) differed before versus after the introduction of an app that extracts age, sex, height and BP data from the EHR to calculate and track a patient’s BP percentile longitudinally. The app was based on the Substitutable Medical Applications & Reusable Technology (SMART) platform and is available In the SMARTApp Gallery. Examining ~79,000 records of outpatients (primary care, endocrinology, cardiology, nephrology clinics), of which ~3500 had elevated blood pressure, showed that abnormal BP was recognized in 4.9% of visits before the app was available and 7.1% of visits afterwards. The app was used in 13% of encounters where an elevated BP was present; significantly, when the app was used, recognition of elevated BP was much higher (OR 3.17, CI 2.29-4.41).

Twichell 2017 (Link) | PubMed 28493451 | Author Search

Automated Identification of Implausible Values in Growth Data from Pediatric Electronic Health Records

Reports the development of an automated method for identifying implausible values in pediatric EHR growth (weight and height) data, tested via data points collected in the primary care environment on over 280,000 patiets. The method compares each measurement’s z-score to a weighted moving average of prior measurements. The method had a sensitivity of 97% and a specificity of 90% for identifying implausible values compared to physician judgment, and identified almost all simulated errors.

Daymont 2017 (JAMIA) | PubMed 28453637 | Author Search

A Clinical Prediction Rule for Rebound Hyperbilirubinemia Following Inpatient Phototherapy

A report of a prediction rule for rebound hyperbilirubinemia (return of total serum bilirubin to phototherapy threshold within 72 hours of phototherapy termination) in newborns of at least 35 weeks’ gestation. Authors studied a group of ~7000 infants, 4.6% of whom had rebound hyperbilirubinemia. The formula is calculated as: 15 points if gestational age less than 38 weeks, minus 7 × (age in days at phototherapy initiation) minus 4 × (AAP phototherapy threshold − TSB at phototherapy termination) + 50. This score in turn can be applied to a curve (pictured) to predict rebound hyperbilirubinemia.

Chang 2016 (Pediatrics) | PubMed 12345678 | Author Search

Measuring Prevention More Broadly: An Empirical Assessment of CHIPRA Core Measures

Using claims data from the Alabama Children’s Health Insurance Program, calculated each of four quality measures under two alternative definitions: (1) the formal claims-based guidelines outlined in the CMS Technical Specifications, and (2) a broader definition of appropriate claims for identifying preventive service use. Concludes: Differences in CHIP design and structure, across states and over time, may limit the usefulness of select claims-based core measures for detecting disparities accurately (Medicare and Medicaid Research Review).

Menachemi 2013 (Link) | PubMed 24800161 | Author Search

Pediatric Complex Chronic Conditions Classification System Version 2: Updated for ICD-10 and Complex Medical Technology Dependence and Transplantation

An ICD-10 update of the pediatric complex chronic conditions (CCC) classification system from 2000. The system includes diagnostic and procedural codes that incorporate a new neonatal CCC category as well as domains of complexity arising from technology dependence or organ transplantation. Linked electronic supplementary material provides SAS and Stata code, plus tabular information on codes.

Feudtner 2014 (BMC Pediatrics) | PubMed 25102958 | Author Search

Impact of Electronic Health Record-Based Alerts on Influenza Vaccination for Children With Asthma

A prospective, cluster-randomized trial of the use of a flu-shot reminder alert in pediatric primary care, showing only modest effects. Vaccination opportunities in children with asthma increased from 14.4% to 18.6% at intervention sites and from 12.7% to 16.3% at control sites, a 0.6% greater improvement. The authors conclude that if one is using an immunization reminder system, “the addition of an influenza reminder system may be helpful, especially in the setting of urban resident-teaching practices.”

Fiks 2009 (Pediatrics) | PubMed 19564296 | Author Search

Reliability of Telemedicine in the Assessment of Seriously Ill Children

An evaluation of the telemedicine (vs. in-person) application of the Yale Observation Scale and the Respiratory Observation Checklist in febrile children age 2 to 36 months. ,as implemented via a telemedicine system. Strong agreement was found between bedside and telemedicine observers. Excellent agreement between bedside and telemedicine observers was found for the impression of respiratory distress.

Siew 2016 (Pediatrics) | PubMed 26908666 | Author Search

New Technologies as a Strategy to Decrease Medication Errors: How Do they Affect Adults and Children Differently?

A review of techniques used to reduce medication errors in pediatrics. Within the limitations of the heterogeneous system that makes up information technology for child health, the authors conclude that CPOE and accompanying decision support can help but also creates new types of error (World Journal of Pediatrics).

Ruano 2015 (Link) | PubMed 26684316 | Author Search