A computable phenotype for asthma case identification in adult and pediatric patients: External validation in the Chicago Area Patient-Outcomes Research Network (CAPriCORN).

Objective: Comprehensive, rapid, and accurate identification of patients with asthma for clinical care and engagement in research efforts is needed. The original development and validation of a computable phenotype for asthma case identification occurred at a single institution in Chicago and demonstrated excellent test characteristics. However, its application in a diverse payer mix, across different health systems and multiple electronic health record vendors, and in both children and adults was not examined. The objective of this study is to externally validate the computable phenotype across diverse Chicago institutions to accurately identify pediatric and adult patients with asthma. Methods: A cohort of 900 asthma and control patients was identified from the electronic health record between January 1, 2012 and November 30, 2014. Two physicians at each site independently reviewed the patient chart to annotate cases. Results: The inter-observer reliability between the physician reviewers had a κ-coefficient of 0.95 (95% CI 0.93-0.97). The accuracy, sensitivity, specificity, negative predictive value, and positive predictive value of the computable phenotype were all above 94% in the full cohort. Conclusions: The excellent positive and negative predictive values in this multi-center external validation study establish a useful tool to identify asthma cases in in the electronic health record for research and care. This computable phenotype could be used in large-scale comparative-effectiveness trials.

Information gaps in newborn care and their potential for harm.

BACKGROUND: Access to complete and correct patient information is vital for physicians to make appropriate patient care decisions and to avoid medical errors. However, the perinatal period represents a unique situation in which care of the fetus is initiated by an obstetrician and then assumed by either a pediatrician or a family practice physician after birth. This often abrupt handoff of care has the potential to result in an inadequate transfer of information and significant gaps in care. A study was conducted to determine the presence and extent of information gaps in newborn care. METHODS: Maternal demographics and history, and results of all prenatal laboratory tests, were obtained from maternal interviews and medical records. The collected data were compared with information in infant medical records. A positive maternal history not documented in the infant medical record was counted as an information gap. RESULTS: Of 72 enrolled mother-infant dyads, nearly all (71 [99%]) of mothers had at least one positive history in the areas reviewed, and 59 (82%) newborn charts had one or more information gaps. Thirty-eight (53%) newborn charts had one of two or fewer information gaps, and 17 (24%) had four or more information gaps. None of the infants with a maternal history of depression, positive family history of an infectious disease, potentially inheritable genetic disorder, or family history of phototherapy or exchange transfusion had these documented in their medical records. CONCLUSIONS: The results of this study suggest that significant information gaps are common in newborn care at birth and may have the potential for an adverse impact on the care and outcomes of the newborn. Obtaining a history directly from the parents rather than relying on maternal medical records may minimize or eliminate these information gaps and thus improve newborn care.