Usage of allergy codes in primary care electronic health records:a national evaluation in Scotland

Background: The UK's NHS intends to move from the current Read code system to the international, detailed Systematized Nomenclature of Medicine Clinical Terms (SNOMED-CT) to facilitate more clinically appropriate coding of conditions and associated risk factors and outcomes. Given concerns about coding behaviour of general practitioners, we sought to study the current coding patterns in allergies and identify lessons for the future migration to SNOMED-CT.Methods: Data from 2 014 551 primary care consultations in over 100 000 patients with one or more of 11 potentially allergic diseases (anaphylaxis, angioedema, asthma, conjunctivitis, drug allergies, eczema, food allergy, rhinitis, urticaria, venom allergy and other probable allergic disorders) from the Scottish Primary Care Clinical Informatics Unit Research (PCCIU-R) database were descriptively analysed and visualized to understand Read code usage patterns.Results: We identified 352 Read codes for these allergic diseases, but only 36 codes (10%) were used in 95% of consultations; 73 codes (21%) were never used. Half of all usage was for Quality and Outcomes Framework codes for asthma. Despite 149 detailed codes (42%) being available for allergic triggers, these were infrequently used.Conclusions: This analysis of Read codes use suggests that introduction of the more detailed SNOMED-CT, in isolation, will not improve the quality of allergy coding in Scottish primary care. The introduction of SNOMED-CT should be accompanied by initiatives aimed at improving coding quality, such as the definition of terms/codes, the availability of terminology browsers, a recommended list of codes and mechanisms to incentivize detailed coding of the condition and the underlying allergic trigger

Hypersensitivity Adverse Event Reporting in Clinical Cancer Trials: Barriers and Potential Solutions to Studying Severe Events on a Population Level

ABSTRACT HYPERSENSITIVITY ADVERSE EVENT REPORTING IN CLINICAL CANCER TRIALS: BARRIERS AND POTENTIAL SOLUTIONS TO STUDYING ALLERGIC EVENTS ON A POPULATION LEVEL by Christina Eldredge The University of Wisconsin-Milwaukee, 2020 Under the Supervision of Professor Timothy Patrick Clinical cancer trial interventions are associated with hypersensitivity events (HEs) which are recorded in the national clinical trial registry, ClinicalTrials.gov and publicly available. This data could potentially be leveraged to study predictors for HEs to identify at risk patients who may benefit from desensitization therapies to prevent these potentially life-threatening reactions. However, variation in investigator reporting methods is a barrier to leveraging this data for aggregation and analysis. The National Cancer Institute has developed the CTCAE classification system to address this barrier. This study analyzes the comprehensiveness of CTCAE to describe severe HEs in clinical cancer trials in comparison to other systems or terminologies. An XML parser was used to extract readable text from adverse event tables. Queries of the parsed data elements were performed to identify immune disorder events associated with biological and chemotherapy interventions. A data subset of severe anaphylactic and anaphylactoid events was created and analyzed. 1,331 clinical trials with 13088 immune disorder events occurred from September 20, 1999 to March 2018. 2409 (18.4%) of these were recorded as “serious” events. In the severe subset, MedDRA terminology, CTCAE or CTC classification systems were used to describe HEs, however, a large number of studies did not specify the system. The CTCAE term “anaphylaxis” was miscoded as “other (not including serious)” in 76.2% of events. The CTCAE classification system severity grades levels were not used to describe any of the severe events and the majority of terms did not include the allergen and therefore, in dual or multi- drug therapies, the etiologic agent was not identifiable. Furthermore, collection methods were not specified in 76% of events. Therefore, CTCAE was not found to improve the ability to capture event etiology or severity in anaphylaxis and anaphylactoid events in cancer clinical trials. Potential solutions to improving CTCAE HE description include adapting terms with a low percentage of HE severity miscoding (e.g. anaphylactic reaction) and terms which include drugs, biological agents and/or drug classes to improve study of anaphylaxis etiology and incidence in multi-drug cancer therapy, therefore, making a significant impact on patient safety

Identifying Transfer of Care Gaps: Electronic Health Record Capture of Perioperative Handoff Communications

Transitions in patient care are held together by interdisciplinary handoff communications intended to coordinate the patient\u27s ongoing care requirements. Patients with complexity in care encumber the transfer of care process requiring a higher level of care coordination between the interdisciplinary team (Coleman, 2003; Naylor et al., 2004). While the literature is abundant on the characteristics and quality of handoff communications, it is limited on the requirements of what data is necessary for ongoing care following transfer communications (Galatzan & Carrington, 2018). This dissertation explores the verbal information transferred during Operating Room (OR) to Post Anesthesia Care Unit (PACU) nursing handoff communications and whether the data is captured in the electronic health record (EHR) to represent the information critical to ongoing patient care and care planning. the study builds on the Kennedy Integrated Theoretical Framework (KITF) (Kennedy, 2012) integrating cognition theory, patterns of knowledge theory, and clinical communication space theory to support the human-technology characteristics within perioperative handoffs. Evidence of wisdom was present in the KITF in addition to elements of non-verbal communication patterns emerging from shared common ground contributed to the framework\u27s expansion. to understand the contributions of the perioperative nursing interface terminology, the Perioperative Nursing Data Set (PNDS), makes to postsurgical care transitions, the study examines nursing diagnoses, interventions, interim outcomes and goals relationships to the handoff data communicated between OR and PACU Registered Nurses. Study findings revealed a complex fragmented process of verbal communications and electronic documentation for the handoff process. While the EHR is prominent in data procurement for the handoff process, the design of handoff artifacts (e.g., paper, electronic) significantly impact the value of information received. Incomplete handoff tools or missing EHR data adds to a cycle of information decay while contributing to increase cognitive load and potentiating opportunities for information and knowledge loss. the absence of nursing diagnoses in the automation of the PNDS challenges the integrity of the language within the documentation platform and raises considerations for hierarchical representation within interface terminologies. This study reinforces literature to reconsider user requirements in the design and functionality of healthcare information technology (HIT) to enable data and information flow and preserve knowledge development. the inclusion of mobile technology, cognitive support aids including clinical decision support tools, and other HIT will further enable the effectiveness of transfer communication, knowledge development, and the safety of ongoing patient care