RESUMO
Background: The problem list (PL) is a repository of diagnoses for patients' medical conditions and health-related issues. Unfortunately, over time, our PLs have become overloaded with duplications, conflicting entries, and no-longer-valid diagnoses. The lack of a standardized structure for review adds to the challenges of clinical use. Previously, our default electronic health record (EHR) organized the PL primarily via alphabetization, with other options available, for example, organization by clinical systems or priority settings. The system's PL was built with limited groupers, resulting in many diagnoses that were inconsistent with the expected clinical systems or not associated with any clinical systems at all. As a consequence of these limited EHR configuration options, our PL organization has poorly supported clinical use over time, particularly as the number of diagnoses on the PL has increased. Objective: We aimed to measure the accuracy of sorting PL diagnoses into PL system groupers based on Systematized Nomenclature of Medicine Clinical Terms (SNOMED CT) concept groupers implemented in our EHR. Methods: We transformed and developed 21 system- or condition-based groupers, using 1211 SNOMED CT hierarchal concepts refined with Boolean logic, to reorganize the PL in our EHR. To evaluate the clinical utility of our new groupers, we extracted all diagnoses on the PLs from a convenience sample of 50 patients with 3 or more encounters in the previous year. To provide a spectrum of clinical diagnoses, we included patients from all ages and divided them by sex in a deidentified format. Two physicians independently determined whether each diagnosis was correctly attributed to the expected clinical system grouper. Discrepancies were discussed, and if no consensus was reached, they were adjudicated by a third physician. Descriptive statistics and Cohen κ statistics for interrater reliability were calculated. Results: Our 50-patient sample had a total of 869 diagnoses (range 4-59; median 12, IQR 9-24). The reviewers initially agreed on 821 system attributions. Of the remaining 48 items, 16 required adjudication with the tie-breaking third physician. The calculated κ statistic was 0.7. The PL groupers appropriately associated diagnoses to the expected clinical system with a sensitivity of 97.6%, a specificity of 58.7%, a positive predictive value of 96.8%, and an F1-score of 0.972. Conclusions: We found that PL organization by clinical specialty or condition using SNOMED CT concept groupers accurately reflects clinical systems. Our system groupers were subsequently adopted by our vendor EHR in their foundation system for PL organization.
RESUMO
INTRODUCTION: Medication reconciliation, a technique that assists in aligning a care team's understanding of an individual's true medication regimen, is vital to optimize medication use and prevent medication errors. Historically, most medication reconciliation research has focused on institutional settings and transitional care, with comparatively little attention given to medication reconciliation in community settings. To optimize medication reconciliation for community-dwelling older adults, healthcare professionals and older adults must be engaged in co-designing processes that create sustainable approaches. METHODS: Academic researchers, older adults, and community- and health system-based healthcare professionals engaged in a participatory process to better understand medication reconciliation barriers and co-design solutions. The initiative consisted of two participatory research approaches: (1) Sparks Innovation Studios, which synthesized professional expertise and opinions, and (2) a Community Consultation Studio with older adults. Input from both groups informed a list of possible solutions and these were ranked based on evaluative criteria of feasibility, person-centeredness, equity, and sustainability. RESULTS: Sparks Innovation Studios identified a lack of ownership, fragmented healthcare systems, and time constraints as the leading barriers to medication reconciliation. The Community Consultation Studio revealed that older adults often feel dismissed in medical encounters and perceive poor communication with and among providers. The Community Consultation Studio and Sparks Innovation Studios resulted in four highly-ranked solutions to improve medication reconciliation: (1) support for older adults to improve health literacy and ownership; (2) ensuring medication indications are included on prescription labels; (3) trainings and incentives for front-line staff in clinic settings to become champions for medication reconciliation; and (4) electronic health record improvements that simplify active medication lists. CONCLUSION: Engaging community representatives with academic partners in the research process enhanced understanding of community priorities and provided a practical roadmap for innovations that have the potential to improve the well-being of community-dwelling older adults.