Browsing by Author "O’Kelly Phillips, Erin"

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    An informatics approach to medication adherence assessment and improvement using clinical, billing, and patient-entered data
    (Oxford University Press, 2014-05) Dixon, Brian E.; Jabour, Abdulrahman M.; O’Kelly Phillips, Erin; Marrero, David G.; BioHealth Informatics, School of Informatics and Computing
    The aim of this study was to describe an integrated informatics approach to aggregating and displaying clinically relevant data that can identify problems with medication adherence and facilitate patient-provider communication about strategies to improve medication use. We developed a clinical dashboard within an electronic health record (EHR) system that uses data from three sources: the medical record, pharmacy claims, and a personal health record. The data are integrated to inform clinician-patient discussions about medication adherence. Whereas prior research on assessing patterns of medication adherence focused on a single approach using the EHR, pharmacy data, or patient-entered data, we present an approach that integrates multiple electronic data sources increasingly found in practice. Medication adherence is a complex challenge that requires patient and provider team input, necessitating an integrated approach using advanced EHR, clinical decision support, and patient-controlled technologies. Future research should focus on integrated strategies to provide patients and providers with the right combination of informatics tools to help them adequately address the challenge of adherence to complex medication therapies.
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    Nursing Home Transfers for Behavioral Concerns: Findings from the OPTIMISTIC Demonstration Project
    (Wiley, 2021) Hathaway, Elizabeth E.; Carnahan, Jennifer L.; Unroe, Kathleen T.; Stump, Timothy E.; O’Kelly Phillips, Erin; Hickman, Susan E.; Fowler, Nicole R.; Sachs, Greg A.; Bateman, Daniel R.; Psychiatry, School of Medicine
    Objectives: To characterize pretransfer on-site nursing home (NH) management, transfer disposition, and hospital discharge diagnoses of long-stay residents transferred for behavioral concerns. Design: This was a secondary data analysis of the Optimizing Patient Transfers, Impacting Medical Quality, Improving Symptoms: Transforming Institutional Care project, in which clinical staff employed in the NH setting conducted medical, transitional, and palliative care quality improvement initiatives and gathered data related to resident transfers to the emergency department/hospital setting. R software and Microsoft Excel were used to characterize a subset of transfers prompted by behavioral concerns. Setting: NHs in central Indiana were utilized (N = 19). Participants: This study included long-stay NH residents with behavioral concerns prompting transfer for acute emergency department/hospital evaluation (N = 355 transfers). Measurements: The measures used in this study were symptoms prompting transfer, resident demographics and baseline characteristics (Minimum Data Set 3.0 variables including scores for the Cognitive Function Scale, ADL Functional Status, behavioral symptoms directed toward others, and preexisting psychiatric diagnoses), on-site management (e.g., medical evaluation in person or by phone, testing, and interventions), avoidability rating, transfer disposition (inpatient vs emergency department only), and hospital discharge diagnoses. Results: Over half of the transfers, 56%, had a medical evaluation before transfer, and diagnostic testing was conducted before 31% of transfers. After transfer, 80% were admitted. The most common hospital discharge diagnoses were dementia-related behaviors (27%) and altered mental status (27%), followed by a number of medical diagnoses. Conclusion: Most transfers for behavioral concerns merited hospital admission, and medical discharge diagnoses were common. There remain significant opportunities to improve pretransfer management of NH transfers for behavioral concerns.