Browsing by Author "Overley, Ashley"

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    Addressing Mental Health Needs of Health Care Workers through Peer Support Groups During the COVID-19 Crisis
    (Indiana University, 2020-12) Thornsberry, Tanner; Nault Connors, Jill; Welch, Julie; Hayden, Julie; Hartwell, Jennifer; Ober, Michael; Sotto-Santiago, Sylk; Draucker, Claire; Wasmuth, Sally; Boustani, Malaz; Overley, Ashley; Monahan, Patrick; Kroenke, Kurt
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    Developing the Agile Implementation Playbook for Integrating Evidence-Based Health Care Services into Clinical Practice
    (Wolters Kluwer, 2018-10) Boustani, Malaz A.; van der Marck, Marjolein A.; Adams, Nadia; Azar, Jose M.; Holden, Richard J.; Vollmar, Horst C.; Wang, Sophia; Williams, Christopher; Alder, Catherine; Suarez, Shelley; Khan, Babar; Zarzaur, Ben; Fowler, Nicole R.; Overley, Ashley; Solid, Craig A.; Gatmaitan, Alfonso; Medicine, School of Medicine
    Problem: Despite the more than $32 billion the National Institutes of Health has invested annually, evidence-based health care services are not reliably implemented, sustained, or distributed in health care delivery organizations, resulting in suboptimal care and patient harm. New organizational approaches and frameworks that reflect the complex nature of health care systems are needed to achieve this goal. Approach: To guide the implementation of evidence-based health care services at their institution, the authors used a number of behavioral theories and frameworks to develop the Agile Implementation (AI) Playbook, which was finalized in 2015. The AI Playbook leverages these theories in an integrated approach to selecting an evidence-based health care service to meet a specific opportunity, rapidly implementing the service, evaluating its fidelity and impact, and sustaining and scaling up the service across health care delivery organizations. The AI Playbook includes an interconnected eight-step cycle: (1) identify opportunities; (2) identify evidence-based health care services; (3) develop evaluation and termination plans; (4) assemble a team to develop a minimally viable service; (5) perform implementation sprints; (6) monitor implementation performance; (7) monitor whole system performance; and (8) develop a minimally standardized operating procedure. Outcomes: The AI Playbook has helped to improve care and clinical outcomes for intensive care unit survivors and is being used to train clinicians and scientists in AI to be quality improvement advisors. Next Steps: The authors plan to continue disseminating the details of the AI Playbook and illustrating how health care delivery organizations can successfully leverage it.
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    The impact of antipsychotic adherence on acute care utilization
    (BMC, 2023-01-24) Perkins, Anthony J.; Khandker, Rezaul; Overley, Ashley; Solid, Craig A.; Chekani, Farid; Roberts, Anna; Dexter, Paul; Boustani, Malaz A.; Hulvershorn, Leslie; Medicine, School of Medicine
    Background: Non-adherence to psychotropic medications is common in schizophrenia and bipolar disorders (BDs) leading to adverse outcomes. We examined patterns of antipsychotic use in schizophrenia and BD and their impact on subsequent acute care utilization. Methods: We used electronic health record (EHR) data of 577 individuals with schizophrenia, 795 with BD, and 618 using antipsychotics without a diagnosis of either illness at two large health systems. We structured three antipsychotics exposure variables: the proportion of days covered (PDC) to measure adherence; medication switch as a new antipsychotic prescription that was different than the initial antipsychotic; and medication stoppage as the lack of an antipsychotic order or fill data in the EHR after the date when the previous supply would have been depleted. Outcome measures included the frequency of inpatient and emergency department (ED) visits up to 12 months after treatment initiation. Results: Approximately half of the study population were adherent to their antipsychotic medication (a PDC ≥ 0.80): 53.6% of those with schizophrenia, 52.4% of those with BD, and 50.3% of those without either diagnosis. Among schizophrenia patients, 22.5% switched medications and 15.1% stopped therapy. Switching and stopping occurred in 15.8% and 15.1% of BD patients and 7.4% and 20.1% of those without either diagnosis, respectively. Across the three cohorts, non-adherence, switching, and stopping therapy were all associated with increased acute care utilization, even after adjusting for baseline demographics, health insurance, past acute care utilization, and comorbidity. Conclusion: Non-continuous antipsychotic use is common and associated with high acute care utilization.