People with serious mental illness (SMI) (schizophrenia, schizoaffective disorder, bipolar disorder) die 25 years eariier than their peers, and cardiovascular (CV) disease is the leading cause of death. Primary care providers (PCPs) often are not aware of the significantly increased CV risk in patients with SMI and, even when CV risk factors are identified, appropriate clinical actions often are not provided. Electronic medical record (EMR)-based clinical decision support (CDS) delivered at a clinical encounter may be a powerful tool to help primary care providers (PCPs) identify and control CV risk factors in patients with SMI. This proposal will adapt a point-of-care EMR-based CDS system (CV Wizard) to help PCPs identify, provide appropriate care for, and control CV risk factors for patients with SMI. CV Wizard is designed to educate PCPs about the increased risk of CV disease and mortality in people with SMI, identify elevated CV risk factors in patients with SMI, prioritize these CV risks based on how much improvement in CV risk a patient would experience if the CV risk factor was adequately addressed, recommend specific medications and other interventions to decrease each elevated CV risk factor, and provide this information in an easy-tounderstand format for both patients with SMI and their PCPs. For those patients who are on the SMI medications most associated with weight gain, they will be able to work with a psychiatric care manager who, under the supervision of the patient's treating psychiatrist and with the consent of the patient, will switch the. SMI medication to one less associated with weight gain. The effectiveness of this intervention will be assessed in a clinic-randomized trial with 52 primary care clinics, 150 PCPs, and about 2,250 adults with SMI. We hypothesize that, relative to patients with SMI receiving care in control clinics, those in the CV Wizard clinics will have (a) reduced total modifiable CV risk;(b) better control of six individual modifiable CV risk factors, including blood pressure, lipids, tobacco use, aspirin use, ovenA/eight/obesity, and, for those with diabetes, glucose control, and (c) lower rates of prescriptions of SMI medications that are most associated with weight gain. In secondary analyses, we will also explore the impact of CV Wizard and care management on CV risk factor identification, treatment initiation and intensification;medication adherence; outpatient and inpatient utilization;risky prescribing events;and CV events. This study targets an important area of research that is a priority for the National Institute of Mental Health, - our health system partners, and our external stakeholder advisory board;leverages previous infrastructure investments in the Mental Health Research Network;and capitalizes on the expertise of our researchers. Developing an effective EMR-driven point-of-care CDS strategy that identifies and prioritizes available treatment options to better address uncontrolled CV risk factors in adults with SMI is a critical next step to improving the health and reducing the CV risk of this medically underserved population.
People with serious mental illness (SM|;schizophrenia, schizoaffective disorder, or bipolar disorder) die an average of 25 years eariier than their peers, and cardiovascular (CV) disease is the leading cause of death. Primary care providers are not adequately aware of the significantly increased CV risk in patients with SMI, and, even when CV risk factors are identified, often do not take appropriate clinical actions. This project will test the ability of an electronic medical record-based clinical decision support system to help primary care providers identify, provide more appropriate care for, and control CV risk factors for patients with SMI.
|Simon, Gregory E; Coleman, Karen J; Rossom, Rebecca C et al. (2016) Risk of suicide attempt and suicide death following completion of the Patient Health Questionnaire depression module in community practice. J Clin Psychiatry 77:221-7|
|Owen-Smith, Ashli; Stewart, Christine; Green, Carla et al. (2016) Adherence to common cardiovascular medications in patients with schizophrenia vs. patients without psychiatric illness. Gen Hosp Psychiatry 38:9-14|
|Scherrer, Jeffrey F; Salas, Joanne; Copeland, Laurel A et al. (2016) Prescription Opioid Duration, Dose, and Increased Risk of Depression in 3 Large Patient Populations. Ann Fam Med 14:54-62|
|Cummings, Janet R; Lynch, Frances L; Rust, Kristal C et al. (2016) Health Services Utilization Among Children With and Without Autism Spectrum Disorders. J Autism Dev Disord 46:910-20|
|Coleman, Karen J; Stewart, Christine; Waitzfelder, Beth E et al. (2016) Racial-Ethnic Differences in Psychiatric Diagnoses and Treatment Across 11 Health Care Systems in the Mental Health Research Network. Psychiatr Serv 67:749-57|
|Simon, Gregory E; Specht, Cynthia; Doederlein, Allen (2016) Coping With Suicidal Thoughts: A Survey of Personal Experience. Psychiatr Serv 67:1026-9|
|Rossom, Rebecca C; Simon, Gregory E; Beck, Arne et al. (2016) Facilitating Action for Suicide Prevention by Learning Health Care Systems. Psychiatr Serv 67:830-2|
|Hacker, Karen A; Penfold, Robert B; Arsenault, Lisa N et al. (2015) Effect of Pediatric Behavioral Health Screening and Colocated Services on Ambulatory and Inpatient Utilization. Psychiatr Serv 66:1141-8|
|Ahmedani, Brian K; Stewart, Christine; Simon, Gregory E et al. (2015) Racial/Ethnic differences in health care visits made before suicide attempt across the United States. Med Care 53:430-5|
|Coleman, Karen J; Lutsky, Marta A; Yau, Vincent et al. (2015) Validation of Autism Spectrum Disorder Diagnoses in Large Healthcare Systems with Electronic Medical Records. J Autism Dev Disord 45:1989-96|
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