This application addresses Dissemination and Implementation Research in Health (R21); Exploratory/Developmental Research (PAR-10-040) Health systems want to know which implementation strategies will have the greatest population impact so they can make wise use of limited funds. This application proposes to identify the key bottlenecks that are barriers to the implementation of recommended diabetes and dyslipidemia screening for adults with mental disorders in order to identify the best intervention strategies. Among the most economically-disadvantaged with serious mental illness, excess cardiovascular risk contributes to decades of reduced life expectancy. Physicians prescribing second-generation antipsychotics (SGA) will be studied to focus the analysis because SGAs are commonly taken by adu]lts with mental disorders, they increase metabolic risk themselves, specific monitoring is recommended and data show severe under-screening in clinical practice. The study tests four physician practice domains hypothesized to affect screening rates: knowledge;attitudes;physical-behavioral health care coordination;and practice recall and reminder systems.
We aim to identify implementation target groups (i.e.segments) based on the patient-mix, provider and practice factors most strongly associated with screening (Aim 2). This project focuses on the upstream issue of screening because it is where there is a big initial barrier to care, and screening is the gateway to treatment. However, downstream treatment barriers are also critical.
We aim to estimate how often no follow-up care occurs among patients with abnormal lab values and if barriers affecting screening also affect the likelihood of follow-up (Aim 3). To reach these aims, a unique and comprehensive dataset of Medicaid providers and patient claims data from the State of Missouri will be analyzed. These data will be combined with a survey of physician knowledge, attitudes and practice characteristics and with electronic medical record data from community mental health centers.
For Aims 1 and 2, the primary outcome is baseline and annual glucose and lipid testing using laboratory claims. Analysis for Aim 1 uses multivariate models designed to measure the extent that the factors describe variation in screening tests. Results of Aim 1 will inform the selection of segmentation factors used in the Aim 2 cluster analysis. Split-sample validation will be used to assess the stability of the segments.
For Aim 3, the analytic approach for Aim 1 will be used for the outcome of follow-up care (defined as a repeat lab test, primary care office visit, or initiation o a cholesterol-lowering or oral diabetes drug). An Advisory Board of public health stakeholders and academic experts in mental health and implementation sciences will advise the research team in interpreting the findings and selecting the implementation strategies to move forward into testing. Missouri Medicaid is a unique research environment to achieve this objective because a disproportionate number of adults with mental disorders receive care through Medicaid, the research team has an active collaboration with Missouri stakeholders, and significant interest exists within Missouri to apply the research learning to conduct a randomized intervention trial to test implementation strategies.

Public Health Relevance

Cardiovascular disease is the leading cause of reduced life expectancy for adults with mental disorders, and importantly, use of some antipsychotic medications contributes to increased cardiovascular risk. Diabetes and dyslipidemia screening in high-risk populations is clinically recommended and cost effective. The goal of this study is to identify the key physician and practice barriers affecting current low rates of glucose and lipid testing in mental health patients taking antipsychotics. We will determine how many patients receive appropriate follow-up care following screening and whether the screening barriers are also related to poor follow-up. Findings will be used to prioritize and target implementation strategies for improving screening and subsequent patient care.

Agency
National Institute of Health (NIH)
Institute
National Institute of Mental Health (NIMH)
Type
Exploratory/Developmental Grants (R21)
Project #
5R21MH097045-02
Application #
8588810
Study Section
Dissemination and Implementation Research in Health Study Section (DIRH)
Program Officer
Chambers, David A
Project Start
2012-12-04
Project End
2014-11-30
Budget Start
2013-12-01
Budget End
2014-11-30
Support Year
2
Fiscal Year
2014
Total Cost
$174,047
Indirect Cost
$61,547
Name
University of Colorado Denver
Department
Internal Medicine/Medicine
Type
Schools of Medicine
DUNS #
041096314
City
Aurora
State
CO
Country
United States
Zip Code
80045
Morrato, Elaine H; Campagna, Elizabeth J; Brewer, Sarah E et al. (2016) Metabolic Testing for Adults in a State Medicaid Program Receiving Antipsychotics: Remaining Barriers to Achieving Population Health Prevention Goals. JAMA Psychiatry 73:721-30
Morrato, Elaine H; Brewer, Sarah E; Campagna, Elizabeth J et al. (2016) Glucose Testing for Adults Receiving Medicaid and Antipsychotics: A Population-Based Prescriber Survey on Behaviors, Attitudes, and Barriers. Psychiatr Serv 67:798-802
Nicol, Ginger E; Campagna, Elizabeth J; Garfield, Lauren D et al. (2016) The Role of Clinical Setting and Management Approach in Metabolic Testing Among Youths and Adults Treated With Antipsychotics. Psychiatr Serv 67:128-32