African Americans and Latinos have less mental health care access and face substantial stigmatization in seeking and receiving treatment for mental health disorders (MHDs), compared to Whites. Untreated MHDs are associated with high mortality rates, increased risks of developing major chronic diseases, including heart disease and diabetes, and accelerating disease progression. Evidence demonstrates the cost effectiveness of improving health care for patients with coexisting MHDs and other diseases through the integration of individual and organizational factors, yet there remains a gap in our knowledge about how to best accomplish the integration of Local Health Departments (LHDs) with the communities they serve. The objective of this study is to identify effective LHD activitie that reduce racial and ethnic disparities in health care for individuals with MHDs, including those with MHDs and coexisting chronic diseases. Our central hypothesis is that LHDs' service provision and health promotion can reduce disparities. Our hypothesis is informed by an ecological model demonstrating that LHDs can reduce health care disparities for individuals with MHDs by providing critical health care resources to people with limited health care access and promoting health education and patient engagement that reflect community health needs. Since LHDs assume more responsibilities in underserved areas and provide a major source of health care for vulnerable populations, racial and ethnic minority patients with MHDs may gain more benefit from LHD activities. Specifically, we will assess the effect of LHD activities on health care for individuals with MHDs (Aim 1), and the effect of LHD activities on racial and ethnic disparities (African American vs. White; Latino vs. White) in mental health care (Aim 2). Given that MHDs are common comorbidities of major chronic diseases, we will assess the effect of LHD activities on racial and ethnic disparities in general health care for individuals with coexisting MHDs and other chronic diseases, such as diabetes and heart disease (Aim 3). We will assemble a unique multi-level (individual-, LHDs-, county-, and state-) data set for the years 2004-2014, and employ multi-level/hierarchical estimation, difference-in-differences analysis, and decomposition technique to quantify the contribution of LHDs' activities to the reduction of racial and ethnic disparities in health care for individuals with MHDs. Results of this exploratory study will generate substantial amounts of new evidence and insights about how to utilize LHDs' resources to integrate the care for individuals with MHDs, and to what extent the resources of LHDs can be used, or should be expanded, to improve mental health. Results of this study will provide preliminary data needed to build a more comprehensive and robust investigation to estimate the impact of LHDs on racial and ethnic disparities in health outcomes, and develop a scientifically sound and culturally tailored LHD-integrated health care model that will improve the efficiency of the health care delivery system and potentially accelerate sustainable efforts to reduce and ultimately eliminate health disparities for individuals with MHDs.

Public Health Relevance

This study will provide critical evidence on how to utilize Local Health Department (LHD) resources to integrate and coordinate care for individuals with Mental Health Disorders (MHDs), and help us understand to what extent the resources of LHDs can be used, or should be expanded, to improve mental health and reduce disparities. Results of our exploratory study will provide preliminary data needed to build a more comprehensive and robust investigation to estimate the dynamic impact of LHDs on racial and ethnic disparities in health outcomes, and develop a scientifically sound and culturally tailored LHD-integrated health care model that will improve the efficiency of the health care delivery system and potentially accelerate sustainable efforts to reduce and ultimately eliminate health disparities fo individuals with MHDs. Thus, the proposed research is relevant to the part of NIMH's mission to understand and reduce health disparities in mental health conditions within the U.S. population.

Agency
National Institute of Health (NIH)
Institute
National Institute of Mental Health (NIMH)
Type
Exploratory/Developmental Grants (R21)
Project #
5R21MH106813-02
Application #
9199107
Study Section
Mental Health Services Research Committee (SERV)
Program Officer
Rupp, Agnes
Project Start
2016-01-01
Project End
2018-12-31
Budget Start
2017-01-01
Budget End
2018-12-31
Support Year
2
Fiscal Year
2017
Total Cost
Indirect Cost
Name
University of Maryland College Park
Department
Administration
Type
Schools of Public Health
DUNS #
790934285
City
College Park
State
MD
Country
United States
Zip Code
20742
Benjenk, Ivy; Chen, Jie (2018) Effective mental health interventions to reduce hospital readmission rates: a systematic review. J Hosp Manag Health Policy 2:
Chen, Jie; Novak, Priscilla; Barath, Deanna et al. (2018) Local Health Departments' Promotion of Mental Health Care and Reductions in 30-Day All-Cause Readmission Rates in Maryland. Med Care 56:153-161
Chen, Jie; Novak, Priscilla; Goldman, Howard (2018) Public Health System-Delivered Mental Health Preventive Care Links to Significant Reduction of Health Care Costs. Popul Health Manag 21:462-468
Chen, Jie; Bloodworth, Robin; Novak, Priscilla et al. (2018) Reducing Preventable Hospitalization and Disparity: Association With Local Health Department Mental Health Promotion Activities. Am J Prev Med 54:103-112
Chen, Jie; Vargas-Bustamante, Arturo; Novak, Priscilla (2017) Reducing Young Adults' Health Care Spending through the ACA Expansion of Dependent Coverage. Health Serv Res 52:1835-1857
Novak, Priscilla; Williams-Parry, Kester F; Chen, Jie (2017) Racial and Ethnic Disparities Among the Remaining Uninsured Young Adults with Behavioral Health Disorders After the ACA Expansion of Dependent Coverage. J Racial Ethn Health Disparities 4:607-614
Chen, Jie; Vargas-Bustamante, Arturo; Mortensen, Karoline et al. (2016) Racial and Ethnic Disparities in Health Care Access and Utilization Under the Affordable Care Act. Med Care 54:140-6
Ali, Mir M; Chen, Jie; Mutter, Ryan et al. (2016) The ACA's Dependent Coverage Expansion and Out-of-Pocket Spending by Young Adults With Behavioral Health Conditions. Psychiatr Serv 67:977-82