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Published Online: 2 January 2015

National Estimates of Behavioral Health Conditions and Their Treatment Among Adults Newly Insured Under the ACA

Abstract

Objective:

Approximately 25 million individuals are projected to gain insurance as a result of the Affordable Care Act (ACA). This study estimated the prevalence of behavioral health conditions and their treatment among individuals likely to gain coverage.

Methods:

Pooled 2008–2011 National Survey on Drug Use and Health data for adults (ages 18–64) were used. Estimates were created for all adults, current Medicaid beneficiaries, and uninsured adults with incomes that might make them eligible for the Medicaid expansion or tax credits for use in the health insurance marketplace.

Results:

Individuals who may gain insurance under the ACA had lower rates of serious mental illnesses (5.4%, Medicaid expansion; 4.7%, marketplace) compared with current Medicaid beneficiaries (9.6%). They had higher rates of substance use disorders (13.6%, Medicaid expansion; 14.3%, marketplace) compared with Medicaid recipients (11.9%).

Conclusions:

There is significant need for behavioral health treatment among individuals who may gain insurance under the ACA.
The Affordable Care Act (ACA) is expected to provide insurance coverage to 25 million individuals who were previously uninsured (1). The legislation allows states to expand Medicaid to individuals who were previously ineligible, such as single adults without documented disabilities. It also provides tax credits to individuals who purchase private insurance through the health insurance marketplace when they lack access to affordable employer-sponsored coverage. Currently, 26 states and the District of Columbia have decided to expand their Medicaid programs. If more states decide to participate, the number of people gaining coverage will increase. Individuals who gain coverage are expected to experience improved access to high-quality behavioral health services (24).
Policy makers need accurate data on the prevalence of mental and substance use disorders and on the potential demand for behavioral health services among those who may gain coverage as a result of the ACA. Garfield and colleagues (5) analyzed data from the Medical Expenditure Panel Survey. They found that among uninsured adults ages 18–64 years with incomes of less than 133% of the federal poverty level (FPL), 18.8%−29.5% had probable depression and 19.1%−29.9% had serious psychological distress. Among individuals with severe mental disorders, 21.5% of those who lacked insurance coverage for the full year used any mental health service, compared with 48.4% of those with Medicaid insurance. The authors estimated that reform will lead to a net increase of 1.15 million mental health care users.
Busch and colleagues (6) used data from the National Survey on Drug Use and Health (NSDUH) to describe use of treatment for substance use disorders among individuals who may be eligible for Medicaid as a result of the ACA. They found that 14.6% of uninsured individuals with incomes less than 138% of FPL had substance dependence or abuse, a slightly higher rate than among current Medicaid recipients (11.5%). Among future Medicaid-eligible individuals in need of treatment for a substance abuse disorder, only 12.8% received formal treatment, compared with 30.7% of current Medicaid enrollees.
Although results of these studies are extremely useful, they have limitations. They do not indicate, for example, the percentage of individuals who are likely to enroll under the Medicaid expansion who will use specific types of mental health services. Lack of this type of information has been problematic in other, more limited efforts to expand access to health care insurance.
To help states plan for the behavioral health services needs associated with implementation of the ACA, we collaborated with the Substance Abuse and Mental Health Services Administration (SAMHSA) to create the Behavioral Health Treatment Needs Assessment Toolkit for States (7,8). This document gives state policy makers, payers, and others information about the prevalence and use of behavioral health services; step-by-step instructions for generating projections of utilization under insurance expansions; and factors to consider when determining the appropriate mix of behavioral health benefits, services, and providers necessary to meet the needs of newly eligible populations.
In this report, we summarize and update the analyses published in the Behavioral Health Treatment Needs Assessment Toolkit for States, making the data available to a wider audience, and describe the analyses’ key implications.

Methods

We used pooled data from adults ages 18 through 64 years who responded to the 2008–2011 NSDUH. The NSDUH is an annual survey sponsored by SAMHSA (www.samhsa.gov/data/NSDUH.aspx). Interviewers collect data from a representative sample of the population by administering questionnaires about the previous year through face-to-face interviews at the respondents’ place of residence. To increase the estimates’ precision, we based estimates on data combined from multiple survey years. We adjusted the weights in the analysis to represent annual averages of the target population. Unidentified survey data are exempt from institutional review board approval.
We used the NSUDH data to calculate past-year prevalence rates for serious mental illness, any mental illness, and any substance use disorder. SAMHSA defines serious mental illness as having at least one mental disorder other than a developmental or substance use disorder in the past 12 months that resulted in serious impairment. Any mental illness is defined as a diagnosable mental, behavioral, or emotional disorder (excluding developmental and substance use disorders) of sufficient duration to meet DSM-IV diagnostic criteria during the year prior to the survey interview. Substance use disorder is defined as dependence on or abuse of alcohol or illicit drugs in the past year.
We examined past-year use of any mental health treatment, mental health inpatient facility, mental health outpatient facility, mental health prescription medication, substance abuse treatment, or substance abuse treatment facility.
We examined prevalence and utilization rates among all adults in the targeted age range nationwide and for three subsets: individuals who were currently enrolled in Medicaid; individuals who were uninsured and had incomes <139% of FPL, which captured the group likely eligible for Medicaid under the expansion; and individuals who were uninsured and had incomes between 133% and 399% of FPL, which captured the group eligible for insurance subsidies who were likely to purchase insurance in the health insurance marketplace. For the second subset, we used an income cutoff of <139% because the ACA extends Medicaid coverage to all individuals ages 19 through 64 years with incomes up to 133% of FPL and also includes a 5% income disregard, leading to an effective FPL of 138%. We used data from the 2011 American Community Survey to determine the size of the populations that fell within these categories (www.census.gov/popest/data/historical/2010s/vintage_2011/index.html).

Results

Table 1 reports the 12-month prevalence estimates for serious mental illness, any mental illness, and substance use disorder, as well as the percentage of the population receiving different types of behavioral health treatment. The data reveal that approximately 5% of uninsured adults who may gain insurance coverage through Medicaid (5.4%) or the marketplace (4.7%) had a serious mental illness. This rate is significantly lower than the rate among current Medicaid beneficiaries with serious mental illness (9.6%). Approximately 21% of those who may gain insurance had any mental illness, regardless of the severity; this rate was also lower than the Medicaid rate of 30.5%.
Table 1. Prevalence of behavioral health conditions and receipt of behavioral health treatment in past year among adults ages 18–64, 2008–2011a
PopulationPrevalenceMental health treatmentSubstance abuse treatmentSpecialty substance abuse facility treatment
Serious mental illnessAny mental illnessSubstance use disorderAnyInpatientOutpatientPrescription medication
%95% CI%95% CI%95% CI%95% CI%95% CI%95% CI%95% CI%95% CI%95% CI
National (196.3 million)4.44.2–4.619.218.9–19.510.310.1–10.514.414.1–14.6.8.8–.97.37.1–7.512.111.8–12.41.91.8–2.01.21.1–1.3
Medicaid (21.6 million)b9.68.9–10.430.529.4–31.611.911.2–12.724.022.9–25.13.32.9–3.813.612.8–14.520.719.7–21.74.43.9–4.93.42.9–3.8
Uninsured                  
 FI <139% of FPL (18.7 million)c5.44.9–6.021.320.3–22.413.612.8–14.48.98.2–9.7.9.7–1.14.54.0–5.17.46.7–8.13.43.0–3.82.31.9–2.6
 FI 133%–399% of FPL (19.3 million)d4.74.2–5.321.120.1–22.214.313.5–15.19.08.3–9.8.7.5–.94.13.6–4.57.56.9–8.22.82.5–3.31.81.5–2.2
a
Source: National Survey on Drug Use and Health, 2008–2011. Population estimates were from the American Community Survey, 2011.
b
Includes individuals who have dual eligibility for Medicare and Medicaid
c
FI, family income; FPL, federal poverty level. Includes individuals who would be eligible for the ACA Medicaid expansion beginning in 2014, assuming all states expand Medicaid
d
Individuals who would be eligible for subsidies and may enroll in the health insurance marketplace
Approximately 9% of individuals who may gain insurance used any mental health services. Most of these individuals used psychiatric medications (7.4%−7.5%), and less than 1% used inpatient mental health treatment. Uninsured adults who may gain insurance coverage under the ACA were slightly more likely than current Medicaid recipients to have a substance use disorder. Receipt of substance abuse treatment was very low across all populations, at 4.4% for individuals with current Medicaid insurance, 3.4% for uninsured individuals with incomes <139% of FPL, and 2.8% for uninsured individuals with incomes between 133% and 399% of FPL.

Discussion

Our analyses provided several contributions to the existing literature. First, we provided prevalence rates of serious mental illness by using a recently created NSDUH variable for that category. Prior NSDUH surveys and the Medical Expenditure Panel Survey report prevalence of serious psychological distress, which is based on responses to the Kessler 6 (9). The new variable is based on the Kessler 6 and a measure of impairment, thus providing a more accurate measure of serious mental illness, which has been validated by clinical diagnostic interviews (9). States are developing systems to track individuals in specialty or nonspecialty behavioral health service settings on the basis of severity of illness; therefore, the additional information provided in this analysis may be very useful in planning efforts (10). For example, California projected that one to two million individuals would enroll in the state’s Medicaid expansion. Applying the 5.4% figure, California can anticipate that 54,000 to 108,000 of these new enrollees will have serious mental illness and may need specialized services.
The information we present on the prevalence of substance use disorders is similar to information presented by Busch and colleagues (6), indicating that 14% of individuals who become eligible under the insurance expansion may have a substance use disorder. Strikingly, only 2.3% and 1.8% of individuals who may gain insurance under the Medicaid expansion and health insurance marketplace, respectively, may use substance abuse treatment in a specialty substance abuse facility. The rate of substance abuse facility treatment among current Medicaid recipients was also very low (3.4%). On the basis of these low rates, we conclude that if the Medicaid expansion programs provide substance abuse benefits and a service delivery system that are similar to or less robust than those provided by the current Medicaid system, states may continue to see very low rates of substance abuse specialty service use that are unlikely to fully address current needs.
Analyses of the effects of prior insurance expansions on substance abuse treatment were somewhat contradictory. A study of the Massachusetts insurance expansion found that among individuals who needed substance abuse treatment, enrollment in insurance and use of services were not as high as anticipated (11). However, other analyses of Massachusetts, Vermont, and Maine data found significant increases in use of substance abuse treatment following insurance expansions (12). The ACA is being implemented in concert with the Mental Health Parity and Substance Abuse Equity Act (MHPAEA). The MHPAEA may enhance the impact of expanded insurance by requiring that states offer robust substance abuse benefits on par with medical and surgical benefits across the full continuum of prevention, screening, outpatient, inpatient, and rehabilitative services (13).
Although the data presented here identified the current rate of behavioral health service use among those who may gain insurance, they did not illustrate how that use may increase once individuals gain insurance. Insurance coverage is expected to increase utilization because insurance reduces the price of treatment to the individual. For example, the Centers for Medicare & Medicaid Services prepared an impact analysis of the ACA on the basis of research conducted in Oregon. They estimated that health care use and expenditures would increase by 25% as individuals move from being uninsured to insured (14). One could apply these gross percentages to the data presented here. For example, our data indicate that about 7.5% of the 25 million individuals who are likely to gain insurance coverage as a result of the Medicaid expansion and health insurance marketplace will use psychiatric medication. Assuming a 25% increase in usage as a result of gaining insurance, the percentage using a psychiatric medication would increase to about 9.4%—from 1.9 million to 2.3 million individuals—an increase of .4 million individuals.
When using the estimates presented here, one should keep in mind that the NSDUH does not collect data from some groups of individuals who may gain coverage under the ACA, including individuals who are homeless but not living in a homeless shelter, active duty military personnel, and individuals housed in jails, prisons, or hospitals. The NSDUH also excludes comprehensive measures of behavioral health conditions and treatment among children.

Conclusions

The NSDUH offers important information on the likely need and demand for different categories of behavioral health services among individuals who may gain insurance under the ACA. The data presented here were reported on a national level. State-level estimates were also created as a part of this project and are available on SAMHSA’s Web site (8).

References

1.
Table 1. CBO’s May 2013 Estimate of the Effects of the Affordable Care Act on Health Insurance Coverage. Washington, DC, Congressional Budget Office, July 15, 2013. Available at www.cbo.gov/sites/default/files/cbofiles/attachments/43900-2013-05-ACA.pdf
2.
Beronio K, Glied S, Frank R: How the Affordable Care Act and Mental Health Parity and Addiction Equity Act greatly expand coverage of behavioral health care. Journal of Behavioral Health Services and Research 41:410–428, 2014
3.
Frank RG, Glied SA: Better but Not Well: Mental Health Policy in the United States Since 1950. Baltimore, Johns Hopkins University Press, 2006
4.
Mechanic D: Seizing opportunities under the Affordable Care Act for transforming the mental and behavioral health system. Health Affairs 31:376–382, 2012
5.
Garfield RL, Zuvekas SH, Lave JR, et al: The impact of national health care reform on adults with severe mental disorders. American Journal of Psychiatry 168:486–494, 2011
6.
Busch SH, Meara E, Huskamp HA, et al: Characteristics of adults with substance use disorders expected to be eligible for Medicaid under the ACA. Psychiatric Services 64:520–526, 2013
7.
Mark TL, Wier L, Hohlbauch A, et al: Behavioral Health Treatment Needs Assessment Toolkit for States. Pub no SMA13-4757. Rockville, Md, Substance Abuse and Mental Health Services Administration, 2013. Available at store.samhsa.gov/product/Behavioral-Health-Treatment-Needs-Assessment-Toolkit-for-States/SMA13-4757
8.
National and State Estimates of the Prevalence of Behavioral Health Conditions Among the Uninsured. Pub no PEP13-BHPREV-ACA. Rockville, Md, Substance Abuse and Mental Health Services Administration, 2013. Available at store.samhsa.gov/product/PEP13-BHPREV-ACA
9.
Estimates of mental illness from the National Survey on Drug Use and Health. NSDUH Report, Nov 19, 2013. Available at www.samhsa.gov/data/2k13/NSDUH148/sr148-mental-illness-estimates.htm
10.
Krelstein M: Three perspectives on the impact of expanded insurance on behavioral health in San Diego County. Presented at Academy Health Behavioral Health Services Research Interest Group Meeting, San Diego, Calif, June 7, 2014
11.
Capoccia VA, Grazier KL, Toal C, et al: Massachusetts’s experience suggests coverage alone is insufficient to increase addiction disorders treatment. Health Affairs 31:1000–1008, 2012
12.
The Effects of Health Care Reform on Access to, and Funding of, Substance Abuse Services in Maine, Massachusetts, and Vermont. Washington, DC, National Association of State Alcohol and Drug Abuse Directors, 2010. Available at www.nasadad.org/resource.php?base_id=2104
13.
Buck JA: The looming expansion and transformation of public substance abuse treatment under the Affordable Care Act. Health Affairs 30:1402–1410, 2011
14.
Finkelstein A, Taubman S, Wright B, et al: The Oregon Health Insurance Experiment: Evidence From the First Year. NBER Working Paper no 17190. Cambridge, Mass, National Bureau of Economic Research, 2011. Available at www.nber.org/papers/w17190.pdf

Information & Authors

Information

Published In

Go to Psychiatric Services
Go to Psychiatric Services

Cover: Breakfast in the Garden, by Frederick Carl Frieseke, circa 1911. Oil on canvas, 26 x 325/16 inches. Daniel J. Terra Collection, 1987.21. Terra Foundation for American Art, Chicago/Art Resource, New York City.

Psychiatric Services
Pages: 426 - 429
PubMed: 25555031

History

Received: 25 February 2014
Revision received: 12 August 2014
Accepted: 26 September 2014
Published online: 2 January 2015
Published in print: April 01, 2015

Authors

Details

Tami L. Mark, Ph.D.
Dr. Mark and Ms. Wier are with Truven Health Analytics in Bethesda, Maryland, and Providence, Rhode Island, respectively. Mr. Malone is with the Federal Coordinated Health Care Office, Centers for Medicare & Medicaid Services, Baltimore. At the time this work was done, he was with the Substance Abuse and Mental Health Services Administration, Rockville, Maryland. Mr. Penne and Dr. Cowell are with Health, Social, and Economics Research, RTI International, Research Triangle Park, North Carolina. Send correspondence to Ms. Wier (e-mail: [email protected]).
Lauren M. Wier, M.P.H.
Dr. Mark and Ms. Wier are with Truven Health Analytics in Bethesda, Maryland, and Providence, Rhode Island, respectively. Mr. Malone is with the Federal Coordinated Health Care Office, Centers for Medicare & Medicaid Services, Baltimore. At the time this work was done, he was with the Substance Abuse and Mental Health Services Administration, Rockville, Maryland. Mr. Penne and Dr. Cowell are with Health, Social, and Economics Research, RTI International, Research Triangle Park, North Carolina. Send correspondence to Ms. Wier (e-mail: [email protected]).
Kevin Malone
Dr. Mark and Ms. Wier are with Truven Health Analytics in Bethesda, Maryland, and Providence, Rhode Island, respectively. Mr. Malone is with the Federal Coordinated Health Care Office, Centers for Medicare & Medicaid Services, Baltimore. At the time this work was done, he was with the Substance Abuse and Mental Health Services Administration, Rockville, Maryland. Mr. Penne and Dr. Cowell are with Health, Social, and Economics Research, RTI International, Research Triangle Park, North Carolina. Send correspondence to Ms. Wier (e-mail: [email protected]).
Michael Penne, M.P.H.
Dr. Mark and Ms. Wier are with Truven Health Analytics in Bethesda, Maryland, and Providence, Rhode Island, respectively. Mr. Malone is with the Federal Coordinated Health Care Office, Centers for Medicare & Medicaid Services, Baltimore. At the time this work was done, he was with the Substance Abuse and Mental Health Services Administration, Rockville, Maryland. Mr. Penne and Dr. Cowell are with Health, Social, and Economics Research, RTI International, Research Triangle Park, North Carolina. Send correspondence to Ms. Wier (e-mail: [email protected]).
Alexander J. Cowell, Ph.D.
Dr. Mark and Ms. Wier are with Truven Health Analytics in Bethesda, Maryland, and Providence, Rhode Island, respectively. Mr. Malone is with the Federal Coordinated Health Care Office, Centers for Medicare & Medicaid Services, Baltimore. At the time this work was done, he was with the Substance Abuse and Mental Health Services Administration, Rockville, Maryland. Mr. Penne and Dr. Cowell are with Health, Social, and Economics Research, RTI International, Research Triangle Park, North Carolina. Send correspondence to Ms. Wier (e-mail: [email protected]).

Competing Interests

The authors report no financial relationships with commercial interests.

Funding Information

Substance Abuse and Mental Health Services Administration10.13039/100000058
This study was funded through a contract from SAMHSA. The opinions expressed do not necessarily reflect those of SAMHSA or the U.S. Department of Health and Human Services.

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