Skip to main content

Abstract

Objective:

This study used Social Security Administration program data to identify population-level trends in Supplemental Security Income (SSI) program participation and payments to adult recipients with autism spectrum disorder (ASD) relative to recipients with intellectual disability and other mental disorders.

Methods:

The authors examined SSI program data from 2005 to 2015. Variables included caseload size, number of new adult awardees per year, total annual SSI payments per disability group, and average annual SSI payment per recipient.

Results:

Adults with ASD represented a growing share of the total first-time SSI awards given to adults with mental disorders, with percentages increasing from 1.3% in 2005 to 5.0% in 2015. In 2015, 158,105 adults with ASD received SSI benefits, a 326.8% increase since 2005. Federal SSI payments to adults with ASD increased by 383.2% during the same period (totaling roughly $1.0 billion in 2015). The annual average payment for adults with ASD was $6,527.40 in 2015.

Conclusions:

The purpose of the SSI program is to reduce the extent of poverty by providing monthly payments to eligible individuals with disabilities. The authors found that a large and growing number of adults with autism receive SSI benefits. This finding underscores the importance of future research related to the economic security of adults on the autism spectrum.

HIGHLIGHTS

There was a steady increase in the number of Supplemental Security Income (SSI) recipients with autism from 2005 to 2015.
The growth in the proportion of recipients among adults with autism exceeded growth in the proportion of recipients with intellectual disability and other mental disorders.
The number of SSI awardees with autism increased dramatically between 2005 and 2015, despite overall declines in total SSI awards given to adults with mental disorders.
Total federal SSI payments to adults with autism amounted to nearly $1 billion in 2015, almost a $820 million increase from 2005 when adjusted to 2015 dollars. However, the average annual payment to adults with autism spectrum disorder ($6,527 in 2015) remained relatively consistent over time.
xAutism spectrum disorder (ASD) is characterized by persistent deficits in social communication and the presence of repetitive or restrictive behaviors that impact daily functioning (1). Common co-occurring mental disorders among adults with ASD include anxiety disorders, obsessive-compulsive disorder, and depression (25). Children meeting surveillance case criteria for ASD in the United States increased from an estimated rate of 1 in 150 in 2002 to 1 in 58 in 2014 (6). It is unclear whether the rising prevalence of ASD diagnoses is due to actual increases of the disorder or to changing diagnostic and classification practices (7, 8). Whichever the case, ASD caseloads have dramatically increased across several public programs, including special education (9, 10), vocational rehabilitation (1114), state developmental disability services (1517), and Medicaid (18, 19). The growing prevalence of ASD diagnoses raises questions about the best ways to allocate public resources to meet the needs of the growing number of service users (2022).
The Supplemental Security Income (SSI) program, a federally administered income support program, provides means-tested cash benefits to elderly people, people with disabilities, and people who are blind and facilitates access to other services and supports, including Medicaid (23, 24). Between 2004 and 2014, the proportion of children in the SSI major mental disorders category who were classified as having ASD increased from 8.08% to 20.53%, the largest increase for any diagnostic group (25). There is no evidence base on SSI program growth among adults with ASD, although recent reports by the Social Security Administration (SSA) include some general statistics on participants with autism as part of a larger overview of SSI (23). The Interagency Autism Coordinating Committee, a federal advisory committee that provides advice to the Secretary of Health and Human Services on issues related to ASD, calls for the use of population-level data to understand service needs (26).
The Supplemental Security Income program provides monthly, means-tested cash payments to individuals with disabilities who are unable to work at substantial levels (23). National standards determine the maximum monthly SSI payment (or federal benefit rate) recipients can receive, although some states provide supplemental payments in addition to federal benefits (27). The federal benefit rate in 2016 was $733.00 for individuals ($1,100.00 for couples) (23). In 2016, 8.3 million people received federal SSI payments totaling $52 billion (23), constituting 1.4% of combined discretionary and mandatory federal spending (28, 29).
To qualify for SSI, working-age adults (age 18 to 64 years) must meet federally defined income, asset, and medical eligibility criteria (30). Financial eligibility and benefit amount are contingent upon the levels of resources (assets) or income that an individual has or can obtain. In 2016, an applicant’s or recipient’s assets could not exceed $2,000 for an individual ($3,000 for a couple), although equity in a home, automobiles, and other resources is not counted.
Applicants must also demonstrate they have a physical or mental impairment that will last at least 12 months or result in death and that severely limits their ability to engage in substantial gainful activity. In 2016, substantial gainful activity referred to work activity with compensation of at least $1,130 per month for nonblind individuals (23). Once an applicant passes this threshold, SSA uses the Listing of Impairments (Listings), which is a codified guide of eligible medical conditions, to determine whether the applicant meets criteria for a physical or mental health impairment (31). If necessary, an assessment of the severity of an applicant’s functional limitations is also used to determine whether the impairment is severe enough to meet medical eligibility. This assessment includes determining whether the individual can perform his or her previous work or any other job in the national economy.
This study used SSA administrative data to examine population-level trends in SSI program participation and federal payments to adults with ASD and compared these trends with trends for other groups. First, we examined overall trends for all SSI recipients. Second, we examined trends for adults with new SSI awards per year.

Methods

Drexel University reviewed and approved this study for exemption from institutional review board review.

Data

Two SSA administrative sources informed this study: the Supplemental Security Record (SSR) and the 2015 version of the Disability Analysis File (DAF). The SSR contains records for every person who has ever applied for SSI benefits since 1974 and includes information required for the processing of claims and ongoing determination of program eligibility. The DAF contains longitudinal records of individuals with disabilities who received SSI or Social Security Disability Insurance at any time since 1996. The data contained in the DAF are extracted from SSA program files and include information on benefit payments, disability type, and selected individual characteristics. Detailed information about the construction and components of these data are available elsewhere (3234). Both the SSR and the DAF are stored on SSA’s computers and are accessible only to SSA staff with security clearance. A coauthor who is an SSA employee conducted analyses for this study.
We constructed two subsets of data for this study to address each aim. The first subset included all working-age (age 18 to 64 years) SSI recipients who received benefits in at least one month during a given year from January 2005 to December 2015. The second subset included annual cohorts of working-age SSI recipients who received their first adult SSI award in any month between 2005 and 2015. Statistics presented in this study may not match SSA publications (23, 35) because of differences in the conceptualization of “SSI receipt” (such as monthly versus yearly) and data sources.

Comparison Groups

There are 11 categories of mental disorders within the Listings under which a claimant can qualify for SSI benefits: neurocognitive disorders; schizophrenia spectrum and other psychotic disorders; depressive, bipolar, and related disorders; intellectual disorder; anxiety and obsessive-compulsive disorders; somatic symptom and related disorders; personality and impulse-control disorders; autism spectrum disorder; neurodevelopmental disorders; eating disorders; and trauma- and stressor-related disorders (31). ASD was added to the Listings in 2001.
Disability adjudicators, either employees of state disability determination services or administrative law judges, are responsible for documenting the primary (and secondary, if present in the evidence) impairment used in the determination of medical eligibility for SSI. The determination of ASD is based on evidence from the applicant’s medical sources or from a physical or mental examination funded by SSA. Extensive rules govern the process and documentation needed for proof of disability. Generally, a case coded with a primary or secondary impairment of ASD is likely to actually have ASD. However, SSI recipients with ASD are sometimes tallied in another impairment category or do not have evidence of ASD in their records.
To provide context for the population with ASD, we compared recipients with a primary or secondary impairment of ASD to those in two groups that were not mutually exclusive: those with a primary or secondary impairment of intellectual disability and those in the overall population of SSI recipients with a documented primary or secondary other mental disorder, which included adults with the remaining nine mental disorders listed within the Listings.
To provide a more detailed picture of changes in SSI program participation among disability groups, adults were counted in more than one category if they had more than one documented impairment. Therefore, an adult with documented ASD and intellectual disability would be counted in both groups. We further disaggregated each disability group based on the presence of an ASD diagnosis, resulting in the following six subgroups: ASD as a primary diagnosis, ASD as a secondary diagnosis, intellectual disability with documented ASD, intellectual disability without documented ASD, other mental disorder with documented ASD, and other mental disorder without documented ASD. We chose intellectual disability and other mental disorder because these conditions and their associated characteristics commonly co-occur with ASD (36, 37).

Measures and Analysis

We examined caseload size and the number of new adult awardees to measure annual SSI program participation. “Caseload” is defined as the number of adults who received SSI benefits in at least 1 month during a given year. We also reported the distribution of SSI recipients across the ASD, intellectual disability, and other mental disorder groups as a percentage of the total number of recipients with a primary or secondary mental disorder.
“Award” refers to an administrative determination that an individual is entitled to receive monthly benefits (30). In this study, “new awardees” refers to individuals who were first awarded SSI as an adult and received their first payment in any month between 2005 and 2015. We first measured the number of annual SSI awards to adults across disability groups. Then, we calculated the percentage of awards to adults with ASD relative to the total number of awards given to adults with a documented mental disorder. Our definition of new adult awardees does not include child SSI recipients who continued to receive SSI as an adult or who, after a time of separation from SSI, returned to the program; therefore, our findings understate the total number of new adults receiving SSI under an ASD classification in a given year.
We use the term “SSI payments” when referring to the dollar amount paid to individuals in a given year. We first aggregated SSI payment amounts across individuals to examine total annual expenditures (in thousands of dollars) at the population level. Then, we reported the average annual payment per recipient. We adjusted for inflation to 2015 dollars, using annual values from the Consumer Price Index for Urban Wage Earners and Clerical Workers (38). The 2015 maximum federal SSI payment was $733 per month for individuals and $1,100 per month for couples (35). We used SAS, version 9.4, to conduct all analyses for this study.

Results

In 2005, 37,041 adults with ASD received SSI benefits, representing 1.3% of all working-age SSI recipients with a documented mental disorder. By 2015, ASD caseloads increased to 158,105 adults (or 5.0% of recipients with a mental disorder). In 2015, adults with ASD were generally younger (mean±SD age=20.9±5.3 years) and had a higher percentage of males (79.1%), compared with recipients with intellectual disability and other mental disorder (statistics not reported). The composition of recipients with ASD did not significantly change between 2005 and 2015 with respect to diagnosis type, age, and sex. Most adults had ASD listed as the primary impairment for both years (72.2% and 75.3%).

Caseload Size

Figure 1 reports the total number of SSI recipients within each disability group for each year between 2005 and 2015. Although the number of recipients increased for all groups, the growth rate in ASD caseloads exceeded that in the intellectual disability and other mental disorder groups. Between 2005 and 2015, the SSI adult population with ASD grew by 326.8%; whereas the intellectual disability and other mental disorder groups increased by 6.0% and 15.6%, respectively. The number of SSI recipients with ASD increased every year, with the greatest growth occurring between 2005 and 2009 (N=36,191, or 97.71%), which overlaps with the Great Recession. Growth slowed the following years, with an average annual percentage change of 16.3% between 2010 and 2013 and 11.2% between 2013 and 2015. Caseloads for the intellectual disability and other mental disorder groups increased at a slower rate than that for the ASD group and declined significantly between 2013 and 2015.
FIGURE 1. Number of Supplemental Security Income recipients (in thousands), by disability group and yeara
aSource: authors’ calculations using the Disability Analysis File.

New Awards to Adults

Slowing caseload growth may be due to decreases in the number of new adult SSI awardees with a mental disorder. As indicated in Table 1, the total number of adult awardees with mental impairments decreased by 16.2% between 2005 and 2015, while awards to adults with ASD grew from 3,167 to 10,632 (a 235.7% increase). By comparison, total awards to adults with intellectual disability and to adults with other mental disorder declined by 34.2% and 11.9%, respectively. The proportion of adult awardees with intellectual disability who also had documented ASD increased from 10.7% to 54.4% during the study period, suggesting that these decreases are driven by declines in the subpopulation of awardees who do not have documented ASD.
TABLE 1. Number of SSI recipients and new awardees with mental disorders, by documented impairment and yeara
 RecipientsAwardees
Impairment20052015Percentage change20052015Percentage change
Total mental disorders2,811,1943,185,47713.3%218,705183,178–16.2%
Autism spectrum disorder (ASD)b37,041158,105326.8%3,16710,632235.7%
 Primary26,753119,121345.3%2,4998,603244.3%
 Secondary10,28838,984278.9%6792,039200.3%
Intellectual disability998,1311,058,4436.0%23,65015,558–34.2%
 ASD diagnosis13,48443,849225.2%2,5508,473232.3%
 No ASD diagnosis984,6471,014,5943.0%21,1007,085–66.4%
Other mental disorder2,066,9002,390,07415.6%191,888168,992–11.9%
 ASD diagnosis9,910158,1051495.4%1,0372,169109.2%
 No ASD diagnosis2,056,9902,231,9698.5%190,851166,823–12.6%
a
Source: Authors’ calculations using the Disability Analysis File. Recipients were adults ages 18 to 64 years. New awardees are individuals who were first awarded SSI as an adult and received their first payment in any month between 2005 and 2015.
b
The sum of recipients and awards with primary and secondary diagnoses of ASD is greater than the total number for ASD because some individuals have the disorder as both a primary and secondary diagnosis.
Table 2 summarizes annual federal SSI payments (not including federally administered state supplementations to federal SSI benefits), adjusted to 2015 dollars. In 2015, the ASD group received 5.3% (roughly $1.0 billion) of total federal SSI payments to recipients with mental disorders (just over $19.6 billion); the intellectual disability group received 33.8% and the other mental disorder group received 75.1% of these payments. Because the three disability groups are not mutually exclusive, the sum payments across groups is larger than the total percentage and dollar amounts indicated in Table 2. The average annual federal payment to adults with ASD was $6,527.40 in 2015, which is higher than the average annual federal payment to either the intellectual disability group ($6,270.40) or the other mental disorder group ($6,163.70). There are several reasons why these amounts are less than the full benefit amount, such as concurrent receipt of disability insurance and the presence of earnings, which we did not explore in this paper. It should be noted that the SSI program serves as a point of entry for health insurance, and many SSI recipients are also enrolled in Medicaid. Our measure of SSI expenditures does not account for rising health care expenses.
TABLE 2. Supplemental Security Income payments in 2005 and 2015 (in 2015 dollars), by disability groupa
 Total annual payments (in thousands)Average annual payment per recipient
Disability group20052015Percentage difference20052015Difference
Autism spectrum disorder213,576.81,032,015.3383.2%5,766.06,527.4761.5
Intellectual disability5,667,288.46,636,807.417.1%5,677.96,270.4592.5
Other mental disorder11,102,993.014,731,648.132.7%5,371.86,163.7791.9
Total15,214,033.119,607,392.928.9%5,411.96,155.3743.3
a
Source: authors’ calculations using the Disability Analysis File.

Discussion

Supplemental Security Income plays an important role in securing the economic well-being of adults with ASD. In 2015, 158,105 adults with ASD relied on SSI benefits. To put this number in context, special education services covered 575,796 students with ASD (39) and vocational rehabilitation services closed 17,753 cases for service users with ASD in 2014 (40). The proportion of adult SSI recipients with ASD increased between 2005 and 2015, and this growth is consistent with the growth rates reported for child SSI recipients with ASD (25). Although the total annual SSI payments to adults with ASD increased, the growth in the average federal payment per recipient was smaller. This finding suggests that the increase in SSI payments is largely driven by increases in the number of adults served, and not by increased costs per recipient.
Growth in ASD caseloads exceeded that of the growth in the total population of recipients with mental disorders; thus, increases in ASD caseload size are not a result of overall SSI program growth. Other related explanations for caseload growth could include growing awareness of ASD and changing diagnostic practices and criteria (7). Our findings also suggest that changes in the labor market have important implications for SSI program participation. Consistent with research showing an inverse association between adult SSI applications and the U.S. unemployment rate (41), the greatest growth in ASD caseload size occurred between 2005 and 2009 (during the Great Recession), despite there having been no significant changes in SSA policies or eligibility criteria. Future research aimed at identifying the determinants of ASD caseload is needed.
The inverse association between the change in the ASD caseload and the change in the intellectual disability caseload suggests that diagnostic substitution may contribute to the growth in the ASD caseload. Diagnostic substitution occurs when changes in diagnostic procedures lead to the replacement of one diagnosis (i.e., intellectual disability) with another (i.e., ASD), resulting in an apparent increase in prevalence of the second condition (42). The potential role of diagnostic substitution among children and adolescents with ASD has been supported in previous research (9, 11, 25, 42). However, the magnitude of the decline of the intellectual disability and other mental disorder SSI caseloads is not comparable to the magnitude of growth seen in the ASD group, which suggests that diagnostic substitution may not fully explain group differences. We note that ASD is distinct from intellectual disability and can be impairing enough to qualify for assistance. Evidence from community-based samples suggests that the recent growth in ASD prevalence is concentrated in subpopulations of individuals without co-occurring intellectual disability (43, 44), reinforcing that ASD can be severely disabling even if it is not accompanied by intellectual disability. To shed light on these issues, future research could disaggregate ASD samples by the presence or absence of intellectual disability. A more nuanced assessment of group differences among subgroups of adults with mental health impairments could also provide useful information, given high rates of comorbid conditions among the ASD population.
These data provide tabulations of the population of new adult SSI recipients within a given year, which is a major advantage for policy monitoring and evaluation. However, the data do not capture the entire population that might be eligible for SSI. We can determine the number of program participants with ASD, but not the proportion of the potentially eligible population of adults with ASD who participate in SSI. Despite this limitation, our study addresses a critical gap in existing research by reporting accurate data on program participation and expenditures for SSI recipients with ASD. Building an accurate description of this population is necessary to identify the optimal means of service delivery targeting individuals with ASD. Future research can extend this area of inquiry by examining how adults with ASD interact with the SSI program across the life course and how these interactions are related to later outcomes.

References

1.
Diagnostic and Statistical Manual of Mental Disorders, 5th ed. Arlington, VA, American Psychiatric Association, 2013
2.
Buck TR, Viskochil J, Farley M, et al: Psychiatric comorbidity and medication use in adults with autism spectrum disorder. J Autism Dev Disord 2014; 44:3063–3071
3.
Croen LA, Zerbo O, Qian Y, et al: The health status of adults on the autism spectrum. Autism 2015; 19:814–823
4.
Lugnegård T, Hallerbäck MU, Gillberg C: Psychiatric comorbidity in young adults with a clinical diagnosis of Asperger syndrome. Res Dev Disabil 2011; 32:1910–1917
5.
Lever AG, Geurts HM: Psychiatric co-occurring symptoms and disorders in young, middle-aged, and older adults with autism spectrum disorder. J Autism Dev Disord 2016; 46:1916–1930
6.
Christensen DL, Baio J, Van Naarden Braun K, et al: Prevalence and characteristics of autism spectrum disorder among chidren aged 8 years – autism and developmental disabilities monitoring network, 11 sites, United States, 2012. MMWR Surveill Summ 2016; 65:1–23
7.
Lyall K, Croen L, Daniels J, et al: The changing epidemiology of autism spectrum disorders. Annu Rev Public Health 2017; 38:81–102
8.
Rutter M: Incidence of autism spectrum disorders: changes over time and their meaning. Acta Paediatr 2005; 94:2–15
9.
Newschaffer CJ, Falb MD, Gurney JG: National autism prevalence trends from United States special education data. Pediatrics 2005; 115:e277–e282
10.
Larson SA, Lakin KC: Changes in the primary diagnosis of students with intellectual or developmental disabilities ages 6 to 21 receiving special education services 1999 to 2008. Intellect Dev Disabil 2010; 48:233–238
11.
Migliore A, Butterworth J, Zalewska A: Trends in vocational rehabilitation services and outcomes of youth with autism: 2006–2010. Rehabil Couns Bull 2014; 57:80–89
12.
Lawer L, Brusilovskiy E, Salzer MS, et al: Use of vocational rehabilitative services among adults with autism. J Autism Dev Disord 2009; 39:487–494
13.
Roux AM, Rast JE, Anderson KA, et al: National Autism Indicators Report: Vocational Rehabilitation. Philadelphia, Drexel University, 2016. https://drexel.edu/autismoutcomes/publications-and-reports/publications/National-Autism-Indicators-Report-Vocational-Rehabilitation/
14.
Cimera RE, Cowan RJ: The costs of services and employment outcomes achieved by adults with autism in the US. Autism 2009; 13:285–302
15.
Roux AM, Shattuck PS, Rast JE, et al: National Autism Indicators Report: Developmental Disability Services and Outcomes in Adulthood. Philadelphia, Drexel University, 2017. https://drexel.edu/autismoutcomes/publications-and-reports/publications/National-Autism-Indicators-Report-Developmental-Disability-Services-and-Outcomes-in-Adulthood/
16.
Hewitt AS, Stancliffe RJ, Hall-Lande J, et al: Characteristics of adults with autism spectrum disorder who use residential services and supports through adult developmental disability services in the United States. Res Autism Spectr Disord 2017; 34:1–9
17.
Schechter R, Grether JK: Continuing increases in autism reported to California’s developmental services system: Mercury in retrograde. Arch Gen Psychiatry 2008; 65:19–24
18.
Semansky RM, Xie M, Mandell DS: Medicaid’s increasing role in treating youths with autism spectrum disorders. Psychiatr Serv 2011; 62:588
19.
Mandell DS, Cao J, Ittenbach R, et al: Medicaid expenditures for children with autistic spectrum disorders: 1994 to 1999. J Autism Dev Disord 2006; 36:475–485
20.
Knapp M, Buescher A: Economic aspects of autism, in Handbook of Autism and Pervasive Developmental Disorders: Diagnosis, Development, and Brain Mechanisms, 4th ed, vol. 1. Edited by Volkmar FR, Rogers SJ, Pelphrey KA. Hoboken, NJ, Wiley, 2014, pp 1089–1106
21.
Gerhardt PF, Lainer I: Addressing the needs of adolescents and adults with autism: a crisis on the horizon. J Contemp Psychother 2011; 41:37–45
22.
Newschaffer CJ, Curran LK: Autism: an emerging public health problem. Public Health Rep 2003; 118:393–399
23.
SSI Annual Statistical Report, 2016. SSA pub no 13-11827. Washington, DC, Social Security Administration, Office of Research, Evaluation and Statistics, 2017. https://www.ssa.gov/policy/docs/statcomps/ssi_asr/2016/ssi_asr16.pdf
24.
Burns M, Dague L: The effect of expanding Medicaid eligibility on Supplemental Security Income program participation. J Public Econ 2017; 149:20–34
25.
National Academies of Sciences, Engineering, and Medicine: Mental Disorders and Disabilities Among Low-Income Children. Washington, DC, National Academies Press, 2015. http://iom.nationalacademies.org/ Reports/2015/Mental-Disorders-and-Disabilities-Among-Low-Income-Children.aspx
26.
2016–2017 IACC Strategic Plan for Autism Spectrum Disorder Research. Washington, DC, US Department of Health and Human Services, Interagency Autism Coordinating Committee, 2013. https://iacc.hhs.gov/publications/strategic-plan/2017/strategic_plan_2017.pdf
27.
SSI Recipients by State and County, 2013. SSA pub no 13-11976. Washington, DC, Social Security Administration, Office of Research, Evaluation and Statistics, 2014. https://www.ssa.gov/policy/docs/statcomps/ssi_sc/2013/ssi_sc13.pdf
28.
Costantino M, Angres L: Discretionary Spending in 2016: An Infographic. Washington, DC, Congressional Budget Office, 2017. https://www.cbo.gov/sites/default/files/115th-congress-2017-2018/graphic/52410-budgetdiscretionary.pdf
29.
Angres L, Costantino M: Mandatory Spending in 2016: An Infographic. Washington, DC, Congressional Budget Office, 2017. https://www.cbo.gov/sites/default/files/115th-congress-2017-2018/graphic/52409-budgetmandatory.pdf
30.
Duggan M, Kearney MS, Rennane S: The Supplemental Security Income (SSI) Program. Working paper 21209. Cambridge, MA, National Bureau of Economic Research, 2015. http://econweb.umd.edu/∼rennane/w21209.pdf
31.
Disability Evaluation Under Social Security, Listing of Impairments – Adult Listings (Part A). Baltimore, Social Security Administration, 2014. https://www.ssa.gov/disability/professionals/bluebook/AdultListings.htm?src=gsn100ttps://www.ssa.gov/disability/professionals/bluebook/AdultListings.htm?src=gsn100. Accessed April 23, 2018
32.
Lee M, Phelps D, Hyde JS. User’s Guide for the Disability Analysis File: DAF15, vol. I: II. Washington, DC, Mathematica Policy Research, 2013. https://www.ssa.gov/disabilityresearch/daf.html#main_doc
33.
Restricted-Use NCHS-SSA Data. Atlanta, Centers for Disease Control and Prevention, National Center for Health Statistics. https://www.cdc.gov/nchs/data-linkage/ssa-restricted.htm. Accessed April 23, 2018
34.
Panis C, Euller R, Grant C, et al: SSA Program Data User’s Manual. Baltimore, Social Security Administration, 2000
35.
SSI Annual Statistical Report, 2015. SSA pub no 13-11827. Washington, DC, Social Security Administration, Office of Research, Evaluation and Statistics, 2017. https://www.ssa.gov/policy/docs/statcomps/ssi_asr/2015/ssi_asr15.pdf
36.
Stadnick N, Chlebowski C, Baker-Ericzén M, et al: Psychiatric comorbidity in autism spectrum disorder: correspondence between mental health clinician report and structured parent interview. Autism 2017; 21:841–851
37.
Matson JL, Williams LW: Differential diagnosis and comorbidity: distinguishing autism from other mental health issues. Neuropsychiatry (London) 2013; 3:233–243
38.
Consumer Price Index for Urban Wage Earners and Clerical Workers. Baltimore, Social Security Administration, 2016. https://www.ssa.gov/oact/STATS/avgcpi.html. Accessed April 23, 2018
39.
Rast JE, Roux AM, Shattuck PT: Disciplinary Action: Special Education and Autism. Philadelphia, Drexel University, 2017. https://drexel.edu/autismoutcomes/publications-and-reports/publications/IDEA-Disciplinary-Action/. Accessed April 23, 2018
40.
Case Service Report (RSA-911). Washington, DC, US Department of Education, Rehabilitation Services Administration, 2014
41.
Nichols A, Schmidt L, Sevak P: Economic conditions and Supplemental Security Income application. Soc Sec Bull 2017; 77:27–44
42.
Shattuck PT: The contribution of diagnostic substitution to the growing administrative prevalence of autism in US special education. Pediatrics 2006; 117:1028–1037
43.
Intellectual Disability and ASD. Philadelphia, Center for Autism Research, The Children’s Hospital of Philadelphia Research Institute, 2014. https://www.carautismroadmap.org/intellectual-disability-and-asd/?print=pdf. Accessed online April 23, 2018
44.
Keen D, Ward S: Autistic spectrum disorder: a child population profile. Autism 2004; 8:39–48

Information & Authors

Information

Published In

Go to Psychiatric Services
Go to Psychiatric Services
Psychiatric Services
Pages: 602 - 607
PubMed: 32264799

History

Received: 24 May 2019
Revision received: 12 November 2019
Accepted: 3 January 2020
Published online: 8 April 2020
Published in print: June 01, 2020

Keywords

  1. Autism
  2. Disability benefits ADULTS
  3. POVERTY

Authors

Details

Kristy A. Anderson, M.S.W. [email protected]
A. J. Drexel Autism Institute, Drexel University, Philadelphia (Anderson, Rast, Roux, Shattuck); Office of Research, Demonstration, and Employment Support, Social Security Administration, Baltimore (Hemmeter).
Jeffrey Hemmeter, Ph.D.
A. J. Drexel Autism Institute, Drexel University, Philadelphia (Anderson, Rast, Roux, Shattuck); Office of Research, Demonstration, and Employment Support, Social Security Administration, Baltimore (Hemmeter).
Jessica E. Rast, M.P.H.
A. J. Drexel Autism Institute, Drexel University, Philadelphia (Anderson, Rast, Roux, Shattuck); Office of Research, Demonstration, and Employment Support, Social Security Administration, Baltimore (Hemmeter).
Anne M. Roux, M.P.H.
A. J. Drexel Autism Institute, Drexel University, Philadelphia (Anderson, Rast, Roux, Shattuck); Office of Research, Demonstration, and Employment Support, Social Security Administration, Baltimore (Hemmeter).
Paul T. Shattuck, Ph.D.
A. J. Drexel Autism Institute, Drexel University, Philadelphia (Anderson, Rast, Roux, Shattuck); Office of Research, Demonstration, and Employment Support, Social Security Administration, Baltimore (Hemmeter).

Notes

Send correspondence to Ms. Anderson ([email protected]). This report is based on a presentation at the International Meeting for Autism Research, May 10–13, 2017, San Francisco.

Competing Interests

The authors report no financial relationships with commercial interests.

Funding Information

This project was supported by the Health Resources and Services Administration (HRSA) of the U.S. Department of Health and Human Services (HHS) under UJ2MC31073: Maternal and Health–ASD Transitions Research Project. This research was also supported by the Organization for Autism Research, Inc., applied research grant, “Usage Trends and Characteristics of SSI Recipients on the Autism Spectrum.” This information or content and conclusions are those of the authors and should not be construed as the official position or policy of HRSA, HHS, or the U.S. Government, nor should any endorsements by these organizations be inferred. The findings and conclusions are solely those of the authors and do not represent the views of the Social Security Administration.

Metrics & Citations

Metrics

Citations

Export Citations

If you have the appropriate software installed, you can download article citation data to the citation manager of your choice. Simply select your manager software from the list below and click Download.

For more information or tips please see 'Downloading to a citation manager' in the Help menu.

Format
Citation style
Style
Copy to clipboard

View Options

View options

PDF/EPUB

View PDF/EPUB

Login options

Already a subscriber? Access your subscription through your login credentials or your institution for full access to this article.

Personal login Institutional Login Open Athens login
Purchase Options

Purchase this article to access the full text.

PPV Articles - Psychiatric Services

PPV Articles - Psychiatric Services

Not a subscriber?

Subscribe Now / Learn More

PsychiatryOnline subscription options offer access to the DSM-5-TR® library, books, journals, CME, and patient resources. This all-in-one virtual library provides psychiatrists and mental health professionals with key resources for diagnosis, treatment, research, and professional development.

Need more help? PsychiatryOnline Customer Service may be reached by emailing [email protected] or by calling 800-368-5777 (in the U.S.) or 703-907-7322 (outside the U.S.).

Media

Figures

Other

Tables

Share

Share

Share article link

Share