Is the Autism Boom Headed for Medicaid? Patterns in the Enrollment of Autistic Adults in Wisconsin Medicaid, 2008-2018

Inequities in medicaid home- and community-based services waiver enrollment among people with intellectual and/or developmental disabilities: A nationwide claims-based analysis

BACKGROUND

States use Medicaid 1915(c) waiver programs to enable access to home- and community-based services for people with intellectual and/or developmental disabilities (I/DD). However, enrollment rates and potential inequities are not well documented, impeding efforts to improve care access and quality for waiver program enrollees, especially for racially minoritized beneficiaries experiencing compounded barriers to services and supports.

OBJECTIVE

To characterize year-by-year 1915(c) waiver program enrollment among Medicaid-enrolled adults with I/DD from 2016 to 2019 and to analyze population-level inequities by type of I/DD and racial/ethnic group.

METHODS

Our data source was 2016-2019 Medicaid Transformed Medicaid Statistical Information System Analytic Files Demographic and Eligibility files for beneficiaries with Down syndrome, autism, and intellectual disability. We used generalized estimating equation linear models to estimate the associations of type of I/DD and racial/ethnic group with the probability of 1915(c) waiver program enrollment and reported (1) unadjusted estimates and (2) estimates adjusted for demographics with state and year fixed effects.

RESULTS

From 2016 to 2019, across all types of I/DD and racial/ethnic groups, unadjusted 1915(c) waiver program enrollment rates ranged from 40 to 60 % nationwide. We found modest growth in 1915(c) I/DD waiver program enrollment but persistent inequities over time. Compared to beneficiaries with intellectual disabilities, beneficiaries with autism were less likely to enroll while beneficiaries with Down syndrome were more likely. While some racial/ethnic groups had higher unadjusted mean enrollment, after adjustment, racially minoritized beneficiaries were 3.66-12.0 percentage points less likely to enroll compared to white non-Hispanic beneficiaries.

CONCLUSIONS

Given extensive waiting lists for 1915(c) waiver programs, Medicaid programs should evaluate existing enrollment and authorization processes and consider alternative HCBS program authorities.

Autism Among Adults with Down Syndrome: Prevalence, Medicaid Usage, and Co-Occurring Conditions

Our objective was to examine occurrence of both conditions in Medicaid; and compare Medicaid service use and cost, and chronic conditions among adults with Down syndrome and autism to those with Down syndrome alone and those with autism alone. We used ICD9 and ICD10 codes in Medicaid claims and encounters from 2011 to 2019 to identify autism and Down syndrome in adults > 18 years. We then calculated costs, claims, hospitalizations, long term care days, and chronic conditions, and compared by group- autism alone, Down syndrome alone, Down syndrome + autism. Between 2011 and 2019, there were 519,450 adult Medicaid enrollees who met our criteria for autism (N = 396,426), Down syndrome (N = 116,422), or both Down syndrome and autism (N = 6,602). In 2011, 4.1% of enrollees with Down syndrome had co-occurring autism; by 2011 it was 6.6%. The autism group had the fewest claims and inpatient hospitalizations, followed by the Down syndrome group, then the Down syndrome + autism group. After age adjustment, those with Down syndrome alone and Down syndrome + autism had elevated prevalence of atrial fibrillation, dementia, heart failure, kidney disease, and obesity compared to the autism alone group. Both groups also had decreased occurrence of depression and hypertension compared to the autism alone group. Prevalence of autism is higher among people with Down syndrome than in peers. The increased costs and service use for those with both conditions highlight the extent to which this population need health care and signal the need for more effective preventative care and therapies.

Medicare, Medicaid, and dual enrollment for adults with intellectual and developmental disabilities

OBJECTIVE

Given high rates of un- and underemployment among disabled people, adults with intellectual and developmental disabilities rely on Medicaid, Medicare, or both to pay for healthcare. Many disabled adults are Medicare eligible before the age of 65 but little is known as to why some receive Medicare services while others do not. We described the duration of Medicare enrollment for adults with intellectual and developmental disabilities in 2019 and then compared demographics by enrollment type (Medicare-only, Medicaid-only, dual-enrolled). Additionally, we examined the percent in each enrollment type by state, and differences in enrollment type for those with Down syndrome.

DATA SOURCES AND STUDY SETTING

2019 Medicare and Medicaid claims data for all adults (≥18 years) in the US with claim codes for intellectual disability, Down syndrome, or autism at any time between 2011 and 2019.

STUDY DESIGN

Administrative claims cohort.

DATA COLLECTION AND ABSTRACTION METHODS

Data were from the Transformed Medicaid Statistical Information System Analytic Files and Medicare Beneficiary Summary files.

PRINCIPLE FINDINGS

In 2019, Medicare insured 582,868 adults with identified intellectual disability, autism, or Down syndrome. Of 582,868 Medicare beneficiaries, 149,172 were Medicare only and 433,396 were dual-enrolled. Most Medicare enrollees were enrolled as child dependents (61.5%) Medicaid-only enrollees (N = 819,256) were less likely to be white non-Hispanic (58.5% white non-Hispanic vs. 72.9% white non-Hispanic in dual-enrolled), more likely to be Hispanic (19.6% Hispanic vs. 9.2% Hispanic in dual-enrolled) and were younger (mean 34.2 years vs. 50.5 years dual-enrolled).

CONCLUSION

There is heterogeneity in public insurance enrollment which is associated with state and disability type. Action is needed to ensure all are insured in the program that works for their healthcare needs.

Self-Report Measurement of Well-Being in Autistic Adults: Psychometric Properties of the PERMA Profiler

Background

Studies of positive psychology and emotional well-being have broadened our understanding of mental health. However, mental health research involving autistic adults has been largely deficit-focused. Few studies have examined well-being using established positive psychological frameworks.

Methods

This study examined the psychometric characteristics of the PERMA Profiler, a 23-item questionnaire that measures well-being across five subscales (Positive emotion, Engagement, Relationships, Meaning, and Accomplishment), in a sample of 517 autistic adults ages 18-84 years (M = 39.5, standard deviation [SD] = 13.3). Reliability (internal consistency), structural validity (via confirmatory factor analysis including bifactor modeling), and concurrent validity were examined.

Results

The PERMA Profiler mean (SD) well-being score was 5.4 (SD = 1.7), which is notably lower than the mean of 7.0 previously found in nonautistic samples. Subscale scores were highest for Engagement (M = 6.8; SD = 1.9), followed by Accomplishment (M = 5.6; SD = 2.2), Relationships (M = 5.2; SD = 2.6), Meaning (M = 5.2; SD = 2.7), and Positive emotion (M = 5.0; SD = 2.4). Factor analyses revealed strong psychometrics (Cronbach's α = 0.93; Comparative Fit Index = 0.94; Tucker-Lewis Index = 0.97; root mean square error of approximation = 0.08; standardized root mean residual = 0.05) and superior fit of the bifactor model, supporting a general factor for conceptualizing well-being as opposed to a five-factor model. PERMA well-being and subscale scores were significantly correlated (p < 0.001) with mental health conditions and life satisfaction.

Conclusion

These findings support use of an adapted version of the PERMA Profiler in mental health research to evaluate well-being among autistic adults. Similar to studies with nonautistic populations, the Engagement measure may not capture the experiences of the autistic population and further refinement is needed. Follow-up research should represent a more diverse autistic population, collaborate with autistic coinvestigators, and explore potential correlates of well-being (such as social stigma) while using the PERMA Profiler.

Relationship of Nonsteroidal Anti-Inflammatory Drug Use During Pregnancy with Autism Spectrum Disorder and Intellectual Disability Among Offspring

Objective: This study aimed to examine the association of nonsteroidal anti-inflammatory drug (NSAID) use by pregnant women during pregnancy with autism spectrum disorder (ASD) and intellectual disability (ID) in their children among Medicaid-insured mother-child dyads. Materials and Methods: We conducted a retrospective cohort study linking multiple datasets of South Carolina for the years between 2010 and 2017, in which the main exposure variable was NSAID use during pregnancy and outcome variables were ASD only, ID only, and ASD with ID. We conducted a multinomial logistic regression analysis, controlling for identified risk factors for ASD (mother's age, race, body-mass index, preeclampsia, and gestational diabetes). Results: NSAID use during pregnancy was found to be associated with ID only in both unadjusted and adjusted analyses. Children with mothers who had NSAID prescriptions were 26% more likely to have ID in comparison with children whose mothers did not have NSAID prescriptions (odds ratio: 1.26 [1.10-1.46]). The other risk factors identified for ASD were maternal age, race, preeclampsia, smoking, low birth weight, and obesity. For ID, the risk factors were maternal age, race, smoking, birth weight, overweight, and obesity, all of which were also associated with ASD with ID, except for overweight. Conclusions: NSAID usage during pregnancy was found to be associated with ID only and not with ASD. However, more research is needed to validate the effect of NSAIDs during pregnancy on ASD and ID among children.

Health Care Needs, Experiences, and Perspectives of Autistic Adults

Background

Autistic adults have high rates of co-occurring health conditions, suicide, and premature mortality, yet often experience health care barriers and poor health outcomes. A better understanding of the health care needs and experiences of autistic adults is essential for improving the health care system and patient experience.

Methods

This study examined the perspectives of autistic adults regarding their health care experiences in primary care and other settings and their suggestions for improvement using both qualitative and quantitative methods. Twenty autistic adults (aged 18-35 years, 65% male) completed surveys and individual semi-structured interviews.

Results

Qualitative data analysis results revealed 10 subthemes across 3 overarching themes: (1) system- and clinic-level factors affect access to care, (2) aspects of the clinic environment affect health care experiences, and (3) provider knowledge and practices affect health care experiences. Within the first theme, participants described barriers to obtaining services, including scheduling logistics, costs and inadequate insurance coverage, and transportation barriers. The second theme focused on aspects of the clinic environment that participants found especially relevant to their health care experiences and that required specific accommodations. This included sensory input, anxiety-provoking situations and procedures, and wait time. Within the third theme, participants emphasized aspects of providers' care that affected their health care experiences. Key factors included provider knowledge about autism, communication, rapport, and individualized care and patient-provider partnerships.

Conclusion

Overall, the findings point to a need for provider training and improvements to the health care delivery system to better meet the unique needs of autistic adults.

Mortality rate and age of death among Medicare-enrolled autistic older adults

Background

An emerging body of evidence suggests that autistic people are at greater risk for mortality than non-autistic people. Yet, relatively little is known about mortality rates among autistic people during older adulthood (i.e., age 65 or older).

Methods

We examined 5-year mortality among a national US sample of Medicare-enrolled autistic (n=3,308) and non-autistic (n=33,080) adults aged 65 or older.

Results

Autistic older adults had 2.87 times greater rate of mortality (95% CI=2.61-3.07) than non-autistic older adults. Among decedents (39.6% of autistic and 15.1% of non-autistic older adults), the median age of death was 72 years (IQR=69-78) for autistic and 75 years (IQR=70-83) for non-autistic older adults. Among autistic older adults, those with intellectual disability had 1.57 times greater rate of mortality (95% CI=1.41-1.76) than those without, and males had 1.27 times greater rate of mortality (95% CI=1.12-1.43) than females.

Conclusions

Many trends regarding mortality observed in younger samples of autistic people were also observed in our study. However, we found only a three-year difference in median age at death between autistic and non-autistic decedents, which is a much smaller disparity than reported in some other studies. This potentially suggests that when autistic people live to the age of 65, they may live to a more similar age as non-autistic peers.

Heterogeneity in Autism Spectrum Disorder Case-Finding Algorithms in United States Health Administrative Database Analyses

Strengthening systems of care to meet the needs of individuals with autism spectrum disorder (ASD) is of growing importance. Administrative data provide advantages for research and planning purposes, including large sample sizes and the ability to identify enrollment in insurance coverage and service utilization of individuals with ASD. Researchers have employed varying strategies to identify individuals with ASD in administrative data. Differences in these strategies can limit the comparability of results across studies. This review describes implications of the varying strategies that have been employed to identify individuals with ASD in US claims databases, with consideration of the strengths and limitations of each approach.

Fertility rates in women with intellectual and developmental disabilities in Wisconsin Medicaid

BACKGROUND

Women with intellectual and developmental disabilities (IDD) face stigma and inequity surrounding opportunity and care during pregnancy. Little work has quantified fertility rates among women with IDD which prevents proper allocation of care.

OBJECTIVE

Our objective was to cross-sectionally describe fertility patterns among women with and without intellectual and developmental disabilities (IDD) in 10-years of Medicaid-linked birth records.

STUDY DESIGN

Our sample was Medicaid-enrolled women with live births in Wisconsin from 2007 to 2016. We identified IDD through prepregnancy Medicaid claims. We calculated general fertility-, age-specific-, and the total fertility-rates and 95% confidence intervals (95% CI) for women with and without IDD and generated estimates by year and IDD-type.

RESULTS

General fertility rate in women with IDD was 62.1 births per 1000 women with IDD (95% CI 59.2, 64.9 per 1000 women) and 77.1 per 1000 for women without IDD (95% CI: 76.8, 77.4 per 1000 women). General fertility rate ratio was 0.81 (95% CI: 0.7, 0.9). Total fertility was 1.80 births per woman with IDD and 2.05 births per woman without IDD (rate ratio: 0.89 95% CI: 0.5, 1.5). Peak fertility occurred later for autistic women (30-34 years), compared with women with other IDD (20-24 years).

CONCLUSION

In Wisconsin Medicaid, general fertility rate of women with IDD was lower than women without IDD: the difference was attenuated when accounting for differing age distributions. Results highlight the disparities women with IDD face and the importance of allocating pregnancy care within Medicaid.

Birth outcomes affecting infants of mothers with intellectual and developmental disabilities

BACKGROUND

Women with intellectual and developmental disabilities (IDD) face increased risk of adverse maternal pregnancy outcomes, yet less is known about infant outcomes.

OBJECTIVES

To examine birth outcomes of infants born to mothers with IDD and assess associations with demographics and IDD-type.

METHODS

We used data from the Big Data for Little Kids project, which links Wisconsin birth records to Medicaid claims for live births covered by Medicaid from 2007 to 2016. We identified IDD using maternal prepregnancy Medicaid claims and ran Poisson regression (with a log link function) with robust variance clustered by mother to compare prevalence of outcomes between singleton births with and without mothers with IDD. We adjusted the associations for demographic factors and estimated prevalence ratios (PR) as the effect measure. We assessed outcomes by IDD-type (intellectual disability, genetic conditions, cerebral palsy, and autism spectrum disorder) to explore differences by categories of IDD.

RESULTS

Of 267,395 infants, 1696 (0.6%) had mothers with IDD. A greater percentage of infants with mothers with IDD were born preterm (12.8% vs 7.8%; PR 1.64, 95% confidence interval [CI] 1.42, 1.89), small for gestational age (8.5% vs 5.4%; PR 1.42, 95% CI 1.25, 1.61), and died within 12 months of birth (3.2% vs 0.7%; PR 4.93, 95% CI 3.73, 6.43) compared to infants of mothers without IDD. Prevalence ratios were robust to adjustment for demographics factors. Estimates did not meaningfully differ when comparing different IDD-types.

CONCLUSIONS

A greater porportion of infants born to mothers with IDD who were covered by Medicaid had poor outcomes compared to other infants. Prevalence of poor infant outcomes was greater for mothers with IDD even after accounting for demographic differences. It is imperative to understand why infants of mothers with IDD are at greater risk so interventions and management can be developed.

Autism spectrum disorder in older adults with intellectual disability: a scoping review

INTRODUCTION

Ireland has an ageing population of persons with intellectual disability (ID), autism spectrum disorder (ASD) and both (ID/ASD). Despite this, little is known about the prevalence of ASD and its effect on functional outcomes, psychiatric comorbidity or diagnostic issues in an older population with ID. This article reviews the literature on older adults with ID/ASD and identifies opportunities for future research in this population.

METHOD

The authors searched the Medline, Pubmed, Embase, CINAHL and PsychInfo databases using the search terms using key words: (older adults) AND (ID OR mental retardation OR learning disability) AND (autism OR ASD). After excluding articles for relevance, a scoping review was carried out on the results retrieved.

RESULTS

Of the 1227 articles retrieved from the literature on ID and autism/ASD in older adults, 85 articles were relevant to an adult population with ID/ASD. The data were collated and are presented covering domains of diagnosis, prevalence, psychiatric comorbidities and functional outcomes.

CONCLUSIONS

Despite increased prevalence in childhood ASD in the last 20 years, there is a lack of research regarding adults, especially older adults, with ASD, up to half of whom will have some level of ID. The existing literature suggests that older adults with ID/ASD may have reduced functional independence, increased psychiatric comorbidity and psychotropic prescribing and more behavioural presentations than the older population generally or those with ID only. There is a need for longitudinal data to be collected on this ageing population so that care and management needs can be met in the future.

Special Issue on Occupational Therapy With Neurodivergent People

The neurodiversity movement presents a significant opportunity for occupational therapy practitioners to meet the needs of neurodivergent people across the life course The term neurodiverse includes autistic people and people with intellectual disabilities, attention deficit hyperactivity disorder, obsessive-compulsive disorder, and several other mental health conditions. Research shows that neurodivergent people continue to need occupational therapy beyond the end of high school, when most supports and services end for them. Despite research showing that the needs of neurodiverse populations continue throughout the life course, research also shows that services for this population seem to taper as they progress through the public school system. The studies in this issue add to the body of literature supporting the role of occupational therapy practitioners in meeting the needs of neurodiverse people for services and supports through all stages of life.

Epilepsy in adulthood: Prevalence, incidence, and associated antiepileptic drug use in autistic adults in a state Medicaid system

LAY ABSTRACT

Epilepsy is more common in autistic children compared to children without autism, but we do not have good estimates of how many autistic adults have epilepsy. We used data from a full population of 7513 autistic adults who received Medicaid in Wisconsin to figure out the proportion of autistic adults who have epilepsy, as compared to 18,429 adults with intellectual disability. We also wanted to assess how often epilepsy is first diagnosed in adulthood. Finally, we wanted to see whether antiepileptic drugs are being used to treat epilepsy in autistic adults. We found that 34.6% of autistic adults with intellectual disability and 11.1% of autistic adults without intellectual disability had epilepsy, compared to 27.0% of adults with intellectual disability alone. Autistic women and autistic adults with intellectual disability were more likely than autistic men and autistic adults without intellectual disability to have both previous and new diagnoses of epilepsy. Finally, we found that antiepileptic medications are commonly prescribed to autistic people who do not have epilepsy potentially to treat mental health conditions or behavior problems, and that antiepileptic medications are not always prescribed to autistic people with epilepsy even though they are indicated as a first-line epilepsy treatment. The findings of this study highlight the need to effectively treat and prevent epilepsy in autistic adults.

Pregnancy complications and maternal birth outcomes in women with intellectual and developmental disabilities in Wisconsin Medicaid

BACKGROUND

Women with intellectual and developmental disabilities (IDD) may face greater risk for poor pregnancy outcomes. Our objective was to examine risk of maternal pregnancy complications and birth outcomes in women with IDD compared to women without IDD in Wisconsin Medicaid, from 2007-2016.

METHODS

Data were from the Big Data for Little Kids project, a data linkage that creates an administrative data based cohort of mothers and children in Wisconsin. Women with ≥1 IDD claim the year before delivery were classified as having IDD. Common pregnancy complications and maternal birth outcomes were identified from the birth record. We calculated risk ratios (RR) using log-linear regression clustered by mother. We examined outcomes grouped by IDD-type and explored interaction by race.

RESULTS

Of 177,691 women with live births, 1,032 (0.58%) had an IDD claim. Of 274,865 deliveries, 1,757 were to mothers with IDD (0.64%). Women with IDD were at greater risk for gestational diabetes (RR: 1.28, 95% CI: 1.0, 1.6), gestational hypertension (RR: 1.22, 95% CI: 1.0, 1.5), and caesarean delivery (RR 1.32, 95% CI: 1.2, 1.4) compared to other women. Adjustment for demographic covariates did not change estimates. Women with intellectual disability were at highest risk of gestational hypertension. Black women with IDD were at higher risk of gestational hypertension than expected under a multiplicative model.

CONCLUSIONS

Women with IDD have increased risk of pregnancy complications and adverse outcomes in Wisconsin Medicaid. Results were robust to adjustment. Unique patterns by IDD types and Black race warrant further exploration.

Service deserts and service oases: Utilizing geographic information systems to evaluate service availability for individuals with autism spectrum disorder

LAY ABSTRACT

Autism spectrum disorder and co-occurring symptoms often require lifelong services. However, access to autism spectrum disorder services is hindered by a lack of available autism spectrum disorder providers. We utilized geographic information systems methods to map autism spectrum disorder provider locations in Michigan. We hypothesized that (1) fewer providers would be located in less versus more populated areas; (2) neighborhoods with low versus high socioeconomic status would have fewer autism spectrum disorder providers; and (3) an interaction would be found between population and socioeconomic status such that neighborhoods with low socioeconomic status and high population would have few available autism spectrum disorder providers. We compiled a list of autism spectrum disorder providers in Michigan, geocoded the location of providers, and used network analysis to assess autism spectrum disorder service availability in relation to population distribution, socioeconomic disadvantage, urbanicity, and immobility. Individuals in rural neighborhoods had fewer available autism spectrum disorder providers than individuals in suburban and urban neighborhoods. In addition, neighborhoods with greater socioeconomic status disadvantage had fewer autism spectrum disorder providers available. Finally, wealthier suburbs had good provider availability while few providers were available in poorer, urban neighborhoods. Knowing autism spectrum disorder providers' availability, and neighborhoods that are particularly poorly serviced, presents the opportunity to utilize evidence-based dissemination and implementation strategies that promote increased autism spectrum disorder providers for underserved individuals.