Research in autismPub Date : 2025-06-01Epub Date: 2025-04-02DOI: 10.1016/j.reia.2025.202582
Jessica E Rast, Joseph Wright, Samuelle Voltaire, Tamara Garfield, Anne M Roux
{"title":"Mental health hospitalization and readmission in autistic adults in a national U.S. sample.","authors":"Jessica E Rast, Joseph Wright, Samuelle Voltaire, Tamara Garfield, Anne M Roux","doi":"10.1016/j.reia.2025.202582","DOIUrl":"10.1016/j.reia.2025.202582","url":null,"abstract":"<p><strong>Objective: </strong>The objectives of this study were to, 1) estimate U.S. national rates of mental health hospitalization (MHH) and all-cause readmission, and 2) explore characteristics associated with readmissions for autistic and non-autistic adults.</p><p><strong>Methods: </strong>This study used the National Readmission Database (NRD) 2019 to examine 30-day all-cause readmissions following MHH in adults with autism, intellectual disability, ADHD, and mental health conditions. Analysis estimated rates of MHH by group, rates and odds of readmission, and factors associated with readmission.</p><p><strong>Results: </strong>More than one-third (36 %) of all admissions for autistic adults in 2019 were MHH, with schizophrenia the most common reason. Of all MHH index events in autistic adults, 17 % had a 30-day all-cause readmission. Readmissions were more common in autistic adults with ID (25 %) than in autistic adults without ID (15 %). Readmission was also slightly more common in female autistic adults (20 %) than male autistic adults (16 %), and autistic females had greater odds of readmission (OR 1.30, 95 % CI 1.09, 1.55) than autistic males, which was not true in non-autistic adults. Initial admission for schizophrenia was associated with increased odds of readmission for all groups (OR 1.37, 95 % CI 1.32, 1.42).</p><p><strong>Conclusions: </strong>The complexity of mental health conditions and their care in autistic adults underscores the urgent need for accessible and tailored mental health care services. Addressing these challenges will require collaborative efforts across healthcare sectors to create comprehensive, inclusive, and person-centered approaches to mental health care delivery for autistic adults across often disjointed service sectors.</p>","PeriodicalId":520959,"journal":{"name":"Research in autism","volume":"124 ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2025-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12777935/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145937408","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Research in autismPub Date : 2025-05-01Epub Date: 2025-03-22DOI: 10.1016/j.reia.2025.202575
Aaliyah W Saunders, Sarah Langdon, Angela Paxton, Rebecca McNally Keehn, Brandon Keehn
{"title":"Brief Report: Service Referral and Enrollment Following Autism Diagnosis in Primary Care.","authors":"Aaliyah W Saunders, Sarah Langdon, Angela Paxton, Rebecca McNally Keehn, Brandon Keehn","doi":"10.1016/j.reia.2025.202575","DOIUrl":"10.1016/j.reia.2025.202575","url":null,"abstract":"<p><strong>Background: </strong>Lag between autism diagnostic evaluation and initiation of intervention results in missed opportunities during a developmental window of optimal impact. However, few studies have examined the rate of referral for early intensive behavioral interventions (EIBI) at the point of diagnosis and the period between diagnosis and entry into EIBI. The current study examines both referral for EIBI at the time of diagnosis and enrollment in EIBI 12-months post-diagnosis.</p><p><strong>Method: </strong>Participants included 76, 14- to 48-month-old children diagnosed with autism in the primary care setting. Caregivers completed a brief questionnaire on EIBI referral and enrollment following evaluation and again 12-months later.</p><p><strong>Results: </strong>More than 80% of children were referred for EIBI at the time of diagnosis. At 12-months post-diagnosis, however, only 50% of children were enrolled in EIBI. For those enrolled in EIBI lag between diagnosis and enrollment was almost 7 months (M=201 days; SD=122.7; range=8-414 days). While race/ethnicity, SES, and urbanicity were not associated with lag, lower caregiver education level was associated with enrollment status and lag for those receiving EIBI.</p><p><strong>Conclusions: </strong>There is a significant delay access to EIBI for young children diagnosed with autism. Navigating service referral and access may be particularly challenging for caregivers with limited education backgrounds.</p>","PeriodicalId":520959,"journal":{"name":"Research in autism","volume":"133 ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2025-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13559718/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148932304","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}