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Kristy Fan; Tyler J. Fisher; Andrew A. Samwick – Education Finance and Policy, 2025
Prior studies of means-testing in college financial aid formulas have analyzed the disincentives to save attributable to the inclusion of assets in the formulas. Such disincentives are only half of a standard incentives--insurance trade-off. When income is uncertain, a financial aid formula that conditions aid on assets and income provides…
Descriptors: Insurance, Student Financial Aid, College Students, Income
Kali Defever; Becky Reimer; Michael Trierweiler; Elise Comperchio – Field Methods, 2024
Estimating prescription medicine use is challenging due to recall bias associated with surveys and coverage bias in administrative data. This study assesses how making operational improvements and combining both survey and administrative data sources can increase data quality on filled prescriptions. We use data from the Medicare Current…
Descriptors: Drug Therapy, Health Insurance, Databases, Medicine
Sidhya Balakrishnan; Eric Bettinger; Michael S. Kofoed; Dubravka Ritter; Douglas A. Webber; Ege Aksu; Jonathan S. Hartley – National Bureau of Economic Research, 2024
We conduct a survey-based experiment with 2,776 students at a non-profit university to analyze income insurance demand in education financing. We offered students a hypothetical choice: either a federal loan with income-driven repayment or an income-share agreement (ISA), with randomized framing of downside protections. Emphasizing income…
Descriptors: College Students, Insurance, Student Loan Programs, Loan Repayment
Daniel Gilmore; Brittany N. Hand – Autism: The International Journal of Research and Practice, 2024
Diabetes mellitus is a challenging chronic health condition at the forefront of attention of the healthcare system. Important estimates quantifying how diabetes prevalence varies by age are available for the general population, but these estimates are poorly characterized among autistic adults. Improved diabetes prevalence and likelihood estimates…
Descriptors: Diabetes, Health Insurance, Adults, Autism Spectrum Disorders
Echo L. Warner; Giselle K. Perez; Austin R. Waters; Karely M. van Thiel Berghuijs; Perla Vaca Lopez; Allyson Foor; Nicole Ray; Karen Donelan; Karen A. Kuhlthau; Anne C. Kirchhoff; Elyse R. Park – Health Education & Behavior, 2025
Adapting interventions to new contexts requires consideration of the needs, norms, and delivery structures of the new setting. We describe how we followed the ORBIT model of intervention development to create Health Insurance Navigation Tools (HINT), a health insurance patient navigation intervention for childhood cancer survivors. By engaging…
Descriptors: Health Insurance, Cancer, Child Health, Intervention
Robert Mendola – Journal of American College Health, 2024
The demand for mental health treatment on university campuses continues to increase. This report will outline sources of increased demand and how traditional campus-based models have managed it. It will then describe the University of Southern California's work mobilizing resources to develop a unique model for insurance based long-term care…
Descriptors: Mental Health, School Health Services, Health Insurance, Resources
Luke P. Grosvenor; Ryan J. Cohen; Nancy P. Gordon; Maria L. Massolo; Hilda J. Cerros; Cathleen K. Yoshida; Jennifer L. Ames; Lisa A. Croen – Journal of Autism and Developmental Disorders, 2025
Purpose: To understand the ways in which autistic Latinx children experience disparities in diagnosis, healthcare, and receipt of specialty services. Methods: 417 individuals who identified as Latinx caregivers of autistic children who were members of the same integrated healthcare system in Northern California were surveyed. Responses were…
Descriptors: Hispanic Americans, Children, Access to Health Care, Health Insurance
Mishka S. Peart; Alice F. Cartwright; Ananya Tadikonda; Ushma D. Upadhyay; Jennifer H. Tang; Jessica E. Morse; Gretchen S. Stuart; Amy G. Bryant – Journal of American College Health, 2025
Objective: To estimate demand for medication abortion (MAB) among North Carolina (NC) college students and describe access to nearest clinics offering MAB to each campus. Methods: We calculated demand using 2019-2020 campus demographics and NC abortion statistics. We used a mystery client technique to gather MAB cost and appointment wait times at…
Descriptors: College Students, Access to Health Care, Pregnancy, Costs
Olivia J. Lindly; Danielle Abate; Plyce L. Fuchu; Jocelyn L. Kuhn; Purnima S. Mudnal Bharath; Sarah M. Asantewaa; Emily Feinberg; Sarabeth Broder-Fingert – Autism: The International Journal of Research and Practice, 2025
Autism diagnosis before age three to expedite access to critical services is a public health priority in the United States. Still, the average age of autism diagnosis is 49 months with substantial variability across states. By examining policy--defined as laws, regulations, procedures, administrative actions, incentives, or voluntary practices of…
Descriptors: State Policy, Clinical Diagnosis, Autism Spectrum Disorders, Disability Identification
Joseph L. Fleming – ProQuest LLC, 2024
This study focused on the impact of socioeconomic status through the experiences of telecommute workers from a healthcare insurance provider. The aim of the study is to analyze the influence these factors impose on personal growth in the job role of a telecommuting worker through the eyes of Texas telecommute workers in the healthcare industry.…
Descriptors: Socioeconomic Status, Teleworking, Health Insurance, Learning Theories
Dodini, Samuel – Journal of Policy Analysis and Management, 2023
This paper measures the effects of subsidies in the Affordable Care Act on adverse financial outcomes using administrative tax data and credit data on financial outcomes. Using a difference-in-differences design with propensity score reweighting, I find that at $100 per capita, ACA premium tax credits and cost-sharing reduction subsidies reduced…
Descriptors: Health Insurance, Federal Legislation, Federal Aid, Financial Support
Porter, Cody Normitta; Taylor, Rachel; Harvey, Adam Charles – Applied Cognitive Psychology, 2022
This study investigates the Asymmetric Information Management (AIM) technique's ability to detect fraudulent insurance claims submitted online. The AIM instructions inform claimants that, inter alia, more detailed statements are easier to accurately classify as genuine or fabricated. To test this, truth tellers (n = 55) provided an honest…
Descriptors: Information Management, Identification, Deception, Insurance
Amber Davis; Kathryn Van Eck; Nikeea Copeland-Linder; Karen Phuong; Harolyn M.E. Belcher – Journal of Autism and Developmental Disorders, 2024
Autism spectrum disorder (ASD) is a neuropsychiatric condition that may be associated with negative health outcomes. This retrospective cohort study reveals the odds of hospitalization and mortality based on ASD for a population of insured patients with COVID-19. The odds of hospitalization and mortality for people with ASD were found to be…
Descriptors: Hospitals, Autism Spectrum Disorders, Risk, COVID-19
Nicole Maestas; Tisamarie B. Sherry; Alexander Strand – Journal of Disability Policy Studies, 2024
Opioid use is common among Social Security Disability Insurance (SSDI) beneficiaries, who account for a disproportionate share of opioid-related hospitalizations and mortality in the United States. However, little is known about the prevalence of opioid use prior to SSDI enrollment. Understanding when opioid use is established and how it…
Descriptors: Drug Use, Narcotics, Welfare Services, Insurance
Ana Carolina Florence; Reilly Mulcahy; Jennifer L. McLaren; Glyn Elwyn; Aaron Rock; Phillip D. Rumrill; Timothy Michael Mulcahy; Franco Mascayano; Othal Smith III; Sarah Swanson; Robert E. Drake – Rehabilitation Research, Policy, and Education, 2025
Background: Autism typically begins in childhood and affects over five million adults across the United States. Although most adults with autism would like to work, only about one-fourth are employed, and only 1% of working-age adults with autism receive employment services paid for by Vocational Rehabilitation or Medicaid. Individual Placement…
Descriptors: Adults, Placement, Autism Spectrum Disorders, Vocational Rehabilitation

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