TY - JOUR
T1 - Objective Estimates of Direct-Medical Costs Among Persons Aged 3 to 38 Years With and Without Research-Defined Autism Spectrum Disorder Ascertained During Childhood
T2 - A Population-Based Birth-Cohort Study
AU - Leibson, Cynthia
AU - Weaver, Amy
AU - Myers, Scott
AU - Long, Kirsten
AU - Ransom, Jeanine
AU - Voigt, Robert
AU - Katusic, Slavica
N1 - Funding Information:
The authors wish to acknowledge Dr Leonard T. Kurland (deceased) for his vision in initiating the Rochester Epidemiology Project and Dr Robert C. Colligan (deceased) for his insight, enthusiasm, and collegiality across his 47 years of research in developmental disabilities at the Mayo Clinic. We thank Dr Ruth Stoeckel for her expert input with establishing ASD research criteria and study coordinators Ms Candice Klein, Mr Thomas Bitz, and other members of the team for their outstanding contributions to data collection. We are most appreciative of the guidance provided by Dr Sue Visscher and members of the Rochester Epidemiology Project Cost and Utilization Committee. We are thankful to independent school district 535 for their long-standing cooperation and collaboration. This study was funded by a National Institutes of Health, Public Health Service research grant (award MH093522) and was made possible by the Rochester Epidemiology Project (, National Institutes of HealthNational Institute on Aging, award RO1 AG034676). Beyond grant funding from the National Institutes of Health, the authors have no direct or indirect financial disclosures to report.
Funding Information:
The authors wish to acknowledge Dr Leonard T. Kurland (deceased) for his vision in initiating the Rochester Epidemiology Project and Dr Robert C. Colligan (deceased) for his insight, enthusiasm, and collegiality across his 47 years of research in developmental disabilities at the Mayo Clinic. We thank Dr Ruth Stoeckel for her expert input with establishing ASD research criteria and study coordinators Ms Candice Klein, Mr Thomas Bitz, and other members of the team for their outstanding contributions to data collection. We are most appreciative of the guidance provided by Dr Sue Visscher and members of the Rochester Epidemiology Project Cost and Utilization Committee. We are thankful to independent school district 535 for their long-standing cooperation and collaboration. This study was funded by a National Institutes of Health, Public Health Service research grant (award MH093522) and was made possible by the Rochester Epidemiology Project (, National Institutes of Health National Institute on Aging , award RO1 AG034676). Beyond grant funding from the National Institutes of Health, the authors have no direct or indirect financial disclosures to report.
Publisher Copyright:
© 2020 ISPOR–The Professional Society for Health Economics and Outcomes Research
PY - 2020/5
Y1 - 2020/5
N2 - Objectives: Accurate estimates of autism spectrum disorder (ASD)–associated medical costs are essential for predicting future care needs, allocating resources, identifying best practices, and modeling cost-effectiveness. Most existing studies have either employed subjective cost data or ascertained ASD using self-reported or International Classification of Diseases–coded diagnoses. Such ascertainment is especially problematic for identifying milder ASD among older individuals never diagnosed with ASD. Methods: This 1976 through 2000 population-based birth-cohort study was set in Olmsted County, Minnesota. ASD cases and age- and sex-matched unaffected controls were identified by applying uniform operational research criteria for ASD (using the guidelines of the Diagnostic and Statistical Manual of Mental Disorders, fourth edition, text revision) after rigorous review of provider-linked medical and public, private, or home school records available for all members from birth to a maximum age of 21 years. Medical cost estimates for the 901 case-control pairs used line-item provider-linked billing data (including all payers) from 2003 through 2014 (ages 3-38 years). Outpatient pharmaceutical costs were unavailable. Temporal changes in diagnostic criteria, clinical practice, public awareness, and access were addressed by separating analyses into 5-year age group and 4-year calendar period cells. Unadjusted and adjusted (age and age plus co-occurring conditions) cost estimates were provided for cases, controls, and case-control differences. Additional factors (co-occurring conditions, percentage hospitalized, intellectual disability) were investigated using unadjusted descriptive analyses. Results: Cell sample sizes ranged from 93 to 402 for age groups 3 through 19 years and from 45 to 395 for age groups 20 through 38 years. Unadjusted, age-adjusted, and fully adjusted medical costs were significantly higher for cases versus controls in 100% of cells for age groups 3 through 19 years and in 50% (unadjusted), 38% (age adjusted), and 12% (fully adjusted) of cells for age groups 20 through 38 years. Conclusions: These unique estimates can help inform the construction of cost-effectiveness models; decisions by payers, providers, and policy makers; and predictions of lifetime costs.
AB - Objectives: Accurate estimates of autism spectrum disorder (ASD)–associated medical costs are essential for predicting future care needs, allocating resources, identifying best practices, and modeling cost-effectiveness. Most existing studies have either employed subjective cost data or ascertained ASD using self-reported or International Classification of Diseases–coded diagnoses. Such ascertainment is especially problematic for identifying milder ASD among older individuals never diagnosed with ASD. Methods: This 1976 through 2000 population-based birth-cohort study was set in Olmsted County, Minnesota. ASD cases and age- and sex-matched unaffected controls were identified by applying uniform operational research criteria for ASD (using the guidelines of the Diagnostic and Statistical Manual of Mental Disorders, fourth edition, text revision) after rigorous review of provider-linked medical and public, private, or home school records available for all members from birth to a maximum age of 21 years. Medical cost estimates for the 901 case-control pairs used line-item provider-linked billing data (including all payers) from 2003 through 2014 (ages 3-38 years). Outpatient pharmaceutical costs were unavailable. Temporal changes in diagnostic criteria, clinical practice, public awareness, and access were addressed by separating analyses into 5-year age group and 4-year calendar period cells. Unadjusted and adjusted (age and age plus co-occurring conditions) cost estimates were provided for cases, controls, and case-control differences. Additional factors (co-occurring conditions, percentage hospitalized, intellectual disability) were investigated using unadjusted descriptive analyses. Results: Cell sample sizes ranged from 93 to 402 for age groups 3 through 19 years and from 45 to 395 for age groups 20 through 38 years. Unadjusted, age-adjusted, and fully adjusted medical costs were significantly higher for cases versus controls in 100% of cells for age groups 3 through 19 years and in 50% (unadjusted), 38% (age adjusted), and 12% (fully adjusted) of cells for age groups 20 through 38 years. Conclusions: These unique estimates can help inform the construction of cost-effectiveness models; decisions by payers, providers, and policy makers; and predictions of lifetime costs.
KW - adult
KW - autism spectrum disorder
KW - childhood
KW - comorbidity
KW - economic
KW - epidemiology
KW - medical costs
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U2 - 10.1016/j.jval.2019.12.006
DO - 10.1016/j.jval.2019.12.006
M3 - Article
C2 - 32389225
AN - SCOPUS:85080083370
SN - 1098-3015
VL - 23
SP - 595
EP - 605
JO - Value in Health
JF - Value in Health
IS - 5
ER -