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Contributing factors to healthcare costs in individuals with autism spectrum disorder: a systematic review



Individuals with autism spectrum disorder (ASD) are more likely to use healthcare than their counterparts without disabilities, which imposes high medical costs to families and health systems. This study aimed to investigate healthcare costs and its determinants among individuals with ASD.


In this systematic review, we searched online databases (Web of Science, Medline through PubMed and Scopus) for observational and experimental studies that included data on service use and costs associated with ASD and published between January 2000 and May 2021. Exclusion criteria included non-English language articles, duplicates, abstracts, qualitative studies, gray literature, and non-original papers (e.g., letters to editors, editorials, reviews, etc.).


Our searches yielded 4015 articles screened according to PRISMA guidelines. Of 4015 studies identified, 37 articles from 10 countries were eligible for final inclusion. Therapeutic interventions, outpatient visits and medications constituted the largest proportion of direct medical expenditure on individuals with ASD. Included studies suggest lack of health insurance, having associated morbidities, more severe symptoms, younger age groups and lower socioeconomic status (SES) are associated with higher medical expenditure in individuals with ASD.


This systematic review identified a range of factors, including lower SES and lack of health insurance, which are associated with higher healthcare costs in people with ASD. Our study supports the formulation of policy options to reduce financial risks in families of individuals with ASD in countries which do not have a tax-based or universal health coverage system.

Peer Review reports


Autism spectrum disorder (ASD) is a neurodevelopmental disorder that affects social abilities, communication skills and behavioral patterns among people with ASD [1]. This disorder occurs in all racial, ethnic and socioeconomic groups and its prevalence has grown rapidly in the last few decades [2]. According to the Centers for Disease Control and Prevention, about 1 in 54 children have been diagnosed with ASD [3]. Some studies have reported the prevalence of ASD to be approximately 1–2% in Asia, Europe and North America [4].

Individuals with ASD require behavioral interventions and specialty health services to improve social interactions, communication skills and daily functioning. Evidence suggests that individuals with ASD are more likely to have higher rates of utilization of both acute care (e.g. hospitalization and emergency department visits) and specialty care (e.g. psychiatric and neurology visits) than their counterparts without ASD [5, 6]. For example, Croen and colleagues found that children with ASD experienced a higher percentage of inpatient (3% vs 1%) and outpatient (5% vs 2%) hospitalizations compared to children without ASDs [7]. In addition, people with ASDs tend to use more psychotherapeutic medications than people without ASDs that impose considerable costs on families and health systems [8, 9].

Studies show a strong relationship between co-occurring conditions and healthcare cost among individuals with ASD. Of these, mental health problems have a major effect on medical care costs. Peacock et al. found that children with ASD and intellectual disability incurred expenditures 2.7 times higher than children with ASD and no co-occurring condition [10]. Similarly, a study by Zerbo et al. indicated that adults with ASD had a significantly higher mean number of visits for mental health (43.3% vs 5.4%) and speech therapy (0.8% vs 0.07%) compared with the general population [11].

The economic burden associated with ASD has been investigated in various studies. Studies have reported higher healthcare costs among individuals with ASD compared to the general population. For example, a study by Lavelle et al. indicated that annual costs of healthcare among children with ASDs were more than four times higher (14,061 USD vs 3020 USD) than those without ASDs [12]. Higher utilization of healthcare among individuals with ASDs may additionally impose higher direct costs on families, particularly in countries where out of pocket payment (OPP) for health services is common, and higher indirect costs, as a result of lost or disrupted employment for individuals and their parents/carers. We should note that healthcare is only one element of costs relevant to people with an ASD; other relevant costs include day care, respite care and education, including specialist education [13].

Some factors, such as age, place of residence, the level of disability, and associated comorbidities, can intensify the economic burden carried by individuals with ASDs. For example, Knapp et al. in the UK, found that lifetime costs are substantially higher for individuals with both ASD and intellectual disability than for those with ASD alone (£1.23 million vs £0.80 million) [13]. Similarly, Horlin et al. in Australia, noted that each additional symptom adds around 1400 USD per annum to the cost of an individual with ASD [14]. Timing of diagnosis also influences cost, with studies demonstrating that delayed diagnosis and access to specialty healthcare can increase associated comorbidities in people with disabilities which consequently leads to higher healthcare costs [15,16,17].

Overall, the consequences of ASD can potentially affect employment, family relationships, standards of living, social interactions, personal functioning, and quality of life for individuals and their families. In this systematic review, we aimed to identify factors associated with healthcare costs among individuals with ASD. Total costs associated with ASD can vary between individuals and between countries, as a result of a number of different factors. However, identification and quantification of the healthcare, and other, costs associated with ASD can provide a comprehensive picture of the financial impact on families and health systems and can help to identify factors affecting those costs, which may be amenable to change or policy intervention. To ensure appropriate planning of the afore-mentioned services and allocation of resources, it is essential to identify the major contributors to healthcare costs among individuals with ASD. Therefore, the present study aimed to identify determinants of healthcare costs among individuals with ASD.


Search strategy

Our study was a systematic review that adheres to the PRISMA guidelines [18]. Three online bibliographic databases were used to search English language articles from January 1, 2000 to May 31, 2021: Web of Science, Medline through PubMed and Scopus. Two main foci were used to search for studies: (1) autism; and (2) cost; we used a combination of keywords to search for studies meeting our inclusion criteria and the search strategy is shown in Table 1. In addition, we searched the references of all included studies to identify additional studies.

Table 1 Search strategy in the included databases

We included observational (cross-sectional studies, case-control studies, and cohort studies) and experimental (randomized control trial, quasi experimental) studies. As shown in Table 2, inclusion criteria were defined according to the Patient, Intervention, Comparator, Outcome, Study design (PICOS) framework. Our primary outcomes were factors associated with healthcare costs in individuals with ASD. In health economics, healthcare costs are categorized into direct and indirect costs. Direct costs are defined as those costs that are directly attributable to an illness or disorder, including direct medical costs (the cost of healthcare interventions) and direct non-medical costs (additional costs as a result of accessing healthcare interventions, such as accommodation, meals, and transportation costs) [19]. Indirect costs are costs (or ‘losses’) incurred due to the cessation of or reduction in work productivity as a result of the morbidity associated with an ASD [20]. In this study, total costs were the sum of direct and indirect costs.

Table 2 PICOS inclusion criteria

Inclusion criteria

  1. 1.

    Individuals with ASD

  2. 2.

    Studies reporting healthcare costs for individuals with ASD

  3. 3.

    Observational studies (cross-sectional studies, case-control studies, and cohort studies) or experimental studies (randomized control trial, quasi experimental) Published in English between January 1, 2000 and May 31, 2021

  4. 4.

    Full-text articles

Exclusion criteria

  1. 1.

    Published before January 1, 2000 and after May 31, 2021

  2. 2.

    Qualitative research, case studies, and literature reviews (e.g. scoping and systematic reviews)

  3. 3.

    Abstracts, editorials, letter to editor, and comments

  4. 4.

    Protocols and method papers

  5. 5.

    Grey literature (e.g. books, conference abstracts, theses, research reports, policy documents)

  6. 6.

    Non-English language studies

Data analysis

We developed a data extraction form to extract information such as authors, year, country, study design, study sample, costs, study perspective (for example: patient, healthcare sector, payer, societal or institutional perspective [21]), and patient characteristics hypothesized to be determinants of healthcare costs (for example, co-morbidities, severity of illness, age, health insurance status, socioeconomic status) from the included studies. Three main steps of title screening, abstract screening and full-text screening were performed to select the included studies. At the first step of title screening, we searched titles using the keywords outlined in Table 1 and then removed duplicate records. At the abstract screening stage, two authors independently checked the titles and abstracts for relevance (AK and MS), removed those clearly meeting exclusion criteria and retained all potentially relevant abstracts for full-text review. Full-text papers were similarly screened independently by two authors to ensure they met the inclusion criteria and did not meet the exclusion criteria (AK and MS). Data were extracted from all included studies using a pre-specified checklist of key study items. The corresponding author checked the accuracy of the data by comparing and adapting the extracted data with the information contained in the included articles. All disagreements were resolved by consensus after discussion. Where the full-text of papers could not be accessed, corresponding authors were contacted by email to request access. We used EndNote X9.3 to screen the papers and extract data.

Regarding the design of the included studies, we applied JBI Critical Appraisal Checklists for cross sectional studies and cohort studies to assess the quality of the studies included in the review [22]. Quality assessment was carried out by two authors independently (AK and MS).


The process of study selection is shown in Fig. 1. In total, our search yielded 4015 papers (including manual searching of reference lists of included papers). In the first step of screening (title screening), 3218 articles were excluded because of language (not English), date of publication outside the dates of interest or because they were duplicates. In the second step of screening (abstract screening), 756 articles were excluded from the study because of study design (qualitative studies or an excluded design), participants (not ASD), type of article (letter to the editor, editorial and review), or for not reporting heath care costs. In the final step (full text screening), a further 4 articles were excluded because of lack of access to the full text or low quality score. Thus 37 articles met criteria for inclusion.

Fig. 1
figure 1

The process of systematic review of the literature

The 37 included studies, which are summarized in Table 3, were carried out in 10 countries: the United states of America (USA; n = 21), the United Kingdom (UK; n = 6); both USA and UK (n = 1),Taiwan (n = 2), Ireland (n = 1), Germany (n = 1), Israel (n = 1), China (n = 1), Australia (n = 1), Oman (n = 1), and South Korea (n = 1). The age of participants ranged between 1 and 89 years and the majority of studies focused on ASD or ASD with and without intellectual disability.

Table 3 Study characteristics

Direct healthcare costs

Included costs varied between studies, as illustrated in Table 3. Focusing on direct healthcare costs only, a number of studies reported that rehabilitation and psychological therapies constitute the greatest proportion of total healthcare-related expenditure for individuals with ASD. In the study by Wang et al., carried out in the USA, the highest percentage of healthcare expenditures was devoted to behavioral therapies (54.3%), followed by transportation and accommodation (18.4%), outpatient care (15.9%), and medication (8.2%) [54]. Similarly, Ganz et al., in the USA, estimated that behavioral therapies were the largest part of lifetime per capita direct medical expenditures (206,337 USD) of which was highest for children aged 3–7 years [55]. Mosadeghrad et al. also reported that rehabilitation services comprised the largest component (70%) of the annual ASD direct medical costs in their study conducted in Iran [56].

Outpatient and community-based services, such as physician appointments, were more commonly used than inpatient care and thus these services would impose a high economic burden on families of individuals with ASD in countries where such services are paid out of pocket. The study by Barrett et al. (2012), in the UK, reported a higher proportion of the included sample utilizing outpatient and community-based appointments, with 60, 57 and 48% of children with ASD having at least one contact with community pediatricians, general practitioners, and health visitors (nurses or midwives who have undertaken additional training in community public health nursing), respectively, over a 6 month period, compared to 10% of participants reporting an inpatient episode of care [33]. Similarly, the findings of Vohra et al., in the USA, indicated that following prescription drugs, outpatient visits were the second major contributor to healthcare expenditure [46].

The included studies suggest that prescription drugs make a major contribution to expenditure for households. Mosadghrad et al., in Iran, for example, estimated the average annual direct medical costs of ASD? were approximately 2215 USD of which 16% consisted of medication, compared to 7 and 6.5% for outpatient and inpatient visits, respectively [56]. Similarly, Flanders et al., in the USA, estimated the mean annual healthcare costs of prescription medication at 827 USD per person, compared to 222 USD per person for inpatient services [26], whilst Vorha et al. found prescription drugs to be the largest contributor to healthcare expenditure [56].

Eight studies (24.24% of included studies) reported that inpatient services, equipment and emergency room visits constituted a smaller proportion of total healthcare costs compared to outpatient services. For example, a study by Thomas et al. (2014), in the USA, showed that inpatient services constitute only 0.5% of expenditure compared to outpatient services (27.7%) [39]. Young et al. (2009), in the USA, reported that only 5 and 12.5% of individuals with ASD with public and private insurance coverage had used inpatient care but more than 70% of the participants had received rehabilitation services such as speech-language therapy and occupational therapy [31]. Of these, privately insured children unexpectedly had lower expenditure than those with public insurance. Additionally, in the study by Vohra and colleagues conducted in the USA, the mean annual cost of inpatient care constituted a lower proportion (10.99%) of total healthcare expenditure compared to outpatient visits (14.76%), prescription drug (20.47%), and emergency room visits (53.76%) [46].

Indirect costs

Indirect costs were commonly estimated in studies involving children and young people and were focused on lost productivity for parents and carers. Three studies (9.09% of included studies) showed that indirect costs constitute a greater proportion of total costs (direct + indirect) compared to healthcare expenditures in families of individuals with ASD. Accordingly, a study by Al-Farsi et al., in Oman, indicated a higher monthly indirect cost (924 USD; 8.92% of total costs) in contrast to direct healthcare expenditure (328 USD; 2.99% of total costs) [36]. In their study, the mean loss of income due to lost employment opportunity in middle-high income families (978 USD) was greater than low-income families (254 USD). Similarly, in the study by Horlin et al., in Australia, loss of income of parents and caregivers made a substantially larger contribution to the total cost of ASD per person (30,000 USD; 47%) compared to healthcare expenditure (4800 USD; 13.67%) [14]. They also reported that loss of income for the first income quartile (19,500 USD) was lower than the third income quartile (48,700 USD).

In contrast, Mosadeghrad et al., carried out in Iran, reported mean annual indirect costs due to productivity loss of 1118 USD, which was a smaller contribution to total expenditure (16%) compared to direct medical costs (32%) and direct non-medical costs (52%) [19]. In the study by Hong et al., carried out in South Korea, indirect costs for individuals with ASD in the age group of 20–29 years were lower than direct costs per capita (863 USD; 40.12% of total costs), but were higher than direct costs in older age groups [48].

Key determinants of healthcare costs among individuals with ASD

Table 4 summarises the major contributing factors to healthcare costs among individuals with ASD, and the direction of the relationship, as reported by included studies.

Table 4 Contributing factors to healthcare costs in individuals with ASD

Associated morbidities

In some included studies, associated morbidities were one of the significant contributors to total healthcare expenditures in children with ASD. Van Steensel et al., in the USA, estimated the cost of children with ASD and comorbid anxiety disorder were four times higher than anxiety disorder alone, and 27 times higher than typically developing children [37]. Similarly, Peacock et al., in the USA, found that co-occurring conditions such as intellectual disability, Attention Deficit/Hyperactivity Disorder (ADHD) and seizure disorders can increase the overall costs in children with ASD [10]. For example, they report that average annual expenditures for children with ASD without associated conditions was only 7200 USD per person compared with 19,190 USD for children with ASD and an intellectual disability.

Symptom severity

A number of included studies showed that increasing symptom severity was associated with increased costs. Raz et al., in Israel, suggests that individuals with a clinically more severe condition have a higher likelihood of very high costs (OR = 3.31; 95% CI 1.40–7.83) [38]. However, Van Steense et al., in the USA, found no significant relationship [37]. The findings of Horlin et al., in Australia, indicated that each additional symptom adds nearly 1400 USD per annum to the cost of ASD [14]. The authors also report that delay in diagnosis could lead to an increase in the number of ASD symptoms which in turn was associated with higher healthcare costs. Furthermore, a study by Barrett et al., in the UK, showed that fulfilling three functional domains concerning communication, social and repetitive impairments, cost an additional £125 per month, in comparison to children who met only two of the three criteria [33].

Health insurance

Some included studies found that families in receipt of public health insurance, such as Medicaid, were more likely to demonstrate lower out of pocket costs compared with those in receipt of private insurance. A study by Parish et al., in the USA, showed that the median annual out of pocket costs in low-income families of Medicaid–insured individuals with ASD was 7 USD, compared with 160 USD for low-income families with private insurance coverage [42].

Studies also suggest that a lack of insurance coverage increases the probability of high out of pocket expenditures [1, 2]. Thomas et al., in the USA, found that out of pocket expenditures were significantly different by type of insurance such that children covered by private insurance had higher odds of high out of pocket spending compared with their counterparts covered by Medicaid [43]. In their study, the annual out of pocket per person expenditure for Medicaid insured children was estimated to be 150 USD compared to 1335 USD for those with private insurance coverage. In contrast, they found that the mean annual expenditures paid by Medicaid (per person) (7088 USD) was higher than private insurance companies (3151 USD). Similarly, Barry at al., in the USA, who investigated the role of commercial insurance in out of pocket expenditures, found commercial insurance to be associated with a 3.4% increase in out of pocket expenditure on health services and a 77 USD increase in monthly costs for ASD-specific services compared with public insurance [44].


Seven studies showed a positive association and three studies indicated a negative association between age and healthcare costs among individuals with ASD. In adults, Zerbo et al., in the USA, found that the annual heath care cost in adults aged 50 years and older (12,000 USD) was higher than for the 18–25 age group (5000 USD) [9].

In younger populations, some studies showed that younger age groups were associated with higher costs than older age groups. For example, Barrett et al. (2015), in the UK, found that for every one-year increase in age, total health, education and social care costs fell by £4917 among adolescents with autism and autism spectrum disorder aged between 14 and 17 [40]. Similarly, Shimabukuro et al., in the USA, reported that children with ASD in the age group 1–4 years had a higher mean annual cost (8040 USD) compared with older age groups [30]. In contrast, Barrett et al. (2012), in the UK, in another study focused on very young children with autism aged between 2 and 4 years, estimated that young children in higher ages (45–60 months) were likely to use more resources than those in lower ages (24–45 months) [33]. Their study showed that for every 1 month increase in age, healthcare costs increased by £7 per month.

Socioeconomic status

Included studies suggest that households with higher socioeconomic status (SES) were more likely to pay out of pocket for healthcare in comparison to those with lower SES. For instance, Raz et al., in Israel, and Thomas et al., in the USA, reported that higher parental education and higher household income were associated with higher out of pocket expenditure in families of children with ASD [38, 39]. On the other hand, Parish et al., in the USA, cited that in middle and upper-income households, the financial strain was considerably higher for privately insured individuals compared to those with public insurance [42].


This systematic review aimed to identify factors contributing to healthcare costs among individuals with ASD. Our findings showed that therapy services, outpatient visits, and medications made the largest contributions to total direct healthcare costs of ASD compared to inpatient care in the included studies, suggesting ASD is primarily managed in the community. Studies show that individuals with ASD are more likely to use therapy services (such as behavioral, occupational and speech therapy) than those without ASD which in turn imposes high costs on families and health systems [10, 25].

Insurance coverage was an important factor influencing the use of services like psychological and rehabilitation therapies, which are known to be important for improving competencies and facilitating social and economic participation in individuals with intellectual disabilities [57]. For example, in countries like Iran, there is no insurance coverage for occupational and speech therapies and thus families of children with intellectual disabilities have to pay out of pocket, with rehabilitation services constituting over 70% of direct medical expenditure among children with ASD [58]. Similarly, behavioral therapies for individuals with ASD are not covered by the Chinese national health insurance program, which imposes a large economic burden on families [35]. There is, therefore, a need to consider public funding of such services in order to protect individuals with ASD and their families from catastrophic health expenditures in countries where such services are paid out of pocket [59, 60].

In countries with public insurance, such as the USA, included studies suggest that -children in receipt of public insurance had a lower out of pocket financial burden compared to uninsured and privately insured children [42]. Our review showed that public insurance can have a major role in protecting families, particularly those on low income, against high direct medical costs associated with ASD. It is important to note that some private insurance companies do cover the cost of therapeutic services for individual with ASD, but low-income families may be unable afford to purchase private coverage. In addition, private insurance companies tend to shift healthcare costs to patients through high copayments or deductibles which in turn increases out of pocket expenses for patients and their families [61] and increases the risk that families cannot afford to purchase insurance.

Included studies showed that outpatient visits and medications constituted a major share of direct medical costs among individuals with ASD [9, 25, 29]. Literature indicates individuals with ASD have higher rates of poorer physical and mental health conditions than their counterparts without ASD which require further healthcare utilization to address these problems [5]. The present review showed that associated comorbidities predict higher healthcare costs [10, 12, 27]. For example, Zebro et al. in the USA, showed that people with ASD had significantly higher utilization of outpatient visits for primary care (74.2% vs. 66.6%), mental health (43.3% vs. 33.2%), and laboratory services (60.9% vs. 54.4%) compared to peers with ADHD [11].

The impact of age on healthcare costs was conflicting, with some suggesting a positive association and others suggesting a negative association. For adults, older age was associated with higher costs. However, the opposite was true in some studies focused on children and young people, with evidence that younger ages are associated with higher physician visits, prescription medication and related costs among individuals with ASD [27, 38, 40, 44].

Whilst the focus of the current paper was on healthcare costs, some included studies took a broader perspective and investigated societal costs among individuals with ASD [27, 37, 50]. In these studies, education made a larger contribution to total annual costs compared to healthcare. For example, the findings of Jarbrink et al., in the UK, showed that the contribution of local government services, schooling and community support comprised 78% of the total cost, while the cost for healthcare was marginal and accounted for less than 5% of the total societal cost [27]. The findings indicate that severe learning disabilities not only are associated with higher healthcare costs, but also with higher education costs (e.g. specialized schooling, transportation etc.) for children with ASD that should be taken into consideration by policy makers.

A number of included studies estimated indirect costs, in addition to direct healthcare costs, and these studies suggest that indirect costs constitute a major part of the total cost of individuals with ASD [14, 24, 33]. In particular, productivity losses (reduced productivity whilst at work or time off work due to illness or caring responsibilities) were found to constitute a substantial proportion of total societal costs, with one study reporting a contribution of almost 10% for productivity losses compared to 7% for out of pocket expenses (7.36%) [33]. Similarly, Al–Farsi et al., in Oman, estimated monthly income loss due to lost employment opportunity at 830 USD, which was higher than monthly out-of-pocket expenses per child (295 USD) [36]. The findings suggest that families spend a considerable amount of time seeking treatment and providing informal (unpaid) care for their family members with ASD. Family plays a central role in the treatment plan of children with ASD through encouraging collaboration, sharing information, reducing emotional distress, empowerment, and joint decision making [62, 63]. Some studies show that accompaniment by family members or parents helps to reduce anxiety and provide comfort in children with ASD [64]. Consequently, households commonly shift a major part of their resources (e.g., time and money) towards providing needed interventions for their children with ASD which subsequently may have a detrimental impact on the family finances, as employment, and thus household income, is reduced whilst healthcare expenditures increases. This suggests that the wellbeing of families’ with children with ASD, including quality of life, employment status, income, education, and physical and mental health, needs to be addressed by policy makers and researchers, alongside the wellbeing of people with ASD.


Our study faced some limitations. Firstly, we were not able to compare total healthcare costs and out of pocket expenses between included studies because of heterogeneity in the cost components included in each study. Second, healthcare delivery and financing schemes varied across the included studies, making it difficult to compare healthcare costs between countries. Third, we did not include grey literature and non-English language articles which may have affected the findings and the generalizability of the present study. Finally, we only included studies that reported individual costs per person; aggregate medical and non-medical costs for individuals with ASD should be investigated at local and/or national levels in future studies.


This systematic review showed that therapy services, outpatient visits and medications constituted a major share of total direct healthcare costs among individuals with ASD. Indirect costs were also considerable, being higher than direct healthcare costs in some studies. Key determinants of healthcare costs in the included studies were health insurance, associated morbidities, symptom severity, age and socioeconomic status. Our study supports the formulation of policy options to reduce financial risks in families of individuals with ASD.

Availability of data and materials

The dataset supporting the conclusions of this article is included within the article.



Autism spectrum disorder


Socioeconomic status


United Kingdom


United States of America


United States Dollar


Out of pocket payment


Patient, Intervention, Comparator, Outcome, Study design


Preferred Reporting Items for Systematic Reviews and Meta-Analyses


Not reported


  1. Association AP. Diagnostic and statistical manual of mental disorders (DSM-5®): American psychiatric pub; 2013.

    Book  Google Scholar 

  2. Newschaffer CJ, Croen LA, Daniels J, Giarelli E, Grether JK, Levy SE, et al. The epidemiology of autism spectrum disorders. Annu Rev Public Health. 2007;28:235–58.

    PubMed  Article  Google Scholar 

  3. The Centers for Disease Control and Prevention. [cited 2020 July 19]. Available from:

  4. Raina SK, Chander V, Bhardwaj AK, Kumar D, Sharma S, Kashyap V, et al. Prevalence of autism Spectrum disorder among rural, urban, and tribal children (1-10 years of age). J Neurosci Rural Pract. 2017;8(3):368–74.

    PubMed  PubMed Central  Article  Google Scholar 

  5. Cummings JR, Lynch FL, Rust KC, Coleman KJ, Madden JM, Owen-Smith AA, et al. Health services utilization among children with and without autism Spectrum disorders. J Autism Dev Disord. 2016;46(3):910–20.

    PubMed  PubMed Central  Article  Google Scholar 

  6. Weiss JA, Isaacs B, Diepstra H, Wilton AS, Brown HK, McGarry C, et al. Health concerns and health service utilization in a population cohort of Young adults with autism Spectrum disorder. J Autism Dev Disord. 2018;48(1):36–44.

    PubMed  Article  Google Scholar 

  7. Croen LA, Najjar DV, Ray GT, Lotspeich L, Bernal P. A comparison of health care utilization and costs of children with and without autism spectrum disorders in a large group-model health plan. Pediatrics. 2006;118(4):e1203–11.

    PubMed  Article  Google Scholar 

  8. Chasson GS, Harris GE, Neely WJ. Cost comparison of early intensive behavioral intervention and special education for children with autism. J Child Fam Stud. 2007;16(3):401–13.

    Article  Google Scholar 

  9. Buescher AVS, Cidav Z, Knapp M, Mandell DS. Costs of autism Spectrum disorders in the United Kingdom and the United States. JAMA Pediatr. 2014;168(8):721–8.

    PubMed  Article  Google Scholar 

  10. Peacock G, Amendah D, Ouyang L, Grosse SD. Autism spectrum disorders and health care expenditures: the effects of co-occurring conditions. J Dev Behav Pediatr. 2012;33(1):2–8.

    PubMed  Article  Google Scholar 

  11. Zerbo O, Qian Y, Ray T, Sidney S, Rich S, Massolo M, et al. Health care service utilization and cost among adults with autism spectrum disorders in a US integrated health care system. Autism in Adulthood. 2019;1(1):27–36.

    Article  Google Scholar 

  12. Lavelle TA, Weinstein MC, Newhouse JP, Munir K, Kuhlthau KA, Prosser LA. Economic burden of childhood autism spectrum disorders. Pediatrics. 2014;133(3):e520–9.

    PubMed  Article  Google Scholar 

  13. Knapp M, Romeo R, Beecham J. Economic cost of autism in the UK. Autism. 2009;13(3):317–36.

  14. Horlin C, Falkmer M, Parsons R, Albrecht MA, Falkmer T. The cost of autism Spectrum disorders. PLoS One. 2014;9(9):e106552.

    PubMed  PubMed Central  Article  CAS  Google Scholar 

  15. Soltani S, Takian A, Akbari Sari A, Majdzadeh R, Kamali M. Financial barriers to access to health Services for Adult People with disability in Iran: the challenges for universal health coverage. Iran J Public Health. 2019;48(3):508–15.

    PubMed  PubMed Central  Google Scholar 

  16. Smith KT, Monti D, Mir N, Peters E, Tipirneni R, Politi MC. Access Is Necessary but Not Sufficient: Factors Influencing Delay and Avoidance of Health Care Services. MDM Pol Pract. 2018;3(1):2381468318760298.

    Google Scholar 

  17. Taghaddosi M, Dianati M. Fath Gharib Bidgoli J, Bahonaran J. delay and its related factors in seeking treatment in patients with acute myocardial infarction. ARYA Atheroscler. 2010;6(1):35–41.

    PubMed  PubMed Central  Google Scholar 

  18. Page MJ, McKenzie JE, Bossuyt PM, Boutron I, Hoffmann TC, Mulrow CD, et al. The PRISMA 2020 statement: an updated guideline for reporting systematic reviews. BMJ (Clinical research ed). 2021;372:n71.

    Google Scholar 

  19. Boccuzzi SJ. Indirect health care costs. In: Weintraub WS, editor. Cardiovascular health care economics. Totowa: Humana Press; 2003. p. 63–79.

    Chapter  Google Scholar 

  20. Weintraub WS. Cardiovascular health care economics: Springer Science & Business Media; 2003.

    Book  Google Scholar 

  21. Tai B-WB, Bae YH, Le QA. A systematic review of health economic evaluation studies using the Patient’s perspective. Value Health. 2016;19(6):903–8.

    PubMed  Article  Google Scholar 

  22. JBI. Critical Appraisal Tools 2020 [cited 2022 March 22]. Available from:

  23. Järbrink K, Knapp M. The economic impact of autism in Britain. Autism. 2001;5(1):7–22.

    PubMed  Article  Google Scholar 

  24. Jarbrink K, Fombonne E, Knapp M. Measuring the parental, service and cost impacts of children with autistic spectrum disorder: a pilot study. J Autism Dev Disord. 2003;33(4):395–402.

    PubMed  Article  Google Scholar 

  25. Liptak GS, Stuart T, Auinger P. Health care utilization and expenditures for children with autism: data from U.S. national samples. J Autism Dev Disord. 2006;36(7):871–9.

    PubMed  Article  Google Scholar 

  26. Flanders SC, Engelhart L, Pandina GJ, McCracken JT. Direct health care costs for children with pervasive developmental disorders: 1996-2002. Adm Policy Ment Health Ment Health Serv Res. 2007;34(3):213–20.

    Article  Google Scholar 

  27. Järbrink K. The economic consequences of autistic spectrum disorder among children in a Swedish municipality. Autism. 2007;11(5):453–63.

    PubMed  Article  Google Scholar 

  28. Leslie DL, Martin A. Health care expenditures associated with autism spectrum disorders. Arch Pediatr Adolesc Med. 2007;161(4):350–5.

    PubMed  Article  Google Scholar 

  29. Sharpe DL, Baker DL. Financial issues associated with having a child with autism. J Fam Econ Iss. 2007;28(2):247–64.

    Article  Google Scholar 

  30. Shimabukuro TT, Grosse SD, Rice C. Medical expenditures for children with an autism spectrum disorder in a privately insured population. J Autism Dev Disord. 2008;38(3):546–52.

    PubMed  Article  Google Scholar 

  31. Young A, Ruble L, McGrew J. Public vs. private insurance: cost, use, accessibility, and outcomes of services for children with autism spectrum disorders. Res Autism Spectr Disord. 2009;3(4):1023–33.

    Article  Google Scholar 

  32. Wang L, Leslie DL. Health care expenditures for children with autism spectrum disorders in Medicaid. J Am Acad Child Adolesc Psychiatry. 2010;49(11):1165–71.

    PubMed  PubMed Central  Google Scholar 

  33. Barrett B, Byford S, Sharac J, Hudry K, Leadbitter K, Temple K, et al. Service and wider societal costs of very young children with autism in the UK. J Autism Dev Disord. 2012;42(5):797–804.

    PubMed  Article  Google Scholar 

  34. Parish SL, Thomas KC, Rose R, Kilany M, Shattuck PT. State Medicaid spending and financial burden of families raising children with autism. Intellectual Dev Disabil. 2012;50(6):441–51.

    Article  Google Scholar 

  35. Wang J, Zhou X, Xia W, Sun CH, Wu LJ, Wang JL, et al. Parent-reported health care expenditures associated with autism spectrum disorders in Heilongjiang province, China. BMC Health Serv Res. 2012;12:7.

    PubMed  PubMed Central  Article  Google Scholar 

  36. Al-Farsi YM, Waly MI, Al-Sharbati MM, Al-Shafaee M, Al-Farsi O, Al-Fahdi S, et al. Variation in socio-economic burden for caring of children with autism Spectrum disorder in Oman: caregiver perspectives. J Autism Dev Disord. 2013;43(5):1214–21.

    PubMed  Article  Google Scholar 

  37. Van Steensel FJA, Dirksen CD, Bögels SM. A cost of illness study of children with high-functioning autism spectrum disorders and comorbid anxiety disorders as compared to clinically anxious and typically developing children. J Autism Dev Disord. 2013;43(12):2878–90.

    PubMed  Article  Google Scholar 

  38. Raz R, Lerner-Geva L, Leon O, Chodick G, Gabis LV. A survey of out-of-pocket expenditures for children with autism spectrum disorder in Israel. J Autism Dev Disord. 2013;43(10):2295–302.

    PubMed  Article  Google Scholar 

  39. Thomas KC, Parish SL, Williams CS. Healthcare expenditures for autism during times of school transition: some vulnerable families fall behind. Matern Child Health J. 2014;18(8):1936–44.

    PubMed  Article  Google Scholar 

  40. Barrett B, Mosweu I, Jones CRG, Charman T, Baird G, Simonoff E, et al. Comparing service use and costs among adolescents with autism spectrum disorders, special needs and typical development. Autism. 2015;19(5):562–9.

    PubMed  Article  Google Scholar 

  41. Byford S, Cary M, Barrett B, Aldred CR, Charman T, Howlin P, et al. Cost-effectiveness analysis of a communication-focused therapy for pre-school children with autism: results from a randomised controlled trial. BMC Psychiatr. 2015;15:316.

    Article  CAS  Google Scholar 

  42. Parish SL, Thomas KC, Williams CS, Crossman MK. Autism and families' financial burden: the association with health insurance coverage. Am J Intellectual Dev Disabil. 2015;120(2):166–75.

    Article  Google Scholar 

  43. Thomas KC, Williams CS, DeJong N, Morrissey JP. Examination of parent insurance ratings, child expenditures, and financial burden among children with autism: a mismatch suggests new hypotheses to test. Pediatrics. 2016;137:S186–S95.

    PubMed  Article  Google Scholar 

  44. Barry CL, Epstein AJ, Marcus SC, Kennedy-Hendricks A, Candon MK, Xie M, et al. Effects of state insurance mandates on health care use and spending for autism spectrum disorder. Health Aff. 2017;36(10):1754–61.

    Article  Google Scholar 

  45. Chang KC, Wang LY, Wang JH, Shaw CK, Hwang MJ, Wu CH, et al. Dental utilization and expenditures by children and adolescents with autism spectrum disorders: A population-based cohort study. Ci ji yi xue za zhi = Tzu-chi Med J. 2018;30(1):15–9.

    Google Scholar 

  46. Vohra R, Madhavan S, Sambamoorthi U. Comorbidity prevalence, healthcare utilization, and expenditures of Medicaid enrolled adults with autism spectrum disorders. Autism. 2017;21(8):995–1009.

    PubMed  Article  Google Scholar 

  47. Candon MK, Barry CL, Marcus SC, Epstein AJ, Kennedy-Hendricks A, Xie M, et al. Insurance mandates and out-of-pocket spending for children with autism spectrum disorder. Pediatrics. 2019;143:1.

    Article  Google Scholar 

  48. Hong M, Lee SM, Park S, Yoon SJ, Kim YE, Oh IH. Prevalence and economic burden of autism Spectrum disorder in South Korea using National Health Insurance Data from 2008 to 2015. J Autism Dev Disord. 2020;50(1):333–9.

    PubMed  Article  Google Scholar 

  49. Li HJ, Chen CY, Tsai CH, Kuo CC, Chen KH, Chen KH, et al. Utilization and medical costs of outpatient rehabilitation among children with autism spectrum conditions in Taiwan. BMC Health Serv Res. 2019;19(1):354.

    PubMed  PubMed Central  Article  Google Scholar 

  50. Roddy A, O’Neill C. The economic costs and its predictors for childhood autism spectrum disorders in Ireland: how is the burden distributed? Autism. 2019;23(5):1106–18.

    PubMed  Article  Google Scholar 

  51. Zuvekas SH, Grosse SD, Lavelle TA, Maenner MJ, Dietz P, Ji X. Healthcare Costs of Pediatric Autism Spectrum Disorder in the United States, 2003-2015. J Autism Dev Disord. 2021;51(8):2950–8.

  52. Höfer J, Hoffmann F, Dörks M, Kamp-Becker I, Küpper C, Poustka L, et al. Health Services Use and Costs in Individuals with Autism Spectrum Disorder in Germany: Results from a Survey in ASD Outpatient Clinics. J Autism Dev Disord. 2022;52(2):540–52.

  53. Ames JL, Massolo ML, Davignon MN, Qian Y, Croen LA. Healthcare service utilization and cost among transition-age youth with autism spectrum disorder and other special healthcare needs. Autism. 2021;25(3):705–18.

  54. Outlook: Obesity. 2012.

  55. Ganz ML. The lifetime distribution of the incremental societal costs of autism. Arch Pediatr Adolesc Med. 2007;161(4):343–9.

    PubMed  Article  Google Scholar 

  56. Mosadeghrad AM, Pourreza A, Akbarpour N. Economic burden of autism spectrum disorders in Iran. Tehran University Med J. 2018;76(10):665–71.

    Google Scholar 

  57. Sechoaro EJ, Scrooby B, Koen DP. The effects of rehabilitation on intellectually-disabled people - a systematic review. Health SA Gesondheid (Online). 2014;19:1–9.

    Google Scholar 

  58. Mosadeghrad AM, Pourreza A, Akbarpour N. Economic burden of autism spectrum disorders in Iran. Tehran University Medical Journal. 2019;76(10):665–71.

    Google Scholar 

  59. Fang Y, Tao Q, Zhou X, Chen S, Huang J, Jiang Y, et al. Patient and Family Member Factors Influencing Outcomes of Poststroke Inpatient Rehabilitation. Archives of Physical Medicine and Rehabilitation. 2017;98(2):249–55.e2.

  60. Markussen S, Røed K. The impacts of vocational rehabilitation. Labour Econ. 2014;31:1–13.

    Article  Google Scholar 

  61. Reddy SR, Ross-Degnan D, Zaslavsky AM, Soumerai SB, Wharam JF. Impact of a high-deductible health plan on outpatient visits and associated diagnostic tests. Med Care. 2014;52(1):86–92.

    PubMed  PubMed Central  Article  Google Scholar 

  62. Karst JS, Van Hecke AV. Parent and family impact of autism spectrum disorders: a review and proposed model for intervention evaluation. Clin Child Fam Psychol Rev. 2012;15(3):247–77.

    PubMed  Article  Google Scholar 

  63. Helps S. Systemic psychotherapy with families where someone has an autism spectrum condition. NeuroRehabilitation. 2016;38(3):223–30.

    PubMed  PubMed Central  Article  Google Scholar 

  64. Gabovitch EM, Curtin C. Family-centered Care for Children with Autism Spectrum Disorders: a review. Marriage Fam Rev. 2009;45(5):469–98.

    Article  Google Scholar 

  65. Research Ethics Committees Certificate. Investigation of health care expenditures for people with autism Spectrum disorders in the world: a systematic review 2019 [cited 2022 March 24]. Available from:

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The present study was funded by the Kermanshah University of Medical Sciences through proposal grant number 990902. The funder had no role beyond the funding call in the design of the study, data collection, analysis, data interpretation, or writing the manuscript.

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S.R., B.K.M. and S.S. contributed in the conception and design of the study. S.S., S.TR, and S. B, wrote and revised the manuscript text. E.Z. and Z.A. Contributed in collecting data. PJ and Z.A. searched articles. A.K.K. and M.S. analyzed data. B.K.M., and S.B. supervised and guided analytical work. All authors read and approved the final manuscript.

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Correspondence to Shahin Soltani.

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This study was approved by the ethics committee of Kermanshah University of Medical Sciences (IR.KUMS.REC.1398.491) [65]. The systematic review was not registered.

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The author(s) declared no potential conflicts of interest with respect to the research, authorship and/or publication of this article.

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Matin, B.K., Byford, S., Soltani, S. et al. Contributing factors to healthcare costs in individuals with autism spectrum disorder: a systematic review. BMC Health Serv Res 22, 604 (2022).

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  • Autism
  • Healthcare costs
  • Out of pocket payments
  • Determinants
  • Systematic review