- 1Pediatrics Department, Universidade Federal de Ciências da Saúde de Porto Alegre (UFCSPA), Porto Alegre, Brazil
- 2Postgraduate Program in Medical Sciences, Universidade do Vale do Taquari (Univates), Lajeado, Brazil
Being a continental country, with over 210 million citizens, Brazil is similar to all of those who are part of the LAMIC (Low and middle income countries). It shows a big concentration of wealth, mainly in its south and southeast regions, as well as areas with immense poverty. In that sense, the health system also faces a huge amount of contrast. Inside University hospitals and facilities there are sophisticated tools and trained doctors prepared to assist in any kind of medical subject, including autism. But, unfortunately, at other times, the access to a good health system is made much harder. This results in many issues in the medical community, e.g., looking at the data regarding autism, there is a high average of the age of diagnosis. Another issue is the low number of professionals trained in ASD diagnosis and the few tools translated to Portuguese.
Introduction
Brazil is a continental country and is the fifth largest country in the world in territorial extension with over 210 million citizens (1, 2). Brazil is divided into five regions with different geographical, demographic, cultural, and financial characteristics (3), including different health indicators (4). Similar to other low- and middle-income countries (LMICs), Brazil shows a great concentration of wealth as well as areas with immense poverty. In this sense, access to the health system is also a great contrast (5).
In Brazil, the Single National Health System (SUS) (Sistema Único de Saúde in Portuguese) provides access to health services for all citizens. This system is organized regionally and is composed of services with different degrees of complexity. It is also financed and coordinated by various government agencies (6–8). The public health system is not always able to offer excellent care for the entire population, and the private health system only services 20–45% of the citizens. Some hospitals and clinics attend both systems, but, in certain fields, the private system is more complete with tools, experts, and resources that are not present in the public system (9, 10).
Autism spectrum disorder (ASD) is a complex neurobiological development disorder characterized by two main behavioral components: (1) difficulty with communication and social interactions and (2) restrictive and repetitive behaviors, interests, and activities (11). ASD is a disorder that manifests with a wide variety of symptoms in the cognitive, emotional, and neurobehavioral areas. Although the characteristics that compose it are well-defined, the great heterogeneity of findings in each individual makes its recognition challenging. The disorder encompasses extremely heterogeneous phenotypes, especially in the mildest cases of the spectrum, and the severity of central deficits varies greatly between patients (12–15).
The current prevalence points out that one in 54 children aged 8 years has ASD in the USA, and the ratio is higher in boys than in girls (4:1) (16). The prevalence of ASD makes it one of the most frequent neurological development disorders, representing a major public health concern, and it leads to high social and economic costs (17). There are no Brazilian studies that reliably estimate the prevalence of ASD; therefore, the federal government included the pathology in the 2020 national census (18). Current estimates show that about 1.5 million people have ASD in Brazil (15, 19, 20). A study analyzing the profile of children attended at the Child and Adolescent Psychosocial Care Center (Centros de Atenção Psicossocial Infanto-Juvenil [CAPSi]), from 2008 to 2012, showed that 23.6% of a total of 837,068 visits were related to developmental disorders (21).
In the absence of a biological marker, the diagnosis of autism remains a clinical decision (14, 22, 23), and instruments and scales are often used to aid in the diagnosis (14). Even in developed countries, studies describe the difficulty of early diagnosis, the parents' pilgrimage in different health services, and their discontentment with the diagnostic process (24–27). In addition, factors such as family income, residence in rural areas, ethnicity, child impairment, clinical presentation, and parental concern about initial symptoms are associated with later diagnosis (28–30). Therefore, it is expected that LMICs will have even greater difficulties in early diagnosis.
The diagnosis of ASD is based on a qualitative assessment of behavioral patterns and is directly influenced by the complexity and variability in the presentation of the disorder (e.g., levels of severity, association with intellectual disability, and other medical conditions). These characteristics have led to the development of a significant number of international instruments focusing on identification and early diagnosis (31, 32). Experience from high-income countries suggests that incorporating screening tools into routine healthcare visits can result in earlier and more accurate identification of children with developmental disorders, compared to only relying on clinical impressions (33). The use of ASD screening and diagnostic instruments in Brazil is still limited, representing an obstacle to the expansion of research in this field and to the improvement in the quality of health services. Although some instruments have been translated and validated, critical examination of the psychometric quality of these studies is still lacking in Brazilian publications (31).
Objectives
We aim to identify all data related to the tools and identification process of children and adolescents with ASD in Brazil.
Review Question
What data do we have related to the tools and the process of identifying children and adolescents with ASD in Brazil?
Methods
We searched in PubMed (maintained by the United States National Library of Medicine at the National Institutes of Health), Scientific Electronic Library Online (SciELO), and Literatura Latino-Americana e do Caribe em Ciências da Saúde (LILACS) for systematic reviews about the tools and identification process for children with ASD in Brazil, and one article of 2010 was found. The authors performed a systematic review of the literature on the diagnosis of ASD in Brazil. The review follows the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) system of reporting (34). In regard to the article and abstract selection, the following inclusion criteria were used: (1) articles and abstracts published in the last 20 years; (2) articles that have at least one Brazilian researcher listed as an author; and (3) studies focused in identification/diagnosis of ASD.
The exclusion criteria included papers published more than 20 years ago, with no Brazilian authors listed, and whose languages were English and Portuguese. They also included articles of review, neurobiological and genetic bases, ASD comorbidities, epidemiological studies, phenotype and endophenotype studies, and intervention trials.
The articles were identified through a research of the major biomedical literature databases: PubMed, SciELO, and LILACS. The following research terms were used, alone and in combination: “autism,” “ASD,” and autism spectrum disorder [Mesh]; “assessment,” “diagnostic criteria,” and diagnosis [Mesh]; “scale,” “instrument,” “tool,” and “Brazil” [Mesh]; and “Brazilian.” An eligibility assessment was performed independently in an unblinded standardized manner by three authors. Disagreements between reviewers were resolved by consensus.
Results
After a systematic review, 15 articles were identified in the last 20 years (Figure 1). These articles are summarized in Table 1. We found seven validation studies, one before–after study, and eight cross-sectional studies.
Most studies are focused on the validation of scales and instruments and on the correlation of these with the diagnosis of ASD. Two studies stand out for us. The first led by Ribeiro et al. (46), which focuses on the barriers to early identification of autism in Brazil. This study shows us that the distance between the suspected diagnosis of ASD by parents and the formal diagnosis of the disease had an average delay of 3 years. Most mothers described their interactions with the doctorsas negative, and they felt discouraged to express their concerns again. The second was that of Bordini et al. (6), which shows that the training of health workers significantly increases knowledge about ASD. The number of patients referred to specialized ASD treatment centers has increased sixfold in just 4 months after training.
Discussion
After the systematic analysis, it was found that there were few data on the TEA diagnosis process in Brazil and that most of the articles are related to the topic of translation processes and validation tools for Brazilian Portuguese.
It draws our attention to the fact that most of the difficulties encountered are late diagnosis, lack of training of health teams, problems of doctor–patient relationship, lack of knowledge about ASD, access to the health system, high cost of training professionals, and the high cost of tools for assessment of ASD patients. These problems are described in studies in other LMICs as can be seen in the paper of Ha et al. and blunt commentary of Ha et al. (48) and Durkin et al. (49).
Although the Brazilian mental health system is fully integrated with SUS (8, 50), unequal distribution of resources among different regions of Brazil and high levels of individual income inequality make access to care a significant challenge for many children and adolescents with mental health problems (7), the majority being ASD children who are not receiving specialized treatment (6).
There is a concentration of experts and services on some university sites, mainly in some south and southeast regions, which are the richest regions of the country. In addition, more than half of the doctors are concentrated in state capitals, where less than a quarter of the country's population lives (51). Inside universities and large hospitals, there are sophisticated tools and trained teams prepared to assist with any kind of medical diagnosis, including ASD. Unfortunately, access to the health system is made much harder in other situations. Some poor areas do not have trained and structured services to identify developmental delays, including ASD (7). It is estimated that only one in five children or adolescents in Brazil receive adequate mental care due to a shortage of specialized services, especially in the country's north and midwest regions (21, 52, 53).
The lack of professionals trained to recognize the manifestations of the disorder and the shortage of specialized services are associated with late ASD diagnosis (24). Even though the public health system should officially identify children with a developmental delay, some children (mainly the poorest) do not have access to skilled health services. Mandell et al. (54) showed that white children are diagnosed at 6.3 years old, while African American children are diagnosed at 7.9 years old, on average in the USA. These racial and ethnic differences in the age of diagnosis may be related to institutional factors, such as difficulties in a family's access to health services (30), although there are no similar studies in the Brazilian population. Based on other studies (55, 56), we believe that there is a similar reality in Brazil.
Although parents had concerns about their children's development, they had some obstacles until the diagnosis. Ribeiro et al., in an interesting work on the barriers of ASD diagnosis in Brazil, described the negative experiences of family members (56.3%) when reporting symptoms of autism to pediatricians and feeling discouraged to express their concerns again. Parents sometimes hear phrases from health professionals like “children should not be compared to each other” and “boys have a slower development rate” or they “are more agitated than girls” (46). Similar findings were reported in the UK and France, showing high rates of discontent with the diagnosis process. Even with parents suspecting that something was wrong with their children, it is not unusual for pediatricians to instruct them not to worry and to wait (26, 27). In Brazil, cases of 3- to 4-year-old children with a speech delay who are referenced to speech therapy without screening for ASD still occur. Interestingly, Machado et al. while evaluating the presence of signs of ASD in children referred to a hearing center to investigate hearing loss, despite the small sample, found signs for ASD (60%) more often than hearing loss (18%) (19).
Delays in obtaining an ASD diagnosis contribute to parental distress and postpone the start of therapeutic intervention, which, in turn, may affect the patients' long-term functional outcome and social adaptation (6, 25, 57, 58). Some advances have occurred, such as the promotion of early diagnosis by the Brazilian Academy of Pediatrics (59) and the release of guidelines for ASD diagnosis by the Brazilian Ministry of Health (60, 61). Unfortunately, validated protocols or screening algorithms for early ASD detection have not been implemented in most Brazilian public health facilities (15, 19, 20, 60), in spite of the World Health Organization (WHO) recommendation that LMICs should have an early ASD detection program (62). The insufficient information and clinical training of primary healthcare professionals, including scarce teaching about autism in medical schools, also contributes to the problem (6, 19, 63).
Despite the relevance of this topic, the number of Brazilian scientific publications on the care of children with ASD from the perspective of their family members is still scarce (46, 64, 65), and the few existing studies have a small number of participants. It is noteworthy that there are few studies focused on the training of health professionals to identify children with ASD in a clinical practice, and there is also a lack of initiatives to guide education workers, such as kindergarten educators, to identify these children. Perhaps these initiatives are one of the keys to early identification of children with ASD.
Diagnosing ASD is a challenging task (66). The screening tools help to identify children who may have developmental delays, allowing their early referral to specialized centers. Some screening tools are used primarily in pediatric practices, while others are used by school systems or in other community settings. Diagnostic tools, although they cannot be used as a basis (the diagnostic process should include information from parents/caregivers and child observation and interaction along with the usage of clinical judgement), aid in diagnosis (38, 66–68).
There is a lack of consensus on which screening tools are most effective especially when the tools are used in cultures other than those in which they were developed, which occurs often in LMICs. Routine screening is an important first step toward addressing the need for services in LMICs, but high-quality tools take time to be conceptualized, developed, piloted, and validated, before implementation can happen (33). Most tools that help the diagnosis of autism are developed in English and need to be translated and validated for use in clinical practice in Brazil. We found many studies that made this process. Despite the success demonstrated in some papers, few tools were fully tested, and there is a great delay between their development and their validation for use in Brazil. As an example, Losapio and Pondé (37) translated the M-CHAT, a screening tool, in 2008, but the original article was published in 2001 (37, 69). Likewise, the CARS, which is so important in helping the identification of ASD children, was validated in the same year (2008) (45), 20 years after the original paper was published (70). In addition, health professionals make little use of these instruments in daily practice. Many parents of ASD children report that they visited many different health professionals in search of a diagnosis during their child's early years, but no specific ASD screening was performed (19, 71).
There is a lack of validated/translated tools to identify children with ASD in clinical practice, resulting in some initiatives to develop new tools that could be used in Brazil. However, this kind of work demands time and has obstacles, as we see in the work of Bosa et al. (72).
In summary, the difficulties encountered in Brazil do not seem to be very different from those encountered in other developing countries. According to Stewart and Lee (73), community-based screening was shown to be an effective method for identifying ASD in communities with limited clinical resources, and these studies offer the opportunity to identify individuals with symptoms across a wider spectrum.
Access to healthcare providers who are capable of diagnosing and treating individuals with ASD can be very limited in LMICs (73). An alternative to improve this situation is to invest in training primary healthcare workers and non-specialists. The WHO is conducting an alternative for the early intervention of children with ASD. This initiative is named the WHO Caregiver Skills Training (WHO CST) program and is designed to train people who are not specialists in the health field to perform health interventions aimed at delayed development in children, including ASD. This program is designed to use a combination of group sessions (e.g., community centers) and individual sessions in children's homes. The group session is tailored to teach the caregivers to carry out the necessary interventions for children with developmental disorders, while keeping the costs low. The session at home is held to adapt interventions to the individual needs of each child and family (74). This type of intervention is based on reviews that demonstrate that interventions performed by caregivers guided by non-specialists with ASD patients are effective (75, 76). The WHO CST program is currently undergoing field testing in more than 30 countries in regions throughout the world (77). Randomized studies are being carried out in Pakistan and Italy, and cultural adaptations are also being carried out for each community when necessary (74, 77–79).
Data Availability Statement
The raw data supporting the conclusions of this article will be made available by the authors, without undue reservation.
Author Contributions
All authors listed above participated independently in the selection of articles and review of the topic. After an initial selection, the content was reviewed together and the article presented here was elaborated. All authors contributed to the article and approved the submitted version.
Conflict of Interest
The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.
Publisher's Note
All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.
References
1. Tamanho do Brasil. Disponível em: https://cnae.ibge.gov.br/en/component/content/article/97-7a12/7a12-voce-sabia/curiosidades/1629-o-tamanho-do-brasil.html (accessed August 8, 2020).
2. IBGE | Biblioteca | Detalhes | Estimativas da população residente para os municípios e para as unidades da federação com data de referência em 1° de julho de 2019 : [notas metodológicas]. Disponível em: https://biblioteca.ibge.gov.br/index.php/biblioteca-catalogo?view=detalhes&id=2101662 (accessed de agosto de 08, 2020).
3. Instituto Brasileiro de Geografia e Estatística, organizador. Divisão regional do Brasil em regiões geográficas imediatas e regiões geográficas intermediárias 2017. Rio de Janeiro: IBGE, Instituto Brasileiro de Geografia e Estatística (2017). p. 80.
4. Tábuas Completas de Mortalidade | IBGE. Disponível em: https://www.ibge.gov.br/estatisticas/sociais/populacao/9126-tabuas-completas-de-mortalidade.html?=&t=publicacoes (accessed de agosto de 08, 2020).
5. Albuquerque MV de, Viana AL d'Ávila, Lima LD de, Ferreira MP, Fusaro ER, Iozzi FL. Desigualdades regionais na saúde: mudanças observadas no Brasil de 2000 a 2016. Ciênc Saúde Coletiva. (2017) 22:1055–64. doi: 10.1590/1413-81232017224.26862016
6. Bordini D, Lowenthal R, Gadelha A, Araujo Filho GM de, Mari J de J, Paula CS. Impact of training in autism for primary care providers: a pilot study. Rev Bras Psiquiatr. (2014) 37:63–6. doi: 10.1590/1516-4446-2014-1367
7. Paula CS, Lauridsen-Ribeiro E, Wissow L, Bordin IAS, Evans-Lacko S. How to improve the mental health care of children and adolescents in Brazil: actions needed in the public sector. Rev Bras Psiquiatr. (2012) 34:334–41. doi: 10.1016/j.rbp.2012.04.001
8. Mello MF de, Mello A de AF de, Kohn R, organizadores. Epidemiologia da saúde mental no Brasil. São Paulo, SP: Artmed (2007). p. 207.
9. Duarte E, Eble LJ, Garcia LP. 30 anos do Sistema Único de Saúde. Epidemiol E Serviços Saúde. março de (2018). 27. Disponível em: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S2237-96222018000100100&lng=pt&nrm=iso&tlng=pt (accessed 23 de julho de 2020).
10. Ministério da Saúde. Capitulo F. Disponível em: http://tabnet.datasus.gov.br/tabdata/livroidb/2ed/CapituloF.pdf (accessed de julho de 13, 2020).
11. Association AP. Diagnostic and Statistical Manual of Mental Disorders (DSM-5®). Washington, DC: American Psychiatric Pub. (2013). p. 1952.
12. Stanković M, Lakić A, Ilić N. Autism and autistic spectrum disorders in the context of new DSM-V classification, and clinical and epidemiological data. Srp Arh Celok Lek. abril de. (2012) 140:236–43. doi: 10.2298/SARH1204236S
13. Johnson CP, Myers SM, American Academy of Pediatrics Council on Children With Disabilities. Identification and evaluation of children with autism spectrum disorders. Pediatrics. (2007) 120:1183–215. doi: 10.1542/peds.2007-2361
14. Sharma SR, Gonda X, Tarazi FI. Autism spectrum disorder: classification, diagnosis and therapy. Pharmacol Ther. (2018) 190:91–104. doi: 10.1016/j.pharmthera.2018.05.007
15. Paula CS, Fombonne E, Gadia C, Tuchman R, Rosanoff M. Autism in Brazil: perspectives from science and society. Rev Assoc Medica Bras. (1992) 57:2–5. doi: 10.1590/S0104-42302011000100002
16. Maenner MJ. Prevalence of autism spectrum disorder among children aged 8 years — autism and developmental disabilities monitoring network, 11 sites, United States, 2016. MMWR Surveill Summ. (2020) 69:1–12. doi: 10.15585/mmwr.ss6904a1
17. Brentani H, Paula CS de, Bordini D, Rolim D, Sato F, Portolese J, et al. Autism spectrum disorders: an overview on diagnosis and treatment. Rev Bras Psiquiatr São PauloBraz. (2013) 35 (Suppl. 1):S62–72. doi: 10.1590/1516-4446-2013-S104
18. IBGE – Censo. IBGE - Censo. (2020). Disponível em: https://censo2020.ibge.gov.br/sobre/conhecendo-o-brasil (accessed de agosto de 16, 2020).
19. Machado FP, Palladino RRR, Damasceno LL, Cunha MC. Appropriateness of using autism spectrum disorders screening tools in a hearing evaluation service. Folia Phoniatr Logop. (2016) 68:60–6. doi: 10.1159/000446984
20. Paula CS, Ribeiro SH, Fombonne E, Mercadante MT. Brief report: prevalence of pervasive developmental disorder in Brazil: a pilot study. J Autism Dev Disord. (2011) 41:1738–42. doi: 10.1007/s10803-011-1200-6
21. Ceballos GY, Paula CS, Ribeiro EL, Santos DN. Child and adolescent psychosocial care center service use profile in Brazil: 2008 to 2012. Rev Bras Psiquiatr São PauloBraz. (1999) 41:138–47. doi: 10.1590/1516-4446-2018-0011
22. Goldani AAS, Downs SR, Widjaja F, Lawton B, Hendren RL. Biomarkers in autism. Front Psychiatry. (2014) 5:100. doi: 10.3389/fpsyt.2014.00100
23. Marchezan J, Winkler Dos Santos EGA, Deckmann I, Riesgo RDS. Immunological dysfunction in autism spectrum disorder: a potential target for therapy. Neuroimmunomodulation. (2018) 25:300–19. doi: 10.1159/000492225
24. Siklos S, Kerns KA. Assessing the diagnostic experiences of a small sample of parents of children with autism spectrum disorders. Res Dev Disabil. (2007) 28:9–22. doi: 10.1016/j.ridd.2005.09.003
25. Goin-Kochel RP, Mackintosh VH, Myers BJ. How many doctors does it take to make an autism spectrum diagnosis? Autism Int J Res Pract. (2006) 10:439–51. doi: 10.1177/1362361306066601
26. Crane L, Chester JW, Goddard L, Henry LA, Hill E. Experiences of autism diagnosis: a survey of over 1000 parents in the United Kingdom. Autism Int J Res Pract. (2016) 20:153–62. doi: 10.1177/1362361315573636
27. Chamak B, Bonniau B, Oudaya L, Ehrenberg A. The autism diagnostic experiences of French parents. Autism Int J Res Pract. (2011) 15:83–97. doi: 10.1177/1362361309354756
28. Mandell DS. Factors associated with age of diagnosis among children with autism spectrum disorders. Pediatrics. (2005) 116:1480–6. doi: 10.1542/peds.2005-0185
29. Daniels AM, Mandell DS. Explaining differences in age at autism spectrum disorder diagnosis: a critical review. Autism. (2014) 18:583–97. doi: 10.1177/1362361313480277
30. Mandell DS, Wiggins LD, Carpenter LA, Daniels J, DiGuiseppi C, Durkin MS, et al. Racial/Ethnic disparities in the identification of children with autism spectrum disorders. Am J Public Health. (2009) 99:493–8. doi: 10.2105/AJPH.2007.131243
31. Backes B, Mônego BG, Bosa CA, Bandeira DR. Psychometric properties of assessment instruments for autism spectrum disorder: a systematic review of Brazilian studies. J Bras Psiquiatr. (2014) 63:154–64. doi: 10.1590/0047-2085000000020
32. Charman T, Gotham K. Measurement Issues: screening and diagnostic instruments for autism spectrum disorders - lessons from research and practise. Child Adolesc Ment Health. (2013) 18:52–63. doi: 10.1111/j.1475-3588.2012.00664.x
33. Marlow M, Servili C, Tomlinson M. A review of screening tools for the identification of autism spectrum disorders and developmental delay in infants and young children: recommendations for use in low- and middle-income countries. Autism Res Off J Int Soc Autism Res. (2019) 12:176–99. doi: 10.1002/aur.2033
34. Liberati A, Altman DG, Tetzlaff J, Mulrow C, Gotzsche PC, Ioannidis JPA, et al. The PRISMA statement for reporting systematic reviews and meta-analyses of studies that evaluate healthcare interventions: explanation and elaboration. BMJ. (2009) 339 (jul21 1):b2700–b2700. doi: 10.1136/bmj.b2700
35. Barbosa IG, Rodrigues DH, Rocha NP, Simões-e-Silva AC, Teixeira AL, Kummer A. Propriedades psicométricas da escala de responsividade social-2 para transtornos do espectro autista. J Bras Psiquiatr. (2015) 64:230–7. doi: 10.1590/0047-2085000000083
36. Becker MM, Wagner MB, Bosa CA, Schmidt C, Longo D, Papaleo C, et al. Translation and validation of Autism Diagnostic Interview-Revised (ADI-R) for autism diagnosis in Brazil. Arq Neuropsiquiatr. (2012) 70:185–90. doi: 10.1590/S0004-282X2012000300006
37. Losapio MF, Pondé MP. Tradução para o português da escala M-CHAT para rastreamento precoce de autismo. Rev Psiquiatr Rio Gd Sul. dezembro de. (2008) 30:221–9. doi: 10.1590/S0101-81082008000400011
38. Machado FP, Palladino RRR, Barnabé LMW, Cunha MC. Respostas parentais aos sinais clássicos de autismo em dois instrumentos de rastreamento. Audiol—Commun Res. (2016) 21:1–7. doi: 10.1590/2317-6431-2015-1659
39. Marques DF, Bosa CA. Protocolo de avaliação de crianças com autismo: evidências de validade de critério. Psicol Teor E Pesqui. (2015) 31:43–51. doi: 10.1590/0102-37722015011085043051
40. Marteleto MRF, Menezes CG de L e, Tamanaha AC, Chiari BM, Perissinoto J. Administration of the Autism Behavior Checklist: agreement between parents and professionals' observations in two intervention contexts. Rev Bras Psiquiatr. (2008) 30:203–8. doi: 10.1590/S1516-44462008000300005
41. Duarte CS, Bordin IAS, Oliveira A de, Bird H. The CBCL and the identification of children with autism and related conditions in Brazil: pilot findings. J Autism Dev Disord. (2003) 33:703–7. doi: 10.1023/B:JADD.0000006005.31818.1c
42. Galdino MP, Pegoraro LFL, Saad LO, Grodberg D, Celeri EHRV. Evidence of validity of the autism mental status examination (AMSE) in a Brazilian Sample. J Autism Dev Disord. (2020) 50:2320–5. doi: 10.1007/s10803-018-3530-0
43. Marteleto MRF, Pedromônico MRM. Validity of Autism Behavior Checklist (ABC): preliminary study. Rev Bras Psiquiatr. (2005) 27:295–301. doi: 10.1590/S1516-44462005000400008
44. Pacífico MC, de Paula CS, Namur VS, Lowenthal R, Bosa CA, Teixeira MCTV. Preliminary evidence of the validity process of the Autism Diagnostic Observation Schedule (ADOS): translation, cross-cultural adaptation and semantic equivalence of the Brazilian Portuguese version. Trends Psychiatry Psychother. (2019) 41:218–26. doi: 10.1590/2237-6089-2018-0063
45. Pereira A, Riesgo RS, Wagner MB. Childhood autism: translation and validation of the Childhood Autism Rating Scale for use in Brazil. J Pediatr (Rio J). (2008) 84:487–94. doi: 10.2223/JPED.1828
46. Ribeiro SH, de Paula CS, Bordini D, Mari JJ, Caetano SC. Barriers to early identification of autism in Brazil. Rev Bras Psiquiatr. (2017) 39:352–4. doi: 10.1590/1516-4446-2016-2141
47. Sanvicente-Vieira B, Kluwe-Schiavon B, Wearick-Silva LE, Piccoli GL, Scherer L, Tonelli HA, et al. Revised Reading the Mind in the Eyes Test (RMET) - Brazilian version. Rev Bras Psiquiatr. (2013) 36:60–7. doi: 10.1590/1516-4446-2013-1162
48. Ha VS, Whittaker A, Rodger S. Assessment and diagnosis of autism spectrum disorder in Hanoi, Vietnam. J Child Fam Stud. (2017) 26:1334–44. doi: 10.1007/s10826-017-0655-2
49. Durkin MS, Elsabbagh M, Barbaro J, Gladstone M, Happe F, Hoekstra RA, et al. Autism screening and diagnosis in low resource settings: challenges and opportunities to enhance research and services worldwide. Autism Res Off J Int Soc Autism Res. (2015) 8:473–6. doi: 10.1002/aur.1575
50. Paula CS, Nakamura E, Wissow L, Bordin IA, do Nascimento R, Leite ÁM, et al. Primary care and children's mental health in Brazil. Acad Pediatr. julho de. (2009) 9:249–55.e1. doi: 10.1016/j.acap.2009.02.006
51. Scheffer M, Cassenote A, Guilloux AGA, Biancarelli A, Miotto BA, Mainardi GM. Demografia Médica no Brasil 2018 Vol. 1. São Paulo: FMUSP, CFM, Cremesp (2018). p. 286.
52. Garcia GYC, Santos DN, Machado DB. Centros de Atenção Psicossocial Infantojuvenil no Brasil: distribuição geográfica e perfil dos usuários. Cad Saúde Pública. (2015) 31:2649–54. doi: 10.1590/0102-311X00053515
53. Paula CS, Bordin IAS, Mari JJ, Velasque L, Rohde LA, Coutinho ESF. The mental health care gap among children and adolescents: data from an epidemiological survey from four Brazilian regions. PLoS ONE. (2014) 9:e88241. doi: 10.1371/journal.pone.0088241
54. Mandell DS, Listerud J, Levy SE, Pinto-Martin JA. Race differences in the age at diagnosis among medicaid-eligible children with autism. J Am Acad Child Adolesc Psychiatry. (2002) 41:1447–53.
55. Nazif-Muñoz JI, Nandi A, Ruiz-Casares M. Protecting only white children: the impact of child restraint legislation in Brazil. J Public Health Oxf Engl. (2019) 41:287–95. doi: 10.1093/pubmed/fdy105
56. Chor D, Lima CR de A. Aspectos epidemiológicos das desigualdades raciais em saúde no Brasil. Cad Saúde Pública. (2005) 21:1586–94. doi: 10.1590/S0102-311X2005000500033
57. Fernell E, Eriksson MA, Gillberg C. Early diagnosis of autism and impact on prognosis: a narrative review. Clin Epidemiol. (2013) 5:33–43. doi: 10.2147/CLEP.S41714
58. Reichow B. Overview of meta-analyses on early intensive behavioral intervention for young children with autism spectrum disorders. J Autism Dev Disord. (2012) 42:512–20. doi: 10.1007/s10803-011-1218-9
59. Transtorno do Espectro do Autismo - Manual de Orientação. Departamento Científico de Pediatria do Desenvolvimento e Comportamento- Sociedade Brasileira de Pediatria Rio de Janeiro (2019).
60. Ministério da Saúde. Diretrizes de Atenção à Reabilitação da Pessoa com Transtornos do Espectro do Autismo (TEA). Brasília (2013). Disponível em: http://bvsms.saude.gov.br/bvs/publicacoes/diretrizes_atencao_reabilitacao_pessoa_autismo.pdf (accessed de julho de 23, 2020).
61. Linha de cuidado para a atenção às pessoas com transtornos do espectro do autismo e suas famílias na Rede de Atenção Psicossocial do Sistema Único de Saúde. p. 157.
62. World Health Organization (WHO). WHA Resolution on “‘Comprehensive and Coordinated Efforts for the Management of Autism Spectrum Disorders’”. (2014). Disponível em: www.who.int/mental_health/action_plan_2013/eb_resolution_childhood/en/ (accessed de junho de 26, 2017)
63. Muller C, Alegre P. Conhecimento Dos Estudantes De Medicina Acerca Do Autismo Em Uma Universidade Do Rio Grande Do Sul. p. 72.
64. Teixeira MCTV, Mecca TP, Velloso R de L, Bravo RB, Ribeiro SHB, Mercadante MT, et al. Literatura científica brasileira sobre transtornos do espectro autista. Rev Assoc Médica Bras. (2010) 56:607–14. doi: 10.1590/S0104-42302010000500026
65. Gomes PTM, Lima LHL, Bueno MKG, Araújo LA, Souza NM. Autism in Brazil: a systematic review of family challenges and coping strategies. J Pediatr (Rio J). (2015) 91:111–21. doi: 10.1016/j.jpedp.2015.01.005
66. Thabtah F, Peebles D. Early autism screening: a comprehensive review. Int J Environ Res Public Health. (2019) 16:2. doi: 10.3390/ijerph16183502
67. Randall M, Egberts KJ, Samtani A, Scholten RJ, Hooft L, Livingstone N, et al. Diagnostic tests for autism spectrum disorder (ASD) in preschool children. Cochrane Database Syst Rev. (2018) 7:CD009044. doi: 10.1002/14651858.CD009044.pub2
68. CDC. Healthcare Providers | Autism Spectrum Disorder (ASD) | NCBDDD | CDC. Centers for Disease Control and Prevention (2020). Disponível em: https://www.cdc.gov/ncbddd/autism/hcp-screening.html (accessed de agosto de, 20 2020).
69. Robins DL, Fein D, Barton ML, Green JA. The Modified Checklist for Autism in Toddlers: an initial study investigating the early detection of autism and pervasive developmental disorders. J Autism Dev Disord. (2001) 31:131–44. doi: 10.1037/t03999-000
70. Schopler E, Reichler R, Renner BR. The Childhood Autism Rating Scale (CARS). 10° ed. Los Angeles: Western Psychological Services (1988).
71. Rios C, Costa Andrada B. The changing face of autism in Brazil. Cult Med Psychiatry. (2015) 39:213–34. doi: 10.1007/s11013-015-9448-5
72. Bosa CA, Zanon RB, Backes B. Autismo: construção de um protocolo de avaliação do comportamento da criança – protea-R. Psicol - Teor E Prática. (2016) 18:194–205. doi: 10.15348/1980-6906/psicologia.v18n1p194-205
73. Stewart LA, Lee L-C. Screening for autism spectrum disorder in low- and middle-income countries: a systematic review. Autism. (2017) 21:527–39. doi: 10.1177/1362361316677025
74. Salomone E, Pacione L, Shire S, Brown FL, Reichow B, Servili C. Development of the WHO caregiver skills training program for developmental disorders or delays. Front Psychiatry. (2019) 10:769. doi: 10.3389/fpsyt.2019.00769
75. Reichow B, Kogan C, Barbui C, Smith I, Yasamy MT, Servili C. Parent skills training for parents of children or adults with developmental disorders: systematic review and meta-analysis protocol. BMJ Open. (2014) 4:e005799. doi: 10.1136/bmjopen-2014-005799
76. Reichow B, Servili C, Yasamy MT, Barbui C, Saxena S. Non-specialist psychosocial interventions for children and adolescents with intellectual disability or lower-functioning autism spectrum disorders: a systematic review. Murthy RS, organizador. PLoS Med. (2013) 10:e1001572. doi: 10.1371/journal.pmed.1001572
77. World Health Organization (WHO). Training Parents to Transform Children's Lives. Training Parents to Transform Children's Lives. Disponível em: https://www.who.int/mental_health/maternal-child/PST/en/
78. Tekola B, Girma F, Kinfe M, Abdurahman R, Tesfaye M, Yenus Z, et al. Adapting and pre-testing the World Health Organization's Caregiver Skills Training programme for autism and other developmental disorders in a very low-resource setting: findings from Ethiopia. Autism.j. (2020) 24:51–63. doi: 10.1177/1362361319848532
79. Hamdani SU, Akhtar P, Zill-e-Huma, Nazir H, Minhas FA, Sikander S, et al. WHO Parents Skills Training (PST) programme for children with developmental disorders and delays delivered by Family Volunteers in rural Pakistan: study protocol for effectiveness implementation hybrid cluster randomized controlled trial. Glob Ment Health. (2017) 4:e11. doi: 10.1017/gmh.2017.7
Keywords: austim, ASD, autismo spectrum disorders, diagnoses, diagnoses tools
Citation: Sukiennik R, Marchezan J and Scornavacca F (2022) Challenges on Diagnoses and Assessments Related to Autism Spectrum Disorder in Brazil: A Systematic Review. Front. Neurol. 12:598073. doi: 10.3389/fneur.2021.598073
Received: 23 August 2020; Accepted: 25 May 2021;
Published: 20 January 2022.
Edited by:
Lidia V. Gabis, Sheba Medical Center, IsraelReviewed by:
Deborah Fein, University of Connecticut, United StatesJosé Salomão Schwartzman, Mackenzie Presbyterian University, Brazil
Copyright © 2022 Sukiennik, Marchezan and Scornavacca. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
*Correspondence: Ricardo Sukiennik, ricardosukiennik@gmail.com