Implementation of M-Chat for Screening of Early Signs of Autism in the Brazilian Health Care System: A Feasibility Study
Abstract
:1. Introduction
2. Methods
2.1. Study Design and Setting
2.2. Participants
- (1)
- Nursing professionals: this group consisted of 97 (91.5%) nursing professionals out of a total of 106 eligible professionals working in public primary health care institutions in Cotia. The nursing professionals were nursing auxiliary (n = 12), technicians (n = 46), and registered nurses (n = 39). Most of participants were female (87.23%), and mean age was 44.54 years old (SD = 9.32). Most professionals had the highest level of technical education (n = 47; 48.45%), followed by higher education (n = 27; 27.84%) and higher education and lato sensu postgraduate studies (n = 23; 23.71%). More than half of the nursing professionals (n = 56; 59.57%) had worked in the health sector for more than five years, followed by those who had worked for between one and three years (n = 20; 28%), less than one year (n = 12; 12.77%), and three to five years (n = 6; 6.38%). Although the nursing professionals work at different levels (auxiliary, technician, or nurse), they performed the same functions in the basic health units. They all carried out nursing procedures, such as dressings, administering medication, vaccinations, collecting material for tests, washing, and preparing and sterilizing materials.
- (2)
- Parents or caregivers: between November 2019 and January 2021, 267 mothers or main caregivers, from an eligible sample of 3601 children, attended childcare and vaccination sessions at the 21 health units. Thus, the sample for this study consisted of 267 primary caregivers. The inclusion criterion for mothers or caregivers was that they cared for their child for at least 6 h a day. The mean age of children was 22.39 years old (SD = 4.23), and 50.94% were male.
2.3. Instruments
- (a)
- Questionnaire to assess knowledge of typical developmental milestones and early warning signs for ASD: developed by the researchers for this study, the instrument assesses expected developmental milestones and early warning signs for ASD in early childhood, predominantly between 12 and 30 months. It was based on the Ministry of Health’s document “Guidelines for the Rehabilitation of People with Autism Spectrum Disorders” [28]. The questionnaire is structured in two parts: the first, made up of 14 multiple-choice questions, assesses professionals’ knowledge of child development; the second, made up of 8 questions, assesses the conduct expected in primary care health services in cases where possible developmental alterations are identified. The validity of the instrument was checked by three independent judges, all of whom had a doctorate in human development, as well as clinical and teaching experience in developmental disorders. The content validity coefficient technique was used to assess the clarity, precision, and objectivity of the instrument [46]. The index of agreement between judges was calculated using the kappa coefficient and showed agreement of 0.86 in objectivity and 0.87 in precision criteria, considered satisfactory according to Pasquali [47]. However, the clarity criterion score was 0.66, considered relatively low. Proposed changes were made to the items to create an instrument whose items had adequate criteria for precision, clarity, and objectivity, considering the type of construct validity adopted.
- (b)
- The “Modified Checklist for Autism in Toddlers” (M-CHAT): developed by Robins et al. [39], the instrument comprises 23 items designed to screen for early signs of ASD in children aged between 16 and 24 months, based on reports from parents or caregivers. Any previously trained health professional can use it. The items are scored with “yes” or “no” answers to indicate the presence of signs of ASD. The items assess the child’s interest in social interaction, their ability to maintain eye contact, their aptitude for imitation, their tendency to play make-believe and to use eye contact and gestures to direct their partner’s social attention or to ask for help. The M-CHAT scoring algorithm states that, except for items 2, 5, and 12, a “no” answer indicates a risk of ASD, while a “yes” answer indicates a risk of ASD for items 2, 5 and 12. According to the instrument’s correction indication, a total score of 4 or more, or 2 or more positive critical items, indicates a risk of ASD, which suggests the need for more in-depth assessments by specialized professionals. In the original study evaluating the psychometric properties of the M-CHAT, internal reliability was found to be adequate for both the entire checklist and for the critical items (α = 0.85 and α = 0.83, respectively). Sensitivity was 0.97, and specificity was 0.95, both considered high [39]. The cross-cultural adaptation study of the M-CHAT for the Brazilian population was carried out by Losapio and Pondé [40], and the study evaluating the psychometric properties of the instrument for the Brazilian population was carried out by Castro-Souza [41], who found an alpha of 0.95, a sensitivity of 0.94, and a specificity of 0.91.
- (c)
- Questionnaire to assess the training of professionals in the use of the M-CHAT in-strument and evaluation of its implementation in vaccination childcare routines, con-sisting of seven questions that assessed, according to the nursing professionals’ reports, their perceptions of the quality of training and support actions for the use of the M-CHAT in childcare and immunization routines, the perception of overload, and the evaluation of the maintenance of the M-CHAT as part of the routines.
2.4. Training for Nursing Professionals
2.5. Proceedings
2.6. Data Analysis
2.7. Ethical Aspects
3. Results
4. Discussion
4.1. Feasibility and Evaluation of Training on ASD and M-CHAT
4.2. Knowledge About ASD
4.3. Early Signs of ASD According to M-CHAT
4.4. Limitations and Future Directions
5. Conclusions
Author Contributions
Funding
Institutional Review Board Statement
Informed Consent Statement
Data Availability Statement
Public Involvement Statement
Guidelines and Standards Statement
Use of Artificial Intelligence
Acknowledgments
Conflicts of Interest
References
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Question | Correct Answers | (%) |
---|---|---|
(1) What are the established etiological factors of ASD? | 57 | 58.16% |
(2) What are the signs and symptoms of ASD? | 62 | 63.27% |
(3) Which syndromes are usually associated with ASD? | 14 | 14.29% |
(4) Which symptoms of ASD are sensitive to drug interventions? | 58 | 59.18% |
(5) What therapies are recommended for interventions for children with ASD? | 57 | 58.16% |
(6) Identify which characteristics of a clinical case presented may be indicators of ASD | 17 | 17.35% |
(7) What is a savant skill? | 21 | 21.43% |
(8) Which areas are predominantly affected in people with ASD? | 32 | 32.65% |
(9) What is the approximate distribution of ASD cases by gender? | 10 | 10.20% |
(10) What is the best estimate of the prevalence of ASD in the general population? | 12 | 12.24% |
(11) Which of the ASD screening scales are you familiar with? | 26 | 26.53% |
(12) What is the main care unit in the public health network responsible for monitoring children with ASD? | 51 | 52.04% |
(13) What is the best composition of a multidisciplinary team for the clinical diagnostic evaluation of ASD? | 58 | 59.18% |
(14) What assessment procedures should be carried out when receiving a child with suspected ASD? | 38 | 38.78% |
Question | Correct Answers | (%) |
---|---|---|
(1) Feel safe in explaining the stages of neuropsychomotor development to a baby‘s parents? | 37 | 37.76% |
(2) Feel confident in assessing and communicating with the family about the stages of a baby‘s development? | 55 | 56.12% |
(3) Feel confident in alerting the family when the child doesn‘t speak at 28 months? | 61 | 62.24% |
(4) Feel confident in telling parents that their baby may have an indicator of altered development? | 50 | 51.02% |
(5) Do you guide a child‘s parents to a referral when you notice a language delay or change? | 83 | 84.69% |
(6) Do you ask for help from other professionals when the child doesn‘t know how to play as expected for their age with other children? | 89 | 90.82% |
(7) Do you recommend that parents see a specialist when they report that their child is acting differently? | 89 | 90.82% |
(8) Do you advise parents to seek specialized care when they notice that their child has difficulties and isn‘t saying anything? | 89 | 90.82% |
Groups | M | DP | H(gl) | p | Comparison | pTukey | d |
---|---|---|---|---|---|---|---|
Knowledge | |||||||
Auxiliary (n = 12) | 3.42 | 2.19 | 9.20(2) | 0.01 | Technical | 0.09 | 0.72 |
Technician (n = 46) | 5.02 | 2.25 | Registered Nurse | 0.17 | 0.39 | ||
Registered Nurse (n = 39) | 5.95 | 2.47 | Auxiliary | 0.02 | 1.05 | ||
Practices | |||||||
Auxiliary (n = 12) | 5.17 | 2.25 | 25.90(2) | 0.31 | Technical | 0.92 | 0.12 |
Technician (n = 46) | 5.41 | 2.02 | Registered Nurse | 0.35 | 0.31 | ||
Registered Nurse (n = 39) | 6.00 | 1.75 | Auxiliary | 0.40 | 0.45 |
M-CHAT Classification | Sex of the Child | X2 | p | |
Male | ||||
No risk (n = 200) | 101 (50.50%) | 99 (49.50%) | 0.45 | 0.50 |
At risk (n = 67) | 30 (44.77%) | 37 (55.23%) | ||
Child‘s Age Group | X2 | p | ||
M-CHAT Classification | 16 to 22 | 23 to 30 | ||
No risk (n = 200) | 105 (52.50%) | 95 (47.50%) | 0.45 | 0.50 |
At risk (n = 67) | 39 (58.20%) | 28 (31.80%) |
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Giaretta, N.M.; Trufeli, S.P.; Alckmin-Carvalho, F.; Teixeira, M.C.T.V. Implementation of M-Chat for Screening of Early Signs of Autism in the Brazilian Health Care System: A Feasibility Study. Nurs. Rep. 2025, 15, 120. https://doi.org/10.3390/nursrep15040120
Giaretta NM, Trufeli SP, Alckmin-Carvalho F, Teixeira MCTV. Implementation of M-Chat for Screening of Early Signs of Autism in the Brazilian Health Care System: A Feasibility Study. Nursing Reports. 2025; 15(4):120. https://doi.org/10.3390/nursrep15040120
Chicago/Turabian StyleGiaretta, Nadia Maria, Sabrina Pires Trufeli, Felipe Alckmin-Carvalho, and Maria Cristina Triguero Veloz Teixeira. 2025. "Implementation of M-Chat for Screening of Early Signs of Autism in the Brazilian Health Care System: A Feasibility Study" Nursing Reports 15, no. 4: 120. https://doi.org/10.3390/nursrep15040120
APA StyleGiaretta, N. M., Trufeli, S. P., Alckmin-Carvalho, F., & Teixeira, M. C. T. V. (2025). Implementation of M-Chat for Screening of Early Signs of Autism in the Brazilian Health Care System: A Feasibility Study. Nursing Reports, 15(4), 120. https://doi.org/10.3390/nursrep15040120