ORIGINAL PAPER
KAMUTHE video microanalysis system for use in Brazil: translation, cross-cultural adaptation and evidence of validity and reliability
 
More details
Hide details
1
Universidade do Estado de Santa Catarina, Florianópolis City, Brazil
 
2
Universidade Federal do Rio Grande do Sul, Porto Alegre, Brazil
 
 
Submission date: 2016-08-01
 
 
Final revision date: 2016-10-07
 
 
Acceptance date: 2016-10-07
 
 
Online publication date: 2016-11-22
 
 
Publication date: 2016-11-29
 
 
Health Psychology Report 2017;5(2):125-137
 
KEYWORDS
TOPICS
ABSTRACT
Background
KAMUTHE is a video microanalysis system which observes preverbal communication within the music therapy setting. This system is indicated for children with autism spectrum disorder (ASD) or multiple disabilities. The purpose of this study was to translate, adapt to Brazilian Portuguese language and analyze some psychometric properties (reliability and validity evidence) of KAMUTHE administration in Brazil for individuals with ASD.

Participants and procedure
Translation, back translation, analysis by judges, and pilot application were performed to obtain evidence of content and face validity. The second part of this study was to administer KAMUTHE in 39 consecutive children with ASD. An individual session of improvisational music therapy was applied to assess the different behaviors included in KAMUTHE. The intra-rater reliability, concurrent validity and convergent validity were analyzed.

Results
Translation and cross-cultural adaptation were followed and some cultural adaptations were needed. Inter-rater reliability was very good (ICCs 0.95-0.99) for the three child’s behaviors analyzed. Criteria validity with a moderate negative association was found (r = –.38, p = .017) comparing the behavior “Gazes at therapist” and the level of ASD along with the Childhood Autism Rating Scale (CARS). Convergent validity was established between the behavior “Gazes at therapist” and the two nonlinguistic communication scales (social interaction and interests) of the Children’s Communication Checklist (CCC) with a moderate correlation (r = –.43, p = .005).

Conclusions
The administration of the KAMUTHE video microanalysis system showed positive results in children with ASD. Further studies are needed to improve the reliability and validity of the instrument in Brazil.
 
REFERENCES (60)
1.
Aigen, K. (2009). Verticality and containment in song and improvisation: an application of schema theory to Nordoff-Robbins music therapy. Journal of Music Therapy, 46, 238–267. doi: 0022-2917-46-3-238.
 
2.
Aldaqre, I., Schuwerk, T., Daum, M. M., Sodian, B., & Paulus, M. (2016). Sensitivity to communicative and non-communicative gestures in adolescents and adults with autism spectrum disorder: saccadic and pupillary responses. Experimental Brain Research, 234, 1–13.
 
3.
Allen, R., Davis, R., & Hill, E. (2013). The effects of autism and alexithymia on physiological and verbal responsiveness to music. Journal of Autism and Developmental Disorders, 43, 432–444.
 
4.
American Educational Research Association, American Psychological Association, & National Council on Measurement in Education. (2014). Standards for educational and psychological testing. Washington, DC: American Educational Research Association.
 
5.
American Psychiatric Association. (2002). Manual diagnóstico e estatístico de transtornos mentais: texto revisado (DSM-IV-TR) [Diagnostic and Statistical Manual of Mental Disorders]. Artmed.
 
6.
Becker, M. M., Wagner, M. B., Bosa, C. A., Schmidt, C., Longo, D., Papaleo, C., & Riesgo, R. S. (2012). Translation and validation of autism diagnostic interview-revised (ADI-R) for autism diagnosis in Brazil. Arquivos de Neuro-Psiquiatria, 70, 185–190.
 
7.
Bergmann, T., & Burghardt-Distl, A. (2016). Music in diagnostics: using musical-interactional settings for diagnosing autism. Nordic Journal of Music Therapy, 25 (Suppl.), 98–99.
 
8.
Bergmann, T., Sappok, T., Diefenbacher, A., Dames, S., Heinrich, M., Ziegler, M., & Dziobek, I. (2015). Music-based autism diagnostics (MUSAD) – a newly developed diagnostic measure for adults with intellectual developmental disabilities suspected of autism. Research in Developmental Disabilities, 43, 123–135.
 
9.
Boucher, J. (2012). Research review: structural language in autistic spectrum disorder – characteristics and causes. Journal of Child Psychology and Psychiatry, 53, 219–233. doi: 10.1111/j.1469-7610.2011.02508.x.
 
10.
Brewer, R., Biotti, F., Catmur, C., Press, C., Happé, F., Cook, R., & Bird, G. (2016). Can neurotypical individuals read autistic facial expressions? Atypical production of emotional facial expressions in autism spectrum disorders. Autism Research, 9, 262–271.
 
11.
Caria, A., Venuti, P., & de Falco, S. (2011). Functional and dysfunctional brain circuits underlying emotional processing of music in autism spectrum disorders Cerebral Cortex, 21, 2838–2849.
 
12.
Carpente, J. A. (2014). Individual music-centered assessment profile for neurodevelopmental disorders (IMCAP-ND): new developments in music-centered evaluation. Music Therapy Perspectives, 32, 56–60. doi: 10.1093/mtp/miu005.
 
13.
Carpente, J., Manne, S., & Gattino, G. (2016). Validity and reliability evidence for a music therapy observational instrument for children with autism spectrum disorder. New York: American Music Therapy Association.
 
14.
Carter, E. J., Hyde, J., Williams, D. L., & Hodgins, J. K. (2016). Investigating the influence of avatar facial characteristics on the social behaviors of children with autism. In J. Kaye (ed.), Proceedings of the 2016 CHI Conference on Human Factors in Computing Systems (pp. 140–151). New York, NY, USA: ACM.
 
15.
Chugani, D. C. (2012). Neuroimaging and neurochemistry of autism. Neuroimaging and Neurochemistry of Autism, 59, 63–73.
 
16.
Conti, M. A., Scagliusi, F., Queiroz, G. K., Hearst, N., & Cordás, T. A. (2010). Adaptação transcultural: tradução e validação de conteúdo para o idioma português do modelo da Tripartite Infl uence Scale de insatisfação corporal [Cross-cultural adaptation: translation and Portuguese language content validation of the Tripartite Influence Scale for body dissatisfaction]. Cadernos de Saúde Pública do Rio de Janeiro, 26, 503–513.
 
17.
Dimitrova, N., Özçalışkan, Ş., & Adamson, L. B. (2016). Parents’ translations of child gesture facilitate word learning in children with autism, Down syndrome and typical development. Journal of Autism and Developmental Disorders, 46, 221–231.
 
18.
Diniz, D., & Corrêa, M. (2001). The Helsinki Declaration: relativism and vulnerability. Cadernos de Saúde Pública, 17, 679–688.
 
19.
DiStefano, C., & Kasari, C. (2016). The window to language is still open: distinguishing between preverbal and minimally verbal children with ASD. Perspectives of the ASHA Special Interest Groups, 1, 4–11.
 
20.
Farmer, K. J. (2016). Effect of music vs. nonmusic paired with gestures on spontaneous verbal and nonverbal communication skills of children with autism between the ages 1-5 (dissertation’s thesis). Florida State University, Florida, USA.
 
21.
Figueiredo, F. G. (2014). Musicoterapia improvisacional aplicada à comunicação pré-verbal de crianças com transtornos do espectro autista: ensaio controlado e randomizado (master’s thesis) [Improvisation Music Therapy on preverbal communication of children with autism spectrum disorder: a randomized controlled trial]. Universidade Federal do Rio Grande do Sul, Rio Grande do Sul, Brazil.
 
22.
Forgeot d’Arc, B., Delorme, R., Zalla, T., Lefebvre, A., Amsellem, F., Moukawane, S., Letellier, L., Leboyer, M., Mouren, M. C., & Ramus, F. (2016). Gaze direction detection in autism spectrum disorder. Autism (in press). doi: 10.1177/1362361316630880.
 
23.
Gattino, G. S. (2012). Musicoterapia aplicada à avaliação da comunicação não verbal de crianças com transtornos do espectro autista: revisão sistemática e estudo de validação (dissertation’s thesis) [Music therapy assessment on nonverbal communication for children with autism spectrum disorder: a systematic review and validation study]. Universidade Federal do Rio Grande do Sul, Rio Grande do Sul, Brazil.
 
24.
Gattino, G. S., Walter, F. F., & Schüler-Faccini, L. (2010). Fundamentos sobre validade para o campo musicoterapêutico [Essentials of validity for the music therapy field]. In ASBAMT (ed.), Proceedings of the X Encontro Nacional de Pesquisa em Musicoterapia [Proceedings of the X National Seminar of Research in Music Therapy] (pp. 182–190). Salvador, Bahia, Brazil: União das Associações Brasileiras de Misicoterapia.
 
25.
Geretsegger, M., Elefant, C., Mössler, K., & Gold, C. (2014). Music therapy for people with autism spectrum disorder. Cochrane Database Syst Rev, 17, CD004381. doi: 10.1002/14651858.CD004381.pub3.
 
26.
Grossi, D., Marcone, R., Cinquegrana, T., & Gallucci, M. (2012). On the differential nature of induced and incidental echolalia in autism. Journal of Intellectual Disability Research, 57, 903–912. doi: 10.1111/j.1365-2788.2012.01579.x.
 
27.
Guillemin, F., Bombardier, C., & Beaton, D. (1993). Cross-cultural adaptation of health-related quality of life measures: literature review and proposed guidelines. Journal of Clinical Epidemiology, 46, 1417–1432.
 
28.
Kasari, C., Gulsrud, A., Freeman, S., Paparella, T., & Hellemann, G. (2012). Longitudinal follow-up of children with autism receiving targeted interventions on joint attention and play. Journal of the American Academy of Child and Adolescent Psychiatry, 51, 487–495.
 
29.
Kim, J., Wigram, T., & Gold, C. (2008). The effects of improvisational music therapy on joint attention behaviors in autistic children: a randomized controlled study. Journal of Autism and Developmental Disorders, 38, 1758–1766. doi: 10.1007/s10803-008-0566-6.
 
30.
Kim, J., Wigram, T., & Gold, C. (2009). Emotional, motivational and interpersonal responsiveness of children with autism in improvisational music therapy. Autism, 13, 389–409. doi: 10.1177/1362361309105660.
 
31.
Koelsch, S. (2009). A neuroscientific perspective on music therapy. Annals of the New York Academy of Sciences, 1169, 374–384. doi: 10.1111/j.1749-6632.2009.04592.x.
 
32.
Kujala, T., Lepistö, T., & Näätänen, R. (2013). The neural basis of aberrant speech and audition in autism spectrum disorders. Neuroscience & Biobehavioral Reviews, 37, 697–704.
 
33.
Ludlow, A., Mohr, B., Whitmore, A., Garagnani, M., Pulvermüller, F., & Gutierrez, R. (2014). Auditory processing and sensory behaviours in children with autism spectrum disorders as revealed by mismatch negativity. Brain and Cognition, 86, 55–63.
 
34.
Malerbi, F. (2008). Validação do children communication checklist (CCC) e aplicação a crianças com transtorno de déficit de atenção/hiperatividade [Validation of the Children Communication Checklist and application in children with attention deficit hyperactivity disorder] (master’s thesis). Universidade de São Paulo, São Paulo, Brazil.
 
35.
Mauat, A., Gattino, G., & Riesgo, R. (2014). Validity evidences of the Individualized Music Therapy Assessment Profile (IMTAP) for ASD children (unpublished dissertation’s thesis). Universidade Federal do Rio Grande do Sul, Rio Grande do Sul, Brazil.
 
36.
Molnar‐Szakacs, I., & Heaton, P. (2012). Music: a unique window into the world of autism. Annals of the New York Academy of Sciences, 1252, 318–324.
 
37.
Mundy, P., Kim, K., McIntyre, N., Lerro, L., & Jarrold, W. (2016). Brief Report: Joint Attention and Information Processing in Children with Higher Functioning Autism Spectrum Disorders. Journal of Autism and Developmental Disorders, 46, 2555–2560. doi: 10.1007/s10803-016-2785-6.
 
38.
Murza, K. A., Schwartz, J. B., Hahs‐Vaughn, D. L., & Nye, C. (2016). Joint attention interventions for children with autism spectrum disorder: a systematic review and meta‐analysis. International Journal of Language & Communication Disorders, 51, 236–251.
 
39.
Oldfield, A. (2006). Interactive Music Therapy in Child and Family Psychiatry: Clinical Practice, Research and Teaching. London: Jessica Kingsley Publishers.
 
40.
Pell, P. J., Mareschal, I., Calder, A. J., von dem Hagen, E. A., Clifford, C. W., Baron-Cohen, S., & Ewbank, M. P. (2016). Intact priors for gaze direction in adults with high-functioning autism spectrum conditions. Molecular Autism, 7, 25.
 
41.
Pereira, A., Riesgo, R. S., & Wagner, M. B. (2008). Childhood autism: translation and validation of the Childhood Autism Rating Scale for use in Brazil. Jornal de Pediatria, 84, 487–494. doi: 10.2223/JPED.1828.
 
42.
Plahl, C. (2004). Transactional theory on an empirical ground. Dimensions of Relation in music therapy. Music Therapy Today, V.
 
43.
Plahl, C. (2007). Microanalysis of preverbal communication in music therapy. In T. Wosch & T. Wigram (eds.), Microanalysis in music therapy: methods, techniques and applications for clinicians, researchers, educators and students (pp. 41–53). London: Jessica Kinsley Publishers.
 
44.
Prelock, P. J., & Nelson, N. W. (2012). Language and communication in autism: an integrated view. Pediatric Clinics of North America, 59, 129–145.
 
45.
Samson, F., Hyde, K. L., Bertone, A., Soulières, I., Mendrek, A., Ahad, P., Mottron, L., & Zeffiro, T. A. (2011). Atypical processing of auditory temporal complexity in autistics. Neuropsychologia, 49, 546–555.
 
46.
Sperber, A. D. (2004). Translation and validation of study instruments for cross-cultural research. Gastroenterology, 126, 124–128.
 
47.
Stewart, C. R., Sanchez, S. S., Grenesko, E. L., Brown, C. M., Chen, C. P., Keehn, B., Velasquez, F., Lincoln, A. J., & Müller, R.-A. (2016). Sensory symptoms and processing of nonverbal auditory and visual stimuli in children with autism spectrum disorder. Journal of Autism and Developmental Disorders, 46, 1590–1601.
 
48.
Thorup, E., Nyström, P., Gredebäck, G., Bölte, S., & Falck-Ytter, T. (2016). Altered gaze following during live interaction in infants at risk for autism: an eye tracking study. Molecular Autism, 7, 12.
 
49.
Towle, P., Farran, D., & Confort, M. (1998). Parent–Handicapped Child Interaction Observational Coding Systems: A Review. In K. Marfo (ed.), Parent–Child Interaction and Developmental Disabilities. Theory, Research, and Intervention (pp. 293–366). New York: Praeger.
 
50.
Travers, B. G., Adluru, N., Ennis, C., Tromp do, P. M., Destiche, D., Doran, S., Bigler, E. D., Lange, N., Lainhart, J. E., & Alexander, A. L. (2012). Diffusion tensor imaging in autism spectrum disorder: a review. Autism Research, 5, 289–313. doi: 10.1002/aur.1243.
 
51.
Wan, C. Y., Demaine, K., Zipse, L., Norton, A., & Schlaug, G. (2010). From music making to speaking: engaging the mirror neuron system in autism. Brain Research Bulletin, 82, 161–168.
 
52.
Wigram, T. (2000). A method of music therapy assessment for the diagnosis of autism and communication disorders in children. Music Therapy Perspectives, 18, 13–22.
 
53.
Wigram, T. (2002). Indications in music therapy: evidence from assessment that can identify the expectations of music therapy as a treatment for autistic spectrum disorder (ASD): meeting the challenge of evidence based practice. British Journal of Music Therapy, 16, 11–28.
 
54.
Wigram, T. (2010). The religion of evidence-based practice: Helpful or harmful to health and well-being? Paper presented at the V European Music Therapy Congress, Cadiz, Spain.
 
55.
Wigram, T., & Gold, C. (2006). Music therapy in the assessment and treatment of autistic spectrum disorder: clinical application and research evidence. Child: Care, Health and Development, 32, 535–542.
 
56.
Wigram, T., & Lawrence, M. (2005). Music therapy as a tool for assessing hand use and communicativeness in children with Rett Syndrome. Brain & Development, 27 Suppl 1, 95–96. doi: 10.1016/j.braindev.2005.03.019.
 
57.
Wigram, T., Pedersen, I., & Bonde, L. (2002). A comprehensive guide to music therapy. London: Jessica Kinsley Publishers.
 
58.
Wild, D., Grove, A., Martin, M., Eremenco, S., McElroy, S., Verjee‐Lorenz, A., & Erikson, P. (2005). Principles of good practice for the translation and cultural adaptation process for patient‐reported outcomes (PRO) measures: report of the ISPOR Task Force for Translation and Cultural Adaptation. Value in Health, 8, 94–104.
 
59.
Wosch, T., & Wigram, T. (2007). Microanalysis in music therapy: methods, techniques and applications for clinicians, researchers, educators and students. London: Jessica Kingsley Publishers.
 
60.
Woynaroski, T., Watson, L., Gardner, E., Newsom, C. R., Keceli-Kaysili, B., & Yoder, P. J. (2016). Early Predictors of Growth in Diversity of Key Consonants Used in Communication in Initially Preverbal Children with Autism Spectrum Disorder. Journal of Autism and Developmental Disorders, 46, 1013–1024.
 
Copyright: © Institute of Psychology, University of Gdansk This is an Open Access journal, all articles are distributed under the terms of the Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0) License (https://creativecommons.org/licenses/by-nc-sa/4.0/), allowing third parties to copy and redistribute the material in any medium or format and to remix, transform, and build upon the material, provided the original work is properly cited and states its license.
eISSN:2353-5571
ISSN:2353-4184
Journals System - logo
Scroll to top