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MEMO: an mHealth intervention to prevent the onset of depression in adolescents: a double-blind, randomised, placebo-controlled trial / Robyn WHITTAKER in Journal of Child Psychology and Psychiatry, 58-9 (September 2017)
[article]
Titre : MEMO: an mHealth intervention to prevent the onset of depression in adolescents: a double-blind, randomised, placebo-controlled trial Type de document : Texte imprimé et/ou numérique Auteurs : Robyn WHITTAKER, Auteur ; Karolina STASIAK, Auteur ; Heather MCDOWELL, Auteur ; Iain DOHERTY, Auteur ; Matthew SHEPHERD, Auteur ; Shireen CHUA, Auteur ; Enid DOREY, Auteur ; Varsha PARAG, Auteur ; Shanthi AMERATUNGA, Auteur ; Anthony RODGERS, Auteur ; Sally MERRY, Auteur Article en page(s) : p.1014-1022 Langues : Anglais (eng) Mots-clés : mHealth depression prevention adolescence Index. décimale : PER Périodiques Résumé : Background Depression often starts in adolescence making it an ideal time to intervene. We developed a universal cognitive behavioural therapy-based programme (MEMO CBT) to be delivered via multimedia mobile phone messages for teens. Methods We conducted a prospective multicentre, randomised, placebo-controlled superiority trial in 15 high schools in Auckland, New Zealand, comparing MEMO CBT with a control programme [MEMO control] matched for intensity and type of message but with alternative content not targeting depression. The primary outcome was the change in score on the Children's Depression Rating Scale-Revised from baseline to 12 months. Secondary outcomes included the change in scores in the self-reported Reynold's Adolescent Depression Rating Scale-Second Edition, the Moods and Feelings Questionnaire, suicidal ideation using selected items from the Youth Risk Behaviour Survey, the Pediatric Quality of Life questionnaire, 12-month period prevalence of the diagnosis of depressive disorder using the Kiddie-Schedule for Affective Disorders and Schizophrenia, and students' ratings of their satisfaction with the programme. Results Eight hundred and fifty-five students (13–17 years old, mean 14.3 years) were randomly assigned to MEMO CBT (426) or to MEMO Control (429). Participants (68% female) had a mean CDRS-R at baseline of 21.5 (SD: 5). Overall 394 (93%) from the intervention group and 392 (91%) from the control group were followed up at 12 months. At the end of the intervention (approximately 9 weeks) the mean CDRS-R scores were 20.8 in the intervention group versus 20.4 in the control group, and at 12 months they were 22.4 versus 22.4 (p value for difference in change from baseline = 0.3). There was no obvious association between the amount of the intervention viewed by participants and outcomes. Conclusions There was no evidence of benefit from the mobile phone CBT intervention compared with a control programme. Universal depression prevention remains a challenge. En ligne : http://dx.doi.org/10.1111/jcpp.12753 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=317
in Journal of Child Psychology and Psychiatry > 58-9 (September 2017) . - p.1014-1022[article] MEMO: an mHealth intervention to prevent the onset of depression in adolescents: a double-blind, randomised, placebo-controlled trial [Texte imprimé et/ou numérique] / Robyn WHITTAKER, Auteur ; Karolina STASIAK, Auteur ; Heather MCDOWELL, Auteur ; Iain DOHERTY, Auteur ; Matthew SHEPHERD, Auteur ; Shireen CHUA, Auteur ; Enid DOREY, Auteur ; Varsha PARAG, Auteur ; Shanthi AMERATUNGA, Auteur ; Anthony RODGERS, Auteur ; Sally MERRY, Auteur . - p.1014-1022.
Langues : Anglais (eng)
in Journal of Child Psychology and Psychiatry > 58-9 (September 2017) . - p.1014-1022
Mots-clés : mHealth depression prevention adolescence Index. décimale : PER Périodiques Résumé : Background Depression often starts in adolescence making it an ideal time to intervene. We developed a universal cognitive behavioural therapy-based programme (MEMO CBT) to be delivered via multimedia mobile phone messages for teens. Methods We conducted a prospective multicentre, randomised, placebo-controlled superiority trial in 15 high schools in Auckland, New Zealand, comparing MEMO CBT with a control programme [MEMO control] matched for intensity and type of message but with alternative content not targeting depression. The primary outcome was the change in score on the Children's Depression Rating Scale-Revised from baseline to 12 months. Secondary outcomes included the change in scores in the self-reported Reynold's Adolescent Depression Rating Scale-Second Edition, the Moods and Feelings Questionnaire, suicidal ideation using selected items from the Youth Risk Behaviour Survey, the Pediatric Quality of Life questionnaire, 12-month period prevalence of the diagnosis of depressive disorder using the Kiddie-Schedule for Affective Disorders and Schizophrenia, and students' ratings of their satisfaction with the programme. Results Eight hundred and fifty-five students (13–17 years old, mean 14.3 years) were randomly assigned to MEMO CBT (426) or to MEMO Control (429). Participants (68% female) had a mean CDRS-R at baseline of 21.5 (SD: 5). Overall 394 (93%) from the intervention group and 392 (91%) from the control group were followed up at 12 months. At the end of the intervention (approximately 9 weeks) the mean CDRS-R scores were 20.8 in the intervention group versus 20.4 in the control group, and at 12 months they were 22.4 versus 22.4 (p value for difference in change from baseline = 0.3). There was no obvious association between the amount of the intervention viewed by participants and outcomes. Conclusions There was no evidence of benefit from the mobile phone CBT intervention compared with a control programme. Universal depression prevention remains a challenge. En ligne : http://dx.doi.org/10.1111/jcpp.12753 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=317 Digital tools for direct assessment of autism risk during early childhood: A systematic review / Supriya BHAVNANI ; Georgia LOCKWOOD ESTRIN ; Vaisnavi RAO ; Jayashree DASGUPTA ; Hiba IRFAN ; Bhismadev CHAKRABARTI ; Vikram PATEL ; Matthew K. BELMONTE in Autism, 28-1 (January 2024)
[article]
Titre : Digital tools for direct assessment of autism risk during early childhood: A systematic review Type de document : Texte imprimé et/ou numérique Auteurs : Supriya BHAVNANI, Auteur ; Georgia LOCKWOOD ESTRIN, Auteur ; Vaisnavi RAO, Auteur ; Jayashree DASGUPTA, Auteur ; Hiba IRFAN, Auteur ; Bhismadev CHAKRABARTI, Auteur ; Vikram PATEL, Auteur ; Matthew K. BELMONTE, Auteur Article en page(s) : p.6?31 Mots-clés : ASD assessments computer digital gamified low-resource mHealth scalable smartphone tablet virtual reality Index. décimale : PER Périodiques Résumé : Current challenges in early identification of autism spectrum disorder lead to significant delays in starting interventions, thereby compromising outcomes. Digital tools can potentially address this barrier as they are accessible, can measure autism-relevant phenotypes and can be administered in children?s natural environments by non-specialists. The purpose of this systematic review is to identify and characterise potentially scalable digital tools for direct assessment of autism spectrum disorder risk in early childhood. In total, 51,953 titles, 6884 abstracts and 567 full-text articles from four databases were screened using predefined criteria. Of these, 38 met inclusion criteria. Tasks are presented on both portable and non-portable technologies, typically by researchers in laboratory or clinic settings. Gamified tasks, virtual-reality platforms and automated analysis of video or audio recordings of children?s behaviours and speech are used to assess autism spectrum disorder risk. Tasks tapping social communication/interaction and motor domains most reliably discriminate between autism spectrum disorder and typically developing groups. Digital tools employing objective data collection and analysis methods hold immense potential for early identification of autism spectrum disorder risk. Next steps should be to further validate these tools, evaluate their generalisability outside laboratory or clinic settings, and standardise derived measures across tasks. Furthermore, stakeholders from underserved communities should be involved in the research and development process. Lay abstract The challenge of finding autistic children, and finding them early enough to make a difference for them and their families, becomes all the greater in parts of the world where human and material resources are in short supply. Poverty of resources delays interventions, translating into a poverty of outcomes. Digital tools carry potential to lessen this delay because they can be administered by non-specialists in children?s homes, schools or other everyday environments, they can measure a wide range of autistic behaviours objectively and they can automate analysis without requiring an expert in computers or statistics. This literature review aimed to identify and describe digital tools for screening children who may be at risk for autism. These tools are predominantly at the ?proof-of-concept? stage. Both portable (laptops, mobile phones, smart toys) and fixed (desktop computers, virtual-reality platforms) technologies are used to present computerised games, or to record children?s behaviours or speech. Computerised analysis of children?s interactions with these technologies differentiates children with and without autism, with promising results. Tasks assessing social responses and hand and body movements are the most reliable in distinguishing autistic from typically developing children. Such digital tools hold immense potential for early identification of autism spectrum disorder risk at a large scale. Next steps should be to further validate these tools and to evaluate their applicability in a variety of settings. Crucially, stakeholders from underserved communities globally must be involved in this research, lest it fail to capture the issues that these stakeholders are facing. En ligne : https://dx.doi.org/10.1177/13623613221133176 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=519
in Autism > 28-1 (January 2024) . - p.6?31[article] Digital tools for direct assessment of autism risk during early childhood: A systematic review [Texte imprimé et/ou numérique] / Supriya BHAVNANI, Auteur ; Georgia LOCKWOOD ESTRIN, Auteur ; Vaisnavi RAO, Auteur ; Jayashree DASGUPTA, Auteur ; Hiba IRFAN, Auteur ; Bhismadev CHAKRABARTI, Auteur ; Vikram PATEL, Auteur ; Matthew K. BELMONTE, Auteur . - p.6?31.
in Autism > 28-1 (January 2024) . - p.6?31
Mots-clés : ASD assessments computer digital gamified low-resource mHealth scalable smartphone tablet virtual reality Index. décimale : PER Périodiques Résumé : Current challenges in early identification of autism spectrum disorder lead to significant delays in starting interventions, thereby compromising outcomes. Digital tools can potentially address this barrier as they are accessible, can measure autism-relevant phenotypes and can be administered in children?s natural environments by non-specialists. The purpose of this systematic review is to identify and characterise potentially scalable digital tools for direct assessment of autism spectrum disorder risk in early childhood. In total, 51,953 titles, 6884 abstracts and 567 full-text articles from four databases were screened using predefined criteria. Of these, 38 met inclusion criteria. Tasks are presented on both portable and non-portable technologies, typically by researchers in laboratory or clinic settings. Gamified tasks, virtual-reality platforms and automated analysis of video or audio recordings of children?s behaviours and speech are used to assess autism spectrum disorder risk. Tasks tapping social communication/interaction and motor domains most reliably discriminate between autism spectrum disorder and typically developing groups. Digital tools employing objective data collection and analysis methods hold immense potential for early identification of autism spectrum disorder risk. Next steps should be to further validate these tools, evaluate their generalisability outside laboratory or clinic settings, and standardise derived measures across tasks. Furthermore, stakeholders from underserved communities should be involved in the research and development process. Lay abstract The challenge of finding autistic children, and finding them early enough to make a difference for them and their families, becomes all the greater in parts of the world where human and material resources are in short supply. Poverty of resources delays interventions, translating into a poverty of outcomes. Digital tools carry potential to lessen this delay because they can be administered by non-specialists in children?s homes, schools or other everyday environments, they can measure a wide range of autistic behaviours objectively and they can automate analysis without requiring an expert in computers or statistics. This literature review aimed to identify and describe digital tools for screening children who may be at risk for autism. These tools are predominantly at the ?proof-of-concept? stage. Both portable (laptops, mobile phones, smart toys) and fixed (desktop computers, virtual-reality platforms) technologies are used to present computerised games, or to record children?s behaviours or speech. Computerised analysis of children?s interactions with these technologies differentiates children with and without autism, with promising results. Tasks assessing social responses and hand and body movements are the most reliable in distinguishing autistic from typically developing children. Such digital tools hold immense potential for early identification of autism spectrum disorder risk at a large scale. Next steps should be to further validate these tools and to evaluate their applicability in a variety of settings. Crucially, stakeholders from underserved communities globally must be involved in this research, lest it fail to capture the issues that these stakeholders are facing. En ligne : https://dx.doi.org/10.1177/13623613221133176 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=519