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Assessing the validity of administrative health data for the identification of children and youth with autism spectrum disorder in Ontario / Jennifer D. BROOKS in Autism Research, 14-5 (May 2021)
[article]
Titre : Assessing the validity of administrative health data for the identification of children and youth with autism spectrum disorder in Ontario Type de document : Texte imprimé et/ou numérique Auteurs : Jennifer D. BROOKS, Auteur ; Jasleen ARNEJA, Auteur ; Longdi FU, Auteur ; Farah E. SAXENA, Auteur ; Karen TU, Auteur ; Virgiliu Bogdan PINZARU, Auteur ; Evdokia ANAGNOSTOU, Auteur ; Kirk NYLEN, Auteur ; Natasha R. SAUNDERS, Auteur ; Hong LU, Auteur ; John MCLAUGHLIN, Auteur ; Susan E. BRONSKILL, Auteur Article en page(s) : p.1037-1045 Langues : Anglais (eng) Mots-clés : Ontario administrative health data algorithm autism Index. décimale : PER Périodiques Résumé : Population-level identification of children and youth with ASD is essential for surveillance and planning for required services. The objective of this study was to develop and validate an algorithm for the identification of children and youth with ASD using administrative health data. In this retrospective validation study, we linked an electronic medical record (EMR)-based reference standard, consisting 10,000 individuals aged 1-24?years, including 112 confirmed ASD cases to Ontario administrative health data, for the testing of multiple case-finding algorithms. Sensitivity, specificity, positive predictive value (PPV), negative predictive value (NPV), and corresponding 95% confidence intervals (CI) were calculated for each algorithm. The optimal algorithm was validated in three external cohorts representing family practice, education, and specialized clinical settings. The optimal algorithm included an ASD diagnostic code for a single hospital discharge or emergency department visit or outpatient surgery, or three ASD physician billing codes in 3?years. This algorithm's sensitivity was 50.0% (95%CI 40.7-88.7%), specificity 99.6% (99.4-99.7), PPV 56.6% (46.8-66.3), and NPV 99.4% (99.3-99.6). The results of this study illustrate limitations and need for cautious interpretation when using administrative health data alone for the identification of children and youth with ASD. LAY SUMMARY: We tested algorithms (set of rules) to identify young people with ASD using routinely collected administrative health data. Even the best algorithm misses more than half of those in Ontario with ASD. To understand this better, we tested how well the algorithm worked in different settings (family practice, education, and specialized clinics). The identification of individuals with ASD at a population level is essential for planning for support services and the allocation of resources. Autism Res 2021, 14: 1037-1045. © 2021 The Authors. Autism Research published by International Society for Autism Research published by Wiley Periodicals LLC. En ligne : http://dx.doi.org/10.1002/aur.2491 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=444
in Autism Research > 14-5 (May 2021) . - p.1037-1045[article] Assessing the validity of administrative health data for the identification of children and youth with autism spectrum disorder in Ontario [Texte imprimé et/ou numérique] / Jennifer D. BROOKS, Auteur ; Jasleen ARNEJA, Auteur ; Longdi FU, Auteur ; Farah E. SAXENA, Auteur ; Karen TU, Auteur ; Virgiliu Bogdan PINZARU, Auteur ; Evdokia ANAGNOSTOU, Auteur ; Kirk NYLEN, Auteur ; Natasha R. SAUNDERS, Auteur ; Hong LU, Auteur ; John MCLAUGHLIN, Auteur ; Susan E. BRONSKILL, Auteur . - p.1037-1045.
Langues : Anglais (eng)
in Autism Research > 14-5 (May 2021) . - p.1037-1045
Mots-clés : Ontario administrative health data algorithm autism Index. décimale : PER Périodiques Résumé : Population-level identification of children and youth with ASD is essential for surveillance and planning for required services. The objective of this study was to develop and validate an algorithm for the identification of children and youth with ASD using administrative health data. In this retrospective validation study, we linked an electronic medical record (EMR)-based reference standard, consisting 10,000 individuals aged 1-24?years, including 112 confirmed ASD cases to Ontario administrative health data, for the testing of multiple case-finding algorithms. Sensitivity, specificity, positive predictive value (PPV), negative predictive value (NPV), and corresponding 95% confidence intervals (CI) were calculated for each algorithm. The optimal algorithm was validated in three external cohorts representing family practice, education, and specialized clinical settings. The optimal algorithm included an ASD diagnostic code for a single hospital discharge or emergency department visit or outpatient surgery, or three ASD physician billing codes in 3?years. This algorithm's sensitivity was 50.0% (95%CI 40.7-88.7%), specificity 99.6% (99.4-99.7), PPV 56.6% (46.8-66.3), and NPV 99.4% (99.3-99.6). The results of this study illustrate limitations and need for cautious interpretation when using administrative health data alone for the identification of children and youth with ASD. LAY SUMMARY: We tested algorithms (set of rules) to identify young people with ASD using routinely collected administrative health data. Even the best algorithm misses more than half of those in Ontario with ASD. To understand this better, we tested how well the algorithm worked in different settings (family practice, education, and specialized clinics). The identification of individuals with ASD at a population level is essential for planning for support services and the allocation of resources. Autism Res 2021, 14: 1037-1045. © 2021 The Authors. Autism Research published by International Society for Autism Research published by Wiley Periodicals LLC. En ligne : http://dx.doi.org/10.1002/aur.2491 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=444 Exploring coaching and follow-up supports in community-implemented caregiver-mediated JASPER intervention / Stephanie Y. SHIRE in Autism, 26-3 (April 2022)
[article]
Titre : Exploring coaching and follow-up supports in community-implemented caregiver-mediated JASPER intervention Type de document : Texte imprimé et/ou numérique Auteurs : Stephanie Y. SHIRE, Auteur ; Wendy SHIH, Auteur ; Terri BARRIAULT, Auteur ; Connie KASARI, Auteur Article en page(s) : p.654-665 Langues : Anglais (eng) Mots-clés : Autism Spectrum Disorder Caregivers Child Child, Preschool Follow-Up Studies Humans Mentoring Ontario Jasper autism spectrum disorders caregiver-mediated community partnered implementation interventions?psychosocial/behavioral joint engagement Index. décimale : PER Périodiques Résumé : The next step for communication interventions for young children with autism include coaching/teaching for caregivers that have been tested in university clinics and testing these interventions in real world systems with early intervention providers who serve children and families in their communities. However, there are few projects that have tested how well the intervention can be transferred to community providers and what types of progress children and caregivers make in these services. This project took place in partnership with a community early intervention agency in the province of Ontario, Canada. The agency provided government-funded public health services. The agency was funded to take part in a pilot program to try out one of four early intervention models that included coaching for caregivers and was designed to support children's social engagement, play, and communication skills. The team decided to test two ways to start the intervention: (a) begin with observation of the practitioner for 4?weeks and then start coached practice with the child and (b) start coaching immediately. The team also tested two ways to support families for 3?months after intervention: (a) group booster sessions and (b) individual visits. The practitioners delivered the intervention well (M=83%), and overall, caregivers and children made significant gains by the end of intervention in both observation?+?coaching and coaching. Attendance for follow-up boosters was variable with fewer families attending groups. More research is needed to test different strategies and roles to individualize interventions for caregivers with a range of goals and learning styles. En ligne : https://dx.doi.org/10.1177/13623613211066132 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=473
in Autism > 26-3 (April 2022) . - p.654-665[article] Exploring coaching and follow-up supports in community-implemented caregiver-mediated JASPER intervention [Texte imprimé et/ou numérique] / Stephanie Y. SHIRE, Auteur ; Wendy SHIH, Auteur ; Terri BARRIAULT, Auteur ; Connie KASARI, Auteur . - p.654-665.
Langues : Anglais (eng)
in Autism > 26-3 (April 2022) . - p.654-665
Mots-clés : Autism Spectrum Disorder Caregivers Child Child, Preschool Follow-Up Studies Humans Mentoring Ontario Jasper autism spectrum disorders caregiver-mediated community partnered implementation interventions?psychosocial/behavioral joint engagement Index. décimale : PER Périodiques Résumé : The next step for communication interventions for young children with autism include coaching/teaching for caregivers that have been tested in university clinics and testing these interventions in real world systems with early intervention providers who serve children and families in their communities. However, there are few projects that have tested how well the intervention can be transferred to community providers and what types of progress children and caregivers make in these services. This project took place in partnership with a community early intervention agency in the province of Ontario, Canada. The agency provided government-funded public health services. The agency was funded to take part in a pilot program to try out one of four early intervention models that included coaching for caregivers and was designed to support children's social engagement, play, and communication skills. The team decided to test two ways to start the intervention: (a) begin with observation of the practitioner for 4?weeks and then start coached practice with the child and (b) start coaching immediately. The team also tested two ways to support families for 3?months after intervention: (a) group booster sessions and (b) individual visits. The practitioners delivered the intervention well (M=83%), and overall, caregivers and children made significant gains by the end of intervention in both observation?+?coaching and coaching. Attendance for follow-up boosters was variable with fewer families attending groups. More research is needed to test different strategies and roles to individualize interventions for caregivers with a range of goals and learning styles. En ligne : https://dx.doi.org/10.1177/13623613211066132 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=473