[article]
| Titre : |
What are we optimizing for in autism screening? Examination of algorithmic changes in the M-CHAT |
| Type de document : |
texte imprimé |
| Auteurs : |
Synnve SCHJØLBERG, Auteur ; Frederick SHIC, Auteur ; Fred R. VOLKMAR, Auteur ; Anders NORDAHL-HANSEN, Auteur ; Nina STENBERG, Auteur ; Tonje TORSKE, Auteur ; Kenneth LARSEN, Auteur ; Katherine RILEY, Auteur ; Denis G. SUKHODOLSKY, Auteur ; James F. LECKMAN, Auteur ; Katarzyna CHAWARSKA, Auteur ; Roald A. ØIEN, Auteur |
| Article en page(s) : |
p.296-304 |
| Langues : |
Anglais (eng) |
| Mots-clés : |
children early detection psychometrics (includes financial disclosures): None |
| Index. décimale : |
PER Périodiques |
| Résumé : |
The present study objectives were to examine the performance of the new M-CHAT-R algorithm to the original M-CHAT algorithm. The main purpose was to examine if the algorithmic changes increase identification of children later diagnosed with ASD, and to examine if there is a trade-off when changing algorithms. We included 54,463 screened cases from the Norwegian Mother and Child Cohort Study. Children were screened using the 23 items of the M-CHAT at 18 months. Further, the performance of the M-CHAT-R algorithm was compared to the M-CHAT algorithm on the 23-items. In total, 337 individuals were later diagnosed with ASD. Using M-CHAT-R algorithm decreased the number of correctly identified ASD children by 12 compared to M-CHAT, with no children with ASD screening negative on the M-CHAT criteria subsequently screening positive utilizing the M-CHAT-R algorithm. A nonparametric McNemar's test determined a statistically significant difference in identifying ASD utilizing the M-CHAT-R algorithm. The present study examined the application of 20-item MCHAT-R scoring criterion to the 23-item MCHAT. We found that this resulted in decreased sensitivity and increased specificity for identifying children with ASD, which is a trade-off that needs further investigation in terms of cost-effectiveness. However, further research is needed to optimize screening for ASD in the early developmental period to increase identification of false negatives. |
| En ligne : |
http://dx.doi.org/10.1002/aur.2643 |
| Permalink : |
https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=450 |
in Autism Research > 15-2 (February 2022) . - p.296-304
[article] What are we optimizing for in autism screening? Examination of algorithmic changes in the M-CHAT [texte imprimé] / Synnve SCHJØLBERG, Auteur ; Frederick SHIC, Auteur ; Fred R. VOLKMAR, Auteur ; Anders NORDAHL-HANSEN, Auteur ; Nina STENBERG, Auteur ; Tonje TORSKE, Auteur ; Kenneth LARSEN, Auteur ; Katherine RILEY, Auteur ; Denis G. SUKHODOLSKY, Auteur ; James F. LECKMAN, Auteur ; Katarzyna CHAWARSKA, Auteur ; Roald A. ØIEN, Auteur . - p.296-304. Langues : Anglais ( eng) in Autism Research > 15-2 (February 2022) . - p.296-304
| Mots-clés : |
children early detection psychometrics (includes financial disclosures): None |
| Index. décimale : |
PER Périodiques |
| Résumé : |
The present study objectives were to examine the performance of the new M-CHAT-R algorithm to the original M-CHAT algorithm. The main purpose was to examine if the algorithmic changes increase identification of children later diagnosed with ASD, and to examine if there is a trade-off when changing algorithms. We included 54,463 screened cases from the Norwegian Mother and Child Cohort Study. Children were screened using the 23 items of the M-CHAT at 18 months. Further, the performance of the M-CHAT-R algorithm was compared to the M-CHAT algorithm on the 23-items. In total, 337 individuals were later diagnosed with ASD. Using M-CHAT-R algorithm decreased the number of correctly identified ASD children by 12 compared to M-CHAT, with no children with ASD screening negative on the M-CHAT criteria subsequently screening positive utilizing the M-CHAT-R algorithm. A nonparametric McNemar's test determined a statistically significant difference in identifying ASD utilizing the M-CHAT-R algorithm. The present study examined the application of 20-item MCHAT-R scoring criterion to the 23-item MCHAT. We found that this resulted in decreased sensitivity and increased specificity for identifying children with ASD, which is a trade-off that needs further investigation in terms of cost-effectiveness. However, further research is needed to optimize screening for ASD in the early developmental period to increase identification of false negatives. |
| En ligne : |
http://dx.doi.org/10.1002/aur.2643 |
| Permalink : |
https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=450 |
|  |
What are we optimizing for in autism screening? Examination of algorithmic changes in the M-CHAT in Autism Research, 15-2 (February 2022)
