parental recall
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2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Nachum Sicherman ◽  
Jimmy Charite ◽  
Gil Eyal ◽  
Magdalena Janecka ◽  
George Loewenstein ◽  
...  

Abstract Background The objective of this study is to gain new insights into the relationship between clinical signs and age at diagnosis. Method We utilize a new, large, online survey of 1743 parents of children diagnosed with ASD, and use multiple statistical approaches. These include regression analysis, factor analysis, and machine learning (regression tree). Results We find that clinical signs that most strongly predict early diagnosis are not necessarily specific to autism, but rather those that initiate the process that eventually leads to an ASD diagnosis. Given the high correlations between symptoms, only a few signs are found to be important in predicting early diagnosis. For several clinical signs we find that their presence and intensity are positively correlated with delayed diagnosis (e.g., tantrums and aggression). Even though our data are drawn from parents’ retrospective accounts, we provide evidence that parental recall bias and/or hindsight bias did not play a significant role in shaping our results. Conclusion In the subset of children without early deficits in communication, diagnosis is delayed, and this might be improved if more attention will be given to clinical signs that are not necessarily considered as ASD symptoms. Our findings also suggest that careful attention should be paid to children showing excessive tantrums or aggression, as these behaviors may interfere with an early ASD diagnoses.


2020 ◽  
Author(s):  
Nachum Sicherman ◽  
Jimmy Charite ◽  
Gil Eyal ◽  
Magdalena Janecka ◽  
George Loewenstein ◽  
...  

Abstract Background: The objective of this study is to gain new insights into the relationship between clinical signs and age at diagnosis. Method: We utilize a new, large, online survey of 1743 parents of children diagnosed with ASD, and use multiple statistical approaches. These include regression analysis, factor analysis, and machine learning (regression tree). Results: We find that clinical signs that most strongly predict early diagnosis are not necessarily specific to autism, but rather those that initiate the process that eventually leads to an ASD diagnosis. Given the high correlations between symptoms, only a few signs are found to be important in predicting early diagnosis. For several clinical signs we find that their presence and intensity are positively correlated with delayed diagnosis (e.g., tantrums and aggression). Even though our data are drawn from parents’ retrospective accounts, we provide evidence that parental recall bias and/or hindsight bias did not play a significant role in shaping our results. Conclusion: In the subset of children without early deficits in communication, diagnosis is delayed, and this might be improved if more attention will be given to clinical signs that are not necessarily considered as ASD symptoms. Our findings also suggest that careful attention should be paid to children showing excessive tantrums or aggression, as these behaviors may interfere with an early ASD diagnoses.


2020 ◽  
Author(s):  
Nachum Sicherman ◽  
Jimmy Charite ◽  
Gil Eyal ◽  
Magdalena Janecka ◽  
George Loewenstein ◽  
...  

Abstract Background: The objective of this study is to gain new insights into the relationship between clinical signs and age at diagnosis. Method: We utilize a new, large, online survey of parents of children diagnosed with ASD, and use multiple statistical approaches. Results: We find that clinical signs that most strongly predict early diagnosis are not necessarily specific to autism, but rather those that initiate the process that eventually leads to an ASD diagnosis. Given the high correlations between symptoms, only a few signs are found to be important in predicting early diagnosis. For several clinical signs we find that their presence and intensity are positively correlated with delayed diagnosis (e.g., tantrums and aggression). Even though our data are drawn from parents’ retrospective accounts, we provide evidence that parental recall bias and/or hindsight bias did not play a significant role in shaping our results. Conclusion: In the subset of children without early deficits in communication, diagnosis is delayed, and this might be improved if more attention will be given to clinical signs that are not necessarily considered as ASD symptoms. Our findings also suggest that careful attention should be paid to children showing excessive tantrums or aggression, as these behaviors may interfere with an early ASD diagnoses.


2020 ◽  
Vol 28 (1) ◽  
pp. 43-49
Author(s):  
Amber E. Hoek ◽  
Marna G. Bouwhuis ◽  
Juanita A. Haagsma ◽  
Claudia M.G. Keyzer – Dekker ◽  
Berdine Bakker ◽  
...  

2020 ◽  
Vol 35 (13) ◽  
pp. 908-911
Author(s):  
Xinran Maria Xiang ◽  
Daniella Miller

Many parents of children do not recall anticipatory guidance on acute seizure management, which can lead to unnecessary emergency department visits. This quality improvement project evaluated if adding a video simulation of seizure first aid improved parental recall. Parents of children with seizures were randomized to standard verbal counseling or video group, which were shown a video simulation of seizure first aid. All families also received a standardized written action plan. Eighty-three patients were randomized from July to October 2018. Overall, 53% of families who received standard counseling accurately recalled seizure first aid compared with 31% in video group (χ2 = 3.24, P = .07). Among families without baseline knowledge of seizure first aid, 43% in the standard counseling group recalled accurately compared with 16% of video group (χ2 = 4.52, P = .03). These results underscore the importance of face-to-face patient education despite the popularity of video-based media. Future Plan-Do-Study-Act cycles will include piloting a hands-on seizure first aid simulation with mannequins.


Vaccine ◽  
2018 ◽  
Vol 36 (21) ◽  
pp. 2953-2959 ◽  
Author(s):  
Ellen Rafferty ◽  
Erin Hetherington ◽  
Suzanne Tough ◽  
Shyrose Aujla ◽  
Deborah McNeil ◽  
...  

2017 ◽  
Author(s):  
Nosayaba Osazuwa-Peters ◽  
Betelihem B. Tobo ◽  
Meera Muthukrishnan ◽  
Daphne Lew ◽  
Betty Chen ◽  
...  

2015 ◽  
Vol 27 (2) ◽  
pp. 809-813 ◽  
Author(s):  
R. J. Moon ◽  
A. Lim ◽  
M. Farmer ◽  
A. Segaran ◽  
N. M. P. Clarke ◽  
...  
Keyword(s):  

2015 ◽  
Author(s):  
Rebecca Moon ◽  
Adelynn Lim ◽  
Megan Farmer ◽  
Avinash Segaran ◽  
Nicolas Clarke ◽  
...  

2015 ◽  
Vol 54 (10) ◽  
pp. 987-991 ◽  
Author(s):  
Gauri Apte ◽  
Natalie Pierre-Joseph ◽  
Jessica L. Vercruysse ◽  
Rebecca B. Perkins

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