Large Databases for Pediatric Research on Children with Autism Spectrum Disorder

被引:19
作者
Kuhlthau, Karen A. [1 ,2 ]
Bailey, L. Charles [3 ,4 ]
Baer, Briella L. [5 ]
Coury, Daniel L. [6 ]
Law, Kiely [5 ,7 ]
Murray, Donna S. [8 ]
Razzaghi, Hanieh [3 ,4 ]
Forrest, Christopher B. [3 ,4 ]
Lipkin, Paul H. [5 ,7 ]
机构
[1] Harvard Univ, Massachusetts Gen Hosp, Div Gen Pediat, Dept Pediat, Boston, MA 02115 USA
[2] Harvard Univ, Harvard Med Sch, Boston, MA 02115 USA
[3] Childrens Hosp Philadelphia, Appl Clin Res Ctr, Philadelphia, PA 19104 USA
[4] Univ Penn, Perelman Sch Med, Philadelphia, PA 19104 USA
[5] Kennedy Krieger Inst, Dept Med Informat, Baltimore, MD USA
[6] Ohio State Univ, Dept Pediat, Nationwide Childrens Hosp, Dev & Behav Pediat, Columbus, OH 43210 USA
[7] Johns Hopkins Med, Dept Pediat, Baltimore, MD USA
[8] Cincinnati Childrens Hosp, Autism Speaks, Dept Sci, Div Dev & Behav Pediat, Boston, MA USA
关键词
autism; database; epidemilogy; INTERVENTION RESEARCH NETWORK; LEARNING HEALTH SYSTEM; PHYSICAL HEALTH; REGISTRY; PEDSNET; SLEEP;
D O I
10.1097/DBP.0000000000000534
中图分类号
B84 [心理学]; C [社会科学总论]; Q98 [人类学];
学科分类号
03 ; 0303 ; 030303 ; 04 ; 0402 ;
摘要
Objective: This article reviews the data available in 3 large databases for use in conducting studies of children with autism spectrum disorder (ASD). Methods: The article describes the data structure, data elements, and strengths and weaknesses of the 3 data sets. Results: Each of the 3 data sets, the Interactive Autism Network (IAN), the Autism Treatment Network (ATN), and PEDSnet have large cohorts of children with ASD. IAN has strengths in patient-reported measures, ATN in clinical characterization, and PEDSnet in health care encounters and electronic medical record data. Conclusion: The data sets described here have potential for further studies that could help improve the care and well-being of children with ASD and their families.
引用
收藏
页码:168 / 176
页数:9
相关论文
共 26 条
[1]  
Anderson C., 2012, IAN RES REPORT BULLY
[2]   Occurrence and Family Impact of Elopement in Children With Autism Spectrum Disorders [J].
Anderson, Connie ;
Law, J. Kiely ;
Daniels, Amy ;
Rice, Catherine ;
Mandell, David S. ;
Hagopian, Louis ;
Law, Paul A. .
PEDIATRICS, 2012, 130 (05) :870-877
[3]   Optimizing the Leveraging of Real-World Data to Improve the Development and Use of Medicines [J].
Berger, Marc L. ;
Lipset, Craig ;
Gutteridge, Alex ;
Axelsen, Kirsten ;
Subedi, Prasun ;
Madigan, David .
VALUE IN HEALTH, 2015, 18 (01) :127-130
[4]   Autism recurrence in half siblings: strong support for genetic mechanisms of transmission in ASD [J].
Constantino, J. N. ;
Todorov, A. ;
Hilton, C. ;
Law, P. ;
Zhang, Y. ;
Molloy, E. ;
Fitzgerald, R. ;
Geschwind, D. .
MOLECULAR PSYCHIATRY, 2013, 18 (02) :137-138
[5]  
Constantino JN, 2005, Social Responsiveness Scale: manual
[6]   Gastrointestinal Conditions in Children With Autism Spectrum Disorder: Developing a Research Agenda [J].
Coury, Daniel L. ;
Ashwood, Paul ;
Fasano, Alessio ;
Fuchs, George ;
Geraghty, Maureen ;
Kaul, Ajay ;
Mawe, Gary ;
Patterson, Paul ;
Jones, Nancy E. .
PEDIATRICS, 2012, 130 :S160-S168
[7]   "Big Data" Versus "Big Brother": On the Appropriate Use of Large-scale Data Collections in Pediatrics [J].
Currie, Janet .
PEDIATRICS, 2013, 131 :S127-S132
[8]   Verification of Parent-Report of Child Autism Spectrum Disorder Diagnosis to a Web-Based Autism Registry [J].
Daniels, Amy M. ;
Rosenberg, Rebecca E. ;
Anderson, Connie ;
Law, J. Kiely ;
Marvin, Alison R. ;
Law, Paul A. .
JOURNAL OF AUTISM AND DEVELOPMENTAL DISORDERS, 2012, 42 (02) :257-265
[9]   PEDSnet: How A Prototype Pediatric Learning Health System Is Being Expanded Into A National Network [J].
Forrest, Christopher B. ;
Margolis, Peter ;
Seid, Michael ;
Colletti, Richard B. .
HEALTH AFFAIRS, 2014, 33 (07) :1171-1177
[10]   PEDSnet: a National Pediatric Learning Health System [J].
Forrest, Christopher B. ;
Margolis, Peter A. ;
Bailey, L. Charles ;
Marsolo, Keith ;
Del Beccaro, Mark A. ;
Finkelstein, Jonathan A. ;
Milov, David E. ;
Vieland, Veronica J. ;
Wolf, Bryan A. ;
Yu, Feliciano B. ;
Kahn, Michael G. .
JOURNAL OF THE AMERICAN MEDICAL INFORMATICS ASSOCIATION, 2014, 21 (04) :602-606