Literature DB >> 26448791

Computer Decision Support Changes Physician Practice But Not Knowledge Regarding Autism Spectrum Disorders.

N S Bauer1, A E Carroll2, C Saha3, S M Downs1.   

Abstract

OBJECTIVE: To examine whether adding an autism module promoting adherence to clinical guidelines to an existing computer decision support system (CDSS) changed physician knowledge and self-reported clinical practice.
METHODS: The CHICA (Child Health Improvement through Computer Automation) system, a CDSS, was enhanced with a module to improve management of autism in 2 of the 4 community pediatric clinics using the system. We examined the knowledge and beliefs of pediatric users using cross-sectional surveys administered at 3 time points (baseline, 12 months and 24 months post-implementation) between November 2010 and January 2013. Surveys measured knowledge, beliefs and self-reported practice patterns related to autism.
RESULTS: A total of 45, 39, and 42 pediatricians responded at each time point, respectively, a 95-100% response rate. Respondents' knowledge of autism and perception of role for diagnosis did not vary between control and intervention groups either at baseline or any of the two post-intervention time points. At baseline, there was no difference between these groups in rates in the routine use of parent-rated screening instruments for autism. However, by 12 and 24 months post-implementation there was a significant difference between intervention and control clinics in terms of the intervention clinics consistently screening eligible patients with a validated autism tool. Physicians at all clinics reported ongoing challenges to community resources for further work-up and treatment related to autism.
CONCLUSIONS: A CDSS module to improve primary care management of ASD in pediatric practice led to significant improvements in physician-reported use of validated screening tools to screen for ASDs. However it did not lead to corresponding changes in physician knowledge or attitudes.

Entities:  

Keywords:  autism spectrum disorder; clinical guidelines; computer-based decision support; pediatrics; primary care; screening

Mesh:

Year:  2015        PMID: 26448791      PMCID: PMC4586335          DOI: 10.4338/ACI-2014-09-RA-0084

Source DB:  PubMed          Journal:  Appl Clin Inform        ISSN: 1869-0327            Impact factor:   2.342


  46 in total

1.  Drowning in a sea of advice: pediatricians and American Academy of Pediatrics policy statements.

Authors:  Peter F Belamarich; Rachelle Gandica; Ruth E K Stein; Andrew D Racine
Journal:  Pediatrics       Date:  2006-10       Impact factor: 7.124

2.  Autism spectrum disorder screening and management practices among general pediatric providers.

Authors:  Susan Dosreis; Courtney L Weiner; Lakeshia Johnson; Craig J Newschaffer
Journal:  J Dev Behav Pediatr       Date:  2006-04       Impact factor: 2.225

3.  A randomized controlled trial of screening for maternal depression with a clinical decision support system.

Authors:  Aaron E Carroll; Paul Biondich; Vibha Anand; Tamara M Dugan; Stephen M Downs
Journal:  J Am Med Inform Assoc       Date:  2012-06-28       Impact factor: 4.497

4.  Using computerized clinical decision support for latent tuberculosis infection screening.

Authors:  Andy W Steele; Sheri Eisert; Art Davidson; Taylor Sandison; Pat Lyons; Nedra Garrett; Patricia Gabow; Eduardo Ortiz
Journal:  Am J Prev Med       Date:  2005-04       Impact factor: 5.043

5.  Use of a computerized decision aid for ADHD diagnosis: a randomized controlled trial.

Authors:  Aaron E Carroll; Nerissa S Bauer; Tamara M Dugan; Vibha Anand; Chandan Saha; Stephen M Downs
Journal:  Pediatrics       Date:  2013-08-19       Impact factor: 7.124

6.  Automated primary care screening in pediatric waiting rooms.

Authors:  Vibha Anand; Aaron E Carroll; Stephen M Downs
Journal:  Pediatrics       Date:  2012-04-16       Impact factor: 7.124

7.  Prevalence of autism spectrum disorders--Autism and Developmental Disabilities Monitoring Network, 14 sites, United States, 2008.

Authors: 
Journal:  MMWR Surveill Summ       Date:  2012-03-30

8.  Large-scale use of the modified checklist for autism in low-risk toddlers.

Authors:  Colby Chlebowski; Diana L Robins; Marianne L Barton; Deborah Fein
Journal:  Pediatrics       Date:  2013-03-25       Impact factor: 7.124

9.  Use of artificial intelligence to shorten the behavioral diagnosis of autism.

Authors:  Dennis P Wall; Rebecca Dally; Rhiannon Luyster; Jae-Yoon Jung; Todd F Deluca
Journal:  PLoS One       Date:  2012-08-27       Impact factor: 3.240

10.  Use of machine learning to shorten observation-based screening and diagnosis of autism.

Authors:  D P Wall; J Kosmicki; T F Deluca; E Harstad; V A Fusaro
Journal:  Transl Psychiatry       Date:  2012-04-10       Impact factor: 6.222

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  4 in total

1.  The Quality of Care for Australian Children with Autism Spectrum Disorders.

Authors:  K Churruca; L A Ellis; J C Long; C Pomare; L K Wiles; G Arnolda; H P Ting; S Woolfenden; V Sarkozy; C de Wet; P Hibbert; J Braithwaite
Journal:  J Autism Dev Disord       Date:  2019-12

2.  Effect of a Computer-Based Decision Support Intervention on Autism Spectrum Disorder Screening in Pediatric Primary Care Clinics: A Cluster Randomized Clinical Trial.

Authors:  Stephen M Downs; Nerissa S Bauer; Chandan Saha; Susan Ofner; Aaron E Carroll
Journal:  JAMA Netw Open       Date:  2019-12-02

Review 3.  Information and Communication Technologies to Support Early Screening of Autism Spectrum Disorder: A Systematic Review.

Authors:  Lorenzo Desideri; Patricia Pérez-Fuster; Gerardo Herrera
Journal:  Children (Basel)       Date:  2021-02-01

Review 4.  Tools for early screening of autism spectrum disorders in primary health care - a scoping review.

Authors:  Mateusz Sobieski; Aleksandra Sobieska; Małgorzata Sekułowicz; Maria Magdalena Bujnowska-Fedak
Journal:  BMC Prim Care       Date:  2022-03-15
  4 in total

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