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AHRQ Research Studies Date
Topics
- Autism (1)
- Behavioral Health (1)
- Care Management (1)
- (-) Children/Adolescents (11)
- (-) Clinical Decision Support (CDS) (11)
- Depression (1)
- Diagnostic Safety and Quality (1)
- Ear Infections (1)
- Electronic Health Records (EHRs) (4)
- Health Information Technology (HIT) (9)
- Obesity (2)
- Obesity: Weight Management (1)
- Practice Patterns (2)
- Primary Care (5)
- Quality Improvement (1)
- Screening (1)
- Shared Decision Making (3)
AHRQ Research Studies
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Research Studies is a compilation of published research articles funded by AHRQ or authored by AHRQ researchers.
Results
1 to 11 of 11 Research Studies DisplayedAnand V, Carroll AE, Biondich PG
Pediatric decision support using adapted Arden Syntax.
This study reviewed the use of a medical logic module (MLM) called the Arden Syntax in pediatrics. The Arden Syntax was adapted for the Child Health Improvement through Computer Automation System (CHICA) in waiting rooms. This system is used in pediatrician’s offices to screen patient families and alert physicians during office visits. It has been used in 7 pediatric clinics and has served over 44,000 patients in the last decade. The researchers concluded that it is an effective system for use in routine care and only needs some minor modifications.
AHRQ-funded; HS017939; HS018453.
Citation: Anand V, Carroll AE, Biondich PG .
Pediatric decision support using adapted Arden Syntax.
Artif Intell Med 2018 Nov;92:15-23. doi: 10.1016/j.artmed.2015.09.006..
Keywords: Children/Adolescents, Clinical Decision Support (CDS), Health Information Technology (HIT)
Etter DJ, McCord A, Ouyang F
Suicide screening in primary care: use of an electronic screener to assess suicidality and improve provider follow-up for adolescents.
The purpose of this study was to assess the feasibility of using an existing computer decision support system to screen adolescent patients for suicidality and provide follow-up guidance to clinicians in a primary care setting. The authors concluded that incorporating adolescent suicide screening and provider follow-up guidance into an existing computer decision support system in primary care was feasible and well utilized by providers.
AHRQ-funded; HS022681.
Citation: Etter DJ, McCord A, Ouyang F .
Suicide screening in primary care: use of an electronic screener to assess suicidality and improve provider follow-up for adolescents.
J Adolesc Health 2018 Feb;62(2):191-97. doi: 10.1016/j.jadohealth.2017.08.026..
Keywords: Children/Adolescents, Clinical Decision Support (CDS), Shared Decision Making, Depression, Behavioral Health, Primary Care, Screening
Dugan TM, Mukhopadhyay S, Carroll A
Machine learning techniques for prediction of early childhood obesity.
This study aimed to predict childhood obesity after age two, using only data collected prior to the second birthday by a clinical decision support system called CHICA. It demonstrated that data from a production clinical decision support system can be used to build an accurate machine learning model to predict obesity in children after age two.
AHRQ-funded; HS020640; HS018453; HS017939.
Citation: Dugan TM, Mukhopadhyay S, Carroll A .
Machine learning techniques for prediction of early childhood obesity.
Appl Clin Inform 2015 Aug 12;6(3):506-20. doi: 10.4338/aci-2015-03-ra-0036.
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Keywords: Children/Adolescents, Obesity, Health Information Technology (HIT), Clinical Decision Support (CDS), Children/Adolescents
Bauer NS, Carroll AE, Saha C
Computer decision support changes physician practice but not knowledge regarding autism spectrum disorders.
This study examined 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. It found that 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.
AHRQ-funded; HS018453.
Citation: Bauer NS, Carroll AE, Saha C .
Computer decision support changes physician practice but not knowledge regarding autism spectrum disorders.
Appl Clin Inform 2015;6(3):454-65. doi: 10.4338/aci-2014-09-ra-0084.
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Keywords: Health Information Technology (HIT), Practice Patterns, Clinical Decision Support (CDS), Children/Adolescents, Autism
Fiks AG, Zhang P, Localio AR
Adoption of electronic medical record-based decision support for otitis media in children.
The authors characterized adoption of an otitis media clinical decision support (CDS) system, the impact of performance feedback on adoption, and the effects of adoption on guideline adherence. The performance feedback increased CDS adoption, but additional strategies are needed to integrate CDS into primary care workflows.
AHRQ-funded; HS017042
Citation: Fiks AG, Zhang P, Localio AR .
Adoption of electronic medical record-based decision support for otitis media in children.
Health Serv Res. 2015 Apr;50(2):489-513. doi: 10.1111/1475-6773.12240..
Keywords: Children/Adolescents, Clinical Decision Support (CDS), Ear Infections, Electronic Health Records (EHRs), Health Information Technology (HIT)
Hendrix KS, Downs SM, Carroll AE
Pediatricians' responses to printed clinical reminders: does highlighting prompts improve responsiveness?
The authors tested whether selectively highlighting clinical decision support prompts in yellow would improve physicians' responsiveness. They found that highlighting reminder prompts did not increase physicians' responsiveness. They suggested possible explanations and offer alternative strategies to increasing physician responsiveness to prompts.
AHRQ-funded; HS020640; HS018453; HS017939.
Citation: Hendrix KS, Downs SM, Carroll AE .
Pediatricians' responses to printed clinical reminders: does highlighting prompts improve responsiveness?
Acad Pediatr 2015 Mar-Apr;15(2):158-64. doi: 10.1016/j.acap.2014.10.009.
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Keywords: Clinical Decision Support (CDS), Children/Adolescents, Primary Care, Practice Patterns, Quality Improvement
Shaikh U, Berrong J, Nettiksimmons J
Impact of electronic health record clinical decision support on the management of pediatric obesity.
The investigators assessed the impact of electronic health record-based clinical decision support in improving the diagnosis and management of pediatric obesity. They found a statistically significant increase in the diagnosis of overweight/obesity, scheduling of follow-up appointments, frequency of ordering recommended laboratory investigations, and assessment and counseling for nutrition and physical activity.
AHRQ-funded; HS018567.
Citation: Shaikh U, Berrong J, Nettiksimmons J .
Impact of electronic health record clinical decision support on the management of pediatric obesity.
Am J Med Qual 2015 Jan-Feb;30(1):72-80. doi: 10.1177/1062860613517926.
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Keywords: Care Management, Children/Adolescents, Clinical Decision Support (CDS), Diagnostic Safety and Quality, Electronic Health Records (EHRs), Health Information Technology (HIT), Obesity, Obesity: Weight Management
Gilbert AL, Downs SM
Medical legal partnership and health informatics impacting child health: interprofessional innovations.
This article describes the interprofessional nature of the Medical Legal Partnership ( MLP) model itself, illustrates the work that was done to craft this innovative health informatics approach to implementing MLP, and demonstrates how pediatricians social workers and attorneys may work together to improve child health outcomes.
AHRQ-funded; HS020640.
Citation: Gilbert AL, Downs SM .
Medical legal partnership and health informatics impacting child health: interprofessional innovations.
J Interprof Care 2015;29(6):564-9. doi: 10.3109/13561820.2015.1029066..
Keywords: Health Information Technology (HIT), Children/Adolescents, Clinical Decision Support (CDS)
Carroll AE, Bauer NS, Dugan TM
Use of a computerized decision aid for developmental surveillance and screening: a randomized clinical trial.
A study to determine whether a computerized clinical decision support system is an effective approach to improve standardized developmental surveillance and screening (DSS) within primary care practices found that use of such a system significantly increased the number of children screened at 9, 18, and 30 months of age. It also increased the number of children who ultimately were diagnosed as having a developmental delay.
AHRQ-funded; HS017939
Citation: Carroll AE, Bauer NS, Dugan TM .
Use of a computerized decision aid for developmental surveillance and screening: a randomized clinical trial.
JAMA Pediatr. 2014 Sep;168(9):815-21. doi: 10.1001/jamapediatrics.2014.464..
Keywords: Health Information Technology (HIT), Clinical Decision Support (CDS), Primary Care, Children/Adolescents
Bauer NS, Carroll AE, Downs SM
Understanding the acceptability of a computer decision support system in pediatric primary care.
In this study, the investigators examine the attitudes and opinions of pediatric users' toward the Child Health Improvement through Computer Automation (CHICA) system, a computer decision support system linked to an electronic health record in four community pediatric clinics. The investigators found that pediatric users appreciated the system's automation and enhancements that allowed relevant and meaningful clinical data to be accessible at point of care.
AHRQ-funded; HS018453; HS017939.
Citation: Bauer NS, Carroll AE, Downs SM .
Understanding the acceptability of a computer decision support system in pediatric primary care.
J Am Med Inform Assoc 2014 Jan-Feb;21(1):146-53. doi: 10.1136/amiajnl-2013-001851..
Keywords: Children/Adolescents, Clinical Decision Support (CDS), Shared Decision Making, Electronic Health Records (EHRs), Health Information Technology (HIT), Primary Care
Bauer NS, Carroll AE, Downs SM
Understanding the acceptability of a computer decision support system in pediatric primary care.
In this study, the investigators examine the attitudes and opinions of pediatric users' toward the Child Health Improvement through Computer Automation (CHICA) system, a computer decision support system linked to an electronic health record in four community pediatric clinics. The investigators found that pediatric users appreciated the system's automation and enhancements that allowed relevant and meaningful clinical data to be accessible at point of care.
AHRQ-funded; HS018453; HS017939.
Citation: Bauer NS, Carroll AE, Downs SM .
Understanding the acceptability of a computer decision support system in pediatric primary care.
J Am Med Inform Assoc 2014 Jan-Feb;21(1):146-53. doi: 10.1136/amiajnl-2013-001851..
Keywords: Children/Adolescents, Clinical Decision Support (CDS), Shared Decision Making, Electronic Health Records (EHRs), Health Information Technology (HIT), Primary Care