National Healthcare Quality and Disparities Report
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Search All Research Studies
Topics
- Autism (1)
- Children/Adolescents (2)
- (-) Clinical Decision Support (CDS) (5)
- Diagnostic Safety and Quality (1)
- Evidence-Based Practice (1)
- Health Information Technology (HIT) (1)
- Health Services Research (HSR) (1)
- Imaging (1)
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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 5 of 5 Research Studies DisplayedWestafer LM, Kunz A, Bugajska P
Provider perspectives on the use of evidence-based risk stratification tools in the evaluation of pulmonary embolism: a qualitative study.
Providers often pursue imaging in patients at low risk of pulmonary embolism (PE), resulting in imaging yields <10% and false-positive imaging rates of 10% to 25%. Attempts to curb overtesting have had only modest success and no interventions have used implementation science frameworks. The objective of this study was to identify barriers and facilitators to the adoption of evidence-based diagnostic testing for PE.
AHRQ-funded; HS025701.
Citation: Westafer LM, Kunz A, Bugajska P .
Provider perspectives on the use of evidence-based risk stratification tools in the evaluation of pulmonary embolism: a qualitative study.
Acad Emerg Med 2020 Jun;27(6):447-56. doi: 10.1111/acem.13908..
Keywords: Respiratory Conditions, Evidence-Based Practice, Diagnostic Safety and Quality, Imaging, Shared Decision Making, Clinical Decision Support (CDS), Practice Patterns, Provider: Physician, Provider: Clinician, Provider
Islam R, Weir CR, Jones M
Understanding complex clinical reasoning in infectious diseases for improving clinical decision support design.
The purpose of the study was to examine the constituents of decision complexity and explore the cognitive strategies clinicians use to control and adapt to their information environment. The following three themes emerged as the constituents of decision complexity experienced by the Infectious Diseases experts: 1) the overall clinical picture does not match the pattern, 2) a lack of comprehension of the situation and 3) dealing with social and emotional pressures such as fear and anxiety.
AHRQ-funded; HS023349.
Citation: Islam R, Weir CR, Jones M .
Understanding complex clinical reasoning in infectious diseases for improving clinical decision support design.
BMC Med Inform Decis Mak 2015 Nov 30;15:101. doi: 10.1186/s12911-015-0221-z.
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Keywords: Clinical Decision Support (CDS), Health Services Research (HSR), Practice Patterns
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
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
McCullagh LJ, Sofianou A, Kannry J
User centered clinical decision support tools: adoption across clinician training level.
This study examined the differences in adoption of CDS tools across providers’ training level. It found that the completion rates of the CDS calculator and medication order sets were higher among first year residents compared to all other training levels. Attending physicians were the less likely to accept the initial step of the CDS tool (29.3 percent) or complete the medication order sets (22.4 percent) that guided their prescription decisions.
AHRQ-funded; HS018491.
Citation: McCullagh LJ, Sofianou A, Kannry J .
User centered clinical decision support tools: adoption across clinician training level.
Appl Clin Inform 2014 Dec 17;5(4):1015-25. doi: 10.4338/aci-2014-05-ra-0048.
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Keywords: Clinical Decision Support (CDS), Shared Decision Making, Practice Patterns